diff --git a/examples/Notebook/Animations Using clear_output.ipynb b/examples/IPython Kernel/Animations Using clear_output.ipynb
similarity index 100%
rename from examples/Notebook/Animations Using clear_output.ipynb
rename to examples/IPython Kernel/Animations Using clear_output.ipynb
diff --git a/examples/IPython Kernel/Background Jobs.ipynb b/examples/IPython Kernel/Background Jobs.ipynb
index b0b561e..165f1cd 100644
--- a/examples/IPython Kernel/Background Jobs.ipynb
+++ b/examples/IPython Kernel/Background Jobs.ipynb
@@ -1,7 +1,6 @@
{
"metadata": {
- "name": "",
- "signature": "sha256:481e128e553ec13e039f3e3f5e567cc3caffe391b78b9821ee883fb8770ebc82"
+ "name": "BackgroundJobs"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -9,17 +8,11 @@
{
"cells": [
{
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Background Jobs"
- ]
- },
- {
"cell_type": "markdown",
"metadata": {},
"source": [
+ "# Simple interactive bacgkround jobs with IPython\n",
+ "\n",
"We start by loading the `backgroundjobs` library and defining a few trivial functions to illustrate things with."
]
},
@@ -27,7 +20,6 @@
"cell_type": "code",
"collapsed": false,
"input": [
- "from __future__ import print_function\n",
"from IPython.lib import backgroundjobs as bg\n",
"\n",
"import sys\n",
@@ -47,9 +39,9 @@
"def printfunc(interval=1, reps=5):\n",
" for n in range(reps):\n",
" time.sleep(interval)\n",
- " print('In the background...', n)\n",
+ " print 'In the background...', n\n",
" sys.stdout.flush()\n",
- " print('All done!')\n",
+ " print 'All done!'\n",
" sys.stdout.flush()"
],
"language": "python",
@@ -62,8 +54,8 @@
"metadata": {},
"source": [
"Now, we can create a job manager (called simply `jobs`) and use it to submit new jobs.\n",
- "<br>\n",
- "Run the cell below and wait a few seconds for the whole thing to finish, until you see the \"All done!\" printout."
+ "\n",
+ "Run the cell below, it will show when the jobs start. Wait a few seconds until you see the 'all done' completion message:"
]
},
{
@@ -75,12 +67,7 @@
"# Start a few jobs, the first one will have ID # 0\n",
"jobs.new(sleepfunc, 4)\n",
"jobs.new(sleepfunc, kw={'reps':2})\n",
- "jobs.new('printfunc(1,3)')\n",
- "\n",
- "# This makes a couple of jobs which will die. Let's keep a reference to\n",
- "# them for easier traceback reporting later\n",
- "diejob1 = jobs.new(diefunc, 1)\n",
- "diejob2 = jobs.new(diefunc, 2)"
+ "jobs.new('printfunc(1,3)')"
],
"language": "python",
"metadata": {},
@@ -91,13 +78,46 @@
"text": [
"Starting job # 0 in a separate thread.\n",
"Starting job # 2 in a separate thread.\n",
- "Starting job # 3 in a separate thread.\n",
- "Starting job # 4 in a separate thread.\n",
- "Starting job # 5 in a separate thread.\n"
+ "Starting job # 3 in a separate thread.\n"
+ ]
+ },
+ {
+ "output_type": "pyout",
+ "prompt_number": 10,
+ "text": [
+ "<BackgroundJob #3: printfunc(1,3)>"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "In the background... 0\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "In the background... 1\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "In the background... 2\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "All done!\n"
]
}
],
- "prompt_number": 2
+ "prompt_number": 10
},
{
"cell_type": "markdown",
@@ -119,27 +139,15 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "In the background... 0\n",
- "Running jobs:"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "0 : <function sleepfunc at 0x102cc6848>\n",
- "2 : <function sleepfunc at 0x102cc6848>\n",
+ "Completed jobs:\n",
+ "0 : <function sleepfunc at 0x314f848>\n",
+ "2 : <function sleepfunc at 0x314f848>\n",
"3 : printfunc(1,3)\n",
- "5 : <function diefunc at 0x102cc68c0>\n",
- "\n",
- "Dead jobs:\n",
- "4 : <function diefunc at 0x102cc68c0>\n",
"\n"
]
}
],
- "prompt_number": 3
+ "prompt_number": 11
},
{
"cell_type": "markdown",
@@ -152,14 +160,58 @@
"cell_type": "code",
"collapsed": false,
"input": [
- "jobs[0].result\n",
- "j0 = jobs[0]\n",
- "j0.join?"
+ "jobs[0].result"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 4
+ "outputs": [
+ {
+ "output_type": "pyout",
+ "prompt_number": 12,
+ "text": [
+ "{'args': (), 'interval': 4, 'kwargs': {}}"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Errors and tracebacks"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The jobs manager tries to help you with debugging:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# This makes a couple of jobs which will die. Let's keep a reference to\n",
+ "# them for easier traceback reporting later\n",
+ "diejob1 = jobs.new(diefunc, 1)\n",
+ "diejob2 = jobs.new(diefunc, 2)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Starting job # 4 in a separate thread.\n",
+ "Starting job # 5 in a separate thread.\n"
+ ]
+ }
+ ],
+ "prompt_number": 13
},
{
"cell_type": "markdown",
@@ -184,21 +236,26 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "In the background... 1\n",
- "In the background... 2\n",
- "All done!\n"
- ]
- },
- {
- "ename": "SyntaxError",
- "evalue": "invalid syntax (<ipython-input-5-a90bd59af669>, line 1)",
- "output_type": "pyerr",
- "traceback": [
- "\u001b[0;36m File \u001b[0;32m\"<ipython-input-5-a90bd59af669>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m print \"Status of diejob1:\", diejob1.status\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+ "Status of diejob1: Dead (Exception), call jobs.traceback() for details\n",
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
+ "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
+ "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
+ "\u001b[0;32m 482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 483\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m--> 484\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\n",
+ "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
+ "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\n",
+ "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n"
]
}
],
- "prompt_number": 5
+ "prompt_number": 14
},
{
"cell_type": "markdown",
@@ -220,44 +277,44 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Traceback for: <BackgroundJob #4: <function diefunc at 0x102cc68c0>>\n",
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n",
- "\u001b[0;31mException\u001b[0m Traceback (most recent call last)\n",
- "\u001b[0;32m/Users/bgranger/Documents/Computing/IPython/code/ipython/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self)\u001b[0m\n",
- "\u001b[1;32m 489\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m 490\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "Traceback for: <BackgroundJob #4: <function diefunc at 0x314f668>>\n",
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
+ "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
+ "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
+ "\u001b[0;32m 482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 483\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m--> 484\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
- "\u001b[0;32m<ipython-input-1-7391f8ae281b>\u001b[0m in \u001b[0;36mdiefunc\u001b[0;34m(interval, *a, **kw)\u001b[0m\n",
- "\u001b[1;32m 14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m 15\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m---> 16\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Dead job with interval %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m 18\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
+ "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\n",
- "\u001b[0;31mException\u001b[0m: Dead job with interval 1\n",
+ "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n",
"\n",
- "Traceback for: <BackgroundJob #5: <function diefunc at 0x102cc68c0>>\n",
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n",
- "\u001b[0;31mException\u001b[0m Traceback (most recent call last)\n",
- "\u001b[0;32m/Users/bgranger/Documents/Computing/IPython/code/ipython/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self)\u001b[0m\n",
- "\u001b[1;32m 489\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m 490\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "Traceback for: <BackgroundJob #5: <function diefunc at 0x314f668>>\n",
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
+ "\u001b[1;31mException\u001b[0m Traceback (most recent call last)\n",
+ "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
+ "\u001b[0;32m 482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 483\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m--> 484\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
- "\u001b[0;32m<ipython-input-1-7391f8ae281b>\u001b[0m in \u001b[0;36mdiefunc\u001b[0;34m(interval, *a, **kw)\u001b[0m\n",
- "\u001b[1;32m 14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m 15\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m---> 16\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Dead job with interval %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m 18\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
+ "\u001b[0;32m 13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 14\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m 17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\n",
- "\u001b[0;31mException\u001b[0m: Dead job with interval 2\n",
+ "\u001b[1;31mException\u001b[0m: Dead job with interval 2\n",
"\n"
]
}
],
- "prompt_number": 6
+ "prompt_number": 15
},
{
"cell_type": "markdown",
@@ -284,7 +341,7 @@
]
}
],
- "prompt_number": 7
+ "prompt_number": 16
},
{
"cell_type": "markdown",
@@ -302,13 +359,13 @@
"language": "python",
"metadata": {},
"outputs": [],
- "prompt_number": 8
+ "prompt_number": 17
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "It's easy to wait on a job:"
+ "Jobs have a `.join` method that lets you wait on their thread for completion:"
]
},
{
@@ -316,11 +373,7 @@
"collapsed": false,
"input": [
"j = jobs.new(sleepfunc, 2)\n",
- "print(\"Will wait for j now...\")\n",
- "sys.stdout.flush()\n",
- "j.join()\n",
- "print(\"Result from j:\")\n",
- "j.result"
+ "j.join?"
],
"language": "python",
"metadata": {},
@@ -329,27 +382,22 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Starting job # 0 in a separate thread.\n",
- "Will wait for j now...\n"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Result from j:\n"
- ]
- },
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 9,
- "text": [
- "{'args': (), 'interval': 2, 'kwargs': {}}"
+ "Starting job # 0 in a separate thread.\n"
]
}
],
- "prompt_number": 9
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Exercise\n",
+ "\n",
+ "1. Start a new job that calls `sleepfunc` with a 5-second wait\n",
+ "2. Print a short message that indicates you are waiting (note: you'll need to flush stdout to see that print output appear).\n",
+ "3. Wait on the job and then print its result."
+ ]
}
],
"metadata": {}
diff --git a/examples/IPython Kernel/Beyond Plain Python.ipynb b/examples/IPython Kernel/Beyond Plain Python.ipynb
new file mode 100644
index 0000000..de7126c
--- /dev/null
+++ b/examples/IPython Kernel/Beyond Plain Python.ipynb
@@ -0,0 +1,1613 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:31071a05d0ecd75ed72fe3f0de0ad447a6f85cffe382c26efa5e68db1fee54ee"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "IPython: beyond plain Python"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When executing code in IPython, all valid Python syntax works as-is, but IPython provides a number of features designed to make the interactive experience more fluid and efficient."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "First things first: running code, getting help"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In the notebook, to run a cell of code, hit `Shift-Enter`. This executes the cell and puts the cursor in the next cell below, or makes a new one if you are at the end. Alternately, you can use:\n",
+ " \n",
+ "- `Alt-Enter` to force the creation of a new cell unconditionally (useful when inserting new content in the middle of an existing notebook).\n",
+ "- `Control-Enter` executes the cell and keeps the cursor in the same cell, useful for quick experimentation of snippets that you don't need to keep permanently."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print \"Hi\""
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Hi\n"
+ ]
+ }
+ ],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Getting help:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "?"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Typing `object_name?` will print all sorts of details about any object, including docstrings, function definition lines (for call arguments) and constructor details for classes."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import collections\n",
+ "collections.namedtuple?"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "collections.Counter??"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "*int*?"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "An IPython quick reference card:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%quickref"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Tab completion"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Tab completion, especially for attributes, is a convenient way to explore the structure of any object you\u2019re dealing with. Simply type `object_name.<TAB>` to view the object\u2019s attributes. Besides Python objects and keywords, tab completion also works on file and directory names."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "collections."
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "The interactive workflow: input, output, history"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "2+10"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 7,
+ "text": [
+ "12"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "_+10"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 8,
+ "text": [
+ "22"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "You can suppress the storage and rendering of output if you append `;` to the last cell (this comes in handy when plotting with matplotlib, for example):"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "10+20;"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "_"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 10,
+ "text": [
+ "22"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "The output is stored in `_N` and `Out[N]` variables:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "_10 == Out[10]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 11,
+ "text": [
+ "True"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "And the last three have shorthands for convenience:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print 'last output:', _\n",
+ "print 'next one :', __\n",
+ "print 'and next :', ___"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "last output: True\n",
+ "next one : 22\n",
+ "and next : 22\n"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "In[11]"
+ ],
+ "language": "python",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "-"
+ }
+ },
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 13,
+ "text": [
+ "u'_10 == Out[10]'"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "_i"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 14,
+ "text": [
+ "u'In[11]'"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "_ii"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 15,
+ "text": [
+ "u'In[11]'"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print 'last input:', _i\n",
+ "print 'next one :', _ii\n",
+ "print 'and next :', _iii"
+ ],
+ "language": "python",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "subslide"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "last input: _ii\n",
+ "next one : _i\n",
+ "and next : In[11]\n"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%history -n 1-5"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ " 1: print \"Hi\"\n",
+ " 2: ?\n",
+ " 3:\n",
+ "import collections\n",
+ "collections.namedtuple?\n",
+ " 4: collections.Counter??\n",
+ " 5: *int*?\n"
+ ]
+ }
+ ],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "subslide"
+ }
+ },
+ "source": [
+ "**Exercise**\n",
+ "\n",
+ "Write the last 10 lines of history to a file named `log.py`."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Accessing the underlying operating system"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!pwd"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "/home/fperez/ipython/tutorial/notebooks\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "files = !ls\n",
+ "print \"My current directory's files:\"\n",
+ "print files"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "My current directory's files:\n",
+ "['BackgroundJobs.ipynb', 'Custom Display Logic.ipynb', 'Customizing IPython - Condensed.ipynb', 'Customizing IPython - Config.ipynb', 'Customizing IPython - Extensions.ipynb', 'Customizing IPython - Magics.ipynb', 'data', 'figs', 'flare.json', 'Index.ipynb', 'Interactive Widgets.ipynb', 'IPython - beyond plain Python.ipynb', 'kernel-embedding', 'Markdown Cells.ipynb', 'myscript.py', 'nbconvert_arch.png', 'NbConvert from command line.ipynb', 'NbConvert Python library.ipynb', 'Notebook and javascript extension.ipynb', 'Notebook Basics.ipynb', 'Overview of IPython.parallel.ipynb', 'parallel', 'Rich Display System.ipynb', 'Running a Secure Public Notebook.ipynb', 'Running Code.ipynb', 'Sample.ipynb', 'soln', 'Terminal usage.ipynb', 'text_analysis.py', 'Typesetting Math Using MathJax.ipynb']\n"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!echo $files"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[BackgroundJobs.ipynb, Custom Display Logic.ipynb, Customizing IPython - Condensed.ipynb, Customizing IPython - Config.ipynb, Customizing IPython - Extensions.ipynb, Customizing IPython - Magics.ipynb, data, figs, flare.json, Index.ipynb, Interactive Widgets.ipynb, IPython - beyond plain Python.ipynb, kernel-embedding, Markdown Cells.ipynb, myscript.py, nbconvert_arch.png, NbConvert from command line.ipynb, NbConvert Python library.ipynb, Notebook and javascript extension.ipynb, Notebook Basics.ipynb, Overview of IPython.parallel.ipynb, parallel, Rich Display System.ipynb, Running a Secure Public Notebook.ipynb, Running Code.ipynb, Sample.ipynb, soln, Terminal usage.ipynb, text_analysis.py, Typesetting Math Using MathJax.ipynb]\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!echo {files[0].upper()}"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "BACKGROUNDJOBS.IPYNB\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Note that all this is available even in multiline blocks:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import os\n",
+ "for i,f in enumerate(files):\n",
+ " if f.endswith('ipynb'):\n",
+ " !echo {\"%02d\" % i} - \"{os.path.splitext(f)[0]}\"\n",
+ " else:\n",
+ " print '--'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "00 - BackgroundJobs\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "01 - Custom Display Logic\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "02 - Customizing IPython - Condensed\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "03 - Customizing IPython - Config\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "04 - Customizing IPython - Extensions\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "05 - Customizing IPython - Magics\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "--\n",
+ "--\n",
+ "--\n",
+ "09 - Index\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "10 - Interactive Widgets\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "11 - IPython - beyond plain Python\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "--\n",
+ "13 - Markdown Cells\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "--\n",
+ "--\n",
+ "16 - NbConvert from command line\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "17 - NbConvert Python library\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "18 - Notebook and javascript extension\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "19 - Notebook Basics\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "20 - Overview of IPython.parallel\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "--\n",
+ "22 - Rich Display System\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "23 - Running a Secure Public Notebook\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "24 - Running Code\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "25 - Sample\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "--\n",
+ "27 - Terminal usage\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "--\n",
+ "29 - Typesetting Math Using MathJax\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 27
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Beyond Python: magic functions"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The IPyhton 'magic' functions are a set of commands, invoked by prepending one or two `%` signs to their name, that live in a namespace separate from your normal Python variables and provide a more command-like interface. They take flags with `--` and arguments without quotes, parentheses or commas. The motivation behind this system is two-fold:\n",
+ " \n",
+ "- To provide an orthogonal namespace for controlling IPython itself and exposing other system-oriented functionality.\n",
+ "\n",
+ "- To expose a calling mode that requires minimal verbosity and typing while working interactively. Thus the inspiration taken from the classic Unix shell style for commands."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%magic"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 28
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Line vs cell magics:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%timeit range(10)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "10000000 loops, best of 3: 190 ns per loop\n"
+ ]
+ }
+ ],
+ "prompt_number": 29
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%timeit\n",
+ "range(10)\n",
+ "range(100)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "1000000 loops, best of 3: 888 ns per loop\n"
+ ]
+ }
+ ],
+ "prompt_number": 30
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Line magics can be used even inside code blocks:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "for i in range(5):\n",
+ " size = i*100\n",
+ " print 'size:',size, \n",
+ " %timeit range(size)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "size: 010000000 loops, best of 3: 129 ns per loop"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ " size: 1001000000 loops, best of 3: 649 ns per loop"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ " size: 2001000000 loops, best of 3: 1.09 \u00b5s per loop"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ " size: 3001000000 loops, best of 3: 1.74 \u00b5s per loop"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ " size: 400100000 loops, best of 3: 2.72 \u00b5s per loop"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 31
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Magics can do anything they want with their input, so it doesn't have to be valid Python:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%bash\n",
+ "echo \"My shell is:\" $SHELL\n",
+ "echo \"My memory status is:\"\n",
+ "free"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "My shell is: /bin/bash\n",
+ "My memory status is:\n",
+ " total used free shared buffers cached\n",
+ "Mem: 7870888 6389328 1481560 0 662860 2505172\n",
+ "-/+ buffers/cache: 3221296 4649592\n",
+ "Swap: 3905532 4852 3900680\n"
+ ]
+ }
+ ],
+ "prompt_number": 32
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Another interesting cell magic: create any file you want locally from the notebook:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%writefile test.txt\n",
+ "This is a test file!\n",
+ "It can contain anything I want...\n",
+ "\n",
+ "And more..."
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Writing test.txt\n"
+ ]
+ }
+ ],
+ "prompt_number": 33
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!cat test.txt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "This is a test file!\r\n",
+ "It can contain anything I want...\r\n",
+ "\r\n",
+ "And more..."
+ ]
+ }
+ ],
+ "prompt_number": 34
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's see what other magics are currently defined in the system:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%lsmagic"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "json": [
+ "{\"cell\": {\"prun\": \"ExecutionMagics\", \"file\": \"Other\", \"!\": \"OSMagics\", \"capture\": \"ExecutionMagics\", \"timeit\": \"ExecutionMagics\", \"script\": \"ScriptMagics\", \"pypy\": \"Other\", \"system\": \"OSMagics\", \"perl\": \"Other\", \"HTML\": \"Other\", \"bash\": \"Other\", \"python\": \"Other\", \"SVG\": \"Other\", \"javascript\": \"DisplayMagics\", \"writefile\": \"OSMagics\", \"ruby\": \"Other\", \"python3\": \"Other\", \"python2\": \"Other\", \"latex\": \"DisplayMagics\", \"sx\": \"OSMagics\", \"svg\": \"DisplayMagics\", \"html\": \"DisplayMagics\", \"sh\": \"Other\", \"time\": \"ExecutionMagics\", \"debug\": \"ExecutionMagics\"}, \"line\": {\"psource\": \"NamespaceMagics\", \"logstart\": \"LoggingMagics\", \"popd\": \"OSMagics\", \"loadpy\": \"CodeMagics\", \"install_ext\": \"ExtensionMagics\", \"colors\": \"BasicMagics\", \"who_ls\": \"NamespaceMagics\", \"lf\": \"Other\", \"install_profiles\": \"DeprecatedMagics\", \"clk\": \"Other\", \"ll\": \"Other\", \"pprint\": \"BasicMagics\", \"lk\": \"Other\", \"ls\": \"Other\", \"save\": \"CodeMagics\", \"tb\": \"ExecutionMagics\", \"lx\": \"Other\", \"dl\": \"Other\", \"pylab\": \"PylabMagics\", \"dd\": \"Other\", \"quickref\": \"BasicMagics\", \"dx\": \"Other\", \"d\": \"Other\", \"magic\": \"BasicMagics\", \"dhist\": \"OSMagics\", \"edit\": \"KernelMagics\", \"logstop\": \"LoggingMagics\", \"gui\": \"BasicMagics\", \"alias_magic\": \"BasicMagics\", \"debug\": \"ExecutionMagics\", \"page\": \"BasicMagics\", \"logstate\": \"LoggingMagics\", \"ed\": \"Other\", \"pushd\": \"OSMagics\", \"timeit\": \"ExecutionMagics\", \"rehashx\": \"OSMagics\", \"hist\": \"Other\", \"qtconsole\": \"KernelMagics\", \"rm\": \"Other\", \"dirs\": \"OSMagics\", \"run\": \"ExecutionMagics\", \"reset_selective\": \"NamespaceMagics\", \"rep\": \"Other\", \"pinfo2\": \"NamespaceMagics\", \"matplotlib\": \"PylabMagics\", \"automagic\": \"AutoMagics\", \"doctest_mode\": \"KernelMagics\", \"logoff\": \"LoggingMagics\", \"reload_ext\": \"ExtensionMagics\", \"pdb\": \"ExecutionMagics\", \"load\": \"CodeMagics\", \"lsmagic\": \"BasicMagics\", \"cl\": \"Other\", \"autosave\": \"KernelMagics\", \"cd\": \"OSMagics\", \"pastebin\": \"CodeMagics\", \"prun\": \"ExecutionMagics\", \"cp\": \"Other\", \"autocall\": \"AutoMagics\", \"bookmark\": \"OSMagics\", \"connect_info\": \"KernelMagics\", \"mkdir\": \"Other\", \"system\": \"OSMagics\", \"whos\": \"NamespaceMagics\", \"rmdir\": \"Other\", \"unload_ext\": \"ExtensionMagics\", \"store\": \"StoreMagics\", \"more\": \"KernelMagics\", \"pdef\": \"NamespaceMagics\", \"precision\": \"BasicMagics\", \"pinfo\": \"NamespaceMagics\", \"pwd\": \"OSMagics\", \"psearch\": \"NamespaceMagics\", \"reset\": \"NamespaceMagics\", \"recall\": \"HistoryMagics\", \"xdel\": \"NamespaceMagics\", \"xmode\": \"BasicMagics\", \"cat\": \"Other\", \"mv\": \"Other\", \"rerun\": \"HistoryMagics\", \"logon\": \"LoggingMagics\", \"history\": \"HistoryMagics\", \"pycat\": \"OSMagics\", \"unalias\": \"OSMagics\", \"install_default_config\": \"DeprecatedMagics\", \"env\": \"OSMagics\", \"load_ext\": \"ExtensionMagics\", \"config\": \"ConfigMagics\", \"killbgscripts\": \"ScriptMagics\", \"profile\": \"BasicMagics\", \"pfile\": \"NamespaceMagics\", \"less\": \"KernelMagics\", \"who\": \"NamespaceMagics\", \"notebook\": \"BasicMagics\", \"man\": \"KernelMagics\", \"sx\": \"OSMagics\", \"macro\": \"ExecutionMagics\", \"clear\": \"KernelMagics\", \"alias\": \"OSMagics\", \"time\": \"ExecutionMagics\", \"sc\": \"OSMagics\", \"ldir\": \"Other\", \"pdoc\": \"NamespaceMagics\"}}"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 35,
+ "text": [
+ "Available line magics:\n",
+ "%alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %cl %clear %clk %colors %config %connect_info %cp %d %dd %debug %dhist %dirs %dl %doctest_mode %dx %ed %edit %env %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
+ "\n",
+ "Available cell magics:\n",
+ "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
+ "\n",
+ "Automagic is ON, % prefix IS NOT needed for line magics."
+ ]
+ }
+ ],
+ "prompt_number": 35
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Running normal Python code: execution and errors"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Not only can you input normal Python code, you can even paste straight from a Python or IPython shell session:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ ">>> # Fibonacci series:\n",
+ "... # the sum of two elements defines the next\n",
+ "... a, b = 0, 1\n",
+ ">>> while b < 10:\n",
+ "... print b\n",
+ "... a, b = b, a+b"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "1\n",
+ "1\n",
+ "2\n",
+ "3\n",
+ "5\n",
+ "8\n"
+ ]
+ }
+ ],
+ "prompt_number": 36
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "In [1]: for i in range(10):\n",
+ " ...: print i,\n",
+ " ...: "
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "0 1 2 3 4 5 6 7 8 9\n"
+ ]
+ }
+ ],
+ "prompt_number": 37
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "And when your code produces errors, you can control how they are displayed with the `%xmode` magic:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%writefile mod.py\n",
+ "\n",
+ "def f(x):\n",
+ " return 1.0/(x-1)\n",
+ "\n",
+ "def g(y):\n",
+ " return f(y+1)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Writing mod.py\n"
+ ]
+ }
+ ],
+ "prompt_number": 38
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now let's call the function `g` with an argument that would produce an error:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import mod\n",
+ "mod.g(0)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "ZeroDivisionError",
+ "evalue": "float division by zero",
+ "output_type": "pyerr",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m<ipython-input-39-a54c5799f57e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmod\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
+ ]
+ }
+ ],
+ "prompt_number": 39
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%xmode plain\n",
+ "mod.g(0)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Exception reporting mode: Plain\n"
+ ]
+ },
+ {
+ "ename": "ZeroDivisionError",
+ "evalue": "float division by zero",
+ "output_type": "pyerr",
+ "traceback": [
+ "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
+ " File \u001b[0;32m\"<ipython-input-40-5a5bcec1553f>\"\u001b[0m, line \u001b[0;32m2\u001b[0m, in \u001b[0;35m<module>\u001b[0m\n mod.g(0)\n",
+ " File \u001b[0;32m\"mod.py\"\u001b[0m, line \u001b[0;32m6\u001b[0m, in \u001b[0;35mg\u001b[0m\n return f(y+1)\n",
+ "\u001b[1;36m File \u001b[1;32m\"mod.py\"\u001b[1;36m, line \u001b[1;32m3\u001b[1;36m, in \u001b[1;35mf\u001b[1;36m\u001b[0m\n\u001b[1;33m return 1.0/(x-1)\u001b[0m\n",
+ "\u001b[1;31mZeroDivisionError\u001b[0m\u001b[1;31m:\u001b[0m float division by zero\n"
+ ]
+ }
+ ],
+ "prompt_number": 40
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%xmode verbose\n",
+ "mod.g(0)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Exception reporting mode: Verbose\n"
+ ]
+ },
+ {
+ "ename": "ZeroDivisionError",
+ "evalue": "float division by zero",
+ "output_type": "pyerr",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m<ipython-input-41-81967cfaa0c3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mu'xmode verbose'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mmod.g\u001b[0m \u001b[1;34m= <function g at 0x237fc08>\u001b[0m\n",
+ "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y=0)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mf\u001b[0m \u001b[1;34m= <function f at 0x2367c08>\u001b[0m\u001b[1;34m\n \u001b[0m\u001b[0;36my\u001b[0m \u001b[1;34m= 0\u001b[0m\n",
+ "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x=1)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[0;36mx\u001b[0m \u001b[1;34m= 1\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
+ ]
+ }
+ ],
+ "prompt_number": 41
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The default `%xmode` is \"context\", which shows additional context but not all local variables. Let's restore that one for the rest of our session."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%xmode context"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Exception reporting mode: Context\n"
+ ]
+ }
+ ],
+ "prompt_number": 42
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Running code in other languages with special `%%` magics"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%perl\n",
+ "@months = (\"July\", \"August\", \"September\");\n",
+ "print $months[0];"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "July"
+ ]
+ }
+ ],
+ "prompt_number": 43
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%ruby\n",
+ "name = \"world\"\n",
+ "puts \"Hello #{name.capitalize}!\""
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Hello World!\n"
+ ]
+ }
+ ],
+ "prompt_number": 44
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Exercise"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Write a cell that executes in Bash and prints your current working directory as well as the date.\n",
+ "\n",
+ "Apologies to Windows users who may not have Bash available, not sure how to obtain the equivalent result with `cmd.exe` or Powershell."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%load soln/bash-script"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Raw Input in the notebook"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Since 1.0 the IPython notebook web application support `raw_input` which for example allow us to invoke the `%debug` magic in the notebook:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "mod.g(0)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "ZeroDivisionError",
+ "evalue": "float division by zero",
+ "output_type": "pyerr",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m<ipython-input-45-5e708f13c839>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
+ ]
+ }
+ ],
+ "prompt_number": 45
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%debug"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "> \u001b[0;32m/Users/bussonniermatthias/ipython-in-depth/notebooks/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[0;34m()\u001b[0m\n",
+ "\u001b[0;32m 2 \u001b[0;31m\u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0;36m1.0\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m 4 \u001b[0;31m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "ipdb> x\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "1\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "ipdb> up\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "> \u001b[0;32m/Users/bussonniermatthias/ipython-in-depth/notebooks/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[0;34m()\u001b[0m\n",
+ "\u001b[0;32m 4 \u001b[0;31m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m 5 \u001b[0;31m\u001b[0;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\u001b[0;32m----> 6 \u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "ipdb> y\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "0\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "ipdb> up\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "> \u001b[0;32m<ipython-input-37-5e708f13c839>\u001b[0m(1)\u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n",
+ "\u001b[0;32m----> 1 \u001b[0;31m\u001b[0mmod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0m\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "ipdb> exit\n"
+ ]
+ }
+ ],
+ "prompt_number": 38
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Don't foget to exit your debugging session. Raw input can of course be use to ask for user input:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "enjoy = raw_input('Are you enjoying this tutorial ?')\n",
+ "print 'enjoy is :', enjoy"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Are you enjoying this tutorial ?Yes !\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "enjoy is : Yes !\n"
+ ]
+ }
+ ],
+ "prompt_number": 39
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Plotting in the notebook"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This magic configures matplotlib to render its figures inline:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%matplotlib inline"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 46
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 47
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "x = np.linspace(0, 2*np.pi, 300)\n",
+ "y = np.sin(x**2)\n",
+ "plt.plot(x, y)\n",
+ "plt.title(\"A little chirp\")\n",
+ "fig = plt.gcf() # let's keep the figure object around for later..."
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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9sqUF+N3vgI0bnV6JWNywaUqU0LcfbMbrQJNw8BD63r35RzdWirEAP6G3Et3I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\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x3436950>"
+ ]
+ }
+ ],
+ "prompt_number": 48
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "The IPython kernel/client model"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%connect_info"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "{\n",
+ " \"stdin_port\": 50023, \n",
+ " \"ip\": \"127.0.0.1\", \n",
+ " \"control_port\": 50024, \n",
+ " \"hb_port\": 50025, \n",
+ " \"signature_scheme\": \"hmac-sha256\", \n",
+ " \"key\": \"b54b8859-d64d-48bb-814a-909f9beb3316\", \n",
+ " \"shell_port\": 50021, \n",
+ " \"transport\": \"tcp\", \n",
+ " \"iopub_port\": 50022\n",
+ "}\n",
+ "\n",
+ "Paste the above JSON into a file, and connect with:\n",
+ " $> ipython <app> --existing <file>\n",
+ "or, if you are local, you can connect with just:\n",
+ " $> ipython <app> --existing kernel-30f00f4a-230c-4e64-bea5-0e5f6a52cb40.json \n",
+ "or even just:\n",
+ " $> ipython <app> --existing \n",
+ "if this is the most recent IPython session you have started.\n"
+ ]
+ }
+ ],
+ "prompt_number": 43
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can connect automatically a Qt Console to the currently running kernel with the `%qtconsole` magic, or by typing `ipython console --existing <kernel-UUID>` in any terminal:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%qtconsole"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 83
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/IPython Kernel/Capturing Output.ipynb b/examples/IPython Kernel/Capturing Output.ipynb
new file mode 100644
index 0000000..6365a89
--- /dev/null
+++ b/examples/IPython Kernel/Capturing Output.ipynb
@@ -0,0 +1,332 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:df6354daf203e842bc040989d149760382d8ceec769160e4efe8cde9dfcb9107"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Capturing Output With <tt>%%capture</tt>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "IPython has a [cell magic](Cell Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from __future__ import print_function\n",
+ "import sys"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%capture\n",
+ "print('hi, stdout')\n",
+ "print('hi, stderr', file=sys.stderr)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%capture captured\n",
+ "print('hi, stdout')\n",
+ "print('hi, stderr', file=sys.stderr)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "captured"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 12,
+ "text": [
+ "<IPython.utils.capture.CapturedIO at 0x1076c9310>"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calling the object writes the output to stdout/stderr as appropriate."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "captured()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "hi, stdout\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "hi, stderr\n"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "captured.stdout"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 14,
+ "text": [
+ "'hi, stdout\\n'"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "captured.stderr"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 15,
+ "text": [
+ "'hi, stderr\\n'"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%matplotlib inline\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%capture wontshutup\n",
+ "\n",
+ "print(\"setting up X\")\n",
+ "x = np.linspace(0,5,1000)\n",
+ "print(\"step 2: constructing y-data\")\n",
+ "y = np.sin(x)\n",
+ "print(\"step 3: display info about y\")\n",
+ "plt.plot(x,y)\n",
+ "print(\"okay, I'm done now\")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "wontshutup()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "setting up X\n",
+ "step 2: constructing y-data\n",
+ "step 3: display info about y\n",
+ "okay, I'm done now\n"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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8HliyxByYdvCgafFceaW53aphQ3OoWlFOzNy7F/7v/8xr3TpYs8b8vm1bc2TD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\nAAAASUVORK5CYII=\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x10866ae90>"
+ ]
+ }
+ ],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%capture cap --no-stderr\n",
+ "print('hi, stdout')\n",
+ "print(\"hello, stderr\", file=sys.stderr)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "hello, stderr\n"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cap.stdout"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 20,
+ "text": [
+ "'hi, stdout\\n'"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cap.stderr"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 21,
+ "text": [
+ "''"
+ ]
+ }
+ ],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cap.outputs"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 22,
+ "text": [
+ "[]"
+ ]
+ }
+ ],
+ "prompt_number": 22
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/IPython Kernel/Custom Display Logic.ipynb b/examples/IPython Kernel/Custom Display Logic.ipynb
new file mode 100644
index 0000000..2e23ac4
--- /dev/null
+++ b/examples/IPython Kernel/Custom Display Logic.ipynb
@@ -0,0 +1,787 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:86c779d5798c4a68bda7e71c8ef320cb7ba9d7e3d0f1bc4b828ee65f617a5ae3"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Custom Display Logic"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Overview"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As described in the [Rich Output](Rich Output.ipynb) tutorial, the IPython display system can display rich representations of objects in the following formats:\n",
+ "\n",
+ "* JavaScript\n",
+ "* HTML\n",
+ "* PNG\n",
+ "* JPEG\n",
+ "* SVG\n",
+ "* LaTeX\n",
+ "* PDF\n",
+ "\n",
+ "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
+ "\n",
+ "1. Implementing special display methods such as `_repr_html_` when you define your class.\n",
+ "2. Registering a display function for a particular existing class.\n",
+ "\n",
+ "This Notebook describes and illustrates both approaches."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Import the IPython display functions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import (\n",
+ " display, display_html, display_png, display_svg\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Parts of this notebook need the matplotlib inline backend:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%matplotlib inline\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Special display methods"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The main idea of the first approach is that you have to implement special display methods when you define your class, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
+ "\n",
+ "* `_repr_html_`: return raw HTML as a string\n",
+ "* `_repr_json_`: return raw JSON as a string\n",
+ "* `_repr_jpeg_`: return raw JPEG data\n",
+ "* `_repr_png_`: return raw PNG data\n",
+ "* `_repr_svg_`: return raw SVG data as a string\n",
+ "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean and standard deviation. Here is the definition of the `Gaussian` class, which has a custom PNG and LaTeX representation."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.core.pylabtools import print_figure\n",
+ "from IPython.display import Image, SVG, Math\n",
+ "\n",
+ "class Gaussian(object):\n",
+ " \"\"\"A simple object holding data sampled from a Gaussian distribution.\n",
+ " \"\"\"\n",
+ " def __init__(self, mean=0.0, std=1, size=1000):\n",
+ " self.data = np.random.normal(mean, std, size)\n",
+ " self.mean = mean\n",
+ " self.std = std\n",
+ " self.size = size\n",
+ " # For caching plots that may be expensive to compute\n",
+ " self._png_data = None\n",
+ " \n",
+ " def _figure_data(self, format):\n",
+ " fig, ax = plt.subplots()\n",
+ " ax.hist(self.data, bins=50)\n",
+ " ax.set_title(self._repr_latex_())\n",
+ " ax.set_xlim(-10.0,10.0)\n",
+ " data = print_figure(fig, format)\n",
+ " # We MUST close the figure, otherwise IPython's display machinery\n",
+ " # will pick it up and send it as output, resulting in a double display\n",
+ " plt.close(fig)\n",
+ " return data\n",
+ " \n",
+ " def _repr_png_(self):\n",
+ " if self._png_data is None:\n",
+ " self._png_data = self._figure_data('png')\n",
+ " return self._png_data\n",
+ " \n",
+ " def _repr_latex_(self):\n",
+ " return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n",
+ " self.std, self.size)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Create an instance of the Gaussian distribution and return it to display the default representation:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "x = Gaussian(2.0, 1.0)\n",
+ "x"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "png": 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+ "prompt_number": 4,
+ "text": [
+ "<__main__.Gaussian at 0x106e7ae10>"
+ ]
+ }
+ ],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can also pass the object to the `display` function to display the default representation:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(x)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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+ "text": [
+ "<__main__.Gaussian at 0x106e7ae10>"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Use `display_png` to view the PNG representation:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_png(x)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"alert alert-success\">\n",
+ "It is important to note a subtle different between <code>display</code> and <code>display_png</code>. The former computes <em>all</em> representations of the object, and lets the notebook UI decide which to display. The later only computes the PNG representation.\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Create a new Gaussian with different parameters:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "x2 = Gaussian(0, 2, 2000)\n",
+ "x2"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$\\mathcal{N}(\\mu=0, \\sigma=2),\\ N=2000$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "png": 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+ "prompt_number": 7,
+ "text": [
+ "<__main__.Gaussian at 0x106e9ce90>"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can then compare the two Gaussians by displaying their histograms:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_png(x)\n",
+ "display_png(x2)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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+ "output_type": "display_data",
+ "png": 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+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Note that like `print`, you can call any of the `display` functions multiple times in a cell."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Adding IPython display support to existing objects"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When you are directly writing your own classes, you can adapt them for display in IPython by following the above approach. But in practice, you often need to work with existing classes that you can't easily modify. We now illustrate how to add rich output capabilities to existing objects. We will use the NumPy polynomials and change their default representation to be a formatted LaTeX expression."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "First, consider how a NumPy polynomial object renders by default:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "p = np.polynomial.Polynomial([1,2,3], [-10, 10])\n",
+ "p"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 9,
+ "text": [
+ "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Next, define a function that pretty-prints a polynomial as a LaTeX string:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def poly_to_latex(p):\n",
+ " terms = ['%.2g' % p.coef[0]]\n",
+ " if len(p) > 1:\n",
+ " term = 'x'\n",
+ " c = p.coef[1]\n",
+ " if c!=1:\n",
+ " term = ('%.2g ' % c) + term\n",
+ " terms.append(term)\n",
+ " if len(p) > 2:\n",
+ " for i in range(2, len(p)):\n",
+ " term = 'x^%d' % i\n",
+ " c = p.coef[i]\n",
+ " if c!=1:\n",
+ " term = ('%.2g ' % c) + term\n",
+ " terms.append(term)\n",
+ " px = '$P(x)=%s$' % '+'.join(terms)\n",
+ " dom = r', $x \\in [%.2g,\\ %.2g]$' % tuple(p.domain)\n",
+ " return px+dom"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This produces, on our polynomial ``p``, the following:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "poly_to_latex(p)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 11,
+ "text": [
