ETL.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dependencies\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sqlalchemy import create_engine\n",
    "\n",
    "import sqlalchemy\n",
    "from sqlalchemy.ext.automap import automap_base\n",
    "from sqlalchemy.orm import Session\n",
    "from sqlalchemy import inspect\n",
    "\n",
    "from sqlalchemy import Column, Float, Integer, String\n",
    "from sqlalchemy.ext.declarative import declarative_base\n",
    "Base = declarative_base()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import our data into pandas from CSV\n",
    "\n",
    "data_2021_path = 'static/data/SGU/2021.csv'\n",
    "data_2020_path = 'static/data/SGU/2020.csv'\n",
    "data_2019_path = 'static/data/SGU/2019.csv'\n",
    "data_2018_path = 'static/data/SGU/2018.csv'\n",
    "data_2017_path = 'static/data/SGU/2017.csv'\n",
    "data_2016_path = 'static/data/SGU/2016.csv'\n",
    "data_2015_path = 'static/data/SGU/2015.csv'\n",
    "data_2014_path = 'static/data/SGU/2014.csv'\n",
    "data_2013_path = 'static/data/SGU/2013.csv'\n",
    "data_2012_path = 'static/data/SGU/2012.csv'\n",
    "data_2011_path = 'static/data/SGU/2011.csv'\n",
    "data_2010_path = 'static/data/SGU/2010.csv'\n",
    "data_2009_path = 'static/data/SGU/2009.csv'\n",
    "data_2008_path = 'static/data/SGU/2008.csv'\n",
    "data_2007_path = 'static/data/SGU/2007.csv'\n",
    "data_2006_path = 'static/data/SGU/2006.csv'\n",
    "data_2005_path = 'static/data/SGU/2005.csv'\n",
    "data_2004_path = 'static/data/SGU/2004.csv'\n",
    "data_2003_path = 'static/data/SGU/2003.csv'\n",
    "data_2002_path = 'static/data/SGU/2002.csv'\n",
    "data_2001_path = 'static/data/SGU/2001.csv'\n",
    "\n",
    "sgu_2021_df = pd.read_csv(data_2021_path, low_memory=False)\n",
    "sgu_2020_df = pd.read_csv(data_2020_path, low_memory=False)\n",
    "sgu_2019_df = pd.read_csv(data_2019_path, low_memory=False)\n",
    "sgu_2018_df = pd.read_csv(data_2018_path, low_memory=False)\n",
    "sgu_2017_df = pd.read_csv(data_2017_path, low_memory=False)\n",
    "sgu_2016_df = pd.read_csv(data_2016_path, low_memory=False)\n",
    "sgu_2015_df = pd.read_csv(data_2015_path, low_memory=False)\n",
    "sgu_2014_df = pd.read_csv(data_2014_path, low_memory=False)\n",
    "sgu_2013_df = pd.read_csv(data_2013_path, low_memory=False)\n",
    "sgu_2012_df = pd.read_csv(data_2012_path, low_memory=False)\n",
    "sgu_2011_df = pd.read_csv(data_2011_path, low_memory=False)\n",
    "sgu_2010_df = pd.read_csv(data_2010_path, low_memory=False)\n",
    "sgu_2009_df = pd.read_csv(data_2009_path, low_memory=False)\n",
    "sgu_2008_df = pd.read_csv(data_2008_path, low_memory=False)\n",
    "sgu_2007_df = pd.read_csv(data_2007_path, low_memory=False)\n",
    "sgu_2006_df = pd.read_csv(data_2006_path, low_memory=False)\n",
    "sgu_2005_df = pd.read_csv(data_2005_path, low_memory=False)\n",
    "sgu_2004_df = pd.read_csv(data_2004_path, low_memory=False)\n",
    "sgu_2003_df = pd.read_csv(data_2003_path, low_memory=False)\n",
    "sgu_2002_df = pd.read_csv(data_2002_path, low_memory=False)\n",
    "sgu_2001_df = pd.read_csv(data_2001_path, low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Installation</th>\n",
       "      <th>Output</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>800</td>\n",
       "      <td>3</td>\n",
       "      <td>48.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>803</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2797</th>\n",
       "      <td>7469</td>\n",
       "      <td>2</td>\n",
       "      <td>13.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>7470</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>7802</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>8576</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>9729</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  Installation  Output\n",
       "0            0             0    0.00\n",
       "1          200             0    0.00\n",
       "2          800             3   48.49\n",
       "3          801             0    0.00\n",
       "4          803             0    0.00\n",
       "...        ...           ...     ...\n",
       "2797      7469             2   13.32\n",
       "2798      7470             0    0.00\n",
       "2799      7802             0    0.00\n",
       "2800      8576             0    0.00\n",
       "2801      9729             0    0.00\n",
       "\n",
       "[2802 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgu_2021_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "SGU_1_df = pd.merge(sgu_2001_df,sgu_2002_df, on = [\"Postcode\"],suffixes=('_2001', '_2002'), how = \"outer\")\n",
    "SGU_2_df = pd.merge(sgu_2003_df,sgu_2004_df, on = [\"Postcode\"],suffixes=('_2003', '_2004'), how = \"outer\")\n",
    "SGU_3_df = pd.merge(sgu_2005_df,sgu_2006_df, on = [\"Postcode\"],suffixes=('_2005', '_2006'), how = \"outer\")\n",
    "SGU_4_df = pd.merge(sgu_2007_df,sgu_2008_df, on = [\"Postcode\"],suffixes=('_2007', '_2008'), how = \"outer\")\n",
    "SGU_5_df = pd.merge(sgu_2009_df,sgu_2010_df, on = [\"Postcode\"],suffixes=('_2009', '_2010'), how = \"outer\")\n",
    "SGU_6_df = pd.merge(sgu_2011_df,sgu_2012_df, on = [\"Postcode\"],suffixes=('_2011', '_2012'), how = \"outer\")\n",
    "SGU_7_df = pd.merge(sgu_2013_df,sgu_2014_df, on = [\"Postcode\"],suffixes=('_2013', '_2014'), how = \"outer\")\n",
    "SGU_8_df = pd.merge(sgu_2015_df,sgu_2016_df, on = [\"Postcode\"],suffixes=('_2015', '_2016'), how = \"outer\")\n",
    "SGU_9_df = pd.merge(sgu_2017_df,sgu_2018_df, on = [\"Postcode\"],suffixes=('_2017', '_2018'), how = \"outer\")\n",
