eda_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "from datetime import datetime as dt\n",
    "from datetime import date, timedelta\n",
    "import time\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import requests\n",
    "from darksky import forecast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from api_key import ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(142193, 24)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import dataframe, rename cols\n",
    "df = pd.read_csv('Datasets/ausraindata.csv')\n",
    "df = df.rename({'MinTemp':'TempLow', 'MaxTemp':'TempHigh'}, axis=1)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140787, 23)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop following day measured rainfall, drop data with no rain\n",
    "df = df.drop('RISK_MM', axis=1)\n",
    "df = df.dropna(subset=['Rainfall', 'RainToday'])\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', 'Location', 'TempLow', 'TempHigh', 'Rainfall', 'Evaporation',\n",
       "       'Sunshine', 'WindGustDir', 'WindGustSpeed', 'WindDir9am', 'WindDir3pm',\n",
       "       'WindSpeed9am', 'WindSpeed3pm', 'Humidity9am', 'Humidity3pm',\n",
       "       'Pressure9am', 'Pressure3pm', 'Cloud9am', 'Cloud3pm', 'Temp9am',\n",
       "       'Temp3pm', 'RainToday', 'RainTomorrow'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_df = pd.read_csv('Datasets/final_data.csv', index_col=0)\n",
    "# new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2234226171450489"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "31455/140787"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to turn yes and no values into 1 and 0 values\n",
    "def trans_bools(df, col):\n",
    "    df[col] = np.where(df[col]=='Yes', 1, 0)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to transform date data\n",
    "def trans_date(df):\n",
    "    df['Date'] = pd.to_datetime(df['Date'])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to transform cloud data\n",
    "def trans_cloud(df):\n",
    "    df['Cloud9am'] = df['Cloud9am'] / 8\n",
    "    df['Cloud3pm'] = df['Cloud3pm'] / 8\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to add latitude longitude data\n",
    "def lat_lon(df):\n",
    "    lat_lon = [\n",
    "        (-34.9281805, 138.5999312),(-35.0247822, 117.883608),(-36.0804766, 146.9162795),\n",
    "        (-23.6983884, 133.8812885),(-35.8348792, 149.9957662),(-37.5622632, 143.8607215),\n",
    "        (-36.7588767, 144.2825931),(-27.4689682, 153.0234991),(-16.9206657, 145.7721854),\n",
    "        (-35.2975906, 149.1012676),(-31.4983333, 145.8344444),(-30.2962407, 153.1135293),\n",
    "        (-37.9225444, 141.2766551),(-12.46044, 130.8410469),(-28.0023731, 153.4145987),\n",
    "        (-42.8825088, 147.3281233),(-14.4642313, 132.2638568),(-41.4340813, 147.1373496),\n",
    "        (-37.8142176, 144.9631608),(-37.667111000000006, 144.83348076679553),\n",
    "        (-34.1847265, 142.1624972),(-29.4617202, 149.8407153),(-37.8246698, 140.7820067624113),\n",
    "        (-35.5297196, 148.7726345),(-32.9272881, 151.7812534),(-35.4325283, 141.2833187),\n",
    "        (-33.2816667, 151.5677778),(-29.0328038, 167.9483137),(-34.4693354, 138.9939006),\n",
    "        (-31.6739604, 116.01754351808194),(-33.7510792, 150.6941684),(-31.9527121, 115.8604796),\n",
    "        (-31.9431218, 115.9668059888865),(-38.363435, 141.6056055089348),\n",
    "        (-37.80745, 144.99071757972087),(-38.106605, 147.06794525572298),\n",
    "        (-32.9815347, 121.6439417),(-33.8548157, 151.2164539),(-33.9498935, 151.18196819346016),\n",
    "        (-19.2569391, 146.8239537),(-35.4209771, 149.0921341),(-25.3455545, 131.03696147470208),\n",
    "        (-35.115, 147.3677778),(-34.9776796, 116.7310063),(-37.7110022, 145.083635),\n",
    "        (-32.815, 151.8427778),(-34.0263348, 115.1004768),(-34.4243941, 150.89385),\n",
    "        (-31.1999142, 136.8253532)]\n",
    "    city_names = sorted(df['Location'].unique())\n",
    "    loc_dict = dict(zip(city_names, lat_lon))\n",
    "    df['Lat_Lon'] = df['Location'].apply(lambda x: loc_dict[x])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Funciton to apply data cleaning\n",
    "def clean_data(df):\n",
    "    for col in ['RainToday', 'RainTomorrow']:\n",
    "        df = trans_bools(df, col)\n",
    "    df = trans_date(df)\n",
    "    df = trans_cloud(df)\n",
    "    df = lat_lon(df)\n",
    "    return df\n",
    "\n",
    "df = clean_data(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', 'Location', 'TempLow', 'TempHigh', 'Rainfall', 'Evaporation',\n",
       "       'Sunshine', 'WindGustDir', 'WindGustSpeed', 'WindDir9am', 'WindDir3pm',\n",
       "       'WindSpeed9am', 'WindSpeed3pm', 'Humidity9am', 'Humidity3pm',\n",
       "       'Pressure9am', 'Pressure3pm', 'Cloud9am', 'Cloud3pm', 'Temp9am',\n",
       "       'Temp3pm', 'RainToday', 'RainTomorrow', 'Lat_Lon'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fill in Missing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversions = {\n",
    "    'Date':'x', 'Location':'x', 'TempLow':'((x-32)/1.8)', 'TempHigh':'((x-32)/1.8)',\n",
    "    'Rainfall':'(x*25.4)','Sunshine':'x', 'WindGustDir':'x', 'WindGustSpeed':'(x*1.609)',\n",
    "    'WindDir9am':'x', 'WindDir3pm':'x', 'WindSpeed9am':'(x*1.609)', 'WindSpeed3pm':'(x*1.609)',\n",
    "    'Humidity9am':'x', 'Humidity3pm':'x', 'Pressure9am':'x', 'Pressure3pm':'x', 'Cloud9am':'x',\n",
    "    'Cloud3pm':'x', 'Temp9am':'((x-32)/1.8)', 'Temp3pm':'((x-32)/1.8)', 'RainToday':'x',\n",
    "    'RainTomorrow':'x'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List of dataframes per city\n",
    "cities = []\n",
    "for location, df_location in df.groupby('Location'):\n",
    "    cities.append(df_location)\n",
    "city_names = sorted(df['Location'].unique())\n",
    "cities = dict(zip(city_names, cities))\n",
    "len(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                 0\n",
       "Location             0\n",
       "TempLow            468\n",
       "TempHigh           307\n",
       "Rainfall             0\n",
       "Evaporation      59694\n",
       "Sunshine         66805\n",
       "WindGustDir       9163\n",
       "WindGustSpeed     9105\n",
       "WindDir9am        9660\n",
       "WindDir3pm        3670\n",
       "WindSpeed9am      1055\n",
       "WindSpeed3pm      2531\n",
       "Humidity9am       1517\n",
       "Humidity3pm       3501\n",
       "Pressure9am      13743\n",
       "Pressure3pm      13769\n",
       "Cloud9am         52625\n",
       "Cloud3pm         56094\n",
       "Temp9am            656\n",
       "Temp3pm           2624\n",
       "RainToday            0\n",
       "RainTomorrow         0\n",
       "Lat_Lon              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Columns with null values\n",
    "nulls = df.isnull().sum()\n",
    "nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# # Dark Sky API loop for missing data, convert units to metric\n",
    "# for city in cities.values():\n",
    "#     loc_call = ds, city['Lat_Lon'].iloc[0][0], city['Lat_Lon'].iloc[0][1]\n",
    "#     for i, r in city.iterrows():\n",
    "#         if city.isnull().loc[i].any():\n",
    "#             try:\n",
    "#                 date_call = r['Date'].isoformat()\n",
    "#                 api_call = forecast(*loc_call, time=date_call)\n",
    "#                 api_dict = {\n",
    "#                     'TempLow':(api_call.daily.data[0].temperatureMin-32)/1.8,\n",
    "#                     'TempHigh':(api_call.daily.data[0].temperatureMax-32)/1.8,\n",
    "#                     'Rainfall':city['Rainfall'].median(),\n",
    "#                     'Evaporation':city['Evaporation'].median(),\n",
    "#                     'Sunshine':city['Evaporation'].median(),\n",
    "#                     'WindGustSpeed':api_call.daily.data[0].windGust*1.609,\n",
    "#                     'WindSpeed9am':api_call.hourly.data[9].windSpeed*1.609,\n",
    "#                     'WindSpeed3pm':api_call.hourly.data[15].windSpeed*1.609,\n",
    "#                     'Humidity9am':api_call.hourly.data[9].humidity*100,\n",
    "#                     'Humidity3pm':api_call.hourly.data[15].humidity*100,\n",
    "#                     'Pressure9am':api_call.hourly.data[9].pressure,\n",
    "#                     'Pressure3pm':api_call.hourly.data[15].pressure,\n",
    "#                     'Cloud9am':api_call.hourly.data[9].cloudCover,\n",
    "#                     'Cloud3pm':api_call.hourly.data[15].cloudCover,\n",
    "#                     'Temp9am':(api_call.hourly.data[9].temperature-32)/1.8,\n",
    "#                     'Temp3pm':(api_call.hourly.data[15].temperature-32)/1.8}\n",
    "#                 # df.isnull().iloc[i]\n",
    "#                 for c in list(city.columns):\n",
    "#                     if pd.isnull(r[c]):\n",
    "#                         city[c][i] = api_dict[c]\n",
    "#                         print(i, c, city[c][i])\n",
    "#                         # r[c] = api_dict[c]\n",
    "#                         # print(i, c, r[c])\n",
    "#             except:\n",
    "#                 print(i, 'ERROR')\n",
    "#     filename = city['Location'].iloc[0]\n",
    "#     city.to_csv(f'{filename}.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Combine City Dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 24)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = pd.DataFrame(columns=list(df.columns))\n",
    "new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_cols = ['WindGustDir', 'WindDir9am', 'WindDir3pm']\n",
    "\n",
    "continuous_cols = ['TempLow', 'TempHigh', 'Rainfall', 'Evaporation', 'Sunshine',\n",
    "                   'WindGustSpeed', 'WindSpeed9am', 'WindSpeed3pm', 'Humidity9am',\n",
    "                   'Humidity3pm', 'Pressure9am', 'Pressure3pm', 'Cloud9am',\n",
    "                   'Cloud3pm', 'Temp9am', 'Temp3pm']\n",
    "\n",
    "for city in city_names:\n",
    "    temp_df = pd.read_csv(f'Datasets/{city}.csv', index_col=0)\n",
    "    for col in categorical_cols:\n",
    "        temp_df[col].fillna(method = 'bfill', inplace=True)\n",
    "    for col in continuous_cols:\n",
    "        col_median = temp_df[col].median()\n",
    "        temp_df[col].fillna(col_median, inplace=True)\n",
    "    new_df = pd.concat([new_df, temp_df])\n",
    "del temp_df\n",
    "    \n",
    "for col in categorical_cols:\n",
    "    new_df[col].fillna(method = 'bfill', inplace=True)\n",
    "for col in continuous_cols:\n",
    "    col_median = new_df[col].median()\n",
    "    new_df[col].fillna(col_median, inplace=True)\n",
    "    \n",
    "new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140787, 24)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_cols = ['WindGustDir', 'WindDir9am', 'WindDir3pm']\n",
    "\n",
    "continuous_cols = ['TempLow', 'TempHigh', 'Rainfall', 'Evaporation', 'Sunshine',\n",
    "                   'WindGustSpeed', 'WindSpeed9am', 'WindSpeed3pm', 'Humidity9am',\n",
    "                   'Humidity3pm', 'Pressure9am', 'Pressure3pm', 'Cloud9am',\n",
    "                   'Cloud3pm', 'Temp9am', 'Temp3pm']\n",
    "\n",
    "for city in city_names:\n",
    "    temp_df = pd.read_csv(f'Datasets/{city}.csv', index_col=0)\n",
    "    for col in categorical_cols:\n",
    "        temp_df[col].fillna(method = 'bfill', inplace=True)\n",
    "    for col in continuous_cols:\n",
    "        col_median = temp_df[col].median()\n",
    "        temp_df[col].fillna(col_median, inplace=True)\n",
    "    new_df = pd.concat([new_df, temp_df])\n",
    "del temp_df\n",
    "    \n",
    "for col in categorical_cols:\n",
    "    new_df[col].fillna(method = 'bfill', inplace=True)\n",
    "for col in continuous_cols:\n",
    "    col_median = new_df[col].median()\n",
    "    new_df[col].fillna(col_median, inplace=True)\n",
    "    \n",
    "new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_df.to_csv('Datasets/final_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List of dataframes per city, after filling null values\n",
    "new_cities = []\n",