+ "'$P(x)=1+2 x+3 x^2$, $x \\\\in [-10,\\\\ 10]$'"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can render this string using the `Latex` class:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import Latex\n",
+ "Latex(poly_to_latex(p))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 12,
+ "text": [
+ "<IPython.core.display.Latex object>"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "However, you can configure IPython to do this automatically by registering the `Polynomial` class and the `plot_to_latex` function with an IPython display formatter. Let's look at the default formatters provided by IPython:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ip = get_ipython()\n",
+ "for mime, formatter in ip.display_formatter.formatters.items():\n",
+ " print '%24s : %s' % (mime, formatter.__class__.__name__)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ " text/plain : PlainTextFormatter\n",
+ " image/jpeg : JPEGFormatter\n",
+ " text/html : HTMLFormatter\n",
+ " image/svg+xml : SVGFormatter\n",
+ " image/png : PNGFormatter\n",
+ " application/javascript : JavascriptFormatter\n",
+ " text/markdown : MarkdownFormatter\n",
+ " text/latex : LatexFormatter\n",
+ " application/json : JSONFormatter\n",
+ " application/pdf : PDFFormatter\n"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The `formatters` attribute is a dictionary keyed by MIME types. To define a custom LaTeX display function, you want a handle on the `text/latex` formatter:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ip = get_ipython()\n",
+ "latex_f = ip.display_formatter.formatters['text/latex']"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The formatter object has a couple of methods for registering custom display functions for existing types."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "help(latex_f.for_type)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Help on method for_type in module IPython.core.formatters:\n",
+ "\n",
+ "for_type(self, typ, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
+ " Add a format function for a given type.\n",
+ " \n",
+ " Parameters\n",
+ " -----------\n",
+ " typ : type or '__module__.__name__' string for a type\n",
+ " The class of the object that will be formatted using `func`.\n",
+ " func : callable\n",
+ " A callable for computing the format data.\n",
+ " `func` will be called with the object to be formatted,\n",
+ " and will return the raw data in this formatter's format.\n",
+ " Subclasses may use a different call signature for the\n",
+ " `func` argument.\n",
+ " \n",
+ " If `func` is None or not specified, there will be no change,\n",
+ " only returning the current value.\n",
+ " \n",
+ " Returns\n",
+ " -------\n",
+ " oldfunc : callable\n",
+ " The currently registered callable.\n",
+ " If you are registering a new formatter,\n",
+ " this will be the previous value (to enable restoring later).\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "help(latex_f.for_type_by_name)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Help on method for_type_by_name in module IPython.core.formatters:\n",
+ "\n",
+ "for_type_by_name(self, type_module, type_name, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
+ " Add a format function for a type specified by the full dotted\n",
+ " module and name of the type, rather than the type of the object.\n",
+ " \n",
+ " Parameters\n",
+ " ----------\n",
+ " type_module : str\n",
+ " The full dotted name of the module the type is defined in, like\n",
+ " ``numpy``.\n",
+ " type_name : str\n",
+ " The name of the type (the class name), like ``dtype``\n",
+ " func : callable\n",
+ " A callable for computing the format data.\n",
+ " `func` will be called with the object to be formatted,\n",
+ " and will return the raw data in this formatter's format.\n",
+ " Subclasses may use a different call signature for the\n",
+ " `func` argument.\n",
+ " \n",
+ " If `func` is None or unspecified, there will be no change,\n",
+ " only returning the current value.\n",
+ " \n",
+ " Returns\n",
+ " -------\n",
+ " oldfunc : callable\n",
+ " The currently registered callable.\n",
+ " If you are registering a new formatter,\n",
+ " this will be the previous value (to enable restoring later).\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In this case, we will use `for_type_by_name` to register `poly_to_latex` as the display function for the `Polynomial` type:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "latex_f.for_type_by_name('numpy.polynomial.polynomial',\n",
+ " 'Polynomial', poly_to_latex)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Once the custom display function has been registered, all NumPy `Polynomial` instances will be represented by their LaTeX form instead:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "p"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 19,
+ "text": [
+ "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])\n",
+ "p2"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$P(x)=-20+71 x+-15 x^2+x^3$, $x \\in [-1,\\ 1]$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 20,
+ "text": [
+ "Polynomial([-20., 71., -15., 1.], [-1., 1.], [-1., 1.])"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "More complex display with `_ipython_display_`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Rich output special methods and functions can only display one object or MIME type at a time. Sometimes this is not enough if you want to display multiple objects or MIME types at once. An example of this would be to use an HTML representation to put some HTML elements in the DOM and then use a JavaScript representation to add events to those elements.\n",
+ "\n",
+ "**IPython 2.0** recognizes another display method, `_ipython_display_`, which allows your objects to take complete control of displaying themselves. If this method is defined, IPython will call it, and make no effort to display the object using the above described `_repr_*_` methods for custom display functions. It's a way for you to say \"Back off, IPython, I can display this myself.\" Most importantly, your `_ipython_display_` method can make multiple calls to the top-level `display` functions to accomplish its goals.\n",
+ "\n",
+ "Here is an object that uses `display_html` and `display_javascript` to make a plot using the [Flot](http://www.flotcharts.org/) JavaScript plotting library:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import json\n",
+ "import uuid\n",
+ "from IPython.display import display_javascript, display_html, display\n",
+ "\n",
+ "class FlotPlot(object):\n",
+ " def __init__(self, x, y):\n",
+ " self.x = x\n",
+ " self.y = y\n",
+ " self.uuid = str(uuid.uuid4())\n",
+ " \n",
+ " def _ipython_display_(self):\n",
+ " json_data = json.dumps(zip(self.x, self.y))\n",
+ " display_html('<div id=\"{}\" style=\"height: 300px; width:80%;\"></div>'.format(self.uuid),\n",
+ " raw=True\n",
+ " )\n",
+ " display_javascript(\"\"\"\n",
+ " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
+ " var line = JSON.parse(\"%s\");\n",
+ " console.log(line);\n",
+ " $.plot(\"#%s\", [line]);\n",
+ " });\n",
+ " \"\"\" % (json_data, self.uuid), raw=True)\n"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import numpy as np\n",
+ "x = np.linspace(0,10)\n",
+ "y = np.sin(x)\n",
+ "FlotPlot(x, np.sin(x))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div id=\"e75b8189-92cb-4cbb-9996-bb8ad5ff1b4e\" style=\"height: 300px; width:80%;\"></div>"
+ ],
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "\n",
+ " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
+ " var line = JSON.parse(\"[[0.0, 0.0], [0.20408163265306123, 0.20266793654820095], [0.40816326530612246, 0.39692414892492234], [0.61224489795918369, 0.57470604121617908], [0.81632653061224492, 0.72863478346935029], [1.0204081632653061, 0.85232156971961837], [1.2244897959183674, 0.94063278511248671], [1.4285714285714286, 0.98990307637212394], [1.6326530612244898, 0.99808748213471832], [1.8367346938775511, 0.96484630898376322], [2.0408163265306123, 0.89155923041100371], [2.2448979591836737, 0.7812680235262639], [2.4489795918367347, 0.63855032022660208], [2.6530612244897958, 0.46932961277720098], [2.8571428571428572, 0.28062939951435684], [3.0612244897959187, 0.080281674842813497], [3.2653061224489797, -0.12339813736217871], [3.4693877551020407, -0.32195631507261868], [3.6734693877551021, -0.50715170948451438], [3.8775510204081636, -0.67129779355193209], [4.0816326530612246, -0.80758169096833643], [4.2857142857142856, -0.91034694431078278], [4.4897959183673475, -0.97532828606704558], [4.6938775510204085, -0.99982866838408957], [4.8979591836734695, -0.98283120392563061], [5.1020408163265305, -0.92504137173820289], [5.3061224489795915, -0.82885773637304272], [5.5102040816326534, -0.69827239556539955], [5.7142857142857144, -0.53870528838615628], [5.9183673469387754, -0.35677924089893803], [6.1224489795918373, -0.16004508604325057], [6.3265306122448983, 0.043331733368683463], [6.5306122448979593, 0.24491007101197931], [6.7346938775510203, 0.43632342647181932], [6.9387755102040813, 0.6096271964908323], [7.1428571428571432, 0.75762841539272019], [7.3469387755102042, 0.87418429881973347], [7.5510204081632653, 0.95445719973875187], [7.7551020408163271, 0.99511539477766364], [7.9591836734693882, 0.99447136726361685], [8.1632653061224492, 0.95255184753146038], [8.3673469387755102, 0.87109670348232071], [8.5714285714285712, 0.75348672743963763], [8.7755102040816322, 0.60460331650615429], [8.979591836734695, 0.43062587038273736], [9.183673469387756, 0.23877531564403087], [9.387755102040817, 0.037014401485062368], [9.591836734693878, -0.16628279384875641], [9.795918367346939, -0.36267842882654883], [10.0, -0.54402111088936989]]\");\n",
+ " console.log(line);\n",
+ " $.plot(\"#e75b8189-92cb-4cbb-9996-bb8ad5ff1b4e\", [line]);\n",
+ " });\n",
+ " "
+ ],
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "prompt_number": 22
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/IPython Kernel/Index.ipynb b/examples/IPython Kernel/Index.ipynb
index 7ae884a..5627e30 100644
--- a/examples/IPython Kernel/Index.ipynb
+++ b/examples/IPython Kernel/Index.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:b0cbc510e3a2cd2333bc169f96a4e2e29d892cef880222c00f53b067f2d4f257"
+ "signature": "sha256:ee769d05a7e195e4b8546ef9a866ef03e59bff2f0fcba499d168c06b516aa79a"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -50,7 +50,11 @@
"metadata": {},
"source": [
"* [Cell Magics](Cell Magics.ipynb)\n",
- "* [Script Magics](Script Magics.ipynb)"
+ "* [Script Magics](Script Magics.ipynb)\n",
+ "* [Rich Output](Rich Output.ipynb)\n",
+ "* [Custom Display Logic](Custom Display Logic.ipynb)\n",
+ "* [Plotting in the Notebook](Plotting in the Notebook.ipynb)\n",
+ "* [Capturing Output](Capturing Output.ipynb)"
]
},
{
@@ -65,7 +69,10 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "* [Background Jobs](Background Jobs.ipynb)"
+ "* [Background Jobs](Background Jobs.ipynb)\n",
+ "* [Trapezoid Rule](Trapezoid Rule.ipynb)\n",
+ "* [SymPy](SymPy.ipynb)\n",
+ "* [Raw Input in the Notebook](Raw Input in the Notebook.ipynb)"
]
},
{
diff --git a/examples/IPython Kernel/Old Custom Display Logic.ipynb b/examples/IPython Kernel/Old Custom Display Logic.ipynb
new file mode 100644
index 0000000..051f1e4
--- /dev/null
+++ b/examples/IPython Kernel/Old Custom Display Logic.ipynb
@@ -0,0 +1,944 @@
+{
+ "metadata": {
+ "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Defining Custom Display Logic for Your Own Objects"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Overview"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n",
+ "\n",
+ "* HTML\n",
+ "* JSON\n",
+ "* PNG\n",
+ "* JPEG\n",
+ "* SVG\n",
+ "* LaTeX\n",
+ "\n",
+ "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
+ "\n",
+ "1. Implementing special display methods such as `_repr_html_`.\n",
+ "2. Registering a display function for a particular type.\n",
+ "\n",
+ "In this Notebook we show how both approaches work."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Before we get started, we will import the various display functions for displaying the different formats we will create."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display\n",
+ "from IPython.display import (\n",
+ " display_html, display_jpeg, display_png,\n",
+ " display_javascript, display_svg, display_latex\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Implementing special display methods"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The main idea of the first approach is that you have to implement special display methods, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
+ "\n",
+ "* `_repr_html_`: return raw HTML as a string\n",
+ "* `_repr_json_`: return raw JSON as a string\n",
+ "* `_repr_jpeg_`: return raw JPEG data\n",
+ "* `_repr_png_`: return raw PNG data\n",
+ "* `_repr_svg_`: return raw SVG data as a string\n",
+ "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Model Citizen: pandas"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "A prominent example of a package that has IPython-aware rich representations of its objects is [pandas](http://pandas.pydata.org/).\n",
+ "\n",
+ "A pandas DataFrame has a rich HTML table representation,\n",
+ "using `_repr_html_`.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import io\n",
+ "import pandas"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%writefile data.csv\n",
+ "Date,Open,High,Low,Close,Volume,Adj Close\n",
+ "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
+ "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
+ "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
+ "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
+ "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
+ "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53\n"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Writing data.csv\n"
+ ]
+ }
+ ],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "df = pandas.read_csv(\"data.csv\")\n",
+ "pandas.set_option('display.notebook_repr_html', False)\n",
+ "df"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 4,
+ "text": [
+ " Date Open High Low Close Volume Adj Close\n",
+ "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
+ "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
+ "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
+ "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
+ "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
+ "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53"
+ ]
+ }
+ ],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "rich HTML can be activated via `pandas.set_option`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pandas.set_option('display.notebook_repr_html', True)\n",
+ "df"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>Date</th>\n",
+ " <th>Open</th>\n",
+ " <th>High</th>\n",
+ " <th>Low</th>\n",
+ " <th>Close</th>\n",
+ " <th>Volume</th>\n",
+ " <th>Adj Close</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td> 2012-06-01</td>\n",
+ " <td> 569.16</td>\n",
+ " <td> 590.00</td>\n",
+ " <td> 548.50</td>\n",
+ " <td> 584.00</td>\n",
+ " <td> 14077000</td>\n",
+ " <td> 581.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td> 2012-05-01</td>\n",
+ " <td> 584.90</td>\n",
+ " <td> 596.76</td>\n",
+ " <td> 522.18</td>\n",
+ " <td> 577.73</td>\n",
+ " <td> 18827900</td>\n",
+ " <td> 575.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td> 2012-04-02</td>\n",
+ " <td> 601.83</td>\n",
+ " <td> 644.00</td>\n",
+ " <td> 555.00</td>\n",
+ " <td> 583.98</td>\n",
+ " <td> 28759100</td>\n",
+ " <td> 581.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td> 2012-03-01</td>\n",
+ " <td> 548.17</td>\n",
+ " <td> 621.45</td>\n",
+ " <td> 516.22</td>\n",
+ " <td> 599.55</td>\n",
+ " <td> 26486000</td>\n",
+ " <td> 596.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td> 2012-02-01</td>\n",
+ " <td> 458.41</td>\n",
+ " <td> 547.61</td>\n",
+ " <td> 453.98</td>\n",
+ " <td> 542.44</td>\n",
+ " <td> 22001000</td>\n",
+ " <td> 540.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td> 2012-01-03</td>\n",
+ " <td> 409.40</td>\n",
+ " <td> 458.24</td>\n",
+ " <td> 409.00</td>\n",
+ " <td> 456.48</td>\n",
+ " <td> 12949100</td>\n",
+ " <td> 454.53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 5,
+ "text": [
+ " Date Open High Low Close Volume Adj Close\n",
+ "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
+ "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
+ "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
+ "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
+ "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
+ "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "lines = df._repr_html_().splitlines()\n",
+ "print \"\\n\".join(lines[:20])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>Date</th>\n",
+ " <th>Open</th>\n",
+ " <th>High</th>\n",
+ " <th>Low</th>\n",
+ " <th>Close</th>\n",
+ " <th>Volume</th>\n",
+ " <th>Adj Close</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td> 2012-06-01</td>\n",
+ " <td> 569.16</td>\n",
+ " <td> 590.00</td>\n"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Exercise"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Write a simple `Circle` Python class. Don't even worry about properties such as radius, position, colors, etc. To help you out use the following representations (remember to wrap them in Python strings):\n",
+ "\n",
+ "For HTML:\n",
+ "\n",
+ " ○\n",
+ "\n",
+ "For SVG:\n",
+ "\n",
+ " <svg width=\"100px\" height=\"100px\">\n",
+ " <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"white\"/>\n",
+ " </svg>\n",
+ "\n",
+ "For LaTeX (wrap with `$` and use a raw Python string):\n",
+ "\n",
+ " \\bigcirc\n",
+ "\n",
+ "After you write the class, create an instance and then use `display_html`, `display_svg` and `display_latex` to display those representations.\n",
+ "\n",
+ "Tips : you can slightly tweek the representation to know from which `_repr_*_` method it came from. \n",
+ "For example in my solution the svg representation is blue, and the HTML one show \"`HTML`\" between brackets."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Solution"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here is my simple `MyCircle` class:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%load soln/mycircle.py"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now create an instance and use the display methods:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c = MyCircle()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_html(c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "○ (<b>html</b>)"
+ ],
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_svg(c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "svg": [
+ "<svg width=\"100px\" height=\"100px\">\n",
+ " <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"blue\"/>\n",
+ " </svg>"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_latex(c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$\\bigcirc \\LaTeX$"
+ ],
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_javascript(c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "javascript": [
+ "alert('I am a circle!');"
+ ],
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Adding IPython display support to existing objects"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When you are directly writing your own classes, you can adapt them for display in IPython by following the above example. But in practice, we often need to work with existing code we can't modify. We now illustrate how to add these kinds of extended display capabilities to existing objects. To continue with our example above, we will add a PNG representation to our `Circle` class using Matplotlib."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Model citizen: sympy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[SymPy](http://sympy.org) is another model citizen that defines rich representations of its object.\n",
+ "Unlike pandas above, sympy registers display formatters via IPython's display formatter API, rather than declaring `_repr_mime_` methods."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from sympy import Rational, pi, exp, I, symbols\n",
+ "x, y, z = symbols(\"x y z\")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "r = Rational(3,2)*pi + exp(I*x) / (x**2 + y)\n",
+ "r"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 17,
+ "text": [
+ "3*pi/2 + exp(I*x)/(x**2 + y)"
+ ]
+ }
+ ],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "SymPy provides an `init_printing` function that sets up advanced $\\LaTeX$\n",
+ "representations of its objects."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from sympy.interactive.printing import init_printing\n",
+ "init_printing()\n",
+ "r"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$$\\frac{3}{2} \\pi + \\frac{e^{\\mathbf{\\imath} x}}{x^{2} + y}$$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "png": "iVBORw0KGgoAAAANSUhEUgAAAFAAAAAlCAYAAADV/m7fAAAABHNCSVQICAgIfAhkiAAAA9xJREFU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\nifjCwUhTPWrTpk2bFuJflVvSLV1580UAAAAASUVORK5CYII=\n",
+ "prompt_number": 18,
+ "text": [
+ " \u2148\u22c5x \n",
+ "3\u22c5\u03c0 \u212f \n",
+ "\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500\u2500\n",
+ " 2 2 \n",
+ " x + y"
+ ]
+ }
+ ],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To add a display method to an existing class, we must use IPython's display formatter API. Here we show all of the available formatters:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ip = get_ipython()\n",
+ "for mime, formatter in ip.display_formatter.formatters.items():\n",
+ " print '%24s : %s' % (mime, formatter.__class__.__name__)\n"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ " text/html : HTMLFormatter\n",
+ " image/jpeg : JPEGFormatter\n",
+ " image/svg+xml : SVGFormatter\n",
+ " image/png : PNGFormatter\n",
+ " application/javascript : JavascriptFormatter\n",
+ " text/latex : LatexFormatter\n",
+ " application/json : JSONFormatter\n",
+ " text/plain : PlainTextFormatter\n"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's grab the PNG formatter:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "png_f = ip.display_formatter.formatters['image/png']"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We will use the `for_type` method to register our display function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "png_f.for_type?"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As the docstring describes, we need to define a function the takes the object as a parameter and returns the raw PNG data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%matplotlib inline\n",
+ "import matplotlib.pyplot as plt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 22
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "class AnotherCircle(object):\n",
+ " def __init__(self, radius=1, center=(0,0), color='r'):\n",
+ " self.radius = radius\n",
+ " self.center = center\n",
+ " self.color = color\n",
+ " \n",
+ " def __repr__(self):\n",
+ " return \"<%s Circle with r=%s at %s>\" % (\n",
+ " self.color,\n",
+ " self.radius,\n",
+ " self.center,\n",
+ " )\n",
+ " \n",
+ "c = AnotherCircle()\n",
+ "c"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 23,
+ "text": [
+ "<r Circle with r=1 at (0, 0)>"
+ ]
+ }
+ ],
+ "prompt_number": 23
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.core.pylabtools import print_figure\n",
+ "\n",
+ "def png_circle(circle):\n",
+ " \"\"\"Render AnotherCircle to png data using matplotlib\"\"\"\n",
+ " fig, ax = plt.subplots()\n",
+ " patch = plt.Circle(circle.center,\n",
+ " radius=circle.radius,\n",
+ " fc=circle.color,\n",
+ " )\n",
+ " ax.add_patch(patch)\n",
+ " plt.axis('scaled')\n",
+ " data = print_figure(fig, 'png')\n",
+ " # We MUST close the figure, otherwise IPython's display machinery\n",
+ " # will pick it up and send it as output, resulting in a double display\n",
+ " plt.close(fig)\n",
+ " return data"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 24
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c = AnotherCircle()\n",
+ "print repr(png_circle(c)[:10])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00'\n"
+ ]
+ }
+ ],
+ "prompt_number": 27
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now we register the display function for the type:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "png_f.for_type(AnotherCircle, png_circle)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 28
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now all `Circle` instances have PNG representations!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c2 = AnotherCircle(radius=2, center=(1,0), color='g')\n",
+ "c2"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "png": 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KfPzvhv8VHYOI3Mzi/MX4Z8k/0dbeJjqKw7A4bHCy9iSe3PCkx99iR0TO8ey3z2Jvpedc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\nwe9Tf8/bbe3A4pCwlLAUrL5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+ "prompt_number": 29,
+ "text": [
+ "<g Circle with r=2 at (1, 0)>"
+ ]
+ }
+ ],
+ "prompt_number": 29
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display_png(c2)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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KfPzvhv8VHYOI3Mzi/MX4Z8k/0dbeJjqKw7A4bHCy9iSe3PCkx99iR0TO8ey3z2Jvpedc\nLGdxXEVdcx0yczNRZOYb/IioZ1raW/DkxidxvOa46CgOweK4im9PfIul+5aKjkFEbu54zXG8/fPb\nqDnn/tc7WBxd2F+1H9M3Txcdg4g8xPLC5dh0fJPbPxzI4riC0rpSzNg8A42tjaKjEJEH+cOWPyC/\nKl90DLuwODrR0NyAJflLsK96n+goRORhzrWdQ/qmdJyqPSU6So+xODrxQ9kPeCf3HdExiMhDHTYe\nxt/z/47GFvc8o8Hi+IViUzHSN6eLjkFEHu69ve8h50yO6Bg9wuK4RH1zPd7d865XzKdPROKlb0p3\ny1t0WRyX+KH0B3xS+InoGETkJcobyrEkf4nbnbJicfzHUdNRTNsyTXQMIvIyi/IWud0pKxYHzj8d\n/s6ed3iKioiEcLdTViwO8BQVEYnlbqesvL44SswlmL6FT4cTkViL8hYhtyJXdAybOKQ4amtrMWPG\nDJw+ffqKy5SWluKll17CzJkzMWfOHJSVlTliaLs0tzbjs8LPeIqKiCTB8K0BZfXifzdejd3FsXbt\nWhgMBlRXV3e53Pz58/HAAw9g4cKFGD9+PDIzM+0d2m4F1QXI2JMhOgYREQCgyFyEjcc2Sn4uK7uL\nY+zYsViyZAl0Ot0Vl6mqqoLFYkFKSgoAQK/Xo7q6Gmaz2d7he+ys5Szm7p6Ldmu7sAxERL8057s5\nOGQ8JDpGl1xyjcNoNEKlUl32WXBwMIxGoyuG79Tu0t3YXbpb2PhERJ1pbG1EVm4WGpobREe5Ipdd\nHJfLOw7V2trqquEvU2IugWGbQcjYRERX89nBzyT9xkCXFIdWq+1wWspsNnd5estZWtpasPLgSl4Q\nJyJJM2wzoLy+XHSMTjm0OC69oGMymS6WRXh4OJRKJfLy8gAAOTk5UKvVCA0NdeTwNimoLsDbOW+7\nfFwiou4oMhVhy/EtomN0ytfeDWzYsAE7duyA2WxGRkYG4uLiMH36dKxYsQIAMG3a+Wk8DAYDFi9e\njGXLlkGtVsNgcP2porrmOmTkZPCCOBG5hTm75uCm6JsQr40XHeUyMqtE7/vaunUr9Hq9Q7f5Q+kP\nuHfNvQ7dJhGRM829aS5mDJ0BucyxVxZyc3ORlpbWo3W95slxU5MJf/nhL6JjEBF1y1s/voXDZw+L\njnEZrymOvRV78UPZD6JjEBF1S1NbE1YeWomWthbRUS7yiuKoaKjAS9+9JDoGEVGPvLf3PRw8e1B0\njIu8ojh+LP9R8k9iEhFdSZu1De/nvw9Li0V0FABeUByn607jhZ0viI5BRGSXzw5+hgNnD4iOAcAL\niuPfZf92i9kmiYiu5t0970piKhKPLo7y+nK8uvtV0TGIiBxi3dF1OGwUf4eVRxfH3oq9KK0vFR2D\niMhhPj7wMc61nhOawWOLo7qxms9tEJHHWV64HEdMR4Rm8Nji2Fe1j3dSEZHHabe2Y82RNWhtFzO7\nOOChxWFuMmPeT/NExyAicorFeYtRZCoSNr5HFkfh2UL8VP6T6BhERE7R3NaMDSUbhL1i1uOKo6G5\nAVm5WaJjEBE51ds5b+Oo+aiQsT2uOIpMRVh/bL3oGERETtXQ0oCcMzlCxva44th8fLPoCERELrHg\npwWoaqxy+bgeVRzHa44jc2+m6BhERC5xtOYoDp11/d2jHlUc+yr3oa65TnQMIiKXWV643OUPBHpM\ncZiaTMjYkyE6BhGRS2UfyUaxudilY3pMcRw2HkZeZZ7oGERELtVmbcOu07tcOqZHFEdreyuyj2SL\njkFEJMT/5fwfTteddtl4HlEcx8zH8PGBj0XHICISorKx0qUXyT2iOArPFqK5rVl0DCIiYVYeWonm\nVtf8HnT74mhsacQH+z8QHYOISKh1xetwrPaYS8Zy++I4aj7q8gtDRERS09Le4rLTVW5fHHkVebBC\nzERfRERSsnTfUtQ31zt9HLcuDqPFiPf2vic6BhGRJOwu3Y1jNc4/XeXWxVFiLsFhk/j37xIRScXe\nir1OH8Oti2NXKa9tEBFd6r2978FoMTp1DLctjoqGCizJXyI6BhGRpBwxHUFJTYlTx3Db4jhZexLl\nDeWiYxARSc6B6gNO3b7bFse+qn2iIxARSdLHBR+j7pzzZgp3y+KoPVfLKUaIiK5gb+VenKo75bTt\nu2VxnKw9if1V+0XHICKSrCJTkdO27ZbF4cwdQkTkCdYcWeO0uavcrjia25rxxeEvRMcgIpK0zcc3\nO+10la8jNlJaWopFixahrq4OarUa6enpiIqK6rBcVlYW8vPzoVQqL35mMBgQExNj81inak/h25Pf\nOiI2EZHHOtd2DidqTyBeG+/wbTukOObPn48pU6YgJSUFubm5yMzMxBtvvNFhOZlMhokTJ2LUqFE9\nHut47XFOoU5EZIOdp3fijn53OHy7dp+qqqqqgsViQUpKCgBAr9ejuroaZrO50+WtVvsmJHTF4/RE\nRJ7g66KvcdZy1uHbtfuIw2g0QqVSXfZZcHAwjEYjNBpNh+Wzs7Oxfv16aLVaTJo0CcnJyTaPVXOu\nBl8e+dLeyEREXuFE7QmU15cjpFeIQ7frkFNVcnnHA5fW1tYOn02dOhUKhQIAUFBQgAULFiArKwuB\ngYE2jVNeX46DxoP2hSUi8iKn604jOcz2v6Dbwu5TVVqttsNpKbPZDJ1O12HZC6UBAMnJydBoNKis\nrLR5LFe+jJ2IyBN8X/q9w7dpd3GEh4dDqVQiLy8PAJCTkwO1Wo3Q0FCYTKbLSiU3Nxft7e0AgMLC\nQlgslk7vvrqS3Ipce+MSEXmVr4u/xtlGx17ncMipKoPBgMWLF2PZsmVQq9UwGAwAgBUrVgAApk2b\nBgDYvn07li5dCoVCAZVKBYPBcNlRSFdqmmrwZRGvbxARdcepulMoayhDSKDjrnPIrPbe5uQkW7du\nhV6vv/j1wbMHcfOnNwtMRETknj4d/Snujrv7ss9yc3ORlpbWo+25zZPjpXWloiMQEbmlH0p/cOj2\n3KY4SszOfTEJEZGn2npiK+qaHTfNulsUR2tbKzaf2Cw6BhGRWzpiOoKqxiqHbc8tiqOysRI5Z3JE\nxyAicktt1jZUNFY4bHtuURxVlirUnKsRHYOIyG1VNtj+zNzVuEVxVDY67g9MROSNfj7zs8O25RbF\nccx8THQEIiK3tu3kNoddIJd8cbS2tWLLiS2iYxARubUjRsddIJd8cVRZqnhhnIjITm3WNoed9pd8\ncZiaTDCf6/zdHkREZDtHvZtD8sVhbDKKjkBE5BFK6x0zA4fki8PUZBIdgYjII+SUO+a0v+SLg+/g\nICJyjP3V+x3yTJzki4MXxomIHONYzTHUNHl4cZibzNhftV90DCIij9Dc1gzTOftP/0u6OGrO1eBE\n7QnRMYiIPIYjrhtLujjM58xoaW8RHYOIyGN4fHFwYkMiIsc6WXfS7m1Iujgc+eIRIiICjpqO2r0N\nSRdHfUu96AhERB7lqPkoWtta7dqGpIujrK5MdAQiIo9S3lCO2uZau7Yh6eI4arb/kIqIiP6roqEC\nja2Ndm1D0sVRbCoWHYGIyKNYWi1obPHg4jjTeEZ0BCIij2Pv9WNJF0dFg+Nerk5EROc1NDfYtb6k\ni+Nc2znREYiIPE5DiwcXBxEROZ69fylncRAReZnmtma71mdxEBF5maa2JrvWZ3EQEXkZc5PZrvVZ\nHEREXsbYZLRrfRYHEZGXsXdqdRYHEZGXOWs5a9f6LA4iIi9ztsm+4vB1RIjS0lIsWrQIdXV1UKvV\nSE9PR1RUVI+XIyIi5znXKoHnOObPn48HHngACxcuxPjx45GZmWnXckRE5Dzt1na71re7OKqqqmCx\nWJCSkgIA0Ov1qK6uhtls7tFyRETkXG3WNrvWt7s4jEYjVCrVZZ8FBwfDaDT2aDkiInIu4UccACCX\nd9xMa2vHVxPauhwRETmPFVa71re7OLRabYfTTWazGTqdrkfLERGRc8ll9v3qt7s4wsPDoVQqkZeX\nBwDIycmBWq1GaGgoTCbTxbLoajkiInIde4vDIbfjGgwGLF68GMuWLYNarYbBYAAArFixAgAwbdq0\nLpcjIiLXkdt5zCCzWq32nexykq1bt2LkrpGiYxAReRx9hB7zEuYhLS2tR+vzyXEiIi+j9FPatT6L\ng4jIy4QEhNi1PouDiMjLhPRicRARUTfoAux7DILFQUTkZYIDgu1an8VBRORlgv1ZHERE1A0BPgF2\nrc/iICLyMn4+fnatz+IgIvIyHn3EoVKorr4QERF1S5AiyK71JV0cEYERoiMQEXkcj35yPCqI7yMn\nInI0jz7iSNQmio5ARORR1Ao1evn2smsbki6OOE2c6AhERB6ld1Bvzz5VFRYYJjoCEZFHiQqKglqh\ntmsbki4Oe8/DERHR5RK0CZDJZHZtQ9rF4cfiICJypHhNvN3bkHRxaAO0oiMQEXmUSGWk3duQdHEE\n+wfbfRGHiIj+y94p1QGJF4c2QMs7q4iIHMgRZ3IkXRyBfoHQh+tFxyAi8ggqhcruKdUBiRcHAKRG\npIqOQETkEeI18Z5/xAEA4YHhoiMQEXkEfYQegX6Bdm9H8sXhiAs5REQEpIY75gwOi4OIyEs4ajYO\nyReHNkCL6KBo0TGIiNye1xRHaGAoboq+SXQMIiK3FugbiLBeXlIcAHBrn1tFRyAicmspYSnec8QB\ngKeqiIjsNLL/SAT42veu8QvcojgilHyFLBGRPQaFDHLYttyiOEJ7hfKog4jIDo78C7h7FAcvkBMR\n9ZgjL4wDblIcAC+QExH1lCMvjANuVBx9VH1ERyAickuj4kY57MI4APjas3JpaSkWLVqEuro6qNVq\npKenIyoqqtNls7KykJ+fD6Xyv+/XMBgMiImJsWmsaFU0/OR+aGlvsScyEZHXGRI6xKHbs6s45s+f\njylTpiAlJQW5ubnIzMzEG2+80emyMpkMEydOxKhRo3o0VlRQFIZHDsf3Zd/bE5mIyKvIZXLEqGz7\nC7rN2+zpilVVVbBYLEhJSQEA6PV6VFdXw2w2X3Edq9Xa0+EQ4BuAcYnjerw+EZE3Sg5NRlRQ52eC\neqrHRxxGoxEqleqyz4KDg2E0GqHRaDpdJzs7G+vXr4dWq8WkSZOQnJzcrTEH6gb2NC4RkVeamDgR\nQYogh26zy+LIyMhASUlJh89DQkLw0EMPQS7veMDS2tra6bamTp0KhUIBACgoKMCCBQuQlZWFwEDb\n54aPCoqCwkeB5rZmm9chIvJmyWHd+wu6LbosjmeeeeaK36usrOxwWspsNkOn63wa9AulAQDJycnQ\naDSorKxE//79bQ4bFRSF6yOvx67SXTavQ0TkreQyOWKCHHt9A7DjGkd4eDiUSiXy8vIAADk5OVCr\n1QgNDQUAmEymy4olNzcX7e3tAIDCwkJYLJYr3oF1JQG+ARifOL6nkYmIvMq1Ydc6/PoGYOddVQaD\nAYsXL8ayZcugVqthMBgufm/FihUAgGnTpgEAtm/fjqVLl0KhUEClUsFgMFx2FGKrRF2iPZGJiLzG\nxKSJUCqUV1+wm+wqjujoaPz5z3/u9HsXCuOCZ5991p6hLuqn7odg/2DUnKtxyPaIiDyVo14V+0tu\n8+T4BdFB0ZiYOFF0DCIiSdMF6NBP3c8p23a74pDJZBgV27OHCImIvMX9SfcjWuWcWcXdrjgAIDY4\nFn5yP9ExiIgka2T/kU7btlsWRx91H9ze93bRMYiIJEnho0D/4P5O275bFoe/jz/uT7pfdAwiIkka\n2W8k+gQ5b0ZxtywOgLflEhFdyf1J90Ph2/3HHWzltsXRV90XKWEpomMQEUmKDDIkaBOcOobbFkew\nfzCevPZJ0TGIiCTltr63OfX6BuDGxQGcf7hFBpnoGEREkjEleQoC/WyfPLYn3Lo4+gf3xx197xAd\ng4hIEvx9/JEUkuT0cdy6OAL9AvF48uOiYxARScL4hPGIVcc6fRy3Lg4AGBgyEP4+/qJjEBEJNylp\nEnx97JqC0CZuXxz9g/tjUuIk0TGIiIQK9g/GAO0Al4zl9sXhK/fFhKQJomMQEQk1JXkK+qr7umQs\nty8OAEjQJCCkV4joGEREwtwVe5fLxvKI4ohRx2DW0FmiYxARCTEkdAgSta6bTcMjigMARvQZAbnM\nY/44RESFVaFVAAAXf0lEQVQ2mzVsFnS9dC4bz2N+0w7QDsDYAWNFxyAicimVQoWUcNdOv+QxxRHg\nG8BnOojI60xLnYbYYOc/u3EpjykOABikG4T+6v6iYxARucxdsXdBJnPt1EseVRzhynA8d/1zomMQ\nEbnEHX3vEPKKCY8qDgAYFjmMT5ITkVf4fervofRTunxcjyuOeE08fn/t70XHICJyquigaCSHJgsZ\n2+OKw0fugwlJE3hrLhF5tJdvfhm9g3oLGdsjf7smaZPw8DUPi45BROQUIb1CcEPvG4SN75HF4e/r\nj8cGPyY6BhGRU7x444sum5eqMx5ZHAAwUDcQo+NGi45BRORQKoUKv475tdAMHlscSoUS6fp00TGI\niBzqueHPIV4TLzSDxxYHAFwTcg1ujrpZdAwiIofw9/HHnbF3io7h2cUR7B+M527gA4FE5BmmXzcd\nCZoE0TE8uzgAICUsBTdH86iDiNxbgE8AJiVNgo/cR3QUzy8ObYAWL9z4gugYRER2mf2r2UjSJYmO\nAcALigM4/5KTMQPGiI5BRNQjaoUa98bf6/LJDK/EK4ojSBGEmUNnQgZp7HQiou547ZbXEKeJEx3j\nIruLo7a2FjNmzMDp06e7XK60tBQvvfQSZs6ciTlz5qCsrMzeobvlmpBr8Lshv3PpmERE9opURuL2\nvreLjnEZu4pj7dq1MBgMqK6uvuqy8+fPxwMPPICFCxdi/PjxyMzMtGfobgvwDcDjQx6Hn9zPpeMS\nEdnjjV+/gT7qPqJjXMau4hg7diyWLFkCna7rd91WVVXBYrEgJeX86w31ej2qq6thNpvtGb7bBuoG\nYtawWS4dk4iopwZoBuBX0b8SHaMDl1zjMBqNUKlUl30WHBwMo9HoiuEv8pX7YlLSJAT7B7t0XCKi\nnnjr1rcQqYwUHaMD366+mZGRgZKSkg6fh4SEYO7cud0aSC7v2FGtra3d2oYjDNAOwFu3voWnNj3l\n8rGJiGw1dsBYDI0cKjpGp7osjmeeecYhg2i12g6npcxm81VPcTnLbX1vw3Xh12Fv5V4h4xMRdUXh\no8Bzw5+D2l8tOkqnHHaqymq1Xva1yWS6WBbh4eFQKpXIy8sDAOTk5ECtViM0NNRRw3dLeGA43rz1\nTSFjExFdzcs3vYxrQq8RHeOK7CqODRs2YPbs2TCbzcjIyEBWVtbF761YsQKfffbZxa8NBgPWrFmD\nmTNn4uuvv4bBYLBnaLulhKXwFbNEJDl9VH0wJn6MpN9iKrP+8lBBIrZu3Qq9Xu/UMYpMRRi5aiTq\nmuucOg4Rka2+uO8LpPVLc/o4ubm5SEvr2TjSrTQXSNAm4K1b3xIdg4gIADA6fjSGRw4XHeOqvLo4\nAOCOvndgWMQw0TGIyMsF+ATgj9f/UbIXxC/l9cURrgzH327/G58oJyKh/nbb3zA4dLDoGDbx+uIA\ngOTQZPzl138RHYOIvNSImBEYFTtKMrPfXg2LA4CP3Of8wzYR0nzYhog8V4BPAP7y678gNFDM4wk9\nweL4jwhlBObfPp+nrIjIpdzpFNUFLI5LJIcm4/Vfvy46BhF5iVv73OpWp6guYHFcwkfugzEDxvAu\nKyJyugCfAPz5lj+71SmqC1gcvxChjMDfbv8bAnwCREchIg/29h1vu90pqgtYHJ1ICUvBOyPfER2D\niDzUA0kPuOUpqgtYHJ2QyWS4q/9deGzwY6KjEJGHiQ6KxvM3PA9tgFZ0lB5jcVyB2l+NWcNmITY4\nVnQUIvIQPjIf/OPufyBW496/V1gcXegX3A/vj3qft+gSkUO8detb0Ec4d/JWV2BxXEVqeCrevv1t\n0TGIyM2NjhuN+xLug6+8y/fnuQUWx1X4yH1wT9w9mJgwUXQUInJT4YHhePnmlxHSK0R0FIdgcdhA\n20uLF258AXHBcaKjEJGb8ZX74sO7P8QA7QDRURyGxWGjWE0sPrjnAwT5BYmOQkRuJGtkFob3lv47\nNrqDxdENKWEpWHbPMsjgnvdeE5FrzRo2C3fH3Q0fuY/oKA7F4uimX0f/mm8NJKKrSuuXhievfRJB\nCs87S8Hi6CaFrwITkybi8cGPi45CRBLVT90P826dhwhlhOgoTsHi6AFtgBbPXf8cJ0Mkog6Ufkp8\ndM9Hbv+QX1dYHD0UrYpG5p2ZCOsVJjoKEUmEDDIsu3sZUsJTREdxKhaHHRJ1iVg5diVUCpXoKEQk\nAZl3ZmJEzAjRMZyOxWGn6yKuw2ejP4PCRyE6ChEJ9MrNr2Bs/FgofD3/dwGLwwFujL4RH979IW/T\nJfJS01Kn4bHBj0GpUIqO4hIsDgeQy+RI65eGrDuzREchIhe7P+l+zBw2E5oAjegoLsPicBA/Hz+M\niR+D1255TXQUInKRETEj8PJNLyMs0LtukmFxOJBSocQjgx/B09c9LToKETnZ4JDByEjLQLQqWnQU\nl2NxOJjGX4MZ+hl8QJDIgw3QDMCye5ahf3B/0VGEYHE4QZgyDH/61Z/w8DUPi45CRA4WGxyLT0d/\n6lGz3XYXi8NJIpQReOnGlzB54GTRUYjIQfqq+2LFmBVI0CWIjiIUi8OJIpQRmHvTXJYHkQfop+6H\nVWNXIVGXKDqKcCwOJ4sMisQrN7/C01ZEbiwuOA6rxq5Cki5JdBRJYHG4wIXTVrxgTuR+EjQJWDF2\nBY80LmH3W9Nra2vx4osv4vnnn0dMTMwVl8vKykJ+fj6Uyv8+WWkwGLpcx5NEKCPwwq9egEqhQube\nTNFxiMgGqeGpeH/U+159IbwzdhXH2rVrsW7dOtTX1191WZlMhokTJ2LUqFH2DOnWwpRhePb6Z8+/\nuH73y6LjEFEX7ux3J/52+9/QV91XdBTJsetU1dixY7FkyRLodDqblrdarfYM5xE0/hpMGTIF7935\nHue2IpKoh695GBlpGSyNK7D7VFV3ZGdnY/369dBqtZg0aRKSk5NdObxkKBVKTEycCI2/Br9d/1s0\ntzWLjkRE/zFr2Cykp6YjNDBUdBTJ6rI4MjIyUFJS0uHzkJAQzJ07t1sDTZ06FQrF+emGCwoKsGDB\nAmRlZSEwMLBb2/EUfj5+uCv2LmSPy8aDax9EfcvVT/cRkXO9OeJNPDjwQQQHBIuOImldFsczzzzj\nsIEulAYAJCcnQ6PRoLKyEv3793fYGO5GLpPjpuibsHbCWkxeOxlVlirRkYi8klwmx6K7FuHeuHsR\n6Oedf5ntDofdjvvL6xcmkwlms/ni17m5uWhvbwcAFBYWwmKxICoqylHDu7XUiFSsm7gOQyOGio5C\n5HXUCjW+HPclxg0Yx9KwkV3XODZs2IAdO3bAbDYjIyMDcXFxmD59OgBgxYoVAIBp06YBALZv346l\nS5dCoVBApVLBYDBcdhTi7RJ1iVh2zzIs+GkBPjrwkeg4RF4hSZeEpb9ZisGhg0VHcSsyq0Rvddq6\ndSv0er3oGC5najJhzeE1eH7H87BCkv9piDzCuAHjMPfmuegX3E90FCFyc3ORlpbWo3X55LjEaAO0\neGzwY/j8vs8R5BckOg6RR5pz4xzMu22e15aGvVgcEqTwVSCtXxr+OemfiA2OFR2HyGP4+/jjk3s/\nwe9Tf8/bbe3A4pCwlLAUrL5vNSYkTBAdhcjtxQbH4ptJ3+CeuHt4EdxOLA6Ji9XEYt7t8/Bu2rvw\nk/uJjkPklh4f/Diyx2VDH6GHTMYZG+zl0ifHqWd0ATo8OOhBDAwZiCc2PoHjNcdFRyJyCwE+AXh3\n5Lu4s/+dUPurRcfxGDzicBM+ch8MjRyK7HHZeHTwo6LjEEneQN1ArL9/PSYkTmBpOBiLw830D+6P\n1255De+Peh/+Pv6i4xBJ0lPXPoVVY1fh2vBreWrKCXiqyg0F+wdjYuJEJGgT8Ny257CnYo/oSESS\noPHX4L0738MtMbcgSMHb2Z2FRxxuSiaT4drwa/HJvZ/grVvf4oVz8noPDnwQGx/YiN/E/Yal4WQs\nDjcXGRSJ3w35HTbevxH6CO970p5I46/B8tHL8ddb/4oEbYLoOF6BxeEBfOQ+SI1IxfJ7l/Pog7zK\n5IGTsfH+jbgn7h5eAHchFocH4dEHeQuNvwafjv4Ub936FhJ0PMpwNRaHh7lw9PHp6E+RdWcWVAqV\n6EhEDiODDDP0M7DpgU24O+5uHmUIwruqPFSEMgIPDXoIQyOGYtn+Zfh7/t9FRyKyy/DI4Xh9xOtI\nDk1GgG+A6DhejUccHi5Rl4iXb34Z6yetR2pYqug4RN2mDdDiH7/5Bz4d/SmGRQ5jaUgAi8ML9PLt\nhRuibsDKsSux+K7FUCt4eE/SJ5fJMXPoTGx6YBPGJ47nbLYSwlNVXiRcGY4HBj6A68KvwxeHv0DG\nngy0treKjkXUwV3978L/u/7/ITk0Gf6+nCFBanjE4YUSdAn44w1/xLeTv8XvhvwOMnBKBpKG4ZHD\nsXbCWrw/6n0MjRzK0pAoFoeX8pX7IjksGX/59V+w+YHNGBM/RnQk8mIDNAPw+djP8dmYz3BLzC28\nW0riWBxeLsA3APpIPTLvzMQ3E7/BjVE3io5EXiQiMAL/+M0/sHbiWozsPxIhvUJERyIb8BoHAQBU\nChVujL4Ry0cvR35lPub/NB/fl30vOhZ5qN7K3phz0xzcFH0T+qr7io5D3cTioMtoA7S4re9tSA1P\nxcGzB5G1Nwv/KvmX6FjkIQZoBmDOTXOgj9AjWhUtOg71EIuDOqUJ0ODG6BuREpaCg8aD+LjgY3x2\n8DO0W9tFRyM3dF34dZj9q9lICUtBuDJcdByyE4uDuqRUKDEschiGhA7B1JSpWH14NZbsW4JzbedE\nRyM3kNY3DX8Y9gcMDhkMXS+d6DjkICwOsom/rz9SwlNwTeg1eGTwI8g5k4N5P83DydqToqORxAT5\nBeGp1Kfwm7jfIFGbyHdjeCAWB3WLr9wXibpEJOoSkdYvDYeMh7Bs3zKsO7oOVlhFxyOBrgm5Bobh\nBlwbfi1ig2P5ylYPxuKgHotQRiBCGYHre18Pg8mAHSd3IGNPBoxNRtHRyEX85H54aNBDmDxwMpJ0\nSTwd5SVYHGS3Xr69MCRsCIaEDcF9CfehyFSE1YdXI7soG81tzaLjkRPc0PsGPHHtExgcOhjxwfHw\n9eGvEm/C/9rkUH3UfdBH3QcjYkZg1vBZOHz2MD7Y/wF2nNrBU1luLj44HtP00zA0YijiNHG8duHF\nWBzkFL4+vkjQJiBBm4A7+t2BYzXHkF+Zj8V5i1FQXSA6HtkorFcYpl47Fbf2uRXxwfEICeST3cTi\nIBcI9AvE4NDBGBw6GPfE3YOTdSdxxHgEqw6uwo7TOzhDr8QM1A3Eb5N/i2vDr0VfdV/0DuotOhJJ\nDIuDXEoToIEmQIOUsBSMjh+NU7WncKzmGNaXrMeXRV+itrlWdESv4yv3xa0xt2LyoMlI1CWir6ov\nNAEa0bFIwlgcJEyAbwASdAlI0CVgZP+ReHb4szhZexKHjIfw5ZEv8fOZn9HS3iI6pkdK0CZgXMI4\nDIschv7q/uij7sM365HNWBwOcPjwYSQlJYmOYROpZpXL5BcvrN8cczP+Z9D/oLyhHMVVxTjeeBxf\nFX2FnDM5PK3VQ/GaeIxPGI9hkcMQo4qBT6MPkvpK7+egM1L9me2MO2W1h13FsXDhQhQXF8PX1xdq\ntRpPPPEEYmJiOl22tLQUixYtQl1dHdRqNdLT0xEVFWXP8JJx5MgRt/lhcZesvfx6IU4ThwPfHcCT\nY57EI9c8gvKGcpTWleJk7UlsO7kN/y77N8obykVHlRyVQgV9hB4j+41EgjYBMaoYRCojL3vGYt26\ndW5THO7yMwu4V1Z72FUcN998M2bMmAG5XI5t27bh/fffx2uvvdbpsvPnz8eUKVOQkpKC3NxcZGZm\n4o033rBnePIigX6BiNfEI14TDwB4+JqHUdVYhbOWszjTeAaldaXYfmo7/l32b5TVlwlO6zqXlkS8\nNh6RykiE9gpFeGA4FD4K0fHIQ9lVHMOGDbv477GxscjOzu50uaqqKlgsFqSkpAAA9Ho9Fi9eDLPZ\nDI2GF+Go+2QyGcKV4QhXhmMQBgE4XybVlmoYm4wwWUwwnjOioqECuWdykVeVhxJzCSytFsHJu89H\n5oO+6r4YHDIYw3sPR191X+h66aD110IboEVYYBhLglzKYdc4tmzZAr1e3+n3jEYjVCrVZZ8FBwfD\naDSyOMhhZDIZwgLDEBYYdtnnU4ZMQUNzA0znTDA3mWE+Z0Zdcx0aWhpwpv4MSmpKUGQqQnl9Oc40\nnEFja6PLMvvKfRERGIFIZSRiNbFI0Jw/taRSqBCkCEKwfzC0AVqoFWpoA7Sc/4kkocviyMjIQElJ\nSYfPQ0JCMHfu3Itfb9q0CUVFRXj11VevuC25vONbaltbeaGTXEOpUEKpUCJG1fk1uLb2NtQ216Kx\npRGWVgssrRa0tLWgub0ZzW3/+eeSfz/Xdg6t7a1oa29DO9rR3t6OpqYmKAOV8JX7Qi6Tw9/HHwof\nxfl/5Ir//vslXwf6BSLQNxAqfxX8ffxdvFeIekZmtVrtmgdi7dq1+PHHHzF79mwEBXU+BUFlZSXm\nzJmDv//97xc/e+KJJ/Dmm28iNDS003V27tyJlhbeiklE5Ax+fn4YMWJEj9bt8amq9vZ2fPDBBxdL\nISDg8nvATSYTZDIZNBoNwsPDoVQqkZeXh9TUVOTk5ECtVl+xNAD0+A9ERETO1eMjjsrKSsyYMQOR\nkZGXnYZ6+umnER8fj/feew8AMG3aNADnb8ddvHgxamtrPe52XCIib2L3qSoiIvIuHa9YExERdYHF\nQURE3SKpuapqa2vx4osv4vnnn7/i1CWA+OlLujN+VlYW8vPzoVQqL35mMBi6/PO5Kp/o/didDCL2\nY2ds+RmVwn4FbMsqlf1q6/RFUti3tmaVwr5dtGgRDh06BJlMBj8/Pzz++ONITk7usFy396tVIr7+\n+mvr1KlTrQ8++KD11KlTXS77zDPPWPPz861Wq9W6Z88e6+zZs10RsUfjZ2VlWTds2OCqaFar1fZ8\novdjdzKI2I+/ZOvPqBT2q61ZpbBfrVar9eeff7a2tbVZrVar9dtvv7XOmTOn0+WksG9tzSqFfbtv\n376LWffs2WOdNWtWp8t1d79K5lTV2LFjsWTJEuh0Xb/svrPpS6qrq2E2m10Rs0fjW114/4Gt+UTv\nx55kcOV+7IwtP6NS2K+A7f8/AeL3K3B++qILd2fGxsbCZDJ1WEYq+9aWrBeI3rdDhgyBXC6H1WpF\nWVkZYmNjOyzTk/0qqVNVthA9fUlPxs/Ozsb69euh1WoxadKkTg8VXZ1P9H7sSQZX7seeksJ+7S6p\n7dcrTV8kxX3b1VRLgDT27aFDh7BgwQJoNBrMnj27w/d7sl9dVhy2Tl9iC2dPX9JV1oceeqhb40+d\nOhUKxfkJ6AoKCrBgwQJkZWUhMDDQYXl/ydZ8UpgGxtYMIvZjT0lhv9pKavv1atMXSWnfXi2rVPbt\nwIEDsWTJEuTl5eHVV1/FwoULOyzT3f3qsuJ45plnHLIdrVbb4RDKbDbbdEhuq66yVlZWdmv8Cz84\nAJCcnAyNRoPKykr079/fIVl/ydb944r9eDXdyeDq/dhTUtiv3SGl/Xph+qLOZqIApLVvr5YVkNa+\nBYDU1FScPXsW9fX1l00P1ZP9KplrHJf65XlBk8l08Q926fQlAGyavsSRrjb+pVkBIDc3F+3t7QCA\nwsJCWCwWp94F0lU+Ke3H7mQFXL8fr+bSn1Gp7ddfulJWQBr7tb29HUuXLkVBQQHmzJlz2S81qe1b\nW7MC4vdtfX09cnJyLv73//777xEaGoqgoCC796tknhzfsGEDduzYgZMnTyIyMhJxcXGYPn06AEhu\n+pKuxv9l1rfffhvFxcVQKBRQqVR47LHHkJCQICSf1PZjd7KK2I+/dKWfUSnuV1uzSmG/Xmn6ounT\np2PTpk2X5RW9b7uTVfS+ra+vR0ZGBsrKyuDv7w+dTocpU6YgJibG7p9ZyRQHERG5B0meqiIiIuli\ncRARUbewOIiIqFtYHERE1C0sDiIi6hYWBxERdQuLg4iIuoXFQURE3fL/AR8SQcFGS9m7AAAAAElF\nTkSuQmCC\n"
+ }
+ ],
+ "prompt_number": 30
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "return the object"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# for demonstration purpose, I do the same with a circle that has no _repr_javascript method\n",
+ "class MyNoJSCircle(MyCircle):\n",
+ " \n",
+ " def _repr_javascript_(self):\n",
+ " return\n",
+ "\n",
+ "cNoJS = MyNoJSCircle()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Of course you can now still return the object, and this will use compute all the representations, store them in the notebook and show you the appropriate one."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cNoJS"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Or just use `display(object)` if you are in a middle of a loop"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "for i in range(3):\n",
+ " display(cNoJS)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Advantage of using `display()` versus `display_*()` is that all representation will be stored in the notebook document and notebook file, they are then availlable for other frontends or post-processing tool like `nbconvert`."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's compare `display()` vs `display_html()` for our circle in the Notebook Web-app and we'll see later the difference in nbconvert."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print \"I should see a nice html circle in web-app, but\"\n",
+ "print \"nothing if the format I'm viewing the notebook in\"\n",
+ "print \"does not support html\"\n",
+ "display_html(cNoJS)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print \"Whatever the format I will see a representation\"\n",
+ "print \"of my circle\"\n",
+ "display(cNoJS)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print \"Same if I return the object\"\n",
+ "cNoJS"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print \"But not if I print it\"\n",
+ "print cNoJS"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Plotting with Matplotlib.ipynb b/examples/IPython Kernel/Plotting in the Notebook.ipynb
similarity index 100%
rename from examples/Notebook/Plotting with Matplotlib.ipynb
rename to examples/IPython Kernel/Plotting in the Notebook.ipynb
diff --git a/examples/Notebook/Raw Input.ipynb b/examples/IPython Kernel/Raw Input in the Notebook.ipynb
similarity index 100%
rename from examples/Notebook/Raw Input.ipynb
rename to examples/IPython Kernel/Raw Input in the Notebook.ipynb
diff --git a/examples/Notebook/Display System.ipynb b/examples/IPython Kernel/Rich Output.ipynb
similarity index 59%
rename from examples/Notebook/Display System.ipynb
rename to examples/IPython Kernel/Rich Output.ipynb
index e05fbfa..83fff95 100644
--- a/examples/Notebook/Display System.ipynb
+++ b/examples/IPython Kernel/Rich Output.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:ae010ef95e10f7b6ef5f0b51ab9e540112ad42edc1daf268de29fee0cff73085"
+ "signature": "sha256:cf83dc9e6288480ac94c44a5983b4ee421f0ade792a9fac64bc00719263386c0"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -13,14 +13,14 @@
"level": 1,
"metadata": {},
"source": [
- "IPython's Rich Display System"
+ "Rich Output"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n",
+ "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, rich representations including:\n",
"\n",
"* HTML\n",
"* JSON\n",
@@ -75,7 +75,10 @@
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import display_pretty, display_html, display_jpeg, display_png, display_json, display_latex, display_svg"
+ "from IPython.display import (\n",
+ " display_pretty, display_html, display_jpeg,\n",
+ " display_png, display_json, display_latex, display_svg\n",
+ ")"
],
"language": "python",
"metadata": {},
@@ -117,7 +120,7 @@
"language": "python",
"metadata": {},
"outputs": [],
- "prompt_number": 5
+ "prompt_number": 4
},
{
"cell_type": "markdown",
@@ -139,19 +142,19 @@
"metadata": {},
"output_type": "pyout",
"png": 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L0amUWggcqrXO8gg2FKHG2CdW4Uem9XvBlUflu7RUaiByU3lPa92ZKN8cSav8\nfUQBTHKr1rrqueIsxp18/eg1azrLjSYB6NfRsY3G6Is9nDjDYxh4zundvbMotvtm5N50duA5P09t\nT0faJIkfirU+zNrF1YiC4FBQECZE73/JqB//F+u14r+ImIVEOB1iu/6ZNfhwzEamp7YuU2e7RN1m\noZBnW5YVIfZ1qNWfotw51yuIph++hET0bAkcikwpTAEuCjxnSly3PzIP0a8NcnYgD6SBlSoaIhQX\nV2UtVup24LBU6S7IyG+NUuodZP52awojrTSvIjeshlij9XdQKh2jXYRRDtpGfOCruQfEpmzbdn0V\ndP9iPLsgjnEryI67Lzd/PCt6/5Tt+v3LJXAqQ/z7ut2ZO/Ccx23XfxUYZbt+7D8xCngl8Jwsa80s\nZBS8ke36O7cg4ybA5UgegJ0QE/XN5auvZRaiIMQRF12wXX8TCv9ls6eERpOtIMR+EXNS5YsRh8dS\nTo/V+CzUck21i6uR5++4wHNeKFXJRDH0PfoR5fqmtHKwDDhCa73O5JA3lCSeF04v6Z3FPRTMzBO7\nS6AE8Q12PbomgYn5Xpm29yMPhu2RUK96iKMn9q6zfa38JXo/NHoly7oQeM5K4Iro60+jKINuJVJC\nYu/439uuX805A4VkWyfbrp+V/MdFnOmeCmpfFKsSRYMc2/U/DeyG3OfSjpOx5WmfVHmcuXFcFfus\n5ZpqObbrb45EtswqpxyAcVI0FDMbOFxrXeT9a+heopvnEArzolvashT0wmbEapdgGpIU5XDb9R9F\nYqrXQyyL8wPPeTeuGHjOMtv1T0VuqldH6W//jigNmyHOcAcBgwPPcZog20xkRLcJ8DPb9S9CRqM7\nI7kDvoDE1hfdxwLPWWy7/plI7oCLbNffHXm4zUQeRtsjGRP/EXhOKSfcABkpj49i5+9G/putgHmB\n5yxIN4iSF21C14V6Rtiu/yYSW15uHv4a4P8oKAedlPcvOAv4KmItfCTKKfAS8v8NR1ILHwnsl5GA\nqF7ORdYaGA48HGWyfBqYgViDRwCfQR72PkDgOU9E2TvHI4m0TgeeRczb30DyH2iKcyA0ymrgWNv1\nFyDK1NvIQ3tStN3LCH+9HUl29UPb9echFo8BUbtLEKfJtJ9EmgA59ifbrj8bCR3cGDlvZqdTLcPa\n9NCbUMhs2GFLKvPFSAKxZl7/CxEL8pgoA+QMxD+kE3HenAHcHnjOGmNB6Dt8iGjHWSFKK4HHkcQr\nOxvloLXYrr+77fqrEIejNyiE6P0WccZbabv+lFLtG+Ry5AY/BHkYfRDtR9M79QAAA3FJREFUcwYS\nNdCFwHPuQR6a7wHfAR5GMhk+i9xcT6G6KIOKBJ6zFBn9r0GUmBlIWN9ziHf/5yjO/phsfy2yqt4i\nxOJxF3INTI9k/Q7ZoV4xv0PC5LZCci4sQm6g08kYHdquvxy5lt4DwsSmF5EENCts1//Idv3M9LbR\negJTkEx4NvBA1joFifqLIjkeR6wcfwdeQfIFTEEcjHNU79RXkShvw95Ixs5+yOj/KuSh+ATiAHcq\nxb4fxwOXRfJMQc6zlxGF6B3g4MBznmmWnBFzEUfP0xDFcCGiAG+JHKushESXIdanjRBF4l3EInAj\n8vuOqWK/5yNRGaOQFNkfIhkOX6CQgwAA2/W3jkI3V0T7ejjatAFyXb2PXP/LbVnroWGi6bbzo697\nIlaWk5Br93wkk+jztusP7o94Lna7eaoMZU0cVXIAped7eqGZfP2ZqmPFl+ptrVf3n19UpvVMYLRS\nagBywxuEjLwWAe9qrTMXV2mUzs7OP/Xrp+6qt33Hmn5Zue3XNeZTOVoky5nqKiQkrNT883Qk3WvJ\nsMLAc1bbrv9Z5AH6KWRkOB+5wRWlWo7a3Ga7/mOIomAho/GFyI30YeDREru7ELlOq07TG3jONbbr\nT0Nu9KOQm+i/gFsDz3nTdv2fI2FbpdpfHnlpH4LcnHdAlIz5yLErqXgFnvOR7fo28lDYE7lu3kKO\nTdZ9K52xrhTl7knnUVB6SqVeTsr4apQU6lDEbG4hCsFbROsRBE1ebjrwnNB2/XGIGf5gRBkYhPyv\n7yDpjR9MtVkOnGK7/vWIgrFrVPcF4O8ZKbaXIuduWkH6KfL/JbkEsWClfWK2CDzHt10/jzhXjkGO\nyzNIZEiRD00ga3ocaLv+kUh2xo8hSuVURKmIUyiXVGYCWVzKQlJD7xrJNg85b9LX8RLgF6X6SpFU\n9Cpe28gaJgORqEEAbNffDLlvHIQoAndR8NEYilwjExD/nwuUiTQ0GAwGw7qC7fqjEUvKqsBzmhWd\nt05gu/5pyNoifw48J9N5PForxQeeNFMMBoPBYDD0DWL/llvK1In9jt4zCoLBYDAYDH2DePo5MwrJ\ndv0hFPwTnjBRDAaDwWAw9A3+hPgOHRPl25iK+FhsiuR4OARx0Lwf+J1REAwGg8Fg6AMEnvNklL78\nHMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n",
- "prompt_number": 6,
+ "prompt_number": 5,
"text": [
- "<IPython.core.display.Image at 0x106a91e10>"
+ "<IPython.core.display.Image object>"
]
}
],
- "prompt_number": 6
+ "prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Or you can pass it to `display`:"
+ "Or you can pass an object with a rich representation to `display`:"
]
},
{
@@ -168,17 +171,17 @@
"output_type": "display_data",
"png": 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L0amUWggcqrXO8gg2FKHG2CdW4Uem9XvBlUflu7RUaiByU3lPa92ZKN8cSav8\nfUQBTHKr1rrqueIsxp18/eg1azrLjSYB6NfRsY3G6Is9nDjDYxh4zundvbMotvtm5N50duA5P09t\nT0faJIkfirU+zNrF1YiC4FBQECZE73/JqB//F+u14r+ImIVEOB1iu/6ZNfhwzEamp7YuU2e7RN1m\noZBnW5YVIfZ1qNWfotw51yuIph++hET0bAkcikwpTAEuCjxnSly3PzIP0a8NcnYgD6SBlSoaIhQX\nV2UtVup24LBU6S7IyG+NUuodZP52awojrTSvIjeshlij9XdQKh2jXYRRDtpGfOCruQfEpmzbdn0V\ndP9iPLsgjnEryI67Lzd/PCt6/5Tt+v3LJXAqQ/z7ut2ZO/Ccx23XfxUYZbt+7D8xCngl8Jwsa80s\nZBS8ke36O7cg4ybA5UgegJ0QE/XN5auvZRaiIMQRF12wXX8TCv9ls6eERpOtIMR+EXNS5YsRh8dS\nTo/V+CzUck21i6uR5++4wHNeKFXJRDH0PfoR5fqmtHKwDDhCa73O5JA3lCSeF04v6Z3FPRTMzBO7\nS6AE8Q12PbomgYn5Xpm29yMPhu2RUK96iKMn9q6zfa38JXo/NHoly7oQeM5K4Iro60+jKINuJVJC\nYu/439uuX805A4VkWyfbrp+V/MdFnOmeCmpfFKsSRYMc2/U/DeyG3OfSjpOx5WmfVHmcuXFcFfus\n5ZpqObbrb45EtswqpxyAcVI0FDMbOFxrXeT9a+heopvnEArzolvashT0wmbEapdgGpIU5XDb9R9F\nYqrXQyyL8wPPeTeuGHjOMtv1T0VuqldH6W//jigNmyHOcAcBgwPPcZog20xkRLcJ8DPb9S9CRqM7\nI7kDvoDE1hfdxwLPWWy7/plI7oCLbNffHXm4zUQeRtsjGRP/EXhOKSfcABkpj49i5+9G/putgHmB\n5yxIN4iSF21C14V6Rtiu/yYSW15uHv4a4P8oKAedlPcvOAv4KmItfCTKKfAS8v8NR1ILHwnsl5GA\nqF7ORdYaGA48HGWyfBqYgViDRwCfQR72PkDgOU9E2TvHI4m0TgeeRczb30DyH2iKcyA0ymrgWNv1\nFyDK1NvIQ3tStN3LCH+9HUl29UPb9echFo8BUbtLEKfJtJ9EmgA59ifbrj8bCR3cGDlvZqdTLcPa\n9NCbUMhs2GFLKvPFSAKxZl7/CxEL8pgoA+QMxD+kE3HenAHcHnjOGmNB6Dt8iGjHWSFKK4HHkcQr\nOxvloLXYrr+77fqrEIejNyiE6P0WccZbabv+lFLtG+Ry5AY/BHkYfRDtR9M79QAAA3FJREFUcwYS\nNdCFwHPuQR6a7wHfAR5GMhk+i9xcT6G6KIOKBJ6zFBn9r0GUmBlIWN9ziHf/5yjO/phsfy2yqt4i\nxOJxF3INTI9k/Q7ZoV4xv0PC5LZCci4sQm6g08kYHdquvxy5lt4DwsSmF5EENCts1//Idv3M9LbR\negJTkEx4NvBA1joFifqLIjkeR6wcfwdeQfIFTEEcjHNU79RXkShvw95Ixs5+yOj/KuSh+ATiAHcq\nxb4fxwOXRfJMQc6zlxGF6B3g4MBznmmWnBFzEUfP0xDFcCGiAG+JHKushESXIdanjRBF4l3EInAj\n8vuOqWK/5yNRGaOQFNkfIhkOX6CQgwAA2/W3jkI3V0T7ejjatAFyXb2PXP/LbVnroWGi6bbzo697\nIlaWk5Br93wkk+jztusP7o94Lna7eaoMZU0cVXIAped7eqGZfP2ZqmPFl+ptrVf3n19UpvVMYLRS\nagBywxuEjLwWAe9qrTMXV2mUzs7OP/Xrp+6qt33Hmn5Zue3XNeZTOVoky5nqKiQkrNT883Qk3WvJ\nsMLAc1bbrv9Z5AH6KWRkOB+5wRWlWo7a3Ga7/mOIomAho/GFyI30YeDREru7ELlOq07TG3jONbbr\nT0Nu9KOQm+i/gFsDz3nTdv2fI2FbpdpfHnlpH4LcnHdAlIz5yLErqXgFnvOR7fo28lDYE7lu3kKO\nTdZ9K52xrhTl7knnUVB6SqVeTsr4apQU6lDEbG4hCsFbROsRBE1ebjrwnNB2/XGIGf5gRBkYhPyv\n7yDpjR9MtVkOnGK7/vWIgrFrVPcF4O8ZKbaXIuduWkH6KfL/JbkEsWClfWK2CDzHt10/jzhXjkGO\nyzNIZEiRD00ga3ocaLv+kUh2xo8hSuVURKmIUyiXVGYCWVzKQlJD7xrJNg85b9LX8RLgF6X6SpFU\n9Cpe28gaJgORqEEAbNffDLlvHIQoAndR8NEYilwjExD/nwuUiTQ0GAwGw7qC7fqjEUvKqsBzmhWd\nt05gu/5pyNoifw48J9N5PForxQeeNFMMBoPBYDD0DWL/llvK1In9jt4zCoLBYDAYDH2DePo5MwrJ\ndv0hFPwTnjBRDAaDwWAw9A3+hPgOHRPl25iK+FhsiuR4OARx0Lwf+J1REAwGg8Fg6AMEnvNklL78\nHMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n",
"text": [
- "<IPython.core.display.Image at 0x106a91e10>"
+ "<IPython.core.display.Image object>"
]
}
],
- "prompt_number": 7
+ "prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "An image can also be displayed from raw data or a url"
+ "An image can also be displayed from raw data or a URL."
