.ipynb_checkpoints/testing_the_stack-checkpoint.ipynb

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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Test Script\n",
      "\n",
      "Checks the right environment is being used and one of the data science modules is installed"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Import the modules"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import sys\n",
      "import IPython"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Print the path to the Python environment."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print(sys.executable)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "/Users/chrisralbon/anaconda/envs/py3k/bin/python3\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Check which version of iPython is being used."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "IPython.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "'2.1.0'"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Run a quick test to see if numpy module is installed."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "arr = np.arange(100)\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, 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": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Run a quick test to see if pandas module is installed."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.DataFrame(np.random.randn(8, 3), \n",
      "                  index=pd.date_range('1/1/2000', periods=8), \n",
      "                  columns=['A', 'B', 'C'])\n",
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>A</th>\n",
        "      <th>B</th>\n",
        "      <th>C</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2000-01-01</th>\n",
        "      <td>-0.881097</td>\n",
        "      <td>-0.158019</td>\n",
        "      <td>-0.287066</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-02</th>\n",
        "      <td> 1.042604</td>\n",
        "      <td> 0.034046</td>\n",
        "      <td>-2.384587</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-03</th>\n",
        "      <td> 0.045189</td>\n",
        "      <td>-0.789010</td>\n",
        "      <td>-0.223752</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-04</th>\n",
        "      <td> 0.103942</td>\n",
        "      <td> 0.344916</td>\n",
        "      <td>-0.370242</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-05</th>\n",
        "      <td> 0.298394</td>\n",
        "      <td> 2.313108</td>\n",
        "      <td>-0.122560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-06</th>\n",
        "      <td>-0.173873</td>\n",
        "      <td>-0.033454</td>\n",
        "      <td>-0.130799</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-07</th>\n",
        "      <td>-0.921055</td>\n",
        "      <td> 0.762864</td>\n",
        "      <td>-0.191838</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-08</th>\n",
        "      <td>-0.390727</td>\n",
        "      <td>-1.312940</td>\n",
        "      <td> 0.401346</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>8 rows \u00d7 3 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "                   A         B         C\n",
        "2000-01-01 -0.881097 -0.158019 -0.287066\n",
        "2000-01-02  1.042604  0.034046 -2.384587\n",
        "2000-01-03  0.045189 -0.789010 -0.223752\n",
        "2000-01-04  0.103942  0.344916 -0.370242\n",
        "2000-01-05  0.298394  2.313108 -0.122560\n",
        "2000-01-06 -0.173873 -0.033454 -0.130799\n",
        "2000-01-07 -0.921055  0.762864 -0.191838\n",
        "2000-01-08 -0.390727 -1.312940  0.401346\n",
        "\n",
        "[8 rows x 3 columns]"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### View the first 4 rows."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df[0:4]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>A</th>\n",
        "      <th>B</th>\n",
        "      <th>C</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2000-01-01</th>\n",
        "      <td>-0.881097</td>\n",
        "      <td>-0.158019</td>\n",
        "      <td>-0.287066</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-02</th>\n",
        "      <td> 1.042604</td>\n",
        "      <td> 0.034046</td>\n",
        "      <td>-2.384587</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-03</th>\n",
        "      <td> 0.045189</td>\n",
        "      <td>-0.789010</td>\n",
        "      <td>-0.223752</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000-01-04</th>\n",
        "      <td> 0.103942</td>\n",
        "      <td> 0.344916</td>\n",
        "      <td>-0.370242</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>4 rows \u00d7 3 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "                   A         B         C\n",
        "2000-01-01 -0.881097 -0.158019 -0.287066\n",
        "2000-01-02  1.042604  0.034046 -2.384587\n",
        "2000-01-03  0.045189 -0.789010 -0.223752\n",
        "2000-01-04  0.103942  0.344916 -0.370242\n",
        "\n",
        "[4 rows x 3 columns]"
       ]
      }
     ],
     "prompt_number": 7
    }
   ],
   "metadata": {}
  }
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}