Pollution 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#AQI= Air Quality Index, range = 0-500|AQI<50 -> good air quality|AQI>300 -> hazardous air quality|\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "pdf=pd.read_csv('pollution_us_2000_2016.csv')\n",
    "pdf\n",
    "pdf=pdf.drop(columns=['Unnamed: 0'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-61-0fd72b676c2a>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  pdf['count']=1\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>Address</th>\n",
       "      <th>State</th>\n",
       "      <th>County</th>\n",
       "      <th>City</th>\n",
       "      <th>Date Local</th>\n",
       "      <th>NO2 Units</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>...</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Units</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3002</td>\n",
       "      <td>1645 E ROOSEVELT ST-CENTRAL PHOENIX STN</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>Maricopa</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>19.041667</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>21</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>1.145833</td>\n",
       "      <td>4.200</td>\n",
       "      <td>21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3002</td>\n",
       "      <td>1645 E ROOSEVELT ST-CENTRAL PHOENIX STN</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>Maricopa</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>19.041667</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>21</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.878947</td>\n",
       "      <td>2.200</td>\n",
       "      <td>23</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3002</td>\n",
       "      <td>1645 E ROOSEVELT ST-CENTRAL PHOENIX STN</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>Maricopa</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>19.041667</td>\n",
       "      <td>...</td>\n",
       "      <td>2.975000</td>\n",
       "      <td>6.6</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>1.145833</td>\n",
       "      <td>4.200</td>\n",
       "      <td>21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3002</td>\n",
       "      <td>1645 E ROOSEVELT ST-CENTRAL PHOENIX STN</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>Maricopa</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>19.041667</td>\n",
       "      <td>...</td>\n",
       "      <td>2.975000</td>\n",
       "      <td>6.6</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.878947</td>\n",
       "      <td>2.200</td>\n",
       "      <td>23</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3002</td>\n",
       "      <td>1645 E ROOSEVELT ST-CENTRAL PHOENIX STN</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>Maricopa</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>2000-01-02</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>22.958333</td>\n",
       "      <td>...</td>\n",
       "      <td>1.958333</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>1.600</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1746656</th>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>100</td>\n",
       "      <td>NCore - North Cheyenne Soccer Complex</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Not in a city</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>1.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.091667</td>\n",
       "      <td>0.100</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1746657</th>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>100</td>\n",
       "      <td>NCore - North Cheyenne Soccer Complex</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Not in a city</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>0.939130</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.067714</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1746658</th>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>100</td>\n",
       "      <td>NCore - North Cheyenne Soccer Complex</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Not in a city</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>0.939130</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1746659</th>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>100</td>\n",
       "      <td>NCore - North Cheyenne Soccer Complex</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Not in a city</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>0.939130</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.067714</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1746660</th>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>100</td>\n",
       "      <td>NCore - North Cheyenne Soccer Complex</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Not in a city</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>Parts per billion</td>\n",
       "      <td>0.939130</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parts per million</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1737155 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         State Code  County Code  Site Num  \\\n",
       "0                 4           13      3002   \n",
       "1                 4           13      3002   \n",
       "2                 4           13      3002   \n",
       "3                 4           13      3002   \n",
       "4                 4           13      3002   \n",
       "...             ...          ...       ...   \n",
       "1746656          56           21       100   \n",
       "1746657          56           21       100   \n",
       "1746658          56           21       100   \n",
       "1746659          56           21       100   \n",
       "1746660          56           21       100   \n",
       "\n",
       "                                         Address    State    County  \\\n",
       "0        1645 E ROOSEVELT ST-CENTRAL PHOENIX STN  Arizona  Maricopa   \n",
       "1        1645 E ROOSEVELT ST-CENTRAL PHOENIX STN  Arizona  Maricopa   \n",
       "2        1645 E ROOSEVELT ST-CENTRAL PHOENIX STN  Arizona  Maricopa   \n",
       "3        1645 E ROOSEVELT ST-CENTRAL PHOENIX STN  Arizona  Maricopa   \n",
       "4        1645 E ROOSEVELT ST-CENTRAL PHOENIX STN  Arizona  Maricopa   \n",
       "...                                          ...      ...       ...   \n",
       "1746656    NCore - North Cheyenne Soccer Complex  Wyoming   Laramie   \n",
       "1746657    NCore - North Cheyenne Soccer Complex  Wyoming   Laramie   \n",
       "1746658    NCore - North Cheyenne Soccer Complex  Wyoming   Laramie   \n",
       "1746659    NCore - North Cheyenne Soccer Complex  Wyoming   Laramie   \n",
       "1746660    NCore - North Cheyenne Soccer Complex  Wyoming   Laramie   \n",
       "\n",
       "                  City  Date Local          NO2 Units   NO2 Mean  ...  \\\n",
       "0              Phoenix  2000-01-01  Parts per billion  19.041667  ...   \n",
       "1              Phoenix  2000-01-01  Parts per billion  19.041667  ...   \n",
       "2              Phoenix  2000-01-01  Parts per billion  19.041667  ...   \n",
       "3              Phoenix  2000-01-01  Parts per billion  19.041667  ...   \n",
       "4              Phoenix  2000-01-02  Parts per billion  22.958333  ...   \n",
       "...                ...         ...                ...        ...  ...   \n",
       "1746656  Not in a city  2016-03-30  Parts per billion   1.083333  ...   \n",
       "1746657  Not in a city  2016-03-31  Parts per billion   0.939130  ...   \n",
       "1746658  Not in a city  2016-03-31  Parts per billion   0.939130  ...   \n",
       "1746659  Not in a city  2016-03-31  Parts per billion   0.939130  ...   \n",
       "1746660  Not in a city  2016-03-31  Parts per billion   0.939130  ...   \n",
       "\n",
       "         SO2 Mean  SO2 1st Max Value  SO2 1st Max Hour SO2 AQI  \\\n",
       "0        3.000000                9.0                21    13.0   \n",
       "1        3.000000                9.0                21    13.0   \n",
       "2        2.975000                6.6                23     NaN   \n",
       "3        2.975000                6.6                23     NaN   \n",
       "4        1.958333                3.0                22     4.0   \n",
       "...           ...                ...               ...     ...   \n",
       "1746656  0.000000                0.0                 2     NaN   \n",
       "1746657 -0.022727                0.0                 0     0.0   \n",
       "1746658 -0.022727                0.0                 0     0.0   \n",
       "1746659  0.000000                0.0                 5     NaN   \n",
       "1746660  0.000000                0.0                 5     NaN   \n",
       "\n",
       "                  CO Units   CO Mean  CO 1st Max Value  CO 1st Max Hour  \\\n",
       "0        Parts per million  1.145833             4.200               21   \n",
       "1        Parts per million  0.878947             2.200               23   \n",
       "2        Parts per million  1.145833             4.200               21   \n",
       "3        Parts per million  0.878947             2.200               23   \n",
       "4        Parts per million  0.850000             1.600               23   \n",
       "...                    ...       ...               ...              ...   \n",
       "1746656  Parts per million  0.091667             0.100                2   \n",
       "1746657  Parts per million  0.067714             0.127                0   \n",
       "1746658  Parts per million  0.100000             0.100                0   \n",
       "1746659  Parts per million  0.067714             0.127                0   \n",
       "1746660  Parts per million  0.100000             0.100                0   \n",
       "\n",
       "        CO AQI  count  \n",
       "0          NaN      1  \n",
       "1         25.0      1  \n",
       "2          NaN      1  \n",
       "3         25.0      1  \n",
       "4          NaN      1  \n",
       "...        ...    ...  \n",
       "1746656    1.0      1  \n",
       "1746657    NaN      1  \n",
       "1746658    1.0      1  \n",
       "1746659    NaN      1  \n",
       "1746660    1.0      1  \n",
       "\n",
       "[1737155 rows x 29 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf=pdf[pdf['State']!='Country Of Mexico']\n",
    "pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean AQI of major pollutants in non-urban regions\n",
      "                 NO2 AQI     O3 AQI   SO2 AQI    CO AQI\n",
      "City                                                   \n",
      "Not in a city  12.955148  34.980919  3.563751  3.770168\n",
      "Mean AQI of major pollutants in urban regions\n",
      "          NO2 AQI     O3 AQI   SO2 AQI    CO AQI\n",
      "Region                                          \n",
      "urban   23.356404  36.937136  8.688706  5.455603\n"
     ]
    }
   ],
   "source": [
    "#determine number of sites not in a city\n",
    "#pdf=pdf.drop(columns=['Unnamed: 0'])\n",
    "pdf_no_city=pdf.loc[(pdf['City']=='Not in a city')]\n",
    "pdf_no_city.groupby(['City']).count()['count']\n",
    "#determine rate of each pollutant outside of cities\n",
    "pdf_no_city=pdf_no_city.groupby(['City']).mean()\n",
    "print('Mean AQI of major pollutants in non-urban regions')\n",
    "print(pdf_no_city[['NO2 AQI','O3 AQI','SO2 AQI','CO AQI']])\n",
    "pdf_city=pdf.loc[(pdf['City']!='Not in a city')]\n",
    "pdf_city=pdf_city.groupby(['City']).mean()\n",
    "pdf_city=pdf_city[['NO2 AQI','O3 AQI','SO2 AQI','CO AQI']]\n",
    "pdf_city['Region']='urban'\n",
    "pdf_city=pdf_city.groupby(['Region']).mean()\n",
    "print('Mean AQI of major pollutants in urban regions')\n",
    "print(pdf_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "States with highest NO2 AQI\n",
      "States with lowest NO2 AQI\n",
      "States with highest O3 AQI\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>O3 AQI</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>2.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>11.313152</td>\n",
       "      <td>21.046910</td>\n",
       "      <td>12.218845</td>\n",
       "      <td>19.553191</td>\n",
       "      <td>0.012799</td>\n",
       "      <td>0.019116</td>\n",
       "      <td>10.341439</td>\n",
       "      <td>17.725431</td>\n",
       "      <td>6.083755</td>\n",
       "      <td>9.659372</td>\n",
       "      <td>9.983789</td>\n",
       "      <td>14.487335</td>\n",
       "      <td>0.423438</td>\n",
       "      <td>0.677599</td>\n",
       "      <td>10.138804</td>\n",
       "      <td>6.528340</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>41.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9.650599</td>\n",
       "      <td>18.546617</td>\n",
       "      <td>12.245888</td>\n",
       "      <td>17.246736</td>\n",
       "      <td>0.019261</td>\n",
       "      <td>0.028924</td>\n",
       "      <td>10.392742</td>\n",
       "      <td>25.167882</td>\n",
       "      <td>0.978803</td>\n",
       "      <td>1.729540</td>\n",
       "      <td>10.355096</td>\n",
       "      <td>2.035266</td>\n",
       "      <td>0.305456</td>\n",
       "      <td>0.547753</td>\n",
       "      <td>9.466000</td>\n",
       "      <td>5.323724</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>18.646619</td>\n",
       "      <td>31.475524</td>\n",
       "      <td>12.405711</td>\n",
       "      <td>29.778324</td>\n",
       "      <td>0.020667</td>\n",
       "      <td>0.029743</td>\n",
       "      <td>10.235120</td>\n",
       "      <td>25.913035</td>\n",
       "      <td>2.561435</td>\n",
       "      <td>5.213494</td>\n",
       "      <td>10.617560</td>\n",
       "      <td>8.007972</td>\n",
       "      <td>0.318438</td>\n",
       "      <td>0.526043</td>\n",
       "      <td>10.228166</td>\n",
       "      <td>5.539959</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.164697</td>\n",
