examples/IPython Kernel/Capturing Output.ipynb

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  {
   "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",
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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": {}
  }
 ]
}