    "for location, df_location in new_df.groupby('Location'):\n",
    "    new_cities.append(df_location)\n",
    "# city_names = sorted(df['Location'].unique())\n",
    "new_cities = dict(zip(city_names, new_cities))\n",
    "len(new_cities)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Creation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_df = pd.read_csv('Datasets/final_data.csv', index_col=0)\n",
    "# new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to create average rain per city feature\n",
    "def avg_rain(df):   \n",
    "    city_names = sorted(df['Location'].unique())\n",
    "    avg_rain = list(df.groupby('Location')['Rainfall'].mean())\n",
    "    rain_dict = dict(zip(city_names, avg_rain))\n",
    "    df['Mean_Rainfall'] = df['Location'].apply(lambda x: rain_dict[x])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to turn location data into dummy variables\n",
    "def dummies_loc(df):\n",
    "    dummies = pd.get_dummies(df['Location'], prefix='Loc', drop_first=True)\n",
    "    df = pd.concat([df, dummies], axis=1)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to turn wind direction data into dummy variables\n",
    "def dummies_wind(df):\n",
    "    for col in ['WindGustDir', 'WindDir9am', 'WindDir3pm']:\n",
    "        dirs = {'E':'E', 'ENE':'NE', 'ESE':'SE', 'N':'N', 'NE':'NE', 'NNE':'NE',\n",
    "                'NNW':'NW', 'NW':'NW', 'S':'S', 'SE':'SE', 'SSE':'SE', 'SSW':'SW',\n",
    "                'SW':'SW', 'W':'W', 'WNW':'NW', 'WSW':'SW'}\n",
    "        df[col] = df[col].map(dirs)\n",
    "    dummies_gust = pd.get_dummies(df['WindGustDir'], prefix='WDGust', drop_first=True)\n",
    "    dummies_9am = pd.get_dummies(df['WindDir9am'], prefix='WD9am', drop_first=True)\n",
    "    dummies_3pm = pd.get_dummies(df['WindDir3pm'], prefix='WD3pm', drop_first=True)\n",
    "    df = pd.concat([df, dummies_gust, dummies_9am, dummies_3pm], axis=1)\n",
    "    df = df.drop(['WindGustDir', 'WindDir9am', 'WindDir3pm'], axis=1)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Function to turn dates into season dummy variables\n",
    "# def dummies_seasons(df):\n",
    "# #     df['Date'] = pd.to_datetime(df['Date'])\n",
    "#     # df['Year'] = df['Date'].map(lambda d: d.year)\n",
    "#     df['Fall'] = 0\n",
    "#     df['Winter'] = 0\n",
    "#     df['Spring'] = 0\n",
    "#     seasons = {\n",
    "#         2007:{'Fall': pd.date_range('2007-03-21', '2007-06-21'),\n",
    "#               'Winter': pd.date_range('2007-06-21', '2007-09-23'),\n",
    "#               'Spring': pd.date_range('2007-09-23', '2007-12-22')},\n",
    "#         2008:{'Fall': pd.date_range('2008-03-20', '2008-06-21'),\n",
    "#               'Winter': pd.date_range('2008-06-21', '2008-09-22'),\n",
    "#               'Spring': pd.date_range('2008-09-22', '2008-12-21')},\n",
    "#         2009:{'Fall': pd.date_range('2009-03-20', '2009-06-21'),\n",
    "#               'Winter': pd.date_range('2009-06-21', '2009-09-22'),\n",
    "#               'Spring': pd.date_range('2009-09-22', '2009-12-21')},\n",
    "#         2010:{'Fall': pd.date_range('2010-03-20', '2010-06-21'),\n",
    "#               'Winter': pd.date_range('2010-06-21', '2010-09-23'),\n",
    "#               'Spring': pd.date_range('2010-09-23', '2010-12-21')},\n",
    "#         2011:{'Fall': pd.date_range('2011-03-20', '2011-06-21'),\n",
    "#               'Winter': pd.date_range('2011-06-21', '2011-09-23'),\n",
    "#               'Spring': pd.date_range('2011-09-23', '2011-12-22')},\n",
    "#         2012:{'Fall': pd.date_range('2012-03-20', '2012-06-20'),\n",
    "#               'Winter': pd.date_range('2012-06-20', '2012-09-22'),\n",
    "#               'Spring': pd.date_range('2012-09-22', '2012-12-21')},\n",
    "#         2013:{'Fall': pd.date_range('2013-03-20', '2013-06-21'),\n",
    "#               'Winter': pd.date_range('2013-06-21', '2013-09-22'),\n",
    "#               'Spring': pd.date_range('2013-09-22', '2013-12-21')},\n",
    "#         2014:{'Fall': pd.date_range('2014-03-20', '2014-06-21'),\n",
    "#               'Winter': pd.date_range('2014-06-21', '2014-09-23'),\n",
    "#               'Spring': pd.date_range('2014-09-23', '2014-12-21')},\n",
    "#         2015:{'Fall': pd.date_range('2015-03-20', '2015-06-21'),\n",
    "#               'Winter': pd.date_range('2015-06-21', '2015-09-23'),\n",
    "#               'Spring': pd.date_range('2015-09-23', '2015-12-22')},\n",
    "#         2016:{'Fall': pd.date_range('2016-03-20', '2016-06-20'),\n",
    "#               'Winter': pd.date_range('2016-06-20', '2016-09-22'),\n",
    "#               'Spring': pd.date_range('2016-09-22', '2016-12-21')},\n",
    "#         2017:{'Fall': pd.date_range('2017-03-20', '2017-06-21'),\n",
    "#               'Winter': pd.date_range('2017-06-21', '2017-09-22'),\n",
    "#               'Spring': pd.date_range('2017-09-22', '2017-12-21')}\n",
    "#     }\n",
    "#     for year in seasons.keys():\n",
    "#         filt_year = df['Date'].year == year\n",
    "#         for season in seasons[year].keys():\n",
    "#             # print(seasons[year][season])\n",
    "#             filt_season = df['Date'] in seasons[year][season]\n",
    "#             df[season] = np.where(filt_year & filt_season, 1, df[season])\n",
    "#     return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def season_of_date(date):\n",
    "#     year = str(date.year)\n",
    "#     seasons = {'Spring': pd.date_range(start='21-03-'+year, end='20/06/'+year),\n",
    "#                'Summer': pd.date_range(start='21/06/'+year, end='22/09/'+year),\n",
    "#                'Fall': pd.date_range(start=year+'-03-20', end=year)}\n",
    "#     if date in seasons['Spring']:\n",
    "#         return 'Spring'\n",
    "#     if date in seasons['Summer']:\n",
    "#         return 'Summer'\n",
    "#     if date in seasons['Autumn']:\n",
    "#         return 'Fall'\n",
    "#     else:\n",
    "#         return 'Winter'\n",
    "\n",
    "# # Assuming df has a date column of type `datetime`\n",
    "# df['season'] = df.date.map(season_of_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#     seasons = {\n",
    "#         2007:{'Fall': pd.date_range('2007-03-21', '2007-06-21'),\n",
    "#               'Winter': pd.date_range('2007-06-21', '2007-09-23'),\n",
    "#               'Spring': pd.date_range('2007-09-23', '2007-12-22')},\n",
    "#         2008:{'Fall': pd.date_range('2008-03-20', '2008-06-21'),\n",
    "#               'Winter': pd.date_range('2008-06-21', '2008-09-22'),\n",
    "#               'Spring': pd.date_range('2008-09-22', '2008-12-21')},\n",
    "#         2009:{'Fall': pd.date_range('2009-03-20', '2009-06-21'),\n",
    "#               'Winter': pd.date_range('2009-06-21', '2009-09-22'),\n",
    "#               'Spring': pd.date_range('2009-09-22', '2009-12-21')},\n",
    "#         2010:{'Fall': pd.date_range('2010-03-20', '2010-06-21'),\n",
    "#               'Winter': pd.date_range('2010-06-21', '2010-09-23'),\n",
    "#               'Spring': pd.date_range('2010-09-23', '2010-12-21')},\n",
    "#         2011:{'Fall': pd.date_range('2011-03-20', '2011-06-21'),\n",
    "#               'Winter': pd.date_range('2011-06-21', '2011-09-23'),\n",
    "#               'Spring': pd.date_range('2011-09-23', '2011-12-22')},\n",
    "#         2012:{'Fall': pd.date_range('2012-03-20', '2012-06-20'),\n",
    "#               'Winter': pd.date_range('2012-06-20', '2012-09-22'),\n",
    "#               'Spring': pd.date_range('2012-09-22', '2012-12-21')},\n",
    "#         2013:{'Fall': pd.date_range('2013-03-20', '2013-06-21'),\n",
    "#               'Winter': pd.date_range('2013-06-21', '2013-09-22'),\n",
    "#               'Spring': pd.date_range('2013-09-22', '2013-12-21')},\n",
    "#         2014:{'Fall': pd.date_range('2014-03-20', '2014-06-21'),\n",
    "#               'Winter': pd.date_range('2014-06-21', '2014-09-23'),\n",
    "#               'Spring': pd.date_range('2014-09-23', '2014-12-21')},\n",
    "#         2015:{'Fall': pd.date_range('2015-03-20', '2015-06-21'),\n",
    "#               'Winter': pd.date_range('2015-06-21', '2015-09-23'),\n",
    "#               'Spring': pd.date_range('2015-09-23', '2015-12-22')},\n",
    "#         2016:{'Fall': pd.date_range('2016-03-20', '2016-06-20'),\n",
    "#               'Winter': pd.date_range('2016-06-20', '2016-09-22'),\n",
    "#               'Spring': pd.date_range('2016-09-22', '2016-12-21')},\n",
    "#         2017:{'Fall': pd.date_range('2017-03-20', '2017-06-21'),\n",
    "#               'Winter': pd.date_range('2017-06-21', '2017-09-22'),\n",
    "#               'Spring': pd.date_range('2017-09-22', '2017-12-21')}\n",
    "#     }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to apply all features to data\n",
    "def apply_features(df):\n",
    "    df = avg_rain(df)\n",
    "    # df = dummies_loc(df)\n",
    "    df = dummies_wind(df)\n",
    "    # df = dummies_seasons(df)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140787, 43)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = apply_features(new_df)\n",
    "new_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adjust Outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function transform extreme values\n",
    "def ext_values(df, extreme_cols):\n",
    "    copy = df.copy()\n",
    "    for col in extreme_cols:\n",
    "        std = copy[col].std()\n",
    "        mean = copy[col].mean()\n",
    "        value = mean+(5*std)\n",
    "        copy[col] = copy[col].apply(lambda x: value if (np.abs(x-mean) > 5*std) else x)\n",
    "    return copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "extreme_cols = new_df.drop([\n",
    "    'RainToday', 'RainTomorrow', 'Date', 'Location', 'Lat_Lon', 'WDGust_N',\n",
    "    'WDGust_NE', 'WDGust_NW', 'WDGust_S', 'WDGust_SE', 'WDGust_SW', 'WDGust_W',\n",
    "    'WD9am_N', 'WD9am_NE', 'WD9am_NW', 'WD9am_S', 'WD9am_SE', 'WD9am_SW',\n",
    "    'WD9am_W', 'WD3pm_N', 'WD3pm_NE', 'WD3pm_NW', 'WD3pm_S', 'WD3pm_SE',\n",
    "    'WD3pm_SW', 'WD3pm_W'], axis=1)\n",
    "\n",
    "new_df = ext_values(new_df, extreme_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_df.to_csv('Datasets/final_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_df.to_csv('Datasets/final_data_trans_outliers.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140787, 43)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = pd.read_csv('Datasets/final_data.csv', index_col=0)\n",
    "new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', 'Location', 'TempLow', 'TempHigh', 'Rainfall', 'Evaporation',\n",
       "       'Sunshine', 'WindGustSpeed', 'WindSpeed9am', 'WindSpeed3pm',\n",
       "       'Humidity9am', 'Humidity3pm', 'Pressure9am', 'Pressure3pm', 'Cloud9am',\n",
       "       'Cloud3pm', 'Temp9am', 'Temp3pm', 'RainToday', 'RainTomorrow',\n",
       "       'Lat_Lon', 'Mean_Rainfall', 'WDGust_N', 'WDGust_NE', 'WDGust_NW',\n",
       "       'WDGust_S', 'WDGust_SE', 'WDGust_SW', 'WDGust_W', 'WD9am_N', 'WD9am_NE',\n",
       "       'WD9am_NW', 'WD9am_S', 'WD9am_SE', 'WD9am_SW', 'WD9am_W', 'WD3pm_N',\n",
       "       'WD3pm_NE', 'WD3pm_NW', 'WD3pm_S', 'WD3pm_SE', 'WD3pm_SW', 'WD3pm_W'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to plot each feature vs target variable\n",
    "def pplot_features(df, features):\n",
    "    pp_rows = [features[i:i+4] for i in range(0, len(features), 4)]\n",
    "    for row in pp_rows:\n",
    "        pp = sns.pairplot(data=df, x_vars=row, y_vars='RainTomorrow', kind='reg', height=3)\n",
    "    return plt.show()\n",
    "\n",
    "features = new_df.drop(['RainTomorrow', 'Date', 'Location', 'Lat_Lon'], axis=1).keys()\n",
    "pplot_features(new_df, features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "            background-color:  #88abfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col17 {\n",
       "            background-color:  #9ebeff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col18 {\n",
       "            background-color:  #cbd8ee;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col0 {\n",
