##// END OF EJS Templates
Merge pull request #4305 from minrk/even-more-ways-to-get-ifaces...
Merge pull request #4305 from minrk/even-more-ways-to-get-ifaces Add even more ways to populate localinterfaces use netifaces for faster IPython.utils.localinterfaces when availlable, Parse subprocess output from ifconfig / ip addr / ipconfig. Lower priority than netifaces, but still higher priority than socket.gethostbyname. Fallback to gethostname otherwise. Should be much faster in worst case scenario where machine are badly configurred and can wait up to ~30s to start ipython. Slighly slower in other cases.

File last commit:

r9455:89fe4319
r12911:aeeb7f5a merge
Show More
Pylab Switching.ipynb
107 lines | 8.3 KiB | text/plain | TextLexer
Ryan May
Add test of switching pylab modes.
r7943 {
"metadata": {
"name": "Pylab Switching"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Should pop up a GUI window\n",
"%pylab qt\n",
"plot([1,2,3])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"Welcome to pylab, a matplotlib-based Python environment [backend: Qt4Agg].\n",
"For more information, type 'help(pylab)'.\n"
]
},
{
"output_type": "pyout",
"prompt_number": 3,
"text": [
"[<matplotlib.lines.Line2D at 0x4566850>]"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Should make an inline figure\n",
"%pylab inline\n",
"plot([1,2,3])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
Martin Spacek
`IPython.zmq` --> `IPython.kernel.zmq` throughout docs and examples
r9455 "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n",
Ryan May
Add test of switching pylab modes.
r7943 "For more information, type 'help(pylab)'.\n"
]
},
{
"output_type": "pyout",
"prompt_number": 4,
"text": [
"[<matplotlib.lines.Line2D at 0x4830ad0>]"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD9CAYAAACoXlzKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nsLADgMuwsAOAy7CwA4DL/BdtJN59CWl7cgAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# New GUI window--should *NOT* have the visual settings of inline\n",
"%pylab qt\n",
"plot([1,2,3])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"Welcome to pylab, a matplotlib-based Python environment [backend: Qt4Agg].\n",
"For more information, type 'help(pylab)'.\n"
]
},
{
"output_type": "pyout",
"prompt_number": 11,
"text": [
"[<matplotlib.lines.Line2D at 0x5253850>]"
]
}
],
"prompt_number": 11
}
],
"metadata": {}
}
]
}