Despcriptive Statistical Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The data of all the files from year 2000-2014 of AP have been combined and put into one file called Dataset\n",
    "filename = \"/home/karan/ASM_ASNMENT2/Renewable Energy Data/Dataset.csv\"\n",
    "df = pd.read_csv(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Minute</th>\n",
       "      <th>DHI</th>\n",
       "      <th>DNI</th>\n",
       "      <th>GHI</th>\n",
       "      <th>Clearsky DHI</th>\n",
       "      <th>Clearsky DNI</th>\n",
       "      <th>Clearsky GHI</th>\n",
       "      <th>Dew Point</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Relative Humidity</th>\n",
       "      <th>Solar Zenith Angle</th>\n",
       "      <th>Wind Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.736232</td>\n",
       "      <td>937.309814</td>\n",
       "      <td>97.636380</td>\n",
       "      <td>171.103614</td>\n",
       "      <td>1.820233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.547621</td>\n",
       "      <td>936.590149</td>\n",
       "      <td>97.764840</td>\n",
       "      <td>162.082357</td>\n",
       "      <td>1.616232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.405927</td>\n",
       "      <td>936.324219</td>\n",
       "      <td>98.032320</td>\n",
       "      <td>148.957279</td>\n",
       "      <td>1.382257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.305098</td>\n",
       "      <td>936.155273</td>\n",
       "      <td>98.152521</td>\n",
       "      <td>135.256602</td>\n",
       "      <td>1.173256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>20.266761</td>\n",
       "      <td>936.478088</td>\n",
       "      <td>98.132011</td>\n",
       "      <td>121.461475</td>\n",
       "      <td>0.998815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>13.790353</td>\n",
       "      <td>939.899292</td>\n",
       "      <td>98.876405</td>\n",
       "      <td>107.660610</td>\n",
       "      <td>2.971705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>14.254964</td>\n",
       "      <td>940.688599</td>\n",
       "      <td>93.838127</td>\n",
       "      <td>94.123193</td>\n",
       "      <td>2.779415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>316</td>\n",
       "      <td>109</td>\n",
       "      <td>59</td>\n",
       "      <td>316</td>\n",
       "      <td>109</td>\n",
       "      <td>13</td>\n",
       "      <td>15.892355</td>\n",
       "      <td>941.445618</td>\n",
       "      <td>86.837310</td>\n",
       "      <td>80.913256</td>\n",
       "      <td>2.547579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>602</td>\n",
       "      <td>333</td>\n",
       "      <td>110</td>\n",
       "      <td>602</td>\n",
       "      <td>333</td>\n",
       "      <td>14</td>\n",
       "      <td>18.137191</td>\n",
       "      <td>942.006470</td>\n",
       "      <td>80.201618</td>\n",
       "      <td>68.258226</td>\n",
       "      <td>2.482057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>740</td>\n",
       "      <td>547</td>\n",
       "      <td>138</td>\n",
       "      <td>740</td>\n",
       "      <td>547</td>\n",
       "      <td>14</td>\n",
       "      <td>21.422234</td>\n",
       "      <td>941.736328</td>\n",
       "      <td>66.567218</td>\n",
       "      <td>56.554706</td>\n",
       "      <td>2.902531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Month  Day  Hour  Minute  DHI  DNI  GHI  Clearsky DHI  Clearsky DNI  \\\n",
       "0  2000      1    1     0       0    0    0    0             0             0   \n",
       "1  2000      1    1     1       0    0    0    0             0             0   \n",
       "2  2000      1    1     2       0    0    0    0             0             0   \n",
       "3  2000      1    1     3       0    0    0    0             0             0   \n",
       "4  2000      1    1     4       0    0    0    0             0             0   \n",
       "5  2000      1    1     5       0    0    0    0             0             0   \n",
       "6  2000      1    1     6       0    0    0    0             0             0   \n",
       "7  2000      1    1     7       0   59  316  109            59           316   \n",
       "8  2000      1    1     8       0  110  602  333           110           602   \n",
       "9  2000      1    1     9       0  138  740  547           138           740   \n",
       "\n",
       "   Clearsky GHI  Dew Point  Temperature    Pressure  Relative Humidity  \\\n",
       "0             0         20    20.736232  937.309814          97.636380   \n",
       "1             0         20    20.547621  936.590149          97.764840   \n",
       "2             0         20    20.405927  936.324219          98.032320   \n",