       "      <td>9.264549</td>\n",
       "      <td>9.601697</td>\n",
       "      <td>8.659893</td>\n",
       "      <td>0.025159</td>\n",
       "      <td>0.030411</td>\n",
       "      <td>9.284080</td>\n",
       "      <td>26.674689</td>\n",
       "      <td>0.985950</td>\n",
       "      <td>1.782215</td>\n",
       "      <td>11.177155</td>\n",
       "      <td>2.284646</td>\n",
       "      <td>0.367477</td>\n",
       "      <td>0.426746</td>\n",
       "      <td>4.415368</td>\n",
       "      <td>4.483133</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>55.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>14.968732</td>\n",
       "      <td>27.730871</td>\n",
       "      <td>12.377309</td>\n",
       "      <td>26.166227</td>\n",
       "      <td>0.022432</td>\n",
       "      <td>0.031734</td>\n",
       "      <td>10.350923</td>\n",
       "      <td>27.321900</td>\n",
       "      <td>2.614880</td>\n",
       "      <td>4.991161</td>\n",
       "      <td>6.600264</td>\n",
       "      <td>8.279683</td>\n",
       "      <td>0.350427</td>\n",
       "      <td>0.559103</td>\n",
       "      <td>6.266491</td>\n",
       "      <td>5.248021</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               State Code  County Code  Site Num   NO2 Mean  \\\n",
       "State                                                         \n",
       "Alaska                2.0         90.0      34.0  11.313152   \n",
       "Oregon               41.0         51.0      80.0   9.650599   \n",
       "Massachusetts        25.0         25.0      42.0  18.646619   \n",
       "Hawaii               15.0          3.0      10.0   3.164697   \n",
       "Wisconsin            55.0         79.0      26.0  14.968732   \n",
       "\n",
       "               NO2 1st Max Value  NO2 1st Max Hour    NO2 AQI   O3 Mean  \\\n",
       "State                                                                     \n",
       "Alaska                 21.046910         12.218845  19.553191  0.012799   \n",
       "Oregon                 18.546617         12.245888  17.246736  0.019261   \n",
       "Massachusetts          31.475524         12.405711  29.778324  0.020667   \n",
       "Hawaii                  9.264549          9.601697   8.659893  0.025159   \n",
       "Wisconsin              27.730871         12.377309  26.166227  0.022432   \n",
       "\n",
       "               O3 1st Max Value  O3 1st Max Hour     O3 AQI  SO2 Mean  \\\n",
       "State                                                                   \n",
       "Alaska                 0.019116        10.341439  17.725431  6.083755   \n",
       "Oregon                 0.028924        10.392742  25.167882  0.978803   \n",
       "Massachusetts          0.029743        10.235120  25.913035  2.561435   \n",
       "Hawaii                 0.030411         9.284080  26.674689  0.985950   \n",
       "Wisconsin              0.031734        10.350923  27.321900  2.614880   \n",
       "\n",
       "               SO2 1st Max Value  SO2 1st Max Hour    SO2 AQI   CO Mean  \\\n",
       "State                                                                     \n",
       "Alaska                  9.659372          9.983789  14.487335  0.423438   \n",
       "Oregon                  1.729540         10.355096   2.035266  0.305456   \n",
       "Massachusetts           5.213494         10.617560   8.007972  0.318438   \n",
       "Hawaii                  1.782215         11.177155   2.284646  0.367477   \n",
       "Wisconsin               4.991161          6.600264   8.279683  0.350427   \n",
       "\n",
       "               CO 1st Max Value  CO 1st Max Hour    CO AQI  count  \n",
       "State                                                              \n",
       "Alaska                 0.677599        10.138804  6.528340    1.0  \n",
       "Oregon                 0.547753         9.466000  5.323724    1.0  \n",
       "Massachusetts          0.526043        10.228166  5.539959    1.0  \n",
       "Hawaii                 0.426746         4.415368  4.483133    1.0  \n",
       "Wisconsin              0.559103         6.266491  5.248021    1.0  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_states=pdf.groupby(['State']).mean()\n",
    "print('States with highest NO2 AQI')\n",
    "pdf_states.sort_values('NO2 AQI',ascending=False).head(5)\n",
    "#top 5 states with highest NO2 AQI over range 2000-2016 (Arizona, Colorado, Michigan, New Jersey, DC)\n",
    "print('States with lowest NO2 AQI')\n",
    "#top 5 states with lowest NO2 AQI over range 2000-2016 (Tennessee, South Carolina, Hawaii, Wyoming, South Dakota)\n",
    "pdf_states.sort_values('NO2 AQI',ascending=True).head(5)\n",
    "print('States with highest O3 AQI')\n",
    "pdf_states.sort_values('O3 AQI',ascending=False).head(5)\n",
    "#top 5 states with highest O3 AQI over range 2000-2016 (Tennessee, North Carolina, Kentucky, Utah, Missouri)\n",
    "pdf_states.sort_values('O3 AQI',ascending=True).head(5)\n",
    "#top 5 states with lowest O3 AQI over range 2000-2016 (Alaska, Oregon, Massachusetts, Hawaii, Wisconsin)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_dates=pdf.groupby(['Date Local']).mean()\n",
    "pdf_dates['Year']=2000\n",
    "total_num=pdf_dates['Site Num'].count()\n",
    "#pdf_dates.index[1]\n",
    "#pdf_dates.iloc[0,1]=63.8\n",
    "pdf_dates\n",
    "for x in range (0,total_num-1):\n",
    "    if (\"2001\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2001'\n",
    "    elif (\"2002\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2002'\n",
    "    elif (\"2003\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2003'\n",
    "    elif (\"2004\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2004'\n",
    "    elif (\"2005\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2005'\n",
    "    elif (\"2006\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2006'\n",
    "    elif (\"2007\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2007'\n",
    "    elif (\"2008\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2008'\n",
    "    elif (\"2009\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2009'\n",
    "    elif (\"2010\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2010'\n",
    "    elif (\"2011\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2011'\n",
    "    elif (\"2012\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2012'\n",
    "    elif (\"2013\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2013'\n",
    "    elif (\"2014\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2014'\n",
    "    elif (\"2015\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2015'\n",
    "    elif (\"2016\" in pdf_dates.index[x]):\n",
    "        pdf_dates.iloc[x,20]='2016'       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Years with highest NO2 AQI\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>O3 AQI</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>20.674357</td>\n",
       "      <td>78.115565</td>\n",
       "      <td>1315.434078</td>\n",
       "      <td>18.236233</td>\n",
       "      <td>33.748884</td>\n",
       "      <td>12.395383</td>\n",
       "      <td>31.766192</td>\n",
       "      <td>0.022997</td>\n",
       "      <td>0.037021</td>\n",
       "      <td>10.086204</td>\n",
       "      <td>33.738631</td>\n",
       "      <td>3.647533</td>\n",
       "      <td>8.540830</td>\n",
       "      <td>10.241052</td>\n",
       "      <td>13.944365</td>\n",
       "      <td>0.602532</td>\n",
       "      <td>1.103742</td>\n",
       "      <td>8.983929</td>\n",
       "      <td>10.492938</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>19.421797</td>\n",
       "      <td>71.967418</td>\n",
       "      <td>1301.564172</td>\n",
       "      <td>18.121734</td>\n",
       "      <td>33.503600</td>\n",
       "      <td>12.305734</td>\n",
       "      <td>31.727132</td>\n",
       "      <td>0.024183</td>\n",
       "      <td>0.038670</td>\n",
       "      <td>10.116562</td>\n",
       "      <td>35.564574</td>\n",
       "      <td>3.118774</td>\n",
       "      <td>7.723745</td>\n",
       "      <td>9.785536</td>\n",
       "      <td>12.580327</td>\n",
       "      <td>0.540314</td>\n",
       "      <td>0.998648</td>\n",
       "      <td>8.673749</td>\n",
       "      <td>9.446664</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>19.466600</td>\n",
       "      <td>66.394992</td>\n",
       "      <td>1147.727010</td>\n",
       "      <td>17.162111</td>\n",
       "      <td>31.782211</td>\n",
       "      <td>12.222305</td>\n",
       "      <td>30.086453</td>\n",
       "      <td>0.025311</td>\n",
       "      <td>0.039652</td>\n",
       "      <td>10.161050</td>\n",
       "      <td>37.105592</td>\n",
       "      <td>2.753834</td>\n",
       "      <td>6.657292</td>\n",
       "      <td>9.534678</td>\n",
       "      <td>10.863346</td>\n",
       "      <td>0.535551</td>\n",
       "      <td>0.960369</td>\n",
       "      <td>8.546729</td>\n",
       "      <td>9.195886</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>19.933324</td>\n",
       "      <td>70.041585</td>\n",
       "      <td>1169.344057</td>\n",
       "      <td>16.428720</td>\n",
       "      <td>30.528485</td>\n",
       "      <td>12.283126</td>\n",
       "      <td>28.884956</td>\n",
       "      <td>0.024271</td>\n",
       "      <td>0.038106</td>\n",
       "      <td>10.153565</td>\n",
       "      <td>34.780594</td>\n",
       "      <td>2.864473</td>\n",
       "      <td>6.858516</td>\n",
       "      <td>9.727629</td>\n",
       "      <td>11.145734</td>\n",
       "      <td>0.516939</td>\n",
       "      <td>0.907511</td>\n",
       "      <td>8.492262</td>\n",
       "      <td>8.789127</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>19.233046</td>\n",
       "      <td>69.639054</td>\n",
       "      <td>1337.408087</td>\n",
       "      <td>15.477064</td>\n",
       "      <td>29.390749</td>\n",
       "      <td>12.138697</td>\n",
       "      <td>27.789702</td>\n",
       "      <td>0.024602</td>\n",
       "      <td>0.038634</td>\n",
       "      <td>10.139024</td>\n",
       "      <td>35.131203</td>\n",
       "      <td>2.884626</td>\n",
       "      <td>6.763582</td>\n",
       "      <td>9.533451</td>\n",
       "      <td>10.934355</td>\n",
       "      <td>0.435794</td>\n",
       "      <td>0.757876</td>\n",
       "      <td>8.204255</td>\n",
       "      <td>7.300853</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>20.103561</td>\n",
       "      <td>72.670340</td>\n",
       "      <td>1275.405130</td>\n",
       "      <td>15.608499</td>\n",
       "      <td>29.210188</td>\n",
       "      <td>12.204346</td>\n",
       "      <td>27.628222</td>\n",
       "      <td>0.023854</td>\n",
       "      <td>0.037250</td>\n",
       "      <td>10.083997</td>\n",
       "      <td>33.155428</td>\n",
       "      <td>2.862618</td>\n",
       "      <td>6.804947</td>\n",
       "      <td>9.641477</td>\n",
       "      <td>11.092752</td>\n",
       "      <td>0.469467</td>\n",
       "      <td>0.815614</td>\n",
       "      <td>8.524592</td>\n",
       "      <td>7.897454</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>22.314491</td>\n",
       "      <td>70.340747</td>\n",
       "      <td>1261.715437</td>\n",
       "      <td>14.834703</td>\n",
       "      <td>28.658974</td>\n",
       "      <td>11.897411</td>\n",
       "      <td>27.090911</td>\n",
       "      <td>0.025053</td>\n",
       "      <td>0.038617</td>\n",
       "      <td>10.248940</td>\n",
       "      <td>34.768734</td>\n",
       "      <td>2.637093</td>\n",
       "      <td>6.144690</td>\n",
       "      <td>9.628312</td>\n",
       "      <td>10.025309</td>\n",
       "      <td>0.414545</td>\n",
       "      <td>0.714872</td>\n",
       "      <td>8.013740</td>\n",
       "      <td>6.906540</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>22.169587</td>\n",
       "      <td>70.677558</td>\n",
       "      <td>1245.550388</td>\n",
       "      <td>13.737424</td>\n",
       "      <td>26.904209</td>\n",
       "      <td>11.637492</td>\n",
       "      <td>25.424151</td>\n",
       "      <td>0.025454</td>\n",
       "      <td>0.038826</td>\n",
       "      <td>10.178995</td>\n",
       "      <td>34.924142</td>\n",
       "      <td>2.369678</td>\n",
       "      <td>5.563984</td>\n",
       "      <td>9.470747</td>\n",
       "      <td>9.016529</td>\n",
       "      <td>0.383115</td>\n",
       "      <td>0.633376</td>\n",
       "      <td>7.810303</td>\n",
       "      <td>6.200131</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>22.408907</td>\n",
       "      <td>69.111127</td>\n",
       "      <td>1254.856773</td>\n",
       "      <td>12.511448</td>\n",
       "      <td>25.112508</td>\n",
       "      <td>11.580442</td>\n",
       "      <td>23.720618</td>\n",
       "      <td>0.025446</td>\n",
       "      <td>0.038398</td>\n",
       "      <td>10.183623</td>\n",
       "      <td>34.306529</td>\n",
       "      <td>1.903269</td>\n",
       "      <td>4.525598</td>\n",
       "      <td>9.145084</td>\n",
       "      <td>7.302777</td>\n",
       "      <td>0.333942</td>\n",
       "      <td>0.552632</td>\n",
       "      <td>7.663888</td>\n",
       "      <td>5.378235</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>21.584514</td>\n",
       "      <td>66.764409</td>\n",
       "      <td>1254.000216</td>\n",
       "      <td>11.707954</td>\n",
       "      <td>23.369229</td>\n",
       "      <td>11.548021</td>\n",
       "      <td>22.021431</td>\n",
       "      <td>0.024874</td>\n",
       "      <td>0.036958</td>\n",
       "      <td>10.180049</td>\n",
       "      <td>32.439181</td>\n",
       "      <td>1.557477</td>\n",
       "      <td>3.486630</td>\n",
       "      <td>9.035642</td>\n",
       "      <td>5.471027</td>\n",