    "SGU_10_df = pd.merge(sgu_2019_df,sgu_2020_df, on = [\"Postcode\"],suffixes=('_2019', '_2020'), how = \"outer\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Output_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Output_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Output_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Output_2004</th>\n",
       "      <th>Installation_2005</th>\n",
       "      <th>...</th>\n",
       "      <th>Installation_2017</th>\n",
       "      <th>Output_2017</th>\n",
       "      <th>Installation_2018</th>\n",
       "      <th>Output_2018</th>\n",
       "      <th>Installation_2019</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Installation_2020</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Installation_2021</th>\n",
       "      <th>Output_2021</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.98</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
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       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>281.890</td>\n",
       "      <td>11.0</td>\n",
       "      <td>527.74</td>\n",
       "      <td>40.0</td>\n",
       "      <td>682.48</td>\n",
       "      <td>11</td>\n",
       "      <td>526.04</td>\n",
       "      <td>3</td>\n",
       "      <td>48.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24.840</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.86</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>803</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.565</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2797</th>\n",
       "      <td>2678</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>39.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>6219</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>19.83</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>6614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>1685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>6452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>6.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  Installation_2001  Output_2001  Installation_2002  \\\n",
       "0            0                0.0          0.0                2.0   \n",
       "1          200                0.0          0.0                0.0   \n",
       "2          800                0.0          0.0                0.0   \n",
       "3          801                0.0          0.0                0.0   \n",
       "4          803                0.0          0.0                0.0   \n",
       "...        ...                ...          ...                ...   \n",
       "2797      2678                NaN          NaN                NaN   \n",
       "2798      6219                NaN          NaN                NaN   \n",
       "2799      6614                NaN          NaN                NaN   \n",
       "2800      1685                NaN          NaN                NaN   \n",
       "2801      6452                NaN          NaN                NaN   \n",
       "\n",
       "      Output_2002  Installation_2003  Output_2003  Installation_2004  \\\n",
       "0            2.58                0.0          0.0                1.0   \n",
       "1            0.00                0.0          0.0                1.0   \n",
       "2            0.00                0.0          0.0                0.0   \n",
       "3            0.00                0.0          0.0                2.0   \n",
       "4            0.00                0.0          0.0                0.0   \n",
       "...           ...                ...          ...                ...   \n",
       "2797          NaN                NaN          NaN                NaN   \n",
       "2798          NaN                NaN          NaN                NaN   \n",
       "2799          NaN                NaN          NaN                NaN   \n",
       "2800          NaN                NaN          NaN                NaN   \n",
       "2801          NaN                NaN          NaN                NaN   \n",
       "\n",
       "      Output_2004  Installation_2005  ...  Installation_2017  Output_2017  \\\n",
       "0            0.98                1.0  ...                0.0        0.000   \n",
       "1            0.08                0.0  ...                0.0        0.000   \n",
       "2            0.00                1.0  ...                5.0      281.890   \n",
       "3            3.44                0.0  ...                1.0       24.840   \n",
       "4            0.00                0.0  ...                1.0        5.565   \n",
       "...           ...                ...  ...                ...          ...   \n",
       "2797          NaN                NaN  ...                0.0        0.000   \n",
       "2798          NaN                NaN  ...                0.0        0.000   \n",
       "2799          NaN                NaN  ...                0.0        0.000   \n",
       "2800          NaN                NaN  ...                NaN          NaN   \n",
       "2801          NaN                NaN  ...                NaN          NaN   \n",
       "\n",
       "      Installation_2018  Output_2018  Installation_2019  Output_2019  \\\n",
       "0                   0.0         0.00                0.0         0.00   \n",
       "1                   0.0         0.00                0.0         0.00   \n",
       "2                  11.0       527.74               40.0       682.48   \n",
       "3                   1.0        31.86                0.0         0.00   \n",
