Lec 11 - Universal Array Function.ipynb

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   "cells": [
    {
     "cell_type": "code",
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     "input": [
      "import numpy as np\n",
      "\n",
      "# Universal functions perform operations on all elements in an array"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr = np.arange(11)\n",
      "\n",
      "arr"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Taking Square Roots\n",
      "np.sqrt(arr)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "array([ 0.        ,  1.        ,  1.41421356,  1.73205081,  2.        ,\n",
        "        2.23606798,  2.44948974,  2.64575131,  2.82842712,  3.        ,\n",
        "        3.16227766])"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Calcualting exponential (e^)\n",
      "np.exp(arr)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "array([  1.00000000e+00,   2.71828183e+00,   7.38905610e+00,\n",
        "         2.00855369e+01,   5.45981500e+01,   1.48413159e+02,\n",
        "         4.03428793e+02,   1.09663316e+03,   2.98095799e+03,\n",
        "         8.10308393e+03,   2.20264658e+04])"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Binary Functions require two arrays\n",
      "\n",
      "#Random array (normal dist)\n",
      "A = np.random.randn(10)\n",
      "\n",
      "A\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "array([ 1.67337614,  0.313715  , -0.54322771, -0.62989299, -1.80379121,\n",
        "       -2.14201895,  0.55044184, -0.30340582,  0.38182576,  1.61825713])"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Random array (normal dist)\n",
      "B = np.random.randn(10)\n",
      "B"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "array([-0.36856389,  0.88334254,  0.73189034,  0.39825998, -0.13333202,\n",
        "       -0.04089832, -0.17904368, -0.31792306, -0.51818526,  0.17130282])"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Addition\n",
      "np.add(A,B)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "array([-0.26311799,  0.46621906,  0.77886172, -1.34775418,  0.84899094,\n",
        "       -0.10713425,  1.12217039,  0.30454513, -0.17441401,  1.15341669])"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Finding max or min between two arrays\n",
      "np.maximum(A,B)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "array([ 0.10544591,  0.88334254,  0.73189034,  0.39825998,  0.98232296,\n",
        "       -0.04089832,  1.30121407,  0.62246819,  0.34377126,  0.98211387])"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#For full and extensive list of all universal functions\n",
      "website = \"http://docs.scipy.org/doc/numpy/reference/ufuncs.html#available-ufuncs\"\n",
      "import webbrowser\n",
      "webbrowser.open(website)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
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