       "      <td>0.327791</td>\n",
       "      <td>0.539452</td>\n",
       "      <td>7.725060</td>\n",
       "      <td>5.275193</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>20.926893</td>\n",
       "      <td>72.136673</td>\n",
       "      <td>1118.550064</td>\n",
       "      <td>11.471874</td>\n",
       "      <td>23.435877</td>\n",
       "      <td>11.722376</td>\n",
       "      <td>22.009346</td>\n",
       "      <td>0.026415</td>\n",
       "      <td>0.038859</td>\n",
       "      <td>10.255226</td>\n",
       "      <td>34.417235</td>\n",
       "      <td>1.291491</td>\n",
       "      <td>2.851188</td>\n",
       "      <td>9.186238</td>\n",
       "      <td>4.314319</td>\n",
       "      <td>0.324075</td>\n",
       "      <td>0.518523</td>\n",
       "      <td>7.726309</td>\n",
       "      <td>5.103336</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>22.525813</td>\n",
       "      <td>69.427767</td>\n",
       "      <td>1130.680150</td>\n",
       "      <td>11.284517</td>\n",
       "      <td>22.780331</td>\n",
       "      <td>11.612028</td>\n",
       "      <td>21.291446</td>\n",
       "      <td>0.026542</td>\n",
       "      <td>0.038576</td>\n",
       "      <td>10.195616</td>\n",
       "      <td>34.481415</td>\n",
       "      <td>1.214494</td>\n",
       "      <td>2.853392</td>\n",
       "      <td>9.807507</td>\n",
       "      <td>4.222153</td>\n",
       "      <td>0.309695</td>\n",
       "      <td>0.492411</td>\n",
       "      <td>7.756639</td>\n",
       "      <td>4.820969</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>23.405294</td>\n",
       "      <td>68.089188</td>\n",
       "      <td>1007.523301</td>\n",
       "      <td>10.631325</td>\n",
       "      <td>21.932679</td>\n",
       "      <td>11.553640</td>\n",
       "      <td>20.470619</td>\n",
       "      <td>0.027155</td>\n",
       "      <td>0.039373</td>\n",
       "      <td>10.139936</td>\n",
       "      <td>35.418967</td>\n",
       "      <td>0.961180</td>\n",
       "      <td>2.323883</td>\n",
       "      <td>9.961152</td>\n",
       "      <td>3.358584</td>\n",
       "      <td>0.300858</td>\n",
       "      <td>0.472618</td>\n",
       "      <td>7.601660</td>\n",
       "      <td>4.633400</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>23.518340</td>\n",
       "      <td>79.160959</td>\n",
       "      <td>861.930246</td>\n",
       "      <td>10.529727</td>\n",
       "      <td>21.420586</td>\n",
       "      <td>11.513559</td>\n",
       "      <td>19.944366</td>\n",
       "      <td>0.026453</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>10.242868</td>\n",
       "      <td>35.746528</td>\n",
       "      <td>0.855038</td>\n",
       "      <td>2.103549</td>\n",
       "      <td>9.930588</td>\n",
       "      <td>2.975453</td>\n",
       "      <td>0.277700</td>\n",
       "      <td>0.444965</td>\n",
       "      <td>7.462307</td>\n",
       "      <td>4.313327</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>22.472194</td>\n",
       "      <td>78.354541</td>\n",
       "      <td>902.082280</td>\n",
       "      <td>10.075235</td>\n",
       "      <td>20.973395</td>\n",
       "      <td>11.444447</td>\n",
       "      <td>19.511570</td>\n",
       "      <td>0.026200</td>\n",
       "      <td>0.037801</td>\n",
       "      <td>10.135792</td>\n",
       "      <td>36.728147</td>\n",
       "      <td>0.867872</td>\n",
       "      <td>2.153601</td>\n",
       "      <td>10.018341</td>\n",
       "      <td>3.053464</td>\n",
       "      <td>0.275837</td>\n",
       "      <td>0.440319</td>\n",
       "      <td>7.577232</td>\n",
       "      <td>4.267424</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>23.000945</td>\n",
       "      <td>82.617345</td>\n",
       "      <td>481.457461</td>\n",
       "      <td>9.149463</td>\n",
       "      <td>20.431175</td>\n",
       "      <td>11.797466</td>\n",
       "      <td>18.937278</td>\n",
       "      <td>0.028291</td>\n",
       "      <td>0.038392</td>\n",
       "      <td>10.197738</td>\n",
       "      <td>36.238547</td>\n",
       "      <td>0.581297</td>\n",
       "      <td>1.524946</td>\n",
       "      <td>9.747720</td>\n",
       "      <td>2.014075</td>\n",
       "      <td>0.271240</td>\n",
       "      <td>0.427604</td>\n",
       "      <td>8.160387</td>\n",
       "      <td>4.118305</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>22.407321</td>\n",
       "      <td>68.621760</td>\n",
       "      <td>910.709695</td>\n",
       "      <td>9.509074</td>\n",
       "      <td>19.912208</td>\n",
       "      <td>11.557956</td>\n",
       "      <td>18.491297</td>\n",
       "      <td>0.026394</td>\n",
       "      <td>0.037829</td>\n",
       "      <td>10.160574</td>\n",
       "      <td>37.060570</td>\n",
       "      <td>0.744942</td>\n",
       "      <td>1.850818</td>\n",
       "      <td>9.881344</td>\n",
       "      <td>2.546751</td>\n",
       "      <td>0.281721</td>\n",
       "      <td>0.449090</td>\n",
       "      <td>7.680446</td>\n",
       "      <td>4.352160</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      State Code  County Code     Site Num   NO2 Mean  NO2 1st Max Value  \\\n",
       "Year                                                                       \n",
       "2000   20.674357    78.115565  1315.434078  18.236233          33.748884   \n",
       "2001   19.421797    71.967418  1301.564172  18.121734          33.503600   \n",
       "2002   19.466600    66.394992  1147.727010  17.162111          31.782211   \n",
       "2003   19.933324    70.041585  1169.344057  16.428720          30.528485   \n",
       "2005   19.233046    69.639054  1337.408087  15.477064          29.390749   \n",
       "2004   20.103561    72.670340  1275.405130  15.608499          29.210188   \n",
       "2006   22.314491    70.340747  1261.715437  14.834703          28.658974   \n",
       "2007   22.169587    70.677558  1245.550388  13.737424          26.904209   \n",
       "2008   22.408907    69.111127  1254.856773  12.511448          25.112508   \n",
       "2009   21.584514    66.764409  1254.000216  11.707954          23.369229   \n",
       "2010   20.926893    72.136673  1118.550064  11.471874          23.435877   \n",
       "2011   22.525813    69.427767  1130.680150  11.284517          22.780331   \n",
       "2012   23.405294    68.089188  1007.523301  10.631325          21.932679   \n",
       "2013   23.518340    79.160959   861.930246  10.529727          21.420586   \n",
       "2014   22.472194    78.354541   902.082280  10.075235          20.973395   \n",
       "2016   23.000945    82.617345   481.457461   9.149463          20.431175   \n",
       "2015   22.407321    68.621760   910.709695   9.509074          19.912208   \n",
       "\n",
       "      NO2 1st Max Hour    NO2 AQI   O3 Mean  O3 1st Max Value  \\\n",
       "Year                                                            \n",
       "2000         12.395383  31.766192  0.022997          0.037021   \n",
       "2001         12.305734  31.727132  0.024183          0.038670   \n",
       "2002         12.222305  30.086453  0.025311          0.039652   \n",
       "2003         12.283126  28.884956  0.024271          0.038106   \n",
       "2005         12.138697  27.789702  0.024602          0.038634   \n",
       "2004         12.204346  27.628222  0.023854          0.037250   \n",
       "2006         11.897411  27.090911  0.025053          0.038617   \n",
       "2007         11.637492  25.424151  0.025454          0.038826   \n",
       "2008         11.580442  23.720618  0.025446          0.038398   \n",
       "2009         11.548021  22.021431  0.024874          0.036958   \n",
       "2010         11.722376  22.009346  0.026415          0.038859   \n",
       "2011         11.612028  21.291446  0.026542          0.038576   \n",
       "2012         11.553640  20.470619  0.027155          0.039373   \n",
       "2013         11.513559  19.944366  0.026453          0.038092   \n",
       "2014         11.444447  19.511570  0.026200          0.037801   \n",
       "2016         11.797466  18.937278  0.028291          0.038392   \n",
       "2015         11.557956  18.491297  0.026394          0.037829   \n",
       "\n",
       "      O3 1st Max Hour     O3 AQI  SO2 Mean  SO2 1st Max Value  \\\n",
       "Year                                                            \n",
       "2000        10.086204  33.738631  3.647533           8.540830   \n",
       "2001        10.116562  35.564574  3.118774           7.723745   \n",
       "2002        10.161050  37.105592  2.753834           6.657292   \n",
       "2003        10.153565  34.780594  2.864473           6.858516   \n",
       "2005        10.139024  35.131203  2.884626           6.763582   \n",
       "2004        10.083997  33.155428  2.862618           6.804947   \n",
       "2006        10.248940  34.768734  2.637093           6.144690   \n",
       "2007        10.178995  34.924142  2.369678           5.563984   \n",
       "2008        10.183623  34.306529  1.903269           4.525598   \n",
       "2009        10.180049  32.439181  1.557477           3.486630   \n",
       "2010        10.255226  34.417235  1.291491           2.851188   \n",
       "2011        10.195616  34.481415  1.214494           2.853392   \n",
       "2012        10.139936  35.418967  0.961180           2.323883   \n",
       "2013        10.242868  35.746528  0.855038           2.103549   \n",
       "2014        10.135792  36.728147  0.867872           2.153601   \n",
       "2016        10.197738  36.238547  0.581297           1.524946   \n",
       "2015        10.160574  37.060570  0.744942           1.850818   \n",
       "\n",
       "      SO2 1st Max Hour    SO2 AQI   CO Mean  CO 1st Max Value  \\\n",
       "Year                                                            \n",
       "2000         10.241052  13.944365  0.602532          1.103742   \n",
       "2001          9.785536  12.580327  0.540314          0.998648   \n",
       "2002          9.534678  10.863346  0.535551          0.960369   \n",
       "2003          9.727629  11.145734  0.516939          0.907511   \n",
       "2005          9.533451  10.934355  0.435794          0.757876   \n",
       "2004          9.641477  11.092752  0.469467          0.815614   \n",
       "2006          9.628312  10.025309  0.414545          0.714872   \n",
       "2007          9.470747   9.016529  0.383115          0.633376   \n",
       "2008          9.145084   7.302777  0.333942          0.552632   \n",
       "2009          9.035642   5.471027  0.327791          0.539452   \n",
       "2010          9.186238   4.314319  0.324075          0.518523   \n",
       "2011          9.807507   4.222153  0.309695          0.492411   \n",
       "2012          9.961152   3.358584  0.300858          0.472618   \n",
       "2013          9.930588   2.975453  0.277700          0.444965   \n",
       "2014         10.018341   3.053464  0.275837          0.440319   \n",
       "2016          9.747720   2.014075  0.271240          0.427604   \n",
       "2015          9.881344   2.546751  0.281721          0.449090   \n",
       "\n",
       "      CO 1st Max Hour     CO AQI  count  \n",
       "Year                                     \n",
       "2000         8.983929  10.492938    1.0  \n",
       "2001         8.673749   9.446664    1.0  \n",
       "2002         8.546729   9.195886    1.0  \n",
       "2003         8.492262   8.789127    1.0  \n",
       "2005         8.204255   7.300853    1.0  \n",
       "2004         8.524592   7.897454    1.0  \n",
       "2006         8.013740   6.906540    1.0  \n",
       "2007         7.810303   6.200131    1.0  \n",
       "2008         7.663888   5.378235    1.0  \n",
       "2009         7.725060   5.275193    1.0  \n",
       "2010         7.726309   5.103336    1.0  \n",
       "2011         7.756639   4.820969    1.0  \n",
       "2012         7.601660   4.633400    1.0  \n",
       "2013         7.462307   4.313327    1.0  \n",
       "2014         7.577232   4.267424    1.0  \n",
       "2016         8.160387   4.118305    1.0  \n",
       "2015         7.680446   4.352160    1.0  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_years=pdf_dates.groupby(['Year']).mean()\n",
    "print('Years with highest NO2 AQI')\n",
    "pdf_years.sort_values('NO2 AQI',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Years with highest O3 AQI\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>...</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date Local</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2002-08-11</th>\n",
       "      <td>23.178082</td>\n",
       "      <td>72.575342</td>\n",
       "      <td>1083.109589</td>\n",
       "      <td>12.806800</td>\n",
       "      <td>28.273973</td>\n",
       "      <td>12.561644</td>\n",
       "      <td>26.849315</td>\n",
       "      <td>0.046691</td>\n",
       "      <td>0.072301</td>\n",
       "      <td>10.684932</td>\n",
       "      <td>...</td>\n",
       "      <td>3.831030</td>\n",
       "      <td>11.568493</td>\n",
       "      <td>11.273973</td>\n",
       "      <td>18.356164</td>\n",
       "      <td>0.388682</td>\n",
       "      <td>0.584247</td>\n",
       "      <td>5.684932</td>\n",
       "      <td>5.972603</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-08-10</th>\n",
       "      <td>23.432432</td>\n",
       "      <td>72.959459</td>\n",
       "      <td>1068.527027</td>\n",
       "      <td>16.922763</td>\n",
       "      <td>36.527027</td>\n",
       "      <td>8.486486</td>\n",
       "      <td>34.689189</td>\n",
       "      <td>0.045304</td>\n",
       "      <td>0.072865</td>\n",
       "      <td>10.472973</td>\n",
       "      <td>...</td>\n",
       "      <td>3.639636</td>\n",
       "      <td>10.905405</td>\n",
       "      <td>8.898649</td>\n",