       "4                   0.0         0.00                0.0         0.00   \n",
       "...                 ...          ...                ...          ...   \n",
       "2797                0.0         0.00                0.0         0.00   \n",
       "2798                0.0         0.00                3.0        19.83   \n",
       "2799                0.0         0.00                1.0         6.60   \n",
       "2800                NaN          NaN                NaN          NaN   \n",
       "2801                NaN          NaN                NaN          NaN   \n",
       "\n",
       "      Installation_2020  Output_2020  Installation_2021  Output_2021  \n",
       "0                     0         0.00                  0         0.00  \n",
       "1                     0         0.00                  0         0.00  \n",
       "2                    11       526.04                  3        48.49  \n",
       "3                     1        99.99                  0         0.00  \n",
       "4                     0         0.00                  0         0.00  \n",
       "...                 ...          ...                ...          ...  \n",
       "2797                  1        39.60                  0         0.00  \n",
       "2798                  0         0.00                  0         0.00  \n",
       "2799                  0         0.00                  0         0.00  \n",
       "2800                  0         0.00                  1         4.80  \n",
       "2801                  0         0.00                  1         6.60  \n",
       "\n",
       "[2802 rows x 43 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SGU_12_df = pd.merge(SGU_1_df,SGU_2_df, on = [\"Postcode\"], how = \"outer\")\n",
    "SGU_34_df = pd.merge(SGU_3_df,SGU_4_df, on = [\"Postcode\"], how = \"outer\")\n",
    "SGU_56_df = pd.merge(SGU_5_df,SGU_6_df, on = [\"Postcode\"], how = \"outer\")\n",
    "SGU_78_df = pd.merge(SGU_7_df,SGU_8_df, on = [\"Postcode\"], how = \"outer\")\n",
    "SGU_910_df = pd.merge(SGU_9_df,SGU_10_df, on = [\"Postcode\"], how = \"outer\")\n",
    "\n",
    "SGU_1234_df = pd.merge(SGU_12_df,SGU_34_df, on = [\"Postcode\"], how = \"outer\")\n",
    "SGU_5678_df = pd.merge(SGU_56_df,SGU_78_df, on = [\"Postcode\"], how = \"outer\")\n",
    "SGU_91021_df = pd.merge(SGU_910_df,sgu_2021_df, on = [\"Postcode\"], how = \"outer\")\n",
    "\n",
    "SGU_12345678_df = pd.merge(SGU_1234_df,SGU_5678_df, on = [\"Postcode\"], how = \"outer\")\n",
    "\n",
    "combined_df = pd.merge(SGU_12345678_df,SGU_91021_df, on = [\"Postcode\"], how = \"outer\")\n",
    "combined_df = combined_df.rename (columns ={'Installation' :'Installation_2021',\n",
    "                             'Output' :'Output_2021'})\n",
    "combined_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>_2001</th>\n",
       "      <th>_2002</th>\n",
       "      <th>_2003</th>\n",
       "      <th>_2004</th>\n",
       "      <th>_2005</th>\n",
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       "      <th>_2007</th>\n",
       "      <th>_2008</th>\n",
       "      <th>_2009</th>\n",
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       "      <th>_2012</th>\n",
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       "      <th>_2014</th>\n",
       "      <th>_2015</th>\n",
       "      <th>_2016</th>\n",
       "      <th>_2017</th>\n",
       "      <th>_2018</th>\n",
       "      <th>_2019</th>\n",
       "      <th>_2020</th>\n",
       "      <th>_2021</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>200</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2797</th>\n",
       "      <td>2678</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>6219</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>6614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>1685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>6452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  _2001  _2002  _2003  _2004  _2005  _2006  _2007  _2008  _2009  \\\n",
       "0            0    0.0    2.0    0.0    1.0    1.0    0.0    0.0    0.0    0.0   \n",
       "1          200    0.0    0.0    0.0    1.0    0.0    0.0    0.0    0.0    0.0   \n",
       "2          800    0.0    0.0    0.0    0.0    1.0    0.0    2.0    4.0    0.0   \n",
       "3          801    0.0    0.0    0.0    2.0    0.0    0.0    0.0    0.0    0.0   \n",
       "4          803    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0   \n",
       "...        ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2797      2678    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2798      6219    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2799      6614    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2800      1685    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2801      6452    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "      ...  _2012  _2013  _2014  _2015  _2016  _2017  _2018  _2019  _2020  \\\n",
       "0     ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0      0   \n",
       "1     ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0      0   \n",
       "2     ...    2.0   12.0    6.0    4.0    6.0    5.0   11.0   40.0     11   \n",
       "3     ...    0.0    0.0    0.0    1.0    1.0    1.0    1.0    0.0      1   \n",
       "4     ...    0.0    0.0    0.0    1.0    0.0    1.0    0.0    0.0      0   \n",
       "...   ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2797  ...    NaN    NaN    NaN    NaN    NaN    0.0    0.0    0.0      1   \n",
       "2798  ...    NaN    NaN    NaN    NaN    NaN    0.0    0.0    3.0      0   \n",
