{
 "metadata": {
  "name": "",
  "signature": "sha256:454a3350f07df381a81362c2f5dd825270c2b670e7fdc49517dce96d1e6f76f6"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Numpy Array Basics\n",
      "\n",
      "- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
      "- **Date:** -\n",
      "- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
      "- **Note:**"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Import modules"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create a list"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "battle_deaths = [3246, 326, 2754, 2547, 2457, 3456]\n",
      "battle_deaths"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "[3246, 326, 2754, 2547, 2457, 3456]"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create an array from numpy"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "deaths = np.array(battle_deaths)\n",
      "deaths"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "array([3246,  326, 2754, 2547, 2457, 3456])"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create an array of zeros"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "defectors = np.zeros(6)\n",
      "defectors"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "array([ 0.,  0.,  0.,  0.,  0.,  0.])"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create a range from 0 to 100"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "zero_to_99 = np.arange(0, 100)\n",
      "zero_to_99"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
        "       17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,\n",
        "       34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,\n",
        "       51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,\n",
        "       68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,\n",
        "       85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create 100 ticks between 0 and 1"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "zero_to_1 = np.linspace(0, 1, 100)\n",
      "zero_to_1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "array([ 0.        ,  0.01010101,  0.02020202,  0.03030303,  0.04040404,\n",
        "        0.05050505,  0.06060606,  0.07070707,  0.08080808,  0.09090909,\n",
        "        0.1010101 ,  0.11111111,  0.12121212,  0.13131313,  0.14141414,\n",
        "        0.15151515,  0.16161616,  0.17171717,  0.18181818,  0.19191919,\n",
        "        0.2020202 ,  0.21212121,  0.22222222,  0.23232323,  0.24242424,\n",
        "        0.25252525,  0.26262626,  0.27272727,  0.28282828,  0.29292929,\n",
        "        0.3030303 ,  0.31313131,  0.32323232,  0.33333333,  0.34343434,\n",
        "        0.35353535,  0.36363636,  0.37373737,  0.38383838,  0.39393939,\n",
        "        0.4040404 ,  0.41414141,  0.42424242,  0.43434343,  0.44444444,\n",
        "        0.45454545,  0.46464646,  0.47474747,  0.48484848,  0.49494949,\n",
        "        0.50505051,  0.51515152,  0.52525253,  0.53535354,  0.54545455,\n",
        "        0.55555556,  0.56565657,  0.57575758,  0.58585859,  0.5959596 ,\n",
        "        0.60606061,  0.61616162,  0.62626263,  0.63636364,  0.64646465,\n",
        "        0.65656566,  0.66666667,  0.67676768,  0.68686869,  0.6969697 ,\n",
        "        0.70707071,  0.71717172,  0.72727273,  0.73737374,  0.74747475,\n",
        "        0.75757576,  0.76767677,  0.77777778,  0.78787879,  0.7979798 ,\n",
        "        0.80808081,  0.81818182,  0.82828283,  0.83838384,  0.84848485,\n",
        "        0.85858586,  0.86868687,  0.87878788,  0.88888889,  0.8989899 ,\n",
        "        0.90909091,  0.91919192,  0.92929293,  0.93939394,  0.94949495,\n",
        "        0.95959596,  0.96969697,  0.97979798,  0.98989899,  1.        ])"
       ]
      }
     ],
     "prompt_number": 12
    }
   ],
   "metadata": {}
  }
 ]
}