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@andrewgiessel
Created August 17, 2012 02:55
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python nb for manual inlining
{
"metadata": {
"name": "manual inline mode"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": "to get this to work you need to start the ipython server with 'ipython notebook --pylab' (NOT --pylab=inline)"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import numpy as np",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": "def d():\n display(*getfigs())\n close('all')",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "code",
"collapsed": false,
"input": "figure(figsize=(4,4))\nimshow(np.random.random((5,5)))\nd()",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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c+S47AsWBzFx2BIrMV3sfY6ZidgCK8sy+7QnIYnzB/jj3InYEivjcu9gRKHKt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\n",
"text": "<matplotlib.figure.Figure at 0x121f75150>"
}
],
"prompt_number": 45
},
{
"cell_type": "code",
"collapsed": false,
"input": "",
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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