{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.plotly as py\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# sign into the plotly api\n",
    "py.sign_in(\"\", \"\")\n",
    "\n",
    "# create some random dataframes\n",
    "dates = pd.date_range('1/1/2000', periods=8)\n",
    "df1 = pd.DataFrame(np.random.randn(8, 1), index=dates, columns=['A'])\n",
    "df2 = pd.DataFrame(np.random.randn(8, 1), index=dates, columns=['B'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~etpinard/3487.embed\" height=\"525\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1)\n",
    "\n",
    "df1.plot(y='A', ax=ax)\n",
    "df2.plot(y='B', ax=ax)\n",
    "\n",
    "py.iplot_mpl(fig, filename='random')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~etpinard/3488.embed\" height=\"525\" width=\"100%\"></iframe>"
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      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "update = dict(\n",
    "    layout=dict(\n",
    "        showlegend=True  # show legend \n",
    "    )\n",
    ")\n",
    "py.iplot_mpl(fig, update=update, filename='random-with-legend')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": []
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