       "3             0         20    20.305098  936.155273          98.152521   \n",
       "4             0         19    20.266761  936.478088          98.132011   \n",
       "5             0         13    13.790353  939.899292          98.876405   \n",
       "6             0         13    14.254964  940.688599          93.838127   \n",
       "7           109         13    15.892355  941.445618          86.837310   \n",
       "8           333         14    18.137191  942.006470          80.201618   \n",
       "9           547         14    21.422234  941.736328          66.567218   \n",
       "\n",
       "   Solar Zenith Angle  Wind Speed  \n",
       "0          171.103614    1.820233  \n",
       "1          162.082357    1.616232  \n",
       "2          148.957279    1.382257  \n",
       "3          135.256602    1.173256  \n",
       "4          121.461475    0.998815  \n",
       "5          107.660610    2.971705  \n",
       "6           94.123193    2.779415  \n",
       "7           80.913256    2.547579  \n",
       "8           68.258226    2.482057  \n",
       "9           56.554706    2.902531  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>DHI</th>\n",
       "      <th>DNI</th>\n",
       "      <th>GHI</th>\n",
       "      <th>Clearsky DHI</th>\n",
       "      <th>Clearsky DNI</th>\n",
       "      <th>Clearsky GHI</th>\n",
       "      <th>Dew Point</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Relative Humidity</th>\n",
       "      <th>Solar Zenith Angle</th>\n",
       "      <th>Wind Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.736232</td>\n",
       "      <td>937.309814</td>\n",
       "      <td>97.636380</td>\n",
       "      <td>171.103614</td>\n",
       "      <td>1.820233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.547621</td>\n",
       "      <td>936.590149</td>\n",
       "      <td>97.764840</td>\n",
       "      <td>162.082357</td>\n",
       "      <td>1.616232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.405927</td>\n",
       "      <td>936.324219</td>\n",
       "      <td>98.032320</td>\n",
       "      <td>148.957279</td>\n",
       "      <td>1.382257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.305098</td>\n",
       "      <td>936.155273</td>\n",
       "      <td>98.152521</td>\n",
       "      <td>135.256602</td>\n",
       "      <td>1.173256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>20.266761</td>\n",
       "      <td>936.478088</td>\n",
       "      <td>98.132011</td>\n",
       "      <td>121.461475</td>\n",
       "      <td>0.998815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>13.790353</td>\n",
       "      <td>939.899292</td>\n",
       "      <td>98.876405</td>\n",
       "      <td>107.660610</td>\n",
       "      <td>2.971705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>14.254964</td>\n",
       "      <td>940.688599</td>\n",
       "      <td>93.838127</td>\n",
       "      <td>94.123193</td>\n",
       "      <td>2.779415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>59</td>\n",
       "      <td>316</td>\n",
       "      <td>109</td>\n",
       "      <td>59</td>\n",
       "      <td>316</td>\n",
       "      <td>109</td>\n",
       "      <td>13</td>\n",
       "      <td>15.892355</td>\n",
       "      <td>941.445618</td>\n",
       "      <td>86.837310</td>\n",
       "      <td>80.913256</td>\n",
       "      <td>2.547579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>110</td>\n",
       "      <td>602</td>\n",
       "      <td>333</td>\n",
       "      <td>110</td>\n",
       "      <td>602</td>\n",
       "      <td>333</td>\n",
       "      <td>14</td>\n",
       "      <td>18.137191</td>\n",
       "      <td>942.006470</td>\n",
       "      <td>80.201618</td>\n",
       "      <td>68.258226</td>\n",
       "      <td>2.482057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>138</td>\n",
       "      <td>740</td>\n",
       "      <td>547</td>\n",
       "      <td>138</td>\n",
       "      <td>740</td>\n",
       "      <td>547</td>\n",
       "      <td>14</td>\n",
       "      <td>21.422234</td>\n",
       "      <td>941.736328</td>\n",
       "      <td>66.567218</td>\n",
       "      <td>56.554706</td>\n",
       "      <td>2.902531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   DHI  DNI  GHI  Clearsky DHI  Clearsky DNI  Clearsky GHI  Dew Point  \\\n",
       "0    0    0    0             0             0             0         20   \n",
       "1    0    0    0             0             0             0         20   \n",
       "2    0    0    0             0             0             0         20   \n",
       "3    0    0    0             0             0             0         20   \n",