       "            background-color:  #ea7b60;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col1 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col2 {\n",
       "            background-color:  #506bda;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col3 {\n",
       "            background-color:  #f7ba9f;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col4 {\n",
       "            background-color:  #ebd3c6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col5 {\n",
       "            background-color:  #b1cbfc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col6 {\n",
       "            background-color:  #84a7fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col7 {\n",
       "            background-color:  #93b5fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col8 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col9 {\n",
       "            background-color:  #445acc;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col10 {\n",
       "            background-color:  #5572df;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col11 {\n",
       "            background-color:  #4358cb;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col12 {\n",
       "            background-color:  #7295f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col13 {\n",
       "            background-color:  #7396f5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col14 {\n",
       "            background-color:  #cf453c;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col15 {\n",
       "            background-color:  #b70d28;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col16 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col17 {\n",
       "            background-color:  #5d7ce6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col18 {\n",
       "            background-color:  #799cf8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col0 {\n",
       "            background-color:  #b9d0f9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col1 {\n",
       "            background-color:  #93b5fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col2 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col3 {\n",
       "            background-color:  #90b2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col4 {\n",
       "            background-color:  #7ea1fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col5 {\n",
       "            background-color:  #c0d4f5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col6 {\n",
       "            background-color:  #9abbff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col7 {\n",
       "            background-color:  #97b8ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col8 {\n",
       "            background-color:  #e0dbd8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col9 {\n",
       "            background-color:  #e9d5cb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col10 {\n",
       "            background-color:  #7093f3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col11 {\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col12 {\n",
       "            background-color:  #d6dce4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col13 {\n",
       "            background-color:  #cfdaea;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col14 {\n",
       "            background-color:  #a5c3fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col15 {\n",
       "            background-color:  #9abbff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col16 {\n",
       "            background-color:  #f7b093;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col17 {\n",
       "            background-color:  #cfdaea;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col18 {\n",
       "            background-color:  #81a4fb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col0 {\n",
       "            background-color:  #f1ccb8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col1 {\n",
       "            background-color:  #f7b599;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col2 {\n",
       "            background-color:  #5b7ae5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col3 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col4 {\n",
       "            background-color:  #ecd3c5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col5 {\n",
       "            background-color:  #c6d6f1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col6 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col7 {\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col8 {\n",
       "            background-color:  #4961d2;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col9 {\n",
       "            background-color:  #6788ee;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col10 {\n",
       "            background-color:  #6788ee;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col11 {\n",
       "            background-color:  #6384eb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col12 {\n",
       "            background-color:  #7da0f9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col13 {\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col14 {\n",
       "            background-color:  #f6bda2;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col15 {\n",
       "            background-color:  #f7b599;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col16 {\n",
       "            background-color:  #4c66d6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col17 {\n",
       "            background-color:  #6c8ff1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col18 {\n",
       "            background-color:  #4e68d8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col0 {\n",
       "            background-color:  #b9d0f9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col1 {\n",
       "            background-color:  #ecd3c5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col2 {\n",
       "            background-color:  #3d50c3;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col3 {\n",
       "            background-color:  #e8d6cc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col4 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col5 {\n",
       "            background-color:  #a1c0ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col6 {\n",
       "            background-color:  #90b2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col7 {\n",
       "            background-color:  #94b6ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col8 {\n",
       "            background-color:  #5572df;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col9 {\n",
       "            background-color:  #5470de;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col10 {\n",
       "            background-color:  #a5c3fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col11 {\n",
       "            background-color:  #9bbcff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col12 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col13 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col14 {\n",
       "            background-color:  #d9dce1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col15 {\n",
       "            background-color:  #f0cdbb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col16 {\n",
       "            background-color:  #3c4ec2;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col17 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col18 {\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col0 {\n",
       "            background-color:  #c5d6f2;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col1 {\n",
       "            background-color:  #bbd1f8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col2 {\n",
       "            background-color:  #97b8ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col3 {\n",
       "            background-color:  #c6d6f1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col4 {\n",
       "            background-color:  #aac7fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col5 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col6 {\n",
       "            background-color:  #f7b497;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col7 {\n",
       "            background-color:  #f59d7e;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col8 {\n",
       "            background-color:  #799cf8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col9 {\n",
       "            background-color:  #a9c6fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col10 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col11 {\n",
       "            background-color:  #445acc;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col12 {\n",
       "            background-color:  #b6cefa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col13 {\n",
       "            background-color:  #bfd3f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col14 {\n",
       "            background-color:  #c5d6f2;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col15 {\n",
       "            background-color:  #bad0f8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col16 {\n",
       "            background-color:  #a1c0ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col17 {\n",
       "            background-color:  #c0d4f5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col18 {\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col0 {\n",
       "            background-color:  #c9d7f0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col1 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col2 {\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col3 {\n",
       "            background-color:  #c7d7f0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col4 {\n",
       "            background-color:  #b7cff9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col5 {\n",
       "            background-color:  #f7a688;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col6 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col7 {\n",
       "            background-color:  #f5c4ac;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col8 {\n",
       "            background-color:  #6c8ff1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col9 {\n",
       "            background-color:  #abc8fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col10 {\n",
       "            background-color:  #6a8bef;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col11 {\n",
       "            background-color:  #779af7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col12 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col13 {\n",
       "            background-color:  #b9d0f9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col14 {\n",
       "            background-color:  #c3d5f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col15 {\n",
       "            background-color:  #b3cdfb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col16 {\n",
       "            background-color:  #94b6ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col17 {\n",
       "            background-color:  #9fbfff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col18 {\n",
       "            background-color:  #5977e3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col0 {\n",
       "            background-color:  #c9d7f0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col1 {\n",
       "            background-color:  #b7cff9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col2 {\n",
       "            background-color:  #81a4fb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col3 {\n",
       "            background-color:  #bbd1f8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col4 {\n",
       "            background-color:  #b6cefa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col5 {\n",
       "            background-color:  #f29274;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col6 {\n",
       "            background-color:  #f4c6af;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col7 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col8 {\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col9 {\n",
