nyc-employment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import time\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "%matplotlib inline\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dates</th>\n",
       "      <th>Employment (Per Thousands of Person)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>3647.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>3652.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006-03-01</td>\n",
       "      <td>3664.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2006-04-01</td>\n",
       "      <td>3671.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2006-05-01</td>\n",
       "      <td>3677.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2006-06-01</td>\n",
       "      <td>3682.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2006-07-01</td>\n",
       "      <td>3682.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2006-08-01</td>\n",
       "      <td>3680.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2006-09-01</td>\n",
       "      <td>3695.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2006-10-01</td>\n",
       "      <td>3701.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2006-11-01</td>\n",
       "      <td>3713.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2006-12-01</td>\n",
       "      <td>3725.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>3733.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2007-02-01</td>\n",
       "      <td>3742.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2007-03-01</td>\n",
       "      <td>3748.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2007-04-01</td>\n",
       "      <td>3745.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2007-05-01</td>\n",
       "      <td>3750.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2007-06-01</td>\n",
       "      <td>3760.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2007-07-01</td>\n",
       "      <td>3761.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2007-08-01</td>\n",
       "      <td>3764.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2007-09-01</td>\n",
       "      <td>3771.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2007-10-01</td>\n",
       "      <td>3783.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2007-11-01</td>\n",
       "      <td>3790.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2007-12-01</td>\n",
       "      <td>3793.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>3807.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2008-02-01</td>\n",
       "      <td>3815.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2008-03-01</td>\n",
       "      <td>3815.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2008-04-01</td>\n",
       "      <td>3822.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2008-05-01</td>\n",
       "      <td>3818.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2008-06-01</td>\n",
       "      <td>3821.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2013-07-01</td>\n",
       "      <td>4003.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2013-08-01</td>\n",
       "      <td>4010.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2013-09-01</td>\n",
       "      <td>4021.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>4037.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2013-11-01</td>\n",
       "      <td>4050.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2013-12-01</td>\n",
       "      <td>4057.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>4062.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>4075.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>4084.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4100.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2014-05-01</td>\n",
       "      <td>4115.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>4126.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>4138.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>4156.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>4163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>4171.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>4186.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>4196.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>4206.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2015-02-01</td>\n",
       "      <td>4214.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>4219.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>4221.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2015-05-01</td>\n",
       "      <td>4237.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>4253.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>4255.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>4265.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2015-09-01</td>\n",
       "      <td>4275.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>4291.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2015-11-01</td>\n",
       "      <td>4300.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2015-12-01</td>\n",
       "      <td>4306.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Dates Employment (Per Thousands of Person)\n",
       "1    2006-01-01                               3647.9\n",
       "2    2006-02-01                               3652.1\n",
       "3    2006-03-01                               3664.6\n",
       "4    2006-04-01                               3671.5\n",
       "5    2006-05-01                               3677.7\n",
       "6    2006-06-01                               3682.7\n",
       "7    2006-07-01                               3682.4\n",
       "8    2006-08-01                               3680.4\n",
       "9    2006-09-01                               3695.4\n",
       "10   2006-10-01                               3701.7\n",
       "11   2006-11-01                               3713.9\n",
       "12   2006-12-01                               3725.3\n",
       "13   2007-01-01                               3733.4\n",
       "14   2007-02-01                               3742.3\n",
       "15   2007-03-01                               3748.2\n",
       "16   2007-04-01                               3745.6\n",
       "17   2007-05-01                               3750.9\n",
       "18   2007-06-01                               3760.1\n",
       "19   2007-07-01                               3761.5\n",
       "20   2007-08-01                               3764.1\n",
       "21   2007-09-01                               3771.0\n",
       "22   2007-10-01                               3783.0\n",
       "23   2007-11-01                               3790.1\n",
       "24   2007-12-01                               3793.0\n",
       "25   2008-01-01                               3807.6\n",
       "26   2008-02-01                               3815.0\n",
       "27   2008-03-01                               3815.1\n",
       "28   2008-04-01                               3822.7\n",
       "29   2008-05-01                               3818.5\n",
       "30   2008-06-01                               3821.3\n",