       "      <td>18.121622</td>\n",
       "      <td>0.467794</td>\n",
       "      <td>0.760135</td>\n",
       "      <td>6.466216</td>\n",
       "      <td>7.594595</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-07-09</th>\n",
       "      <td>25.772727</td>\n",
       "      <td>71.647727</td>\n",
       "      <td>922.840909</td>\n",
       "      <td>16.986027</td>\n",
       "      <td>36.159091</td>\n",
       "      <td>8.113636</td>\n",
       "      <td>34.329545</td>\n",
       "      <td>0.041856</td>\n",
       "      <td>0.067136</td>\n",
       "      <td>10.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.141480</td>\n",
       "      <td>10.827273</td>\n",
       "      <td>9.312500</td>\n",
       "      <td>17.579545</td>\n",
       "      <td>0.420015</td>\n",
       "      <td>0.635227</td>\n",
       "      <td>5.920455</td>\n",
       "      <td>6.431818</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-07-08</th>\n",
       "      <td>24.585366</td>\n",
       "      <td>71.597561</td>\n",
       "      <td>977.402439</td>\n",
       "      <td>16.973582</td>\n",
       "      <td>34.743902</td>\n",
       "      <td>12.573171</td>\n",
       "      <td>32.963415</td>\n",
       "      <td>0.043886</td>\n",
       "      <td>0.071085</td>\n",
       "      <td>10.487805</td>\n",
       "      <td>...</td>\n",
       "      <td>4.075652</td>\n",
       "      <td>12.643902</td>\n",
       "      <td>12.018293</td>\n",
       "      <td>21.817073</td>\n",
       "      <td>0.478542</td>\n",
       "      <td>0.776829</td>\n",
       "      <td>6.987805</td>\n",
       "      <td>7.670732</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-06-25</th>\n",
       "      <td>23.684932</td>\n",
       "      <td>73.123288</td>\n",
       "      <td>1197.767123</td>\n",
       "      <td>18.085775</td>\n",
       "      <td>37.657534</td>\n",
       "      <td>11.547945</td>\n",
       "      <td>35.794521</td>\n",
       "      <td>0.042060</td>\n",
       "      <td>0.070397</td>\n",
       "      <td>9.863014</td>\n",
       "      <td>...</td>\n",
       "      <td>4.096932</td>\n",
       "      <td>9.851370</td>\n",
       "      <td>10.191781</td>\n",
       "      <td>16.342466</td>\n",
       "      <td>0.446780</td>\n",
       "      <td>0.769863</td>\n",
       "      <td>6.424658</td>\n",
       "      <td>7.356164</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-07</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.911111</td>\n",
       "      <td>1331.955556</td>\n",
       "      <td>26.265604</td>\n",
       "      <td>43.088889</td>\n",
       "      <td>11.933333</td>\n",
       "      <td>40.955556</td>\n",
       "      <td>0.007866</td>\n",
       "      <td>0.014511</td>\n",
       "      <td>9.933333</td>\n",
       "      <td>...</td>\n",
       "      <td>5.477141</td>\n",
       "      <td>10.295556</td>\n",
       "      <td>9.611111</td>\n",
       "      <td>17.177778</td>\n",
       "      <td>1.023135</td>\n",
       "      <td>1.893333</td>\n",
       "      <td>10.344444</td>\n",
       "      <td>18.911111</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-08</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.911111</td>\n",
       "      <td>1331.955556</td>\n",
       "      <td>24.443612</td>\n",
       "      <td>36.622222</td>\n",
       "      <td>14.466667</td>\n",
       "      <td>34.822222</td>\n",
       "      <td>0.007898</td>\n",
       "      <td>0.014267</td>\n",
       "      <td>10.533333</td>\n",
       "      <td>...</td>\n",
       "      <td>5.156703</td>\n",
       "      <td>9.294444</td>\n",
       "      <td>9.755556</td>\n",
       "      <td>15.088889</td>\n",
       "      <td>0.846386</td>\n",
       "      <td>1.592222</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>15.466667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-01-08</th>\n",
       "      <td>13.552083</td>\n",
       "      <td>60.208333</td>\n",
       "      <td>1106.739583</td>\n",
       "      <td>26.100342</td>\n",
       "      <td>45.302083</td>\n",
       "      <td>12.729167</td>\n",
       "      <td>42.125000</td>\n",
       "      <td>0.007941</td>\n",
       "      <td>0.014302</td>\n",
       "      <td>8.479167</td>\n",
       "      <td>...</td>\n",
       "      <td>3.511307</td>\n",
       "      <td>7.666667</td>\n",
       "      <td>11.489583</td>\n",
       "      <td>12.697917</td>\n",
       "      <td>0.986378</td>\n",
       "      <td>1.852083</td>\n",
       "      <td>9.739583</td>\n",
       "      <td>18.040816</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-20</th>\n",
       "      <td>14.466667</td>\n",
       "      <td>65.044444</td>\n",
       "      <td>1312.844444</td>\n",
       "      <td>24.942482</td>\n",
       "      <td>36.777778</td>\n",
       "      <td>13.733333</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.008382</td>\n",
       "      <td>0.014156</td>\n",
       "      <td>8.711111</td>\n",
       "      <td>...</td>\n",
       "      <td>4.023229</td>\n",
       "      <td>8.291111</td>\n",
       "      <td>11.533333</td>\n",
       "      <td>13.311111</td>\n",
       "      <td>0.808388</td>\n",
       "      <td>1.437778</td>\n",
       "      <td>9.188889</td>\n",
       "      <td>13.822222</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-06</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.911111</td>\n",
       "      <td>1331.955556</td>\n",
       "      <td>29.864725</td>\n",
       "      <td>46.244444</td>\n",
       "      <td>13.177778</td>\n",
       "      <td>43.977778</td>\n",
       "      <td>0.007147</td>\n",
       "      <td>0.012689</td>\n",
       "      <td>6.577778</td>\n",
       "      <td>...</td>\n",
       "      <td>4.889006</td>\n",
       "      <td>9.876667</td>\n",
       "      <td>12.755556</td>\n",
       "      <td>16.400000</td>\n",
       "      <td>1.221996</td>\n",
       "      <td>2.168889</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>20.488889</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5996 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            State Code  County Code     Site Num   NO2 Mean  \\\n",
       "Date Local                                                    \n",
       "2002-08-11   23.178082    72.575342  1083.109589  12.806800   \n",
       "2002-08-10   23.432432    72.959459  1068.527027  16.922763   \n",
       "2002-07-09   25.772727    71.647727   922.840909  16.986027   \n",
       "2002-07-08   24.585366    71.597561   977.402439  16.973582   \n",
       "2003-06-25   23.684932    73.123288  1197.767123  18.085775   \n",
       "...                ...          ...          ...        ...   \n",
       "2000-12-07   16.355556    64.911111  1331.955556  26.265604   \n",
       "2000-12-08   16.355556    64.911111  1331.955556  24.443612   \n",
       "2002-01-08   13.552083    60.208333  1106.739583  26.100342   \n",
       "2005-12-20   14.466667    65.044444  1312.844444  24.942482   \n",
       "2000-12-06   16.355556    64.911111  1331.955556  29.864725   \n",
       "\n",
       "            NO2 1st Max Value  NO2 1st Max Hour    NO2 AQI   O3 Mean  \\\n",
       "Date Local                                                             \n",
       "2002-08-11          28.273973         12.561644  26.849315  0.046691   \n",
       "2002-08-10          36.527027          8.486486  34.689189  0.045304   \n",
       "2002-07-09          36.159091          8.113636  34.329545  0.041856   \n",
       "2002-07-08          34.743902         12.573171  32.963415  0.043886   \n",
       "2003-06-25          37.657534         11.547945  35.794521  0.042060   \n",
       "...                       ...               ...        ...       ...   \n",
       "2000-12-07          43.088889         11.933333  40.955556  0.007866   \n",
       "2000-12-08          36.622222         14.466667  34.822222  0.007898   \n",
       "2002-01-08          45.302083         12.729167  42.125000  0.007941   \n",
       "2005-12-20          36.777778         13.733333  35.000000  0.008382   \n",
       "2000-12-06          46.244444         13.177778  43.977778  0.007147   \n",
       "\n",
       "            O3 1st Max Value  O3 1st Max Hour  ...  SO2 Mean  \\\n",
       "Date Local                                     ...             \n",
       "2002-08-11          0.072301        10.684932  ...  3.831030   \n",
       "2002-08-10          0.072865        10.472973  ...  3.639636   \n",
       "2002-07-09          0.067136        10.250000  ...  4.141480   \n",
       "2002-07-08          0.071085        10.487805  ...  4.075652   \n",
       "2003-06-25          0.070397         9.863014  ...  4.096932   \n",
       "...                      ...              ...  ...       ...   \n",
       "2000-12-07          0.014511         9.933333  ...  5.477141   \n",
       "2000-12-08          0.014267        10.533333  ...  5.156703   \n",
       "2002-01-08          0.014302         8.479167  ...  3.511307   \n",
       "2005-12-20          0.014156         8.711111  ...  4.023229   \n",
       "2000-12-06          0.012689         6.577778  ...  4.889006   \n",
       "\n",
       "            SO2 1st Max Value  SO2 1st Max Hour    SO2 AQI   CO Mean  \\\n",
       "Date Local                                                             \n",
       "2002-08-11          11.568493         11.273973  18.356164  0.388682   \n",
       "2002-08-10          10.905405          8.898649  18.121622  0.467794   \n",
       "2002-07-09          10.827273          9.312500  17.579545  0.420015   \n",
       "2002-07-08          12.643902         12.018293  21.817073  0.478542   \n",
       "2003-06-25           9.851370         10.191781  16.342466  0.446780   \n",
       "...                       ...               ...        ...       ...   \n",
       "2000-12-07          10.295556          9.611111  17.177778  1.023135   \n",
       "2000-12-08           9.294444          9.755556  15.088889  0.846386   \n",
       "2002-01-08           7.666667         11.489583  12.697917  0.986378   \n",
       "2005-12-20           8.291111         11.533333  13.311111  0.808388   \n",
       "2000-12-06           9.876667         12.755556  16.400000  1.221996   \n",
       "\n",
       "            CO 1st Max Value  CO 1st Max Hour     CO AQI  count  Year  \n",
       "Date Local                                                             \n",
       "2002-08-11          0.584247         5.684932   5.972603    1.0  2002  \n",
       "2002-08-10          0.760135         6.466216   7.594595    1.0  2002  \n",
       "2002-07-09          0.635227         5.920455   6.431818    1.0  2002  \n",
       "2002-07-08          0.776829         6.987805   7.670732    1.0  2002  \n",
       "2003-06-25          0.769863         6.424658   7.356164    1.0  2003  \n",
       "...                      ...              ...        ...    ...   ...  \n",
       "2000-12-07          1.893333        10.344444  18.911111    1.0  2000  \n",
       "2000-12-08          1.592222        10.500000  15.466667    1.0  2000  \n",
       "2002-01-08          1.852083         9.739583  18.040816    1.0  2002  \n",
       "2005-12-20          1.437778         9.188889  13.822222    1.0  2005  \n",
       "2000-12-06          2.168889        12.600000  20.488889    1.0  2000  \n",
       "\n",
       "[5996 rows x 21 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Years with highest O3 AQI')\n",
    "pdf_dates.sort_values('O3 AQI',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Years with highest CO AQI\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>...</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date Local</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-12-21</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.288889</td>\n",
       "      <td>1332.200000</td>\n",
       "      <td>32.432851</td>\n",
       "      <td>51.688889</td>\n",
       "      <td>11.133333</td>\n",
       "      <td>47.222222</td>\n",
       "      <td>0.008655</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>9.333333</td>\n",
       "      <td>...</td>\n",
       "      <td>5.846804</td>\n",
       "      <td>10.626667</td>\n",
       "      <td>10.288889</td>\n",
       "      <td>16.755556</td>\n",
       "      <td>1.362522</td>\n",
       "      <td>2.527778</td>\n",
       "      <td>9.377778</td>\n",
       "      <td>24.933333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-05</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.911111</td>\n",
       "      <td>1331.955556</td>\n",
       "      <td>30.753891</td>\n",
       "      <td>50.488889</td>\n",
       "      <td>13.444444</td>\n",
       "      <td>48.577778</td>\n",
       "      <td>0.010086</td>\n",
       "      <td>0.017978</td>\n",
       "      <td>9.977778</td>\n",
       "      <td>...</td>\n",
       "      <td>6.203169</td>\n",
       "      <td>14.710000</td>\n",
       "      <td>12.066667</td>\n",
       "      <td>23.488889</td>\n",
       "      <td>1.180564</td>\n",
       "      <td>2.445556</td>\n",
       "      <td>10.288889</td>\n",
       "      <td>24.866667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-20</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.288889</td>\n",
       "      <td>1332.200000</td>\n",
       "      <td>29.354747</td>\n",
       "      <td>43.955556</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>42.044444</td>\n",
       "      <td>0.008948</td>\n",
       "      <td>0.016556</td>\n",
       "      <td>8.177778</td>\n",
       "      <td>...</td>\n",
       "      <td>6.323879</td>\n",
       "      <td>12.157778</td>\n",
       "      <td>10.466667</td>\n",
       "      <td>18.755556</td>\n",
       "      <td>1.258519</td>\n",
       "      <td>2.460000</td>\n",
       "      <td>9.444444</td>\n",
