17_10_20 uniform.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x67a60f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6e76470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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76pTMh0/XpMmuTUOs/lgT2kAsvti4pDlNTKzXzMxuNZWZyd1XVRLPU665UdKzzGy9mR0o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\nB+IKkDvLI+o/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9ea4c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa67cf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 1000000\n",
    "\n",
    "import numpy as np\n",
    "%pylab inline\n",
    "\n",
    "x = np.random.rand(n)\n",
    "y = np.random.rand(n)\n",
    "\n",
    "def histogram(a):\n",
    "    z = (1. - a) * x + a * y\n",
    "\n",
    "    n, bins, patches = plt.hist(z, 201, normed=True)\n",
    "\n",
    "    plt.title('a={}'.format(a))\n",
    "    plt.plot(bins)\n",
    "    plt.xlim([0.0, 1.0])\n",
    "    plt.ylim([0.0, 2.0])\n",
    "    plt.figure()\n",
    "\n",
    "histogram(0.0)\n",
    "histogram(0.25)\n",
    "histogram(0.5)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}