       "..          ...                                  ...\n",
       "91   2013-07-01                               4003.6\n",
       "92   2013-08-01                               4010.1\n",
       "93   2013-09-01                               4021.9\n",
       "94   2013-10-01                               4037.4\n",
       "95   2013-11-01                               4050.5\n",
       "96   2013-12-01                               4057.9\n",
       "97   2014-01-01                               4062.6\n",
       "98   2014-02-01                               4075.7\n",
       "99   2014-03-01                               4084.4\n",
       "100  2014-04-01                               4100.6\n",
       "101  2014-05-01                               4115.0\n",
       "102  2014-06-01                               4126.9\n",
       "103  2014-07-01                               4138.6\n",
       "104  2014-08-01                               4156.2\n",
       "105  2014-09-01                               4163.0\n",
       "106  2014-10-01                               4171.9\n",
       "107  2014-11-01                               4186.2\n",
       "108  2014-12-01                               4196.1\n",
       "109  2015-01-01                               4206.5\n",
       "110  2015-02-01                               4214.7\n",
       "111  2015-03-01                               4219.7\n",
       "112  2015-04-01                               4221.4\n",
       "113  2015-05-01                               4237.1\n",
       "114  2015-06-01                               4253.0\n",
       "115  2015-07-01                               4255.5\n",
       "116  2015-08-01                               4265.1\n",
       "117  2015-09-01                               4275.0\n",
       "118  2015-10-01                               4291.8\n",
       "119  2015-11-01                               4300.5\n",
       "120  2015-12-01                               4306.4\n",
       "\n",
       "[120 rows x 2 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "empl_df = pd.read_csv(\"nyc-employment.csv\",names=['Dates','Employment (Per Thousands of Person)'])\n",
    "#removing headers\n",
    "empl_df = empl_df.ix[1:]\n",
    "empl_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/syedalishehryar/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:1: FutureWarning: the coerce=True keyword is deprecated, use errors='coerce' instead\n",
      "  if __name__ == '__main__':\n"
     ]
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dates</th>\n",
       "      <th>Employment (Per Thousands of Person)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>3647.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>3652.1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006-03-01</td>\n",
       "      <td>3664.6</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2006-04-01</td>\n",
       "      <td>3671.5</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2006-05-01</td>\n",
       "      <td>3677.7</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2006-06-01</td>\n",
       "      <td>3682.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2006-07-01</td>\n",
       "      <td>3682.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2006-08-01</td>\n",
       "      <td>3680.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2006-09-01</td>\n",
       "      <td>3695.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2006-10-01</td>\n",
       "      <td>3701.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2006-11-01</td>\n",
       "      <td>3713.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2006-12-01</td>\n",
       "      <td>3725.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>3733.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2007-02-01</td>\n",
       "      <td>3742.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2007-03-01</td>\n",
       "      <td>3748.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2007-04-01</td>\n",
       "      <td>3745.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2007-05-01</td>\n",
       "      <td>3750.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2007-06-01</td>\n",
       "      <td>3760.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2007-07-01</td>\n",
       "      <td>3761.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2007-08-01</td>\n",
       "      <td>3764.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2007-09-01</td>\n",
       "      <td>3771.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2007-10-01</td>\n",
       "      <td>3783.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2007-11-01</td>\n",
       "      <td>3790.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2007-12-01</td>\n",
       "      <td>3793.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>3807.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2008-02-01</td>\n",
       "      <td>3815.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2008-03-01</td>\n",
       "      <td>3815.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2008-04-01</td>\n",
       "      <td>3822.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2008-05-01</td>\n",
       "      <td>3818.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2008-06-01</td>\n",
       "      <td>3821.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2013-07-01</td>\n",
       "      <td>4003.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2013-08-01</td>\n",
       "      <td>4010.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2013-09-01</td>\n",
       "      <td>4021.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2013-10-01</td>\n",
       "      <td>4037.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2013-11-01</td>\n",
       "      <td>4050.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2013-12-01</td>\n",
       "      <td>4057.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>4062.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>4075.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>4084.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>4100.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2014-05-01</td>\n",
       "      <td>4115.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>4126.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>4138.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>4156.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>4163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>4171.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>4186.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>4196.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>4206.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2015-02-01</td>\n",
       "      <td>4214.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>4219.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>4221.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2015-05-01</td>\n",