]
},
{
@@ -196,19 +199,19 @@
],
"metadata": {},
"output_type": "pyout",
- "prompt_number": 8,
+ "prompt_number": 7,
"text": [
- "<IPython.core.display.Image at 0x107005150>"
+ "<IPython.core.display.Image object>"
]
}
],
- "prompt_number": 8
+ "prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
+ "SVG images are also supported out of the box."
]
},
{
@@ -216,7 +219,7 @@
"collapsed": false,
"input": [
"from IPython.display import SVG\n",
- "SVG(filename='images/python_logo.svg')"
+ "SVG(filename='../images/python_logo.svg')"
],
"language": "python",
"metadata": {},
@@ -224,7 +227,7 @@
{
"metadata": {},
"output_type": "pyout",
- "prompt_number": 9,
+ "prompt_number": 8,
"svg": [
"<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
" <metadata id=\"metadata2193\">\n",
@@ -289,46 +292,71 @@
"</svg>"
],
"text": [
- "<IPython.core.display.SVG at 0x107005250>"
+ "<IPython.core.display.SVG object>"
]
}
],
- "prompt_number": 9
+ "prompt_number": 8
},
{
"cell_type": "heading",
- "level": 2,
+ "level": 3,
"metadata": {},
"source": [
- "Links to local files"
+ "Embedded vs non-embedded Images"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "If we want to create a link to one of them, we can call use the `FileLink` object."
+ "By default, image data is embedded in the notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import FileLink, FileLinks\n",
- "FileLink('Running Code.ipynb')"
+ "from IPython.display import Image\n",
+ "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
+ "\n",
+ "# by default Image data are embedded\n",
+ "Embed = Image(img_url)\n",
+ "\n",
+ "# if kwarg `url` is given, the embedding is assumed to be false\n",
+ "SoftLinked = Image(url=img_url)\n",
+ "\n",
+ "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
+ "# ForceEmbed = Image(url=img_url, embed=True)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not todays image."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "Embed"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<a href='Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>"
- ],
+ "jpeg": 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oCITmOR80BIMmZwnIJoKQST/pE1KAgZnAMUepRB9u9ReQBYEAfpHt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\nTLiN8bFraIISojbIUkmcGsTa0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ndIjsDJmBn6f19y1tb/AE5lNwBqDHkuhp9aEFseqFhJ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\n",
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
- "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Running Code.ipynb"
+ "<IPython.core.display.Image object>"
]
}
],
@@ -338,118 +366,59 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Alternatively, if we want to link to all of the files in a directory, we can use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
+ "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks saved with this kind of image will be smaller and always reflect the current version of the source, but the image won't display offline."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "FileLinks('.')"
+ "SoftLinked"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
- "./<br>\n",
- " <a href='./Animations Using clear_output.ipynb' target='_blank'>Animations Using clear_output.ipynb</a><br>\n",
- " <a href='./Basic Output.ipynb' target='_blank'>Basic Output.ipynb</a><br>\n",
- " <a href='./Connecting with the Qt Console.ipynb' target='_blank'>Connecting with the Qt Console.ipynb</a><br>\n",
- " <a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
- " <a href='./Display System.ipynb' target='_blank'>Display System.ipynb</a><br>\n",
- " <a href='./Importing Notebooks.ipynb' target='_blank'>Importing Notebooks.ipynb</a><br>\n",
- " <a href='./Index.ipynb' target='_blank'>Index.ipynb</a><br>\n",
- " <a href='./Markdown Cells.ipynb' target='_blank'>Markdown Cells.ipynb</a><br>\n",
- " <a href='./Plotting with Matplotlib.ipynb' target='_blank'>Plotting with Matplotlib.ipynb</a><br>\n",
- " <a href='./Progress Bars.ipynb' target='_blank'>Progress Bars.ipynb</a><br>\n",
- " <a href='./Raw Input.ipynb' target='_blank'>Raw Input.ipynb</a><br>\n",
- " <a href='./Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>\n",
- " <a href='./SymPy.ipynb' target='_blank'>SymPy.ipynb</a><br>\n",
- " <a href='./Trapezoid Rule.ipynb' target='_blank'>Trapezoid Rule.ipynb</a><br>\n",
- " <a href='./Typesetting Math Using MathJax.ipynb' target='_blank'>Typesetting Math Using MathJax.ipynb</a><br>\n",
- " <a href='./User Interface.ipynb' target='_blank'>User Interface.ipynb</a><br>\n",
- "./images/<br>\n",
- " <a href='./images/animation.m4v' target='_blank'>animation.m4v</a><br>\n",
- " <a href='./images/command_mode.png' target='_blank'>command_mode.png</a><br>\n",
- " <a href='./images/edit_mode.png' target='_blank'>edit_mode.png</a><br>\n",
- " <a href='./images/menubar_toolbar.png' target='_blank'>menubar_toolbar.png</a><br>\n",
- " <a href='./images/python_logo.svg' target='_blank'>python_logo.svg</a><br>\n",
- "./nbpackage/<br>\n",
- " <a href='./nbpackage/__init__.py' target='_blank'>__init__.py</a><br>\n",
- " <a href='./nbpackage/mynotebook.ipynb' target='_blank'>mynotebook.ipynb</a><br>\n",
- "./nbpackage/nbs/<br>\n",
- " <a href='./nbpackage/nbs/__init__.py' target='_blank'>__init__.py</a><br>\n",
- " <a href='./nbpackage/nbs/other.ipynb' target='_blank'>other.ipynb</a><br>"
+ "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"text": [
- "./\n",
- " Animations Using clear_output.ipynb\n",
- " Basic Output.ipynb\n",
- " Connecting with the Qt Console.ipynb\n",
- " Custom Display Logic.ipynb\n",
- " Display System.ipynb\n",
- " Importing Notebooks.ipynb\n",
- " Index.ipynb\n",
- " Markdown Cells.ipynb\n",
- " Plotting with Matplotlib.ipynb\n",
- " Progress Bars.ipynb\n",
- " Raw Input.ipynb\n",
- " Running Code.ipynb\n",
- " SymPy.ipynb\n",
- " Trapezoid Rule.ipynb\n",
- " Typesetting Math Using MathJax.ipynb\n",
- " User Interface.ipynb\n",
- "./images/\n",
- " animation.m4v\n",
- " command_mode.png\n",
- " edit_mode.png\n",
- " menubar_toolbar.png\n",
- " python_logo.svg\n",
- "./nbpackage/\n",
- " __init__.py\n",
- " mynotebook.ipynb\n",
- "./nbpackage/nbs/\n",
- " __init__.py\n",
- " other.ipynb"
+ "<IPython.core.display.Image object>"
]
}
],
"prompt_number": 11
},
{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Of course, if you re-run this Notebook, the two images will be the same again."
+ ]
+ },
+ {
"cell_type": "heading",
- "level": 3,
+ "level": 2,
"metadata": {},
"source": [
- "Embedded vs Non-embedded Images"
+ "HTML"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "By default, image data is embedded in the Notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
+ "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import Image\n",
- "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
- "\n",
- "# by default Image data are embedded\n",
- "Embed = Image(img_url)\n",
- "\n",
- "# if kwarg `url` is given, the embedding is assumed to be false\n",
- "SoftLinked = Image(url=img_url)\n",
- "\n",
- "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
- "# ForceEmbed = Image(url=img_url, embed=True)"
+ "from IPython.display import HTML"
],
"language": "python",
"metadata": {},
@@ -457,520 +426,718 @@
"prompt_number": 12
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "s = \"\"\"<table>\n",
+ "<tr>\n",
+ "<th>Header 1</th>\n",
+ "<th>Header 2</th>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 1, cell 1</td>\n",
+ "<td>row 1, cell 2</td>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 2, cell 1</td>\n",
+ "<td>row 2, cell 2</td>\n",
+ "</tr>\n",
+ "</table>\"\"\""
+ ],
+ "language": "python",
"metadata": {},
- "source": [
- "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not todays image."
- ]
+ "outputs": [],
+ "prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "Embed"
+ "h = HTML(s)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(h)"
],
"language": "python",
"metadata": {},
"outputs": [
{
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ahzq+lu8VqInS3fVsHvFEGG7xU4bvFVE4bvFHpd4oqfS7xU4bv+ND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\nGFBLLcJ6O5lkffu4cK9Fb3WzjaRpeSOZY0yGbWQ3t+zXz+XK4SXCdpK//9k=\n",
+ "html": [
+ "<table>\n",
+ "<tr>\n",
+ "<th>Header 1</th>\n",
+ "<th>Header 2</th>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 1, cell 1</td>\n",
+ "<td>row 1, cell 2</td>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 2, cell 1</td>\n",
+ "<td>row 2, cell 2</td>\n",
+ "</tr>\n",
+ "</table>"
+ ],
"metadata": {},
- "output_type": "pyout",
- "prompt_number": 13,
+ "output_type": "display_data",
"text": [
- "<IPython.core.display.Image at 0x1068d0a10>"
+ "<IPython.core.display.HTML object>"
]
}
],
- "prompt_number": 13
+ "prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks saved with this kind of image will be lighter and always reflect the current version of the source, but the image won't display offline."
+ "You can also use the `%%html` cell magic to accomplish the same thing."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "SoftLinked"
+ "%%html\n",
+ "<table>\n",
+ "<tr>\n",
+ "<th>Header 1</th>\n",
+ "<th>Header 2</th>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 1, cell 1</td>\n",
+ "<td>row 1, cell 2</td>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 2, cell 1</td>\n",
+ "<td>row 2, cell 2</td>\n",
+ "</tr>\n",
+ "</table>"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
- "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
+ "<table>\n",
+ "<tr>\n",
+ "<th>Header 1</th>\n",
+ "<th>Header 2</th>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 1, cell 1</td>\n",
+ "<td>row 1, cell 2</td>\n",
+ "</tr>\n",
+ "<tr>\n",
+ "<td>row 2, cell 1</td>\n",
+ "<td>row 2, cell 2</td>\n",
+ "</tr>\n",
+ "</table>"
],
"metadata": {},
- "output_type": "pyout",
- "prompt_number": 14,
+ "output_type": "display_data",
"text": [
- "<IPython.core.display.Image at 0x106ab19d0>"
+ "<IPython.core.display.HTML object>"
]
}
],
- "prompt_number": 14
+ "prompt_number": 16
},
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
"source": [
- "Of course, if you re-run this Notebook, the two images will be the same again."
+ "JavaScript"
]
},
{
- "cell_type": "heading",
- "level": 2,
+ "cell_type": "markdown",
"metadata": {},
"source": [
- "Audio"
+ "The Notebook also enables objects to declare a JavaScript representation. At first, this may seem odd as output is inherently visual and JavaScript is a programming language. However, this opens the door for rich output that leverages the full power of JavaScript and associated libraries such as [d3.js](http://d3js.org) for output."
]
},
{
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import Javascript"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 17
+ },
+ {
"cell_type": "markdown",
"metadata": {},
"source": [
- "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
+ "Pass a string of JavaScript source code to the `JavaScript` object and then display it."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import Audio\n",
- "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
+ "js = Javascript('alert(\"hi\")');"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(js)"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "\n",
- " <audio controls=\"controls\" >\n",
- " <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
- " Your browser does not support the audio element.\n",
- " </audio>\n",
- " "
+ "javascript": [
+ "alert(\"hi\")"
],
"metadata": {},
- "output_type": "pyout",
- "prompt_number": 15,
+ "output_type": "display_data",
"text": [
- "<IPython.lib.display.Audio at 0x1070b2510>"
+ "<IPython.core.display.Javascript object>"
]
}
],
- "prompt_number": 15
+ "prompt_number": 19
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "A Numpy array can be auralized automatically. The Audio class normalizes and encodes the data and embed the result in the Notebook.\n",
- "\n",
- "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows"
+ "The same thing can be accomplished using the `%%javascript` cell magic:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "import numpy as np\n",
- "max_time = 3\n",
- "f1 = 220.0\n",
- "f2 = 224.0\n",
- "rate = 8000.0\n",
- "L = 3\n",
- "times = np.linspace(0,L,rate*L)\n",
- "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
+ "%%javascript\n",
"\n",
- "Audio(data=signal, rate=rate)"
+ "alert(\"hi\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
+ "javascript": [
"\n",
- " <audio controls=\"controls\" >\n",
- " <source 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\" type=\"audio/wav\" />\n",
- " Your browser does not support the audio element.\n",
- " </audio>\n",
- " "
+ "alert(\"hi\");"
],
"metadata": {},
- "output_type": "pyout",
- "prompt_number": 16,
+ "output_type": "display_data",
"text": [
- "<IPython.lib.display.Audio at 0x10828a050>"
+ "<IPython.core.display.Javascript object>"
]
}
],
- "prompt_number": 16
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Video"
- ]
+ "prompt_number": 20
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol. For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other hosted content is trivial):"
+ "Here is a more complicated example that loads `d3.js` from a CDN, uses the `%%html` magic to load CSS styles onto the page and then runs ones of the `d3.js` examples."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import YouTubeVideo\n",
- "# a talk about IPython at Sage Days at U. Washington, Seattle.\n",
- "# Video credit: William Stein.\n",
- "YouTubeVideo('1j_HxD4iLn8')"
+ "Javascript(\n",
+ " \"\"\"$.getScript('//cdnjs.cloudflare.com/ajax/libs/d3/3.2.2/d3.v3.min.js')\"\"\"\n",
+ ")"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "\n",
- " <iframe\n",
- " width=\"400\"\n",
- " height=300\"\n",
- " src=\"https://www.youtube.com/embed/1j_HxD4iLn8\"\n",
- " frameborder=\"0\"\n",
- " allowfullscreen\n",
- " ></iframe>\n",
- " "
+ "javascript": [
+ "$.getScript('//cdnjs.cloudflare.com/ajax/libs/d3/3.2.2/d3.v3.min.js')"
],
"metadata": {},
"output_type": "pyout",
- "prompt_number": 17,
+ "prompt_number": 21,
"text": [
- "<IPython.lib.display.YouTubeVideo at 0x108313810>"
+ "<IPython.core.display.Javascript object>"
]
}
],
- "prompt_number": 17
+ "prompt_number": 21
},
{
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
- "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
- "we will continue testing this and looking for ways to make it more robust. \n",
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%html\n",
+ "<style type=\"text/css\">\n",
"\n",
- "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n",
- "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control\n",
- "bar at the bottom with a play/pause button and a location slider."
- ]
+ "circle {\n",
+ " fill: rgb(31, 119, 180);\n",
+ " fill-opacity: .25;\n",
+ " stroke: rgb(31, 119, 180);\n",
+ " stroke-width: 1px;\n",
+ "}\n",
+ "\n",
+ ".leaf circle {\n",
+ " fill: #ff7f0e;\n",
+ " fill-opacity: 1;\n",
+ "}\n",
+ "\n",
+ "text {\n",
+ " font: 10px sans-serif;\n",
+ "}\n",
+ "\n",
+ "</style>"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<style type=\"text/css\">\n",
+ "\n",
+ "circle {\n",
+ " fill: rgb(31, 119, 180);\n",
+ " fill-opacity: .25;\n",
+ " stroke: rgb(31, 119, 180);\n",
+ " stroke-width: 1px;\n",
+ "}\n",
+ "\n",
+ ".leaf circle {\n",
+ " fill: #ff7f0e;\n",
+ " fill-opacity: 1;\n",
+ "}\n",
+ "\n",
+ "text {\n",
+ " font: 10px sans-serif;\n",
+ "}\n",
+ "\n",
+ "</style>"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.HTML object>"
+ ]
+ }
+ ],
+ "prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import HTML\n",
- "from base64 import b64encode\n",
- "video = open(\"images/animation.m4v\", \"rb\").read()\n",
- "video_encoded = b64encode(video).decode('ascii')\n",
- "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
- "HTML(data=video_tag)"
+ "%%javascript\n",
+ "\n",
+ "// element is the jQuery element we will append to\n",
+ "var e = element.get(0);\n",
+ " \n",
+ "var diameter = 600,\n",
+ " format = d3.format(\",d\");\n",
+ "\n",
+ "var pack = d3.layout.pack()\n",
+ " .size([diameter - 4, diameter - 4])\n",
+ " .value(function(d) { return d.size; });\n",
+ "\n",
+ "var svg = d3.select(e).append(\"svg\")\n",
+ " .attr(\"width\", diameter)\n",
+ " .attr(\"height\", diameter)\n",
+ " .append(\"g\")\n",
+ " .attr(\"transform\", \"translate(2,2)\");\n",
+ "\n",
+ "d3.json(\"data/flare.json\", function(error, root) {\n",
+ " var node = svg.datum(root).selectAll(\".node\")\n",
+ " .data(pack.nodes)\n",
+ " .enter().append(\"g\")\n",
+ " .attr(\"class\", function(d) { return d.children ? \"node\" : \"leaf node\"; })\n",
+ " .attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });\n",
+ "\n",
+ " node.append(\"title\")\n",
+ " .text(function(d) { return d.name + (d.children ? \"\" : \": \" + format(d.size)); });\n",
+ "\n",
+ " node.append(\"circle\")\n",
+ " .attr(\"r\", function(d) { return d.r; });\n",
+ "\n",
+ " node.filter(function(d) { return !d.children; }).append(\"text\")\n",
+ " .attr(\"dy\", \".3em\")\n",
+ " .style(\"text-anchor\", \"middle\")\n",
+ " .text(function(d) { return d.name.substring(0, d.r / 3); });\n",
+ "});\n",
+ "\n",
+ "d3.select(self.frameElement).style(\"height\", diameter + \"px\");"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<video controls alt=\"test\" src=\"data:video/x-m4v;base64,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+ "javascript": [
+ "\n",
+ "// element is the jQuery element we will append to\n",
+ "var e = element.get(0);\n",
+ " \n",
+ "var diameter = 600,\n",
+ " format = d3.format(\",d\");\n",
+ "\n",
+ "var pack = d3.layout.pack()\n",
+ " .size([diameter - 4, diameter - 4])\n",
+ " .value(function(d) { return d.size; });\n",
+ "\n",
+ "var svg = d3.select(e).append(\"svg\")\n",
+ " .attr(\"width\", diameter)\n",
+ " .attr(\"height\", diameter)\n",
+ " .append(\"g\")\n",
+ " .attr(\"transform\", \"translate(2,2)\");\n",
+ "\n",
+ "d3.json(\"data/flare.json\", function(error, root) {\n",
+ " var node = svg.datum(root).selectAll(\".node\")\n",
+ " .data(pack.nodes)\n",
+ " .enter().append(\"g\")\n",
+ " .attr(\"class\", function(d) { return d.children ? \"node\" : \"leaf node\"; })\n",
+ " .attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });\n",
+ "\n",
+ " node.append(\"title\")\n",
+ " .text(function(d) { return d.name + (d.children ? \"\" : \": \" + format(d.size)); });\n",
+ "\n",
+ " node.append(\"circle\")\n",
+ " .attr(\"r\", function(d) { return d.r; });\n",
+ "\n",
+ " node.filter(function(d) { return !d.children; }).append(\"text\")\n",
+ " .attr(\"dy\", \".3em\")\n",
+ " .style(\"text-anchor\", \"middle\")\n",
+ " .text(function(d) { return d.name.substring(0, d.r / 3); });\n",
+ "});\n",
+ "\n",
+ "d3.select(self.frameElement).style(\"height\", diameter + \"px\");"
],
"metadata": {},
- "output_type": "pyout",
- "prompt_number": 18,
+ "output_type": "display_data",
"text": [
- "<IPython.core.display.HTML at 0x1070b3050>"
+ "<IPython.core.display.Javascript object>"
]
}
],
- "prompt_number": 18
+ "prompt_number": 23
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
- "HTML"
+ "LaTeX"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
+ "The IPython display system also has builtin support for the display of mathematical expressions typeset in LaTeX, which is rendered in the browser using [MathJax](http://mathjax.org)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can pass raw LaTeX test as a string to the `Math` object:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import HTML"
+ "from IPython.display import Math\n",
+ "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 19
+ "outputs": [
+ {
+ "latex": [
+ "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 24,
+ "text": [
+ "<IPython.core.display.Math object>"
+ ]
+ }
+ ],
+ "prompt_number": 24
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:"
+ ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "s = \"\"\"<table>\n",
- "<tr>\n",
- "<th>Header 1</th>\n",
- "<th>Header 2</th>\n",
- "</tr>\n",
- "<tr>\n",
- "<td>row 1, cell 1</td>\n",
- "<td>row 1, cell 2</td>\n",
- "</tr>\n",
- "<tr>\n",
- "<td>row 2, cell 1</td>\n",
- "<td>row 2, cell 2</td>\n",
- "</tr>\n",
- "</table>\"\"\""
+ "from IPython.display import Latex\n",
+ "Latex(r\"\"\"\\begin{eqnarray}\n",
+ "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
+ "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
+ "\\end{eqnarray}\"\"\")"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 20
+ "outputs": [
+ {
+ "latex": [
+ "\\begin{eqnarray}\n",
+ "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
+ "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
+ "\\end{eqnarray}"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 25,
+ "text": [
+ "<IPython.core.display.Latex object>"
+ ]
+ }
+ ],
+ "prompt_number": 25
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Or you can enter LaTeX directly with the `%%latex` cell magic:"
+ ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "h = HTML(s); h"
+ "%%latex\n",
+ "\\begin{align}\n",
+ "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
+ "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
+ "\\end{align}"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<table>\n",
- "<tr>\n",
- "<th>Header 1</th>\n",
- "<th>Header 2</th>\n",
- "</tr>\n",
- "<tr>\n",
- "<td>row 1, cell 1</td>\n",
- "<td>row 1, cell 2</td>\n",
- "</tr>\n",
- "<tr>\n",
- "<td>row 2, cell 1</td>\n",
- "<td>row 2, cell 2</td>\n",
- "</tr>\n",
- "</table>"
+ "latex": [
+ "\\begin{align}\n",
+ "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
+ "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
+ "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
+ "\\end{align}"
],
"metadata": {},
- "output_type": "pyout",
- "prompt_number": 21,
+ "output_type": "display_data",
"text": [
- "<IPython.core.display.HTML at 0x108313a90>"
+ "<IPython.core.display.Latex object>"
]
}
],
- "prompt_number": 21
+ "prompt_number": 26
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Audio"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Pandas makes use of this capability to allow `DataFrames` to be represented as HTML tables."
+ "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "import pandas"
+ "from IPython.display import Audio\n",
+ "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 22
+ "outputs": [
+ {
+ "html": [
+ "\n",
+ " <audio controls=\"controls\" >\n",
+ " <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
+ " Your browser does not support the audio element.\n",
+ " </audio>\n",
+ " "
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 27,
+ "text": [
+ "<IPython.lib.display.Audio object>"
+ ]
+ }
+ ],
+ "prompt_number": 27
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here is a small amount of stock data for APPL:"
+ "A NumPy array can be auralized automatically. The `Audio` class normalizes and encodes the data and embeds the resulting audio in the Notebook.\n",
+ "\n",
+ "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "%%file data.csv\n",
- "Date,Open,High,Low,Close,Volume,Adj Close\n",
- "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
- "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
- "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
- "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
- "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
- "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53"
+ "import numpy as np\n",
+ "max_time = 3\n",
+ "f1 = 220.0\n",
+ "f2 = 224.0\n",
+ "rate = 8000.0\n",
+ "L = 3\n",
+ "times = np.linspace(0,L,rate*L)\n",
+ "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
+ "\n",
+ "Audio(data=signal, rate=rate)"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "output_type": "stream",
- "stream": "stdout",
+ "html": [
+ "\n",
+ " <audio controls=\"controls\" >\n",
+ " <source 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\" type=\"audio/wav\" />\n",
+ " Your browser does not support the audio element.\n",
+ " </audio>\n",
+ " "
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 28,
"text": [
- "Writing data.csv\n"
+ "<IPython.lib.display.Audio object>"
]
}
],
- "prompt_number": 23
+ "prompt_number": 28
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Video"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Read this as into a `DataFrame`:"
+ "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol. For example, videos hosted externally on YouTube are easy to load:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "df = pandas.read_csv('data.csv')"
+ "from IPython.display import YouTubeVideo\n",
+ "YouTubeVideo('sjfsUzECqK0')"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 24
+ "outputs": [
+ {
+ "html": [
+ "\n",
+ " <iframe\n",
+ " width=\"400\"\n",
+ " height=300\"\n",
+ " src=\"https://www.youtube.com/embed/sjfsUzECqK0\"\n",
+ " frameborder=\"0\"\n",
+ " allowfullscreen\n",
+ " ></iframe>\n",
+ " "
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 29,
+ "text": [
+ "<IPython.lib.display.YouTubeVideo at 0x107c1eb50>"
+ ]
+ }
+ ],
+ "prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "And view the HTML representation:"
+ "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
+ "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
+ "we will continue testing this and looking for ways to make it more robust. \n",
+ "\n",
+ "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n",
+ "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control bar at the bottom with a play/pause button and a location slider."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "df"
+ "from IPython.display import HTML\n",
+ "from base64 import b64encode\n",
+ "video = open(\"../images/animation.m4v\", \"rb\").read()\n",
+ "video_encoded = b64encode(video).decode('ascii')\n",
+ "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
+ "HTML(data=video_tag)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
- "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Date</th>\n",
- " <th>Open</th>\n",
- " <th>High</th>\n",
- " <th>Low</th>\n",
- " <th>Close</th>\n",
- " <th>Volume</th>\n",
- " <th>Adj Close</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td> 2012-06-01</td>\n",
- " <td> 569.16</td>\n",
- " <td> 590.00</td>\n",
- " <td> 548.50</td>\n",
- " <td> 584.00</td>\n",
- " <td> 14077000</td>\n",
- " <td> 581.50</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td> 2012-05-01</td>\n",
- " <td> 584.90</td>\n",
- " <td> 596.76</td>\n",
- " <td> 522.18</td>\n",
- " <td> 577.73</td>\n",
- " <td> 18827900</td>\n",
- " <td> 575.26</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td> 2012-04-02</td>\n",
- " <td> 601.83</td>\n",
- " <td> 644.00</td>\n",
- " <td> 555.00</td>\n",
- " <td> 583.98</td>\n",
- " <td> 28759100</td>\n",
- " <td> 581.48</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td> 2012-03-01</td>\n",
- " <td> 548.17</td>\n",
- " <td> 621.45</td>\n",
- " <td> 516.22</td>\n",
- " <td> 599.55</td>\n",
- " <td> 26486000</td>\n",
- " <td> 596.99</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td> 2012-02-01</td>\n",
- " <td> 458.41</td>\n",
- " <td> 547.61</td>\n",
- " <td> 453.98</td>\n",
- " <td> 542.44</td>\n",
- " <td> 22001000</td>\n",
- " <td> 540.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td> 2012-01-03</td>\n",
- " <td> 409.40</td>\n",
- " <td> 458.24</td>\n",
- " <td> 409.00</td>\n",
- " <td> 456.48</td>\n",
- " <td> 12949100</td>\n",
- " <td> 454.53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>6 rows \u00d7 7 columns</p>\n",
- "</div>"
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],
"metadata": {},
"output_type": "pyout",
- "prompt_number": 25,
+ "prompt_number": 30,
"text": [
- " Date Open High Low Close Volume Adj Close\n",
- "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
- "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
- "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
- "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
- "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
- "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53\n",
- "\n",
- "[6 rows x 7 columns]"
+ "<IPython.core.display.HTML object>"
]
}
],
- "prompt_number": 25
+ "prompt_number": 30
},
{
"cell_type": "heading",
@@ -993,7 +1160,7 @@
"collapsed": false,
"input": [
"from IPython.display import IFrame\n",
- "IFrame('http://en.mobile.wikipedia.org/?useformat=mobile', width='100%', height=350)"
+ "IFrame('http://ipython.org', width='100%', height=350)"
],
"language": "python",
"metadata": {},
@@ -1004,7 +1171,7 @@
" <iframe\n",
" width=\"100%\"\n",
" height=350\"\n",
- " src=\"http://en.mobile.wikipedia.org/?useformat=mobile\"\n",
+ " src=\"http://ipython.org\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" ></iframe>\n",
@@ -1012,134 +1179,187 @@
],
"metadata": {},
"output_type": "pyout",
- "prompt_number": 26,
+ "prompt_number": 31,
"text": [
- "<IPython.lib.display.IFrame at 0x10a82db90>"
+ "<IPython.lib.display.IFrame at 0x107c1ecd0>"
]
}
],
- "prompt_number": 26
+ "prompt_number": 31
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
- "LaTeX"
+ "Links to local files"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered\n",
- "in the browser thanks to the [MathJax library](http://mathjax.org)."
+ "IPython provides builtin display classes for generating links to local files. Create a link to a single file using the `FileLink` object:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import Math\n",
- "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
+ "from IPython.display import FileLink, FileLinks\n",
+ "FileLink('Cell Magics.ipynb')"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "latex": [
- "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
+ "html": [
+ "<a href='Cell Magics.ipynb' target='_blank'>Cell Magics.ipynb</a><br>"
],
"metadata": {},
"output_type": "pyout",
- "prompt_number": 27,
+ "prompt_number": 33,
"text": [
- "<IPython.core.display.Math at 0x10a82d810>"
+ "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/IPython Kernel/Cell Magics.ipynb"
]
}
],
- "prompt_number": 27
+ "prompt_number": 33
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:"
+ "Alternatively, to generate links to all of the files in a directory, use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "from IPython.display import Latex\n",
- "Latex(r\"\"\"\\begin{eqnarray}\n",
- "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
- "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
- "\\end{eqnarray}\"\"\")"
+ "FileLinks('.')"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "latex": [
- "\\begin{eqnarray}\n",
- "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
- "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
- "\\end{eqnarray}"
+ "html": [
+ "./<br>\n",
+ " <a href='./Animations Using clear_output.ipynb' target='_blank'>Animations Using clear_output.ipynb</a><br>\n",
+ " <a href='./Background Jobs.ipynb' target='_blank'>Background Jobs.ipynb</a><br>\n",
+ " <a href='./Beyond Plain Python.ipynb' target='_blank'>Beyond Plain Python.ipynb</a><br>\n",
+ " <a href='./Capturing Output.ipynb' target='_blank'>Capturing Output.ipynb</a><br>\n",
+ " <a href='./Cell Magics.ipynb' target='_blank'>Cell Magics.ipynb</a><br>\n",
+ " <a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
+ " <a href='./example-demo.py' target='_blank'>example-demo.py</a><br>\n",
+ " <a href='./Index.ipynb' target='_blank'>Index.ipynb</a><br>\n",
+ " <a href='./ipython-completion.bash' target='_blank'>ipython-completion.bash</a><br>\n",
+ " <a href='./ipython-get-history.py' target='_blank'>ipython-get-history.py</a><br>\n",
+ " <a href='./ipython-qtconsole.desktop' target='_blank'>ipython-qtconsole.desktop</a><br>\n",
+ " <a href='./ipython.desktop' target='_blank'>ipython.desktop</a><br>\n",
+ " <a href='./Plotting in the Notebook.ipynb' target='_blank'>Plotting in the Notebook.ipynb</a><br>\n",
+ " <a href='./Raw Input in the Notebook.ipynb' target='_blank'>Raw Input in the Notebook.ipynb</a><br>\n",
+ " <a href='./Rich Output.ipynb' target='_blank'>Rich Output.ipynb</a><br>\n",
+ " <a href='./Script Magics.ipynb' target='_blank'>Script Magics.ipynb</a><br>\n",
+ " <a href='./SymPy.ipynb' target='_blank'>SymPy.ipynb</a><br>\n",
+ " <a href='./Terminal Usage.ipynb' target='_blank'>Terminal Usage.ipynb</a><br>\n",
+ " <a href='./Third Party Rich Output.ipynb' target='_blank'>Third Party Rich Output.ipynb</a><br>\n",
+ " <a href='./Trapezoid Rule.ipynb' target='_blank'>Trapezoid Rule.ipynb</a><br>\n",
+ " <a href='./Working With External Code.ipynb' target='_blank'>Working With External Code.ipynb</a><br>\n",
+ "./data/<br>\n",
+ " <a href='./data/flare.json' target='_blank'>flare.json</a><br>\n",
+ "./gui/<br>\n",
+ " <a href='./gui/gui-glut.py' target='_blank'>gui-glut.py</a><br>\n",
+ " <a href='./gui/gui-gtk.py' target='_blank'>gui-gtk.py</a><br>\n",
+ " <a href='./gui/gui-gtk3.py' target='_blank'>gui-gtk3.py</a><br>\n",
+ " <a href='./gui/gui-pyglet.py' target='_blank'>gui-pyglet.py</a><br>\n",
+ " <a href='./gui/gui-qt.py' target='_blank'>gui-qt.py</a><br>\n",
+ " <a href='./gui/gui-tk.py' target='_blank'>gui-tk.py</a><br>\n",
+ " <a href='./gui/gui-wx.py' target='_blank'>gui-wx.py</a><br>"
],
"metadata": {},
"output_type": "pyout",
- "prompt_number": 28,
+ "prompt_number": 34,
"text": [
- "<IPython.core.display.Latex at 0x10a82d090>"
+ "./\n",
+ " Animations Using clear_output.ipynb\n",
+ " Background Jobs.ipynb\n",
+ " Beyond Plain Python.ipynb\n",
+ " Capturing Output.ipynb\n",
+ " Cell Magics.ipynb\n",
+ " Custom Display Logic.ipynb\n",
+ " example-demo.py\n",
+ " Index.ipynb\n",
+ " ipython-completion.bash\n",
+ " ipython-get-history.py\n",
+ " ipython-qtconsole.desktop\n",
+ " ipython.desktop\n",
+ " Plotting in the Notebook.ipynb\n",
+ " Raw Input in the Notebook.ipynb\n",
+ " Rich Output.ipynb\n",
+ " Script Magics.ipynb\n",
+ " SymPy.ipynb\n",
+ " Terminal Usage.ipynb\n",
+ " Third Party Rich Output.ipynb\n",
+ " Trapezoid Rule.ipynb\n",
+ " Working With External Code.ipynb\n",
+ "./data/\n",
+ " flare.json\n",
+ "./gui/\n",
+ " gui-glut.py\n",
+ " gui-gtk.py\n",
+ " gui-gtk3.py\n",
+ " gui-pyglet.py\n",
+ " gui-qt.py\n",
+ " gui-tk.py\n",
+ " gui-wx.py"
]
}
],
- "prompt_number": 28
+ "prompt_number": 34
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Rich output and security"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Or you can enter latex directly with the `%%latex` cell magic:"
+ "The IPython Notebook allows arbitrary code execution in both the IPython kernel and in the browser, though HTML and JavaScript output. More importantly, because IPython has a JavaScript API for running code in the browser, HTML and JavaScript output can actually trigger code to be run in the kernel. This poses a significant security risk as it would allow IPython Notebooks to execute arbitrary code on your computers.\n",
+ "\n",
+ "To protect against these risks, the IPython Notebook has a security model that specifies how dangerous output is handled. Here is a short summary:\n",
+ "\n",
+ "* When you run code in the Notebook, all rich output is displayed.\n",
+ "* When you open a notebook, rich output is only displayed if it doesn't contain security vulberabilities,...\n",
+ "* ..or if you have trusted a notebook, all rich output will run upon opening it.\n",
+ "\n",
+ "A full description of the IPython security model can be found on [this page](http://ipython.org/ipython-doc/dev/notebook/security.html)."
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%latex\n",
- "\\begin{align}\n",
- "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
- "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
- "\\end{align}"
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
- "outputs": [
- {
- "latex": [
- "\\begin{align}\n",
- "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
- "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
- "\\end{align}"
- ],
- "metadata": {},
- "output_type": "display_data",
- "text": [
- "<IPython.core.display.Latex at 0x10a82d790>"
- ]
- }
- ],
- "prompt_number": 29
+ "source": [
+ "Rich output and nbviewer"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Much of the power of the Notebook is that it enables users to share notebooks with each other using http://nbviewer.ipython.org, without installing IPython locally. As of IPython 2.0, notebooks rendere on nbviewer will display all output, including HTML and JavaScript. Furthermore, to provide a consistent JavaScript environment on the live Notebook and nbviewer, the following JavaScript libraries are loaded onto the nbviewer page, *before* the notebook and its output is displayed:\n",
+ "\n",
+ "* [jQuery](http://jquery.com/)\n",
+ "* [RequireJS](http://requirejs.org/)\n",
+ "\n",
+ "Libraries such as [mpld3](http://mpld3.github.io/) use these capabilities to generate interactive visualizations that work on nbviewer."
+ ]
}
],
"metadata": {}
diff --git a/examples/Notebook/SymPy.ipynb b/examples/IPython Kernel/SymPy.ipynb
similarity index 100%
rename from examples/Notebook/SymPy.ipynb
rename to examples/IPython Kernel/SymPy.ipynb
diff --git a/examples/Interactive Widgets/Widget Styles.ipynb b/examples/IPython Kernel/Terminal Usage.ipynb
similarity index 55%
rename from examples/Interactive Widgets/Widget Styles.ipynb
rename to examples/IPython Kernel/Terminal Usage.ipynb
index 136ae87..5f4bb3e 100644
--- a/examples/Interactive Widgets/Widget Styles.ipynb
+++ b/examples/IPython Kernel/Terminal Usage.ipynb
@@ -1,13 +1,7 @@
{
"metadata": {
- "cell_tags": [
- [
- "<None>",
- null
- ]
- ],
"name": "",
- "signature": "sha256:cd7d3d42126bdbf20c087014460779dfbdb0a63dcb8f489ba7ebfc230a685edd"
+ "signature": "sha256:993106eecfd7abe1920e1dbe670c4518189c26e7b29dcc541835f7dcf6fffbb2"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -15,41 +9,29 @@
{
"cells": [
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.html import widgets # Widget definitions\n",
- "from IPython.display import display # Used to display widgets in the notebook"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 1
- },
- {
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
- "CSS"
+ "A few things that work best/only at the IPython terminal or Qt console clients"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "When trying to design an attractive widget GUI, styling becomes important.\n",
- "Most widget views are DOM (document object model) elements that can be controlled with CSS.\n",
- "There are two helper methods that allow the manipulation of the widget's CSS.\n",
- "The first is the `Widget.set_css` method.\n",
- "This method allows one or more CSS attributes to be set at once. "
+ "## Running code with `%run`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "print(widgets.DOMWidget.set_css.__doc__)"
+ "%%writefile script.py\n",
+ "x = 10\n",
+ "y = 20\n",
+ "z = x+y\n",
+ "print 'z is:', z"
],
"language": "python",
"metadata": {},
@@ -58,46 +40,17 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Set one or more CSS properties of the widget.\n",
- "\n",
- " This function has two signatures:\n",
- " - set_css(css_dict, selector='')\n",
- " - set_css(key, value, selector='')\n",
- "\n",
- " Parameters\n",
- " ----------\n",
- " css_dict : dict\n",
- " CSS key/value pairs to apply\n",
- " key: unicode\n",
- " CSS key\n",
- " value:\n",
- " CSS value\n",
- " selector: unicode (optional, kwarg only)\n",
- " JQuery selector to use to apply the CSS key/value. If no selector \n",
- " is provided, an empty selector is used. An empty selector makes the \n",
- " front-end try to apply the css to a default element. The default\n",
- " element is an attribute unique to each view, which is a DOM element\n",
- " of the view that should be styled with common CSS (see \n",
- " `$el_to_style` in the Javascript code).\n",
- " \n"
+ "Writing script.py\n"
]
}
],
- "prompt_number": 2
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The second is `get_css` which allows CSS attributesto be read.\n",
- "Note that this method will only read CSS attributes that have been set using the `set_css` method."
- ]
+ "prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "print(widgets.DOMWidget.get_css.__doc__)"
+ "%run script"
],
"language": "python",
"metadata": {},
@@ -106,194 +59,179 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Get a CSS property of the widget.\n",
- "\n",
- " Note: This function does not actually request the CSS from the \n",
- " front-end; Only properties that have been set with set_css can be read.\n",
- "\n",
- " Parameters\n",
- " ----------\n",
- " key: unicode\n",
- " CSS key\n",
- " selector: unicode (optional)\n",
- " JQuery selector used when the CSS key/value was set.\n",
- " \n"
+ "z is: 30\n"
]
}
],
- "prompt_number": 3
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Below is an example that applies CSS attributes to a container to emphasize text."
- ]
+ "prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "label = widgets.LatexWidget()\n",
- "label.value = \"$\\\\textbf{ALERT:} Hello World!$\"\n",
- "container = widgets.ContainerWidget(children=[label])\n",
- "\n",
- "# set_css used to set a single CSS attribute.\n",
- "container.set_css('border', '3px solid black') # Border the container\n",
- "\n",
- "# set_css used to set multiple CSS attributes.\n",
- "container.set_css({'padding': '6px', # Add padding to the container\n",
- " 'background': 'yellow'}) # Fill the container yellow\n",
- "\n",
- "display(container)"
+ "x"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 4
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 3,
+ "text": [
+ "10"
+ ]
+ }
+ ],
+ "prompt_number": 3
},
{
"cell_type": "heading",
- "level": 1,
+ "level": 2,
"metadata": {},
"source": [
- "CSS Classes"
+ "Event loop and GUI integration"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "In some cases, it is necessary to apply CSS classes to your widgets.\n",
- "CSS classes allow DOM elements to be indentified in Javascript and CSS.\n",
- "The notebook defines its own set of classes to stylize its elements.\n",
- "The `add_class` widget method allows you to add CSS classes to your widget."
+ "The `%gui` magic enables the integration of GUI event loops with the interactive execution loop, allowing you to run GUI code without blocking IPython.\n",
+ "\n",
+ "Consider for example the execution of Qt-based code. Once we enable the Qt gui support:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "print(widgets.DOMWidget.add_class.__doc__)"
+ "%gui qt"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Add class[es] to a DOM element.\n",
- "\n",
- " Parameters\n",
- " ----------\n",
- " class_names: unicode or list\n",
- " Class name(s) to add to the DOM element(s).\n",
- " selector: unicode (optional)\n",
- " JQuery selector to select the DOM element(s) that the class(es) will\n",
- " be added to.\n",
- " \n"
- ]
- }
- ],
- "prompt_number": 5
+ "outputs": [],
+ "prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Since `add_class` is a DOM operation, **it will only affect widgets that have already been displayed**.\n",
- "`add_class` must be called after the widget has been displayed.\n",
- "Extending the example above, the corners of the container can be rounded by adding the `corner-all` CSS class to the container."
+ "We can define a simple Qt application class (simplified version from [this Qt tutorial](http://zetcode.com/tutorials/pyqt4/firstprograms)):"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "container = widgets.ContainerWidget()\n",
- "container.set_css({'border': '3px solid black',\n",
- " 'padding': '6px', \n",
- " 'background': 'yellow'}) \n",
+ "import sys\n",
+ "from PyQt4 import QtGui, QtCore\n",
+ "\n",
+ "class SimpleWindow(QtGui.QWidget):\n",
+ " def __init__(self, parent=None):\n",
+ " QtGui.QWidget.__init__(self, parent)\n",
+ "\n",
+ " self.setGeometry(300, 300, 200, 80)\n",
+ " self.setWindowTitle('Hello World')\n",
+ "\n",
+ " quit = QtGui.QPushButton('Close', self)\n",
+ " quit.setGeometry(10, 10, 60, 35)\n",
"\n",
- "label = widgets.LatexWidget()\n",
- "label.value = \"$\\\\textbf{ALERT:} Hello World!$\"\n",
- "container.children = [label]\n",
- "display(container)\n",
- "container.add_class('corner-all') # Must be called AFTER display"
+ " self.connect(quit, QtCore.SIGNAL('clicked()'),\n",
+ " self, QtCore.SLOT('close()'))"
],
"language": "python",
"metadata": {},
"outputs": [],
- "prompt_number": 6
+ "prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The IPython notebook uses [bootstrap](http://getbootstrap.com/\u200e) for styling.\n",
- "The example above can be simplified by using a bootstrap class:"
+ "And now we can instantiate it:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "label = widgets.LatexWidget(value = \"$\\\\textbf{ALERT:} Hello World!$\")\n",
- "display(label)\n",
+ "app = QtCore.QCoreApplication.instance()\n",
+ "if app is None:\n",
+ " app = QtGui.QApplication([])\n",
+ "\n",
+ "sw = SimpleWindow()\n",
+ "sw.show()\n",
"\n",
- "# Apply twitter bootstrap alert class to the label.\n",
- "label.add_class(\"alert\")"
+ "from IPython.lib.guisupport import start_event_loop_qt4\n",
+ "start_event_loop_qt4(app)"
],
"language": "python",
"metadata": {},
"outputs": [],
- "prompt_number": 7
+ "prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The example below shows how bootstrap classes can be used to change button apearance."
+ "But IPython still remains responsive:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "# List of the bootstrap button styles\n",
- "button_classes = ['Default', 'btn-primary', 'btn-info', 'btn-success', \n",
- " 'btn-warning', 'btn-danger', 'btn-inverse', 'btn-link']\n",
- "\n",
- "# Create each button and apply the style. Also add margin to the buttons so they space\n",
- "# themselves nicely.\n",
- "for i in range(8):\n",
- " button = widgets.ButtonWidget(description=button_classes[i])\n",
- " button.set_css(\"margin\", \"5px\")\n",
- " display(button)\n",
- " if i > 0: # Don't add a class the first button.\n",
- " button.add_class(button_classes[i])\n",
- " "
+ "10+2"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 8
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 7,
+ "text": [
+ "12"
+ ]
+ }
+ ],
+ "prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "It is also useful to be able to remove CSS classes from widgets.\n",
- "The `remove_class` method allows you to remove classes from widgets that have been displayed.\n",
- "Like `add_class`, it must be called after the widget has been displayed."
