notebook3 #notebook #notebook #test-tag

Untitled1.ipynb

{
 "metadata": {
  "gist_id": "4982999",
  "kernelspec": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "display_name": "IPython (Python 2)",
   "language": "python",
   "name": "python2"
  },
  "name": "notebook3",
  "notebook_path": "https://gist.github.com/4982999"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/Users/datacaliber/Dropbox/Projects/trading/python/externals/pandas/pandas/computation/expressions.py:21: UserWarning: The installed version of numexpr 2.0 is not supported in pandas and will be not be used\n",
        "The minimum supported version is 2.1\n",
        "\n",
        "  \"version is 2.1\\n\".format(ver=ver), UserWarning)\n"
       ]
      }
     ],
     "prompt_number": 1,
     "trusted": false
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr = np.arange(100)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3,
     "trusted": false
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "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,
     "trusted": false
    }
   ],
   "metadata": {}
  }
 ]
}