       "2799  ...    NaN    NaN    NaN    NaN    NaN    0.0    0.0    1.0      0   \n",
       "2800  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN      0   \n",
       "2801  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN      0   \n",
       "\n",
       "      _2021  \n",
       "0         0  \n",
       "1         0  \n",
       "2         3  \n",
       "3         0  \n",
       "4         0  \n",
       "...     ...  \n",
       "2797      0  \n",
       "2798      0  \n",
       "2799      0  \n",
       "2800      1  \n",
       "2801      1  \n",
       "\n",
       "[2802 rows x 22 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Installation_df= pd.DataFrame({'Postcode':combined_df['Postcode'],\n",
    " '_2001':combined_df['Installation_2001'],\n",
    " '_2002':combined_df['Installation_2002'],\n",
    " '_2003':combined_df['Installation_2003'],\n",
    " '_2004':combined_df['Installation_2004'],\n",
    " '_2005':combined_df['Installation_2005'],\n",
    " '_2006':combined_df['Installation_2006'],\n",
    " '_2007':combined_df['Installation_2007'],\n",
    " '_2008':combined_df['Installation_2008'],\n",
    " '_2009':combined_df['Installation_2009'],\n",
    " '_2010':combined_df['Installation_2010'],\n",
    " '_2011':combined_df['Installation_2011'],\n",
    " '_2012':combined_df['Installation_2012'],\n",
    " '_2013':combined_df['Installation_2013'],\n",
    " '_2014':combined_df['Installation_2014'],\n",
    " '_2015':combined_df['Installation_2015'],\n",
    " '_2016':combined_df['Installation_2016'],\n",
    " '_2017':combined_df['Installation_2017'],\n",
    " '_2018':combined_df['Installation_2018'],\n",
    " '_2019':combined_df['Installation_2019'],\n",
    " '_2020':combined_df['Installation_2020'],\n",
    " '_2021':combined_df['Installation_2021']})\n",
    "Installation_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "</table>\n",
       "<p>2802 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  _2001  _2002  _2003  _2004  _2005  _2006  _2007  _2008  _2009  \\\n",
       "0            0    0.0    2.0    0.0    1.0    1.0    0.0    0.0    0.0    0.0   \n",
       "1          200    0.0    0.0    0.0    1.0    0.0    0.0    0.0    0.0    0.0   \n",
       "2          800    0.0    0.0    0.0    0.0    1.0    0.0    2.0    4.0    0.0   \n",
       "3          801    0.0    0.0    0.0    2.0    0.0    0.0    0.0    0.0    0.0   \n",
       "4          803    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0   \n",
       "...        ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2797      2678    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2798      6219    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2799      6614    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2800      1685    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2801      6452    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "      ...  _2014  _2015  _2016  _2017  _2018  _2019  _2020  _2021       AVG  \\\n",
       "0     ...    0.0    0.0    0.0    0.0    0.0    0.0      0      0  0.190476   \n",
       "1     ...    0.0    0.0    0.0    0.0    0.0    0.0      0      0  0.047619   \n",
       "2     ...    6.0    4.0    6.0    5.0   11.0   40.0     11      3  5.190476   \n",
       "3     ...    0.0    1.0    1.0    1.0    1.0    0.0      1      0  0.380952   \n",
       "4     ...    0.0    1.0    0.0    1.0    0.0    0.0      0      0  0.095238   \n",
       "...   ...    ...    ...    ...    ...    ...    ...    ...    ...       ...   \n",
       "2797  ...    NaN    NaN    NaN    0.0    0.0    0.0      1      0  0.200000   \n",
       "2798  ...    NaN    NaN    NaN    0.0    0.0    3.0      0      0  0.600000   \n",
       "2799  ...    NaN    NaN    NaN    0.0    0.0    1.0      0      0  0.200000   \n",
       "2800  ...    NaN    NaN    NaN    NaN    NaN    NaN      0      1  0.500000   \n",
       "2801  ...    NaN    NaN    NaN    NaN    NaN    NaN      0      1  0.500000   \n",
       "\n",
       "      Total  \n",
       "0       4.0  \n",
       "1       1.0  \n",
       "2     109.0  \n",
       "3       8.0  \n",
       "4       2.0  \n",
       "...     ...  \n",
       "2797    1.0  \n",
       "2798    3.0  \n",
       "2799    1.0  \n",
       "2800    1.0  \n",
       "2801    1.0  \n",
       "\n",
       "[2802 rows x 24 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Installation_df['AVG'] = Installation_df.iloc[:,1:22].mean(axis=1)\n",
    "Installation_df['Total'] = Installation_df.iloc[:,1:22].sum(axis=1)\n",
    "Installation_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2797</th>\n",
       "      <td>2678</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>39.60</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>6219</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>6614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>1685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>6452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  _2001  _2002  _2003  _2004  _2005  _2006  _2007  _2008  _2009  \\\n",
       "0            0    0.0   2.58    0.0   0.98   0.90    0.0    0.0   0.00    0.0   \n",
       "1          200    0.0   0.00    0.0   0.08   0.00    0.0    0.0   0.00    0.0   \n",
       "2          800    0.0   0.00    0.0   0.00   0.16    0.0   19.2  15.38    0.0   \n",
       "3          801    0.0   0.00    0.0   3.44   0.00    0.0    0.0   0.00    0.0   \n",
       "4          803    0.0   0.00    0.0   0.00   0.00    0.0    0.0   0.00    0.0   \n",