       "      <td>24.577778</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-04</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.911111</td>\n",
       "      <td>1331.955556</td>\n",
       "      <td>31.073677</td>\n",
       "      <td>48.622222</td>\n",
       "      <td>15.488889</td>\n",
       "      <td>46.800000</td>\n",
       "      <td>0.008469</td>\n",
       "      <td>0.015511</td>\n",
       "      <td>9.311111</td>\n",
       "      <td>...</td>\n",
       "      <td>5.592650</td>\n",
       "      <td>11.027778</td>\n",
       "      <td>11.766667</td>\n",
       "      <td>17.466667</td>\n",
       "      <td>1.264894</td>\n",
       "      <td>2.554444</td>\n",
       "      <td>11.544444</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-05</th>\n",
       "      <td>14.298851</td>\n",
       "      <td>67.988506</td>\n",
       "      <td>1446.287356</td>\n",
       "      <td>35.647809</td>\n",
       "      <td>52.390805</td>\n",
       "      <td>13.528736</td>\n",
       "      <td>50.287356</td>\n",
       "      <td>0.007980</td>\n",
       "      <td>0.014920</td>\n",
       "      <td>7.724138</td>\n",
       "      <td>...</td>\n",
       "      <td>5.790839</td>\n",
       "      <td>12.171264</td>\n",
       "      <td>12.252874</td>\n",
       "      <td>19.413793</td>\n",
       "      <td>1.355940</td>\n",
       "      <td>2.506897</td>\n",
       "      <td>11.333333</td>\n",
       "      <td>23.431818</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-10</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>5.420833</td>\n",
       "      <td>11.728571</td>\n",
       "      <td>7.285714</td>\n",
       "      <td>10.857143</td>\n",
       "      <td>0.032095</td>\n",
       "      <td>0.046429</td>\n",
       "      <td>10.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.242828</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>8.928571</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.213757</td>\n",
       "      <td>0.257857</td>\n",
       "      <td>5.928571</td>\n",
       "      <td>2.285714</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-04</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.629475</td>\n",
       "      <td>11.042857</td>\n",
       "      <td>6.857143</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>0.034113</td>\n",
       "      <td>0.045143</td>\n",
       "      <td>11.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021089</td>\n",
       "      <td>0.121429</td>\n",
       "      <td>7.857143</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195060</td>\n",
       "      <td>0.245857</td>\n",
       "      <td>6.785714</td>\n",
       "      <td>2.285714</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-27</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.103193</td>\n",
       "      <td>8.600000</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>7.857143</td>\n",
       "      <td>0.033988</td>\n",
       "      <td>0.040857</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.108749</td>\n",
       "      <td>0.278571</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.193961</td>\n",
       "      <td>0.235357</td>\n",
       "      <td>8.071429</td>\n",
       "      <td>2.142857</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-01</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.906277</td>\n",
       "      <td>10.928571</td>\n",
       "      <td>11.428571</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>0.026857</td>\n",
       "      <td>0.032143</td>\n",
       "      <td>3.571429</td>\n",
       "      <td>...</td>\n",
       "      <td>0.080905</td>\n",
       "      <td>0.442857</td>\n",
       "      <td>5.357143</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.205522</td>\n",
       "      <td>0.235929</td>\n",
       "      <td>7.142857</td>\n",
       "      <td>2.142857</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-15</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>3.202273</td>\n",
       "      <td>10.628571</td>\n",
       "      <td>18.428571</td>\n",
       "      <td>9.714286</td>\n",
       "      <td>0.033048</td>\n",
       "      <td>0.043571</td>\n",
       "      <td>8.714286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.229363</td>\n",
       "      <td>1.357143</td>\n",
       "      <td>10.142857</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>0.161467</td>\n",
       "      <td>0.238286</td>\n",
       "      <td>11.285714</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5996 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            State Code  County Code     Site Num   NO2 Mean  \\\n",
       "Date Local                                                    \n",
       "2000-12-21   16.355556    64.288889  1332.200000  32.432851   \n",
       "2000-12-05   16.355556    64.911111  1331.955556  30.753891   \n",
       "2000-12-20   16.355556    64.288889  1332.200000  29.354747   \n",
       "2000-12-04   16.355556    64.911111  1331.955556  31.073677   \n",
       "2001-01-05   14.298851    67.988506  1446.287356  35.647809   \n",
       "...                ...          ...          ...        ...   \n",
       "2016-05-10   19.571429   118.428571    26.142857   5.420833   \n",
       "2016-05-04   19.571429   118.428571    26.142857   4.629475   \n",
       "2016-05-27   19.571429   118.428571    26.142857   4.103193   \n",
       "2016-05-01   19.571429   118.428571    26.142857   4.906277   \n",
       "2016-05-15   19.571429   118.428571    26.142857   3.202273   \n",
       "\n",
       "            NO2 1st Max Value  NO2 1st Max Hour    NO2 AQI   O3 Mean  \\\n",
       "Date Local                                                             \n",
       "2000-12-21          51.688889         11.133333  47.222222  0.008655   \n",
       "2000-12-05          50.488889         13.444444  48.577778  0.010086   \n",
       "2000-12-20          43.955556         15.000000  42.044444  0.008948   \n",
       "2000-12-04          48.622222         15.488889  46.800000  0.008469   \n",
       "2001-01-05          52.390805         13.528736  50.287356  0.007980   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-10          11.728571          7.285714  10.857143  0.032095   \n",
       "2016-05-04          11.042857          6.857143  10.285714  0.034113   \n",
       "2016-05-27           8.600000         10.714286   7.857143  0.033988   \n",
       "2016-05-01          10.928571         11.428571  10.285714  0.026857   \n",
       "2016-05-15          10.628571         18.428571   9.714286  0.033048   \n",
       "\n",
       "            O3 1st Max Value  O3 1st Max Hour  ...  SO2 Mean  \\\n",
       "Date Local                                     ...             \n",
       "2000-12-21          0.015600         9.333333  ...  5.846804   \n",
       "2000-12-05          0.017978         9.977778  ...  6.203169   \n",
       "2000-12-20          0.016556         8.177778  ...  6.323879   \n",
       "2000-12-04          0.015511         9.311111  ...  5.592650   \n",
       "2001-01-05          0.014920         7.724138  ...  5.790839   \n",
       "...                      ...              ...  ...       ...   \n",
       "2016-05-10          0.046429        10.428571  ...  0.242828   \n",
       "2016-05-04          0.045143        11.428571  ...  0.021089   \n",
       "2016-05-27          0.040857        10.714286  ...  0.108749   \n",
       "2016-05-01          0.032143         3.571429  ...  0.080905   \n",
       "2016-05-15          0.043571         8.714286  ...  0.229363   \n",
       "\n",
       "            SO2 1st Max Value  SO2 1st Max Hour    SO2 AQI   CO Mean  \\\n",
       "Date Local                                                             \n",
       "2000-12-21          10.626667         10.288889  16.755556  1.362522   \n",
       "2000-12-05          14.710000         12.066667  23.488889  1.180564   \n",
       "2000-12-20          12.157778         10.466667  18.755556  1.258519   \n",
       "2000-12-04          11.027778         11.766667  17.466667  1.264894   \n",
       "2001-01-05          12.171264         12.252874  19.413793  1.355940   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-10           0.900000          8.928571   1.000000  0.213757   \n",
       "2016-05-04           0.121429          7.857143   0.000000  0.195060   \n",
       "2016-05-27           0.278571          2.428571   0.142857  0.193961   \n",
       "2016-05-01           0.442857          5.357143   0.571429  0.205522   \n",
       "2016-05-15           1.357143         10.142857   2.428571  0.161467   \n",
       "\n",
       "            CO 1st Max Value  CO 1st Max Hour     CO AQI  count  Year  \n",
       "Date Local                                                             \n",
       "2000-12-21          2.527778         9.377778  24.933333    1.0  2000  \n",
       "2000-12-05          2.445556        10.288889  24.866667    1.0  2000  \n",
       "2000-12-20          2.460000         9.444444  24.577778    1.0  2000  \n",
       "2000-12-04          2.554444        11.544444  24.000000    1.0  2000  \n",
       "2001-01-05          2.506897        11.333333  23.431818    1.0  2001  \n",
       "...                      ...              ...        ...    ...   ...  \n",
       "2016-05-10          0.257857         5.928571   2.285714    1.0  2016  \n",
       "2016-05-04          0.245857         6.785714   2.285714    1.0  2016  \n",
       "2016-05-27          0.235357         8.071429   2.142857    1.0  2016  \n",
       "2016-05-01          0.235929         7.142857   2.142857    1.0  2016  \n",
       "2016-05-15          0.238286        11.285714   2.000000    1.0  2016  \n",
       "\n",
       "[5996 rows x 21 columns]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Years with highest CO AQI')\n",
    "pdf_dates.sort_values('CO AQI',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Years with highest SO2 AQI\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>...</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date Local</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-09-18</th>\n",
       "      <td>24.233766</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>1198.987013</td>\n",
       "      <td>23.157168</td>\n",
       "      <td>41.662338</td>\n",
       "      <td>13.402597</td>\n",
       "      <td>39.558442</td>\n",
       "      <td>0.024735</td>\n",
       "      <td>0.045234</td>\n",
       "      <td>10.519481</td>\n",
       "      <td>...</td>\n",
       "      <td>6.161033</td>\n",
       "      <td>16.224675</td>\n",
       "      <td>11.545455</td>\n",
       "      <td>25.415584</td>\n",
       "      <td>0.562231</td>\n",
       "      <td>1.092208</td>\n",
       "      <td>7.181818</td>\n",
       "      <td>10.038961</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-10-20</th>\n",
       "      <td>22.630137</td>\n",
       "      <td>84.753425</td>\n",
       "      <td>1235.109589</td>\n",
       "      <td>25.403491</td>\n",
       "      <td>46.136986</td>\n",
       "      <td>13.082192</td>\n",
       "      <td>43.589041</td>\n",
       "      <td>0.019758</td>\n",
       "      <td>0.036452</td>\n",
       "      <td>10.520548</td>\n",
       "      <td>...</td>\n",
       "      <td>5.916364</td>\n",
       "      <td>14.847260</td>\n",
       "      <td>11.684932</td>\n",
       "      <td>24.178082</td>\n",
       "      <td>0.768217</td>\n",
       "      <td>1.443836</td>\n",
       "      <td>9.595890</td>\n",
       "      <td>13.095890</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-06-10</th>\n",
       "      <td>23.975000</td>\n",
       "      <td>48.456250</td>\n",
       "      <td>590.818750</td>\n",
       "      <td>16.920818</td>\n",
       "      <td>34.393750</td>\n",
       "      <td>14.925000</td>\n",
       "      <td>32.600000</td>\n",
       "      <td>0.029771</td>\n",
       "      <td>0.042981</td>\n",
       "      <td>15.093750</td>\n",
       "      <td>...</td>\n",
       "      <td>4.090321</td>\n",
       "      <td>12.211563</td>\n",
       "      <td>8.271875</td>\n",
       "      <td>23.618750</td>\n",
       "      <td>0.557207</td>\n",
       "      <td>1.029062</td>\n",
       "      <td>6.475000</td>\n",
       "      <td>18.481250</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-10-13</th>\n",
       "      <td>22.946667</td>\n",
       "      <td>85.133333</td>\n",
       "      <td>1216.066667</td>\n",
       "      <td>25.612101</td>\n",
       "      <td>44.146667</td>\n",
       "      <td>13.333333</td>\n",
       "      <td>41.880000</td>\n",
       "      <td>0.019580</td>\n",
       "      <td>0.037507</td>\n",
       "      <td>10.320000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.952245</td>\n",
       "      <td>15.214000</td>\n",
       "      <td>10.660000</td>\n",
       "      <td>23.506667</td>\n",
       "      <td>0.751114</td>\n",
       "      <td>1.524667</td>\n",
       "      <td>9.840000</td>\n",
       "      <td>13.600000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-12-05</th>\n",
       "      <td>16.355556</td>\n",
       "      <td>64.911111</td>\n",
       "      <td>1331.955556</td>\n",
       "      <td>30.753891</td>\n",
       "      <td>50.488889</td>\n",
       "      <td>13.444444</td>\n",
       "      <td>48.577778</td>\n",
       "      <td>0.010086</td>\n",
       "      <td>0.017978</td>\n",
       "      <td>9.977778</td>\n",
       "      <td>...</td>\n",
       "      <td>6.203169</td>\n",
       "      <td>14.710000</td>\n",
       "      <td>12.066667</td>\n",
       "      <td>23.488889</td>\n",
       "      <td>1.180564</td>\n",
       "      <td>2.445556</td>\n",
       "      <td>10.288889</td>\n",
       "      <td>24.866667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-21</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>6.476353</td>\n",
       "      <td>20.300000</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>18.714286</td>\n",
