gistfile1.txt

{
 "metadata": {
  "name": "Histos"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "%pylab inline\nfrom pylab import *\nimport matplotlib.pyplot as plt \nimport matplotlib.gridspec as gridspec ",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "\nWelcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\nFor more information, type 'help(pylab)'.\n"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from matplotlylib import fig_to_plotly\nusername = 'IPython.Demo'\napi_key = '1fw3zw2o13'",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fig1 = plt.figure()\nn = np.random.randn(100000)\nfig1, axes = plt.subplots(1, 2, figsize=(12,4))\n\naxes[0].hist(n)\naxes[0].set_title(\"Default histogram\")\naxes[0].set_xlim((min(n), max(n)))\n\naxes[1].hist(n, cumulative=True, bins=50)\naxes[1].set_title(\"Cumulative detailed histogram\")\naxes[1].set_xlim((min(n), max(n)));\nfig_to_plotly(fig1, username, api_key, notebook= True)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2452/600/450\" width=\"650\"></iframe>",
       "output_type": "pyout",
       "prompt_number": 9,
       "text": "<IPython.core.display.HTML at 0x10c1aa650>"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}