       "...        ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2797      2678    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2798      6219    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2799      6614    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2800      1685    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2801      6452    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "      ...   _2012  _2013   _2014   _2015    _2016    _2017   _2018   _2019  \\\n",
       "0     ...   0.000   0.00   0.000    0.00    0.000    0.000    0.00    0.00   \n",
       "1     ...   0.000   0.00   0.000    0.00    0.000    0.000    0.00    0.00   \n",
       "2     ...  58.005  48.33  41.045  133.49  208.070  281.890  527.74  682.48   \n",
       "3     ...   0.000   0.00   0.000    6.00   66.708   24.840   31.86    0.00   \n",
       "4     ...   0.000   0.00   0.000    6.12    0.000    5.565    0.00    0.00   \n",
       "...   ...     ...    ...     ...     ...      ...      ...     ...     ...   \n",
       "2797  ...     NaN    NaN     NaN     NaN      NaN    0.000    0.00    0.00   \n",
       "2798  ...     NaN    NaN     NaN     NaN      NaN    0.000    0.00   19.83   \n",
       "2799  ...     NaN    NaN     NaN     NaN      NaN    0.000    0.00    6.60   \n",
       "2800  ...     NaN    NaN     NaN     NaN      NaN      NaN     NaN     NaN   \n",
       "2801  ...     NaN    NaN     NaN     NaN      NaN      NaN     NaN     NaN   \n",
       "\n",
       "       _2020  _2021  \n",
       "0       0.00   0.00  \n",
       "1       0.00   0.00  \n",
       "2     526.04  48.49  \n",
       "3      99.99   0.00  \n",
       "4       0.00   0.00  \n",
       "...      ...    ...  \n",
       "2797   39.60   0.00  \n",
       "2798    0.00   0.00  \n",
       "2799    0.00   0.00  \n",
       "2800    0.00   4.80  \n",
       "2801    0.00   6.60  \n",
       "\n",
       "[2802 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Output_df= pd.DataFrame({'Postcode':combined_df['Postcode'],\n",
    " '_2001':combined_df['Output_2001'],\n",
    " '_2002':combined_df['Output_2002'],\n",
    " '_2003':combined_df['Output_2003'],\n",
    " '_2004':combined_df['Output_2004'],\n",
    " '_2005':combined_df['Output_2005'],\n",
    " '_2006':combined_df['Output_2006'],\n",
    " '_2007':combined_df['Output_2007'],\n",
    " '_2008':combined_df['Output_2008'],\n",
    " '_2009':combined_df['Output_2009'],\n",
    " '_2010':combined_df['Output_2010'],\n",
    " '_2011':combined_df['Output_2011'],\n",
    " '_2012':combined_df['Output_2012'],\n",
    " '_2013':combined_df['Output_2013'],\n",
    " '_2014':combined_df['Output_2014'],\n",
    " '_2015':combined_df['Output_2015'],\n",
    " '_2016':combined_df['Output_2016'],\n",
    " '_2017':combined_df['Output_2017'],\n",
    " '_2018':combined_df['Output_2018'],\n",
    " '_2019':combined_df['Output_2019'],\n",
    " '_2020':combined_df['Output_2020'],\n",
    " '_2021':combined_df['Output_2021']})\n",
    "Output_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>_2001</th>\n",
       "      <th>_2002</th>\n",
       "      <th>_2003</th>\n",
       "      <th>_2004</th>\n",
       "      <th>_2005</th>\n",
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       "      <th>_2018</th>\n",
       "      <th>_2019</th>\n",
       "      <th>_2020</th>\n",
       "      <th>_2021</th>\n",
       "      <th>AVG</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.000</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.212381</td>\n",
       "      <td>4.460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.003810</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.2</td>\n",
       "      <td>15.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41.045</td>\n",
       "      <td>133.49</td>\n",
       "      <td>208.070</td>\n",
       "      <td>281.890</td>\n",
       "      <td>527.74</td>\n",
       "      <td>682.48</td>\n",
       "      <td>526.04</td>\n",
       "      <td>48.49</td>\n",
       "      <td>123.599048</td>\n",
       "      <td>2595.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6.00</td>\n",
       "      <td>66.708</td>\n",
       "      <td>24.840</td>\n",
       "      <td>31.86</td>\n",
       "      <td>0.00</td>\n",
       "      <td>99.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.183714</td>\n",
       "      <td>234.858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>803</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6.12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.565</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.556429</td>\n",
       "      <td>11.685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2797</th>\n",
       "      <td>2678</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>39.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.920000</td>\n",
       "      <td>39.600</td>\n",
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       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>6219</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.966000</td>\n",
       "      <td>19.830</td>\n",
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       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>6614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>6.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>1685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.80</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>4.800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>6452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>6.600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  _2001  _2002  _2003  _2004  _2005  _2006  _2007  _2008  _2009  \\\n",
