matplotlib to plotly demo

matplotlib to plotly demo

{
 "metadata": {
  "name": "Plotly Demo"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from pylab import * \nimport plotly\n#py = plotly.plotly('me', 'mykey')\n\n\ndef to_plotly(ax=None):\n    '''\n    converts a matplotlib plot to a inline plotly plot. \n    '''\n    if ax is None:\n        ax = gca()\n    \n    lines = []\n    for line in ax.get_lines():\n        lines.append({'x': line.get_xdata(),\n                      'y': line.get_ydata(),\n                      'name': line.get_label(),\n                      })\n   \n    \n    layout = {'title':ax.get_title(),\n              'xaxis':{'title':ax.get_xlabel()},\n              'yaxis':{'title':ax.get_ylabel()}\n              }\n    filename = ax.get_title()  if ax.get_title() != '' else 'Untitled'\n    print filename\n    close('all')\n    #return lines, layout\n    return py.iplot(lines,layout=layout, filename = filename)    \n\n\n\nplot(rand(100), label = 'trace1')\nplot(rand(100)+1, label = 'trace2')\ntitle('Title')\nxlabel('X label')\nylabel('Y label ')\n\nresponse = to_plotly()\nresponse ",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "Title\n"
      },
      {
       "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~arsenovic/10/600/450\" width=\"650\"></iframe>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 44,
       "text": "<IPython.core.display.HTML at 0xc290550>"
      }
     ],
     "prompt_number": 44
    }
   ],
   "metadata": {}
  }
 ]
}