       "4    0    0    0             0             0             0         19   \n",
       "5    0    0    0             0             0             0         13   \n",
       "6    0    0    0             0             0             0         13   \n",
       "7   59  316  109            59           316           109         13   \n",
       "8  110  602  333           110           602           333         14   \n",
       "9  138  740  547           138           740           547         14   \n",
       "\n",
       "   Temperature    Pressure  Relative Humidity  Solar Zenith Angle  Wind Speed  \n",
       "0    20.736232  937.309814          97.636380          171.103614    1.820233  \n",
       "1    20.547621  936.590149          97.764840          162.082357    1.616232  \n",
       "2    20.405927  936.324219          98.032320          148.957279    1.382257  \n",
       "3    20.305098  936.155273          98.152521          135.256602    1.173256  \n",
       "4    20.266761  936.478088          98.132011          121.461475    0.998815  \n",
       "5    13.790353  939.899292          98.876405          107.660610    2.971705  \n",
       "6    14.254964  940.688599          93.838127           94.123193    2.779415  \n",
       "7    15.892355  941.445618          86.837310           80.913256    2.547579  \n",
       "8    18.137191  942.006470          80.201618           68.258226    2.482057  \n",
       "9    21.422234  941.736328          66.567218           56.554706    2.902531  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dropping the date and Time Columns\n",
    "df_new = df.drop(['Year', 'Month', 'Day','Hour','Minute'], axis = 'columns')\n",
    "df_new.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Minute</th>\n",
       "      <th>DHI</th>\n",
       "      <th>DNI</th>\n",
       "      <th>GHI</th>\n",
       "      <th>Clearsky DHI</th>\n",
       "      <th>Clearsky DNI</th>\n",
       "      <th>Clearsky GHI</th>\n",
       "      <th>Dew Point</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Relative Humidity</th>\n",
       "      <th>Solar Zenith Angle</th>\n",
       "      <th>Wind Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>316</td>\n",
       "      <td>109</td>\n",
       "      <td>59</td>\n",
       "      <td>316</td>\n",
       "      <td>109</td>\n",
       "      <td>13</td>\n",
       "      <td>15.892355</td>\n",
       "      <td>941.445618</td>\n",
       "      <td>86.837310</td>\n",
       "      <td>80.913256</td>\n",
       "      <td>2.547579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>602</td>\n",
       "      <td>333</td>\n",
       "      <td>110</td>\n",
       "      <td>602</td>\n",
       "      <td>333</td>\n",
       "      <td>14</td>\n",
       "      <td>18.137191</td>\n",
       "      <td>942.006470</td>\n",
       "      <td>80.201618</td>\n",
       "      <td>68.258226</td>\n",
       "      <td>2.482057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>740</td>\n",
       "      <td>547</td>\n",
       "      <td>138</td>\n",
       "      <td>740</td>\n",
       "      <td>547</td>\n",
       "      <td>14</td>\n",
       "      <td>21.422234</td>\n",
       "      <td>941.736328</td>\n",
       "      <td>66.567218</td>\n",
       "      <td>56.554706</td>\n",
       "      <td>2.902531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>155</td>\n",
       "      <td>812</td>\n",
       "      <td>714</td>\n",
       "      <td>155</td>\n",
       "      <td>812</td>\n",
       "      <td>714</td>\n",
       "      <td>14</td>\n",
       "      <td>23.382713</td>\n",
       "      <td>941.219055</td>\n",
       "      <td>58.555843</td>\n",
       "      <td>46.546520</td>\n",
       "      <td>2.866336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>164</td>\n",
       "      <td>847</td>\n",
       "      <td>818</td>\n",
       "      <td>164</td>\n",
       "      <td>847</td>\n",
       "      <td>818</td>\n",
       "      <td>14</td>\n",
       "      <td>24.719346</td>\n",
       "      <td>940.310425</td>\n",
       "      <td>53.863563</td>\n",
       "      <td>39.556979</td>\n",
       "      <td>2.829693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>261</td>\n",
       "      <td>674</td>\n",
       "      <td>797</td>\n",
       "      <td>167</td>\n",
       "      <td>855</td>\n",
       "      <td>847</td>\n",
       "      <td>14</td>\n",
       "      <td>25.476261</td>\n",
       "      <td>938.998352</td>\n",
       "      <td>51.624979</td>\n",
       "      <td>37.330650</td>\n",
       "      <td>2.829407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>177</td>\n",
       "      <td>808</td>\n",
       "      <td>790</td>\n",
       "      <td>163</td>\n",