       "            background-color:  #b6cefa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col10 {\n",
       "            background-color:  #5977e3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col11 {\n",
       "            background-color:  #6384eb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col12 {\n",
       "            background-color:  #b1cbfc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col13 {\n",
       "            background-color:  #b1cbfc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col14 {\n",
       "            background-color:  #cbd8ee;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col15 {\n",
       "            background-color:  #b9d0f9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col16 {\n",
       "            background-color:  #8db0fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col17 {\n",
       "            background-color:  #9ebeff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col18 {\n",
       "            background-color:  #779af7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col0 {\n",
       "            background-color:  #6687ed;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col1 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col2 {\n",
       "            background-color:  #bbd1f8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col3 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col4 {\n",
       "            background-color:  #536edd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col5 {\n",
       "            background-color:  #6b8df0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col6 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col7 {\n",
       "            background-color:  #5e7de7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col8 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col9 {\n",
       "            background-color:  #f08a6c;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col10 {\n",
       "            background-color:  #c0d4f5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col11 {\n",
       "            background-color:  #cad8ef;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col12 {\n",
       "            background-color:  #efcebd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col13 {\n",
       "            background-color:  #e5d8d1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col14 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col15 {\n",
       "            background-color:  #455cce;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col16 {\n",
       "            background-color:  #d6dce4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col17 {\n",
       "            background-color:  #cad8ef;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col18 {\n",
       "            background-color:  #7b9ff9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col0 {\n",
       "            background-color:  #9fbfff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col1 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col2 {\n",
       "            background-color:  #c3d5f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col3 {\n",
       "            background-color:  #506bda;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col4 {\n",
       "            background-color:  #485fd1;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col5 {\n",
       "            background-color:  #94b6ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col6 {\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col7 {\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col8 {\n",
       "            background-color:  #f18d6f;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col9 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col10 {\n",
       "            background-color:  #9dbdff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col11 {\n",
       "            background-color:  #afcafc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col12 {\n",
       "            background-color:  #f3c7b1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col13 {\n",
       "            background-color:  #f4c5ad;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col14 {\n",
       "            background-color:  #6f92f3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col15 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col16 {\n",
       "            background-color:  #dbdcde;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col17 {\n",
       "            background-color:  #eed0c0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col18 {\n",
       "            background-color:  #c0d4f5;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col0 {\n",
       "            background-color:  #3c4ec2;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col1 {\n",
       "            background-color:  #6384eb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col2 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col3 {\n",
       "            background-color:  #6788ee;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col4 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col5 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col6 {\n",
       "            background-color:  #455cce;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col7 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col8 {\n",
       "            background-color:  #c9d7f0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col9 {\n",
       "            background-color:  #afcafc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col10 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col11 {\n",
       "            background-color:  #be242e;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col12 {\n",
       "            background-color:  #90b2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col13 {\n",
       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col14 {\n",
       "            background-color:  #4961d2;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col15 {\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col16 {\n",
       "            background-color:  #455cce;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col17 {\n",
       "            background-color:  #4a63d3;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col18 {\n",
       "            background-color:  #3e51c5;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col0 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col1 {\n",
       "            background-color:  #506bda;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col2 {\n",
       "            background-color:  #485fd1;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col3 {\n",
       "            background-color:  #6282ea;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col4 {\n",
       "            background-color:  #a5c3fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col5 {\n",
       "            background-color:  #4358cb;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col6 {\n",
       "            background-color:  #516ddb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col7 {\n",
       "            background-color:  #4358cb;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col8 {\n",
       "            background-color:  #d1dae9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col9 {\n",
       "            background-color:  #bfd3f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col10 {\n",
       "            background-color:  #be242e;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col11 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col12 {\n",
       "            background-color:  #9ebeff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col13 {\n",
       "            background-color:  #9bbcff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col14 {\n",
       "            background-color:  #4055c8;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col15 {\n",
       "            background-color:  #6180e9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col16 {\n",
       "            background-color:  #5a78e4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col17 {\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col18 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col0 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col1 {\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col2 {\n",
       "            background-color:  #abc8fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col3 {\n",
       "            background-color:  #7295f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col4 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col5 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col6 {\n",
       "            background-color:  #86a9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col7 {\n",
       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col8 {\n",
       "            background-color:  #f0cdbb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col9 {\n",
       "            background-color:  #f5c2aa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col10 {\n",
       "            background-color:  #86a9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col11 {\n",
       "            background-color:  #96b7ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col12 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col13 {\n",
       "            background-color:  #f7a889;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col14 {\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col15 {\n",
       "            background-color:  #7b9ff9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col16 {\n",
       "            background-color:  #c1d4f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col17 {\n",
       "            background-color:  #cfdaea;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col18 {\n",
       "            background-color:  #5d7ce6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col0 {\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col1 {\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col2 {\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col3 {\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col4 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col5 {\n",
       "            background-color:  #b7cff9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col6 {\n",
       "            background-color:  #92b4fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col7 {\n",
       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col8 {\n",
       "            background-color:  #e6d7cf;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col9 {\n",
       "            background-color:  #f5c0a7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col10 {\n",
       "            background-color:  #84a7fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col11 {\n",
       "            background-color:  #92b4fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col12 {\n",
       "            background-color:  #f7a889;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col13 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col14 {\n",
       "            background-color:  #8caffe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col15 {\n",
       "            background-color:  #779af7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col16 {\n",
       "            background-color:  #bad0f8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col17 {\n",
       "            background-color:  #dadce0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col18 {\n",
       "            background-color:  #5673e0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col0 {\n",
       "            background-color:  #cc403a;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col1 {\n",
       "            background-color:  #cf453c;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col2 {\n",
