Created
April 30, 2013 19:05
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running one notebook from another
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{ | |
"metadata": { | |
"gist_id": "binsh: jist: command not found", | |
"name": "analysis" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Define a function to load and execute another notebook in this notebook's namespace" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import io\n", | |
"from IPython.nbformat import current\n", | |
"\n", | |
"def execute_notebook(nbfile):\n", | |
" \n", | |
" with io.open(nbfile) as f:\n", | |
" nb = current.read(f, 'json')\n", | |
" \n", | |
" ip = get_ipython()\n", | |
" \n", | |
" for cell in nb.worksheets[0].cells:\n", | |
" if cell.cell_type != 'code':\n", | |
" continue\n", | |
" ip.run_cell(cell.input)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Run our example [load data](loaddata.ipynb) notebook" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"execute_notebook(\"loaddata.ipynb\")" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Now do our 'analysis' on that data" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%pylab inline" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n", | |
"For more information, type 'help(pylab)'.\n" | |
] | |
} | |
], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plot(x,s,x,c)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 4, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0x109571150>,\n", | |
" <matplotlib.lines.Line2D at 0x1095713d0>]" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
"png": 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sSQjAy/X8nhPdSu2FXkTE+iMozP6GT5NzYaH1KX5Va8SBdAO8XB2vm3Wd6qOu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\nIiIishAWLSIiIiILYdEiIiIispD/A8iR6R3klI3jAAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x10959bb10>" | |
] | |
} | |
], | |
"prompt_number": 4 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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