       "      <td>838</td>\n",
       "      <td>799</td>\n",
       "      <td>14</td>\n",
       "      <td>25.595000</td>\n",
       "      <td>937.916443</td>\n",
       "      <td>51.677632</td>\n",
       "      <td>40.659881</td>\n",
       "      <td>2.896756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>758</td>\n",
       "      <td>664</td>\n",
       "      <td>152</td>\n",
       "      <td>794</td>\n",
       "      <td>679</td>\n",
       "      <td>15</td>\n",
       "      <td>25.089871</td>\n",
       "      <td>937.382568</td>\n",
       "      <td>53.630888</td>\n",
       "      <td>48.409352</td>\n",
       "      <td>3.016141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>133</td>\n",
       "      <td>709</td>\n",
       "      <td>500</td>\n",
       "      <td>133</td>\n",
       "      <td>709</td>\n",
       "      <td>500</td>\n",
       "      <td>15</td>\n",
       "      <td>23.967624</td>\n",
       "      <td>937.532410</td>\n",
       "      <td>57.555124</td>\n",
       "      <td>58.852491</td>\n",
       "      <td>3.172898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>134</td>\n",
       "      <td>447</td>\n",
       "      <td>282</td>\n",
       "      <td>101</td>\n",
       "      <td>549</td>\n",
       "      <td>282</td>\n",
       "      <td>15</td>\n",
       "      <td>22.389681</td>\n",
       "      <td>937.813965</td>\n",
       "      <td>64.006066</td>\n",
       "      <td>70.798652</td>\n",
       "      <td>3.167377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Month  Day  Hour  Minute  DHI  DNI  GHI  Clearsky DHI  Clearsky DNI  \\\n",
       "7   2000      1    1     7       0   59  316  109            59           316   \n",
       "8   2000      1    1     8       0  110  602  333           110           602   \n",
       "9   2000      1    1     9       0  138  740  547           138           740   \n",
       "10  2000      1    1    10       0  155  812  714           155           812   \n",
       "11  2000      1    1    11       0  164  847  818           164           847   \n",
       "12  2000      1    1    12       0  261  674  797           167           855   \n",
       "13  2000      1    1    13       0  177  808  790           163           838   \n",
       "14  2000      1    1    14       0  160  758  664           152           794   \n",
       "15  2000      1    1    15       0  133  709  500           133           709   \n",
       "16  2000      1    1    16       0  134  447  282           101           549   \n",
       "\n",
       "    Clearsky GHI  Dew Point  Temperature    Pressure  Relative Humidity  \\\n",
       "7            109         13    15.892355  941.445618          86.837310   \n",
       "8            333         14    18.137191  942.006470          80.201618   \n",
       "9            547         14    21.422234  941.736328          66.567218   \n",
       "10           714         14    23.382713  941.219055          58.555843   \n",
       "11           818         14    24.719346  940.310425          53.863563   \n",
       "12           847         14    25.476261  938.998352          51.624979   \n",
       "13           799         14    25.595000  937.916443          51.677632   \n",
       "14           679         15    25.089871  937.382568          53.630888   \n",
       "15           500         15    23.967624  937.532410          57.555124   \n",
       "16           282         15    22.389681  937.813965          64.006066   \n",
       "\n",
       "    Solar Zenith Angle  Wind Speed  \n",
       "7            80.913256    2.547579  \n",
       "8            68.258226    2.482057  \n",
       "9            56.554706    2.902531  \n",
       "10           46.546520    2.866336  \n",
       "11           39.556979    2.829693  \n",
       "12           37.330650    2.829407  \n",
       "13           40.659881    2.896756  \n",
       "14           48.409352    3.016141  \n",
       "15           58.852491    3.172898  \n",
       "16           70.798652    3.167377  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removing all the rows which have zero GHI, DHI, DNI\n",
    "df.drop(df[df['GHI'] == 0].index, inplace = True)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the heat Map with Annotations\n",
    "sns.set(font_scale=1.05)\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "ax=sns.heatmap(df_new.corr(),annot= True,linewidths=.25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Please note that in the final report for the purpose of Clearity the Correleation values have been extracted from the above heat map and put into the tables in the report so as to present the data in a more oreganized way."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}