+ "The `%gui` magic can be similarly used to control Wx, Tk, glut and pyglet applications, [as can be seen in our examples](https://github.com/ipython/ipython/tree/master/examples/lib)."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Embedding IPython in a terminal application"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "print(widgets.DOMWidget.remove_class.__doc__)"
+ "%%writefile simple-embed.py\n",
+ "# This shows how to use the new top-level embed function. It is a simpler\n",
+ "# API that manages the creation of the embedded shell.\n",
+ "\n",
+ "from IPython import embed\n",
+ "\n",
+ "a = 10\n",
+ "b = 20\n",
+ "\n",
+ "embed(header='First time', banner1='')\n",
+ "\n",
+ "c = 30\n",
+ "d = 40\n",
+ "\n",
+ "embed(header='The second time')"
],
"language": "python",
"metadata": {},
@@ -302,51 +240,33 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Remove class[es] from a DOM element.\n",
- "\n",
- " Parameters\n",
- " ----------\n",
- " class_names: unicode or list\n",
- " Class name(s) to remove from the DOM element(s).\n",
- " selector: unicode (optional)\n",
- " JQuery selector to select the DOM element(s) that the class(es) will\n",
- " be removed from.\n",
- " \n"
+ "Writing simple-embed.py\n"
]
}
],
- "prompt_number": 9
+ "prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The example below animates an alert using different bootstrap styles."
+ "The example in kernel-embedding shows how to embed a full kernel into an application and how to connect to this kernel from an external process."
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import time\n",
- "label = widgets.LatexWidget(value = \"$\\\\textbf{ALERT:} Hello World!$\")\n",
- "display(label)\n",
- "\n",
- "# Apply twitter bootstrap alert class to the label.\n",
- "label.add_class(\"alert\")\n",
- "\n",
- "# Animate through additional bootstrap label styles 3 times\n",
- "additional_alert_styles = ['alert-error', 'alert-info', 'alert-success']\n",
- "for i in range(3 * len(additional_alert_styles)):\n",
- " label.add_class(additional_alert_styles[i % 3])\n",
- " label.remove_class(additional_alert_styles[(i-1) % 3])\n",
- " time.sleep(1)\n",
- " "
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
- "outputs": [],
- "prompt_number": 10
+ "source": [
+ "Logging terminal sessions and transitioning to a notebook"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The `%logstart` magic lets you log a terminal session with various degrees of control, and the `%notebook` one will convert an interactive console session into a notebook with all input cells already created for you (but no output)."
+ ]
}
],
"metadata": {}
diff --git a/examples/IPython Kernel/Third Party Rich Output.ipynb b/examples/IPython Kernel/Third Party Rich Output.ipynb
new file mode 100644
index 0000000..ac66805
--- /dev/null
+++ b/examples/IPython Kernel/Third Party Rich Output.ipynb
@@ -0,0 +1,523 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:123d82ef0551f78e5dca94db6e00f1e10ae07d930467cf44709ccc6a9216776a"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Third Party Libraries With Rich Output"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "A number of third party libraries defined their own custom display logic. This gives their objcts rich output by default when used in the Notebook."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Pandas"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Pandas](http://pandas.pydata.org/) is a data analysis library for Python. Its `DataFrame` objects have an HTML table representation in the Notebook."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import pandas"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here is a small amount of stock data for APPL:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%writefile data.csv\n",
+ "Date,Open,High,Low,Close,Volume,Adj Close\n",
+ "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
+ "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
+ "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
+ "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
+ "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
+ "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Writing data.csv\n"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Read this as into a `DataFrame`:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "df = pandas.read_csv('data.csv')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "And view the HTML representation:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "df"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>Date</th>\n",
+ " <th>Open</th>\n",
+ " <th>High</th>\n",
+ " <th>Low</th>\n",
+ " <th>Close</th>\n",
+ " <th>Volume</th>\n",
+ " <th>Adj Close</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td> 2012-06-01</td>\n",
+ " <td> 569.16</td>\n",
+ " <td> 590.00</td>\n",
+ " <td> 548.50</td>\n",
+ " <td> 584.00</td>\n",
+ " <td> 14077000</td>\n",
+ " <td> 581.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td> 2012-05-01</td>\n",
+ " <td> 584.90</td>\n",
+ " <td> 596.76</td>\n",
+ " <td> 522.18</td>\n",
+ " <td> 577.73</td>\n",
+ " <td> 18827900</td>\n",
+ " <td> 575.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td> 2012-04-02</td>\n",
+ " <td> 601.83</td>\n",
+ " <td> 644.00</td>\n",
+ " <td> 555.00</td>\n",
+ " <td> 583.98</td>\n",
+ " <td> 28759100</td>\n",
+ " <td> 581.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td> 2012-03-01</td>\n",
+ " <td> 548.17</td>\n",
+ " <td> 621.45</td>\n",
+ " <td> 516.22</td>\n",
+ " <td> 599.55</td>\n",
+ " <td> 26486000</td>\n",
+ " <td> 596.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td> 2012-02-01</td>\n",
+ " <td> 458.41</td>\n",
+ " <td> 547.61</td>\n",
+ " <td> 453.98</td>\n",
+ " <td> 542.44</td>\n",
+ " <td> 22001000</td>\n",
+ " <td> 540.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td> 2012-01-03</td>\n",
+ " <td> 409.40</td>\n",
+ " <td> 458.24</td>\n",
+ " <td> 409.00</td>\n",
+ " <td> 456.48</td>\n",
+ " <td> 12949100</td>\n",
+ " <td> 454.53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>6 rows \u00d7 7 columns</p>\n",
+ "</div>"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 12,
+ "text": [
+ " Date Open High Low Close Volume Adj Close\n",
+ "0 2012-06-01 569.16 590.00 548.50 584.00 14077000 581.50\n",
+ "1 2012-05-01 584.90 596.76 522.18 577.73 18827900 575.26\n",
+ "2 2012-04-02 601.83 644.00 555.00 583.98 28759100 581.48\n",
+ "3 2012-03-01 548.17 621.45 516.22 599.55 26486000 596.99\n",
+ "4 2012-02-01 458.41 547.61 453.98 542.44 22001000 540.12\n",
+ "5 2012-01-03 409.40 458.24 409.00 456.48 12949100 454.53\n",
+ "\n",
+ "[6 rows x 7 columns]"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "SymPy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[SymPy](http://sympy.org/) is a symbolic computing library for Python. Its equation objects have LaTeX representations that are rendered in the Notebook."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from sympy.interactive.printing import init_printing\n",
+ "init_printing(use_latex='mathjax')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from __future__ import division\n",
+ "import sympy as sym\n",
+ "from sympy import *\n",
+ "x, y, z = symbols(\"x y z\")\n",
+ "k, m, n = symbols(\"k m n\", integer=True)\n",
+ "f, g, h = map(Function, 'fgh')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "Rational(3,2)*pi + exp(I*x) / (x**2 + y)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$$\\frac{3 \\pi}{2} + \\frac{e^{i x}}{x^{2} + y}$$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 15,
+ "text": [
+ " \u2148\u22c5x \n",
+ "3\u22c5\u03c0 \u212f \n",
+ "\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500\u2500\n",
+ " 2 2 \n",
+ " x + y"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "a = 1/x + (x*sin(x) - 1)/x\n",
+ "a"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$$\\frac{1}{x} \\left(x \\sin{\\left (x \\right )} - 1\\right) + \\frac{1}{x}$$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 16,
+ "text": [
+ "x\u22c5sin(x) - 1 1\n",
+ "\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 + \u2500\n",
+ " x x"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "(1/cos(x)).series(x, 0, 6)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "latex": [
+ "$$1 + \\frac{x^{2}}{2} + \\frac{5 x^{4}}{24} + \\mathcal{O}\\left(x^{6}\\right)$$"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 17,
+ "text": [
+ " 2 4 \n",
+ " x 5\u22c5x \u239b 6\u239e\n",
+ "1 + \u2500\u2500 + \u2500\u2500\u2500\u2500 + O\u239dx \u23a0\n",
+ " 2 24 "
+ ]
+ }
+ ],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Vincent"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Vincent](https://vincent.readthedocs.org/en/latest/) is a visualization library that uses the [Vega](http://trifacta.github.io/vega/) visualization grammar to build [d3.js](http://d3js.org/) based visualizations in the Notebook and on http://nbviewer.ipython.org. `Visualization` objects in Vincetn have rich HTML and JavaSrcript representations."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import vincent\n",
+ "import pandas as pd"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import pandas.io.data as web\n",
+ "import datetime\n",
+ "all_data = {}\n",
+ "date_start = datetime.datetime(2010, 1, 1)\n",
+ "date_end = datetime.datetime(2014, 1, 1)\n",
+ "for ticker in ['AAPL', 'IBM', 'YHOO', 'MSFT']:\n",
+ " all_data[ticker] = web.DataReader(ticker, 'yahoo', date_start, date_end)\n",
+ "price = pd.DataFrame({tic: data['Adj Close']\n",
+ " for tic, data in all_data.items()})"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "vincent.initialize_notebook()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "\n",
+ " <script>\n",
+ " \n",
+ " function vct_load_lib(url, callback){\n",
+ " if(typeof d3 !== 'undefined' &&\n",
+ " url === 'http://d3js.org/d3.v3.min.js'){\n",
+ " callback()\n",
+ " }\n",
+ " var s = document.createElement('script');\n",
+ " s.src = url;\n",
+ " s.async = true;\n",
+ " s.onreadystatechange = s.onload = callback;\n",
+ " s.onerror = function(){\n",
+ " console.warn(\"failed to load library \" + url);\n",
+ " };\n",
+ " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+ " };\n",
+ " var vincent_event = new CustomEvent(\n",
+ " \"vincent_libs_loaded\",\n",
+ " {bubbles: true, cancelable: true}\n",
+ " );\n",
+ " \n",
+ " function load_all_libs(){\n",
+ " console.log('loading all libs')\n",
+ " vct_load_lib('http://d3js.org/d3.v3.min.js', function(){\n",
+ " vct_load_lib('http://d3js.org/d3.geo.projection.v0.min.js', function(){\n",
+ " vct_load_lib('http://wrobstory.github.io/d3-cloud/d3.layout.cloud.js', function(){\n",
+ " vct_load_lib('http://trifacta.github.com/vega/vega.js', function(){\n",
+ " window.dispatchEvent(vincent_event);\n",
+ " });\n",
+ " });\n",
+ " });\n",
+ " });\n",
+ " };\n",
+ " if(typeof define === \"function\" && define.amd){\n",
+ " if (window['d3'] === undefined ||\n",
+ " window['topojson'] === undefined){\n",
+ " require.config(\n",
+ " {paths: {\n",
+ " d3: 'http://d3js.org/d3.v3.min',\n",
+ " topojson: 'http://d3js.org/topojson.v1.min'\n",
+ " }\n",
+ " }\n",
+ " );\n",
+ " require([\"d3\"], function(d3){\n",
+ " console.log('Loading from require.js...')\n",
+ " window.d3 = d3;\n",
+ " require([\"topojson\"], function(topojson){\n",
+ " window.topojson = topojson;\n",
+ " load_all_libs();\n",
+ " });\n",
+ " });\n",
+ " };\n",
+ " }else{\n",
+ " console.log('Require.js not found, loading manually...')\n",
+ " load_all_libs();\n",
+ " };\n",
+ "\n",
+ " </script>"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.HTML object>"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "line = vincent.Line(price[['AAPL', 'IBM', 'YHOO', 'MSFT']], width=600, height=300)\n",
+ "line.axis_titles(x='Date', y='Price')\n",
+ "line.legend(title='Ticker')\n",
+ "display(line)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div id=\"vis47fdfca404f24684b44753131b44ed27\"></div>\n",
+ "<script>\n",
+ " ( function() {\n",
+ " var _do_plot = function() {\n",
+ " if (typeof vg === 'undefined') {\n",
+ " window.addEventListener('vincent_libs_loaded', _do_plot)\n",
+ " return;\n",
+ " }\n",
+ " vg.parse.spec({\"axes\": [{\"scale\": \"x\", \"title\": \"Date\", \"type\": \"x\"}, {\"scale\": \"y\", \"title\": \"Price\", \"type\": \"y\"}], \"data\": [{\"name\": \"table\", \"values\": [{\"col\": \"AAPL\", \"idx\": 1262592000000, \"val\": 205.7}, {\"col\": \"IBM\", \"idx\": 1262592000000, \"val\": 122.62}, {\"col\": \"YHOO\", \"idx\": 1262592000000, \"val\": 17.1}, {\"col\": \"MSFT\", \"idx\": 1262592000000, \"val\": 27.67}, {\"col\": \"AAPL\", \"idx\": 1262678400000, \"val\": 206.05}, {\"col\": \"IBM\", \"idx\": 1262678400000, \"val\": 121.14}, {\"col\": \"YHOO\", \"idx\": 1262678400000, \"val\": 17.23}, {\"col\": \"MSFT\", \"idx\": 1262678400000, \"val\": 27.68}, {\"col\": \"AAPL\", \"idx\": 1262764800000, \"val\": 202.77}, {\"col\": \"IBM\", \"idx\": 1262764800000, \"val\": 120.35}, {\"col\": \"YHOO\", \"idx\": 1262764800000, \"val\": 17.17}, {\"col\": \"MSFT\", \"idx\": 1262764800000, \"val\": 27.51}, {\"col\": \"AAPL\", \"idx\": 1262851200000, \"val\": 202.4}, {\"col\": 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+ " chart({el: \"#vis47fdfca404f24684b44753131b44ed27\"}).update();\n",
+ " });\n",
+ " };\n",
+ " _do_plot();\n",
+ " })();\n",
+ "</script>\n",
+ "<style>.vega canvas {width: 100%;}</style>\n",
+ " "
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<vincent.charts.Line at 0x10290f710>"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Trapezoid Rule.ipynb b/examples/IPython Kernel/Trapezoid Rule.ipynb
similarity index 100%
rename from examples/Notebook/Trapezoid Rule.ipynb
rename to examples/IPython Kernel/Trapezoid Rule.ipynb
diff --git a/examples/IPython Kernel/Working With External Code.ipynb b/examples/IPython Kernel/Working With External Code.ipynb
new file mode 100644
index 0000000..759a530
--- /dev/null
+++ b/examples/IPython Kernel/Working With External Code.ipynb
@@ -0,0 +1,184 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:4352d4e1c693d919ce40b29ecf5a536917160df68b19a85caccedb1ea7ad06e1"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Working With External Code"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The IPython Kernel makes it easy to incorporate external code from sources such as the internet or copy/paste. "
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Pasting code into cells"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can copy and paste code from other sources directly into cells. Pasting code with `>>>` prompts works as expected:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ ">>> the_world_is_flat = 1\n",
+ ">>> if the_world_is_flat:\n",
+ "... print(\"Be careful not to fall off!\")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Be careful not to fall off!\n"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "The %load magic"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The `%load` magic lets you load code from URLs or local files:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%load?"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%matplotlib inline"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%load http://matplotlib.org/mpl_examples/showcase/integral_demo.py"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "\"\"\"\n",
+ "Plot demonstrating the integral as the area under a curve.\n",
+ "\n",
+ "Although this is a simple example, it demonstrates some important tweaks:\n",
+ "\n",
+ " * A simple line plot with custom color and line width.\n",
+ " * A shaded region created using a Polygon patch.\n",
+ " * A text label with mathtext rendering.\n",
+ " * figtext calls to label the x- and y-axes.\n",
+ " * Use of axis spines to hide the top and right spines.\n",
+ " * Custom tick placement and labels.\n",
+ "\"\"\"\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.patches import Polygon\n",
+ "\n",
+ "\n",
+ "def func(x):\n",
+ " return (x - 3) * (x - 5) * (x - 7) + 85\n",
+ "\n",
+ "\n",
+ "a, b = 2, 9 # integral limits\n",
+ "x = np.linspace(0, 10)\n",
+ "y = func(x)\n",
+ "\n",
+ "fig, ax = plt.subplots()\n",
+ "plt.plot(x, y, 'r', linewidth=2)\n",
+ "plt.ylim(ymin=0)\n",
+ "\n",
+ "# Make the shaded region\n",
+ "ix = np.linspace(a, b)\n",
+ "iy = func(ix)\n",
+ "verts = [(a, 0)] + list(zip(ix, iy)) + [(b, 0)]\n",
+ "poly = Polygon(verts, facecolor='0.9', edgecolor='0.5')\n",
+ "ax.add_patch(poly)\n",
+ "\n",
+ "plt.text(0.5 * (a + b), 30, r\"$\\int_a^b f(x)\\mathrm{d}x$\",\n",
+ " horizontalalignment='center', fontsize=20)\n",
+ "\n",
+ "plt.figtext(0.9, 0.05, '$x$')\n",
+ "plt.figtext(0.1, 0.9, '$y$')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "\n",
+ "ax.set_xticks((a, b))\n",
+ "ax.set_xticklabels(('$a$', '$b$'))\n",
+ "ax.set_yticks([])\n",
+ "\n",
+ "plt.show()\n"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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+ "text": [
+ "<matplotlib.figure.Figure at 0x108604e50>"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/IPython Kernel/data/flare.json b/examples/IPython Kernel/data/flare.json
new file mode 100644
index 0000000..b976cd1
--- /dev/null
+++ b/examples/IPython Kernel/data/flare.json
@@ -0,0 +1,380 @@
+{
+ "name": "flare",
+ "children": [
+ {
+ "name": "analytics",
+ "children": [
+ {
+ "name": "cluster",
+ "children": [
+ {"name": "AgglomerativeCluster", "size": 3938},
+ {"name": "CommunityStructure", "size": 3812},
+ {"name": "HierarchicalCluster", "size": 6714},
+ {"name": "MergeEdge", "size": 743}
+ ]
+ },
+ {
+ "name": "graph",
+ "children": [
+ {"name": "BetweennessCentrality", "size": 3534},
+ {"name": "LinkDistance", "size": 5731},
+ {"name": "MaxFlowMinCut", "size": 7840},
+ {"name": "ShortestPaths", "size": 5914},
+ {"name": "SpanningTree", "size": 3416}
+ ]
+ },
+ {
+ "name": "optimization",
+ "children": [
+ {"name": "AspectRatioBanker", "size": 7074}
+ ]
+ }
+ ]
+ },
+ {
+ "name": "animate",
+ "children": [
+ {"name": "Easing", "size": 17010},
+ {"name": "FunctionSequence", "size": 5842},
+ {
+ "name": "interpolate",
+ "children": [
+ {"name": "ArrayInterpolator", "size": 1983},
+ {"name": "ColorInterpolator", "size": 2047},
+ {"name": "DateInterpolator", "size": 1375},
+ {"name": "Interpolator", "size": 8746},
+ {"name": "MatrixInterpolator", "size": 2202},
+ {"name": "NumberInterpolator", "size": 1382},
+ {"name": "ObjectInterpolator", "size": 1629},
+ {"name": "PointInterpolator", "size": 1675},
+ {"name": "RectangleInterpolator", "size": 2042}
+ ]
+ },
+ {"name": "ISchedulable", "size": 1041},
+ {"name": "Parallel", "size": 5176},
+ {"name": "Pause", "size": 449},
+ {"name": "Scheduler", "size": 5593},
+ {"name": "Sequence", "size": 5534},
+ {"name": "Transition", "size": 9201},
+ {"name": "Transitioner", "size": 19975},
+ {"name": "TransitionEvent", "size": 1116},
+ {"name": "Tween", "size": 6006}
+ ]
+ },
+ {
+ "name": "data",
+ "children": [
+ {
+ "name": "converters",
+ "children": [
+ {"name": "Converters", "size": 721},
+ {"name": "DelimitedTextConverter", "size": 4294},
+ {"name": "GraphMLConverter", "size": 9800},
+ {"name": "IDataConverter", "size": 1314},
+ {"name": "JSONConverter", "size": 2220}
+ ]
+ },
+ {"name": "DataField", "size": 1759},
+ {"name": "DataSchema", "size": 2165},
+ {"name": "DataSet", "size": 586},
+ {"name": "DataSource", "size": 3331},
+ {"name": "DataTable", "size": 772},
+ {"name": "DataUtil", "size": 3322}
+ ]
+ },
+ {
+ "name": "display",
+ "children": [
+ {"name": "DirtySprite", "size": 8833},
+ {"name": "LineSprite", "size": 1732},
+ {"name": "RectSprite", "size": 3623},
+ {"name": "TextSprite", "size": 10066}
+ ]
+ },
+ {
+ "name": "flex",
+ "children": [
+ {"name": "FlareVis", "size": 4116}
+ ]
+ },
+ {
+ "name": "physics",
+ "children": [
+ {"name": "DragForce", "size": 1082},
+ {"name": "GravityForce", "size": 1336},
+ {"name": "IForce", "size": 319},
+ {"name": "NBodyForce", "size": 10498},
+ {"name": "Particle", "size": 2822},
+ {"name": "Simulation", "size": 9983},
+ {"name": "Spring", "size": 2213},
+ {"name": "SpringForce", "size": 1681}
+ ]
+ },
+ {
+ "name": "query",
+ "children": [
+ {"name": "AggregateExpression", "size": 1616},
+ {"name": "And", "size": 1027},
+ {"name": "Arithmetic", "size": 3891},
+ {"name": "Average", "size": 891},
+ {"name": "BinaryExpression", "size": 2893},
+ {"name": "Comparison", "size": 5103},
+ {"name": "CompositeExpression", "size": 3677},
+ {"name": "Count", "size": 781},
+ {"name": "DateUtil", "size": 4141},
+ {"name": "Distinct", "size": 933},
+ {"name": "Expression", "size": 5130},
+ {"name": "ExpressionIterator", "size": 3617},
+ {"name": "Fn", "size": 3240},
+ {"name": "If", "size": 2732},
+ {"name": "IsA", "size": 2039},
+ {"name": "Literal", "size": 1214},
+ {"name": "Match", "size": 3748},
+ {"name": "Maximum", "size": 843},
+ {
+ "name": "methods",
+ "children": [
+ {"name": "add", "size": 593},
+ {"name": "and", "size": 330},
+ {"name": "average", "size": 287},
+ {"name": "count", "size": 277},
+ {"name": "distinct", "size": 292},
+ {"name": "div", "size": 595},
+ {"name": "eq", "size": 594},
+ {"name": "fn", "size": 460},
+ {"name": "gt", "size": 603},
+ {"name": "gte", "size": 625},
+ {"name": "iff", "size": 748},
+ {"name": "isa", "size": 461},
+ {"name": "lt", "size": 597},
+ {"name": "lte", "size": 619},
+ {"name": "max", "size": 283},
+ {"name": "min", "size": 283},
+ {"name": "mod", "size": 591},
+ {"name": "mul", "size": 603},
+ {"name": "neq", "size": 599},
+ {"name": "not", "size": 386},
+ {"name": "or", "size": 323},
+ {"name": "orderby", "size": 307},
+ {"name": "range", "size": 772},
+ {"name": "select", "size": 296},
+ {"name": "stddev", "size": 363},
+ {"name": "sub", "size": 600},
+ {"name": "sum", "size": 280},
+ {"name": "update", "size": 307},
+ {"name": "variance", "size": 335},
+ {"name": "where", "size": 299},
+ {"name": "xor", "size": 354},
+ {"name": "_", "size": 264}
+ ]
+ },
+ {"name": "Minimum", "size": 843},
+ {"name": "Not", "size": 1554},
+ {"name": "Or", "size": 970},
+ {"name": "Query", "size": 13896},
+ {"name": "Range", "size": 1594},
+ {"name": "StringUtil", "size": 4130},
+ {"name": "Sum", "size": 791},
+ {"name": "Variable", "size": 1124},
+ {"name": "Variance", "size": 1876},
+ {"name": "Xor", "size": 1101}
+ ]
+ },
+ {
+ "name": "scale",
+ "children": [
+ {"name": "IScaleMap", "size": 2105},
+ {"name": "LinearScale", "size": 1316},
+ {"name": "LogScale", "size": 3151},
+ {"name": "OrdinalScale", "size": 3770},
+ {"name": "QuantileScale", "size": 2435},
+ {"name": "QuantitativeScale", "size": 4839},
+ {"name": "RootScale", "size": 1756},
+ {"name": "Scale", "size": 4268},
+ {"name": "ScaleType", "size": 1821},
+ {"name": "TimeScale", "size": 5833}
+ ]
+ },
+ {
+ "name": "util",
+ "children": [
+ {"name": "Arrays", "size": 8258},
+ {"name": "Colors", "size": 10001},
+ {"name": "Dates", "size": 8217},
+ {"name": "Displays", "size": 12555},
+ {"name": "Filter", "size": 2324},
+ {"name": "Geometry", "size": 10993},
+ {
+ "name": "heap",
+ "children": [
+ {"name": "FibonacciHeap", "size": 9354},
+ {"name": "HeapNode", "size": 1233}
+ ]
+ },
+ {"name": "IEvaluable", "size": 335},
+ {"name": "IPredicate", "size": 383},
+ {"name": "IValueProxy", "size": 874},
+ {
+ "name": "math",
+ "children": [
+ {"name": "DenseMatrix", "size": 3165},
+ {"name": "IMatrix", "size": 2815},
+ {"name": "SparseMatrix", "size": 3366}
+ ]
+ },
+ {"name": "Maths", "size": 17705},
+ {"name": "Orientation", "size": 1486},
+ {
+ "name": "palette",
+ "children": [
+ {"name": "ColorPalette", "size": 6367},
+ {"name": "Palette", "size": 1229},
+ {"name": "ShapePalette", "size": 2059},
+ {"name": "SizePalette", "size": 2291}
+ ]
+ },
+ {"name": "Property", "size": 5559},
+ {"name": "Shapes", "size": 19118},
+ {"name": "Sort", "size": 6887},
+ {"name": "Stats", "size": 6557},
+ {"name": "Strings", "size": 22026}
+ ]
+ },
+ {
+ "name": "vis",
+ "children": [
+ {
+ "name": "axis",
+ "children": [
+ {"name": "Axes", "size": 1302},
+ {"name": "Axis", "size": 24593},
+ {"name": "AxisGridLine", "size": 652},
+ {"name": "AxisLabel", "size": 636},
+ {"name": "CartesianAxes", "size": 6703}
+ ]
+ },
+ {
+ "name": "controls",
+ "children": [
+ {"name": "AnchorControl", "size": 2138},
+ {"name": "ClickControl", "size": 3824},
+ {"name": "Control", "size": 1353},
+ {"name": "ControlList", "size": 4665},
+ {"name": "DragControl", "size": 2649},
+ {"name": "ExpandControl", "size": 2832},
+ {"name": "HoverControl", "size": 4896},
+ {"name": "IControl", "size": 763},
+ {"name": "PanZoomControl", "size": 5222},
+ {"name": "SelectionControl", "size": 7862},
+ {"name": "TooltipControl", "size": 8435}
+ ]
+ },
+ {
+ "name": "data",
+ "children": [
+ {"name": "Data", "size": 20544},
+ {"name": "DataList", "size": 19788},
+ {"name": "DataSprite", "size": 10349},
+ {"name": "EdgeSprite", "size": 3301},
+ {"name": "NodeSprite", "size": 19382},
+ {
+ "name": "render",
+ "children": [
+ {"name": "ArrowType", "size": 698},
+ {"name": "EdgeRenderer", "size": 5569},
+ {"name": "IRenderer", "size": 353},
+ {"name": "ShapeRenderer", "size": 2247}
+ ]
+ },
+ {"name": "ScaleBinding", "size": 11275},
+ {"name": "Tree", "size": 7147},
+ {"name": "TreeBuilder", "size": 9930}
+ ]
+ },
+ {
+ "name": "events",
+ "children": [
+ {"name": "DataEvent", "size": 2313},
+ {"name": "SelectionEvent", "size": 1880},
+ {"name": "TooltipEvent", "size": 1701},
+ {"name": "VisualizationEvent", "size": 1117}
+ ]
+ },
+ {
+ "name": "legend",
+ "children": [
+ {"name": "Legend", "size": 20859},
+ {"name": "LegendItem", "size": 4614},
+ {"name": "LegendRange", "size": 10530}
+ ]
+ },
+ {
+ "name": "operator",
+ "children": [
+ {
+ "name": "distortion",
+ "children": [
+ {"name": "BifocalDistortion", "size": 4461},
+ {"name": "Distortion", "size": 6314},
+ {"name": "FisheyeDistortion", "size": 3444}
+ ]
+ },
+ {
+ "name": "encoder",
+ "children": [
+ {"name": "ColorEncoder", "size": 3179},
+ {"name": "Encoder", "size": 4060},
+ {"name": "PropertyEncoder", "size": 4138},
+ {"name": "ShapeEncoder", "size": 1690},
+ {"name": "SizeEncoder", "size": 1830}
+ ]
+ },
+ {
+ "name": "filter",
+ "children": [
+ {"name": "FisheyeTreeFilter", "size": 5219},
+ {"name": "GraphDistanceFilter", "size": 3165},
+ {"name": "VisibilityFilter", "size": 3509}
+ ]
+ },
+ {"name": "IOperator", "size": 1286},
+ {
+ "name": "label",
+ "children": [
+ {"name": "Labeler", "size": 9956},
+ {"name": "RadialLabeler", "size": 3899},
+ {"name": "StackedAreaLabeler", "size": 3202}
+ ]
+ },
+ {
+ "name": "layout",
+ "children": [
+ {"name": "AxisLayout", "size": 6725},
+ {"name": "BundledEdgeRouter", "size": 3727},
+ {"name": "CircleLayout", "size": 9317},
+ {"name": "CirclePackingLayout", "size": 12003},
+ {"name": "DendrogramLayout", "size": 4853},
+ {"name": "ForceDirectedLayout", "size": 8411},
+ {"name": "IcicleTreeLayout", "size": 4864},
+ {"name": "IndentedTreeLayout", "size": 3174},
+ {"name": "Layout", "size": 7881},
+ {"name": "NodeLinkTreeLayout", "size": 12870},
+ {"name": "PieLayout", "size": 2728},
+ {"name": "RadialTreeLayout", "size": 12348},
+ {"name": "RandomLayout", "size": 870},
+ {"name": "StackedAreaLayout", "size": 9121},
+ {"name": "TreeMapLayout", "size": 9191}
+ ]
+ },
+ {"name": "Operator", "size": 2490},
+ {"name": "OperatorList", "size": 5248},
+ {"name": "OperatorSequence", "size": 4190},
+ {"name": "OperatorSwitch", "size": 2581},
+ {"name": "SortOperator", "size": 2023}
+ ]
+ },
+ {"name": "Visualization", "size": 16540}
+ ]
+ }
+ ]
+}
diff --git a/examples/Interactive Widgets/Custom Widget - Hello World.ipynb b/examples/Interactive Widgets/Custom Widget - Hello World.ipynb
new file mode 100644
index 0000000..183460b
--- /dev/null
+++ b/examples/Interactive Widgets/Custom Widget - Hello World.ipynb
@@ -0,0 +1,796 @@
+{
+ "metadata": {
+ "celltoolbar": "Slideshow",
+ "name": "",
+ "signature": "sha256:32ada55b57f8674a38435bae581b0f53caefd829dca5c5a7931ab3d04a7d86bb"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget Styling.ipynb)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from __future__ import print_function # For py 2.7 compat"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Building a Custom Widget"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The widget framework is built **on top of the Comm framework** (short for communication). The Comm framework is a framework that **allows you send/receive JSON messages** to/from the front-end (as seen below).\n",
+ "\n",
+ "\n",
+ "\n",
+ "To create a custom widget, you need to **define the widget both in the back-end and in the front-end**. "
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Building a Custom Widget"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To get started, you'll create a **simple hello world widget**. Later you'll build on this foundation to make more complex widgets."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Back-end (Python)"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "DOMWidget and Widget"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To define a widget, you must inherit from the **Widget or DOMWidget** base class. If you intend for your widget to be **displayed in the IPython notebook**, you'll need to **inherit from the DOMWidget**. The DOMWidget class itself inherits from the Widget class. The Widget class is useful for cases in which the **Widget is not meant to be displayed directly in the notebook**, but **instead as a child of another rendering environment**. For example, if you wanted to create a three.js widget (a popular WebGL library), you would implement the rendering window as a DOMWidget and any 3D objects or lights meant to be rendered in that window as Widgets."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "_view_name"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Inheriting from the DOMWidget does not tell the widget framework what front-end widget to associate with your back-end widget. Instead, you must tell it yourself by defining a **specially named Traitlet, `_view_name`** (as seen below)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.html import widgets\n",
+ "from IPython.utils.traitlets import Unicode\n",
+ "\n",
+ "class HelloWidget(widgets.DOMWidget):\n",
+ " _view_name = Unicode('HelloView', sync=True)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "sync=True traitlets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Traitlets is** an IPython library for defining **type-safe properties** on configurable objects. For this tutorial you do not need to worry about the *configurable* piece of the traitlets machinery. The **`sync=True` keyword argument** tells the widget framework to **handle synchronizing that value to the front-end**. Without `sync=True`, the front-end would have no knowledge of `_view_name`."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Other traitlet types"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Unicode, used for _view_name, is not the only Traitlet type, there are many more some of which are listed below: \n",
+ "\n",
+ "- Any\n",
+ "- Bool\n",
+ "- Bytes\n",
+ "- CBool\n",
+ "- CBytes\n",
+ "- CComplex\n",
+ "- CFloat\n",
+ "- CInt\n",
+ "- CLong\n",
+ "- CRegExp\n",
+ "- CUnicode\n",
+ "- CaselessStrEnum\n",
+ "- Complex\n",
+ "- Dict\n",
+ "- DottedObjectName\n",
+ "- Enum\n",
+ "- Float\n",
+ "- FunctionType\n",
+ "- Instance\n",
+ "- InstanceType\n",
+ "- Int\n",
+ "- List\n",
+ "- Long\n",
+ "- Set\n",
+ "- TCPAddress\n",
+ "- Tuple\n",
+ "- Type\n",
+ "- Unicode\n",
+ "\n",
+ "**Not all of these traitlets can be synchronized** across the network, **only the JSON-able** traits and **Widget instances** will be synchronized."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Front-end (JavaScript)"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Models and views"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The IPython widget framework front-end relies heavily on [Backbone.js](http://backbonejs.org/). **Backbone.js is an MVC (model view controller) framework**. Widgets defined in the back-end are automatically **synchronized with generic Backbone.js models** in the front-end. The traitlets are added to the front-end instance **automatically on first state push**. The **`_view_name` trait** that you defined earlier is used by the widget framework to create the corresponding Backbone.js view and **link that view to the model**."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Import the WidgetManager"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You first need to **import the WidgetManager**. You will use it later to register your view by name (the same name you used in the back-end). To import the widget manager, use the `require` method of [require.js](http://requirejs.org/) (as seen below)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){\n",
+ " \n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Define the view"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Next define your widget view class. **Inherit from the `DOMWidgetView`** by using the `.extend` method. Register the view class with the widget manager by calling **`.register_widget_view`**. The **first parameter is the widget view name** (`_view_name` that you defined earlier in Python) and the **second is a handle to the class type**."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){\n",
+ " \n",
+ " // Define the HelloView\n",
+ " var HelloView = IPython.DOMWidgetView.extend({\n",
+ " \n",
+ " });\n",
+ " \n",
+ " // Register the HelloView with the widget manager.\n",
+ " WidgetManager.register_widget_view('HelloView', HelloView);\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Render method"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Lastly, **override the base `render` method** of the view to define custom rendering logic. A handle to the widget's default div element can be acquired via **`this.$el`**. The `$el` property is a **[jQuery](http://jquery.com/) object handle** (which can be thought of as a supercharged version of the normal DOM element's handle)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){ \n",
+ " \n",
+ " var HelloView = IPython.DOMWidgetView.extend({\n",
+ " \n",
+ " // Render the view.\n",
+ " render: function(){ \n",
+ " this.$el.text('Hello World!'); \n",
+ " },\n",
+ " });\n",
+ " \n",
+ " WidgetManager.register_widget_view('HelloView', HelloView);\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Test"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You should be able to display your widget just like any other widget now."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "HelloWidget()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Making the widget stateful"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There is not much that you can do with the above example that you can't do with the IPython display framework. To change this, you will make the widget stateful. Instead of displaying a static \"hello world\" message, it will **display a string set by the back-end**. First you need to **add a traitlet in the back-end**. Use the name of **`value` to stay consistent** with the rest of the widget framework and to **allow your widget to be used with interact**."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "class HelloWidget(widgets.DOMWidget):\n",
+ " _view_name = Unicode('HelloView', sync=True)\n",
+ " value = Unicode('Hello World!', sync=True)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Accessing the model from the view"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To access the model associate with a view instance, use the **`model` property** of the view. **`get` and `set`** methods are used to interact with the Backbone model. **`get` is trivial**, however you have to **be careful when using `set`**. **After calling the model `set`** you need call the **view's `touch` method**. This associates the `set` operation with a particular view so **output will be routed to the correct cell**. The model also has a **`on` method** which allows you to listen to events triggered by the model (like value changes)."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Rendering model contents"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "By **replacing the string literal with a call to `model.get`**, the view will now display the **value of the back-end upon display**. However, it will not update itself to a new value when the value changes."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){ \n",
+ " \n",
+ " var HelloView = IPython.DOMWidgetView.extend({\n",
+ " \n",
+ " render: function(){ \n",
+ " this.$el.text(this.model.get('value')); \n",
+ " },\n",
+ " });\n",
+ " \n",
+ " WidgetManager.register_widget_view('HelloView', HelloView);\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Dynamic updates"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To get the view to **update itself dynamically**, register a function to update the view's value when the model's `value` property changes. This can be done using the **`model.on` method**. The `on` method takes three parameters, an event name, callback handle, and callback context. The Backbone **event named `change`** will fire whenever the model changes. By **appending `:value`** to it, you tell Backbone to only listen to the change event of the `value` property (as seen below)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){ \n",
+ " \n",
+ " var HelloView = IPython.DOMWidgetView.extend({\n",
+ " \n",
+ " \n",
+ " render: function(){ \n",
+ " this.value_changed();\n",
+ " this.model.on('change:value', this.value_changed, this);\n",
+ " },\n",
+ " \n",
+ " value_changed: function() {\n",
+ " this.$el.text(this.model.get('value')); \n",
+ " },\n",
+ " });\n",
+ " \n",
+ " WidgetManager.register_widget_view('HelloView', HelloView);\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Test"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w = HelloWidget()\n",
+ "w"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.value = 'test'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Finishing"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Bidirectional communication"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The examples above dump the value directly into the DOM. There is no way for you to interact with this dumped data in the front-end. To create an example that **accepts input**, you will have to do something more than blindly dumping the contents of value into the DOM. In this part of the tutorial, you will **use a jQuery spinner** to display and accept input in the front-end. IPython currently lacks a spinner implementation so this widget will be unique."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Update the Python code"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You will need to change the type of the **value traitlet to `Int`**. It also makes sense to **change the name of the widget** to something more appropriate, like `SpinnerWidget`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.utils.traitlets import CInt\n",
+ "class SpinnerWidget(widgets.DOMWidget):\n",
+ " _view_name = Unicode('SpinnerView', sync=True)\n",
+ " value = CInt(0, sync=True)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Updating the Javascript code"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The [jQuery docs for the spinner control](https://jqueryui.com/spinner/) say to use **`.spinner` to create a spinner** in an element. Calling **`.spinner` on `$el` will create a spinner inside `$el`**. Make sure to **update the widget name here too** so it's the same as `_view_name` in the back-end."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){ \n",
+ " \n",
+ " var SpinnerView = IPython.DOMWidgetView.extend({\n",
+ " \n",
+ " render: function(){ \n",
+ " \n",
+ " // jQuery code to create a spinner and append it to $el\n",
+ " this.$input = $('<input />');\n",
+ " this.$el.append(this.$input);\n",
+ " this.$spinner = this.$input.spinner({\n",
+ " change: function( event, ui ) {}\n",
+ " });\n",
+ " \n",
+ " this.value_changed();\n",
+ " this.model.on('change:value', this.value_changed, this);\n",
+ " },\n",
+ " \n",
+ " value_changed: function() {\n",
+ " \n",
+ " },\n",
+ " });\n",
+ " \n",
+ " WidgetManager.register_widget_view('SpinnerView', SpinnerView);\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Getting and setting the value"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To **set the value of the spinner on update from the back-end**, you need to use **jQuery's `spinner` API**. `spinner.spinner('value', new)` will set the value of the spinner. Add that code to the **`value_changed` method** to make the spinner **update with the value stored in the back-end((. Using jQuery's spinner API, you can add a function to handle the **spinner `change` event** by passing it in when constructing the spinner. Inside the `change` event, call **`model.set`** to set the value and then **`touch`** to inform the framework that this view was the view that caused the change to the model. **Note: The `var that = this;` is a JavaScript trick to pass the current context into closures.**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "require([\"widgets/js/widget\"], function(WidgetManager){ \n",
+ " \n",
+ " var SpinnerView = IPython.DOMWidgetView.extend({\n",
+ " \n",
+ " render: function(){ \n",
+ "\n",
+ " var that = this;\n",
+ " this.$input = $('<input />');\n",
+ " this.$el.append(this.$input);\n",
+ " this.$spinner = this.$input.spinner({\n",
+ " change: function( event, ui ) {\n",
+ " that.handle_spin();\n",
+ " },\n",
+ " spin: function( event, ui ) {\n",
+ " that.handle_spin();\n",
+ " }\n",
+ " });\n",
+ " \n",
+ " this.value_changed();\n",
+ " this.model.on('change:value', this.value_changed, this);\n",
+ " },\n",
+ " \n",
+ " value_changed: function() {\n",
+ " this.$spinner.spinner('value', this.model.get('value'));\n",
+ " },\n",
+ " \n",
+ " handle_spin: function() {\n",
+ " this.model.set('value', this.$spinner.spinner('value'));\n",
+ " this.touch();\n",
+ " },\n",
+ " });\n",
+ " \n",
+ " WidgetManager.register_widget_view('SpinnerView', SpinnerView);\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Test"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w = SpinnerWidget(value=5)\n",
+ "w"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.value"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.value = 20"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Trying to **use the spinner with another widget**."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display\n",
+ "w1 = SpinnerWidget(value=0)\n",
+ "w2 = widgets.IntSliderWidget()\n",
+ "display(w1,w2)\n",
+ "\n",
+ "from IPython.utils.traitlets import link\n",
+ "mylink = link((w1, 'value'), (w2, 'value'))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget Styling.ipynb)"
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Interactive Widgets/Custom Widget - Spreadsheet.ipynb b/examples/Interactive Widgets/Custom Widget - Spreadsheet.ipynb
new file mode 100644
index 0000000..174dd8a
--- /dev/null
+++ b/examples/Interactive Widgets/Custom Widget - Spreadsheet.ipynb
@@ -0,0 +1,9 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:5903dc233e1e808f437849d1994d112e812ee45031ac6083c58808e268f34951"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": []
+}
\ No newline at end of file
diff --git a/examples/Interactive Widgets/Custom Widgets.ipynb b/examples/Interactive Widgets/Date Picker Widget.ipynb
similarity index 100%
rename from examples/Interactive Widgets/Custom Widgets.ipynb
rename to examples/Interactive Widgets/Date Picker Widget.ipynb
diff --git a/examples/Interactive Widgets/Using Interact.ipynb b/examples/Interactive Widgets/Using Interact.ipynb
index 7190534..e6312f8 100644
--- a/examples/Interactive Widgets/Using Interact.ipynb
+++ b/examples/Interactive Widgets/Using Interact.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:3f30c6e839ac39f890da34a2af6bf50bf0d99ea32f7aadc043f3e31f619e4bc9"
+ "signature": "sha256:6d8c7c51322c4911e478068e8fa8e897bd72c614096f5df110ed86d01d66001c"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -13,14 +13,14 @@
"level": 1,
"metadata": {},
"source": [
- "Interact"
+ "Using Interact"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `interact` function provides a high-level interface for creating user interface controls to use in exploring code and data interactively."
+ "The `interact` function (`IPython.html.widgets.interact`) automatically creates user interface (UI) controls for exploring code and data interactively. It is the easiest way to get started using IPython's widgets."
]
},
{
@@ -28,8 +28,7 @@
"collapsed": false,
"input": [
"from IPython.html.widgets import interact, interactive, fixed\n",
- "from IPython.html import widgets\n",
- "from IPython.display import clear_output, display, HTML"
+ "from IPython.html import widgets"
],
"language": "python",
"metadata": {},
@@ -37,30 +36,35 @@
"prompt_number": 1
},
{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"alert alert-success\">\n",
+ "As of IPython 2.0, the widgets in this notebook won't show up on http://nbviewer.ipython.org. To view the widgets and interact with them, you will need to download this notebook and run it with an IPython Notebook server.\n",
+ "</div>"
+ ]
+ },
+ {
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
- "Basic interact"
+ "Basic `interact`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here is a simple function that displays its arguments as an HTML table:"
+ "At the most basic level, `interact` autogenerates UI controls for function arguments, and then calls the function with those arguments when you manipulate the controls interactively. To use `interact`, you need to define a function that you want to explore. Here is a function that prints its only argument `x`."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "def show_args(**kwargs):\n",
- " s = '<h3>Arguments:</h3><table>\\n'\n",
- " for k,v in kwargs.items():\n",
- " s += '<tr><td>{0}</td><td>{1}</td></tr>\\n'.format(k,v)\n",
- " s += '</table>'\n",
- " display(HTML(s))"
+ "def f(x):\n",
+ " print x"
],
"language": "python",
"metadata": {},
@@ -68,26 +72,26 @@
"prompt_number": 2
},
{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When you pass this function as the first argument to `interact` along with an integer keyword argument (`x=10`), a slider is generated and bound to the function."
+ ]
+ },
+ {
"cell_type": "code",
"collapsed": false,
"input": [
- "show_args(a=10, b='Hi There', c=True)"
+ "interact(f, x=10);"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<h3>Arguments:</h3><table>\n",
- "<tr><td>a</td><td>10</td></tr>\n",
- "<tr><td>c</td><td>True</td></tr>\n",
- "<tr><td>b</td><td>Hi There</td></tr>\n",
- "</table>"
- ],
- "metadata": {},
- "output_type": "display_data",
+ "output_type": "stream",
+ "stream": "stdout",
"text": [
- "<IPython.core.display.HTML object>"
+ "9\n"
]
}
],
@@ -97,71 +101,667 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's use this function to explore how `interact` works."
+ "When you move the slider, the function is called and the current value of `x` is printed.\n",
+ "\n",
+ "If you pass `True` or `False`, `interact` will generate a checkbox:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "i = interact(show_args,\n",
- " Temp=(0,10),\n",
- " Current=(0.,10.,0.01),\n",
- " z=True,\n",
- " Text=u'Type here!',\n",
- " #Algorithm=['This','That','Other'],\n",
- " a=widgets.FloatSliderWidget(min=-10.0, max=10.0, step=0.1, value=5.0, description=\"Float (a)\")\n",
- " )"
+ "interact(f, x=True);"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<h3>Arguments:</h3><table>\n",
- "<tr><td>Current</td><td>4.99</td></tr>\n",
- "<tr><td>Text</td><td>Type here!</td></tr>\n",
- "<tr><td>z</td><td>True</td></tr>\n",
- "<tr><td>Temp</td><td>5</td></tr>\n",
- "<tr><td>Float (a)</td><td>5.0</td></tr>\n",
- "</table>"
- ],
- "metadata": {},
- "output_type": "display_data",
+ "output_type": "stream",
+ "stream": "stdout",
"text": [
- "<IPython.core.display.HTML object>"
+ "True\n"
]
}
],
"prompt_number": 4
},
{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you pass a string, `interact` will generate a text area."
