{
 "cells": [
  {
   "cell_type": "markdown",
   "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",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from ipywidgets import interact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn import datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the digits dataset from [scikit-learn](http://scikit-learn.org/stable/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "digits = datasets.load_digits()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "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))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/html": [
       "<img src=data:image/png;base64,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 class=\"jupyter-widget\">\n",
       "<script type=\"application/vnd.jupyter-embedded-widgets\">[{},{\"layout\":\"IPY_MODEL_a29dd47519034214a873fc3aaa861a6c\",\"description\":\"i\",\"max\":1796,\"value\":1155},{},{\"children\":[\"IPY_MODEL_036aaec3e8524d04aad7f3a01ed2061f\"],\"layout\":\"IPY_MODEL_4b206c4b367d43fa806b0cea05c72808\",\"_dom_classes\":[\"widget-interact\"]}]</script>"
      ]
     },
     "metadata": {
      "isWidgetSnapshot": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPcAAAEKCAYAAADO98MgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27f36c4dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "browse_images(digits)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3+"
  },
  "widgets": {
   "state": {
    "036aaec3e8524d04aad7f3a01ed2061f": {
     "views": []
    },
    "4b206c4b367d43fa806b0cea05c72808": {
     "views": []
    },
    "6e4efab090144cbfbdbeb6c6f93f14a6": {
     "views": [
      {
       "cell": {
        "cell_type": "code",
        "execution_count": 6,
        "metadata": {
         "collapsed": false,
         "trusted": true
        },
        "outputs": [
         {
          "data": {
           "image/png": "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",
           "text/html": "<img src=data:image/png;base64,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 class=\"jupyter-widget\">\n<script type=\"application/vnd.jupyter-embedded-widgets\">[{},{\"layout\":\"IPY_MODEL_a29dd47519034214a873fc3aaa861a6c\",\"description\":\"i\",\"max\":1796,\"value\":1155},{},{\"children\":[\"IPY_MODEL_036aaec3e8524d04aad7f3a01ed2061f\"],\"layout\":\"IPY_MODEL_4b206c4b367d43fa806b0cea05c72808\",\"_dom_classes\":[\"widget-interact\"]}]</script>"
          },
          "metadata": {
           "isWidgetSnapshot": true
          },
          "output_type": "display_data"
         },
         {
          "data": {
           "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPcAAAEKCAYAAADO98MgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
           "text/plain": "<matplotlib.figure.Figure at 0x7f27f36c4dd8>"
          },
          "metadata": {},
          "output_type": "display_data"
         }
        ],
        "source": "browse_images(digits)"
       },
       "cell_index": 8,
       "root": true
      }
     ]
    },
    "a29dd47519034214a873fc3aaa861a6c": {
     "views": []
    }
   },
   "version": "0.0.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