       "0            0    0.0   2.58    0.0   0.98   0.90    0.0    0.0   0.00    0.0   \n",
       "1          200    0.0   0.00    0.0   0.08   0.00    0.0    0.0   0.00    0.0   \n",
       "2          800    0.0   0.00    0.0   0.00   0.16    0.0   19.2  15.38    0.0   \n",
       "3          801    0.0   0.00    0.0   3.44   0.00    0.0    0.0   0.00    0.0   \n",
       "4          803    0.0   0.00    0.0   0.00   0.00    0.0    0.0   0.00    0.0   \n",
       "...        ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2797      2678    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2798      6219    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2799      6614    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2800      1685    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2801      6452    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "      ...   _2014   _2015    _2016    _2017   _2018   _2019   _2020  _2021  \\\n",
       "0     ...   0.000    0.00    0.000    0.000    0.00    0.00    0.00   0.00   \n",
       "1     ...   0.000    0.00    0.000    0.000    0.00    0.00    0.00   0.00   \n",
       "2     ...  41.045  133.49  208.070  281.890  527.74  682.48  526.04  48.49   \n",
       "3     ...   0.000    6.00   66.708   24.840   31.86    0.00   99.99   0.00   \n",
       "4     ...   0.000    6.12    0.000    5.565    0.00    0.00    0.00   0.00   \n",
       "...   ...     ...     ...      ...      ...     ...     ...     ...    ...   \n",
       "2797  ...     NaN     NaN      NaN    0.000    0.00    0.00   39.60   0.00   \n",
       "2798  ...     NaN     NaN      NaN    0.000    0.00   19.83    0.00   0.00   \n",
       "2799  ...     NaN     NaN      NaN    0.000    0.00    6.60    0.00   0.00   \n",
       "2800  ...     NaN     NaN      NaN      NaN     NaN     NaN    0.00   4.80   \n",
       "2801  ...     NaN     NaN      NaN      NaN     NaN     NaN    0.00   6.60   \n",
       "\n",
       "             AVG     Total  \n",
       "0       0.212381     4.460  \n",
       "1       0.003810     0.080  \n",
       "2     123.599048  2595.580  \n",
       "3      11.183714   234.858  \n",
       "4       0.556429    11.685  \n",
       "...          ...       ...  \n",
       "2797    7.920000    39.600  \n",
       "2798    3.966000    19.830  \n",
       "2799    1.320000     6.600  \n",
       "2800    2.400000     4.800  \n",
       "2801    3.300000     6.600  \n",
       "\n",
       "[2802 rows x 24 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Output_df['AVG'] = Output_df.iloc[:,1:22].mean(axis=1)\n",
    "Output_df['Total'] = Output_df.iloc[:,1:22].sum(axis=1)\n",
    "Output_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = pd.read_csv('static/data/rebate.csv')\n",
    "# df[['Postcode_from', 'Postcode_to']].astype('int64')\n",
    "\n",
    "\n",
    "# zone_list = []\n",
    "# rating_list = []\n",
    "# annual_prod = []\n",
    "# rebate = []\n",
    "\n",
    "# # Rebate amount is equal to number of certificates * rebate rate * years left in the program\n",
    "# # 1 MWh = 1 certificate. Rate of production dependent on zone\n",
    "# years_left = 10          \n",
    "# rebate_rate = 35    # $per certificate\n",
    "\n",
    "\n",
    "# def find_data(code):\n",
    "#     for index, row in df.iterrows():\n",
    "#             postcode = row['Postcode_to'].astype('int64')\n",
    "#             if (code <= postcode):\n",
    "#                 zone = row['Zone']\n",
    "#                 zone_list.append(zone)\n",
    "                \n",
    "#                 rating_list.append(row['Rating'])\n",
    "#                 if zone == 1:\n",
    "#                     annual_prod.append(10.7)\n",
    "#                     rebate.append(10.7 * years_left * rebate_rate)\n",
    "#                 elif zone ==2:\n",
    "#                     annual_prod.append(10.1)\n",
    "#                     rebate.append(10.1 * years_left * rebate_rate)\n",
    "#                 elif zone ==3:\n",
    "#                     annual_prod.append(9.1)\n",
    "#                     rebate.append(9.1 * years_left * rebate_rate)\n",
    "#                 elif zone ==4:\n",
    "#                     annual_prod.append(7.8)\n",
    "#                     rebate.append(7.8 * years_left * rebate_rate)\n",
    "                \n",
    "#                 break\n",
    "                \n",
    "\n",
    "# for index, row in rebate_df.iterrows():\n",
    "#     code = row['postcode']\n",
    "#     find_data(code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Create final rebate dataframe\n",
    "# rebate_df['zone'] = zone_list\n",
    "# rebate_df['rating'] = rating_list\n",
    "# rebate_df['annual_prod'] = annual_prod\n",
    "# rebate_df['rebate'] = rebate\n",
    "# rebate_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>postcode</th>\n",
       "      <th>zone</th>\n",
       "      <th>rating</th>\n",
       "      <th>annual_prod</th>\n",
       "      <th>rebate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>200</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>800</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>801</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>804</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>810</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3163</th>\n",
       "      <td>9010</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3164</th>\n",
       "      <td>9013</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3165</th>\n",