+ ]
+ },
+ {
"cell_type": "code",
"collapsed": false,
"input": [
- "i.widget"
+ "interact(f, x='Hi there!');"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<h3>Arguments:</h3><table>\n",
- "<tr><td>Current</td><td>4.99</td></tr>\n",
- "<tr><td>Text</td><td>Type here!</td></tr>\n",
- "<tr><td>z</td><td>True</td></tr>\n",
- "<tr><td>Temp</td><td>5</td></tr>\n",
- "<tr><td>Float (a)</td><td>5.0</td></tr>\n",
- "</table>"
- ],
- "metadata": {},
- "output_type": "display_data",
+ "output_type": "stream",
+ "stream": "stdout",
"text": [
- "<IPython.core.display.HTML object>"
+ "Hi there!\n"
]
}
],
"prompt_number": 5
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`interact` can also be used as a decorator. This allows you to define a function and interact with it in a single shot. As this example shows, `interact` also works with functions that have multiple arguments."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "@interact(x=True, y=1.0)\n",
+ "def g(x, y):\n",
+ " print x, y"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "True 1.0\n"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Fixing arguments using `fixed`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are times when you may want to explore a function using `interact`, but fix one or more of its arguments to specific values. This can be accomplished by wrapping values with the `fixed` function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def h(p, q):\n",
+ " print p, q"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When we call `interact`, we pass `fixed(20)` for q to hold it fixed at a value of `20`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(h, p=5, q=fixed(20));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "5 20\n"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Notice that a slider is only produced for `p` as the value of `q` is fixed."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Widget abbreviations"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When you pass an integer valued keyword argument (`x=10`) to `interact`, it generates an integer valued slider control with a range of $[-10,+3\\times10]$. In this case `10` is an *abbreviation* for an actual slider widget:\n",
+ "\n",
+ "```python\n",
+ "IntSliderWidget(min=-10,max=30,step=1,value=10)\n",
+ "```\n",
+ "\n",
+ "In fact, we can get the same result if we pass this `IntSliderWidget` as the keyword argument for `x`:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x=widgets.IntSliderWidget(min=-10,max=30,step=1,value=10));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "10\n"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This examples clarifies how `interact` proceses its keyword arguments:\n",
+ "\n",
+ "1. If the keyword argument is `Widget` instance with a `value` attribute, that widget is used. Any widget with a `value` attribute can be used, even custom ones.\n",
+ "2. Otherwise, the value is treated as a *widget abbreviation* that is converted to a widget before it is used.\n",
+ "\n",
+ "The following table gives an overview of different widget abbreviations:\n",
+ "\n",
+ "<table class=\"table table-condensed table-bordered\">\n",
+ " <tr><td><strong>Keyword argument</strong></td><td><strong>Widget</strong></td></tr> \n",
+ " <tr><td>`True` or `False`</td><td>CheckboxWiget</td></tr> \n",
+ " <tr><td>`'Hi there'`</td><td>TextareaWidget</td></tr>\n",
+ " <tr><td>`value` or `(min,max)` or `(min,max,step)` if integers are passed</td><td>IntSliderWidget</td></tr>\n",
+ " <tr><td>`value` or `(min,max)` or `(min,max,step)` if floats are passed</td><td>FloatSliderWidget</td></tr>\n",
+ " <tr><td>`('orange','apple')` or `{'one':1,'two':2}`</td><td>DropdownWidget</td></tr>\n",
+ "</table>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You have seen how the checkbox and textarea widgets work above. Here, more details about the different abbreviations for sliders and dropdowns are given.\n",
+ "\n",
+ "If a 2-tuple of integers is passed `(min,max)` a integer valued slider is produced with those minimum and maximum (inclusive) values. In this case, the default step size of `1` is used."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x=(0,4));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "2\n"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If a 3-tuple of integers is passed `(min,max,step)` the step size can also be set."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x=(0,8,2));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "4\n"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "A float valued slider is produced if the elements of the tuples are floats. Here the minimum is `0.0`, the maximum is `10.0` and step size is `0.1` (the default)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x=(0.0,10.0));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "5.0\n"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The step size can be changed by passing a 3rd element in the tuple."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x=(0.0,10.0,0.01));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "4.99\n"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "For both integer and float valued sliders, you can pick the initial value of the widget by passing a default keyword argument to the underlying Python function. Here we set the initial value of a float slider to `5.5`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "@interact(x=(0.0,20.0,0.5))\n",
+ "def h(x=5.5):\n",
+ " print x"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "5.5\n"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Dropdown menus can be produced by passing a tuple of strings. In this case, the strings are both used as the names in the dropdown menu UI and passed to the underlying Python function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x=('apples','oranges'));"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "apples\n"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you want a dropdown menu that passes non-string values to the Python function, you can pass a dictionary. The keys in the dictionary are used for the names in the dropdown menu UI and the values are the arguments that are passed to the underlying Python function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f, x={'one': 10, 'two': 20});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "20\n"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Using function annotations with `interact`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you are using Python 3, you can also specify widget abbreviations using [function annotations](https://docs.python.org/3/tutorial/controlflow.html#function-annotations). This is a convenient approach allows the widget abbreviations to be defined with a function.\n",
+ "\n",
+ "Define a function with an checkbox widget abbreviation for the argument `x`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def f(x:True):\n",
+ " print x"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Then, because the widget abbreviation has already been defined, you can call `interact` with a single argument."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f);"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you are running Python 2, function annotations can be defined using the `@annotate` function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.utils.py3compat import annotate"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 50
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "@annotate(x=True)\n",
+ "def f(x):\n",
+ " print x"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 51
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "interact(f);"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "True\n"
+ ]
+ }
+ ],
+ "prompt_number": 52
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "`interactive`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In addition to `interact` IPython provides another function, `interactive`, that is useful when you want to reuse the widget that are produced or access the data that is bound to the UI controls."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here is a function that returns the sum of its two arguments."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def f(a, b):\n",
+ " return a+b"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Unlike `interact`, `interactive` returns a `Widget` instance rather than immediately displaying the widget."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w = interactive(f, a=10, b=20)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The widget is a `ContainerWidget`, which is a container for other widgets."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "type(w)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 20,
+ "text": [
+ "IPython.html.widgets.widget_container.ContainerWidget"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The children of the `ContainerWidget` are two integer valued sliders produced by the widget abbreviations above."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.children"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 21,
+ "text": [
+ "(<IPython.html.widgets.widget_int.IntSliderWidget at 0x10557ee90>,\n",
+ " <IPython.html.widgets.widget_int.IntSliderWidget at 0x10616ebd0>)"
+ ]
+ }
+ ],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To actually display the widgets, you can use IPython's `display` function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display\n",
+ "display(w)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 22
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "At this point, the UI controls work just like they would if `interact` had been used. You can manipulate them interactively and the function will be called. However, the widget instance returned by `interactive` also give you access to the current keyword arguments and return value of the underlying Python function.\n",
+ "\n",
+ "Here are the current keyword arguments. If you rerun this cell after manipulating the sliders, the values will have changed."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.kwargs"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 23,
+ "text": [
+ "{u'a': 10, u'b': 20}"
+ ]
+ }
+ ],
+ "prompt_number": 23
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here is the current return value of the function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.result"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 24,
+ "text": [
+ "30"
+ ]
+ }
+ ],
+ "prompt_number": 24
}
],
"metadata": {}
diff --git a/examples/Interactive Widgets/Widget Alignment.ipynb b/examples/Interactive Widgets/Widget Alignment.ipynb
deleted file mode 100644
index a25699e..0000000
--- a/examples/Interactive Widgets/Widget Alignment.ipynb
+++ /dev/null
@@ -1,335 +0,0 @@
-{
- "metadata": {
- "cell_tags": [
- [
- "<None>",
- null
- ]
- ],
- "name": "",
- "signature": "sha256:19f2a57c9ac75d472a9e403515009613fac3fbc733219f7fd4f39a0616ca619f"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
- {
- "cells": [
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.html import widgets # Widget definitions\n",
- "from IPython.display import display # Used to display widgets in the notebook"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 1
- },
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Alignment"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Most widgets have a `description` attribute, which allows a label for the widget to be defined.\n",
- "The label of the widget has a fixed minimum width.\n",
- "The text of the label is always right aligned and the widget is left aligned:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "display(widgets.TextWidget(description=\"a:\"))\n",
- "display(widgets.TextWidget(description=\"aa:\"))\n",
- "display(widgets.TextWidget(description=\"aaa:\"))"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 2
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "If a label is longer than the minimum width, the widget is shifted to the right:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "display(widgets.TextWidget(description=\"a:\"))\n",
- "display(widgets.TextWidget(description=\"aa:\"))\n",
- "display(widgets.TextWidget(description=\"aaa:\"))\n",
- "display(widgets.TextWidget(description=\"aaaaaaaaaaaaaaaaaa:\"))"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 3
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "If a `description` is not set for the widget, the label is not displayed:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "display(widgets.TextWidget(description=\"a:\"))\n",
- "display(widgets.TextWidget(description=\"aa:\"))\n",
- "display(widgets.TextWidget(description=\"aaa:\"))\n",
- "display(widgets.TextWidget())"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 4
- },
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Custom Alignment"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "`ContainerWidget`s allow for custom alignment of widgets.\n",
- "The `hbox` and `vbox` CSS classes cause the `ContainerWidget` to horizontally or vertically align its children."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "child_style = {\n",
- " 'background': '#77CC77',\n",
- " 'padding': '25px',\n",
- " 'margin': '5px',\n",
- " 'font-size': 'xx-large',\n",
- " 'color': 'white',\n",
- "}\n",
- "\n",
- "def make_container(title):\n",
- " header = widgets.LatexWidget(value=title) \n",
- " display(header)\n",
- " header.set_css({\n",
- " 'font-size': '30pt',\n",
- " 'margin-top': '40pt',\n",
- " 'margin-bottom': '20pt',\n",
- " })\n",
- " \n",
- " container = widgets.ContainerWidget()\n",
- " container.set_css({\n",
- " 'background': '#999999',\n",
- " 'width': '100%',\n",
- " })\n",
- " display(container)\n",
- " return container\n",
- "\n",
- "def fill_container(container):\n",
- " components = []\n",
- " for i in range(3):\n",
- " components.append(widgets.LatexWidget(value=\"ABC\"[i]))\n",
- " components[i].set_css(child_style)\n",
- " container.children = components\n",
- " \n",
- "container = make_container('VBox')\n",
- "container.add_class('vbox')\n",
- "fill_container(container)\n",
- "\n",
- "container = make_container('HBox')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container)\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 5
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The `start`, `center`, and `end` classes adjust the alignment of the widgets on the axis where they are being rendered.\n",
- "Below is an example of the different alignments."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "container = make_container('HBox Pack Start')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "container.add_class('start')\n",
- "fill_container(container)\n",
- " \n",
- "container = make_container('HBox Pack Center')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "container.add_class('center')\n",
- "fill_container(container)\n",
- " \n",
- "container = make_container('HBox Pack End')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "container.add_class('end')\n",
- "fill_container(container)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 6
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The `box-flex0`, `box-flex1`, and `box-flex2` DOM classes modify the container's flexibility. Changing a container flexibility affects how and if the container will occupy the remaining space. Applying `box-flex0` has the same result as not applying flex. Below is an example of different flex configurations. The number on the boxes correspond to the applied flex."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "def fill_container(container, flexes):\n",
- " components = []\n",
- " for i in range(len(flexes)):\n",
- " components.append(widgets.ContainerWidget())\n",
- " components[i].set_css(child_style)\n",
- " \n",
- " label = widgets.LatexWidget(value=str(flexes[i]))\n",
- " components[i].children = [label]\n",
- " container.children = components\n",
- " \n",
- " for i in range(len(flexes)):\n",
- " if flexes[i] == 0:\n",
- " components[i].add_class('box-flex0')\n",
- " elif flexes[i] == 1:\n",
- " components[i].add_class('box-flex1')\n",
- " elif flexes[i] == 2:\n",
- " components[i].add_class('box-flex2')\n",
- " \n",
- "container = make_container('Different Flex Configurations')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container, [0, 0, 0])\n",
- " \n",
- "container = make_container('')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container, [0, 0, 1])\n",
- " \n",
- "container = make_container('')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container, [0, 1, 1])\n",
- " \n",
- "container = make_container('')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container, [0, 2, 2])\n",
- " \n",
- "container = make_container('')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container, [0, 1, 2])\n",
- " \n",
- "container = make_container('')\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')\n",
- "fill_container(container, [1, 1, 2])"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 7
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The `align_start`, `align_center`, and `align_end` DOM classes adjust the alignment of the widgets on the axis perpindicular to the one that they are being rendered on. Below is an example of the different alignments."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "def fill_container(container):\n",
- " components = []\n",
- " for i in range(3):\n",
- " components.append(widgets.LatexWidget(parent=container, value=\"ABC\"[i]))\n",
- " components[i].set_css(child_style)\n",
- " components[i].set_css('height', str((i+1) * 50) + 'px')\n",
- " container.children = components\n",
- "\n",
- "container = make_container('HBox Align Start')\n",
- "container.remove_class('vbox')\n",
- "container.add_class(\"hbox\")\n",
- "container.add_class(\"align-start\")\n",
- "fill_container(container)\n",
- " \n",
- "container = make_container('HBox Align Center')\n",
- "container.remove_class('vbox')\n",
- "container.add_class(\"hbox\")\n",
- "container.add_class(\"align-center\")\n",
- "fill_container(container)\n",
- " \n",
- "container = make_container('HBox Align End')\n",
- "container.remove_class('vbox')\n",
- "container.add_class(\"hbox\")\n",
- "container.add_class(\"align-end\")\n",
- "fill_container(container)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 8
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "By default the widget area is a `vbox`; however, there are many uses for a `hbox`. The example below uses a `hbox` to display a set of vertical sliders, like an equalizer."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "container = widgets.ContainerWidget()\n",
- "container.children=[widgets.FloatSliderWidget(orientation='vertical', description=str(i+1), value=50.0) \n",
- " for i in range(15)]\n",
- "display(container)\n",
- "container.remove_class('vbox')\n",
- "container.add_class('hbox')"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 9
- }
- ],
- "metadata": {}
- }
- ]
-}
\ No newline at end of file
diff --git a/examples/Interactive Widgets/Widget Basics.ipynb b/examples/Interactive Widgets/Widget Basics.ipynb
index d39b375..e54d181 100644
--- a/examples/Interactive Widgets/Widget Basics.ipynb
+++ b/examples/Interactive Widgets/Widget Basics.ipynb
@@ -1,13 +1,8 @@
{
"metadata": {
- "cell_tags": [
- [
- "<None>",
- null
- ]
- ],
+ "celltoolbar": "Slideshow",
"name": "",
- "signature": "sha256:5ac3a85c8bb2f9bb3cd63b524bbb626ab1531176b43a109d13f5d7794f805eee"
+ "signature": "sha256:916b80c91b959f78d7e5a9d5c9c7d371d3aa2b4476fdb19a7cb5cf9666d68d5b"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -18,319 +13,422 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "To use IPython widgets in the notebook, the widget namespace needs to be imported."
+ "[Index](Index.ipynb) - [Next](Widget List.ipynb)"
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.html import widgets # Widget definitions\n",
- "from IPython.display import display # Used to display widgets in the notebook"
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 1,
"metadata": {},
- "outputs": [],
- "prompt_number": 2
+ "source": [
+ "Simple Widget Introduction"
+ ]
},
{
"cell_type": "heading",
- "level": 1,
+ "level": 2,
"metadata": {},
"source": [
- "Basic Widgets"
+ "What are widgets?"
]
},
{
"cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
"source": [
- "IPython comes with basic widgets that represent common interactive controls. These widgets are\n",
- "\n",
- "- CheckboxWidget\n",
- "- ToggleButtonWidget\n",
- "- FloatSliderWidget\n",
- "- BoundedFloatTextWidget\n",
- "- FloatProgressWidget\n",
- "- FloatTextWidget\n",
- "- ImageWidget\n",
- "- IntSliderWidget\n",
- "- BoundedIntTextWidget\n",
- "- IntProgressWidget\n",
- "- IntTextWidget\n",
- "- ToggleButtonsWidget\n",
- "- RadioButtonsWidget\n",
- "- DropdownWidget\n",
- "- SelectWidget\n",
- "- HTMLWidget\n",
- "- LatexWidget\n",
- "- TextareaWidget\n",
- "- TextWidget\n",
- "- ButtonWidget\n",
- "\n",
- "A few special widgets are also included, that can be used to capture events and change how other widgets are displayed. These widgets are\n",
- "\n",
- "- ContainerWidget\n",
- "- PopupWidget\n",
- "- AccordionWidget\n",
- "- TabWidget\n",
+ "Widgets are elements that exists in both the front-end and the back-end.\n",
"\n",
- "To see the complete list of widgets, one can execute the following"
+ ""
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "What can they be used for?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "You can use widgets to build **interactive GUIs** for your notebooks. \n",
+ "You can also use widgets to **synchronize stateful and stateless information** between Python and JavaScript."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Using widgets "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "To use the widget framework, you need to **import `IPython.html.widgets`**."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "[widget for widget in dir(widgets) if widget.endswith('Widget')]"
+ "from IPython.html.widgets import *"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 2,
- "text": [
- "['AccordionWidget',\n",
- " 'BoundedFloatTextWidget',\n",
- " 'BoundedIntTextWidget',\n",
- " 'ButtonWidget',\n",
- " 'CheckboxWidget',\n",
- " 'ContainerWidget',\n",
- " 'DOMWidget',\n",
- " 'DropdownWidget',\n",
- " 'FloatProgressWidget',\n",
- " 'FloatSliderWidget',\n",
- " 'FloatTextWidget',\n",
- " 'HTMLWidget',\n",
- " 'ImageWidget',\n",
- " 'IntProgressWidget',\n",
- " 'IntSliderWidget',\n",
- " 'IntTextWidget',\n",
- " 'LatexWidget',\n",
- " 'PopupWidget',\n",
- " 'RadioButtonsWidget',\n",
- " 'SelectWidget',\n",
- " 'TabWidget',\n",
- " 'TextWidget',\n",
- " 'TextareaWidget',\n",
- " 'ToggleButtonWidget',\n",
- " 'ToggleButtonsWidget',\n",
- " 'Widget']"
- ]
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
}
- ],
- "prompt_number": 2
+ },
+ "source": [
+ "repr"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The basic widgets all have sensible default values. Create a *FloatSliderWidget* without displaying it:"
+ "Widgets have their own display `repr` which allows them to be displayed using IPython's display framework. Constructing and returning an `IntSliderWidget` automatically displays the widget (as seen below). Widgets are **displayed inside the `widget area`**, which sits between the code cell and output. **You can hide all of the widgets** in the `widget area` by clicking the grey *x* in the margin."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mywidget = widgets.FloatSliderWidget()"
+ "IntSliderWidget()"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 3
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "display()"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Constructing a widget does not display it on the page. To display a widget, the widget must be passed to the IPython `display(object)` method or must be returned as the last item in the cell. `mywidget` is displayed by"
+ "You can also explicitly display the widget using `display(...)`."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "display(mywidget)"
+ "from IPython.display import display\n",
+ "w = IntSliderWidget()\n",
+ "display(w)"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 4
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Multiple display() calls"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "or"
+ "If you display the same widget twice, the displayed instances in the front-end **will remain in sync** with each other."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mywidget"
+ "display(w)"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 5
+ "outputs": []
},
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
"source": [
- "It's important to realize that widgets are not the same as output, even though they are displayed with `display`. Widgets are drawn in a special widget area. That area is marked with a close button which allows you to collapse the widgets. Widgets cannot be interleaved with output. Doing so would break the ability to make simple animations using `clear_output`.\n",
+ "Why does displaying the same widget twice work?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Widgets are **represented in the back-end by a single object**. Each time a widget is displayed, **a new representation** of that same object is created in the front-end. These representations are called **views**.\n",
"\n",
- "Widgets are manipulated via special instance attributes (traitlets). The names of these traitlets are listed in the widget's `keys` attribute (as seen below). A few of these attributes are common to most widgets. The basic attributes are `value`, `description`, `visible`, and `disabled`. `_css` and `_view_name` are private attributes that exist in all widgets and should not be modified."
+ ""
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Closing widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can close a widget by calling its `close()` method."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mywidget.keys"
+ "display(w)"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 6,
- "text": [
- "['_view_name',\n",
- " 'orientation',\n",
- " 'min',\n",
- " 'max',\n",
- " '_css',\n",
- " 'value',\n",
- " 'disabled',\n",
- " 'visible',\n",
- " 'step',\n",
- " 'description']"
- ]
- }
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.close()"
],
- "prompt_number": 6
+ "language": "python",
+ "metadata": {},
+ "outputs": []
},
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
"source": [
- "Changing a widget's attribute will automatically update that widget everywhere it is displayed in the notebook. Here, the `value` attribute of `mywidget` is set. The slider shown above updates automatically with the new value. Syncing also works in the other direction - changing the value of the displayed widget will update the property's value."
+ "Widget properties"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "All of the IPython widgets **share a similar naming scheme**. To read the value of a widget, you can query its `value` property."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mywidget.value = 25.0"
+ "w = IntSliderWidget()\n",
+ "display(w)"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 7
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.value"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "After changing the widget's value in the notebook by hand to 0.0 (sliding the bar to the far left)."
+ "Similarly, to set a widget's value, you can set its `value` property."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mywidget.value"
+ "w.value = 100"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 8,
- "text": [
- "25.0"
- ]
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
}
- ],
- "prompt_number": 8
+ },
+ "source": [
+ "Keys"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Widget values can also be set with kwargs during the construction of the widget (as seen below)."
+ "In addition to `value`, most widgets share `keys`, `description`, `disabled`, and `visible`. To see the entire list of synchronized, stateful properties, of any specific widget, you can **query the `keys` property**."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mysecondwidget = widgets.RadioButtonsWidget(values=[\"Item A\", \"Item B\", \"Item C\"], value=\"Item A\")\n",
- "display(mysecondwidget)"
+ "w.keys"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 9
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Shorthand for setting the initial values of widget properties"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "While creating a widget, you can set some or all of the initial values of that widget by **defining them as keyword arguments in the widget's constructor** (as seen below)."
+ ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mysecondwidget.value"
+ "TextWidget(value='Hello World!', disabled=True)"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 10,
- "text": [
- "'Item A'"
- ]
- }
- ],
- "prompt_number": 10
+ "outputs": []
},
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
"source": [
- "Some widgets have special attributes. For example, text boxes and text areas can specify the `placeholder` attribute, which will set \"placeholder\" text to be displayed before the user has typed anything:"
+ "Linking two similar widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "If you need to display the same value two different ways, you'll have to use two different widgets. Instead of **attempting to manually synchronize the values** of the two widgets, you can use the `traitlet` `link` function **to link two properties together**. Below, the values of three widgets are linked together."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mytextwidget = widgets.TextWidget()\n",
- "mytextwidget.placeholder = \"type something here\"\n",
- "display(mytextwidget)"
+ "from IPython.utils.traitlets import link\n",
+ "a = FloatTextWidget()\n",
+ "b = FloatSliderWidget()\n",
+ "c = FloatProgressWidget()\n",
+ "display(a,b,c)\n",
+ "\n",
+ "\n",
+ "mylink = link((a, 'value'), (b, 'value'), (c, 'value'))"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 4
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Unlinking widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Unlinking the widgets is simple. All you have to do is call `.unlink` on the link object."
+ ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "mytextareawidget = widgets.TextareaWidget()\n",
- "mytextareawidget.placeholder = \"your text here\"\n",
- "display(mytextareawidget)"
+ "mylink.unlink()"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 5
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Next](Widget List.ipynb)"
+ ]
}
],
"metadata": {}
diff --git a/examples/Interactive Widgets/Widget Events.ipynb b/examples/Interactive Widgets/Widget Events.ipynb
index dcb0c08..9a0888c 100644
--- a/examples/Interactive Widgets/Widget Events.ipynb
+++ b/examples/Interactive Widgets/Widget Events.ipynb
@@ -6,8 +6,9 @@
null
]
],
+ "celltoolbar": "Slideshow",
"name": "",
- "signature": "sha256:8cade57fabc6819dc950bc28502028554861fb1440d5d832922b95fd2b8bf25c"
+ "signature": "sha256:43e4910dd01111e1206f4f7940a201d6d5e69485df79de96e0ad927eb0046226"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -15,231 +16,208 @@
{
"cells": [
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from __future__ import print_function # 2.7 compatability\n",
- "\n",
- "from IPython.html import widgets # Widget definitions\n",
- "from IPython.display import display # Used to display widgets in the notebook"
- ],
- "language": "python",
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
- "prompt_number": 1
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget List.ipynb) - [Next](Widget Styling.ipynb)"
+ ]
},
{
"cell_type": "heading",
"level": 1,
- "metadata": {},
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
"source": [
- "Traitlet Events"
+ "Widget Events"
]
},
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
"source": [
- "As mentioned in Part 1, the widget attributes are IPython traitlets. Traitlets are eventful. To handle changes, the `on_trait_change` method of the widget can be used to register a callback. The docstring for `on_trait_change` can be seen below. Both the `name` and `remove` properties are optional."
+ "Special events"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "print(widgets.Widget.on_trait_change.__doc__)"
+ "from __future__ import print_function"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Setup a handler to be called when a trait changes.\n",
- "\n",
- " This is used to setup dynamic notifications of trait changes.\n",
- "\n",
- " Static handlers can be created by creating methods on a HasTraits\n",
- " subclass with the naming convention '_[traitname]_changed'. Thus,\n",
- " to create static handler for the trait 'a', create the method\n",
- " _a_changed(self, name, old, new) (fewer arguments can be used, see\n",
- " below).\n",
- "\n",
- " Parameters\n",
- " ----------\n",
- " handler : callable\n",
- " A callable that is called when a trait changes. Its\n",
- " signature can be handler(), handler(name), handler(name, new)\n",
- " or handler(name, old, new).\n",
- " name : list, str, None\n",
- " If None, the handler will apply to all traits. If a list\n",
- " of str, handler will apply to all names in the list. If a\n",
- " str, the handler will apply just to that name.\n",
- " remove : bool\n",
- " If False (the default), then install the handler. If True\n",
- " then unintall it.\n",
- " \n"
- ]
- }
- ],
- "prompt_number": 2
+ "outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Mentioned in the doc string, the callback registered can have 4 possible signatures:\n",
- "\n",
- "- callback()\n",
- "- callback(trait_name)\n",
- "- callback(trait_name, new_value)\n",
- "- callback(trait_name, old_value, new_value)\n",
- "\n",
- "Using this method, an example of how to output an IntSliderWiget's value as it is changed can be seen below."
+ "The `ButtonWidget` is not used to represent a data type. Instead the button widget is used to **handle mouse clicks**. The **`on_click` method** of the `ButtonWidget` can be used to register function to be called when the button is clicked. The doc string of the `on_click` can be seen below."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "int_range = widgets.IntSliderWidget()\n",
- "display(int_range)\n",
- "\n",
- "def on_value_change(name, value):\n",
- " print(value)\n",
- "\n",
- "int_range.on_trait_change(on_value_change, 'value')"
+ "from IPython.html import widgets\n",
+ "print(widgets.ButtonWidget.on_click.__doc__)"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 3
+ "outputs": []
},
{
"cell_type": "heading",
- "level": 1,
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Example"
+ ]
+ },
+ {
+ "cell_type": "markdown",
"metadata": {},
"source": [
- "Specialized Events"
+ "Since button clicks are **stateless**, they are **transmitted from the front-end to the back-end using custom messages**. By using the `on_click` method, a button that prints a message when it has been clicked is shown below."
]
},
{
- "cell_type": "heading",
- "level": 2,
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display\n",
+ "button = widgets.ButtonWidget(description=\"Click Me!\")\n",
+ "display(button)\n",
+ "\n",
+ "def on_button_clicked(b):\n",
+ " print(\"Button clicked.\")\n",
+ "\n",
+ "button.on_click(on_button_clicked)"
+ ],
+ "language": "python",
"metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
"source": [
- "Button Click Event"
+ "on_sumbit"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `ButtonWidget` is a special widget, like the `ContainerWidget` and `TabWidget`, that isn't used to represent a data type. Instead the button widget is used to handle mouse clicks. The `on_click` method of the `ButtonWidget` can be used to register function to be called when the button is clicked. The docstring of the `on_click` can be seen below."
+ "The **`TextWidget`** also has a special **`on_submit` event**. The `on_submit` event **fires when the user hits return**."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "print(widgets.ButtonWidget.on_click.__doc__)"
+ "text = widgets.TextWidget()\n",
+ "display(text)\n",
+ "\n",
+ "def handle_submit(sender):\n",
+ " print(text.value)\n",
+ "\n",
+ "text.on_submit(handle_submit)"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Register a callback to execute when the button is clicked.\n",
- "\n",
- " The callback will be called with one argument,\n",
- " the clicked button widget instance.\n",
- "\n",
- " Parameters\n",
- " ----------\n",
- " remove : bool (optional)\n",
- " Set to true to remove the callback from the list of callbacks.\n"
- ]
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
}
- ],
- "prompt_number": 4
+ },
+ "source": [
+ "Traitlet events"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Button clicks are transmitted from the front-end to the back-end using custom messages. By using the `on_click` method, a button that prints a message when it has been clicked is shown below."
+ "**Widget properties are IPython traitlets** and **traitlets are eventful**. To handle changes, the **`on_trait_change` method** of the widget can be used to **register a callback**. The doc string for `on_trait_change` can be seen below."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "button = widgets.ButtonWidget(description=\"Click Me!\")\n",
- "display(button)\n",
- "\n",
- "def on_button_clicked(b):\n",
- " print(\"Button clicked.\")\n",
- "\n",
- "button.on_click(on_button_clicked)"
+ "print(widgets.Widget.on_trait_change.__doc__)"
],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Button clicked.\n"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Button clicked.\n"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Button clicked.\n"
- ]
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
}
- ],
- "prompt_number": 5
+ },
+ "source": [
+ "Signatures"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Event handlers can also be used to create widgets. In the example below, clicking a button spawns another button with a description equal to how many times the parent button had been clicked at the time."
+ "Mentioned in the doc string, the callback registered can have **4 possible signatures**:\n",
+ "\n",
+ "- callback()\n",
+ "- callback(trait_name)\n",
+ "- callback(trait_name, new_value)\n",
+ "- callback(trait_name, old_value, new_value)\n",
+ "\n",
+ "Using this method, an example of how to output an IntSliderWiget's value as it is changed can be seen below."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "def new_button(clicked):\n",
- " button = widgets.ButtonWidget()\n",
- " button.clicks = 0\n",
- " clicked.clicks += 1\n",
- " button.description = \"%d\" % clicked.clicks\n",
- " display(button)\n",
- " button.on_click(new_button)\n",
- "button = widgets.ButtonWidget(description = \"Start\")\n",
- "button.clicks = 0\n",
- "display(button)\n",
- "button.on_click(new_button)\n",
- " "
+ "int_range = widgets.IntSliderWidget()\n",
+ "display(int_range)\n",
+ "\n",
+ "def on_value_change(name, value):\n",
+ " print(value)\n",
+ "\n",
+ "int_range.on_trait_change(on_value_change, 'value')"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 6
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget List.ipynb) - [Next](Widget Styling.ipynb)"
+ ]
}
],
"metadata": {}
diff --git a/examples/Interactive Widgets/Widget List.ipynb b/examples/Interactive Widgets/Widget List.ipynb
new file mode 100644
index 0000000..0d5ff91
--- /dev/null
+++ b/examples/Interactive Widgets/Widget List.ipynb
@@ -0,0 +1,579 @@
+{
+ "metadata": {
+ "celltoolbar": "Slideshow",
+ "name": "",
+ "signature": "sha256:f8284581eb29fde72c434a9a414fcb60837302177ebaa4af6ff219dd2b726381"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget Basics.ipynb) - [Next](Widget Events.ipynb)"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Widget List"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Complete list"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "For a complete list of the widgets available to you, you can list the classes in the widget namespace (as seen below). Classes with the suffix `Widget` are widgets. `Widget` and `DOMWidget` are base classes."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.html import widgets\n",
+ "[w for w in dir(widgets) if w.endswith('Widget')]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Numeric widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are 8 widgets distributed with IPython that are designed to display numeric values. Widgets exist for displaying integers and floats, both bounded and unbounded. The integer widgets share a similar naming scheme to their floating point counterparts. By replacing `Float` with `Int` in the widget name, you can find the Integer equivalent."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "FloatSliderWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.FloatSliderWidget(\n",
+ " value=7.5,\n",
+ " min=5.0,\n",
+ " max=10.0,\n",
+ " step=0.1,\n",
+ " description='Test:',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Sliders can also be **displayed vertically**."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.FloatSliderWidget(\n",
+ " value=7.5,\n",
+ " min=5.0,\n",
+ " max=10.0,\n",
+ " step=0.1,\n",
+ " description='Test',\n",
+ " orientation='vertical',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "FloatProgressWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.FloatProgressWidget(\n",
+ " value=7.5,\n",
+ " min=5.0,\n",
+ " max=10.0,\n",
+ " step=0.1,\n",
+ " description='Loading:',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "BoundedFloatTextWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.BoundedFloatTextWidget(\n",
+ " value=7.5,\n",
+ " min=5.0,\n",
+ " max=10.0,\n",
+ " description='Text:',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "FloatTextWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.FloatTextWidget(\n",
+ " value=7.5,\n",
+ " description='Any:',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Boolean widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are two widgets that are designed to display a boolean value."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "ToggleButtonWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.ToggleButtonWidget(\n",
+ " description='Click me',\n",
+ " value=False,\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "CheckboxWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.CheckboxWidget(\n",
+ " description='Check me',\n",
+ " value=True,\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Selection widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are four widgets that can be used to display single selection lists. All four inherit from the same base class. You can specify the **enumeration of selectables by passing a list**. You can **also specify the enumeration as a dictionary**, in which case the **keys will be used as the item displayed** in the list and the corresponding **value will be returned** when an item is selected."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "DropdownWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display\n",
+ "w = widgets.DropdownWidget(\n",
+ " values=[1, 2, 3],\n",
+ " value=2,\n",
+ " description='Number:',\n",
+ ")\n",
+ "display(w)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.value"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The following is also valid:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w = widgets.DropdownWidget(\n",
+ " values={'One': 1, 'Two': 2, 'Three': 3},\n",
+ " value=2,\n",
+ " description='Number:',\n",
+ ")\n",
+ "display(w)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "w.value"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "RadioButtonsWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.RadioButtonsWidget(\n",
+ " description='Pizza topping:',\n",
+ " values=['pepperoni', 'pineapple', 'anchovies'],\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "SelectWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.SelectWidget(\n",
+ " description='OS:',\n",
+ " values=['Linux', 'Windows', 'OSX'],\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "ToggleButtonsWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.ToggleButtonsWidget(\n",
+ " description='Speed:',\n",
+ " values=['Slow', 'Regular', 'Fast'],\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "String widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are 4 widgets that can be used to display a string value. Of those, the **`TextWidget` and `TextareaWidget` accept input**. The **`LatexWidget` and `HTMLWidget` display the string** as either Latex or HTML respectively, but **do not accept input**."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "TextWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.TextWidget(\n",
+ " description='String:',\n",
+ " value='Hello World',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "TextareaWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.TextareaWidget(\n",
+ " description='String:',\n",
+ " value='Hello World',\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "LatexWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.LatexWidget(\n",
+ " value=\"$$\\\\frac{n!}{k!(n-k)!} = \\\\binom{n}{k}$$\",\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "HTMLWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.HTMLWidget(\n",
+ " value=\"Hello <b>World</b>\"\n",
+ ")"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "ButtonWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "widgets.ButtonWidget(description='Click me')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget Basics.ipynb) - [Next](Widget Events.ipynb)"
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Interactive Widgets/Widget Placement.ipynb b/examples/Interactive Widgets/Widget Placement.ipynb
deleted file mode 100644
index cd3b5ee..0000000
--- a/examples/Interactive Widgets/Widget Placement.ipynb
+++ /dev/null
@@ -1,174 +0,0 @@
-{
- "metadata": {
- "cell_tags": [
- [
- "<None>",
- null
- ]
- ],
- "name": "",
- "signature": "sha256:60ff1a42e4dbc911ae15b409033e993257425c982809950746a567a4419b9484"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
- {
- "cells": [
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.html import widgets # Widget definitions\n",
- "from IPython.display import display # Used to display widgets in the notebook"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 1
- },
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Parent/Child Relationships"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "To display widget A inside widget B, widget A must be a child of widget B. Only one instance of any particular widget can be child of another. In other words, *widget A* cannot have *widget B* listed twice in it's list of children.\n",
- "\n",
- "Widgets that can contain other widgets have a `children` attribute. This attribute can be set via a kwarg in the widget's constructor or after construction. Calling display on an object with children automatically displays those children, too."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "float_range = widgets.FloatSliderWidget()\n",
- "string = widgets.TextWidget(value='hi')\n",
- "container = widgets.ContainerWidget(children=[float_range, string])\n",
- "\n",
- "display(container) # Displays the `container` and all of it's children."
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 2
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Children can also be added to parents after the parent has been displayed. The parent is responsible for rendering its children."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "container = widgets.ContainerWidget()\n",
- "display(container)\n",
- "\n",
- "int_range = widgets.IntSliderWidget()\n",
- "container.children=[int_range]\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 3
- },
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Visibility"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Sometimes it is necessary to hide or show widgets in place, without having to redisplay the widget.\n",
- "The `visibility` property of widgets can be used to hide or show widgets that have already been displayed (as seen below)."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "string = widgets.LatexWidget(value=\"Hello World!\")\n",
- "display(string) "
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 4
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "string.visible=False"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 5
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "string.visible=True"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 6
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "In the example below, a form is rendered, which conditionally displays widgets depending on the state of other widgets. Try toggling the student checkbox."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "form = widgets.ContainerWidget()\n",
- "first = widgets.TextWidget(description=\"First Name:\")\n",
- "last = widgets.TextWidget(description=\"Last Name:\")\n",
- "\n",
- "student = widgets.CheckboxWidget(description=\"Student:\", value=False)\n",
- "school_info = widgets.ContainerWidget(visible=False, children=[\n",
- " widgets.TextWidget(description=\"School:\"),\n",
- " widgets.IntTextWidget(description=\"Grade:\", min=0, max=12)\n",
- " ])\n",
- "\n",
- "pet = widgets.TextWidget(description=\"Pet's Name:\")\n",
- "form.children = [first, last, student, school_info, pet]\n",
- "display(form)\n",
- "\n",
- "def on_student_toggle(name, value):\n",
- " if value:\n",
- " school_info.visible = True\n",
- " else:\n",
- " school_info.visible = False\n",
- "student.on_trait_change(on_student_toggle, 'value')\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 7
- }
- ],
- "metadata": {}
- }
- ]
-}
\ No newline at end of file
diff --git a/examples/Interactive Widgets/Widget Styling.ipynb b/examples/Interactive Widgets/Widget Styling.ipynb
new file mode 100644
index 0000000..a7036a7
--- /dev/null
+++ b/examples/Interactive Widgets/Widget Styling.ipynb
@@ -0,0 +1,1387 @@
+{
+ "metadata": {
+ "cell_tags": [
+ [
+ "<None>",
+ null
+ ]
+ ],
+ "celltoolbar": "Slideshow",
+ "name": "",
+ "signature": "sha256:b5501a34b2148c57201625da06989ae31e2d22f429b786170c96fb703e08bc58"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget Events.ipynb) - [Next](Custom Widget - Hello World.ipynb)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%html\n",
+ "<style>\n",
+ ".example-container { background: #999999; padding: 2px; min-height: 100px; }\n",
+ ".example-container.sm { min-height: 50px; }\n",
+ ".example-box { background: #9999FF; width: 50px; height: 50px; text-align: center; vertical-align: middle; color: white; font-weight: bold; margin: 2px;}\n",
+ ".example-box.med { width: 65px; height: 65px; } \n",
+ ".example-box.lrg { width: 80px; height: 80px; } \n",
+ "</style>"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Widget Styling"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "CSS"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Since the representation of the widget you see is a **browser element**, **Cascading Style Sheets (CSS)** are used for styling. Widgets have a **`set_css` method** that allows you to **add and remove CSS properties** from your elements. The following example shows had `set_css` **can be used to set the background color** of a `TextWidget`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.html import widgets\n",
+ "text = widgets.TextWidget(value=\"Hello World!\")\n",
+ "text.set_css('background', 'lime')\n",
+ "text "
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Color codes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In the example above, **the color `lime` is specified by name**. CSS also supports specifying colors by a **3 byte hexadecimal string**. The first byte is red, second green, and third blue (**RGB**). The following example sets the `TextWidget`'s background to blue."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "text.set_css('background', '#0000FF')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Forecolor"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In CSS the **font color is `color`.**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "text.set_css('color', '#FFFFFF')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Size"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "CSS is also used to set the **height and width** of controls. The `set_css` method also **can accept a single dictionary with multiple CSS properties** (as seen below)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "btn = widgets.ButtonWidget()\n",
+ "btn.set_css({\n",
+ " 'width': '100px',\n",
+ " 'height': '100px',\n",
+ " 'background': 'red',\n",
+ "})\n",
+ "btn"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Removing"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To remove the styling, you can call `set_css` again, but use an empty string instead of a color value."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "btn.set_css('background', '')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "For more information about what can be done with CSS, please refer to the [Mozilla Developer Network's series on it](https://developer.mozilla.org/en-US/docs/Web/Guide/CSS/Getting_started).\n"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Parent/child relationships"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To display widget A inside widget B, widget A must be a child of widget B. **Only one instance of any particular widget can be child of another (this limitation will be removed in IPython 3.0).** In other words, *widget A* cannot have *widget B* listed twice in it's list of children.\n",
+ "\n",
+ "Widgets that can contain other widgets have a **`children` attribute**. This attribute can be **set via a keyword argument** in the widget's constructor **or after construction**. Calling display on an **object with children automatically displays those children**, too."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import display\n",
+ "\n",
+ "float_range = widgets.FloatSliderWidget()\n",
+ "string = widgets.TextWidget(value='hi')\n",
+ "container = widgets.ContainerWidget(children=[float_range, string])\n",
+ "\n",
+ "container.set_css('border', '3px dotted red')\n",
+ "display(container) # Displays the `container` and all of it's children."
