Custom datetime ranges with Plotly

Custom datetime ranges with plotly.ipynb

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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Custom Datetime Axis Ranges with Plotly"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/Users/chris/anaconda/lib/python2.7/site-packages/pandas/computation/expressions.py:21: UserWarning: The installed version of numexpr 2.0.1 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
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import datetime"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def to_unix_time(dt):\n",
      "    epoch =  datetime.datetime.utcfromtimestamp(0)\n",
      "    return (dt - epoch).total_seconds() * 1000"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "py.iplot({\n",
      "    'data': [{'x': datetime.datetime(2014, 2, 1), 'y': [1]}],\n",
      "    'layout': {'xaxis': {'range': [\n",
      "        to_unix_time(datetime.datetime(2014, 1, 1)),\n",
      "        to_unix_time(datetime.datetime(2014, 3, 1))\n",
      "    ]}}\n",
      "}, filename='datetime custom ranges')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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       "metadata": {},
       "output_type": "pyout",
       "png": 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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}