       "            background-color:  #6b8df0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col3 {\n",
       "            background-color:  #f5c0a7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col4 {\n",
       "            background-color:  #dbdcde;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col5 {\n",
       "            background-color:  #c1d4f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col6 {\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col7 {\n",
       "            background-color:  #b1cbfc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col8 {\n",
       "            background-color:  #4055c8;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col9 {\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col10 {\n",
       "            background-color:  #4257c9;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col11 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col12 {\n",
       "            background-color:  #8db0fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col13 {\n",
       "            background-color:  #90b2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col14 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col15 {\n",
       "            background-color:  #d24b40;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col16 {\n",
       "            background-color:  #5d7ce6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col17 {\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col18 {\n",
       "            background-color:  #bad0f8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col0 {\n",
       "            background-color:  #ee8468;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col1 {\n",
       "            background-color:  #b70d28;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col2 {\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col3 {\n",
       "            background-color:  #f6bea4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col4 {\n",
       "            background-color:  #edd2c3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col5 {\n",
       "            background-color:  #a9c6fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col6 {\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col7 {\n",
       "            background-color:  #8caffe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col8 {\n",
       "            background-color:  #3c4ec2;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col9 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col10 {\n",
       "            background-color:  #5e7de7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col11 {\n",
       "            background-color:  #4a63d3;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col12 {\n",
       "            background-color:  #6f92f3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col13 {\n",
       "            background-color:  #6b8df0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col14 {\n",
       "            background-color:  #d55042;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col15 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col16 {\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col17 {\n",
       "            background-color:  #5572df;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col18 {\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col0 {\n",
       "            background-color:  #adc9fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col1 {\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col2 {\n",
       "            background-color:  #f7b497;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col3 {\n",
       "            background-color:  #799cf8;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col4 {\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col5 {\n",
       "            background-color:  #c1d4f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col6 {\n",
       "            background-color:  #9bbcff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col7 {\n",
       "            background-color:  #9bbcff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col8 {\n",
       "            background-color:  #edd1c2;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col9 {\n",
       "            background-color:  #f2cbb7;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col10 {\n",
       "            background-color:  #7295f4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col11 {\n",
       "            background-color:  #86a9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col12 {\n",
       "            background-color:  #dfdbd9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col13 {\n",
       "            background-color:  #dadce0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col14 {\n",
       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col15 {\n",
       "            background-color:  #7ea1fa;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col16 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col17 {\n",
       "            background-color:  #d6dce4;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col18 {\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col0 {\n",
       "            background-color:  #b3cdfb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col1 {\n",
       "            background-color:  #86a9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col2 {\n",
       "            background-color:  #bfd3f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col3 {\n",
       "            background-color:  #88abfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col4 {\n",
       "            background-color:  #6282ea;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col5 {\n",
       "            background-color:  #d1dae9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col6 {\n",
       "            background-color:  #98b9ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col7 {\n",
       "            background-color:  #9dbdff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col8 {\n",
       "            background-color:  #dedcdb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col9 {\n",
       "            background-color:  #f6bfa6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col10 {\n",
       "            background-color:  #6687ed;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col11 {\n",
       "            background-color:  #6c8ff1;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col12 {\n",
       "            background-color:  #e1dad6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col13 {\n",
       "            background-color:  #ead5c9;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col14 {\n",
       "            background-color:  #9fbfff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col15 {\n",
       "            background-color:  #88abfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col16 {\n",
       "            background-color:  #cdd9ec;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col17 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col18 {\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col0 {\n",
       "            background-color:  #edd2c3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col1 {\n",
       "            background-color:  #c4d5f3;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col2 {\n",
       "            background-color:  #96b7ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col3 {\n",
       "            background-color:  #98b9ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col4 {\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col5 {\n",
       "            background-color:  #9abbff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col6 {\n",
       "            background-color:  #81a4fb;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col7 {\n",
       "            background-color:  #a2c1ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col8 {\n",
       "            background-color:  #c5d6f2;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col9 {\n",
       "            background-color:  #eed0c0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col10 {\n",
       "            background-color:  #8badfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col11 {\n",
       "            background-color:  #88abfd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col12 {\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col13 {\n",
       "            background-color:  #a9c6fd;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col14 {\n",
       "            background-color:  #e6d7cf;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col15 {\n",
       "            background-color:  #c7d7f0;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col16 {\n",
       "            background-color:  #94b6ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col17 {\n",
       "            background-color:  #a2c1ff;\n",
       "            color:  #000000;\n",
       "        }    #T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col18 {\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "        }</style><table id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >TempLow</th>        <th class=\"col_heading level0 col1\" >TempHigh</th>        <th class=\"col_heading level0 col2\" >Rainfall</th>        <th class=\"col_heading level0 col3\" >Evaporation</th>        <th class=\"col_heading level0 col4\" >Sunshine</th>        <th class=\"col_heading level0 col5\" >WindGustSpeed</th>        <th class=\"col_heading level0 col6\" >WindSpeed9am</th>        <th class=\"col_heading level0 col7\" >WindSpeed3pm</th>        <th class=\"col_heading level0 col8\" >Humidity9am</th>        <th class=\"col_heading level0 col9\" >Humidity3pm</th>        <th class=\"col_heading level0 col10\" >Pressure9am</th>        <th class=\"col_heading level0 col11\" >Pressure3pm</th>        <th class=\"col_heading level0 col12\" >Cloud9am</th>        <th class=\"col_heading level0 col13\" >Cloud3pm</th>        <th class=\"col_heading level0 col14\" >Temp9am</th>        <th class=\"col_heading level0 col15\" >Temp3pm</th>        <th class=\"col_heading level0 col16\" >RainToday</th>        <th class=\"col_heading level0 col17\" >RainTomorrow</th>        <th class=\"col_heading level0 col18\" >Mean_Rainfall</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row0\" class=\"row_heading level0 row0\" >TempLow</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col1\" class=\"data row0 col1\" >0.74</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col2\" class=\"data row0 col2\" >0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col3\" class=\"data row0 col3\" >0.42</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col4\" class=\"data row0 col4\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col5\" class=\"data row0 col5\" >0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col6\" class=\"data row0 col6\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col7\" class=\"data row0 col7\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col8\" class=\"data row0 col8\" >-0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col9\" class=\"data row0 col9\" >-0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col10\" class=\"data row0 col10\" >-0.43</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col11\" class=\"data row0 col11\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col12\" class=\"data row0 col12\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col13\" class=\"data row0 col13\" >0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col14\" class=\"data row0 col14\" >0.90</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col15\" class=\"data row0 col15\" >0.71</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col16\" class=\"data row0 col16\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col17\" class=\"data row0 col17\" >0.08</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row0_col18\" class=\"data row0 