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "After the parent is displayed"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Children **can be added to parents** after the parent has been displayed. The **parent is responsible for rendering its children**."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "container = widgets.ContainerWidget()\n",
+ "container.set_css('border', '3px dotted red')\n",
+ "display(container)\n",
+ "\n",
+ "int_range = widgets.IntSliderWidget()\n",
+ "container.children=[int_range]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Fancy containers"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you need to display a more complicated set of widgets, there are **specialized containers** that you can use. To display **multiple sets of widgets**, you can use an **`AccordionWidget` or a `TabWidget` in combination with one `ContainerWidget` per set of widgets** (as seen below). The \"pages\" of these widgets are their children. To set the titles of the pages, one must **call `set_title` after the widget has been displayed**."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "AccordionWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "name1 = widgets.TextWidget(description='Location:')\n",
+ "zip1 = widgets.BoundedIntTextWidget(description='Zip:', min=0, max=99999)\n",
+ "page1 = widgets.ContainerWidget(children=[name1, zip1])\n",
+ "\n",
+ "name2 = widgets.TextWidget(description='Location:')\n",
+ "zip2 = widgets.BoundedIntTextWidget(description='Zip:', min=0, max=99999)\n",
+ "page2 = widgets.ContainerWidget(children=[name2, zip2])\n",
+ "\n",
+ "accord = widgets.AccordionWidget(children=[page1, page2])\n",
+ "display(accord)\n",
+ "\n",
+ "accord.set_title(0, 'From')\n",
+ "accord.set_title(1, 'To')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "TabWidget"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "name = widgets.TextWidget(description='Name:')\n",
+ "color = widgets.DropdownWidget(description='Color:', values=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\n",
+ "page1 = widgets.ContainerWidget(children=[name, color])\n",
+ "\n",
+ "age = widgets.IntSliderWidget(description='Age:', min=0, max=120, value=50)\n",
+ "gender = widgets.RadioButtonsWidget(description='Gender:', values=['male', 'female'])\n",
+ "page2 = widgets.ContainerWidget(children=[age, gender])\n",
+ "\n",
+ "tabs = widgets.TabWidget(children=[page1, page2])\n",
+ "display(tabs)\n",
+ "\n",
+ "tabs.set_title(0, 'Name')\n",
+ "tabs.set_title(1, 'Details')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "PopupWidget"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Unlike the other two special containers, the `PopupWidget` is only **designed to display one set of widgets**. The `PopupWidget` can be used to **display widgets outside of the widget area**. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "counter = widgets.IntTextWidget(description='Counter:')\n",
+ "popup = widgets.PopupWidget(children=[counter], description='Popup Demo', button_text='Popup Button')\n",
+ "display(popup)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "counter.value += 1"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "counter.value += 1"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "popup.close()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Alignment"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Most widgets have a **`description` attribute**, which allows a label for the widget to be defined.\n",
+ "The label of the widget **has a fixed minimum width**.\n",
+ "The text of the label is **always right aligned and the widget is left aligned**:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(widgets.TextWidget(description=\"a:\"))\n",
+ "display(widgets.TextWidget(description=\"aa:\"))\n",
+ "display(widgets.TextWidget(description=\"aaa:\"))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "If a **label is longer** than the minimum width, the **widget is shifted to the right**:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(widgets.TextWidget(description=\"a:\"))\n",
+ "display(widgets.TextWidget(description=\"aa:\"))\n",
+ "display(widgets.TextWidget(description=\"aaa:\"))\n",
+ "display(widgets.TextWidget(description=\"aaaaaaaaaaaaaaaaaa:\"))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "If a `description` is **not set** for the widget, the **label is not displayed**:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(widgets.TextWidget(description=\"a:\"))\n",
+ "display(widgets.TextWidget(description=\"aa:\"))\n",
+ "display(widgets.TextWidget(description=\"aaa:\"))\n",
+ "display(widgets.TextWidget())"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "DOM Classes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "IPython defines a large number of **DOM (document object model) classes** that you can apply to your widgets. Applying a DOM class causes all of the **CSS associated with that class** to be applied to the element. Classes can be applied and removed using the **`add_class` and `remove_class`** methods **after a widget has been displayed**. The majority of DOM classes defined by IPython are actually **Bootstrap classes**. For more information on Bootstrap classes and CSS, please refer to [Bootstrap's website](http://getbootstrap.com/2.3.2/)."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Path dependent"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Both `add_class` and `remove_class` allow you to use **CSS selectors** to pick which sub elements of your widget get styled. Because of this, the `add_class` and `remove_class` methods are **path dependent (order specific)**. The following example shows the **same three calls** made in three **different orders** and the resulting output. **All three differ.**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%html\n",
+ "<style>\n",
+ " div.cube { display: inline; padding: 5px; }\n",
+ " div.red { background: red; }\n",
+ " div.blue { background: blue; }\n",
+ "</style>"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.html import widgets\n",
+ "from IPython.display import display\n",
+ "html = '<br />'.join([''.join(['<div class=\"cube\">x</div>' for i in range(8)]) for j in range(8)])\n",
+ "widget = [widgets.HTMLWidget(value=html) for i in range(3)]\n",
+ "\n",
+ "display(widget[0])\n",
+ "widget[0].add_class('red', 'div.cube:nth-child(even)')\n",
+ "widget[0].remove_class('red', 'div.red:nth-child(7n+1)')\n",
+ "widget[0].add_class('blue', 'div.red:nth-child(3n+1)')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(widget[1])\n",
+ "widget[1].remove_class('red', 'div.red:nth-child(7n+1)')\n",
+ "widget[1].add_class('blue', 'div.red:nth-child(3n+1)')\n",
+ "widget[1].add_class('red', 'div.cube:nth-child(even)')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "display(widget[2])\n",
+ "widget[2].add_class('red', 'div.cube:nth-child(even)')\n",
+ "widget[2].add_class('blue', 'div.red:nth-child(3n+1)')\n",
+ "widget[2].remove_class('red', 'div.red:nth-child(7n+1)')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Alignment classes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Widgets can be aligned using IPython **alignment classes**. These classes should work with most widgets, but were **designed to be applied to `ContainerWidget`s**. Examples of these classes follow:"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Orientation classes"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"vbox\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Widget containers default to this orientation.\n",
+ "<div class=\"example-container vbox\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"hbox\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container hbox\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Packing classes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "These examples use the **hbox layout** to show packing. Packing is the alignment of the widgets along the the **axis that they are displayed on**."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"start\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container hbox start\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"center\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container hbox center\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"end\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "<div class=\"example-container hbox end\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Aligning classes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "These examples use the **hbox layout** to show alignment. Packing is the alignment of the widgets along the the **axis perpendicular to the one that they are displayed on**."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"align-start\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container hbox align-start\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"align-center\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container hbox align-center\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "\"align-end\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "<div class=\"example-container hbox align-end\">\n",
+ "<div class=\"example-box\">A</div>\n",
+ "<div class=\"example-box med\">B</div>\n",
+ "<div class=\"example-box lrg\">C</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Flex classes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To specify **how \"greedy\" a container is** when filling in the remaining space of its parent, the **`box-flexN`** classes are used (where N is 0, 1, or 2). The **higher the value of N, the more greedy** the child is. **`box-flex0` is the default behavior**, which is to not fill the parent."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Example 1"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container sm hbox center\">\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Example 2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container sm hbox center\">\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Example 3"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container sm hbox center\">\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Example 4"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container sm hbox center\">\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Example 5"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"example-container sm hbox center\">\n",
+ "<div class=\"example-box box-flex2\">box-flex2</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Example 6"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "<div class=\"example-container sm hbox center\">\n",
+ "<div class=\"example-box box-flex0\">box-flex0</div>\n",
+ "<div class=\"example-box box-flex1\">box-flex1</div>\n",
+ "<div class=\"example-box box-flex2\">box-flex2</div>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Application to widgets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Widget containers **default to vbox** alignment."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "buttons = [widgets.ButtonWidget(description=str(i)) for i in range(3)]\n",
+ "\n",
+ "container = widgets.ContainerWidget(children=buttons)\n",
+ "display(container)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Using hbox"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To make a widget container display its widgets horizontally, you need to **remove the `vbox` class** from the container and **add the `hbox` class** in its place."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "container = widgets.ContainerWidget(children=buttons)\n",
+ "display(container)\n",
+ "container.remove_class('vbox')\n",
+ "container.add_class('hbox')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "By setting the width of the container to 100% and adding the `center` class to it, you can center the buttons."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "container.set_css('width', '100%')\n",
+ "container.add_class('center')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Style classes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In addition to alignment classes, the classes defined by Bootstrap can also be used. This tutorial will only cover a few of the most common classes. For a full list of Bootstrap classes, please refer to [Bootstrap's website](http://getbootstrap.com/2.3.2/)."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "ButtonWidgets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# List of the bootstrap button styles\n",
+ "classes = [\n",
+ " 'btn', \n",
+ " 'btn-primary', \n",
+ " 'btn-info', \n",
+ " 'btn-success', \n",
+ " 'btn-warning', \n",
+ " 'btn-danger', \n",
+ " 'btn-inverse', \n",
+ " 'btn-link'\n",
+ "]\n",
+ "\n",
+ "# Display the buttons in a hbox\n",
+ "container = widgets.ContainerWidget(children=[widgets.ButtonWidget(description=c) for c in classes])\n",
+ "display(container)\n",
+ "\n",
+ "# Apply classes after display\n",
+ "container.remove_class('vbox')\n",
+ "container.add_class('hbox')\n",
+ "ret = [container.children[i].add_class(c) for i, c in enumerate(classes)]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "ContainerWidgets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def create_label(cls):\n",
+ " class_name = widgets.HTMLWidget(value=cls)\n",
+ " container = widgets.ContainerWidget(children=[class_name])\n",
+ " display(container)\n",
+ " container.add_class(cls)\n",
+ "\n",
+ "ret = [create_label(c) for c in [\n",
+ " 'alert', \n",
+ " 'alert alert-error', \n",
+ " 'alert alert-success', \n",
+ " 'alert alert-info'\n",
+ "]]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "ProgressWidgets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "classes = [\n",
+ " 'progress-info', \n",
+ " 'progress-success', \n",
+ " 'progress-warning', \n",
+ " 'progress-danger',\n",
+ " 'progress-info progress-striped', \n",
+ " 'progress-success progress-striped', \n",
+ " 'progress-warning progress-striped', \n",
+ " 'progress-danger progress-striped',\n",
+ " 'active progress-info progress-striped', \n",
+ " 'active progress-success progress-striped', \n",
+ " 'active progress-warning progress-striped', \n",
+ " 'active progress-danger progress-striped',\n",
+ "]\n",
+ "ws = [widgets.IntProgressWidget(value=50, description=c) for c in classes]\n",
+ "ret = [display(w) for w in ws]\n",
+ "ret = [ws[i].add_class(c) for i, cs in enumerate(classes) for c in cs.split(' ')]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Visibility"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Sometimes it is necessary to **hide or show widgets** in place, **without having to re-display** the widget.\n",
+ "The `visibility` property of widgets can be used to hide or show **widgets that have already been displayed** (as seen below)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "string = widgets.LatexWidget(value=\"Hello World!\")\n",
+ "display(string) "
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "string.visible=False"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "string.visible=True"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Another example"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In the example below, a form is rendered, which conditionally displays widgets depending on the state of other widgets. Try toggling the student checkbox."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "form = widgets.ContainerWidget()\n",
+ "first = widgets.TextWidget(description=\"First Name:\")\n",
+ "last = widgets.TextWidget(description=\"Last Name:\")\n",
+ "\n",
+ "student = widgets.CheckboxWidget(description=\"Student:\", value=False)\n",
+ "school_info = widgets.ContainerWidget(visible=False, children=[\n",
+ " widgets.TextWidget(description=\"School:\"),\n",
+ " widgets.IntTextWidget(description=\"Grade:\", min=0, max=12)\n",
+ " ])\n",
+ "\n",
+ "pet = widgets.TextWidget(description=\"Pet's Name:\")\n",
+ "form.children = [first, last, student, school_info, pet]\n",
+ "display(form)\n",
+ "\n",
+ "def on_student_toggle(name, value):\n",
+ " if value:\n",
+ " school_info.visible = True\n",
+ " else:\n",
+ " school_info.visible = False\n",
+ "student.on_trait_change(on_student_toggle, 'value')\n"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[Index](Index.ipynb) - [Back](Widget Events.ipynb) - [Next](Custom Widget - Hello World.ipynb)"
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Interactive Widgets/images/MultilanguageKernels.graffle b/examples/Interactive Widgets/images/MultilanguageKernels.graffle
new file mode 100644
index 0000000..c05b773
--- /dev/null
+++ b/examples/Interactive Widgets/images/MultilanguageKernels.graffle
@@ -0,0 +1,442 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+ <key>ActiveLayerIndex</key>
+ <integer>0</integer>
+ <key>ApplicationVersion</key>
+ <array>
+ <string>com.omnigroup.OmniGraffle</string>
+ <string>139.18.0.187838</string>
+ </array>
+ <key>AutoAdjust</key>
+ <true/>
+ <key>BackgroundGraphic</key>
+ <dict>
+ <key>Bounds</key>
+ <string>{{0, 0}, {576, 733}}</string>
+ <key>Class</key>
+ <string>SolidGraphic</string>
+ <key>ID</key>
+ <integer>2</integer>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ <key>stroke</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ </dict>
+ <key>BaseZoom</key>
+ <integer>0</integer>
+ <key>CanvasOrigin</key>
+ <string>{0, 0}</string>
+ <key>ColumnAlign</key>
+ <integer>1</integer>
+ <key>ColumnSpacing</key>
+ <real>36</real>
+ <key>CreationDate</key>
+ <string>2014-05-28 16:41:42 +0000</string>
+ <key>Creator</key>
+ <string>bgranger</string>
+ <key>DisplayScale</key>
+ <string>1 0/72 in = 1 0/72 in</string>
+ <key>GraphDocumentVersion</key>
+ <integer>8</integer>
+ <key>GraphicsList</key>
+ <array>
+ <dict>
+ <key>Class</key>
+ <string>LineGraphic</string>
+ <key>Head</key>
+ <dict>
+ <key>ID</key>
+ <integer>4</integer>
+ </dict>
+ <key>ID</key>
+ <integer>8</integer>
+ <key>Points</key>
+ <array>
+ <string>{301.5, 284.5}</string>
+ <string>{370.03931790895228, 313.41502474283925}</string>
+ </array>
+ <key>Style</key>
+ <dict>
+ <key>stroke</key>
+ <dict>
+ <key>HeadArrow</key>
+ <string>0</string>
+ <key>Legacy</key>
+ <true/>
+ <key>Pattern</key>
+ <integer>1</integer>
+ <key>TailArrow</key>
+ <string>0</string>
+ </dict>
+ </dict>
+ </dict>
+ <dict>
+ <key>Class</key>
+ <string>LineGraphic</string>
+ <key>Head</key>
+ <dict>
+ <key>ID</key>
+ <integer>3</integer>
+ </dict>
+ <key>ID</key>
+ <integer>7</integer>
+ <key>Points</key>
+ <array>
+ <string>{302, 282}</string>
+ <string>{370.00010962762133, 280.57591393450008}</string>
+ </array>
+ <key>Style</key>
+ <dict>
+ <key>stroke</key>
+ <dict>
+ <key>HeadArrow</key>
+ <string>0</string>
+ <key>Legacy</key>
+ <true/>
+ <key>Pattern</key>
+ <integer>1</integer>
+ <key>TailArrow</key>
+ <string>0</string>
+ </dict>
+ </dict>
+ </dict>
+ <dict>
+ <key>Class</key>
+ <string>LineGraphic</string>
+ <key>Head</key>
+ <dict>
+ <key>ID</key>
+ <integer>1</integer>
+ </dict>
+ <key>ID</key>
+ <integer>6</integer>
+ <key>Points</key>
+ <array>
+ <string>{301.5, 280.5}</string>
+ <string>{370.04817900607623, 248.01101932524512}</string>
+ </array>
+ <key>Style</key>
+ <dict>
+ <key>stroke</key>
+ <dict>
+ <key>HeadArrow</key>
+ <string>0</string>
+ <key>Legacy</key>
+ <true/>
+ <key>Pattern</key>
+ <integer>1</integer>
+ <key>TailArrow</key>
+ <string>0</string>
+ </dict>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{241.5, 262}, {58, 36}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>FontInfo</key>
+ <dict>
+ <key>Font</key>
+ <string>Helvetica</string>
+ <key>Size</key>
+ <real>12</real>
+ </dict>
+ <key>ID</key>
+ <integer>5</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs20 \cf0 Frontend}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{370.5, 307}, {54, 36}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>FontInfo</key>
+ <dict>
+ <key>Font</key>
+ <string>Helvetica</string>
+ <key>Size</key>
+ <real>12</real>
+ </dict>
+ <key>ID</key>
+ <integer>4</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs20 \cf0 R\
+Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{370.5, 262}, {54, 36}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>FontInfo</key>
+ <dict>
+ <key>Font</key>
+ <string>Helvetica</string>
+ <key>Size</key>
+ <real>12</real>
+ </dict>
+ <key>ID</key>
+ <integer>3</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs20 \cf0 Julia\
+Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{370.5, 217}, {54, 36}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>FontInfo</key>
+ <dict>
+ <key>Font</key>
+ <string>Helvetica</string>
+ <key>Size</key>
+ <real>12</real>
+ </dict>
+ <key>ID</key>
+ <integer>1</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs20 \cf0 Python Kernel}</string>
+ </dict>
+ </dict>
+ </array>
+ <key>GridInfo</key>
+ <dict/>
+ <key>GuidesLocked</key>
+ <string>NO</string>
+ <key>GuidesVisible</key>
+ <string>YES</string>
+ <key>HPages</key>
+ <integer>1</integer>
+ <key>ImageCounter</key>
+ <integer>1</integer>
+ <key>KeepToScale</key>
+ <false/>
+ <key>Layers</key>
+ <array>
+ <dict>
+ <key>Lock</key>
+ <string>NO</string>
+ <key>Name</key>
+ <string>Layer 1</string>
+ <key>Print</key>
+ <string>YES</string>
+ <key>View</key>
+ <string>YES</string>
+ </dict>
+ </array>
+ <key>LayoutInfo</key>
+ <dict>
+ <key>Animate</key>
+ <string>NO</string>
+ <key>circoMinDist</key>
+ <real>18</real>
+ <key>circoSeparation</key>
+ <real>0.0</real>
+ <key>layoutEngine</key>
+ <string>dot</string>
+ <key>neatoSeparation</key>
+ <real>0.0</real>
+ <key>twopiSeparation</key>
+ <real>0.0</real>
+ </dict>
+ <key>LinksVisible</key>
+ <string>NO</string>
+ <key>MagnetsVisible</key>
+ <string>NO</string>
+ <key>MasterSheets</key>
+ <array/>
+ <key>ModificationDate</key>
+ <string>2014-05-28 16:45:20 +0000</string>
+ <key>Modifier</key>
+ <string>bgranger</string>
+ <key>NotesVisible</key>
+ <string>NO</string>
+ <key>Orientation</key>
+ <integer>2</integer>
+ <key>OriginVisible</key>
+ <string>NO</string>
+ <key>PageBreaks</key>
+ <string>YES</string>
+ <key>PrintInfo</key>
+ <dict>
+ <key>NSBottomMargin</key>
+ <array>
+ <string>float</string>
+ <string>41</string>
+ </array>
+ <key>NSHorizonalPagination</key>
+ <array>
+ <string>coded</string>
+ <string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFxlwCG</string>
+ </array>
+ <key>NSLeftMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSPaperSize</key>
+ <array>
+ <string>size</string>
+ <string>{612, 792}</string>
+ </array>
+ <key>NSPrintReverseOrientation</key>
+ <array>
+ <string>int</string>
+ <string>0</string>
+ </array>
+ <key>NSRightMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSTopMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ </dict>
+ <key>PrintOnePage</key>
+ <false/>
+ <key>ReadOnly</key>
+ <string>NO</string>
+ <key>RowAlign</key>
+ <integer>1</integer>
+ <key>RowSpacing</key>
+ <real>36</real>
+ <key>SheetTitle</key>
+ <string>Canvas 1</string>
+ <key>SmartAlignmentGuidesActive</key>
+ <string>YES</string>
+ <key>SmartDistanceGuidesActive</key>
+ <string>YES</string>
+ <key>UniqueID</key>
+ <integer>1</integer>
+ <key>UseEntirePage</key>
+ <false/>
+ <key>VPages</key>
+ <integer>1</integer>
+ <key>WindowInfo</key>
+ <dict>
+ <key>CurrentSheet</key>
+ <integer>0</integer>
+ <key>ExpandedCanvases</key>
+ <array>
+ <dict>
+ <key>name</key>
+ <string>Canvas 1</string>
+ </dict>
+ </array>
+ <key>Frame</key>
+ <string>{{387, 6}, {710, 872}}</string>
+ <key>ListView</key>
+ <true/>
+ <key>OutlineWidth</key>
+ <integer>142</integer>
+ <key>RightSidebar</key>
+ <false/>
+ <key>ShowRuler</key>
+ <true/>
+ <key>Sidebar</key>
+ <true/>
+ <key>SidebarWidth</key>
+ <integer>120</integer>
+ <key>VisibleRegion</key>
+ <string>{{196.5, 107}, {287.5, 366.5}}</string>
+ <key>Zoom</key>
+ <real>2</real>
+ <key>ZoomValues</key>
+ <array>
+ <array>
+ <string>Canvas 1</string>
+ <real>2</real>
+ <real>1</real>
+ </array>
+ </array>
+ </dict>
+</dict>
+</plist>
diff --git a/examples/Interactive Widgets/images/MultilanguageKernels.png b/examples/Interactive Widgets/images/MultilanguageKernels.png
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diff --git a/examples/Interactive Widgets/images/ParallelKernels.graffle b/examples/Interactive Widgets/images/ParallelKernels.graffle
new file mode 100644
index 0000000..7dd686d
--- /dev/null
+++ b/examples/Interactive Widgets/images/ParallelKernels.graffle
@@ -0,0 +1,876 @@
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+ <key>Legacy</key>
+ <true/>
+ <key>Pattern</key>
+ <integer>1</integer>
+ <key>TailArrow</key>
+ <string>0</string>
+ </dict>
+ </dict>
+ </dict>
+ <dict>
+ <key>Class</key>
+ <string>LineGraphic</string>
+ <key>Head</key>
+ <dict>
+ <key>ID</key>
+ <integer>18</integer>
+ </dict>
+ <key>ID</key>
+ <integer>20</integer>
+ <key>Points</key>
+ <array>
+ <string>{136, 376.24998788995731}</string>
+ <string>{167.5, 376.24998788995731}</string>
+ </array>
+ <key>Style</key>
+ <dict>
+ <key>stroke</key>
+ <dict>
+ <key>HeadArrow</key>
+ <string>0</string>
+ <key>Legacy</key>
+ <true/>
+ <key>Pattern</key>
+ <integer>1</integer>
+ <key>TailArrow</key>
+ <string>0</string>
+ </dict>
+ </dict>
+ <key>Tail</key>
+ <dict>
+ <key>ID</key>
+ <integer>19</integer>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{66.5, 364.5}, {69, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>19</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 FRONTEND}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{168, 364.5}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>18</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{436, 410}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>17</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{436, 379}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>16</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{436, 348}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>15</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{436, 317}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>14</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{378, 410}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>13</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{378, 379}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>12</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{378, 348}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>11</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{378, 317}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>10</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{320, 410}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>9</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{320, 379}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>8</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{320, 348}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>7</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{320, 317}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>6</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{262, 410}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>5</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{262, 379}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>4</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{262, 348}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>3</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{262, 317}, {52, 23.5}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>1</integer>
+ <key>Shape</key>
+ <string>Rectangle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs24 \cf0 Kernel}</string>
+ </dict>
+ </dict>
+ </array>
+ <key>GridInfo</key>
+ <dict/>
+ <key>GuidesLocked</key>
+ <string>NO</string>
+ <key>GuidesVisible</key>
+ <string>YES</string>
+ <key>HPages</key>
+ <integer>1</integer>
+ <key>ImageCounter</key>
+ <integer>1</integer>
+ <key>KeepToScale</key>
+ <false/>
+ <key>Layers</key>
+ <array>
+ <dict>
+ <key>Lock</key>
+ <string>NO</string>
+ <key>Name</key>
+ <string>Layer 1</string>
+ <key>Print</key>
+ <string>YES</string>
+ <key>View</key>
+ <string>YES</string>
+ </dict>
+ </array>
+ <key>LayoutInfo</key>
+ <dict>
+ <key>Animate</key>
+ <string>NO</string>
+ <key>circoMinDist</key>
+ <real>18</real>
+ <key>circoSeparation</key>
+ <real>0.0</real>
+ <key>layoutEngine</key>
+ <string>dot</string>
+ <key>neatoSeparation</key>
+ <real>0.0</real>
+ <key>twopiSeparation</key>
+ <real>0.0</real>
+ </dict>
+ <key>LinksVisible</key>
+ <string>NO</string>
+ <key>MagnetsVisible</key>
+ <string>NO</string>
+ <key>MasterSheets</key>
+ <array/>
+ <key>ModificationDate</key>
+ <string>2014-05-27 22:41:37 +0000</string>
+ <key>Modifier</key>
+ <string>bgranger</string>
+ <key>NotesVisible</key>
+ <string>NO</string>
+ <key>Orientation</key>
+ <integer>2</integer>
+ <key>OriginVisible</key>
+ <string>NO</string>
+ <key>PageBreaks</key>
+ <string>YES</string>
+ <key>PrintInfo</key>
+ <dict>
+ <key>NSBottomMargin</key>
+ <array>
+ <string>float</string>
+ <string>41</string>
+ </array>
+ <key>NSHorizonalPagination</key>
+ <array>
+ <string>coded</string>
+ <string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFxlwCG</string>
+ </array>
+ <key>NSLeftMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSPaperSize</key>
+ <array>
+ <string>size</string>
+ <string>{612, 792}</string>
+ </array>
+ <key>NSPrintReverseOrientation</key>
+ <array>
+ <string>int</string>
+ <string>0</string>
+ </array>
+ <key>NSRightMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSTopMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ </dict>
+ <key>PrintOnePage</key>
+ <false/>
+ <key>ReadOnly</key>
+ <string>NO</string>
+ <key>RowAlign</key>
+ <integer>1</integer>
+ <key>RowSpacing</key>
+ <real>36</real>
+ <key>SheetTitle</key>
+ <string>Canvas 1</string>
+ <key>SmartAlignmentGuidesActive</key>
+ <string>YES</string>
+ <key>SmartDistanceGuidesActive</key>
+ <string>YES</string>
+ <key>UniqueID</key>
+ <integer>1</integer>
+ <key>UseEntirePage</key>
+ <false/>
+ <key>VPages</key>
+ <integer>1</integer>
+ <key>WindowInfo</key>
+ <dict>
+ <key>CurrentSheet</key>
+ <integer>0</integer>
+ <key>ExpandedCanvases</key>
+ <array>
+ <dict>
+ <key>name</key>
+ <string>Canvas 1</string>
+ </dict>
+ </array>
+ <key>Frame</key>
+ <string>{{367, 6}, {710, 872}}</string>
+ <key>ListView</key>
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+ <key>VisibleRegion</key>
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+ <real>1.5</real>
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+ </array>
+ </dict>
+</dict>
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diff --git a/examples/Interactive Widgets/images/ParallelKernels.png b/examples/Interactive Widgets/images/ParallelKernels.png
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diff --git a/examples/Interactive Widgets/images/VizInteractCompute.graffle b/examples/Interactive Widgets/images/VizInteractCompute.graffle
new file mode 100644
index 0000000..b5299b0
--- /dev/null
+++ b/examples/Interactive Widgets/images/VizInteractCompute.graffle
@@ -0,0 +1,426 @@
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+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs22 \cf0 Interact}</string>
+ <key>VerticalPad</key>
+ <integer>0</integer>
+ </dict>
+ </dict>
+ <dict>
+ <key>Bounds</key>
+ <string>{{250.5, 299.5}, {75, 50}}</string>
+ <key>Class</key>
+ <string>ShapedGraphic</string>
+ <key>ID</key>
+ <integer>28</integer>
+ <key>Shape</key>
+ <string>Circle</string>
+ <key>Style</key>
+ <dict>
+ <key>shadow</key>
+ <dict>
+ <key>Draws</key>
+ <string>NO</string>
+ </dict>
+ <key>stroke</key>
+ <dict>
+ <key>Width</key>
+ <real>2</real>
+ </dict>
+ </dict>
+ <key>Text</key>
+ <dict>
+ <key>Text</key>
+ <string>{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf190
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 xkcd-Regular;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs22 \cf0 Visualize}</string>
+ <key>VerticalPad</key>
+ <integer>0</integer>
+ </dict>
+ </dict>
+ </array>
+ <key>GridInfo</key>
+ <dict/>
+ <key>GuidesLocked</key>
+ <string>NO</string>
+ <key>GuidesVisible</key>
+ <string>YES</string>
+ <key>HPages</key>
+ <integer>1</integer>
+ <key>ImageCounter</key>
+ <integer>1</integer>
+ <key>KeepToScale</key>
+ <false/>
+ <key>Layers</key>
+ <array>
+ <dict>
+ <key>Lock</key>
+ <string>NO</string>
+ <key>Name</key>
+ <string>Layer 1</string>
+ <key>Print</key>
+ <string>YES</string>
+ <key>View</key>
+ <string>YES</string>
+ </dict>
+ </array>
+ <key>LayoutInfo</key>
+ <dict>
+ <key>Animate</key>
+ <string>NO</string>
+ <key>circoMinDist</key>
+ <real>18</real>
+ <key>circoSeparation</key>
+ <real>0.0</real>
+ <key>layoutEngine</key>
+ <string>dot</string>
+ <key>neatoSeparation</key>
+ <real>0.0</real>
+ <key>twopiSeparation</key>
+ <real>0.0</real>
+ </dict>
+ <key>LinksVisible</key>
+ <string>NO</string>
+ <key>MagnetsVisible</key>
+ <string>NO</string>
+ <key>MasterSheets</key>
+ <array/>
+ <key>ModificationDate</key>
+ <string>2014-05-28 16:49:32 +0000</string>
+ <key>Modifier</key>
+ <string>bgranger</string>
+ <key>NotesVisible</key>
+ <string>NO</string>
+ <key>Orientation</key>
+ <integer>2</integer>
+ <key>OriginVisible</key>
+ <string>NO</string>
+ <key>PageBreaks</key>
+ <string>YES</string>
+ <key>PrintInfo</key>
+ <dict>
+ <key>NSBottomMargin</key>
+ <array>
+ <string>float</string>
+ <string>41</string>
+ </array>
+ <key>NSHorizonalPagination</key>
+ <array>
+ <string>coded</string>
+ <string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFxlwCG</string>
+ </array>
+ <key>NSLeftMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSPaperSize</key>
+ <array>
+ <string>size</string>
+ <string>{612, 792}</string>
+ </array>
+ <key>NSPrintReverseOrientation</key>
+ <array>
+ <string>int</string>
+ <string>0</string>
+ </array>
+ <key>NSRightMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSTopMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ </dict>
+ <key>PrintOnePage</key>
+ <false/>
+ <key>ReadOnly</key>
+ <string>NO</string>
+ <key>RowAlign</key>
+ <integer>1</integer>
+ <key>RowSpacing</key>
+ <real>36</real>
+ <key>SheetTitle</key>
+ <string>Canvas 1</string>
+ <key>SmartAlignmentGuidesActive</key>
+ <string>YES</string>
+ <key>SmartDistanceGuidesActive</key>
+ <string>YES</string>
+ <key>UniqueID</key>
+ <integer>1</integer>
+ <key>UseEntirePage</key>
+ <false/>
+ <key>VPages</key>
+ <integer>1</integer>
+ <key>WindowInfo</key>
+ <dict>
+ <key>CurrentSheet</key>
+ <integer>0</integer>
+ <key>ExpandedCanvases</key>
+ <array>
+ <dict>
+ <key>name</key>
+ <string>Canvas 1</string>
+ </dict>
+ </array>
+ <key>Frame</key>
+ <string>{{340, 6}, {710, 872}}</string>
+ <key>ListView</key>
+ <true/>
+ <key>OutlineWidth</key>
+ <integer>142</integer>
+ <key>RightSidebar</key>
+ <false/>
+ <key>ShowRuler</key>
+ <true/>
+ <key>Sidebar</key>
+ <true/>
+ <key>SidebarWidth</key>
+ <integer>120</integer>
+ <key>VisibleRegion</key>
+ <string>{{0, 0}, {575, 733}}</string>
+ <key>Zoom</key>
+ <real>1</real>
+ <key>ZoomValues</key>
+ <array>
+ <array>
+ <string>Canvas 1</string>
+ <real>1</real>
+ <real>1</real>
+ </array>
+ </array>
+ </dict>
+</dict>
+</plist>
diff --git a/examples/Interactive Widgets/images/VizInteractCompute.png b/examples/Interactive Widgets/images/VizInteractCompute.png
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diff --git a/examples/Interactive Widgets/images/WidgetArch.graffle b/examples/Interactive Widgets/images/WidgetArch.graffle
new file mode 100644
index 0000000..c371b39
--- /dev/null
+++ b/examples/Interactive Widgets/images/WidgetArch.graffle
@@ -0,0 +1,322 @@
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+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
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+ <string>NO</string>
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+ <dict>
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+
+\f0\fs24 \cf0 Interact}</string>
+ </dict>
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+ <dict>
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+ </dict>
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+ <dict>
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+
+\f0\fs24 \cf0 Widgets}</string>
+ </dict>
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diff --git a/examples/Interactive Widgets/images/WidgetModelView.graffle b/examples/Interactive Widgets/images/WidgetModelView.graffle
new file mode 100644
index 0000000..8a559c5
--- /dev/null
+++ b/examples/Interactive Widgets/images/WidgetModelView.graffle
@@ -0,0 +1,523 @@
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+
+\f0\fs24 \cf0 widget View}</string>
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+ <key>OriginVisible</key>
+ <string>NO</string>
+ <key>PageBreaks</key>
+ <string>YES</string>
+ <key>PrintInfo</key>
+ <dict>
+ <key>NSBottomMargin</key>
+ <array>
+ <string>float</string>
+ <string>41</string>
+ </array>
+ <key>NSHorizonalPagination</key>
+ <array>
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+ <key>NSLeftMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSPaperSize</key>
+ <array>
+ <string>size</string>
+ <string>{612, 792}</string>
+ </array>
+ <key>NSPrintReverseOrientation</key>
+ <array>
+ <string>int</string>
+ <string>0</string>
+ </array>
+ <key>NSRightMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSTopMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ </dict>
+ <key>PrintOnePage</key>
+ <false/>
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+ <string>NO</string>
+ <key>RowAlign</key>
+ <integer>1</integer>
+ <key>RowSpacing</key>
+ <real>36</real>
+ <key>SheetTitle</key>
+ <string>Canvas 1</string>
+ <key>SmartAlignmentGuidesActive</key>
+ <string>YES</string>
+ <key>SmartDistanceGuidesActive</key>
+ <string>YES</string>
+ <key>UniqueID</key>
+ <integer>1</integer>
+ <key>UseEntirePage</key>
+ <false/>
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+ <key>WindowInfo</key>
+ <dict>
+ <key>CurrentSheet</key>
+ <integer>0</integer>
+ <key>ExpandedCanvases</key>
+ <array>
+ <dict>
+ <key>name</key>
+ <string>Canvas 1</string>
+ </dict>
+ </array>
+ <key>Frame</key>
+ <string>{{17, 3}, {1112, 875}}</string>
+ <key>ListView</key>
+ <false/>
+ <key>OutlineWidth</key>
+ <integer>142</integer>
+ <key>RightSidebar</key>
+ <true/>
+ <key>ShowRuler</key>
+ <true/>
+ <key>Sidebar</key>
+ <true/>
+ <key>SidebarWidth</key>
+ <integer>120</integer>
+ <key>VisibleRegion</key>
+ <string>{{0, 105.33333333333333}, {556, 490.66666666666669}}</string>
+ <key>Zoom</key>
+ <real>1.5</real>
+ <key>ZoomValues</key>
+ <array>
+ <array>
+ <string>Canvas 1</string>
+ <real>1.5</real>
+ <real>1</real>
+ </array>
+ </array>
+ </dict>
+</dict>
+</plist>
diff --git a/examples/Interactive Widgets/images/WidgetModelView.png b/examples/Interactive Widgets/images/WidgetModelView.png
new file mode 100644
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diff --git a/examples/Notebook/Basic Output.ipynb b/examples/Notebook/Basic Output.ipynb
deleted file mode 100644
index 0c0f90d..0000000
--- a/examples/Notebook/Basic Output.ipynb
+++ /dev/null
@@ -1,1179 +0,0 @@
-{
- "metadata": {
- "name": "",
- "signature": "sha256:441fa273fba6403e4fa6ef51f4397b1a0ca9ddec43fe8fba217b854e2c7b0377"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
- {
- "cells": [
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Basic Output"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "When a cell is run, it can generate *output*. In IPython, the definition of output is quite general; it can be text, images, LaTeX, HTML or JSON. All output is displayed below the code that generated it, in the *output area*.\n",
- "\n",
- "This Notebook describes the basics of output and shows how the `stdout/stderr` streams are handled."
- ]
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Displayhook"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "When a Python object is returned by an expression, Python's `displayhook` mechanism is triggered. In IPython, this results in an output prompt, such as `Out[2]`. These objects are then available under the variables:\n",
- "\n",
- "* `_` (last output)\n",
- "* `__` (second to last output)\n",
- "* `_N` (`Out[N]`)"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import numpy as np\n",
- "import sys"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 1
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "np.random.rand(10)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 2,
- "text": [
- "array([ 0.95903549, 0.20840774, 0.89732074, 0.72494962, 0.30424358,\n",
- " 0.03881097, 0.72698477, 0.92148251, 0.96582423, 0.95202918])"
- ]
- }
- ],
- "prompt_number": 2
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "np.sin(_)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 3,
- "text": [
- "array([ 0.81863802, 0.20690236, 0.78165864, 0.66309773, 0.29957159,\n",
- " 0.03880123, 0.66461974, 0.79649888, 0.82251797, 0.81459417])"
- ]
- }
- ],
- "prompt_number": 3
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "sys.stdout and sys.stderr"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The stdout and stderr streams are displayed as text in the output area."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "print(\"hi, stdout\")"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "hi, stdout\n"
- ]
- }
- ],
- "prompt_number": 4
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from __future__ import print_function\n",
- "print('hi, stderr', file=sys.stderr)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stderr",
- "text": [
- "hi, stderr\n"
- ]
- }
- ],
- "prompt_number": 5
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Output is asynchronous"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import time, sys\n",
- "for i in range(8):\n",
- " print(i)\n",
- " time.sleep(0.5)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "0\n",
- "1"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "2"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "3"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "4"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "5"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "6"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n",
- "7"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "\n"
- ]
- }
- ],
- "prompt_number": 6
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Large outputs"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "for i in range(50):\n",
- " print(i)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "0\n",
- "1\n",
- "2\n",
- "3\n",
- "4\n",
- "5\n",
- "6\n",
- "7\n",
- "8\n",
- "9\n",
- "10\n",
- "11\n",
- "12\n",
- "13\n",
- "14\n",
- "15\n",
- "16\n",
- "17\n",
- "18\n",
- "19\n",
- "20\n",
- "21\n",
- "22\n",
- "23\n",
- "24\n",
- "25\n",
- "26\n",
- "27\n",
- "28\n",
- "29\n",
- "30\n",
- "31\n",
- "32\n",
- "33\n",
- "34\n",
- "35\n",
- "36\n",
- "37\n",
- "38\n",
- "39\n",
- "40\n",
- "41\n",
- "42\n",
- "43\n",
- "44\n",
- "45\n",
- "46\n",
- "47\n",
- "48\n",
- "49\n"
- ]
- }
- ],
- "prompt_number": 7
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Beyond a certain point, output will scroll automatically:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "for i in range(500):\n",
- " print(2**i - 1)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
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- ]
- }
- ],
- "prompt_number": 8
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Capturing output with <tt>%%capture</tt>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "IPython has a [cell magic](Cell%20Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from __future__ import print_function\n",
- "import sys"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 9
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%capture\n",
- "print('hi, stdout')\n",
- "print('hi, stderr', file=sys.stderr)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 10
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%capture captured\n",
- "print('hi, stdout')\n",
- "print('hi, stderr', file=sys.stderr)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 11
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "captured"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 12,
- "text": [
- "<IPython.utils.capture.CapturedIO at 0x1076c9310>"
- ]
- }
- ],
- "prompt_number": 12
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Calling the object writes the output to stdout/stderr as appropriate."
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "captured()"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "hi, stdout\n"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stderr",
- "text": [
- "hi, stderr\n"
- ]
- }
- ],
- "prompt_number": 13
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "captured.stdout"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 14,
- "text": [
- "'hi, stdout\\n'"
- ]
- }
- ],
- "prompt_number": 14
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "captured.stderr"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 15,
- "text": [
- "'hi, stderr\\n'"
- ]
- }
- ],
- "prompt_number": 15
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%matplotlib inline\n",
- "import matplotlib.pyplot as plt\n",
- "import numpy as np"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 16
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%capture wontshutup\n",
- "\n",
- "print(\"setting up X\")\n",
- "x = np.linspace(0,5,1000)\n",
- "print(\"step 2: constructing y-data\")\n",
- "y = np.sin(x)\n",
- "print(\"step 3: display info about y\")\n",
- "plt.plot(x,y)\n",
- "print(\"okay, I'm done now\")"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 17
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "wontshutup()"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "setting up X\n",
- "step 2: constructing y-data\n",
- "step 3: display info about y\n",
- "okay, I'm done now\n"
- ]
- },
- {
- "metadata": {},
- "output_type": "display_data",
- "png": 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8HliyxByYdvCgafFceaW53aphQ3OoWlFOzNy7F/7v/8xr3TpYs8b8vm1bc2TD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\nAAAASUVORK5CYII=\n",
- "text": [
- "<matplotlib.figure.Figure at 0x10866ae90>"
- ]
- }
- ],
- "prompt_number": 18
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%capture cap --no-stderr\n",
- "print('hi, stdout')\n",
- "print(\"hello, stderr\", file=sys.stderr)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stderr",
- "text": [
- "hello, stderr\n"
- ]
- }
- ],
- "prompt_number": 19
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "cap.stdout"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 20,
- "text": [
- "'hi, stdout\\n'"
- ]
- }
- ],
- "prompt_number": 20
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "cap.stderr"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 21,
- "text": [
- "''"
- ]
- }
- ],
- "prompt_number": 21
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "cap.outputs"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 22,
- "text": [
- "[]"
- ]
- }
- ],
- "prompt_number": 22
- }
- ],
- "metadata": {}
- }
- ]
-}
\ No newline at end of file
diff --git a/examples/Notebook/Converting Notebooks With nbconvert.ipynb b/examples/Notebook/Converting Notebooks With nbconvert.ipynb
new file mode 100644
index 0000000..b10a5ef
--- /dev/null
+++ b/examples/Notebook/Converting Notebooks With nbconvert.ipynb
@@ -0,0 +1,496 @@
+{
+ "metadata": {
+ "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "NbConvert"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Command line usage"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`NbConvert` is the library, and the command line tool that allow to convert from notebook to other formats.\n",
+ "It is a technological preview in 1.0 but is already usable and highly configurable.\n",
+ "It ships already with many default available formats : `html`, `latex`, `markdown`, `python`, `rst` and `slides`\n",
+ "which are fully base on Jinja templating engine, so writing a converter for your custom format or tweeking the existing \n",
+ "one should be extra simple."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can invoke nbconvert by doing\n",
+ "\n",
+ "```bash\n",
+ "$ ipython nbconvert <options and arguments>\n",
+ "```\n",
+ "\n",
+ "Call `ipython nbconvert` with the `--help` flag or no aruments to get basic help on how to use it.\n",
+ "For more information about configuration use the `--help-all` flag"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Basic export"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We will be converting `Custom Display Logic.ipynb`. \n",
+ "Be sure to have runed some of the cells in it to have output otherwise you will only see input in nbconvert.\n",
+ "Nbconvert **do not execute the code** in the notebook files, it only converts what is inside."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%bash\n",
+ "ipython nbconvert '04 - Custom Display Logic.ipynb'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "[NbConvertApp] Using existing profile dir: u'/Users/bussonniermatthias/.ipython/profile_default'\n",
+ "[NbConvertApp] Converting notebook 04 - Custom Display Logic.ipynb to html\n",
+ "[NbConvertApp] Support files will be in 04 - Custom Display Logic_files/\n",
+ "[NbConvertApp] Loaded template html_full.tpl\n",
+ "[NbConvertApp] Writing 221081 bytes to 04 - Custom Display Logic.html\n"
+ ]
+ }
+ ],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Html is the default value (that can be configured) , so the verbose form would be "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%bash\n",
+ "ipython nbconvert --to=html '04 - Custom Display Logic.ipynb'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "[NbConvertApp] Using existing profile dir: u'/Users/bussonniermatthias/.ipython/profile_default'\n",
+ "[NbConvertApp] Converting notebook 04 - Custom Display Logic.ipynb to html\n",
+ "[NbConvertApp] Support files will be in 04 - Custom Display Logic_files/\n",
+ "[NbConvertApp] Loaded template html_full.tpl\n",
+ "[NbConvertApp] Writing 221081 bytes to 04 - Custom Display Logic.html\n"
+ ]
+ }
+ ],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can also convert to latex, which will take care of extractin the embeded base64 encoded png, or the svg and call inkscape to convert those svg to pdf if necessary :"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%bash\n",
+ "ipython nbconvert --to=latex '04 - Custom Display Logic.ipynb'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "[NbConvertApp] Using existing profile dir: u'/Users/bussonniermatthias/.ipython/profile_default'\n",
+ "[NbConvertApp] Converting notebook 04 - Custom Display Logic.ipynb to latex\n",
+ "[NbConvertApp] Support files will be in 04 - Custom Display Logic_files/\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26432): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26472): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26512): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26552): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26592): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "[NbConvertApp] Loaded template latex_article.tplx\n",
+ "[NbConvertApp] Writing 41196 bytes to 04 - Custom Display Logic.tex\n"
+ ]
+ }
+ ],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You should just have to compile the generated `.tex` file. If you get the required packages installed, if should compile out of the box.\n",
+ "\n",
+ "For convenience we allow to run extra action after the conversion has been done, in particular for `latex` we have a `pdf` post-processor. \n",
+ "You can define the postprocessor tu run with the `--post` flag."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%bash\n",
+ "ipython nbconvert --to=latex '04 - Custom Display Logic.ipynb' --post=pdf"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "[NbConvertApp] Using existing profile dir: u'/Users/bussonniermatthias/.ipython/profile_default'\n",
+ "[NbConvertApp] Converting notebook 04 - Custom Display Logic.ipynb to latex\n",
+ "[NbConvertApp] Support files will be in 04 - Custom Display Logic_files/\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26658): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26698): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26738): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26778): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "Setting Language: .UTF-8\n",
+ "\n",
+ "(process:26818): Gtk-WARNING **: Locale not supported by C library.\n",
+ "\tUsing the fallback 'C' locale.\n",
+ "[NbConvertApp] Loaded template latex_article.tplx\n",
+ "[NbConvertApp] Writing 41196 bytes to 04 - Custom Display Logic.tex\n",
+ "[NbConvertApp] Building PDF: ['pdflatex', '04 - Custom Display Logic.tex']\n"
+ ]
+ }
+ ],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Have a look at `04 - Custom Display Logic.pdf`, toward the end, where we compared `display()` vs `display_html()` and returning the object.\n",
+ "See how the cell where we use `display_html` was not able to display the circle, whereas the two other ones were able to select one of the oher representation they know how to display."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Customizing template"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "let's look at the first 20 lines of the `python` exporter"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pyfile = !ipython nbconvert --to python '04 - Custom Display Logic.ipynb' --stdout\n",
+ "for l in pyfile[20:40]:\n",
+ " print l"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "# 1. Implementing special display methods such as `_repr_html_`.\n",
+ "# 2. Registering a display function for a particular type.\n",
+ "# \n",
+ "# In this Notebook we show how both approaches work.\n",
+ "\n",
+ "# Before we get started, we will import the various display functions for displaying the different formats we will create.\n",
+ "\n",
+ "# In[54]:\n",
+ "\n",
+ "from IPython.display import display\n",
+ "from IPython.display import (\n",
+ " display_html, display_jpeg, display_png,\n",
+ " display_javascript, display_svg, display_latex\n",
+ ")\n",
+ "\n",
+ "\n",
+ "### Implementing special display methods\n",
+ "\n",
+ "# The main idea of the first approach is that you have to implement special display methods, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
+ "# \n"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We see that the non-code cell are exported to the file. To have a cleaner script, we will export only the code contained in the code cells.\n",
+ "\n",
+ "To do so, we will inherit the python template, and overwrite the markdown blocks to be empty."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%writefile simplepython.tpl\n",
+ "{% extends 'python.tpl'%}\n",
+ "\n",
+ "{% block markdowncell -%}\n",
+ "{% endblock markdowncell %}\n",
+ "\n",
+ "## we also want to get rig of header cell\n",
+ "{% block headingcell -%}\n",
+ "{% endblock headingcell %}\n",
+ "\n",
+ "## and let's change the appearance of input prompt\n",
+ "{% block in_prompt %}\n",
+ "# This was input cell with prompt number : {{ cell.prompt_number if cell.prompt_number else ' ' }}\n",
+ "{%- endblock in_prompt %}"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Overwriting simplepython.tpl\n"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pyfile = !ipython nbconvert --to python '04 - Custom Display Logic.ipynb' --stdout --template=simplepython.tpl\n",
+ "\n",
+ "for l in pyfile[4:40]:\n",
+ " print l\n",
+ "print '...'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "# This was input cell with prompt number : 54\n",
+ "from IPython.display import display\n",
+ "from IPython.display import (\n",
+ " display_html, display_jpeg, display_png,\n",
+ " display_javascript, display_svg, display_latex\n",
+ ")\n",
+ "\n",
+ "\n",
+ "# This was input cell with prompt number : 55\n",
+ "get_ipython().magic(u'load soln/mycircle.py')\n",
+ "\n",
+ "\n",
+ "# This was input cell with prompt number : 56\n",
+ "class MyCircle(object):\n",
+ " \n",
+ " def _repr_html_(self):\n",
+ " return \"○ (<b>html</b>)\"\n",
+ "\n",
+ " def _repr_svg_(self):\n",
+ " return \"\"\"<svg width='100px' height='100px'>\n",
+ " <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"blue\"/>\n",
+ " </svg>\"\"\"\n",
+ " \n",
+ " def _repr_latex_(self):\n",
+ " return r\"$\\bigcirc \\LaTeX$\"\n",
+ "\n",
+ " def _repr_javascript_(self):\n",
+ " return \"alert('I am a circle!');\"\n",
+ "\n",
+ "\n",
+ "# This was input cell with prompt number : 57\n",
+ "c = MyCircle()\n",
+ "\n",
+ "\n",
+ "# This was input cell with prompt number : 58\n",
+ "...\n"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "I'll let you read Jinja manual for the exact syntax of the template."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Template that use cells metadata"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Notebook fileformat support attaching arbitrary JSON metadata to each cell of a notebook. In this part we will use those metadata."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "First you need to choose another notebook you want to convert to html, and tag some of the cell with metadata.\n",
+ "You can see the file `soln/celldiff.js` for a solution on how to tag, or follow the javascript tutorial to see how to do that. Use what we have written there to tag cells of some notebooks to `Easy`|`Medium`|`Hard`|`<None>`, and convert this notebook using your template."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "you might need the following : \n",
+ "```\n",
+ "{% extends 'html_full.tpl'%}\n",
+ "{% block any_cell %}\n",
+ "{{ super() }}\n",
+ "<div style=\"background-color:red\">\n",
+ "<div style='background-color:orange'>\n",
+ "```\n",
+ "\n",
+ "`metadata` might not exist, be sure to :\n",
+ "\n",
+ "`cell['metadata'].get('example',{}).get('difficulty','')`\n",
+ "\n",
+ "tip: use `%%writefile` to edit the template in the notebook :-)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%bash\n",
+ "# ipython nbconvert --to html <your chosen notebook.ipynb> --template=<your template file>"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%loadpy soln/coloreddiff.tpl"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# ipython nbconvert --to html '04 - Custom Display Logic.ipynb' --template=soln/coloreddiff.tpl"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Get rid of all command line flags."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As of all of IPython nbconvert can be configured using profiles and passing the `--profile` flag. \n",
+ "Moreover if a `config.py` file exist in current working directory nbconvert will use that, or read the config file you give to it with the `--config=<file>` flag. \n",
+ "\n",
+ "In the end, if you are often running nbconvert on the sam project, `$ ipython nbconvert` should be enough to get you up and ready."
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Custom Display Logic.ipynb b/examples/Notebook/Custom Display Logic.ipynb
deleted file mode 100644
index facd275..0000000
--- a/examples/Notebook/Custom Display Logic.ipynb
+++ /dev/null
@@ -1,8339 +0,0 @@
-{
- "metadata": {
- "name": "",
- "signature": "sha256:906200fa9b27beaf47e1e91d3dde8ecf3376ff8aa7fe5e58aff3a2104ba975fb"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
- {
- "cells": [
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Defining Custom Display Logic for Your Own Objects"
- ]
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Overview"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n",
- "\n",
- "* HTML\n",
- "* JSON\n",
- "* PNG\n",
- "* JPEG\n",
- "* SVG\n",
- "* LaTeX\n",
- "\n",
- "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
- "\n",
- "1. Implementing special display methods such as `_repr_html_`.\n",
- "2. Registering a display function for a particular type.\n",
- "\n",
- "In this Notebook we show how both approaches work."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Parts of this notebook need the inline matplotlib backend:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%matplotlib inline\n",
- "import numpy as np\n",
- "import matplotlib.pyplot as plt"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 1
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Implementing special display methods"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The main idea of the first approach is that you have to implement special display methods, one for each representation you want to use. The names of the special methods are self explanatory:\n",
- "\n",
- "* `_repr_html_`\n",
- "* `_repr_json_`\n",
- "* `_repr_jpeg_`\n",
- "* `_repr_png_`\n",
- "* `_repr_svg_`\n",
- "* `_repr_latex_`\n",
- "\n",
- "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean and variance. Each frontend can then decide which representation it will display be default. Further, we show how to display a particular representation."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The next cell defines the Gaussian class:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.core.pylabtools import print_figure\n",
- "from IPython.display import Image, SVG, Math\n",
- "\n",
- "class Gaussian(object):\n",
- " \"\"\"A simple object holding data sampled from a Gaussian distribution.\n",
- " \"\"\"\n",
- " def __init__(self, mean=0, std=1, size=1000):\n",
- " self.data = np.random.normal(mean, std, size)\n",
- " self.mean = mean\n",
- " self.std = std\n",
- " self.size = size\n",
- " # For caching plots that may be expensive to compute\n",
- " self._png_data = None\n",
- " self._svg_data = None\n",
- " \n",
- " def _figure_data(self, format):\n",
- " fig, ax = plt.subplots()\n",
- " ax.plot(self.data, 'o')\n",
- " ax.set_title(self._repr_latex_())\n",
- " data = print_figure(fig, format)\n",
- " # We MUST close the figure, otherwise IPython's display machinery\n",
- " # will pick it up and send it as output, resulting in a double display\n",
- " plt.close(fig)\n",
- " return data\n",
- " \n",
- " # Here we define the special repr methods that provide the IPython display protocol\n",
- " # Note that for the two figures, we cache the figure data once computed.\n",
- " \n",
- " def _repr_png_(self):\n",
- " if self._png_data is None:\n",
- " self._png_data = self._figure_data('png')\n",
- " return self._png_data\n",
- "\n",
- "\n",
- " def _repr_svg_(self):\n",
- " if self._svg_data is None:\n",
- " self._svg_data = self._figure_data('svg').decode('utf-8')#.encode('utf-8')\n",
- " return self._svg_data\n",
- " \n",
- " def _repr_latex_(self):\n",
- " return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n",
- " self.std, self.size)\n",
- " \n",
- " # We expose as properties some of the above reprs, so that the user can see them\n",
- " # directly (since otherwise the client dictates which one it shows by default)\n",
- " @property\n",
- " def png(self):\n",
- " return Image(self._repr_png_(), embed=True)\n",
- " \n",
- " @property\n",
- " def svg(self):\n",
- " return SVG(self._repr_svg_())\n",
- " \n",
- " @property\n",
- " def latex(self):\n",
- " return Math(self._repr_latex_())\n",
- " \n",
- " # An example of using a property to display rich information, in this case\n",
- " # the histogram of the distribution. We've hardcoded the format to be png\n",
- " # in this case, but in production code it would be trivial to make it an option\n",
- " @property\n",
- " def hist(self):\n",
- " fig, ax = plt.subplots()\n",
- " ax.hist(self.data, bins=100)\n",
- " ax.set_title(self._repr_latex_())\n",
- " data = print_figure(fig, 'png')\n",
- " plt.close(fig)\n",
- " return Image(data, embed=True)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 2
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Now, we create an instance of the Gaussian distribution, whose default representation will be its LaTeX form:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "x = Gaussian()\n",
- "x"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "latex": [
- "$\\mathcal{N}(\\mu=0, \\sigma=1),\\ N=1000$"
- ],
- "metadata": {},
- "output_type": "pyout",
- "png": 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LyGCw3OHi5wW51XN1EVfZ2aVCH5h9bDfXzHd1EvutF1ReZJey46PbdKqqah0p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\nw9F05h+9ALJ3fsa+sVptjrKZwNnC9ipbMpbNwgpu2uWFE9Yp4nMMs3W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LyGCw3OHi5wW51XN1EVfZ2aVCH5h9bDfXzHd1EvutF1ReZJey46PbdKqqah0p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\nw9F05h+9ALJ3fsa+sVptjrKZwNnC9ipbMpbNwgpu2uWFE9Yp4nMMs3W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- " </g>\n",
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- " <defs>\n",
- " <clipPath id=\"p169ef6c7ca\">\n",
- " <rect height=\"223.2\" width=\"334.8\" x=\"24.08125\" y=\"21.56\"/>\n",
- " </clipPath>\n",
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- "</svg>"
- ],
- "text": [
- "<IPython.core.display.SVG at 0x1083d5c90>"
- ]
- }
- ],
- "prompt_number": 5
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Since IPython only displays by default as an ``Out[]`` cell the result of the last computation, we can use the\n",
- "``display()`` function to show more than one representation in a single cell:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.display import display"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 6
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "display(x.png)\n",
- "display(x.svg)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "display_data",
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MzJw5M67nDUanaH/jUomKSbRgvVT6RQcvhOVAOBUvlQ1UBS/kR384+3fu3ImdO3fGdQ8V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\nw9F05h+9ALJ3fsa+sVptjrKZwNnC9ipbMpbNwgpu2uWFE9Yp4nMMs3W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- "prompt_number": 7
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- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Now let's create a new Gaussian with different parameters"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "x2 = Gaussian(0.5, 0.2, 2000)\n",
- "x2"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "latex": [
- "$\\mathcal{N}(\\mu=0.5, \\sigma=0.2),\\ N=2000$"
- ],
- "metadata": {},
- "output_type": "pyout",
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RlNQDCxb8rt0nwR050oBz59RMNPl4bX//ycaPWthhvz3brud6QkCbgcVi8XrN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\ncvJ1LCNjn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- " <defs>\n",
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- "text": [
- "<__main__.Gaussian at 0x108861e10>"
- ]
- }
- ],
- "prompt_number": 8
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "We can easily compare them by displaying their histograms"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "display(x.hist)\n",
- "display(x2.hist)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "display_data",
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ORK5CYII=\n",
- "text": [
- "<IPython.core.display.Image at 0x1083d5f90>"
- ]
- },
- {
- "metadata": {},
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5ZC9GwPHzx6XJ3GQyQa1WAwDUarXdX+SNGzdQUFCApKQkV4bRhrUBTnfu3LG7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\n/D/hAXsTS4KaZAAAAABJRU5ErkJggg==\n",
- "text": [
- "<IPython.core.display.Image at 0x104eac510>"
- ]
- }
- ],
- "prompt_number": 9
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Adding IPython display support to existing objects"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "When you are directly writing your own classes, you can adapt them for display in IPython by following the above example. But in practice, we often need to work with existing code we can't modify. We now illustrate how to add these kinds of extended display capabilities to existing objects. We will use the NumPy polynomials and change their default representation to be a formatted LaTeX expression."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "First, consider how a numpy polynomial object renders by default:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "p = np.polynomial.Polynomial([1,2,3], [-10, 10])\n",
- "p"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 10,
- "text": [
- "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])"
- ]
- }
- ],
- "prompt_number": 10
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Next, we define a function that pretty-prints a polynomial as a LaTeX string:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "def poly2latex(p):\n",
- " terms = ['%.2g' % p.coef[0]]\n",
- " if len(p) > 1:\n",
- " term = 'x'\n",
- " c = p.coef[1]\n",
- " if c!=1:\n",
- " term = ('%.2g ' % c) + term\n",
- " terms.append(term)\n",
- " if len(p) > 2:\n",
- " for i in range(2, len(p)):\n",
- " term = 'x^%d' % i\n",
- " c = p.coef[i]\n",
- " if c!=1:\n",
- " term = ('%.2g ' % c) + term\n",
- " terms.append(term)\n",
- " px = '$P(x)=%s$' % '+'.join(terms)\n",
- " dom = r', domain: $[%.2g,\\ %.2g]$' % tuple(p.domain)\n",
- " return px+dom"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 11
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "This produces, on our polynomial ``p``, the following:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "poly2latex(p)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 12,
- "text": [
- "'$P(x)=1+2 x+3 x^2$, domain: $[-10,\\\\ 10]$'"
- ]
- }
- ],
- "prompt_number": 12
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.display import Latex\n",
- "Latex(poly2latex(p))"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "latex": [
- "$P(x)=1+2 x+3 x^2$, domain: $[-10,\\ 10]$"
- ],
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 13,
- "text": [
- "<IPython.core.display.Latex at 0x1083cbe10>"
- ]
- }
- ],
- "prompt_number": 13
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "But we can configure IPython to do this automatically for us as follows. We hook into the\n",
- "IPython display system and instruct it to use ``poly2latex`` for the latex mimetype, when\n",
- "encountering objects of the ``Polynomial`` type defined in the\n",
- "``numpy.polynomial.polynomial`` module:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "ip = get_ipython()\n",
- "latex_formatter = ip.display_formatter.formatters['text/latex']\n",
- "latex_formatter.for_type_by_name('numpy.polynomial.polynomial',\n",
- " 'Polynomial', poly2latex)"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 14
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "For more examples on how to use the above system, and how to bundle similar print functions\n",
- "into a convenient IPython extension, see sympy's [`printing` extension](https://github.com/sympy/sympy/blob/master/sympy/interactive/printing.py).\n",
- "\n",
- "Once our special printer has been loaded, all polynomials will be represented by their \n",
- "mathematical form instead:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "p"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "latex": [
- "$P(x)=1+2 x+3 x^2$, domain: $[-10,\\ 10]$"
- ],
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 15,
- "text": [
- "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])"
- ]
- }
- ],
- "prompt_number": 15
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])\n",
- "p2"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "latex": [
- "$P(x)=-20+71 x+-15 x^2+x^3$, domain: $[-1,\\ 1]$"
- ],
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 16,
- "text": [
- "Polynomial([-20., 71., -15., 1.], [-1., 1.], [-1., 1.])"
- ]
- }
- ],
- "prompt_number": 16
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "More complex display with `_ipython_display_`"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Rich reprs can only display one object or mime-type at a time.\n",
- "Sometimes this is not enough,\n",
- "because you need to get javascript on the page, or you want LaTeX and a PNG.\n",
- "This can be done with multiple calls to display easily enough,\n",
- "but then users need to know more than they should.\n",
- "\n",
- "In **IPython 2.0**, we added a special `_ipython_display_` method,\n",
- "that allows your objects to take control of displaying.\n",
- "If this method is defined, IPython will call it, and make no effort to display the object itself.\n",
- "It's a way for you to say \"Back off, IPython, I got this.\""
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import json\n",
- "import uuid\n",
- "from IPython.display import display_javascript, display_html, display\n",
- "\n",
- "class FlotPlot(object):\n",
- " def __init__(self, x, y):\n",
- " self.x = x\n",
- " self.y = y\n",
- " self.uuid = str(uuid.uuid4())\n",
- " \n",
- " def _ipython_display_(self):\n",
- " json_data = json.dumps(zip(self.x, self.y))\n",
- " display_html('<div id=\"{}\" style=\"height: 300px; width:80%;\"></div>'.format(self.uuid),\n",
- " raw=True\n",
- " )\n",
- " display_javascript(\"\"\"\n",
- " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
- " var line = JSON.parse(\"%s\");\n",
- " console.log(line);\n",
- " $.plot(\"#%s\", [line]);\n",
- " });\n",
- " \"\"\" % (json_data, self.uuid), raw=True)\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 17
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import numpy as np\n",
- "x = np.linspace(0,10)\n",
- "y = np.sin(x)\n",
- "FlotPlot(x, np.sin(x))"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "html": [
- "<div id=\"47ba8d73-8a8b-4a34-b96b-378e969797f2\" style=\"height: 300px; width:80%;\"></div>"
- ],
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "javascript": [
- "\n",
- " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
- " var line = JSON.parse(\"[[0.0, 0.0], [0.20408163265306123, 0.20266793654820095], [0.40816326530612246, 0.39692414892492234], [0.61224489795918369, 0.57470604121617908], [0.81632653061224492, 0.72863478346935029], [1.0204081632653061, 0.85232156971961837], [1.2244897959183674, 0.94063278511248671], [1.4285714285714286, 0.98990307637212394], [1.6326530612244898, 0.99808748213471832], [1.8367346938775511, 0.96484630898376322], [2.0408163265306123, 0.89155923041100371], [2.2448979591836737, 0.7812680235262639], [2.4489795918367347, 0.63855032022660208], [2.6530612244897958, 0.46932961277720098], [2.8571428571428572, 0.28062939951435684], [3.0612244897959187, 0.080281674842813497], [3.2653061224489797, -0.12339813736217871], [3.4693877551020407, -0.32195631507261868], [3.6734693877551021, -0.50715170948451438], [3.8775510204081636, -0.67129779355193209], [4.0816326530612246, -0.80758169096833643], [4.2857142857142856, -0.91034694431078278], [4.4897959183673475, -0.97532828606704558], [4.6938775510204085, -0.99982866838408957], [4.8979591836734695, -0.98283120392563061], [5.1020408163265305, -0.92504137173820289], [5.3061224489795915, -0.82885773637304272], [5.5102040816326534, -0.69827239556539955], [5.7142857142857144, -0.53870528838615628], [5.9183673469387754, -0.35677924089893803], [6.1224489795918373, -0.16004508604325057], [6.3265306122448983, 0.043331733368683463], [6.5306122448979593, 0.24491007101197931], [6.7346938775510203, 0.43632342647181932], [6.9387755102040813, 0.6096271964908323], [7.1428571428571432, 0.75762841539272019], [7.3469387755102042, 0.87418429881973347], [7.5510204081632653, 0.95445719973875187], [7.7551020408163271, 0.99511539477766364], [7.9591836734693882, 0.99447136726361685], [8.1632653061224492, 0.95255184753146038], [8.3673469387755102, 0.87109670348232071], [8.5714285714285712, 0.75348672743963763], [8.7755102040816322, 0.60460331650615429], [8.979591836734695, 0.43062587038273736], [9.183673469387756, 0.23877531564403087], [9.387755102040817, 0.037014401485062368], [9.591836734693878, -0.16628279384875641], [9.795918367346939, -0.36267842882654883], [10.0, -0.54402111088936989]]\");\n",
- " console.log(line);\n",
- " $.plot(\"#47ba8d73-8a8b-4a34-b96b-378e969797f2\", [line]);\n",
- " });\n",
- " "
- ],
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "prompt_number": 18
- }
- ],
- "metadata": {}
- }
- ]
-}
\ No newline at end of file
diff --git a/examples/Notebook/Custom Keyboard Shortcuts.ipynb b/examples/Notebook/Custom Keyboard Shortcuts.ipynb
new file mode 100644
index 0000000..53640b4
--- /dev/null
+++ b/examples/Notebook/Custom Keyboard Shortcuts.ipynb
@@ -0,0 +1,149 @@
+{
+ "metadata": {
+ "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Keyboard Shortcut Customization"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Starting with IPython 2.0 keyboard shortcuts in command and edit mode are fully customizable. These customizations are made using the IPython JavaScript API. Here is an example that makes the `r` key available for running a cell:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', {\n",
+ " help : 'run cell',\n",
+ " help_index : 'zz',\n",
+ " handler : function (event) {\n",
+ " IPython.notebook.execute_cell();\n",
+ " return false;\n",
+ " }}\n",
+ ");"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "javascript": [
+ "\n",
+ "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', {\n",
+ " help : 'run cell',\n",
+ " help_index : 'zz',\n",
+ " handler : function (event) {\n",
+ " IPython.notebook.execute_cell();\n",
+ " return false;\n",
+ " }}\n",
+ ");"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.Javascript at 0x10e8d1890>"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are a couple of points to mention about this API:\n",
+ "\n",
+ "* The `help_index` field is used to sort the shortcuts in the Keyboard Shortcuts help dialog. It defaults to `zz`.\n",
+ "* When a handler returns `false` it indicates that the event should stop propagating and the default action should not be performed. For further details about the `event` object or event handling, see the jQuery docs.\n",
+ "* If you don't need a `help` or `help_index` field, you can simply pass a function as the second argument to `add_shortcut`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', function (event) {\n",
+ " IPython.notebook.execute_cell();\n",
+ " return false;\n",
+ "});"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "javascript": [
+ "\n",
+ "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', function (event) {\n",
+ " IPython.notebook.execute_cell();\n",
+ " return false;\n",
+ "});"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.Javascript at 0x1019baf90>"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Likewise, to remove a shortcut, use `remove_shortcut`:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "\n",
+ "IPython.keyboard_manager.command_shortcuts.remove_shortcut('r');"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "javascript": [
+ "\n",
+ "IPython.keyboard_manager.command_shortcuts.remove_shortcut('r');"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.Javascript at 0x10e8d1950>"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you want your keyboard shortcuts to be active for all of your notebooks, put the above API calls into your `<profile>/static/custom/custom.js` file."