       "      <td>0.039941</td>\n",
       "      <td>0.054857</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.059218</td>\n",
       "      <td>0.228571</td>\n",
       "      <td>10.571429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.238401</td>\n",
       "      <td>0.397857</td>\n",
       "      <td>10.642857</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-04</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.629475</td>\n",
       "      <td>11.042857</td>\n",
       "      <td>6.857143</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>0.034113</td>\n",
       "      <td>0.045143</td>\n",
       "      <td>11.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021089</td>\n",
       "      <td>0.121429</td>\n",
       "      <td>7.857143</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195060</td>\n",
       "      <td>0.245857</td>\n",
       "      <td>6.785714</td>\n",
       "      <td>2.285714</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-14</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>3.588366</td>\n",
       "      <td>10.871429</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>10.142857</td>\n",
       "      <td>0.034571</td>\n",
       "      <td>0.045571</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051847</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>4.571429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.181231</td>\n",
       "      <td>0.264286</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2.571429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-05</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>6.528301</td>\n",
       "      <td>21.857143</td>\n",
       "      <td>13.571429</td>\n",
       "      <td>20.428571</td>\n",
       "      <td>0.030691</td>\n",
       "      <td>0.043000</td>\n",
       "      <td>11.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.060068</td>\n",
       "      <td>0.207143</td>\n",
       "      <td>14.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.213711</td>\n",
       "      <td>0.335714</td>\n",
       "      <td>12.714286</td>\n",
       "      <td>2.857143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-02</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>7.167441</td>\n",
       "      <td>18.714286</td>\n",
       "      <td>17.714286</td>\n",
       "      <td>17.285714</td>\n",
       "      <td>0.026655</td>\n",
       "      <td>0.036429</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.076123</td>\n",
       "      <td>0.271429</td>\n",
       "      <td>13.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.227543</td>\n",
       "      <td>0.369214</td>\n",
       "      <td>13.928571</td>\n",
       "      <td>3.428571</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5996 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            State Code  County Code     Site Num   NO2 Mean  \\\n",
       "Date Local                                                    \n",
       "2000-09-18   24.233766    87.000000  1198.987013  23.157168   \n",
       "2000-10-20   22.630137    84.753425  1235.109589  25.403491   \n",
       "2002-06-10   23.975000    48.456250   590.818750  16.920818   \n",
       "2000-10-13   22.946667    85.133333  1216.066667  25.612101   \n",
       "2000-12-05   16.355556    64.911111  1331.955556  30.753891   \n",
       "...                ...          ...          ...        ...   \n",
       "2016-05-21   19.571429   118.428571    26.142857   6.476353   \n",
       "2016-05-04   19.571429   118.428571    26.142857   4.629475   \n",
       "2016-05-14   19.571429   118.428571    26.142857   3.588366   \n",
       "2016-05-05   19.571429   118.428571    26.142857   6.528301   \n",
       "2016-05-02   19.571429   118.428571    26.142857   7.167441   \n",
       "\n",
       "            NO2 1st Max Value  NO2 1st Max Hour    NO2 AQI   O3 Mean  \\\n",
       "Date Local                                                             \n",
       "2000-09-18          41.662338         13.402597  39.558442  0.024735   \n",
       "2000-10-20          46.136986         13.082192  43.589041  0.019758   \n",
       "2002-06-10          34.393750         14.925000  32.600000  0.029771   \n",
       "2000-10-13          44.146667         13.333333  41.880000  0.019580   \n",
       "2000-12-05          50.488889         13.444444  48.577778  0.010086   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-21          20.300000         10.285714  18.714286  0.039941   \n",
       "2016-05-04          11.042857          6.857143  10.285714  0.034113   \n",
       "2016-05-14          10.871429         13.000000  10.142857  0.034571   \n",
       "2016-05-05          21.857143         13.571429  20.428571  0.030691   \n",
       "2016-05-02          18.714286         17.714286  17.285714  0.026655   \n",
       "\n",
       "            O3 1st Max Value  O3 1st Max Hour  ...  SO2 Mean  \\\n",
       "Date Local                                     ...             \n",
       "2000-09-18          0.045234        10.519481  ...  6.161033   \n",
       "2000-10-20          0.036452        10.520548  ...  5.916364   \n",
       "2002-06-10          0.042981        15.093750  ...  4.090321   \n",
       "2000-10-13          0.037507        10.320000  ...  6.952245   \n",
       "2000-12-05          0.017978         9.977778  ...  6.203169   \n",
       "...                      ...              ...  ...       ...   \n",
       "2016-05-21          0.054857        10.000000  ...  0.059218   \n",
       "2016-05-04          0.045143        11.428571  ...  0.021089   \n",
       "2016-05-14          0.045571        10.285714  ...  0.051847   \n",
       "2016-05-05          0.043000        11.428571  ...  0.060068   \n",
       "2016-05-02          0.036429         8.000000  ...  0.076123   \n",
       "\n",
       "            SO2 1st Max Value  SO2 1st Max Hour    SO2 AQI   CO Mean  \\\n",
       "Date Local                                                             \n",
       "2000-09-18          16.224675         11.545455  25.415584  0.562231   \n",
       "2000-10-20          14.847260         11.684932  24.178082  0.768217   \n",
       "2002-06-10          12.211563          8.271875  23.618750  0.557207   \n",
       "2000-10-13          15.214000         10.660000  23.506667  0.751114   \n",
       "2000-12-05          14.710000         12.066667  23.488889  1.180564   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-21           0.228571         10.571429   0.000000  0.238401   \n",
       "2016-05-04           0.121429          7.857143   0.000000  0.195060   \n",
       "2016-05-14           0.150000          4.571429   0.000000  0.181231   \n",
       "2016-05-05           0.207143         14.142857   0.000000  0.213711   \n",
       "2016-05-02           0.271429         13.500000   0.000000  0.227543   \n",
       "\n",
       "            CO 1st Max Value  CO 1st Max Hour     CO AQI  count  Year  \n",
       "Date Local                                                             \n",
       "2000-09-18          1.092208         7.181818  10.038961    1.0  2000  \n",
       "2000-10-20          1.443836         9.595890  13.095890    1.0  2000  \n",
       "2002-06-10          1.029062         6.475000  18.481250    1.0  2002  \n",
       "2000-10-13          1.524667         9.840000  13.600000    1.0  2000  \n",
       "2000-12-05          2.445556        10.288889  24.866667    1.0  2000  \n",
       "...                      ...              ...        ...    ...   ...  \n",
       "2016-05-21          0.397857        10.642857   4.000000    1.0  2016  \n",
       "2016-05-04          0.245857         6.785714   2.285714    1.0  2016  \n",
       "2016-05-14          0.264286        10.000000   2.571429    1.0  2016  \n",
       "2016-05-05          0.335714        12.714286   2.857143    1.0  2016  \n",
       "2016-05-02          0.369214        13.928571   3.428571    1.0  2016  \n",
       "\n",
       "[5996 rows x 21 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Years with highest SO2 AQI')\n",
    "pdf_dates.sort_values('SO2 AQI',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State Code                                           4\n",
       "County Code                                         13\n",
       "Site Num                                          3003\n",
       "Address              2857 N MILLER RD-S SCOTTSDALE STN\n",
       "State                                          Arizona\n",
       "County                                        Maricopa\n",
       "City                                        Scottsdale\n",
       "Date Local                                  2000-01-10\n",
       "NO2 Units                            Parts per billion\n",
       "NO2 Mean                                       135.188\n",
       "NO2 1st Max Value                                  267\n",
       "NO2 1st Max Hour                                    20\n",
       "NO2 AQI                                            132\n",
       "O3 Units                             Parts per million\n",
       "O3 Mean                                       0.017958\n",
       "O3 1st Max Value                                  0.04\n",
       "O3 1st Max Hour                                     10\n",
       "O3 AQI                                              34\n",
       "SO2 Units                            Parts per billion\n",
       "SO2 Mean                                       1.86364\n",
       "SO2 1st Max Value                                    5\n",
       "SO2 1st Max Hour                                    19\n",
       "SO2 AQI                                              7\n",
       "CO Units                             Parts per million\n",
       "CO Mean                                        1.93333\n",
       "CO 1st Max Value                                   4.9\n",
       "CO 1st Max Hour                                     19\n",
       "CO AQI                                             NaN\n",
       "count                                                1\n",
       "Name: 1432, dtype: object"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Highest record of NO2 AQI in the US from 2000-2016\n",
    "pdf['NO2 AQI'].idxmax()\n",
    "pdf.iloc[1432]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State Code                          17\n",
       "County Code                        163\n",
       "Site Num                            10\n",
       "Address                   13TH & TUDOR\n",
       "State                         Illinois\n",
       "County                     Saint Clair\n",
       "City                  East Saint Louis\n",
       "Date Local                  2002-02-14\n",
       "NO2 Units            Parts per billion\n",
       "NO2 Mean                       16.2273\n",
       "NO2 1st Max Value                   28\n",
       "NO2 1st Max Hour                     0\n",
       "NO2 AQI                             26\n",
       "O3 Units             Parts per million\n",
       "O3 Mean                        0.02175\n",
       "O3 1st Max Value                 0.031\n",
       "O3 1st Max Hour                     10\n",
       "O3 AQI                              26\n",
       "SO2 Units            Parts per billion\n",
       "SO2 Mean                       32.7917\n",
       "SO2 1st Max Value                  327\n",
       "SO2 1st Max Hour                     4\n",
       "SO2 AQI                            200\n",
       "CO Units             Parts per million\n",
       "CO Mean                       0.579167\n",
       "CO 1st Max Value                   2.1\n",
       "CO 1st Max Hour                      6\n",
       "CO AQI                             NaN\n",
       "count                                1\n",
       "Name: 229463, dtype: object"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf['SO2 AQI'].idxmax()\n",
    "pdf.iloc[229463]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State Code                                             6\n",
       "County Code                                           25\n",
       "Site Num                                               5\n",
       "Address              1029 ETHEL ST, CALEXICO HIGH SCHOOL\n",
       "State                                         California\n",
       "County                                          Imperial\n",
       "City                                            Calexico\n",
       "Date Local                                    2000-12-20\n",
       "NO2 Units                              Parts per billion\n",
       "NO2 Mean                                         49.7391\n",
       "NO2 1st Max Value                                     92\n",
       "NO2 1st Max Hour                                       0\n",
       "NO2 AQI                                               91\n",
       "O3 Units                               Parts per million\n",
       "O3 Mean                                         0.013417\n",
       "O3 1st Max Value                                   0.029\n",
       "O3 1st Max Hour                                        8\n",
       "O3 AQI                                                25\n",
       "SO2 Units                              Parts per billion\n",
       "SO2 Mean                                          9.6087\n",
       "SO2 1st Max Value                                     25\n",
       "SO2 1st Max Hour                                       1\n",
       "SO2 AQI                                               36\n",
       "CO Units                               Parts per million\n",
       "CO Mean                                          7.50833\n",
       "CO 1st Max Value                                    15.5\n",
       "CO 1st Max Hour                                        6\n",
       "CO AQI                                               201\n",
