examples/Interactive Widgets/Image Browser.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:4e9f4ce8fa9be2e33ffdae399daec11bf3ef63a6f0065b1d59739310ebfe8008"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Image Browser"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This example shows how to browse through a set of images with a slider."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import matplotlib.pyplot as plt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.html.widgets import interact"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn import datasets"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will use the digits dataset from [scikit-learn](http://scikit-learn.org/stable/)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "digits = datasets.load_digits()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def browse_images(digits):\n",
      "    n = len(digits.images)\n",
      "    def view_image(i):\n",
      "        plt.imshow(digits.images[i], cmap=plt.cm.gray_r, interpolation='nearest')\n",
      "        plt.title('Training: %s' % digits.target[i])\n",
      "        plt.show()\n",
      "    interact(view_image, i=(0,n-1))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "browse_images(digits)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {
        "png": {
         "height": 390,
         "width": 370
        }
       },
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x111c03f50>"
       ]
      }
     ],
     "prompt_number": 15
    }
   ],
   "metadata": {}
  }
 ]
}