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Index.ipynb b/examples/Notebook/Index.ipynb
index 1454ce0..52763dc 100644
--- a/examples/Notebook/Index.ipynb
+++ b/examples/Notebook/Index.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:c9fdf35bcd07c381b988af18346fceeb08107ce216817e4bd398641e9c93ecc1"
+ "signature": "sha256:fe084460e647ed671f6335e872a6b8e83a00f03dd2c1c47122f99e1218164cf4"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -34,7 +34,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The IPython Notebook is a web-based interactive computing system that enables users to author documents that include live code, narrative text, LaTeX equations, HTML, images and video. These documents are contain a full record of a computation and its results and can be shared on email, [Dropbox](http://dropbox.com), version control systems (like git/[GitHub](http://github.com)) or [nbviewer.ipython.org](http://nbviewer.ipython.org)."
+ "The IPython Notebook is a web-based interactive computing system that enables users to author documents that include live code, narrative text, LaTeX equations, HTML, images and video. These documents contain a full record of a computation and its results and can be shared on email, [Dropbox](http://dropbox.com), version control systems (like git/[GitHub](http://github.com)) or [nbviewer.ipython.org](http://nbviewer.ipython.org)."
]
},
{
@@ -49,14 +49,16 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "* [User Interface](User Interface.ipynb)\n",
+ "* [What is the IPython Notebook?](What is the IPython Notebook%3F.ipynb)\n",
+ "* [Running the Notebook Server](Running the Notebook Server.ipynb)\n",
+ "* [Notebook Basics](Notebook Basics.ipynb)\n",
"* [Running Code](Running Code.ipynb)\n",
- "* [Basic Output](Basic Output.ipynb)\n",
- "* [Plotting with Matplotlib](Plotting with Matplotlib.ipynb)\n",
- "* [Markdown Cells](Markdown Cells.ipynb)\n",
- "* [Typesetting Math Using MathJax](Typesetting Math Using MathJax.ipynb)\n",
- "* [Display System](Display System.ipynb)\n",
- "* [Custom Display Logic](Custom Display Logic.ipynb)"
+ "* [Working With Markdown Cells](Working With Markdown Cells.ipynb)\n",
+ "* [Custom Keyboard Shortcuts](Custom Keyboard Shortcuts.ipynb)\n",
+ "* [JavaScript Notebook Extensions](JavaScript Notebook Extensions.ipynb)\n",
+ "* [Notebook Security](Notebook Security.ipynb)\n",
+ "* [Converting Notebooks With nbconvert](Converting Notebooks With nbconvert.ipynb)\n",
+ "* [Using nbconvert as a Library](Using nbconvert as a Library.ipynb)"
]
},
{
@@ -71,12 +73,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "* [Trapezoid Rule](Trapezoid Rule.ipynb)\n",
- "* [SymPy](SymPy.ipynb)\n",
- "* [Raw Input](Raw Input.ipynb)\n",
"* [Importing Notebooks](Importing Notebooks.ipynb)\n",
"* [Connecting with the Qt Console](Connecting with the Qt Console.ipynb)\n",
- "* [Animations Using clear_output](Animations Using clear_output.ipynb)"
+ "* [Typesetting Equations](Typesetting Equations.ipynb)"
]
}
],
diff --git a/examples/Notebook/JavaScript Notebook Extensions.ipynb b/examples/Notebook/JavaScript Notebook Extensions.ipynb
new file mode 100644
index 0000000..6655bd4
--- /dev/null
+++ b/examples/Notebook/JavaScript Notebook Extensions.ipynb
@@ -0,0 +1,770 @@
+{
+ "metadata": {
+ "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Embrasing web standards"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "One of the main reason that allowed us to developp the current notebook web application \n",
+ "was to embrase the web technology. \n",
+ "\n",
+ "By beeing a pure web application using HTML, Javascript and CSS, the Notebook can get \n",
+ "all the web technology improvement for free. Thus, as browsers support for different \n",
+ "media extend, The notebook web app should be able to be compatible without modification. \n",
+ "\n",
+ "This is also true with performance of the User Interface as the speed of javascript VM increase. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The other advantage of using only web technology is that the code of the interface is fully accessible to the end user, and modifiable live.\n",
+ "Even if this task is not always easy, we strive to keep our code as accessible and reusable as possible.\n",
+ "This should allow with minimum effort to develop small extensions that customize the behavior of the web interface. "
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Tempering with Notebook app"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The first tool that is availlable to you and that you shoudl be aware of are browser \"developpers tool\". The exact naming can change across browser, and might require the installation of extensions. But basically they can allow you to inspect/modify the DOM, and interact with the javascript code that run the frontend.\n",
+ "\n",
+ " - In Chrome and safari Developper tools are in the menu [Put mmenu name in english here] \n",
+ " - In firefox you might need to install [Firebug](http://getfirebug.com/)\n",
+ " - others ?\n",
+ " \n",
+ "Those will be your best friends to debug and try different approach for your extensions."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Injecting JS"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "using magics"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Above tools can be tedious to edit long javascipt files. Hopefully we provide the `%%javascript` magic. This allows you to quickly inject javascript into the notebook. Still the javascript injected this way will not survive reloading. Hence it is a good tool for testing an refinig a script.\n",
+ "\n",
+ "You might see here and there people modifying css and injecting js into notebook by reading file and publishing them into the notebook.\n",
+ "Not only this often break the flow of the notebook and make the re-execution of the notebook broken, but it also mean that you need to execute those cells on all the notebook every time you need to update the code.\n",
+ "\n",
+ "This can still be usefull in some cases, like the `%autosave` magic that allows to control the time between each save. But this can be replaced by a Javascript dropdown menu to select save interval."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "## you can inspect the autosave code to see what it does.\n",
+ "%autosave??"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "custom.js"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To inject Javascript we provide an entry point: `custom.js` that allow teh user to execute and load other resources into the notebook.\n",
+ "Javascript code in `custom.js` will be executed when the notebook app start and can then be used to customise almost anything in the UI and in the behavior of the notebook.\n",
+ "\n",
+ "`custom.js` can be found in IPython profile dir, and so you can have different UI modification on a per profile basis, as well as share your modfication with others."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 5,
+ "metadata": {},
+ "source": [
+ "Because we like you...."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You have been provided with an already existing profile folder with this tutorial...\n",
+ "start the notebook from the root of the tutorial directory with :\n",
+ "\n",
+ "```bash\n",
+ "$ ipython notebook --ProfileDir.location=./profile_euroscipy\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 5,
+ "metadata": {},
+ "source": [
+ "but back to theory"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "profile_dir = ! ipython locate\n",
+ "profile_dir = profile_dir[0]\n",
+ "profile_dir"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 1,
+ "text": [
+ "'/Users/bussonniermatthias/.ipython'"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "and custom js is in "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import os.path\n",
+ "custom_js_path = os.path.join(profile_dir,'profile_default','static','custom','custom.js')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# my custom js\n",
+ "with open(custom_js_path) as f:\n",
+ " for l in f: \n",
+ " print l,"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "// we want strict javascript that fails\n",
+ "// on ambiguous syntax\n",
+ "\"using strict\";\n",
+ "\n",
+ "// notebook loaded is not perfect as it is re-triggerd on\n",
+ "// revert to checkpoint but this allow extesnsion to be loaded\n",
+ "// late enough to work.\n",
+ "$([IPython.events]).on('notebook_loaded.Notebook', function(){\n",
+ "\n",
+ "\n",
+ " /** Use path to js file relative to /static/ dir without leading slash, or\n",
+ " * js extension.\n",
+ " * Link directly to file is js extension isa simple file\n",
+ " *\n",
+ " * first argument of require is a **list** that can contains several modules if needed.\n",
+ " **/\n",
+ "\n",
+ " //require(['custom/noscroll']);\n",
+ " // require(['custom/clean_start'])\n",
+ " // require(['custom/toggle_all_line_number'])\n",
+ " // require(['custom/gist_it']);\n",
+ " // require(['custom/autosavetime']);\n",
+ "\n",
+ " /**\n",
+ " * Link to entrypoint if extesnsion is a folder.\n",
+ " * to be consistent with commonjs module, the entrypoint is main.js\n",
+ " * here youcan also trigger a custom function on load that will do extra\n",
+ " * action with the module if needed\n",
+ " **/\n",
+ " require(['custom/slidemode/main'])\n",
+ "\n",
+ " // require(['custom/autoscroll']);\n",
+ "\n",
+ " //require(['custom/css_selector/main'])\n",
+ " require(['custom/pre_exec_strip']);\n",
+ " // require(['custom/no_exec_dunder']);\n",
+ " // load_ext('nbviewer_theme')\n",
+ "\n",
+ "\n",
+ " require(['custom/clippytip/main']);\n",
+ "\n",
+ " IPython.toolbar.add_buttons_group([\n",
+ " {\n",
+ " 'label' : 'run qtconsole',\n",
+ " 'icon' : 'icon-paper-clip', // select your icon from http://jqueryui.com/themeroller/\n",
+ " 'callback': function(){\n",
+ " IPython.tooltip.remove_and_cancel_tooltip(true)\n",
+ " $('#tooltip').empty() \n",
+ " $('#tooltip').attr('style','') \n",
+ " IPython.tooltip = new IPython.ClippyTip()\n",
+ " }\n",
+ " },\n",
+ " {\n",
+ " 'label' : 'run qtconsole',\n",
+ " 'icon' : 'icon-th-large', // select your icon from http://jqueryui.com/themeroller/\n",
+ " 'callback': function(){\n",
+ " IPython.tooltip.remove_and_cancel_tooltip(true)\n",
+ " $('#tooltip').empty() \n",
+ " $('#tooltip').attr('style','')\n",
+ " IPython.tooltip = new IPython.Tooltip()\n",
+ " }\n",
+ " }\n",
+ " // add more button here if needed.\n",
+ " ]);\n",
+ " //\n",
+ "\n",
+ "});\n",
+ "\n",
+ "/*\n",
+ "$([IPython.events]).on('notebook_loaded.Notebook', function(){\n",
+ " IPython.toolbar.add_buttons_group([\n",
+ " {\n",
+ " 'label' : 'run qtconsole',\n",
+ " 'icon' : 'ui-icon-calculator',\n",
+ " 'callback': function(){IPython.notebook.kernel.execute('%qtconsole')}\n",
+ " }\n",
+ " ]);\n",
+ "});\n",
+ "*/\n",
+ "\n",
+ "//$([IPython.events]).on('notebook_loaded.Notebook', function(){\n",
+ "// mobile_preset = []\n",
+ "// var edit = function(div, cell) {\n",
+ "// var button_container = $(div);\n",
+ "// var button = $('<div/>').button({icons:{primary:'ui-icon-pencil'}});\n",
+ "// button.click(function(){\n",
+ "// cell.edit()\n",
+ "// })\n",
+ "// button_container.append(button);\n",
+ "// }\n",
+ "//\n",
+ "// IPython.CellToolbar.register_callback('mobile.edit',edit);\n",
+ "// mobile_preset.push('mobile.edit');\n",
+ "//\n",
+ "// IPython.CellToolbar.register_preset('Mobile',mobile_preset);\n",
+ "//});\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Note that `custom.js` is ment to be modified by user, when writing a script, you can define it in a separate file and add a line of configuration into `custom.js` that will fetch and execute the file."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Warning** : even if modification of `custom.js` take effect immediately after browser refresh (except if browser cache is aggressive), *creating* a file in `static/` directory need a **server restart**."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Exercise :"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " - Create a `custom.js` in the right location with the following content:\n",
+ "```javascript\n",
+ "alert(\"hello world from custom.js\")\n",
+ "```\n",
+ "\n",
+ " - Restart your server and open any notebook.\n",
+ " - Be greeted by custom.js"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Have a look at [default custom.js](https://github.com/ipython/ipython/blob/1.x/IPython/html/static/custom/custom.js), to see it's content and some more explanation."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "For the quick ones : "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We've seen above that you can change the autosave rate by using a magic. This is typically something I don't want to type everytime, and that I don't like to embed into my workwlow and documents. (reader don't care what my autosave time is), let's build an extension that allow to do it. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "foo": true
+ },
+ "source": [
+ "Create a dropdow elemement in the toolbar (DOM `IPython.toolbar.element`), you will need \n",
+ "\n",
+ "- `IPython.notebook.set_autosave_interval(miliseconds)`\n",
+ "- know that 1min = 60 sec, and 1 sec = 1000 ms"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "```javascript\n",
+ "\n",
+ "var label = jQuery('<label/>').text('AutoScroll Limit:');\n",
+ "var select = jQuery('<select/>')\n",
+ " //.append(jQuery('<option/>').attr('value', '2').text('2min (default)'))\n",
+ " .append(jQuery('<option/>').attr('value', undefined).text('disabled'))\n",
+ "\n",
+ " // TODO:\n",
+ " //the_toolbar_element.append(label)\n",
+ " //the_toolbar_element.append(select);\n",
+ " \n",
+ "select.change(function() {\n",
+ " var val = jQuery(this).val() // val will be the value in [2]\n",
+ " // TODO\n",
+ " // this will be called when dropdown changes\n",
+ "\n",
+ "});\n",
+ "\n",
+ "var time_m = [1,5,10,15,30];\n",
+ "for (var i=0; i < time_m.length; i++) {\n",
+ " var ts = time_m[i];\n",
+ " //[2] ____ this will be `val` on [1] \n",
+ " // | \n",
+ " // v \n",
+ " select.append($('<option/>').attr('value', ts).text(thr+'min'));\n",
+ " // this will fill up the dropdown `select` with\n",
+ " // 1 min\n",
+ " // 5 min\n",
+ " // 10 min\n",
+ " // 10 min\n",
+ " // ...\n",
+ "}\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "A non interactive example first"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "I like my cython to be nicely highlighted\n",
+ "\n",
+ "```javascript\n",
+ "IPython.config.cell_magic_highlight['magic_text/x-cython'] = {}\n",
+ "IPython.config.cell_magic_highlight['magic_text/x-cython'].reg = [/^%%cython/]\n",
+ "```\n",
+ "\n",
+ "`text/x-cython` is the name of CodeMirror mode name, `magic_` prefix will just patch the mode so that the first line that contains a magic does not screw up the highlighting. `reg`is a list or regular expression that will trigger the change of mode."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Get more docs"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Sadly you will have to read the js source file (but there are lots of comments) an/or build the javascript documentation using yuidoc.\n",
+ "If you have `node` and `yui-doc` installed:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "```bash\n",
+ "$ cd ~/ipython/IPython/html/static/notebook/js/\n",
+ "$ yuidoc . --server\n",
+ "warn: (yuidoc): Failed to extract port, setting to the default :3000\n",
+ "info: (yuidoc): Starting YUIDoc@0.3.45 using YUI@3.9.1 with NodeJS@0.10.15\n",
+ "info: (yuidoc): Scanning for yuidoc.json file.\n",
+ "info: (yuidoc): Starting YUIDoc with the following options:\n",
+ "info: (yuidoc):\n",
+ "{ port: 3000,\n",
+ " nocode: false,\n",
+ " paths: [ '.' ],\n",
+ " server: true,\n",
+ " outdir: './out' }\n",
+ "info: (yuidoc): Scanning for yuidoc.json file.\n",
+ "info: (server): Starting server: http://127.0.0.1:3000\n",
+ "```\n",
+ "\n",
+ "and browse http://127.0.0.1:3000 to get docs"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {
+ "foo": true
+ },
+ "source": [
+ "Some convenience methods"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "By browsing the doc you will see that we have soem convenience methods that avoid to re-invent the UI everytime :\n",
+ "```javascript\n",
+ "IPython.toolbar.add_buttons_group([\n",
+ " {\n",
+ " 'label' : 'run qtconsole',\n",
+ " 'icon' : 'icon-terminal', // select your icon from \n",
+ " // http://fortawesome.github.io/Font-Awesome/icons/\n",
+ " 'callback': function(){IPython.notebook.kernel.execute('%qtconsole')}\n",
+ " }\n",
+ " // add more button here if needed.\n",
+ " ]);\n",
+ "```\n",
+ "with a [lot of icons] you can select from. \n",
+ "\n",
+ "[lot of icons]: http://fortawesome.github.io/Font-Awesome/icons/"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "foo": true
+ },
+ "source": [
+ "Cell Metadata"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "foo": true
+ },
+ "source": [
+ "The most requested feature is generaly to be able to distinguish individual cell in th enotebook, or run specific action with them.\n",
+ "To do so, you can either use `IPython.notebook.get_selected_cell()`, or rely on `CellToolbar`. This allow you to register aset of action and graphical element that will be attached on individual cells."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Cell Toolbar"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can see some example of what can be done by toggling the `Cell Toolbar` selector in the toolbar on top of the notebook. It provide two default `presets` that are `Default` and `slideshow`. Default allow edit the metadata attached to each cell manually."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "First we define a function that takes at first parameter an element on the DOM in which to inject UI element. Second element will be the cell this element will be registerd with. Then we will need to register that function ad give it a name.\n"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Register a callback"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "var CellToolbar = IPython.CellToolbar\n",
+ "var toggle = function(div, cell) {\n",
+ " var button_container = $(div)\n",
+ "\n",
+ " // let's create a button that show the current value of the metadata\n",
+ " var button = $('<button/>').addClass('btn btn-mini').text(String(cell.metadata.foo));\n",
+ "\n",
+ " // On click, change the metadata value and update the button label\n",
+ " button.click(function(){\n",
+ " var v = cell.metadata.foo;\n",
+ " cell.metadata.foo = !v;\n",
+ " button.text(String(!v));\n",
+ " })\n",
+ "\n",
+ " // add the button to the DOM div.\n",
+ " button_container.append(button);\n",
+ "}\n",
+ "\n",
+ " // now we register the callback under the name foo to give the\n",
+ " // user the ability to use it later\n",
+ " CellToolbar.register_callback('tuto.foo', toggle);"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "javascript": [
+ "var CellToolbar = IPython.CellToolbar\n",
+ "var toggle = function(div, cell) {\n",
+ " var button_container = $(div)\n",
+ "\n",
+ " // let's create a button that show the current value of the metadata\n",
+ " var button = $('<button/>').addClass('btn btn-mini').text(String(cell.metadata.foo));\n",
+ "\n",
+ " // On click, change the metadata value and update the button label\n",
+ " button.click(function(){\n",
+ " var v = cell.metadata.foo;\n",
+ " cell.metadata.foo = !v;\n",
+ " button.text(String(!v));\n",
+ " })\n",
+ "\n",
+ " // add the button to the DOM div.\n",
+ " button_container.append(button);\n",
+ "}\n",
+ "\n",
+ " // now we register the callback under the name foo to give the\n",
+ " // user the ability to use it later\n",
+ " CellToolbar.register_callback('tuto.foo', toggle);"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.Javascript at 0x10c94a590>"
+ ]
+ }
+ ],
+ "prompt_number": 51
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Registering a preset"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This function can now be part of many `preset` of the CellToolBar."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%%javascript\n",
+ "IPython.CellToolbar.register_preset('Tutorial 1',['tuto.foo','default.rawedit'])\n",
+ "IPython.CellToolbar.register_preset('Tutorial 2',['slideshow.select','tuto.foo'])"
+ ],
+ "language": "python",
+ "metadata": {
+ "foo": true,
+ "slideshow": {
+ "slide_type": "subslide"
+ }
+ },
+ "outputs": [
+ {
+ "javascript": [
+ "IPython.CellToolbar.register_preset('Tutorial 1',['tuto.foo','default.rawedit'])\n",
+ "IPython.CellToolbar.register_preset('Tutorial 2',['slideshow.select','tuto.foo'])"
+ ],
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<IPython.core.display.Javascript at 0x10c94a510>"
+ ]
+ }
+ ],
+ "prompt_number": 54
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You should now have access to two presets :\n",
+ "\n",
+ " - Tutorial 1\n",
+ " - Tutorial 2\n",
+ " \n",
+ "And check that the buttons you defin share state when you toggle preset. \n",
+ "Check moreover that the metadata of the cell is modified when you clisk the button, and that when saved on reloaded the metadata is still availlable."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Exercise:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Try to wrap the all code in a file, put this file in `{profile}/static/custom/<a-name>.js`, and add \n",
+ "\n",
+ "```\n",
+ "require(['custom/<a-name>']);\n",
+ "```\n",
+ "\n",
+ "in `custom.js` to have this script automatically loaded in all your notebooks.\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`require` is provided by a [javascript library](http://requirejs.org/) that allow to express dependency. For simple extension like the previous one we directly mute the global namespace, but for more complexe extension you could pass acallback to `require([...], <callback>)` call, to allow the user to pass configuration information to your plugin.\n",
+ "\n",
+ "In Python lang, \n",
+ "\n",
+ "```javascript\n",
+ "require(['a/b', 'c/d'], function( e, f){\n",
+ " e.something()\n",
+ " f.something()\n",
+ "})\n",
+ "```\n",
+ "\n",
+ "could be read as\n",
+ "```python\n",
+ "import a.b as e\n",
+ "import c.d as f\n",
+ "e.something()\n",
+ "f.something()\n",
+ "```\n",
+ "\n",
+ "\n",
+ "See for example @damianavila [\"ZenMode\" plugin](https://github.com/ipython-contrib/IPython-notebook-extensions/blob/master/custom.example.js#L34) :\n",
+ "\n",
+ "```javascript\n",
+ "\n",
+ "// read that as\n",
+ "// import custom.zenmode.main as zenmode\n",
+ "require(['custom/zenmode/main'],function(zenmode){\n",
+ " zenmode.background('images/back12.jpg');\n",
+ "})\n",
+ "```\n"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "For the quickest"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Try to use [the following](https://github.com/ipython/ipython/blob/1.x/IPython/html/static/notebook/js/celltoolbar.js#L367) to bind a dropdown list to `cell.metadata.difficulty.select`. \n",
+ "\n",
+ "It should be able to take the 4 following values :\n",
+ "\n",
+ " - `<None>`\n",
+ " - `Easy`\n",
+ " - `Medium`\n",
+ " - `Hard`\n",
+ " \n",
+ "We will use it to customise the output of the converted notebook depending of the tag on each cell"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%load soln/celldiff.js"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Notebook Basics.ipynb b/examples/Notebook/Notebook Basics.ipynb
new file mode 100644
index 0000000..958316f
--- /dev/null
+++ b/examples/Notebook/Notebook Basics.ipynb
@@ -0,0 +1,254 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:1a6a6a01ea6dbb9b101174c11ba522cb145e4a070685a43a71b5ccdb75672909"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "Notebook Basics"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook assumes that you already have IPython [installed](http://ipython.org/install.html) and are able to start the notebook server by running:\n",
+ "\n",
+ " ipython notebook\n",
+ "\n",
+ "For more details on how to run the notebook server, see [Running the Notebook Server](Running the Notebook Server.ipynb)."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "The Notebook dashboard"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When you first start the notebook server, your browser will open to the notebook dashboard. The dashboard serves as a home page for the notebook. Its main purpose is to display the notebooks in the current directory. For example, here is a screenshot of the dashboard page for the `examples` directory in the IPython repository:\n",
+ "\n",
+ "<img src=\"images/dashboard_notebooks_tab.png\" />\n",
+ "\n",
+ "The top of the notebook list displays clickable breadcrumbs of the current directory. By clicking on these breadcrumbs or on sub-directories in the notebook list, you can navigate your file system.\n",
+ "\n",
+ "To create a new notebook, click on the \"New Notebook\" button at the top of the list.\n",
+ "\n",
+ "Notebooks can be uploaded to the current directory by dragging a notebook file onto the notebook list or by the \"click here\" text above the list.\n",
+ "\n",
+ "The notebook list shows a red \"Shutdown\" button for running notebooks and a \"Delete\" button for stopped notebooks. Notebook remain running until you explicitly click the \"Shutdown\" button; closing the notebook's page is not sufficient.\n",
+ "\n",
+ "To see all of your running notebooks along with their directories, click on the \"Running\" tab:\n",
+ "\n",
+ "<img src=\"images/dashboard_running_tab.png\" />\n",
+ "\n",
+ "This view provides a convenient way to track notebooks that you start as you navigate the file system in a long running notebook server."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Overview of the Notebook UI"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"alert\">\n",
+ "As of IPython 2.0, the user interface has changed significantly. Because of this we highly recommend existing users to review this information after upgrading to IPython 2.0. All new users of IPython should review this information as well.\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you create a new notebook or open an existing one, you will be taken to the notebook user interface (UI). This UI allows you to run code and author notebook documents interactively. The notebook UI has the following main areas:\n",
+ "\n",
+ "* Menu\n",
+ "* Toolbar\n",
+ "* Notebook area and cells\n",
+ "\n",
+ "IPython 2.0 has an interactive tour of these elements that can be started in the \"Help:User Interface Tour\" menu item."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Modal editor"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Starting with IPython 2.0, the IPython Notebook has a modal user interface. This means that the keyboard does different things depending on which mode the Notebook is in. There are two modes: edit mode and command mode."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Edit mode"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Edit mode is indicated by a green cell border and a prompt showing in the editor area:\n",
+ "\n",
+ "<img src=\"images/edit_mode.png\">\n",
+ "\n",
+ "When a cell is in edit mode, you can type into the cell, like a normal text editor."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"alert alert-success\">\n",
+ "Enter edit mode by pressing `Enter` or using the mouse to click on a cell's editor area.\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Command mode"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Command mode is indicated by a grey cell border:\n",
+ "\n",
+ "<img src=\"images/command_mode.png\">\n",
+ "\n",
+ "When you are in command mode, you are able to edit the notebook as a whole, but not type into individual cells. Most importantly, in command mode, the keyboard is mapped to a set of shortcuts that let you perform notebook and cell actions efficiently. For example, if you are in command mode and you press `c`, you will copy the current cell - no modifier is needed."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"alert alert-error\">\n",
+ "Don't try to type into a cell in command mode; unexpected things will happen!\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<div class=\"alert alert-success\">\n",
+ "Enter command mode by pressing `Esc` or using the mouse to click *outside* a cell's editor area.\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Mouse navigation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "All navigation and actions in the Notebook are available using the mouse through the menubar and toolbar, which are both above the main Notebook area:\n",
+ "\n",
+ "<img src=\"images/menubar_toolbar.png\">"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The first idea of mouse based navigation is that **cells can be selected by clicking on them.** The currently selected cell gets a grey or green border depending on whether the notebook is in edit or command mode. If you click inside a cell's editor area, you will enter edit mode. If you click on the prompt or output area of a cell you will enter command mode.\n",
+ "\n",
+ "If you are running this notebook in a live session (not on http://nbviewer.ipython.org) try selecting different cells and going between edit and command mode. Try typing into a cell."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The second idea of mouse based navigation is that **cell actions usually apply to the currently selected cell**. Thus if you want to run the code in a cell, you would select it and click the <button><i class=\"icon-play\"></i></button> button in the toolbar or the \"Cell:Run\" menu item. Similarly, to copy a cell you would select it and click the <button><i class=\"icon-copy\"></i></button> button in the toolbar or the \"Edit:Copy\" menu item. With this simple pattern, you should be able to do most everything you need with the mouse.\n",
+ "\n",
+ "Markdown and heading cells have one other state that can be modified with the mouse. These cells can either be rendered or unrendered. When they are rendered, you will see a nice formatted representation of the cell's contents. When they are unrendered, you will see the raw text source of the cell. To render the selected cell with the mouse, click the <button><i class=\"icon-play\"></i></button> button in the toolbar or the \"Cell:Run\" menu item. To unrender the selected cell, double click on the cell."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Keyboard Navigation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The modal user interface of the IPython Notebook has been optimized for efficient keyboard usage. This is made possible by having two different sets of keyboard shortcuts: one set that is active in edit mode and another in command mode.\n",
+ "\n",
+ "The most important keyboard shortcuts are `Enter`, which enters edit mode, and `Esc`, which enters command mode.\n",
+ "\n",
+ "In edit mode, most of the keyboard is dedicated to typing into the cell's editor. Thus, in edit mode there are relatively few shortcuts:\n",
+ "\n",
+ "<img src=\"images/edit_shortcuts.png\">"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In command mode, the entire keyboard is available for shortcuts, so there are many more:\n",
+ "\n",
+ "<img src=\"images/command_shortcuts.png\">"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We recommend learning the command mode shortcuts in the following rough order:\n",
+ "\n",
+ "1. Basic navigation: `enter`, `shift-enter`, `up/k`, `down/j`\n",
+ "2. Saving the notebook: `s`\n",
+ "2. Cell types: `y`, `m`, `1-6`, `t`\n",
+ "3. Cell creation and movement: `a`, `b`, `ctrl+k`, `ctrl+j`\n",
+ "4. Cell editing: `x`, `c`, `v`, `d`, `z`, `shift+=`\n",
+ "5. Kernel operations: `i`, `.`"
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Notebook Security.ipynb b/examples/Notebook/Notebook Security.ipynb
new file mode 100644
index 0000000..519dba7
--- /dev/null
+++ b/examples/Notebook/Notebook Security.ipynb
@@ -0,0 +1,9 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:0abf067a20ebda26a671db997ac954770350d292dff7b7d6a4ace8808f70aca1"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": []
+}
\ No newline at end of file
diff --git a/examples/Notebook/Running Code.ipynb b/examples/Notebook/Running Code.ipynb
index ac746fa..0c33d39 100644
--- a/examples/Notebook/Running Code.ipynb
+++ b/examples/Notebook/Running Code.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:a52ac3735e5881fe8fe68f88d0113c3b1dca40cb809955db692fedb89b66a7fa"
+ "signature": "sha256:f04198d3d69e0ecb1f8e08c92dcaf5942793c65e81e19e168b2b53e6fecaf223"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -13,14 +13,14 @@
"level": 1,
"metadata": {},
"source": [
- "Running Code in the IPython Notebook"
+ "Running Code"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "First and foremost, the IPython Notebook is an interactive environment for writing and running Python code."
+ "First and foremost, the IPython Notebook is an interactive environment for writing and running code. IPython is capable of running code in a wide range of languages. However, this notebook, and the default kernel in IPython 2.0, runs Python code."
]
},
{
@@ -35,18 +35,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "\n",
- "<script type=\"text/javascript\">\n",
- "var _toggle=false;\n",
- "var hl = function (id, on){\n",
- " $(id)[0].style.background = '';\n",
- " if (on) {\n",
- " $(id)[0].style.background = 'lightcyan';\n",
- " }\n",
- "};\n",
- "</script>\n",
- "\n",
- "Run a code cell using `shift-enter` or pressing the <button class='btn btn-default btn-xs'><i class=\"icon-play fa fa-play\"></i></button> button in the <a href=\"#\" onMouseover=\"hl('#maintoolbar-container', 1)\" onMouseout=\"hl('#maintoolbar-container', 0)\">toolbar</a> above:"
+ "Run a code cell using `Shift-Enter` or pressing the <button><i class=\"icon-play fa fa-play\"></i></button> button in the toolbar above:"
]
},
{
@@ -80,6 +69,16 @@
"prompt_number": 2
},
{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There are two other keyboard shortcuts for running code:\n",
+ "\n",
+ "* `Alt-Enter` runs the current cell and inserts a new one below.\n",
+ "* `Ctrl-Enter` run the current cell and enters command mode."
+ ]
+ },
+ {
"cell_type": "heading",
"level": 2,
"metadata": {},
@@ -91,7 +90,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Code is run in a separate process called the IPython Kernel. The Kernel can be interrupted or restarted. Try running the following cell and then hit the <button class='btn btn-default btn-xs'><i class='icon-stop fa fa-stop'></i></button> button in the <a href=\"#\" onMouseover=\"hl('#maintoolbar-container', 1)\" onMouseout=\"hl('#maintoolbar-container', 0)\">toolbar</a> above."
+ "Code is run in a separate process called the IPython Kernel. The Kernel can be interrupted or restarted. Try running the following cell and then hit the <button><i class='icon-stop fa fa-stop'></i></button> button in the toolbar above."
]
},
{
@@ -119,7 +118,8 @@
"input": [
"import sys\n",
"from ctypes import CDLL\n",
- "# This will crash a Linux or Mac system; equivalent calls can be made on Windows\n",
+ "# This will crash a Linux or Mac system\n",
+ "# equivalent calls can be made on Windows\n",
"dll = 'dylib' if sys.platform == 'darwin' else 'so.6'\n",
"libc = CDLL(\"libc.%s\" % dll) \n",
"libc.time(-1) # BOOM!!"
@@ -133,72 +133,57 @@
"level": 2,
"metadata": {},
"source": [
- "All of the goodness of IPython works"
+ "Cell menu"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here are two system aliases:"
+ "The \"Cell\" menu has a number of menu items for running code in different ways. These includes:\n",
+ "\n",
+ "* Run and Select Below\n",
+ "* Run and Insert Below\n",
+ "* Run All\n",
+ "* Run All Above\n",
+ "* Run All Below"
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "pwd"
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "pyout",
- "prompt_number": 1,
- "text": [
- "u'/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Tutorials'"
- ]
- }
- ],
- "prompt_number": 1
+ "source": [
+ "Restarting the kernels"
+ ]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "ls"
- ],
- "language": "python",
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Basic Output.ipynb Plotting with Matplotlib.ipynb data.csv\r\n",
- "Custom Display Logic.ipynb Running Code.ipynb \u001b[34mimages\u001b[m\u001b[m/\r\n",
- "Display System.ipynb Typesetting Math Using MathJax.ipynb\r\n",
- "Markdown Cells.ipynb User Interface.ipynb\r\n"
- ]
- }
- ],
- "prompt_number": 2
+ "source": [
+ "The kernel maintains the state of a notebook's computations. You can reset this state by restarting the kernel. This is done by clicking on the <button><i class='icon-repeat'></i></button> in the toolbar above."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "sys.stdout and sys.stderr"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Any command line program can be run using `!` with string interpolation from Python variables:"
+ "The stdout and stderr streams are displayed as text in the output area."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "message = 'The IPython notebook is great!'\n",
- "# note: the echo command does not run on Windows, it's a unix command.\n",
- "!echo $message"
+ "print(\"hi, stdout\")"
],
"language": "python",
"metadata": {},
@@ -207,135 +192,146 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "The IPython notebook is great!\r\n"
+ "hi, stdout\n"
]
}
],
- "prompt_number": 3
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Tab completion works:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import numpy"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 5
+ "prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "numpy.random."
+ "from __future__ import print_function\n",
+ "print('hi, stderr', file=sys.stderr)"
],
"language": "python",
"metadata": {},
- "outputs": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Shift-Tab on selection, or after `(` brings up a tooltip with the docstring:"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "numpy.random.rand("
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "hi, stderr\n"
+ ]
+ }
],
- "language": "python",
- "metadata": {},
- "outputs": []
+ "prompt_number": 3
},
{
- "cell_type": "markdown",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
"source": [
- "Adding `?` opens the docstring in the pager below:"
+ "Output is asynchronous"
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "magic?"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 8
- },
- {
"cell_type": "markdown",
"metadata": {},
"source": [
- "Exceptions are formatted nicely:"
+ "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "x = 1\n",
- "y = 4\n",
- "z = y/(1-x)"
+ "import time, sys\n",
+ "for i in range(8):\n",
+ " print(i)\n",
+ " time.sleep(0.5)"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "ename": "ZeroDivisionError",
- "evalue": "integer division or modulo by zero",
- "output_type": "pyerr",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-6-dc39888fd1d2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero"
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "0\n",
+ "1"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "2"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "3"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "4"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "5"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "6"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "7"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n"
]
}
],
- "prompt_number": 6
+ "prompt_number": 4
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
- "Working with external code"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "There are a number of ways of getting external code into code cells."
+ "Large outputs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Pasting code with `>>>` prompts works as expected:"
+ "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- ">>> the_world_is_flat = 1\n",
- ">>> if the_world_is_flat:\n",
- "... print(\"Be careful not to fall off!\")"
+ "for i in range(50):\n",
+ " print(i)"
],
"language": "python",
"metadata": {},
@@ -344,121 +340,594 @@
"output_type": "stream",
"stream": "stdout",
"text": [
- "Be careful not to fall off!\n"
+ "0\n",
+ "1\n",
+ "2\n",
+ "3\n",
+ "4\n",
+ "5\n",
+ "6\n",
+ "7\n",
+ "8\n",
+ "9\n",
+ "10\n",
+ "11\n",
+ "12\n",
+ "13\n",
+ "14\n",
+ "15\n",
+ "16\n",
+ "17\n",
+ "18\n",
+ "19\n",
+ "20\n",
+ "21\n",
+ "22\n",
+ "23\n",
+ "24\n",
+ "25\n",
+ "26\n",
+ "27\n",
+ "28\n",
+ "29\n",
+ "30\n",
+ "31\n",
+ "32\n",
+ "33\n",
+ "34\n",
+ "35\n",
+ "36\n",
+ "37\n",
+ "38\n",
+ "39\n",
+ "40\n",
+ "41\n",
+ "42\n",
+ "43\n",
+ "44\n",
+ "45\n",
+ "46\n",
+ "47\n",
+ "48\n",
+ "49\n"
]
}
],
- "prompt_number": 7
+ "prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `%load` magic lets you load code from URLs or local files:"
+ "Beyond a certain point, output will scroll automatically:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "%load?"
+ "for i in range(500):\n",
+ " print(2**i - 1)"
],
"language": "python",
"metadata": {},
- "outputs": [],
- "prompt_number": 8
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%matplotlib inline"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 9
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%load http://matplotlib.org/mpl_examples/showcase/integral_demo.py"
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
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],
- "language": "python",
- "metadata": {},
- "outputs": [],
- "prompt_number": 10
+ "prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
- "input": [
- "\"\"\"\n",
- "Plot demonstrating the integral as the area under a curve.\n",
- "\n",
- "Although this is a simple example, it demonstrates some important tweaks:\n",
- "\n",
- " * A simple line plot with custom color and line width.\n",
- " * A shaded region created using a Polygon patch.\n",
- " * A text label with mathtext rendering.\n",
- " * figtext calls to label the x- and y-axes.\n",
- " * Use of axis spines to hide the top and right spines.\n",
- " * Custom tick placement and labels.\n",
- "\"\"\"\n",
- "import numpy as np\n",
- "import matplotlib.pyplot as plt\n",
- "from matplotlib.patches import Polygon\n",
- "\n",
- "\n",
- "def func(x):\n",
- " return (x - 3) * (x - 5) * (x - 7) + 85\n",
- "\n",
- "\n",
- "a, b = 2, 9 # integral limits\n",
- "x = np.linspace(0, 10)\n",
- "y = func(x)\n",
- "\n",
- "fig, ax = plt.subplots()\n",
- "plt.plot(x, y, 'r', linewidth=2)\n",
- "plt.ylim(ymin=0)\n",
- "\n",
- "# Make the shaded region\n",
- "ix = np.linspace(a, b)\n",
- "iy = func(ix)\n",
- "verts = [(a, 0)] + list(zip(ix, iy)) + [(b, 0)]\n",
- "poly = Polygon(verts, facecolor='0.9', edgecolor='0.5')\n",
- "ax.add_patch(poly)\n",
- "\n",
- "plt.text(0.5 * (a + b), 30, r\"$\\int_a^b f(x)\\mathrm{d}x$\",\n",
- " horizontalalignment='center', fontsize=20)\n",
- "\n",
- "plt.figtext(0.9, 0.05, '$x$')\n",
- "plt.figtext(0.1, 0.9, '$y$')\n",
- "\n",
- "ax.spines['right'].set_visible(False)\n",
- "ax.spines['top'].set_visible(False)\n",
- "ax.xaxis.set_ticks_position('bottom')\n",
- "\n",
- "ax.set_xticks((a, b))\n",
- "ax.set_xticklabels(('$a$', '$b$'))\n",
- "ax.set_yticks([])\n",
- "\n",
- "plt.show()\n"
- ],
+ "input": [],
"language": "python",
"metadata": {},
- "outputs": [
- {
- "metadata": {},
- "output_type": "display_data",
- "png": 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z3ZEp74XOcnPH74YMgQULoEsX+OwziAqd/0CsWLECr9f7m6f15Nzk5ORw6aWX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\niISh/weZPyRnS1m/IAAAAABJRU5ErkJggg==\n",
- "text": [
- "<matplotlib.figure.Figure at 0x108604e50>"
- ]
- }
- ],
- "prompt_number": 11
+ "outputs": []
}
],
"metadata": {}
diff --git a/examples/Notebook/User Interface.ipynb b/examples/Notebook/Running the Notebook Server.ipynb
similarity index 55%
rename from examples/Notebook/User Interface.ipynb
rename to examples/Notebook/Running the Notebook Server.ipynb
index e2f7d54..602ebec 100644
--- a/examples/Notebook/User Interface.ipynb
+++ b/examples/Notebook/Running the Notebook Server.ipynb
@@ -1,6 +1,7 @@
{
"metadata": {
- "name": ""
+ "name": "",
+ "signature": "sha256:ee4b22b4c949fe21b3e5cda24f0916ba59d8c09443f4a897d98b96d4a73ac335"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -12,18 +13,14 @@
"level": 1,
"metadata": {},
"source": [
- "User Interface"
+ "Running the Notebook Server"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "This notebook describes the user interface of the IPython Notebook. This includes both mouse and keyboard based navigation and interaction.\n",
- "\n",
- "<div class=\"alert\" style=\"margin: 10px\">\n",
- "As of IPython 2.0, the user interface has changed significantly. Because of this we highly recommend existing users to review this information after upgrading to IPython 2.0. All new users of IPython should review this information as well.\n",
- "</div>"
+ "The IPython notebook server is a custom web server that runs the notebook web application. Most of the time, users run the notebook server on their local computer using IPython's command line interface."
]
},
{
@@ -31,64 +28,39 @@
"level": 2,
"metadata": {},
"source": [
- "Modal editor"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Starting with IPython 2.0, the IPython Notebook has a modal user interface. This means that the keyboard does different things depending on which mode the Notebook is in. There are two modes: edit mode and command mode."
- ]
- },
- {
- "cell_type": "heading",
- "level": 3,
- "metadata": {},
- "source": [
- "Edit mode"
+ "Starting the notebook server using the command line"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Edit mode is indicated by a green cell border and a prompt showing in the editor area:\n",
+ "You can start the notebook server from the command line (Terminal on Mac/Linux, CMD prompt on Windows) by running the following command: \n",
"\n",
- "<img src=\"images/edit_mode.png\">\n",
+ " ipython notebook\n",
"\n",
- "When a cell is in edit mode, you can type into the cell, like a normal text editor.\n",
+ "This will print some information about the notebook server in your terminal, including the URL of the web application (by default, `http://127.0.0.1:8888`). It will then open your default web browser to this URL.\n",
"\n",
- "<div class=\"alert alert-success\" style=\"margin: 10px\">\n",
- "Enter edit mode by pressing `enter` or using the mouse to click on a cell's editor area.\n",
- "</div>"
- ]
- },
- {
- "cell_type": "heading",
- "level": 3,
- "metadata": {},
- "source": [
- "Command mode"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Command mode is indicated by a grey cell border:\n",
+ "When the notebook opens, you will see the **notebook dashboard**, which will show a list of the notebooks and subdirectories in the directory where the notebook server was started. As of IPython 2.0, the dashboard allows you to navigate to different subdirectories. Because of this, it is no longer necessary to start a separate notebook server for each subdirectory. Most of the time, you will want to start a notebook server in the highest directory in your filesystem where notebooks can be found. Often this will be your home directory.\n",
"\n",
- "<img src=\"images/command_mode.png\">\n",
+ "You can start more than one notebook server at the same time. By default, the first notebook server starts on port 8888 and later notebook servers search for open ports near that one.\n",
"\n",
- "When you are in command mode, you are able to edit the notebook as a whole, but not type into individual cells. Most importantly, in command mode, the keyboard is mapped to a set of shortcuts that let you perform notebook and cell actions efficiently. For example, if you are in command mode and you press `c`, you will copy the current cell - no modifier is needed.\n",
+ "You can also specify the port manually:\n",
"\n",
- "<div class=\"alert alert-error\" style=\"margin: 10px\">\n",
- "Don't try to type into a cell in command mode; unexpected things will happen!\n",
- "</div>\n",
+ " ipython notebook --port 9999\n",
+ "\n",
+ "Or start notebook server without opening a web browser.\n",
+ "\n",
+ " ipython notebook --no-browser\n",
"\n",
- "<div class=\"alert alert-success\" style=\"margin: 10px\">\n",
- "Enter command mode by pressing `esc` or using the mouse to click *outside* a cell's editor area.\n",
- "</div>"
+ "The notebook server has a number of other command line arguments that can be displayed with the `--help` flag: \n",
+ "\n",
+ " ipython notebook --help\n",
+ "\n",
+ "<div class=\"alert alert-failure\">\n",
+ "It used to be possible to specify kernel options, such as <code>--pylab inline</code> from the command line. This is deprecated in IPython 2.0 and will be removed in IPython 3.0. To enable matplotlib based plotting for the Python kernel use the <code>%matplotlib</code> magic command.\n",
+ "</div>\n",
+ "\n"
]
},
{
@@ -96,286 +68,256 @@
"level": 2,
"metadata": {},
"source": [
- "Mouse navigation"
+ "Configuring the IPython Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "All navigation and actions in the Notebook are available using the mouse through the menubar and toolbar, which are both above the main Notebook area:\n",
+ "The notebook web server can also be configured using IPython profiles and configuration files. The Notebook web server configuration options are set in a file named `ipython_notebook_config.py` in your IPython *profile directory*. The profile directory is a subfolder of your IPython directory, which itself is usually `.ipython` in your home directory.\n",
"\n",
- "<img src=\"images/menubar_toolbar.png\">"
+ "You can display the location of your default profile directory by running the command:"
]
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!ipython profile locate default"
+ ],
+ "language": "python",
"metadata": {},
- "source": [
- "The first idea of mouse based navigation is that **cells can be selected by clicking on them.** The currently selected cell gets a grey or green border depending on whether the notebook is in edit or command mode. If you click inside a cell's editor area, you will enter edit mode. If you click on the prompt or output area of a cell you will enter command mode.\n",
- "\n",
- "If you are running this notebook in a live session (not on http://nbviewer.ipython.org) try selecting different cells and going between edit and command mode. Try typing into a cell."
- ]
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "/Users/bgranger/.ipython/profile_default\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The second idea of mouse based navigation is that **cell actions usually apply to the currently selected cell**. Thus if you want to run the code in a cell, you would select it and click the \"Play\" button in the toolbar or the \"Cell:Run\" menu item. Similarly, to copy a cell you would select it and click the \"Copy\" button in the toolbar or the \"Edit:Copy\" menu item. With this simple pattern, you should be able to do most everything you need with the mouse.\n",
+ "The default version of `ipython_notebook_config.py` lists all of the options available along with documentation for each. Changes made to that file will affect all notebook servers run under that profile. Command line options always override those set in configuration files.\n",
"\n",
- "Markdown and heading cells have one other state that can be modified with the mouse. These cells can either be rendered or unrendered. When they are rendered, you will see a nice formatted representation of the cell's contents. When they are unrendered, you will see the raw text source of the cell. To render the selected cell with the mouse, click the \"Play\" button in the toolbar or the \"Cell:Run\" menu item. To unrender the selected cell, double click on the cell."
- ]
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Keyboard Navigation"
+ "You can create a new profile:"
]
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!ipython profile create my_profile"
+ ],
+ "language": "python",
"metadata": {},
- "source": [
- "The modal user interface of the IPython Notebook has been optimized for efficient keyboard usage. This is made possible by having two different sets of keyboard shortcuts: one set that is active in edit mode and another in command mode.\n",
- "\n",
- "The most important keyboard shortcuts are `enter`, which enters edit mode, and `esc`, which enters command mode.\n",
- "\n",
- "In edit mode, most of the keyboard is dedicated to typing into the cell's editor. Thus, in edit mode there are relatively few shortcuts:"
- ]
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[ProfileCreate] Generating default config file: u'/Users/bgranger/.ipython/profile_my_profile/ipython_config.py'\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[ProfileCreate] Generating default config file: u'/Users/bgranger/.ipython/profile_my_profile/ipython_qtconsole_config.py'\r\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[ProfileCreate] Generating default config file: u'/Users/bgranger/.ipython/profile_my_profile/ipython_notebook_config.py'\r\n",
+ "[ProfileCreate] Generating default config file: u'/Users/bgranger/.ipython/profile_my_profile/ipython_nbconvert_config.py'\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `display_edit_shortcuts()` function used here is defined in the [Utilities section](#Utilities) at the bottom of this notebook."