       "count                                                  1\n",
       "Name: 10505, dtype: object"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf['CO AQI'].idxmax()\n",
    "pdf.iloc[10505]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State Code                           6\n",
       "County Code                         95\n",
       "Site Num                             4\n",
       "Address               304 TUOLUMNE ST.\n",
       "State                       California\n",
       "County                          Solano\n",
       "City                           Vallejo\n",
       "Date Local                  2013-02-21\n",
       "NO2 Units            Parts per billion\n",
       "NO2 Mean                         15.78\n",
       "NO2 1st Max Value                 32.3\n",
       "NO2 1st Max Hour                    22\n",
       "NO2 AQI                             30\n",
       "O3 Units             Parts per million\n",
       "O3 Mean                       0.012417\n",
       "O3 1st Max Value                  0.03\n",
       "O3 1st Max Hour                     13\n",
       "O3 AQI                              28\n",
       "SO2 Units            Parts per billion\n",
       "SO2 Mean                           0.6\n",
       "SO2 1st Max Value                  0.8\n",
       "SO2 1st Max Hour                    20\n",
       "SO2 AQI                            NaN\n",
       "CO Units             Parts per million\n",
       "CO Mean                       0.513333\n",
       "CO 1st Max Value                   1.1\n",
       "CO 1st Max Hour                      6\n",
       "CO AQI                             NaN\n",
       "count                                1\n",
       "Name: 1374294, dtype: object"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf['O3 AQI'].idxmax()\n",
    "pdf.iloc[1364788]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>...</th>\n",
       "      <th>SO2 Mean</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date Local</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>16.102564</td>\n",
       "      <td>63.820513</td>\n",
       "      <td>1446.230769</td>\n",
       "      <td>18.508666</td>\n",
       "      <td>33.923077</td>\n",
       "      <td>10.769231</td>\n",
       "      <td>32.307692</td>\n",
       "      <td>0.018138</td>\n",
       "      <td>0.028231</td>\n",
       "      <td>12.025641</td>\n",
       "      <td>...</td>\n",
       "      <td>4.317923</td>\n",
       "      <td>8.302564</td>\n",
       "      <td>9.461538</td>\n",
       "      <td>13.384615</td>\n",
       "      <td>0.792037</td>\n",
       "      <td>1.675641</td>\n",
       "      <td>8.730769</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-02</th>\n",
       "      <td>16.368421</td>\n",
       "      <td>63.736842</td>\n",
       "      <td>1484.236842</td>\n",
       "      <td>14.692258</td>\n",
       "      <td>28.736842</td>\n",
       "      <td>12.052632</td>\n",
       "      <td>27.184211</td>\n",
       "      <td>0.020553</td>\n",
       "      <td>0.031737</td>\n",
       "      <td>9.263158</td>\n",
       "      <td>...</td>\n",
       "      <td>3.419270</td>\n",
       "      <td>7.231579</td>\n",
       "      <td>8.578947</td>\n",
       "      <td>11.315789</td>\n",
       "      <td>0.578626</td>\n",
       "      <td>1.144737</td>\n",
       "      <td>8.855263</td>\n",
       "      <td>11.342105</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-03</th>\n",
       "      <td>16.285714</td>\n",
       "      <td>65.233766</td>\n",
       "      <td>1464.870130</td>\n",
       "      <td>23.754976</td>\n",
       "      <td>40.636364</td>\n",
       "      <td>14.753247</td>\n",
       "      <td>37.233766</td>\n",
       "      <td>0.012814</td>\n",
       "      <td>0.022455</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.280580</td>\n",
       "      <td>6.970130</td>\n",
       "      <td>11.668831</td>\n",
       "      <td>11.454545</td>\n",
       "      <td>0.931910</td>\n",
       "      <td>1.857143</td>\n",
       "      <td>12.753247</td>\n",
       "      <td>16.131579</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-04</th>\n",
       "      <td>15.850000</td>\n",
       "      <td>64.300000</td>\n",
       "      <td>1460.350000</td>\n",
       "      <td>24.160910</td>\n",
       "      <td>41.700000</td>\n",
       "      <td>12.975000</td>\n",
       "      <td>38.650000</td>\n",
       "      <td>0.013022</td>\n",
       "      <td>0.021475</td>\n",
       "      <td>9.950000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.760379</td>\n",
       "      <td>6.296250</td>\n",
       "      <td>13.237500</td>\n",
       "      <td>10.125000</td>\n",
       "      <td>0.992513</td>\n",
       "      <td>1.868750</td>\n",
       "      <td>9.600000</td>\n",
       "      <td>18.050000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-05</th>\n",
       "      <td>15.850000</td>\n",
       "      <td>64.300000</td>\n",
       "      <td>1460.350000</td>\n",
       "      <td>23.804671</td>\n",
       "      <td>42.450000</td>\n",
       "      <td>13.650000</td>\n",
       "      <td>38.700000</td>\n",
       "      <td>0.015492</td>\n",
       "      <td>0.025675</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.002096</td>\n",
       "      <td>6.908750</td>\n",
       "      <td>11.062500</td>\n",
       "      <td>11.375000</td>\n",
       "      <td>0.999075</td>\n",
       "      <td>1.960000</td>\n",
       "      <td>10.412500</td>\n",
       "      <td>17.775000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-27</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.103193</td>\n",
       "      <td>8.600000</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>7.857143</td>\n",
       "      <td>0.033988</td>\n",
       "      <td>0.040857</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.108749</td>\n",
       "      <td>0.278571</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.193961</td>\n",
       "      <td>0.235357</td>\n",
       "      <td>8.071429</td>\n",
       "      <td>2.142857</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-28</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.039124</td>\n",
       "      <td>11.200000</td>\n",
       "      <td>15.285714</td>\n",
       "      <td>9.857143</td>\n",
       "      <td>0.037048</td>\n",
       "      <td>0.047286</td>\n",
       "      <td>11.857143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.167123</td>\n",
       "      <td>0.521429</td>\n",
       "      <td>11.785714</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.199472</td>\n",
       "      <td>0.281929</td>\n",
       "      <td>9.428571</td>\n",
       "      <td>2.571429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-29</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>5.542965</td>\n",
       "      <td>21.485714</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.032696</td>\n",
       "      <td>0.045571</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.330121</td>\n",
       "      <td>2.442857</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.857143</td>\n",
       "      <td>0.211158</td>\n",
       "      <td>0.414643</td>\n",
       "      <td>13.714286</td>\n",
       "      <td>3.571429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-30</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>6.293019</td>\n",
       "      <td>19.585714</td>\n",
       "      <td>8.571429</td>\n",
       "      <td>18.142857</td>\n",
       "      <td>0.032250</td>\n",
       "      <td>0.045714</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>...</td>\n",
       "      <td>0.292738</td>\n",
       "      <td>1.521429</td>\n",
       "      <td>10.928571</td>\n",
       "      <td>2.285714</td>\n",
       "      <td>0.229194</td>\n",
       "      <td>0.363929</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.857143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-31</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>7.397511</td>\n",
       "      <td>16.471429</td>\n",
       "      <td>14.857143</td>\n",
       "      <td>14.714286</td>\n",
       "      <td>0.032797</td>\n",
       "      <td>0.044429</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.582261</td>\n",
       "      <td>2.471429</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>4.571429</td>\n",
       "      <td>0.230909</td>\n",
       "      <td>0.323714</td>\n",
       "      <td>10.357143</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5996 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            State Code  County Code     Site Num   NO2 Mean  \\\n",
       "Date Local                                                    \n",
       "2000-01-01   16.102564    63.820513  1446.230769  18.508666   \n",
       "2000-01-02   16.368421    63.736842  1484.236842  14.692258   \n",
       "2000-01-03   16.285714    65.233766  1464.870130  23.754976   \n",
       "2000-01-04   15.850000    64.300000  1460.350000  24.160910   \n",
       "2000-01-05   15.850000    64.300000  1460.350000  23.804671   \n",
       "...                ...          ...          ...        ...   \n",
       "2016-05-27   19.571429   118.428571    26.142857   4.103193   \n",
       "2016-05-28   19.571429   118.428571    26.142857   4.039124   \n",
       "2016-05-29   19.571429   118.428571    26.142857   5.542965   \n",
       "2016-05-30   19.571429   118.428571    26.142857   6.293019   \n",
       "2016-05-31   19.571429   118.428571    26.142857   7.397511   \n",
       "\n",
       "            NO2 1st Max Value  NO2 1st Max Hour    NO2 AQI   O3 Mean  \\\n",
       "Date Local                                                             \n",
       "2000-01-01          33.923077         10.769231  32.307692  0.018138   \n",
       "2000-01-02          28.736842         12.052632  27.184211  0.020553   \n",
       "2000-01-03          40.636364         14.753247  37.233766  0.012814   \n",
       "2000-01-04          41.700000         12.975000  38.650000  0.013022   \n",
       "2000-01-05          42.450000         13.650000  38.700000  0.015492   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-27           8.600000         10.714286   7.857143  0.033988   \n",
       "2016-05-28          11.200000         15.285714   9.857143  0.037048   \n",
       "2016-05-29          21.485714         18.000000  20.000000  0.032696   \n",
       "2016-05-30          19.585714          8.571429  18.142857  0.032250   \n",
       "2016-05-31          16.471429         14.857143  14.714286  0.032797   \n",
       "\n",
       "            O3 1st Max Value  O3 1st Max Hour  ...  SO2 Mean  \\\n",
       "Date Local                                     ...             \n",
       "2000-01-01          0.028231        12.025641  ...  4.317923   \n",
       "2000-01-02          0.031737         9.263158  ...  3.419270   \n",
       "2000-01-03          0.022455        13.000000  ...  3.280580   \n",
       "2000-01-04          0.021475         9.950000  ...  2.760379   \n",
       "2000-01-05          0.025675        10.000000  ...  3.002096   \n",
       "...                      ...              ...  ...       ...   \n",
       "2016-05-27          0.040857        10.714286  ...  0.108749   \n",
       "2016-05-28          0.047286        11.857143  ...  0.167123   \n",
       "2016-05-29          0.045571         8.428571  ...  0.330121   \n",
       "2016-05-30          0.045714        10.285714  ...  0.292738   \n",
       "2016-05-31          0.044429         8.428571  ...  0.582261   \n",
       "\n",
       "            SO2 1st Max Value  SO2 1st Max Hour    SO2 AQI   CO Mean  \\\n",
       "Date Local                                                             \n",
       "2000-01-01           8.302564          9.461538  13.384615  0.792037   \n",
       "2000-01-02           7.231579          8.578947  11.315789  0.578626   \n",
       "2000-01-03           6.970130         11.668831  11.454545  0.931910   \n",
       "2000-01-04           6.296250         13.237500  10.125000  0.992513   \n",
       "2000-01-05           6.908750         11.062500  11.375000  0.999075   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-27           0.278571          2.428571   0.142857  0.193961   \n",
       "2016-05-28           0.521429         11.785714   0.428571  0.199472   \n",
       "2016-05-29           2.442857          8.000000   3.857143  0.211158   \n",
       "2016-05-30           1.521429         10.928571   2.285714  0.229194   \n",
       "2016-05-31           2.471429         10.714286   4.571429  0.230909   \n",
       "\n",
       "            CO 1st Max Value  CO 1st Max Hour     CO AQI  count  Year  \n",
       "Date Local                                                             \n",
       "2000-01-01          1.675641         8.730769  16.000000    1.0  2000  \n",
       "2000-01-02          1.144737         8.855263  11.342105    1.0  2000  \n",
       "2000-01-03          1.857143        12.753247  16.131579    1.0  2000  \n",
       "2000-01-04          1.868750         9.600000  18.050000    1.0  2000  \n",
       "2000-01-05          1.960000        10.412500  17.775000    1.0  2000  \n",
       "...                      ...              ...        ...    ...   ...  \n",
       "2016-05-27          0.235357         8.071429   2.142857    1.0  2016  \n",
       "2016-05-28          0.281929         9.428571   2.571429    1.0  2016  \n",
       "2016-05-29          0.414643        13.714286   3.571429    1.0  2016  \n",
       "2016-05-30          0.363929         8.000000   3.857143    1.0  2016  \n",
       "2016-05-31          0.323714        10.357143   3.000000    1.0  2000  \n",
       "\n",
       "[5996 rows x 21 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "pdf_dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Code</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Site Num</th>\n",