       "      <td>9015</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>9464</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3167</th>\n",
       "      <td>9726</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3168 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      postcode  zone  rating  annual_prod  rebate\n",
       "0          200   3.0   1.382          9.1  3185.0\n",
       "1          800   2.0   1.536         10.1  3535.0\n",
       "2          801   2.0   1.536         10.1  3535.0\n",
       "3          804   2.0   1.536         10.1  3535.0\n",
       "4          810   2.0   1.536         10.1  3535.0\n",
       "...        ...   ...     ...          ...     ...\n",
       "3163      9010   3.0   1.382          9.1  3185.0\n",
       "3164      9013   3.0   1.382          9.1  3185.0\n",
       "3165      9015   3.0   1.382          9.1  3185.0\n",
       "3166      9464   3.0   1.382          9.1  3185.0\n",
       "3167      9726   3.0   1.382          9.1  3185.0\n",
       "\n",
       "[3168 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rebate_df = pd.read_csv(\"static/data/rebate_df.csv\")\n",
    "rebate_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Taxable status</th>\n",
       "      <th>State/ Territory1</th>\n",
       "      <th>Number of individuals\\nno.</th>\n",
       "      <th>Taxable income or loss3\\nno.</th>\n",
       "      <th>Taxable income or loss3\\n$</th>\n",
       "      <th>Tax on taxable income\\nno.</th>\n",
       "      <th>Tax on taxable income\\n$</th>\n",
       "      <th>Medicare levy\\nno.</th>\n",
       "      <th>Medicare levy\\n$</th>\n",
       "      <th>Medicare levy surcharge\\nno.</th>\n",
       "      <th>...</th>\n",
       "      <th>Gross interest\\n$</th>\n",
       "      <th>Dividends unfranked\\nno.</th>\n",
       "      <th>Dividends unfranked\\n$</th>\n",
       "      <th>Dividends franked\\nno.</th>\n",
       "      <th>Dividends franked\\n$</th>\n",
       "      <th>Dividends franking credit\\nno.</th>\n",
       "      <th>Dividends franking credit\\n$</th>\n",
       "      <th>Total Income or Loss3\\nno.</th>\n",
       "      <th>Total Income or Loss3\\n$</th>\n",
       "      <th>Postcode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Non Taxable</td>\n",
       "      <td>ACT</td>\n",
       "      <td>1,023</td>\n",
       "      <td>991</td>\n",
       "      <td>11,112,598</td>\n",
       "      <td>277</td>\n",
       "      <td>509,577</td>\n",
       "      <td>9</td>\n",
       "      <td>15,090</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1,340,572</td>\n",
       "      <td>119</td>\n",
       "      <td>56,457</td>\n",
       "      <td>342</td>\n",
       "      <td>1,226,487</td>\n",
       "      <td>341</td>\n",
       "      <td>522,350</td>\n",
       "      <td>1,002</td>\n",
       "      <td>12,656,277</td>\n",
       "      <td>2600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Non Taxable</td>\n",
       "      <td>ACT</td>\n",
       "      <td>971</td>\n",
       "      <td>924</td>\n",
       "      <td>8,433,619</td>\n",
       "      <td>126</td>\n",
       "      <td>127,817</td>\n",
       "      <td>5</td>\n",
       "      <td>4,506</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>384,963</td>\n",
       "      <td>27</td>\n",
       "      <td>20,004</td>\n",
       "      <td>70</td>\n",
       "      <td>159,286</td>\n",
       "      <td>70</td>\n",
       "      <td>67,916</td>\n",
       "      <td>924</td>\n",
       "      <td>8,826,706</td>\n",
       "      <td>2601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Non Taxable</td>\n",
       "      <td>ACT</td>\n",
       "      <td>4,034</td>\n",
       "      <td>3,904</td>\n",
       "      <td>47,209,582</td>\n",
       "      <td>953</td>\n",
       "      <td>1,116,312</td>\n",
       "      <td>15</td>\n",
       "      <td>11,475</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2,682,890</td>\n",
       "      <td>282</td>\n",
       "      <td>113,053</td>\n",
       "      <td>862</td>\n",
       "      <td>1,700,107</td>\n",
       "      <td>861</td>\n",
       "      <td>724,882</td>\n",
       "      <td>3,912</td>\n",
       "      <td>50,054,366</td>\n",
       "      <td>2602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Non Taxable</td>\n",
       "      <td>ACT</td>\n",
       "      <td>1,033</td>\n",
       "      <td>983</td>\n",
       "      <td>11,225,453</td>\n",
       "      <td>251</td>\n",
       "      <td>303,684</td>\n",
       "      <td>6</td>\n",
       "      <td>3,579</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1,302,103</td>\n",
       "      <td>91</td>\n",
       "      <td>29,431</td>\n",
       "      <td>301</td>\n",
       "      <td>909,047</td>\n",
       "      <td>300</td>\n",
       "      <td>389,065</td>\n",
       "      <td>997</td>\n",
       "      <td>13,385,732</td>\n",
       "      <td>2603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Non Taxable</td>\n",
       "      <td>ACT</td>\n",
       "      <td>1,188</td>\n",
       "      <td>1,135</td>\n",
       "      <td>14,090,650</td>\n",
       "      <td>297</td>\n",
       "      <td>498,559</td>\n",
       "      <td>12</td>\n",
       "      <td>11,683</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>890,118</td>\n",
       "      <td>89</td>\n",
       "      <td>33,409</td>\n",
       "      <td>295</td>\n",
       "      <td>493,955</td>\n",
       "      <td>294</td>\n",
       "      <td>211,243</td>\n",
       "      <td>1,152</td>\n",
