{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This is a title\n",
    "dsjksd\n",
    "sd\n",
    "gsf;sfag\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "\n",
    "data = pd.read_csv('day.csv')\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7638803198>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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USj2e+/3LAJYR0cFKqcUAjgcwC8DRSqnNAJYS0fcB/ISILlFK9QI4C8C7Sqlc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\nF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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7638790c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[24*10:].plot(x='dteday', y='cnt')"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