       "      <th>NO2 Mean</th>\n",
       "      <th>NO2 1st Max Value</th>\n",
       "      <th>NO2 1st Max Hour</th>\n",
       "      <th>NO2 AQI</th>\n",
       "      <th>O3 Mean</th>\n",
       "      <th>O3 1st Max Value</th>\n",
       "      <th>O3 1st Max Hour</th>\n",
       "      <th>...</th>\n",
       "      <th>SO2 1st Max Value</th>\n",
       "      <th>SO2 1st Max Hour</th>\n",
       "      <th>SO2 AQI</th>\n",
       "      <th>CO Mean</th>\n",
       "      <th>CO 1st Max Value</th>\n",
       "      <th>CO 1st Max Hour</th>\n",
       "      <th>CO AQI</th>\n",
       "      <th>count</th>\n",
       "      <th>Year</th>\n",
       "      <th>Dates Local</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date Local</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>16.102564</td>\n",
       "      <td>63.820513</td>\n",
       "      <td>1446.230769</td>\n",
       "      <td>18.508666</td>\n",
       "      <td>33.923077</td>\n",
       "      <td>10.769231</td>\n",
       "      <td>32.307692</td>\n",
       "      <td>0.018138</td>\n",
       "      <td>0.028231</td>\n",
       "      <td>12.025641</td>\n",
       "      <td>...</td>\n",
       "      <td>8.302564</td>\n",
       "      <td>9.461538</td>\n",
       "      <td>13.384615</td>\n",
       "      <td>0.792037</td>\n",
       "      <td>1.675641</td>\n",
       "      <td>8.730769</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-02</th>\n",
       "      <td>16.368421</td>\n",
       "      <td>63.736842</td>\n",
       "      <td>1484.236842</td>\n",
       "      <td>14.692258</td>\n",
       "      <td>28.736842</td>\n",
       "      <td>12.052632</td>\n",
       "      <td>27.184211</td>\n",
       "      <td>0.020553</td>\n",
       "      <td>0.031737</td>\n",
       "      <td>9.263158</td>\n",
       "      <td>...</td>\n",
       "      <td>7.231579</td>\n",
       "      <td>8.578947</td>\n",
       "      <td>11.315789</td>\n",
       "      <td>0.578626</td>\n",
       "      <td>1.144737</td>\n",
       "      <td>8.855263</td>\n",
       "      <td>11.342105</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-03</th>\n",
       "      <td>16.285714</td>\n",
       "      <td>65.233766</td>\n",
       "      <td>1464.870130</td>\n",
       "      <td>23.754976</td>\n",
       "      <td>40.636364</td>\n",
       "      <td>14.753247</td>\n",
       "      <td>37.233766</td>\n",
       "      <td>0.012814</td>\n",
       "      <td>0.022455</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.970130</td>\n",
       "      <td>11.668831</td>\n",
       "      <td>11.454545</td>\n",
       "      <td>0.931910</td>\n",
       "      <td>1.857143</td>\n",
       "      <td>12.753247</td>\n",
       "      <td>16.131579</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-04</th>\n",
       "      <td>15.850000</td>\n",
       "      <td>64.300000</td>\n",
       "      <td>1460.350000</td>\n",
       "      <td>24.160910</td>\n",
       "      <td>41.700000</td>\n",
       "      <td>12.975000</td>\n",
       "      <td>38.650000</td>\n",
       "      <td>0.013022</td>\n",
       "      <td>0.021475</td>\n",
       "      <td>9.950000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.296250</td>\n",
       "      <td>13.237500</td>\n",
       "      <td>10.125000</td>\n",
       "      <td>0.992513</td>\n",
       "      <td>1.868750</td>\n",
       "      <td>9.600000</td>\n",
       "      <td>18.050000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000-01-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-05</th>\n",
       "      <td>15.850000</td>\n",
       "      <td>64.300000</td>\n",
       "      <td>1460.350000</td>\n",
       "      <td>23.804671</td>\n",
       "      <td>42.450000</td>\n",
       "      <td>13.650000</td>\n",
       "      <td>38.700000</td>\n",
       "      <td>0.015492</td>\n",
       "      <td>0.025675</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.908750</td>\n",
       "      <td>11.062500</td>\n",
       "      <td>11.375000</td>\n",
       "      <td>0.999075</td>\n",
       "      <td>1.960000</td>\n",
       "      <td>10.412500</td>\n",
       "      <td>17.775000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000-01-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-27</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.103193</td>\n",
       "      <td>8.600000</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>7.857143</td>\n",
       "      <td>0.033988</td>\n",
       "      <td>0.040857</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.278571</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.193961</td>\n",
       "      <td>0.235357</td>\n",
       "      <td>8.071429</td>\n",
       "      <td>2.142857</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-05-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-28</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>4.039124</td>\n",
       "      <td>11.200000</td>\n",
       "      <td>15.285714</td>\n",
       "      <td>9.857143</td>\n",
       "      <td>0.037048</td>\n",
       "      <td>0.047286</td>\n",
       "      <td>11.857143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.521429</td>\n",
       "      <td>11.785714</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.199472</td>\n",
       "      <td>0.281929</td>\n",
       "      <td>9.428571</td>\n",
       "      <td>2.571429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-05-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-29</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>5.542965</td>\n",
       "      <td>21.485714</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.032696</td>\n",
       "      <td>0.045571</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>2.442857</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.857143</td>\n",
       "      <td>0.211158</td>\n",
       "      <td>0.414643</td>\n",
       "      <td>13.714286</td>\n",
       "      <td>3.571429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-05-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-30</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>6.293019</td>\n",
       "      <td>19.585714</td>\n",
       "      <td>8.571429</td>\n",
       "      <td>18.142857</td>\n",
       "      <td>0.032250</td>\n",
       "      <td>0.045714</td>\n",
       "      <td>10.285714</td>\n",
       "      <td>...</td>\n",
       "      <td>1.521429</td>\n",
       "      <td>10.928571</td>\n",
       "      <td>2.285714</td>\n",
       "      <td>0.229194</td>\n",
       "      <td>0.363929</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.857143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-05-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-31</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>118.428571</td>\n",
       "      <td>26.142857</td>\n",
       "      <td>7.397511</td>\n",
       "      <td>16.471429</td>\n",
       "      <td>14.857143</td>\n",
       "      <td>14.714286</td>\n",
       "      <td>0.032797</td>\n",
       "      <td>0.044429</td>\n",
       "      <td>8.428571</td>\n",
       "      <td>...</td>\n",
       "      <td>2.471429</td>\n",
       "      <td>10.714286</td>\n",
       "      <td>4.571429</td>\n",
       "      <td>0.230909</td>\n",
       "      <td>0.323714</td>\n",
       "      <td>10.357143</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2016-05-31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5996 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            State Code  County Code     Site Num   NO2 Mean  \\\n",
       "Date Local                                                    \n",
       "2000-01-01   16.102564    63.820513  1446.230769  18.508666   \n",
       "2000-01-02   16.368421    63.736842  1484.236842  14.692258   \n",
       "2000-01-03   16.285714    65.233766  1464.870130  23.754976   \n",
       "2000-01-04   15.850000    64.300000  1460.350000  24.160910   \n",
       "2000-01-05   15.850000    64.300000  1460.350000  23.804671   \n",
       "...                ...          ...          ...        ...   \n",
       "2016-05-27   19.571429   118.428571    26.142857   4.103193   \n",
       "2016-05-28   19.571429   118.428571    26.142857   4.039124   \n",
       "2016-05-29   19.571429   118.428571    26.142857   5.542965   \n",
       "2016-05-30   19.571429   118.428571    26.142857   6.293019   \n",
       "2016-05-31   19.571429   118.428571    26.142857   7.397511   \n",
       "\n",
       "            NO2 1st Max Value  NO2 1st Max Hour    NO2 AQI   O3 Mean  \\\n",
       "Date Local                                                             \n",
       "2000-01-01          33.923077         10.769231  32.307692  0.018138   \n",
       "2000-01-02          28.736842         12.052632  27.184211  0.020553   \n",
       "2000-01-03          40.636364         14.753247  37.233766  0.012814   \n",
       "2000-01-04          41.700000         12.975000  38.650000  0.013022   \n",
       "2000-01-05          42.450000         13.650000  38.700000  0.015492   \n",
       "...                       ...               ...        ...       ...   \n",
       "2016-05-27           8.600000         10.714286   7.857143  0.033988   \n",
       "2016-05-28          11.200000         15.285714   9.857143  0.037048   \n",
       "2016-05-29          21.485714         18.000000  20.000000  0.032696   \n",
       "2016-05-30          19.585714          8.571429  18.142857  0.032250   \n",
       "2016-05-31          16.471429         14.857143  14.714286  0.032797   \n",
       "\n",
       "            O3 1st Max Value  O3 1st Max Hour  ...  SO2 1st Max Value  \\\n",
       "Date Local                                     ...                      \n",
       "2000-01-01          0.028231        12.025641  ...           8.302564   \n",
       "2000-01-02          0.031737         9.263158  ...           7.231579   \n",
       "2000-01-03          0.022455        13.000000  ...           6.970130   \n",
       "2000-01-04          0.021475         9.950000  ...           6.296250   \n",
       "2000-01-05          0.025675        10.000000  ...           6.908750   \n",
       "...                      ...              ...  ...                ...   \n",
       "2016-05-27          0.040857        10.714286  ...           0.278571   \n",
       "2016-05-28          0.047286        11.857143  ...           0.521429   \n",
       "2016-05-29          0.045571         8.428571  ...           2.442857   \n",
       "2016-05-30          0.045714        10.285714  ...           1.521429   \n",
       "2016-05-31          0.044429         8.428571  ...           2.471429   \n",
       "\n",
       "            SO2 1st Max Hour    SO2 AQI   CO Mean  CO 1st Max Value  \\\n",
       "Date Local                                                            \n",
       "2000-01-01          9.461538  13.384615  0.792037          1.675641   \n",
       "2000-01-02          8.578947  11.315789  0.578626          1.144737   \n",
       "2000-01-03         11.668831  11.454545  0.931910          1.857143   \n",
       "2000-01-04         13.237500  10.125000  0.992513          1.868750   \n",
       "2000-01-05         11.062500  11.375000  0.999075          1.960000   \n",
       "...                      ...        ...       ...               ...   \n",
       "2016-05-27          2.428571   0.142857  0.193961          0.235357   \n",
       "2016-05-28         11.785714   0.428571  0.199472          0.281929   \n",
       "2016-05-29          8.000000   3.857143  0.211158          0.414643   \n",
       "2016-05-30         10.928571   2.285714  0.229194          0.363929   \n",
       "2016-05-31         10.714286   4.571429  0.230909          0.323714   \n",
       "\n",
       "            CO 1st Max Hour     CO AQI  count  Year  Dates Local  \n",
       "Date Local                                                        \n",
       "2000-01-01         8.730769  16.000000    1.0  2000   2000-01-01  \n",
       "2000-01-02         8.855263  11.342105    1.0  2000   2000-01-02  \n",
       "2000-01-03        12.753247  16.131579    1.0  2000   2000-01-03  \n",
       "2000-01-04         9.600000  18.050000    1.0  2000   2000-01-04  \n",
       "2000-01-05        10.412500  17.775000    1.0  2000   2000-01-05  \n",
       "...                     ...        ...    ...   ...          ...  \n",
       "2016-05-27         8.071429   2.142857    1.0  2016   2016-05-27  \n",
       "2016-05-28         9.428571   2.571429    1.0  2016   2016-05-28  \n",
       "2016-05-29        13.714286   3.571429    1.0  2016   2016-05-29  \n",
       "2016-05-30         8.000000   3.857143    1.0  2016   2016-05-30  \n",
       "2016-05-31        10.357143   3.000000    1.0  2000   2016-05-31  \n",
       "\n",
       "[5996 rows x 22 columns]"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_dates['Dates Local']=pdf_dates.index\n",
    "pdf_dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dates=pdf_dates['Dates Local']\n",
    "NO2AQI=pdf_dates['NO2 AQI']\n",
    "plt.plot(dates, NO2AQI)\n",
    "plt.xlabel('Dates')\n",
    "plt.ylabel('NO2 AQI')\n",
    "plt.show()\n",
    "#The graph indicates a decreasing trend in the NO2 AQI levels in the US over the span (2000-2016)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SO2AQI=pdf_dates['SO2 AQI']\n",
    "plt.plot(dates, SO2AQI)\n",
    "plt.xlabel('Dates')\n",
    "plt.ylabel('SO2 AQI')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SO2AQI=pdf_dates['O3 AQI']\n",
    "plt.scatter(dates, SO2AQI)\n",
    "plt.xlabel('Dates')\n",
    "plt.ylabel('O3 AQI')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "COAQI=pdf_dates['CO AQI']\n",
    "plt.plot(dates, SO2AQI)\n",
    "plt.xlabel('Dates')\n",
    "plt.ylabel('CO2 AQI')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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