From fbd585059aafd5470ab045eb7d0cda9550fefca1 2014-07-31 06:42:42 From: Brian E. Granger Date: 2014-07-31 06:42:42 Subject: [PATCH] Work on Rich output. --- diff --git a/examples/IPython Kernel/Rich Output.ipynb b/examples/IPython Kernel/Rich Output.ipynb index 4be5277..e5b603d 100644 --- a/examples/IPython Kernel/Rich Output.ipynb +++ b/examples/IPython Kernel/Rich Output.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:180c055843c21d9b1ac1c9ab78517b077ff5d6526a847739908408866ac449b2" + "signature": "sha256:b4d7c6b90e8b3e2ab460015611518e5d598dea6903db56a26dc8a81e5d1f5722" }, "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", @@ -56,7 +56,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 1 + "prompt_number": 3 }, { "cell_type": "markdown", @@ -75,12 +75,15 @@ "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": {}, "outputs": [], - "prompt_number": 2 + "prompt_number": 4 }, { "cell_type": "heading", @@ -106,7 +109,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 3 + "prompt_number": 5 }, { "cell_type": "code", @@ -117,7 +120,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 5 + "prompt_number": 6 }, { "cell_type": "markdown", @@ -139,19 +142,19 @@ "metadata": {}, "output_type": "pyout", "png": 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- "prompt_number": 6, + "prompt_number": 7, "text": [ - "" + "" ] } ], - "prompt_number": 6 + "prompt_number": 7 }, { "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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"text": [ - "" + "" ] } ], - "prompt_number": 7 + "prompt_number": 8 }, { "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": 9, "text": [ - "" + "" ] } ], - "prompt_number": 8 + "prompt_number": 9 }, { "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": 10, "svg": [ "\n", " \n", @@ -289,150 +292,25 @@ "" ], "text": [ - "" - ] - } - ], - "prompt_number": 9 - }, - { - "cell_type": "heading", - "level": 2, - "metadata": {}, - "source": [ - "Links to local files" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If we want to create a link to one of them, we can call use the `FileLink` object." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import FileLink, FileLinks\n", - "FileLink('Running Code.ipynb')" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "html": [ - "Running Code.ipynb
" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 10, - "text": [ - "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Running Code.ipynb" + "" ] } ], "prompt_number": 10 }, { - "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." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "FileLinks('.')" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "html": [ - "./
\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
" - ], - "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" - ] - } - ], - "prompt_number": 11 - }, - { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ - "Embedded vs Non-embedded Images" + "Embedded vs non-embedded Images" ] }, { "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." + "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." ] }, { @@ -488,7 +366,7 @@ "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." + "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." ] }, { @@ -526,352 +404,262 @@ "level": 2, "metadata": {}, "source": [ - "Audio" + "HTML" ] }, { "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." + "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 Audio\n", - "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")" + "from IPython.display import HTML" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s = \"\"\"\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Header 1Header 2
row 1, cell 1row 1, cell 2
row 2, cell 1row 2, cell 2
\"\"\"" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "h = HTML(s)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 13 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "display(h)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ - "\n", - " \n", - " " + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Header 1Header 2
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" ], "metadata": {}, - "output_type": "pyout", - "prompt_number": 15, + "output_type": "display_data", "text": [ - "" + "" ] } ], - "prompt_number": 15 + "prompt_number": 14 }, { "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" + "You can also use the `%%html` cell magic to accomplish the same thing." ] }, { "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", - "\n", - "Audio(data=signal, rate=rate)" + "%%html\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ - "\n", - " \n", - " " + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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" ], "metadata": {}, - "output_type": "pyout", - "prompt_number": 16, + "output_type": "display_data", "text": [ - "" + "" ] } ], - "prompt_number": 16 + "prompt_number": 15 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ - "Video" + "JavaScript" ] }, { "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):" + "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 YouTubeVideo\n", - "YouTubeVideo('sjfsUzECqK0')" + "from IPython.display import Javascript" ], "language": "python", "metadata": {}, - "outputs": [ - { - "html": [ - "\n", - " \n", - " " - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 20, - "text": [ - "" - ] - } - ], - "prompt_number": 20 + "outputs": [], + "prompt_number": 16 }, { "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", - "\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." + "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 HTML\n", - "from base64 import b64encode\n", - "video = open(\"images/animation.m4v\", \"rb\").read()\n", - "video_encoded = b64encode(video).decode('ascii')\n", - "video_tag = '