+ "And then view its location:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "display_edit_shortcuts()"
+ "!ipython profile locate my_profile"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "html": [
- "<div class=\"hbox\"><div class=\"box-flex0\"><div class=\"quickhelp\"><span class=\"shortcut_key\">esc</span><span class=\"shortcut_descr\"> : command mode</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+m</span><span class=\"shortcut_descr\"> : command mode</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">shift+enter</span><span class=\"shortcut_descr\"> : run cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+enter</span><span class=\"shortcut_descr\"> : run cell, select below</span></div></div><div class=\"box-flex0\"><div class=\"quickhelp\"><span class=\"shortcut_key\">alt+enter</span><span class=\"shortcut_descr\"> : run cell, insert below</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">alt+-</span><span class=\"shortcut_descr\"> : split cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">meta+s</span><span class=\"shortcut_descr\"> : save notebook</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+s</span><span class=\"shortcut_descr\"> : save notebook</span></div></div></div>"
- ],
- "output_type": "display_data"
- },
- {
- "javascript": [
- "var help = IPython.quick_help.build_edit_help();\n",
- "help.children().first().remove();\n",
- "this.append_output({output_type: 'display_data', html: help.html()});"
- ],
- "metadata": {},
- "output_type": "display_data",
+ "output_type": "stream",
+ "stream": "stdout",
"text": [
- "<IPython.core.display.Javascript at 0x10e8d1a50>"
+ "/Users/bgranger/.ipython/profile_my_profile\r\n"
]
}
],
- "prompt_number": 17
+ "prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "There are two other keyboard shortcuts in edit mode that are not listed here:\n",
+ "To start the notebook server using a given profile, run the following:\n",
"\n",
- "* `tab`: trigger \"tab\" completion\n",
- "* `shift+tab`: open the tooltip"
+ " ipython notebook --profile=my_profile"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "In command mode, the entire keyboard is available for shortcuts:"
+ "More details about IPython configuration files and profiles can be found [here](http://ipython.org/ipython-doc/dev/config/intro.html)."
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "display_command_shortcuts()"
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
- "outputs": [
- {
- "html": [
- "<div class=\"hbox\"><div class=\"box-flex0\"><div class=\"quickhelp\"><span class=\"shortcut_key\">enter</span><span class=\"shortcut_descr\"> : edit mode</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">shift+enter</span><span class=\"shortcut_descr\"> : run cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+enter</span><span class=\"shortcut_descr\"> : run cell, select below</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">alt+enter</span><span class=\"shortcut_descr\"> : run cell, insert below</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">y</span><span class=\"shortcut_descr\"> : to code</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">m</span><span class=\"shortcut_descr\"> : to markdown</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">t</span><span class=\"shortcut_descr\"> : to raw</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">1</span><span class=\"shortcut_descr\"> : to heading 1</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">2</span><span class=\"shortcut_descr\"> : to heading 2</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">3</span><span class=\"shortcut_descr\"> : to heading 3</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">4</span><span class=\"shortcut_descr\"> : to heading 4</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">5</span><span class=\"shortcut_descr\"> : to heading 5</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">6</span><span class=\"shortcut_descr\"> : to heading 6</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">up</span><span class=\"shortcut_descr\"> : select previous cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">down</span><span class=\"shortcut_descr\"> : select next cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">k</span><span class=\"shortcut_descr\"> : select previous cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">j</span><span class=\"shortcut_descr\"> : select next cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+k</span><span class=\"shortcut_descr\"> : move cell up</span></div></div><div class=\"box-flex0\"><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+j</span><span class=\"shortcut_descr\"> : move cell down</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">a</span><span class=\"shortcut_descr\"> : insert cell above</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">b</span><span class=\"shortcut_descr\"> : insert cell below</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">x</span><span class=\"shortcut_descr\"> : cut cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">c</span><span class=\"shortcut_descr\"> : copy cell</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">v</span><span class=\"shortcut_descr\"> : paste cell below</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">z</span><span class=\"shortcut_descr\"> : undo last delete</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">d</span><span class=\"shortcut_descr\"> : delete cell (press twice)</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">shift+=</span><span class=\"shortcut_descr\"> : merge cell below</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">s</span><span class=\"shortcut_descr\"> : save notebook</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">meta+s</span><span class=\"shortcut_descr\"> : save notebook</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">ctrl+s</span><span class=\"shortcut_descr\"> : save notebook</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">l</span><span class=\"shortcut_descr\"> : toggle line numbers</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">o</span><span class=\"shortcut_descr\"> : toggle output</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">shift+o</span><span class=\"shortcut_descr\"> : toggle output</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">h</span><span class=\"shortcut_descr\"> : keyboard shortcuts</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">i</span><span class=\"shortcut_descr\"> : interrupt kernel</span></div><div class=\"quickhelp\"><span class=\"shortcut_key\">.</span><span class=\"shortcut_descr\"> : restart kernel</span></div></div></div>"
- ],
- "output_type": "display_data"
- },
- {
- "javascript": [
- "var help = IPython.quick_help.build_command_help();\n",
- "help.children().first().remove();\n",
- "this.append_output({output_type: 'display_data', html: help.html()});"
- ],
- "metadata": {},
- "output_type": "display_data",
- "text": [
- "<IPython.core.display.Javascript at 0x10e8d1650>"
- ]
- }
- ],
- "prompt_number": 18
+ "source": [
+ "Securing the notebook server"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here the rough order in which we recommend learning the command mode shortcuts:\n",
- "\n",
- "1. Basic navigation: `enter`, `shift-enter`, `up/k`, `down/j`\n",
- "2. Saving the notebook: `s`\n",
- "2. Cell types: `y`, `m`, `1-6`, `t`\n",
- "3. Cell creation and movement: `a`, `b`, `ctrl+k`, `ctrl+j`\n",
- "4. Cell editing: `x`, `c`, `v`, `d`, `z`, `shift+=`\n",
- "5. Kernel operations: `i`, `.`"
+ "The IPython Notebook allows arbitrary code execution on the computer running it. Thus, the notebook web server should never be run on the open internet without first securing it. By default, the notebook server only listens on local network interface (`127.0.0.1`) There are two steps required to secure the notebook server:\n",
+ "\n",
+ "1. Setting a password\n",
+ "2. Encrypt network traffic using SSL"
]
},
{
"cell_type": "heading",
- "level": 2,
+ "level": 3,
"metadata": {},
"source": [
- "Keyboard shortcut customization"
+ "Setting a password"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Starting with IPython 2.0 keyboard shortcuts in command and edit mode are fully customizable. These customizations are made using the IPython JavaScript API. Here is an example that makes the `r` key available for running a cell:"
+ "You can protect your notebook server with a simple single password by setting the `NotebookApp.password` configurable. You can prepare a hashed password using the function `IPython.lib.passwd`:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
- "%%javascript\n",
- "\n",
- "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', {\n",
- " help : 'run cell',\n",
- " help_index : 'zz',\n",
- " handler : function (event) {\n",
- " IPython.notebook.execute_cell();\n",
- " return false;\n",
- " }}\n",
- ");"
+ "from IPython.lib import passwd\n",
+ "password = passwd(\"secret\")\n",
+ "password"
],
"language": "python",
"metadata": {},
"outputs": [
{
- "javascript": [
- "\n",
- "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', {\n",
- " help : 'run cell',\n",
- " help_index : 'zz',\n",
- " handler : function (event) {\n",
- " IPython.notebook.execute_cell();\n",
- " return false;\n",
- " }}\n",
- ");"
- ],
"metadata": {},
- "output_type": "display_data",
+ "output_type": "pyout",
+ "prompt_number": 1,
"text": [
- "<IPython.core.display.Javascript at 0x10e8d1890>"
+ "'sha1:6c2164fc2b22:ed55ecf07fc0f985ab46561483c0e888e8964ae6'"
]
}
],
- "prompt_number": 7
+ "prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "There are a couple of points to mention about this API:\n",
+ "You can then add this to your `ipython_notebook_config.py`:\n",
"\n",
- "* The `help_index` field is used to sort the shortcuts in the Keyboard Shortcuts help dialog. It defaults to `zz`.\n",
- "* When a handler returns `false` it indicates that the event should stop propagating and the default action should not be performed. For further details about the `event` object or event handling, see the jQuery docs.\n",
- "* If you don't need a `help` or `help_index` field, you can simply pass a function as the second argument to `add_shortcut`."
+ "```python\n",
+ "# Password to use for web authentication\n",
+ "c = get_config()\n",
+ "c.NotebookApp.password = \n",
+ "u'sha1:6c2164fc2b22:ed55ecf07fc0f985ab46561483c0e888e8964ae6'\n",
+ "```"
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%javascript\n",
- "\n",
- "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', function (event) {\n",
- " IPython.notebook.execute_cell();\n",
- " return false;\n",
- "});"
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 3,
"metadata": {},
- "outputs": [
- {
- "javascript": [
- "\n",
- "IPython.keyboard_manager.command_shortcuts.add_shortcut('r', function (event) {\n",
- " IPython.notebook.execute_cell();\n",
- " return false;\n",
- "});"
- ],
- "metadata": {},
- "output_type": "display_data",
- "text": [
- "<IPython.core.display.Javascript at 0x1019baf90>"
- ]
- }
- ],
- "prompt_number": 11
+ "source": [
+ "Using SSL/HTTPS"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Likewise, to remove a shortcut, use `remove_shortcut`:"
+ "When using a password, it is a good idea to also use SSL, so that your \n",
+ "password is not sent unencrypted by your browser to the web server. When running the notebook on the public internet this is absolutely required.\n",
+ "\n",
+ "The first step is to generate an SSL certificate. A self-signed certificate can be generated with ``openssl``. For example, the following command will create a certificate valid for 365 days with both the key and certificate data written to the same file:\n",
+ "\n",
+ " openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem\n",
+ "\n",
+ "In most cases, you should run this command in your profile directory, which will make it easy to use the generated key and certificate.\n",
+ "\n",
+ "When you connect to a notebook server over HTTPS using a self-signed certificate, your browser will warn you of a dangerous certificate because it is self-signed. If you want to have a fully compliant certificate that will not raise warnings, it is possible (but rather involved) to obtain one,\n",
+ "as explained in detail in [this tutorial](http://arstechnica.com/security/news/2009/12/how-to-get-set-with-a-secure-sertificate-for-free.ars)\n",
+ "\t\n",
+ "When you enable SSL support, you will need to access the notebook server over ``https://``, rather than plain ``http://``. The startup message from the notebook server prints the correct URL, but it is easy to overlook and think the server is for some reason non-responsive.\n",
+ "\n",
+ "Once you have generated the key and certificate, you can configure the notebook server to use them, by adding the following to `ipython_notebook_config.py`:\n",
+ "\n",
+ "```python\n",
+ "# The full path to an SSL/TLS certificate file.\n",
+ "c.NotebookApp.certfile = u'/Users/bgranger/.ipython/profile_my_profile/mycert.crt'\n",
+ "\n",
+ "# The full path to a private key file for usage with SSL/TLS.\n",
+ "c.NotebookApp.keyfile = u'/Users/bgranger/.ipython/profile_my_profile/mycert.key'\n",
+ "```"
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%javascript\n",
- "\n",
- "IPython.keyboard_manager.command_shortcuts.remove_shortcut('r');"
- ],
- "language": "python",
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
- "outputs": [
- {
- "javascript": [
- "\n",
- "IPython.keyboard_manager.command_shortcuts.remove_shortcut('r');"
- ],
- "metadata": {},
- "output_type": "display_data",
- "text": [
- "<IPython.core.display.Javascript at 0x10e8d1950>"
- ]
- }
- ],
- "prompt_number": 8
+ "source": [
+ "Running a public notebook server"
+ ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "If you want your keyboard shortcuts to be active for all of your notebooks, put the above API calls into your `<profile>/static/custom/custom.js` file."
+ "<div class=\"alert alert-error\">\n",
+ "Don't run a public notebook server unless you first secure it with a password and SSL/HTTPS as described above\n",
+ "</div>\n",
+ "\n",
+ "By default the notebook server only listens on the `localhost/127.0.0.1` network interface. If you want to connect to the notebook from another computers, or over the internet, you need to configure the notebook server to listen on all network interfaces and not open the browser. You will often also want to disable the automatic launching of the web browser.\n",
+ "\n",
+ "This can be accomplished by passing a command line options.\n",
+ "\n",
+ " ipython notebook --ip=* --no-browser\n",
+ "\n",
+ "You can also add the following to your`ipython_notebook_config.py` file:\n",
+ "\n",
+ "```python\n",
+ "c.NotebookApp.ip = '*'\n",
+ "c.NotebookApp.open_browser = False\n",
+ "```"
]
},
{
@@ -383,60 +325,62 @@
"level": 2,
"metadata": {},
"source": [
- "Utilities"
+ "Running with a different URL prefix"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We use the following functions to generate the keyboard shortcut listings above."
+ "The notebook dashboard typically lives at the URL `http://localhost:8888/tree`. If you prefer that it lives, together with the \n",
+ "rest of the notebook web application, under a base URL prefix, such as `http://localhost:8888/ipython/tree`, you can do so by adding the following lines to your `ipython_notebook_config.py` file.\n",
+ "\n",
+ "```python\n",
+ "c.NotebookApp.base_url = '/ipython/'\n",
+ "c.NotebookApp.webapp_settings = {'static_url_prefix':'/ipython/static/'}\n",
+ "```"
]
},
{
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.display import Javascript, display, HTML\n",
- "\n",
- "t = \"\"\"var help = IPython.quick_help.build_{0}_help();\n",
- "help.children().first().remove();\n",
- "this.append_output({{output_type: 'display_data', html: help.html()}});\"\"\"\n",
- "\n",
- "def display_command_shortcuts():\n",
- " display(Javascript(t.format('command')))\n",
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Using a different notebook store"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "By default, the notebook server stores the notebook documents that it saves as files in the working directory of the notebook server, also known as the\n",
+ "`notebook_dir`. This logic is implemented in the `FileNotebookManager` class. However, the server can be configured to use a different notebook manager class, which can store the notebooks in a different format. \n",
"\n",
- "def display_edit_shortcuts():\n",
- " display(Javascript(t.format('edit')))\n",
+ "The [bookstore](https://github.com/rgbkrk/bookstore) package currently allows users to store notebooks on Rackspace CloudFiles or OpenStack Swift based object stores.\n",
"\n",
- "display(HTML(\"\"\"\n",
- "<style>\n",
- ".shortcut_key {display: inline-block; width: 15ex; text-align: right; font-family: monospace;}\n",
- ".shortcut_descr {display: inline-block;}\n",
- "div.quickhelp {float: none; width: 100%;}\n",
- "</style>\n",
- "\"\"\"))"
- ],
- "language": "python",
+ "Writing a notebook manager is as simple as extending the base class `NotebookManager`. The [simple_notebook_manager](https://github.com/khinsen/simple_notebook_manager) provides a great example\n",
+ "of an in memory notebook manager, created solely for the purpose of\n",
+ "illustrating the notebook manager API."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
"metadata": {},
- "outputs": [
- {
- "html": [
- "\n",
- "<style>\n",
- ".shortcut_key {display: inline-block; width: 15ex; text-align: right; font-family: monospace;}\n",
- ".shortcut_descr {display: inline-block;}\n",
- "div.quickhelp {float: none; width: 100%;}\n",
- "</style>\n"
- ],
- "metadata": {},
- "output_type": "display_data",
- "text": [
- "<IPython.core.display.HTML at 0x10e8b0710>"
- ]
- }
- ],
- "prompt_number": 16
+ "source": [
+ "Known issues"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When behind a proxy, especially if your system or browser is set to autodetect the proxy, the notebook web application might fail to connect to the server's websockets, and present you with a warning at startup. In this case, you need to configure your system not to use the proxy for the server's address.\n",
+ "\n",
+ "For example, in Firefox, go to the Preferences panel, Advanced section,\n",
+ "Network tab, click 'Settings...', and add the address of the notebook server\n",
+ "to the 'No proxy for' field."
+ ]
}
],
"metadata": {}
diff --git a/examples/Notebook/Typesetting Math Using MathJax.ipynb b/examples/Notebook/Typesetting Equations.ipynb
similarity index 100%
rename from examples/Notebook/Typesetting Math Using MathJax.ipynb
rename to examples/Notebook/Typesetting Equations.ipynb
diff --git a/examples/Notebook/Using nbconvert as a Library.ipynb b/examples/Notebook/Using nbconvert as a Library.ipynb
new file mode 100644
index 0000000..6c1bfd3
--- /dev/null
+++ b/examples/Notebook/Using nbconvert as a Library.ipynb
@@ -0,0 +1,1054 @@
+{
+ "metadata": {
+ "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {},
+ "source": [
+ "NbConvert, Python library"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In this Notebook, I will introduce you to the programatic API of nbconvert to show you how to use it in various context. \n",
+ "\n",
+ "For this I will use one of [@jakevdp](https://github.com/jakevdp) great [blog post](http://jakevdp.github.io/blog/2013/04/15/code-golf-in-python-sudoku/).\n",
+ "I've explicitely chosen a post with no javascript tricks as Jake seem to be found of right now, for the reason that the becommings of embeding javascript in nbviewer, which is based on nbconvert is not fully decided yet. \n",
+ "\n",
+ "\n",
+ "This will not focus on using the command line tool to convert file. The attentive reader will point-out that no data are read from, or written to disk during the conversion process. Indeed, nbconvert as been though as much as\n",
+ "possible to avoid IO operation and work as well in a database, or web-based environement."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Quick overview"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<pre style='background-color:#FDD'> Warning, Do use 1.0 or 1.x branch and not master naming have changed.</pre>\n",
+ "\n",
+ "<pre style='background-color:#FDD'> Warning, NbConvert is a Tech-Preview, API will change within the next 6 month.</pre>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Credit, Jonathan Freder (@jdfreder on github)\n",
+ "\n",
+ "<center>\n",
+ " \n",
+ "</center>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The main principle of nbconvert is to instanciate a `Exporter` that controle\n",
+ "a pipeline through which each notebook you want to export with go through."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's start by importing what we need from the API, and download @jakevdp's notebook."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import requests\n",
+ "response = requests.get('http://jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb')\n",
+ "response.content[0:60]+'...'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 1,
+ "text": [
+ "'{\\n \"metadata\": {\\n \"name\": \"XKCD_plots\"\\n },\\n \"nbformat\": 3,\\n...'"
+ ]
+ }
+ ],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If you do not have request install downlad by hand, and read the file as usual."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We read the response into a slightly more convenient format which represent IPython notebook. \n",
+ "There are not real advantages for now, except some convenient methods, but with time this structure should be able to\n",
+ "guarantee that the notebook structure is valid. Note also that the in-memory format and on disk format can be slightly different. In particual, on disk, multiline strings might be spitted into list of string to be more version control friendly."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.nbformat import current as nbformat\n",
+ "jake_notebook = nbformat.reads_json(response.content)\n",
+ "jake_notebook.worksheets[0].cells[0]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 2,
+ "text": [
+ "{u'cell_type': u'heading',\n",
+ " u'level': 1,\n",
+ " u'metadata': {},\n",
+ " u'source': u'XKCD plots in Matplotlib'}"
+ ]
+ }
+ ],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "So we have here Jake's notebook in a convenient form, which is mainly a Super-Powered dict and list nested.\n",
+ "You don't need to worry about the exact structure."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The nbconvert API exposes some basic exporter for common format and default options. We will start\n",
+ "by using one of them. First we import it, instanciate an instance with most of the default parameters and fed it\n",
+ "the downloaded notebook. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import IPython.nbconvert"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.config import Config\n",
+ "from IPython.nbconvert import HTMLExporter\n",
+ "\n",
+ "## I use `basic` here to have less boilerplate and headers in the HTML.\n",
+ "## we'll see later how to pass config to exporters.\n",
+ "exportHtml = HTMLExporter(config=Config({'HTMLExporter':{'default_template':'basic'}}))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "(body, resources) = exportHtml.from_notebook_node(jake_notebook)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The exporter returns a tuple containing the body of the converted notebook, here raw HTML, as well as a resources dict.\n",
+ "The resource dict contains (among many things) the extracted PNG, JPG [...etc] from the notebook when applicable.\n",
+ "The basic HTML exporter does keep them as embeded base64 into the notebook, but one can do ask the figures to be extracted. Cf advance use. So for now the resource dict **should** be mostly empty, except for 1 key containing some css, and 2 others whose content will be obvious.\n",
+ "\n",
+ "Exporter are stateless, you won't be able to extract any usefull information (except their configuration) from them.\n",
+ "You can directly re-use the instance to convert another notebook. Each exporter expose for convenience a `from_file` and `from_filename` methods if you need."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print resources.keys()\n",
+ "print resources['metadata']\n",
+ "print resources['output_extension']\n",
+ "# print resources['inlining'] # too lng to be shown"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "['inlining', 'output_extension', 'metadata']\n",
+ "defaultdict(None, {'name': 'Notebook'})\n",
+ "html\n"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Part of the body, here the first Heading\n",
+ "start = body.index('<h1 id', )\n",
+ "print body[:400]+'...'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
+ "<h1 id=\"XKCD-plots-in-Matplotlib\">XKCD plots in Matplotlib<a class=\"anchor-link\" href=\"#XKCD-plots-in-Matplotlib\">¶</a></h1>\n",
+ "</div>\n",
+ "\n",
+ "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
+ "<p>This notebook originally appeared as a blog post at <a href=\"http://jakevdp.github.com/blog/2012/10/07/xkcd-style-plots-in-matplotli...\n"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can directly write the body into an HTML file if you wish, as you see it does not contains any body tag, or style declaration, but thoses are included in the default HtmlExporter if you do not pass it a config object as I did."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Extracting Figures"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When exporting one might want to extract the base64 encoded figures to separate files, this is by default what does the RstExporter does, let see how to use it. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.nbconvert import RSTExporter\n",
+ "\n",
+ "rst_export = RSTExporter()\n",
+ "\n",
+ "(body,resources) = rst_export.from_notebook_node(jake_notebook)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print body[:970]+'...'\n",
+ "print '[.....]'\n",
+ "print body[800:1200]+'...'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n",
+ "XKCD plots in Matplotlib\n",
+ "========================\n",
+ "\n",
+ "\n",
+ "This notebook originally appeared as a blog post at `Pythonic\n",
+ "Perambulations <http://jakevdp.github.com/blog/2012/10/07/xkcd-style-plots-in-matplotlib/>`_\n",
+ "by Jake Vanderplas.\n",
+ "\n",
+ " *Update: the matplotlib pull request has been merged! See* `*This\n",
+ "post* <http://jakevdp.github.io/blog/2013/07/10/XKCD-plots-in-matplotlib/>`_\n",
+ "*for a description of the XKCD functionality now built-in to\n",
+ "matplotlib!*\n",
+ "\n",
+ "One of the problems I've had with typical matplotlib figures is that\n",
+ "everything in them is so precise, so perfect. For an example of what I\n",
+ "mean, take a look at this figure:\n",
+ "In[1]:\n",
+ ".. code:: python\n",
+ "\n",
+ " from IPython.display import Image\n",
+ " Image('http://jakevdp.github.com/figures/xkcd_version.png')\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ ".. image:: output_3_0.png\n",
+ "\n",
+ "\n",
+ "\n",
+ "Sometimes when showing schematic plots, this is the type of figure I\n",
+ "want to display. But drawing it by hand is a pain: I'd rather just use\n",
+ "matplotlib. The problem is, matplotlib is a bit...\n",
+ "[.....]\n",
+ "owing schematic plots, this is the type of figure I\n",
+ "want to display. But drawing it by hand is a pain: I'd rather just use\n",
+ "matplotlib. The problem is, matplotlib is a bit too precise. Attempting\n",
+ "to duplicate this figure in matplotlib leads to something like this:\n",
+ "In[2]:\n",
+ ".. code:: python\n",
+ "\n",
+ " Image('http://jakevdp.github.com/figures/mpl_version.png')\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ ".. image:: output_5_0.png\n",
+ "\n",
+ "\n",
+ "\n",
+ "It just doesn'...\n"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here we see that base64 images are not embeded, but we get what look like file name. Actually those are (Configurable) keys to get back the binary data from the resources dict we havent inspected earlier.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "So when writing a Rst Plugin for any blogengine, Sphinx or anything else, you will be responsible for writing all those data to disk, in the right place. \n",
+ "Of course to help you in this task all those naming are configurable in the right place."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "let's try to see how to get one of these images"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "resources['outputs'].keys()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 10,
+ "text": [
+ "[u'output_13_1.text',\n",
+ " u'output_18_0.text',\n",
+ " u'output_3_0.text',\n",
+ " u'output_18_1.png',\n",
+ " u'output_12_0.text',\n",
+ " u'output_5_0.text',\n",
+ " u'output_5_0.png',\n",
+ " u'output_13_1.png',\n",
+ " u'output_16_0.text',\n",
+ " u'output_13_0.text',\n",
+ " u'output_18_1.text',\n",
+ " u'output_3_0.png',\n",
+ " u'output_16_0.png']"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We have extracted 5 binary figures, here `png`s, but they could have been svg, and then wouldn't appear in the binary sub dict.\n",
+ "keep in mind that a object having multiple _repr_ will store all it's repr in the notebook. \n",
+ "\n",
+ "Hence if you provide `_repr_javascript_`,`_repr_latex_` and `_repr_png_`to an object, you will be able to determine at conversion time which representaition is the more appropriate. You could even decide to show all the representaition of an object, it's up to you. But this will require beeing a little more involve and write a few line of Jinja template. This will probably be the subject of another tutorial.\n",
+ "\n",
+ "Back to our images,\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.display import Image\n",
+ "Image(data=resources['outputs']['output_3_0.png'],format='png')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "png": 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Azp7llPPAQLXVmIYSJYD27Tkve8MGtdVYNf/+yynyGg2wciWQHmhQBG9vrqno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\ndCHGGC1ZsuSxPoft27eTmZkZOTg40MKFCyk8PJxGjhxZqV1ERAQxxqh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+ "prompt_number": 11,
+ "text": [
+ "<IPython.core.display.Image at 0x10d2bbf90>"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Yep, this is indeed the image we were expecting, and I was able to see it without ever writing or reading it from disk. I don't think I'll have to show to you what to do with those data, as if you are here you are most probably familiar with IO."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Extracting figures with HTML Exporter ?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Use case:\n",
+ "\n",
+ "> I write an [awesome blog](http://jakevdp.github.io/) in HTML, and I want all but having base64 embeded images. \n",
+ "Having one html file with all inside is nice to send to coworker, but I definitively want resources to be cached !\n",
+ "So I need an HTML exporter, and I want it to extract the figures !"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Some theory"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The process of converting a notebook to a another format with the nbconvert Exporters happend in a few steps:\n",
+ "\n",
+ " - Get the notebook data and other required files. (you are responsible for that)\n",
+ " - Feed them to the exporter that will\n",
+ " - sequentially feed the data to a number of `Transformers`. Transformer only act on the **structure**\n",
+ " of the notebook, and have access to it all. \n",
+ " - feed the notebook through the jinja templating engine\n",
+ " - the use templates are configurable.\n",
+ " - templates make use of configurable macros called filters.\n",
+ " - The exporter return the converted notebook as well as other relevant resources as a tuple.\n",
+ " - Write what you need to disk, or elsewhere. (You are responsible for it)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here we'll be interested in the `Transformers`. Each `Transformer` is applied successively and in order on the notebook before going through the conversion process.\n",
+ "\n",
+ "We provide some transformer that do some modification on the notebook structure by default.\n",
+ "One of them, the `ExtractOutputTransformer` is responsible for crawling notebook,\n",
+ "finding all the figures, and put them into the resources directory, as well as choosing the key\n",
+ "(`filename_xx_y.extension`) that can replace the figure in the template.\n",
+ "\n",
+ "\n",
+ "The `ExtractOutputTransformer` is special in the fact that it **should** be availlable on all `Exporter`s, but is just inactive by default on some exporter."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# second transformer shoudl be Instance of ExtractFigureTransformer\n",
+ "exportHtml._transformers # 3rd one shouel be <ExtractOutputTransformer>"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 12,
+ "text": [
+ "[<function IPython.nbconvert.transformers.coalescestreams.wrappedfunc>,\n",
+ " <IPython.nbconvert.transformers.svg2pdf.SVG2PDFTransformer at 0x10d2a7490>,\n",
+ " <IPython.nbconvert.transformers.extractoutput.ExtractOutputTransformer at 0x10d2a7ad0>,\n",
+ " <IPython.nbconvert.transformers.csshtmlheader.CSSHTMLHeaderTransformer at 0x10d2a7b50>,\n",
+ " <IPython.nbconvert.transformers.revealhelp.RevealHelpTransformer at 0x10d29dd90>,\n",
+ " <IPython.nbconvert.transformers.latex.LatexTransformer at 0x10d29db50>,\n",
+ " <IPython.nbconvert.transformers.sphinx.SphinxTransformer at 0x10d2a7b90>]"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To enable it we will use IPython configuration/Traitlets system. If you are have already set some IPython configuration options, \n",
+ "this will look pretty familiar to you. Configuration option are always of the form:\n",
+ "\n",
+ " ClassName.attribute_name = value\n",
+ " \n",
+ "A few ways exist to create such config, like reading a config file in your profile, but you can also do it programatically usign a dictionary. Let's create such a config object, and see the difference if we pass it to our `HtmlExporter`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.config import Config\n",
+ "\n",
+ "c = Config({\n",
+ " 'ExtractOutputTransformer':{'enabled':True}\n",
+ " })\n",
+ "\n",
+ "exportHtml = HTMLExporter()\n",
+ "exportHtml_and_figs = HTMLExporter(config=c)\n",
+ "\n",
+ "(_, resources) = exportHtml.from_notebook_node(jake_notebook)\n",
+ "(_, resources_with_fig) = exportHtml_and_figs.from_notebook_node(jake_notebook)\n",
+ "\n",
+ "print 'resources without the \"figures\" key :'\n",
+ "print resources.keys()\n",
+ "\n",
+ "print ''\n",
+ "print 'Here we have one more field '\n",
+ "print resources_with_fig.keys()\n",
+ "resources_with_fig['outputs'].keys() "
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "resources without the \"figures\" key :\n",
+ "['inlining', 'output_extension', 'metadata']\n",
+ "\n",
+ "Here we have one more field \n",
+ "['outputs', 'inlining', 'output_extension', 'metadata']\n"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 13,
+ "text": [
+ "[u'output_13_1.text',\n",
+ " u'output_18_0.text',\n",
+ " u'output_3_0.text',\n",
+ " u'output_18_1.png',\n",
+ " u'output_12_0.text',\n",
+ " u'output_5_0.text',\n",
+ " u'output_5_0.png',\n",
+ " u'output_13_1.png',\n",
+ " u'output_16_0.text',\n",
+ " u'output_13_0.text',\n",
+ " u'output_18_1.text',\n",
+ " u'output_3_0.png',\n",
+ " u'output_16_0.png']"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "So now you can loop through the dict and write all those figures to disk in the right place... "
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 4,
+ "metadata": {},
+ "source": [
+ "Custom transformer"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Of course you can imagine many transformation that you would like to apply to a notebook. This is one of the reason we provide a way to register your own transformers that will be applied to the notebook after the default ones.\n",
+ "\n",
+ "To do so you'll have to pass an ordered list of `Transformer`s to the Exporter constructor. \n",
+ "\n",
+ "But what is an transformer ? Transformer can be either *decorated function* for dead-simple `Transformer`s that apply\n",
+ "independently to each cell, for more advance transformation that support configurability You have to inherit from\n",
+ "`Transformer` and define a `call` method as we'll see below.\n",
+ "\n",
+ "All transforers have a magic attribute that allows it to be activated/disactivate from the config dict."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.nbconvert.transformers import Transformer\n",
+ "import IPython.config\n",
+ "print \"Four relevant docstring\"\n",
+ "print '============================='\n",
+ "print Transformer.__doc__\n",
+ "print '============================='\n",
+ "print Transformer.call.__doc__\n",
+ "print '============================='\n",
+ "print Transformer.transform_cell.__doc__\n",
+ "print '============================='"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Four relevant docstring\n",
+ "=============================\n",
+ " A configurable transformer\n",
+ "\n",
+ " Inherit from this class if you wish to have configurability for your\n",
+ " transformer.\n",
+ "\n",
+ " Any configurable traitlets this class exposed will be configurable in profiles\n",
+ " using c.SubClassName.atribute=value\n",
+ "\n",
+ " you can overwrite transform_cell to apply a transformation independently on each cell\n",
+ " or __call__ if you prefer your own logic. See corresponding docstring for informations.\n",
+ "\n",
+ " Disabled by default and can be enabled via the config by\n",
+ " 'c.YourTransformerName.enabled = True'\n",
+ " \n",
+ "=============================\n",
+ "\n",
+ " Transformation to apply on each notebook.\n",
+ " \n",
+ " You should return modified nb, resources.\n",
+ " If you wish to apply your transform on each cell, you might want to \n",
+ " overwrite transform_cell method instead.\n",
+ " \n",
+ " Parameters\n",
+ " ----------\n",
+ " nb : NotebookNode\n",
+ " Notebook being converted\n",
+ " resources : dictionary\n",
+ " Additional resources used in the conversion process. Allows\n",
+ " transformers to pass variables into the Jinja engine.\n",
+ " \n",
+ "=============================\n",
+ "\n",
+ " Overwrite if you want to apply a transformation on each cell. You \n",
+ " should return modified cell and resource dictionary.\n",
+ " \n",
+ " Parameters\n",
+ " ----------\n",
+ " cell : NotebookNode cell\n",
+ " Notebook cell being processed\n",
+ " resources : dictionary\n",
+ " Additional resources used in the conversion process. Allows\n",
+ " transformers to pass variables into the Jinja engine.\n",
+ " index : int\n",
+ " Index of the cell being processed\n",
+ " \n",
+ "=============================\n"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "***\n",
+ "We don't provide convenient method to be aplied on each worksheet as the **data structure** for worksheet will be removed. (not the worksheet functionnality, which is still on it's way)\n",
+ "***"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Example"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "I'll now demonstrate a specific example [requested](https://github.com/ipython/nbconvert/pull/137#issuecomment-18658235) while nbconvert 2 was beeing developped. The ability to exclude cell from the conversion process based on their index. \n",
+ "\n",
+ "I'll let you imagin how to inject cell, if what you just want is to happend static content at the beginning/end of a notebook, plese refer to templating section, it will be much easier and cleaner."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.utils.traitlets import Integer"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "class PelicanSubCell(Transformer):\n",
+ " \"\"\"A Pelican specific transformer to remove somme of the cells of a notebook\"\"\"\n",
+ " \n",
+ " # I could also read the cells from nbc.metadata.pelican is someone wrote a JS extension\n",
+ " # But I'll stay with configurable value. \n",
+ " start = Integer(0, config=True, help=\"first cell of notebook to be converted\")\n",
+ " end = Integer(-1, config=True, help=\"last cell of notebook to be converted\")\n",
+ " \n",
+ " def call(self, nb, resources):\n",
+ "\n",
+ " #nbc = deepcopy(nb)\n",
+ " nbc = nb\n",
+ " # don't print in real transformer !!!\n",
+ " print \"I'll keep only cells from \", self.start, \"to \", self.end, \"\\n\\n\"\n",
+ " for worksheet in nbc.worksheets :\n",
+ " cells = worksheet.cells[:]\n",
+ " worksheet.cells = cells[self.start:self.end] \n",
+ " return nbc, resources"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# I create this on the fly, but this could be loaded from a DB, and config object support merging...\n",
+ "c = Config({\n",
+ " 'PelicanSubCell':{\n",
+ " 'enabled':True,\n",
+ " 'start':4,\n",
+ " 'end':6,\n",
+ " }\n",
+ " })"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "I'm creating a pelican exporter that take `PelicanSubCell` extra transformers and a `config` object as parameter. This might seem redundant, but with configuration system you'll see that one can register an inactive transformer on all exporters and activate it at will form its config files and command line. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pelican = RSTExporter(transformers=[PelicanSubCell], config=c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print pelican.from_notebook_node(jake_notebook)[0]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "I'll keep only cells from 4 to 6 \n",
+ "\n",
+ "\n",
+ "\n",
+ "Sometimes when showing schematic plots, this is the type of figure I\n",
+ "want to display. But drawing it by hand is a pain: I'd rather just use\n",
+ "matplotlib. The problem is, matplotlib is a bit too precise. Attempting\n",
+ "to duplicate this figure in matplotlib leads to something like this:\n",
+ "In[2]:\n",
+ ".. code:: python\n",
+ "\n",
+ " Image('http://jakevdp.github.com/figures/mpl_version.png')\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ ".. image:: output_5_0.png\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Programatic example of extending templates / cutom filters"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from IPython.nbconvert.filters.highlight import _pygment_highlight\n",
+ "from pygments.formatters import HtmlFormatter\n",
+ "\n",
+ "from IPython.nbconvert.exporters import HTMLExporter\n",
+ "from IPython.config import Config\n",
+ "\n",
+ "from IPython.nbformat import current as nbformat"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here we define a dustom 'highlight' filter that apply a custom class to code in css. We register this filter with a already existing name, so it will replace the default one."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def my_highlight(source, language='ipython'):\n",
+ " formatter = HtmlFormatter(cssclass='highlight-ipynb')\n",
+ " return _pygment_highlight(source, formatter, language)\n",
+ " \n",
+ "c = Config({'CSSHtmlHeaderTransformer':\n",
+ " {'enabled':False, 'highlight_class':'highlight-ipynb'}})\n",
+ "\n",
+ "exportHtml = HTMLExporter( config=c , filters={'highlight2html': my_highlight} )\n",
+ "(body,resources) = exportHtml.from_notebook_node(jake_notebook)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "i = body.index('highlight-ipynb')\n",
+ "body[i-12:i+50]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 22,
+ "text": [
+ "u'<div class=\"highlight-ipynb\"><pre><span class=\"kn\">from</span>'"
+ ]
+ }
+ ],
+ "prompt_number": 22
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Programatically make templates"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from jinja2 import DictLoader\n",
+ "\n",
+ "dl = DictLoader({'html_full.tpl': \n",
+ "\"\"\"\n",
+ "{%- extends 'html_basic.tpl' -%} \n",
+ "\n",
+ "{% block footer %}\n",
+ "FOOOOOOOOTEEEEER\n",
+ "{% endblock footer %}\n",
+ "\"\"\"})\n",
+ "\n",
+ "\n",
+ "exportHtml = HTMLExporter( config=None , filters={'highlight': my_highlight}, extra_loaders=[dl] )\n",
+ "(body,resources) = exportHtml.from_notebook_node(jake_notebook)\n",
+ "for l in body.split('\\n')[-4:]:\n",
+ " print l"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<p>This post was written entirely in an IPython Notebook: the notebook file is available for download <a href=\"http://jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb\">here</a>. For more information on blogging with notebooks in octopress, see my <a href=\"http://jakevdp.github.com/blog/2012/10/04/blogging-with-ipython/\">previous post</a> on the subject.</p>\n",
+ "</div>\n",
+ "FOOOOOOOOTEEEEER\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 23
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {},
+ "source": [
+ "Real World Use"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "@jakevdp use Pelican and IPython Notebook to blog. Pelican [Will use](https://github.com/getpelican/pelican-plugins/pull/21) nbconvert programatically to generate blog post. Have a look a [Pythonic Preambulations](http://jakevdp.github.io/) for Jake blog post."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "@damianavila Wrote a Nicholas Plugin to [Write blog post as Notebook](http://www.damian.oquanta.info/posts/one-line-deployment-of-your-site-to-gh-pages.html) and is developping a js-extension to publish notebooks in one click from the web app."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<center>\n",
+ "<blockquote class=\"twitter-tweet\"><p>As <a href=\"https://twitter.com/Mbussonn\">@Mbussonn</a> requested... easieeeeer! Deploy your Nikola site with just a click in the IPython notebook! <a href=\"http://t.co/860sJunZvj\">http://t.co/860sJunZvj</a> cc <a href=\"https://twitter.com/ralsina\">@ralsina</a></p>— Dami\u00e1n Avila (@damian_avila) <a href=\"https://twitter.com/damian_avila/statuses/370306057828335616\">August 21, 2013</a></blockquote>\n",
+ "</center>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "And finaly, what you just did, is replicate what [nbviewer](http://nbviewer.ipython.org) does. WHich to fetch a notebook from url, convert it and send in back to you as a static html."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 5,
+ "metadata": {},
+ "source": [
+ "A few gotchas"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Jinja blocks use `{% %}`by default which does not play nicely with $\\LaTeX$, hence thoses are replaced by `((* *))` in latex templates."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/What is the IPython Notebook.ipynb b/examples/Notebook/What is the IPython Notebook.ipynb
new file mode 100644
index 0000000..66632c1
--- /dev/null
+++ b/examples/Notebook/What is the IPython Notebook.ipynb
@@ -0,0 +1,180 @@
+{
+ "metadata": {
+ "celltoolbar": "Slideshow",
+ "name": "",
+ "signature": "sha256:ad9cb95b14212dbf9fc8ecafa475d0e368e4cb7c7306b89628b500e7e40068b6"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "heading",
+ "level": 1,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "What is the IPython Notebook?"
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
+ "Introduction"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The IPython Notebook is an **interactive computing environment** that enables users to author notebook documents that include: \n",
+ "- Live code\n",
+ "- Interactive widgets\n",
+ "- Plots\n",
+ "- Narrative text\n",
+ "- Equations\n",
+ "- Images\n",
+ "- Video\n",
+ "\n",
+ "These documents provide a **complete and self-contained record of a computation** that can be converted to various formats and shared with others using email, [Dropbox](http://dropbox.com), version control systems (like git/[GitHub](http://github.com)) or [nbviewer.ipython.org](http://nbviewer.ipython.org)."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 3,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Components"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The IPython Notebook combines three components:\n",
+ "\n",
+ "* **The notebook web application**: An interactive web application for writing and running code interactively and authoring notebook documents.\n",
+ "* **Kernels**: Separate processes started by the notebook web application that runs users' code in a given language and returns output back to the notebook web application. The kernel also handles things like computations for interactive widgets, tab completion and introspection. \n",
+ "* **Notebook documents**: Self-contained documents that contain a representation of all content visible in the notebook web application, including inputs and outputs of the computations, narrative\n",
+ "text, equations, images, and rich media representations of objects. Each notebook document has its own kernel."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Notebook web application"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The notebook web application enables users to:\n",
+ "\n",
+ "* **Edit code in the browser**, with automatic syntax highlighting, indentation, and tab completion/introspection.\n",
+ "* **Run code from the browser**, with the results of computations attached to the code which generated them.\n",
+ "* See the results of computations with **rich media representations**, such as HTML, LaTeX, PNG, SVG, PDF, etc.\n",
+ "* Create and use **interactive JavaScript wigets**, which bind interactive user interface controls and visualizations to reactive kernel side computations.\n",
+ "* Author **narrative text** using the [Markdown](https://daringfireball.net/projects/markdown/) markup language.\n",
+ "* Build **hierarchical documents** that are organized into sections with different levels of headings.\n",
+ "* Include mathematical equations using **LaTeX syntax in Markdown**, which are rendered in-browser by [MathJax](http://www.mathjax.org/).\n",
+ "* Start **parallel computing** clusters that work with IPython's interactive parallel computing libraries `IPython.parallel`."
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Kernels"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Through IPython's kernel and messaging architecture, the Notebook allows code to be run in a range of different programming languages. For each notebook document that a user opens, the web application starts a kernel that runs the code for that notebook. Each kernel is capable of running code in a single programming language and there are kernels available in the following languages:\n",
+ "\n",
+ "* Python(https://github.com/ipython/ipython)\n",
+ "* Julia (https://github.com/JuliaLang/IJulia.jl)\n",
+ "* R (https://github.com/takluyver/IRkernel)\n",
+ "* Ruby (https://github.com/minrk/iruby)\n",
+ "* Haskell (https://github.com/gibiansky/IHaskell)\n",
+ "* Scala (https://github.com/Bridgewater/scala-notebook)\n",
+ "* node.js (https://gist.github.com/Carreau/4279371)\n",
+ "* Go (https://github.com/takluyver/igo)\n",
+ "\n",
+ "The default kernel runs Python code. When it is released in the Summer/Fall of 2014, IPython 3.0 will provide a simple way for users to pick which of these kernels is used for a given notebook. \n",
+ "\n",
+ "Each of these kernels communicate with the notebook web application and web browser using a JSON over ZeroMQ/WebSockets message protocol that is described [here](http://ipython.org/ipython-doc/dev/development/messaging.html). Most users don't need to know about these details, but it helps to understand that \"kernels run code.\""
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Notebook documents"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Notebook documents contain the **inputs and outputs** of an interactive session as well as **narrative text** that accompanies the code but is not meant for execution. **Rich output** generated by running code, including HTML, images, video, and plots, is embeddeed in the notebook, which makes it a complete and self-contained record of a computation. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "When you run the notebook web application on your computer, notebook documents are just **files on your local filesystem with a `.ipynb` extension**. This allows you to use familiar workflows for organizing your notebooks into folders and sharing them with others using email, Dropbox and version control systems."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Notebooks consist of a **linear sequence of cells**. There are four basic cell types:\n",
+ "\n",
+ "* **Code cells:** Input and output of live code that is run in the kernel\n",
+ "* **Markdown cells:** Narrative text with embedded LaTeX equations\n",
+ "* **Heading cells:** 6 levels of hierarchical organization and formatting\n",
+ "* **Raw cells:** Unformatted text that is included, without modification, when notebooks are converted to different formats using nbconvert\n",
+ "\n",
+ "Internally, notebook documents are **[JSON](http://en.wikipedia.org/wiki/JSO) data** with **binary values [base64]**(http://en.wikipedia.org/wiki/Base64) encoded. This allows them to be **read and manipulated programmatically** by any programming language. Because JSON is a text format, notebook documents are version control friendly.\n",
+ "\n",
+ "**Notebooks can be exported** to different static formats including HTML, reStructeredText, LaTeX, PDF, and slide shows ([reveal.js](http://lab.hakim.se/reveal-js/#/)) using IPython's `nbconvert` utility.\n",
+ "\n",
+ "Furthermore, any notebook document available from a **public URL on or GitHub can be shared** via http://nbviewer.ipython.org. This service loads the notebook document from the URL and renders it as a static web page. The resulting web page may thus be shared with others **without their needing to install IPython**."
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/Notebook/Markdown Cells.ipynb b/examples/Notebook/Working With Markdown Cells.ipynb
similarity index 88%
rename from examples/Notebook/Markdown Cells.ipynb
rename to examples/Notebook/Working With Markdown Cells.ipynb
index 90954c3..2544a18 100644
--- a/examples/Notebook/Markdown Cells.ipynb
+++ b/examples/Notebook/Working With Markdown Cells.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:056f083d2453c83c77ea0a659e9185084426263c9e42b4c0ccbb91c773d9503b"
+ "signature": "sha256:3b7cae0c0936f25e6ccb7acafe310c08a4162a1a7fd66fa9874a52cffa0f64f9"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -187,6 +187,53 @@
"level": 2,
"metadata": {},
"source": [
+ "Github flavored markdown (GFM)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The Notebook webapp support Github flavored markdown meaning that you can use triple backticks for code blocks \n",
+ "<pre>\n",
+ "```python\n",
+ "print \"Hello World\"\n",
+ "```\n",
+ "\n",
+ "```javascript\n",
+ "console.log(\"Hello World\")\n",
+ "```\n",
+ "</pre>\n",
+ "\n",
+ "Gives \n",
+ "```python\n",
+ "print \"Hello World\"\n",
+ "```\n",
+ "\n",
+ "```javascript\n",
+ "console.log(\"Hello World\")\n",
+ "```\n",
+ "\n",
+ "And a table like this : \n",
+ "\n",
+ "<pre>\n",
+ "| This | is |\n",
+ "|------|------|\n",
+ "| a | table| \n",
+ "</pre>\n",
+ "\n",
+ "A nice Html Table\n",
+ "\n",
+ "| This | is |\n",
+ "|------|------|\n",
+ "| a | table| "
+ ]
+ },
+ {
+ "cell_type": "heading",
+ "level": 2,
+ "metadata": {},
+ "source": [
"General HTML"
]
},
diff --git a/examples/Notebook/images/command_shortcuts.png b/examples/Notebook/images/command_shortcuts.png
new file mode 100644
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new file mode 100644
index 0000000..6179209
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+ </dict>
+ </array>
+ <key>GridInfo</key>
+ <dict/>
+ <key>GuidesLocked</key>
+ <string>NO</string>
+ <key>GuidesVisible</key>
+ <string>YES</string>
+ <key>HPages</key>
+ <integer>1</integer>
+ <key>ImageCounter</key>
+ <integer>2</integer>
+ <key>ImageLinkBack</key>
+ <array>
+ <dict/>
+ </array>
+ <key>ImageList</key>
+ <array>
+ <string>image1.png</string>
+ </array>
+ <key>KeepToScale</key>
+ <false/>
+ <key>Layers</key>
+ <array>
+ <dict>
+ <key>Lock</key>
+ <string>NO</string>
+ <key>Name</key>
+ <string>Layer 1</string>
+ <key>Print</key>
+ <string>YES</string>
+ <key>View</key>
+ <string>YES</string>
+ </dict>
+ </array>
+ <key>LayoutInfo</key>
+ <dict>
+ <key>Animate</key>
+ <string>NO</string>
+ <key>circoMinDist</key>
+ <real>18</real>
+ <key>circoSeparation</key>
+ <real>0.0</real>
+ <key>layoutEngine</key>
+ <string>dot</string>
+ <key>neatoSeparation</key>
+ <real>0.0</real>
+ <key>twopiSeparation</key>
+ <real>0.0</real>
+ </dict>
+ <key>LinksVisible</key>
+ <string>NO</string>
+ <key>MagnetsVisible</key>
+ <string>NO</string>
+ <key>MasterSheets</key>
+ <array/>
+ <key>ModificationDate</key>
+ <string>2014-05-27 22:28:18 +0000</string>
+ <key>Modifier</key>
+ <string>bgranger</string>
+ <key>NotesVisible</key>
+ <string>NO</string>
+ <key>Orientation</key>
+ <integer>2</integer>
+ <key>OriginVisible</key>
+ <string>NO</string>
+ <key>PageBreaks</key>
+ <string>YES</string>
+ <key>PrintInfo</key>
+ <dict>
+ <key>NSBottomMargin</key>
+ <array>
+ <string>float</string>
+ <string>41</string>
+ </array>
+ <key>NSHorizonalPagination</key>
+ <array>
+ <string>coded</string>
+ <string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFxlwCG</string>
+ </array>
+ <key>NSLeftMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSPaperSize</key>
+ <array>
+ <string>size</string>
+ <string>{612, 792}</string>
+ </array>
+ <key>NSPrintReverseOrientation</key>
+ <array>
+ <string>int</string>
+ <string>0</string>
+ </array>
+ <key>NSRightMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ <key>NSTopMargin</key>
+ <array>
+ <string>float</string>
+ <string>18</string>
+ </array>
+ </dict>
+ <key>PrintOnePage</key>
+ <false/>
+ <key>ReadOnly</key>
+ <string>NO</string>
+ <key>RowAlign</key>
+ <integer>1</integer>
+ <key>RowSpacing</key>
+ <real>36</real>
+ <key>SheetTitle</key>
+ <string>Canvas 1</string>
+ <key>SmartAlignmentGuidesActive</key>
+ <string>YES</string>
+ <key>SmartDistanceGuidesActive</key>
+ <string>YES</string>
+ <key>UniqueID</key>
+ <integer>1</integer>
+ <key>UseEntirePage</key>
+ <false/>
+ <key>VPages</key>
+ <integer>1</integer>
+ <key>WindowInfo</key>
+ <dict>
+ <key>CurrentSheet</key>
+ <integer>0</integer>
+ <key>ExpandedCanvases</key>
+ <array>
+ <dict>
+ <key>name</key>
+ <string>Canvas 1</string>
+ </dict>
+ </array>
+ <key>Frame</key>
+ <string>{{277, 7}, {832, 871}}</string>
+ <key>ListView</key>
+ <true/>
+ <key>OutlineWidth</key>
+ <integer>142</integer>
+ <key>RightSidebar</key>
+ <false/>
+ <key>ShowRuler</key>
+ <true/>
+ <key>Sidebar</key>
+ <true/>
+ <key>SidebarWidth</key>
+ <integer>120</integer>
+ <key>VisibleRegion</key>
+ <string>{{96.5, 197.5}, {348.5, 366}}</string>
+ <key>Zoom</key>
+ <real>2</real>
+ <key>ZoomValues</key>
+ <array>
+ <array>
+ <string>Canvas 1</string>
+ <real>2</real>
+ <real>1</real>
+ </array>
+ </array>
+ </dict>
+</dict>
+</plist>
diff --git a/examples/images/FrontendKernel.graffle/image1.png b/examples/images/FrontendKernel.graffle/image1.png
new file mode 100644
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diff --git a/examples/Notebook/images/python_logo.svg b/examples/images/python_logo.svg
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