col18\" >0.38</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row1\" class=\"row_heading level0 row1\" >TempHigh</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col0\" class=\"data row1 col0\" >0.74</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col2\" class=\"data row1 col2\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col3\" class=\"data row1 col3\" >0.51</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col4\" class=\"data row1 col4\" >0.34</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col6\" class=\"data row1 col6\" >0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col7\" class=\"data row1 col7\" >0.05</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col8\" class=\"data row1 col8\" >-0.51</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col9\" class=\"data row1 col9\" >-0.51</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col10\" class=\"data row1 col10\" >-0.31</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col11\" class=\"data row1 col11\" >-0.40</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col12\" class=\"data row1 col12\" >-0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col13\" class=\"data row1 col13\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col14\" class=\"data row1 col14\" >0.89</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col15\" class=\"data row1 col15\" >0.98</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col16\" class=\"data row1 col16\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col17\" class=\"data row1 col17\" >-0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row1_col18\" class=\"data row1 col18\" >0.11</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row2\" class=\"row_heading level0 row2\" >Rainfall</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col0\" class=\"data row2 col0\" >0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col1\" class=\"data row2 col1\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col3\" class=\"data row2 col3\" >-0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col4\" class=\"data row2 col4\" >-0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col5\" class=\"data row2 col5\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col6\" class=\"data row2 col6\" >0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col7\" class=\"data row2 col7\" >0.07</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col8\" class=\"data row2 col8\" >0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col9\" class=\"data row2 col9\" >0.30</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col10\" class=\"data row2 col10\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col11\" class=\"data row2 col11\" >-0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col12\" class=\"data row2 col12\" >0.21</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col13\" class=\"data row2 col13\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col14\" class=\"data row2 col14\" >-0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col15\" class=\"data row2 col15\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col16\" class=\"data row2 col16\" >0.62</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col17\" class=\"data row2 col17\" >0.28</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row2_col18\" class=\"data row2 col18\" >0.14</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row3\" class=\"row_heading level0 row3\" >Evaporation</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col0\" class=\"data row3 col0\" >0.42</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col1\" class=\"data row3 col1\" >0.51</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col2\" class=\"data row3 col2\" >-0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col4\" class=\"data row3 col4\" >0.35</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col5\" class=\"data row3 col5\" >0.17</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col6\" class=\"data row3 col6\" >0.17</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col7\" class=\"data row3 col7\" >0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col8\" class=\"data row3 col8\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col9\" class=\"data row3 col9\" >-0.34</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col10\" class=\"data row3 col10\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col11\" class=\"data row3 col11\" >-0.26</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col12\" class=\"data row3 col12\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col13\" class=\"data row3 col13\" >-0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col14\" class=\"data row3 col14\" >0.48</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col15\" class=\"data row3 col15\" >0.49</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col16\" class=\"data row3 col16\" >-0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col17\" class=\"data row3 col17\" >-0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row3_col18\" class=\"data row3 col18\" >-0.03</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row4\" class=\"row_heading level0 row4\" >Sunshine</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col0\" class=\"data row4 col0\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col1\" class=\"data row4 col1\" >0.34</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col2\" class=\"data row4 col2\" >-0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col3\" class=\"data row4 col3\" >0.35</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col5\" class=\"data row4 col5\" >0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col6\" class=\"data row4 col6\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col7\" class=\"data row4 col7\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col8\" class=\"data row4 col8\" >-0.37</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col9\" class=\"data row4 col9\" >-0.43</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col10\" class=\"data row4 col10\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col11\" class=\"data row4 col11\" >-0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col12\" class=\"data row4 col12\" >-0.49</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col13\" class=\"data row4 col13\" >-0.50</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col14\" class=\"data row4 col14\" >0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col15\" class=\"data row4 col15\" >0.36</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col16\" class=\"data row4 col16\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col17\" class=\"data row4 col17\" >-0.31</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row4_col18\" class=\"data row4 col18\" >-0.03</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row5\" class=\"row_heading level0 row5\" >WindGustSpeed</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col0\" class=\"data row5 col0\" >0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col1\" class=\"data row5 col1\" >0.07</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col2\" class=\"data row5 col2\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col3\" class=\"data row5 col3\" >0.17</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col4\" class=\"data row5 col4\" >0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col6\" class=\"data row5 col6\" >0.59</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col7\" class=\"data row5 col7\" >0.66</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col8\" class=\"data row5 col8\" >-0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col9\" class=\"data row5 col9\" >-0.05</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col10\" class=\"data row5 col10\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col11\" class=\"data row5 col11\" >-0.40</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col12\" class=\"data row5 col12\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col13\" class=\"data row5 col13\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col14\" class=\"data row5 col14\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col15\" class=\"data row5 col15\" >0.04</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col16\" class=\"data row5 col16\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col17\" class=\"data row5 col17\" >0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row5_col18\" class=\"data row5 col18\" >-0.02</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row6\" class=\"row_heading level0 row6\" >WindSpeed9am</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col0\" class=\"data row6 col0\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col1\" class=\"data row6 col1\" >0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col2\" class=\"data row6 col2\" >0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col3\" class=\"data row6 col3\" >0.17</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col4\" class=\"data row6 col4\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col5\" class=\"data row6 col5\" >0.59</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col7\" class=\"data row6 col7\" >0.52</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col8\" class=\"data row6 col8\" >-0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col9\" class=\"data row6 col9\" >-0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col10\" class=\"data row6 col10\" >-0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col11\" class=\"data row6 col11\" >-0.17</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col12\" class=\"data row6 col12\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col13\" class=\"data row6 col13\" >0.07</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col14\" class=\"data row6 col14\" >0.13</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col15\" class=\"data row6 col15\" >0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col16\" class=\"data row6 col16\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col17\" class=\"data row6 col17\" >0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row6_col18\" class=\"data row6 col18\" >0.01</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row7\" class=\"row_heading level0 row7\" >WindSpeed3pm</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col0\" class=\"data row7 col0\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col1\" class=\"data row7 col1\" >0.05</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col2\" class=\"data row7 col2\" >0.07</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col3\" class=\"data row7 col3\" >0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col4\" class=\"data row7 col4\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col5\" class=\"data row7 col5\" >0.66</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col6\" class=\"data row7 col6\" >0.52</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col8\" class=\"data row7 col8\" >-0.15</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col9\" class=\"data row7 col9\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col10\" class=\"data row7 col10\" >-0.29</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col11\" class=\"data row7 col11\" >-0.26</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col12\" class=\"data row7 col12\" >0.04</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col13\" class=\"data row7 col13\" >0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col14\" class=\"data row7 col14\" >0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col15\" class=\"data row7 col15\" >0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col16\" class=\"data row7 col16\" >0.08</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col17\" class=\"data row7 col17\" >0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row7_col18\" class=\"data row7 col18\" >0.11</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row8\" class=\"row_heading level0 row8\" >Humidity9am</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col0\" class=\"data row8 col0\" >-0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col1\" class=\"data