interactive.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "np.random.seed(42)\n",
    "import pandas as pd\n",
    "from ipywidgets import interact, IntSlider, fixed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Aw4gzAAwjzgAwjDgDwDDiDADDiDMADCPOADCMOAPAMOIMAMOIMwAMI84AMIw4A8Aw4gwA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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107db8c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "slider = IntSlider(min=0, max=9)\n",
    "data = np.random.randint(0, 10, size=1000)\n",
    "@interact(bin_no=slider, data=fixed(data))\n",
    "def plot_hist(bin_no, data):\n",
    "    fig, ax = plt.subplots(figsize=(8,6))\n",
    "    ax.hist(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh nice plot :)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x104d0bba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#slider = IntSlider(min=0, max=9) <-- accidently reusing the widget\n",
    "@interact(bin_no=slider, data=fixed(data))\n",
    "def plot_hist(bin_no):\n",
    "\n",
    "    print(\"oh nice plot :)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sci34",
   "language": "python",
   "name": "sci34"
  },
  "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}