       "      <td>4237.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>4253.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>4255.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>4265.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2015-09-01</td>\n",
       "      <td>4275.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>4291.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2015-11-01</td>\n",
       "      <td>4300.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2015-12-01</td>\n",
       "      <td>4306.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Dates  Employment (Per Thousands of Person)\n",
       "1   2006-01-01                                3647.9\n",
       "2   2006-02-01                                3652.1\n",
       "3   2006-03-01                                3664.6\n",
       "4   2006-04-01                                3671.5\n",
       "5   2006-05-01                                3677.7\n",
       "6   2006-06-01                                3682.7\n",
       "7   2006-07-01                                3682.4\n",
       "8   2006-08-01                                3680.4\n",
       "9   2006-09-01                                3695.4\n",
       "10  2006-10-01                                3701.7\n",
       "11  2006-11-01                                3713.9\n",
       "12  2006-12-01                                3725.3\n",
       "13  2007-01-01                                3733.4\n",
       "14  2007-02-01                                3742.3\n",
       "15  2007-03-01                                3748.2\n",
       "16  2007-04-01                                3745.6\n",
       "17  2007-05-01                                3750.9\n",
       "18  2007-06-01                                3760.1\n",
       "19  2007-07-01                                3761.5\n",
       "20  2007-08-01                                3764.1\n",
       "21  2007-09-01                                3771.0\n",
       "22  2007-10-01                                3783.0\n",
       "23  2007-11-01                                3790.1\n",
       "24  2007-12-01                                3793.0\n",
       "25  2008-01-01                                3807.6\n",
       "26  2008-02-01                                3815.0\n",
       "27  2008-03-01                                3815.1\n",
       "28  2008-04-01                                3822.7\n",
       "29  2008-05-01                                3818.5\n",
       "30  2008-06-01                                3821.3\n",
       "..         ...                                   ...\n",
       "91  2013-07-01                                4003.6\n",
       "92  2013-08-01                                4010.1\n",
       "93  2013-09-01                                4021.9\n",
       "94  2013-10-01                                4037.4\n",
       "95  2013-11-01                                4050.5\n",
       "96  2013-12-01                                4057.9\n",
       "97  2014-01-01                                4062.6\n",
       "98  2014-02-01                                4075.7\n",
       "99  2014-03-01                                4084.4\n",
       "100 2014-04-01                                4100.6\n",
       "101 2014-05-01                                4115.0\n",
       "102 2014-06-01                                4126.9\n",
       "103 2014-07-01                                4138.6\n",
       "104 2014-08-01                                4156.2\n",
       "105 2014-09-01                                4163.0\n",
       "106 2014-10-01                                4171.9\n",
       "107 2014-11-01                                4186.2\n",
       "108 2014-12-01                                4196.1\n",
       "109 2015-01-01                                4206.5\n",
       "110 2015-02-01                                4214.7\n",
       "111 2015-03-01                                4219.7\n",
       "112 2015-04-01                                4221.4\n",
       "113 2015-05-01                                4237.1\n",
       "114 2015-06-01                                4253.0\n",
       "115 2015-07-01                                4255.5\n",
       "116 2015-08-01                                4265.1\n",
       "117 2015-09-01                                4275.0\n",
       "118 2015-10-01                                4291.8\n",
       "119 2015-11-01                                4300.5\n",
       "120 2015-12-01                                4306.4\n",
       "\n",
       "[120 rows x 2 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "empl_df['Dates'] = pd.to_datetime(empl_df['Dates'], coerce=True)\n",
    "\n",
    "empl_df['Employment (Per Thousands of Person)'] = empl_df['Employment (Per Thousands of Person)'].astype(float)\n",
    "empl_df.dtypes\n",
    "empl_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "    };var element = document.getElementById(\"fa9066bd-a1e5-44a8-ae2a-9ec3d1f78a7f\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'fa9066bd-a1e5-44a8-ae2a-9ec3d1f78a7f' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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       "            var render_items = [{\"docid\":\"0c631f4d-69b7-4966-829b-ffedcbf754fb\",\"elementid\":\"fa9066bd-a1e5-44a8-ae2a-9ec3d1f78a7f\",\"modelid\":\"767d852c-6cf6-42f9-b7db-4d09e29ed100\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"fa9066bd-a1e5-44a8-ae2a-9ec3d1f78a7f\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import bokeh.io, bokeh.plotting, bokeh.models, bokeh.charts\n",
    "from bokeh.models import DatetimeTickFormatter\n",
    "bokeh.io.output_notebook()\n",
    "from bokeh.layouts import gridplot\n",
    "from bokeh.plotting import figure, show, output_file\n",
    "#p1 = bokeh.plotting.figure()\n",
    "#p.circle(empl_df['Dates'], empl_df['Employment (Per Thousands of Person)'])\n",
    "#p.line(empl_df['Dates'],empl_df['Employment (Per Thousands of Person)'])\n",
    "#bokeh.plotting.show(p)\n",
    "\n",
    "#p = figure(x_axis_type=\"datetime\", title=\"Stock Closing Prices\")\n",
    "#p1.grid.grid_line_alpha=0.3\n",
    "#p1.xaxis.axis_label = 'Date'\n",
    "#p1.yaxis.axis_label = 'Price'\n",
    "\n",
    "#p1.line(datetime(AAPL['date']), AAPL['adj_close'], color='#A6CEE3', legend='AAPL')\n",
    "#p.line(empl_df['Dates'], empl_df['Employment (Per Thousands of Person)'])\n",
    "#p.xaxis.formatter=DatetimeTickFormatter(\n",
    "        \n",
    "#     years=[\"%d %B %Y\"],\n",
    " #   )\n",
    "#p.xaxis.major_label_orientation = pi/4\n",
    "#output_file('myplot.html')\n",
    "#show(p)\n",
    "\n",
    "\n",
    "p1 = figure(x_axis_type=\"datetime\", title=\" NYC Employment - 2006 to 2015\")\n",
    "p1.grid.grid_line_alpha=0.3\n",
    "p1.xaxis.axis_label = 'Year'\n",
    "p1.yaxis.axis_label = 'Employment (Per Thousands of Person)'\n",
    "p1.xaxis[0].ticker.desired_num_ticks = 10 #adjust the number of ticks for time axis\n",
    "\n",
    "p1.line(empl_df['Dates'], empl_df['Employment (Per Thousands of Person)'], color='#B2DF8A',line_width = 3)\n",
    "\n",
    "show(p1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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