row8 col1\" >-0.51</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col2\" class=\"data row8 col2\" >0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col3\" class=\"data row8 col3\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col4\" class=\"data row8 col4\" >-0.37</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col5\" class=\"data row8 col5\" >-0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col6\" class=\"data row8 col6\" >-0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col7\" class=\"data row8 col7\" >-0.15</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col8\" class=\"data row8 col8\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col9\" class=\"data row8 col9\" >0.67</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col10\" class=\"data row8 col10\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col11\" class=\"data row8 col11\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col12\" class=\"data row8 col12\" >0.38</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col13\" class=\"data row8 col13\" >0.30</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col14\" class=\"data row8 col14\" >-0.48</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col15\" class=\"data row8 col15\" >-0.50</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col16\" class=\"data row8 col16\" >0.35</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col17\" class=\"data row8 col17\" >0.26</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row8_col18\" class=\"data row8 col18\" >0.12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row9\" class=\"row_heading level0 row9\" >Humidity3pm</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col0\" class=\"data row9 col0\" >-0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col1\" class=\"data row9 col1\" >-0.51</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col2\" class=\"data row9 col2\" >0.30</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col3\" class=\"data row9 col3\" >-0.34</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col4\" class=\"data row9 col4\" >-0.43</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col5\" class=\"data row9 col5\" >-0.05</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col6\" class=\"data row9 col6\" >-0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col7\" class=\"data row9 col7\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col8\" class=\"data row9 col8\" >0.67</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col9\" class=\"data row9 col9\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col10\" class=\"data row9 col10\" >-0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col11\" class=\"data row9 col11\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col12\" class=\"data row9 col12\" >0.43</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col13\" class=\"data row9 col13\" >0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col14\" class=\"data row9 col14\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col15\" class=\"data row9 col15\" >-0.56</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col16\" class=\"data row9 col16\" >0.38</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col17\" class=\"data row9 col17\" >0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row9_col18\" class=\"data row9 col18\" >0.34</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row10\" class=\"row_heading level0 row10\" >Pressure9am</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col0\" class=\"data row10 col0\" >-0.43</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col1\" class=\"data row10 col1\" >-0.31</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col2\" class=\"data row10 col2\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col3\" class=\"data row10 col3\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col4\" class=\"data row10 col4\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col5\" class=\"data row10 col5\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col6\" class=\"data row10 col6\" >-0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col7\" class=\"data row10 col7\" >-0.29</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col8\" class=\"data row10 col8\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col9\" class=\"data row10 col9\" >-0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col10\" class=\"data row10 col10\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col11\" class=\"data row10 col11\" >0.96</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col12\" class=\"data row10 col12\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col13\" class=\"data row10 col13\" >-0.12</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col14\" class=\"data row10 col14\" >-0.40</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col15\" class=\"data row10 col15\" >-0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col16\" class=\"data row10 col16\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col17\" class=\"data row10 col17\" >-0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row10_col18\" class=\"data row10 col18\" >-0.09</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row11\" class=\"row_heading level0 row11\" >Pressure3pm</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col0\" class=\"data row11 col0\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col1\" class=\"data row11 col1\" >-0.40</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col2\" class=\"data row11 col2\" >-0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col3\" class=\"data row11 col3\" >-0.26</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col4\" class=\"data row11 col4\" >-0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col5\" class=\"data row11 col5\" >-0.40</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col6\" class=\"data row11 col6\" >-0.17</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col7\" class=\"data row11 col7\" >-0.26</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col8\" class=\"data row11 col8\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col9\" class=\"data row11 col9\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col10\" class=\"data row11 col10\" >0.96</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col11\" class=\"data row11 col11\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col12\" class=\"data row11 col12\" >-0.05</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col13\" class=\"data row11 col13\" >-0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col14\" class=\"data row11 col14\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col15\" class=\"data row11 col15\" >-0.37</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col16\" class=\"data row11 col16\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col17\" class=\"data row11 col17\" >-0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row11_col18\" class=\"data row11 col18\" >-0.10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row12\" class=\"row_heading level0 row12\" >Cloud9am</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col0\" class=\"data row12 col0\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col1\" class=\"data row12 col1\" >-0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col2\" class=\"data row12 col2\" >0.21</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col3\" class=\"data row12 col3\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col4\" class=\"data row12 col4\" >-0.49</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col6\" class=\"data row12 col6\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col7\" class=\"data row12 col7\" >0.04</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col8\" class=\"data row12 col8\" >0.38</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col9\" class=\"data row12 col9\" >0.43</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col10\" class=\"data row12 col10\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col11\" class=\"data row12 col11\" >-0.05</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col12\" class=\"data row12 col12\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col13\" class=\"data row12 col13\" >0.57</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col14\" class=\"data row12 col14\" >-0.12</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col15\" class=\"data row12 col15\" >-0.25</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col16\" class=\"data row12 col16\" >0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col17\" class=\"data row12 col17\" >0.28</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row12_col18\" class=\"data row12 col18\" >0.02</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row13\" class=\"row_heading level0 row13\" >Cloud3pm</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col0\" class=\"data row13 col0\" >0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col1\" class=\"data row13 col1\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col2\" class=\"data row13 col2\" >0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col3\" class=\"data row13 col3\" >-0.18</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col4\" class=\"data row13 col4\" >-0.50</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col6\" class=\"data row13 col6\" >0.07</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col7\" class=\"data row13 col7\" >0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col8\" class=\"data row13 col8\" >0.30</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col9\" class=\"data row13 col9\" >0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col10\" class=\"data row13 col10\" >-0.12</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col11\" class=\"data row13 col11\" >-0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col12\" class=\"data row13 col12\" >0.57</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col13\" class=\"data row13 col13\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col14\" class=\"data row13 col14\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col15\" class=\"data row13 col15\" >-0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col16\" class=\"data row13 col16\" >0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col17\" class=\"data row13 col17\" >0.33</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row13_col18\" class=\"data row13 col18\" >-0.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row14\" class=\"row_heading level0 row14\" >Temp9am</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col0\" class=\"data row14 col0\" >0.90</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col1\" class=\"data row14 col1\" >0.89</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col2\" class=\"data row14 col2\" >-0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col3\" class=\"data row14 col3\" >0.48</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col4\" class=\"data row14 col4\" >0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col5\" class=\"data row14 col5\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col6\" class=\"data row14 col6\" >0.13</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col7\" class=\"data row14 col7\" >0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col8\" class=\"data row14 col8\" >-0.48</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col9\" class=\"data row14 col9\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col10\" class=\"data row14 col10\" >-0.40</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col11\" class=\"data row14 col11\" >-0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col12\" class=\"data row14 col12\" >-0.12</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col13\" class=\"data row14 col13\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col14\" class=\"data row14 col14\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col15\" class=\"data row14 col15\" >0.86</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col16\" class=\"data row14 col16\" >-0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col17\" class=\"data row14 col17\" >-0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row14_col18\" class=\"data row14 col18\" >0.32</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row15\" class=\"row_heading level0 row15\" >Temp3pm</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col0\" class=\"data row15 col0\" >0.71</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col1\" class=\"data row15 col1\" >0.98</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col2\" class=\"data row15 col2\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col3\" class=\"data row15 col3\" >0.49</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col4\" class=\"data row15 col4\" >0.36</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col5\" class=\"data row15 col5\" >0.04</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col6\" class=\"data row15 col6\" >0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col7\" class=\"data row15 col7\" >0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col8\" class=\"data row15 col8\" >-0.50</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col9\" class=\"data row15 col9\" >-0.56</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col10\" class=\"data row15 col10\" >-0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col11\" class=\"data row15 col11\" >-0.37</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col12\" class=\"data row15 col12\" >-0.25</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col13\" class=\"data row15 col13\" >-0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col14\" class=\"data row15 col14\" >0.86</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col15\" class=\"data row15 col15\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col16\" class=\"data row15 col16\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col17\" class=\"data row15 col17\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row15_col18\" class=\"data row15 col18\" >0.10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row16\" class=\"row_heading level0 row16\" >RainToday</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col0\" class=\"data row16 col0\" >0.06</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col1\" class=\"data row16 col1\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col2\" class=\"data row16 col2\" >0.62</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col3\" class=\"data row16 col3\" >-0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col4\" class=\"data row16 col4\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col5\" class=\"data row16 col5\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col6\" class=\"data row16 col6\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col7\" class=\"data row16 col7\" >0.08</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col8\" class=\"data row16 col8\" >0.35</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col9\" class=\"data row16 col9\" >0.38</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col10\" class=\"data row16 col10\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col11\" class=\"data row16 col11\" >-0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col12\" class=\"data row16 col12\" >0.27</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col13\" class=\"data row16 col13\" >0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col14\" class=\"data row16 col14\" >-0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col15\" class=\"data row16 col15\" >-0.23</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col16\" class=\"data row16 col16\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col17\" class=\"data row16 col17\" >0.31</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row16_col18\" class=\"data row16 col18\" >0.10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row17\" class=\"row_heading level0 row17\" >RainTomorrow</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col0\" class=\"data row17 col0\" >0.08</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col1\" class=\"data row17 col1\" >-0.16</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col2\" class=\"data row17 col2\" >0.28</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col3\" class=\"data row17 col3\" >-0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col4\" class=\"data row17 col4\" >-0.31</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col5\" class=\"data row17 col5\" >0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col6\" class=\"data row17 col6\" >0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col7\" class=\"data row17 col7\" >0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col8\" class=\"data row17 col8\" >0.26</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col9\" class=\"data row17 col9\" >0.44</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col10\" class=\"data row17 col10\" >-0.24</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col11\" class=\"data row17 col11\" >-0.22</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col12\" class=\"data row17 col12\" >0.28</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col13\" class=\"data row17 col13\" >0.33</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col14\" class=\"data row17 col14\" >-0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col15\" class=\"data row17 col15\" >-0.19</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col16\" class=\"data row17 col16\" >0.31</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col17\" class=\"data row17 col17\" >1.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row17_col18\" class=\"data row17 col18\" >0.10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24level0_row18\" class=\"row_heading level0 row18\" >Mean_Rainfall</th>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col0\" class=\"data row18 col0\" >0.38</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col1\" class=\"data row18 col1\" >0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col2\" class=\"data row18 col2\" >0.14</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col3\" class=\"data row18 col3\" >-0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col4\" class=\"data row18 col4\" >-0.03</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col5\" class=\"data row18 col5\" >-0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col6\" class=\"data row18 col6\" >0.01</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col7\" class=\"data row18 col7\" >0.11</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col8\" class=\"data row18 col8\" >0.12</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col9\" class=\"data row18 col9\" >0.34</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col10\" class=\"data row18 col10\" >-0.09</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col11\" class=\"data row18 col11\" >-0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col12\" class=\"data row18 col12\" >0.02</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col13\" class=\"data row18 col13\" >-0.00</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col14\" class=\"data row18 col14\" >0.32</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col15\" class=\"data row18 col15\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col16\" class=\"data row18 col16\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col17\" class=\"data row18 col17\" >0.10</td>\n",
       "                        <td id=\"T_3bd103b4_a0fe_11ea_922d_34363bce5e24row18_col18\" class=\"data row18 col18\" >1.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1a3cba0810>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Function to create correlation matrix\n",
    "def corr_matrix(df):\n",
    "    corr = df.corr()\n",
    "    return corr.style.background_gradient(cmap='coolwarm').set_precision(2)\n",
    "\n",
    "corr_df = new_df.drop([\n",
    "    'Date', 'Location', 'Lat_Lon', 'WDGust_N', 'WDGust_NE', 'WDGust_NW',\n",
    "    'WDGust_S', 'WDGust_SE', 'WDGust_SW', 'WDGust_W', 'WD9am_N', 'WD9am_NE',\n",
    "    'WD9am_NW', 'WD9am_S', 'WD9am_SE', 'WD9am_SW', 'WD9am_W', 'WD3pm_N',\n",
    "    'WD3pm_NE', 'WD3pm_NW', 'WD3pm_S', 'WD3pm_SE', 'WD3pm_SW', 'WD3pm_W'], axis=1)\n",
    "corr_matrix(corr_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Unused Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# city_names = ['Adelaide','Albany','Albury','AliceSprings','BadgerysCreek',\n",
    "#               'Ballarat','Bendigo','Brisbane','Cairns','Canberra','Cobar','CoffsHarbour',\n",
    "#               'Dartmoor','Darwin','GoldCoast','Hobart','Katherine','Launceston','Melbourne',\n",
    "#               'MelbourneAirport','Mildura','Moree','MountGambier','MountGinini','Newcastle',\n",
    "#               'Nhil','NorahHead','NorfolkIsland','Nuriootpa','PearceRAAF','Penrith','Perth',\n",
    "#               'PerthAirport','Portland','Richmond','Sale','SalmonGums','Sydney','SydneyAirport',\n",
    "#               'Townsville','Tuggeranong','Uluru','WaggaWagga','Walpole','Watsonia','Williamtown',\n",
    "#               'Witchcliffe','Wollongong','Woomera']\n",
    "\n",
    "# lat_lon = [(-34.9281805, 138.5999312),(-35.0247822, 117.883608),(-36.0804766, 146.9162795),\n",
    "#            (-23.6983884, 133.8812885),(-35.8348792, 149.9957662),(-37.5622632, 143.8607215),\n",
    "#            (-36.7588767, 144.2825931),(-27.4689682, 153.0234991),(-16.9206657, 145.7721854),\n",
    "#            (-35.2975906, 149.1012676),(-31.4983333, 145.8344444),(-30.2962407, 153.1135293),\n",
    "#            (-37.9225444, 141.2766551),(-12.46044, 130.8410469),(-28.0023731, 153.4145987),\n",
    "#            (-42.8825088, 147.3281233),(-14.4642313, 132.2638568),(-41.4340813, 147.1373496),\n",
    "#            (-37.8142176, 144.9631608),(-37.667111000000006, 144.83348076679553),\n",
    "#            (-34.1847265, 142.1624972),(-29.4617202, 149.8407153),(-37.8246698, 140.7820067624113),\n",
    "#            (-35.5297196, 148.7726345),(-32.9272881, 151.7812534),(-35.4325283, 141.2833187),\n",
    "#            (-33.2816667, 151.5677778),(-29.0328038, 167.9483137),(-34.4693354, 138.9939006),\n",
    "#            (-31.6739604, 116.01754351808194),(-33.7510792, 150.6941684),(-31.9527121, 115.8604796),\n",
    "#            (-31.9431218, 115.9668059888865),(-38.363435, 141.6056055089348),\n",
    "#            (-37.80745, 144.99071757972087),(-38.106605, 147.06794525572298),\n",
    "#            (-32.9815347, 121.6439417),(-33.8548157, 151.2164539),(-33.9498935, 151.18196819346016),\n",
    "#            (-19.2569391, 146.8239537),(-35.4209771, 149.0921341),(-25.3455545, 131.03696147470208),\n",
    "#            (-35.115, 147.3677778),(-34.9776796, 116.7310063),(-37.7110022, 145.083635),\n",
    "#            (-32.815, 151.8427778),(-34.0263348, 115.1004768),(-34.4243941, 150.89385),\n",
    "#            (-31.1999142, 136.8253532)]\n",
    "\n",
    "# loc_dict = dict(zip(city_names, lat_lon))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Fill categorical NA values with the value from previous day\n",
    "# df['WindGustDir'].fillna(method = 'bfill', inplace=True)\n",
    "# df['WindDir9am'].fillna(method = 'bfill', inplace=True)\n",
    "# df['WindDir3pm'].fillna(method = 'bfill', inplace=True)\n",
    "# # df['RainToday'].fillna(method = 'bfill', inplace=True)\n",
    "\n",
    "# # Drop rows where rain today value is NA\n",
    "# df = df.dropna(subset=['RainToday'])\n",
    "# df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Fill continuous NA values with the median value\n",
    "# continuous_cols = ['TempLow', 'TempHigh', 'Rainfall', 'Evaporation', 'Sunshine',\n",
    "#                    'WindGustSpeed', 'WindSpeed9am', 'WindSpeed3pm', 'Humidity9am',\n",
    "#                    'Humidity3pm', 'Pressure9am', 'Pressure3pm', 'Cloud9am',\n",
    "#                    'Cloud3pm', 'Temp9am', 'Temp3pm']\n",
    "\n",
    "# for col in continuous_cols:\n",
    "#     col_median = df[col].median()\n",
    "#     df[col].fillna(col_median, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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