       "      <td>15,200,174</td>\n",
       "      <td>2604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5380</th>\n",
       "      <td>Taxable</td>\n",
       "      <td>WA</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>5,168,088</td>\n",
       "      <td>50</td>\n",
       "      <td>1,426,362</td>\n",
       "      <td>44</td>\n",
       "      <td>99,226</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>36,546</td>\n",
       "      <td>2</td>\n",
       "      <td>436</td>\n",
       "      <td>10</td>\n",
       "      <td>83,085</td>\n",
       "      <td>10</td>\n",
       "      <td>35,439</td>\n",
       "      <td>50</td>\n",
       "      <td>5,352,038</td>\n",
       "      <td>6964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5381</th>\n",
       "      <td>Taxable</td>\n",
       "      <td>WA</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>12,857,689</td>\n",
       "      <td>56</td>\n",
       "      <td>4,775,265</td>\n",
       "      <td>48</td>\n",
       "      <td>253,501</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>28,207</td>\n",
       "      <td>10</td>\n",
       "      <td>17,190</td>\n",
       "      <td>15</td>\n",
       "      <td>132,719</td>\n",
       "      <td>15</td>\n",
       "      <td>54,861</td>\n",
       "      <td>56</td>\n",
       "      <td>13,077,112</td>\n",
       "      <td>6979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5382</th>\n",
       "      <td>Taxable</td>\n",
       "      <td>WA</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>6,262,209</td>\n",
       "      <td>68</td>\n",
       "      <td>1,586,421</td>\n",
       "      <td>67</td>\n",
       "      <td>122,884</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>40,529</td>\n",
       "      <td>6</td>\n",
       "      <td>2,238</td>\n",
       "      <td>13</td>\n",
       "      <td>60,175</td>\n",
       "      <td>13</td>\n",
       "      <td>24,521</td>\n",
       "      <td>68</td>\n",
       "      <td>6,550,762</td>\n",
       "      <td>6981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5383</th>\n",
       "      <td>Taxable</td>\n",
       "      <td>WA</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>4,581,968</td>\n",
       "      <td>44</td>\n",
       "      <td>1,302,007</td>\n",
       "      <td>41</td>\n",
       "      <td>89,932</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>80,759</td>\n",
       "      <td>4</td>\n",
       "      <td>1,081</td>\n",
       "      <td>11</td>\n",
       "      <td>982,891</td>\n",
       "      <td>11</td>\n",
       "      <td>373,798</td>\n",
       "      <td>44</td>\n",
       "      <td>4,729,090</td>\n",
       "      <td>6984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5384</th>\n",
       "      <td>Taxable</td>\n",
       "      <td>WA</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>5,080,371</td>\n",
       "      <td>53</td>\n",
       "      <td>1,276,852</td>\n",
       "      <td>53</td>\n",
       "      <td>101,269</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>17,508</td>\n",
       "      <td>5</td>\n",
       "      <td>628</td>\n",
       "      <td>18</td>\n",
       "      <td>83,178</td>\n",
       "      <td>18</td>\n",
       "      <td>34,335</td>\n",
       "      <td>53</td>\n",
       "      <td>5,263,513</td>\n",
       "      <td>6985</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5366 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Taxable status State/ Territory1 Number of individuals\\nno.  \\\n",
       "0       Non Taxable               ACT                      1,023   \n",
       "1       Non Taxable               ACT                        971   \n",
       "2       Non Taxable               ACT                      4,034   \n",
       "3       Non Taxable               ACT                      1,033   \n",
       "4       Non Taxable               ACT                      1,188   \n",
       "...             ...               ...                        ...   \n",
       "5380        Taxable                WA                         50   \n",
       "5381        Taxable                WA                         56   \n",
       "5382        Taxable                WA                         68   \n",
       "5383        Taxable                WA                         44   \n",
       "5384        Taxable                WA                         53   \n",
       "\n",
       "     Taxable income or loss3\\nno. Taxable income or loss3\\n$  \\\n",
       "0                             991                 11,112,598   \n",
       "1                             924                  8,433,619   \n",
       "2                           3,904                 47,209,582   \n",
       "3                             983                 11,225,453   \n",
       "4                           1,135                 14,090,650   \n",
       "...                           ...                        ...   \n",
       "5380                           50                  5,168,088   \n",
       "5381                           56                 12,857,689   \n",
       "5382                           68                  6,262,209   \n",
       "5383                           44                  4,581,968   \n",
       "5384                           53                  5,080,371   \n",
       "\n",
       "     Tax on taxable income\\nno. Tax on taxable income\\n$ Medicare levy\\nno.  \\\n",
       "0                           277                  509,577                  9   \n",
       "1                           126                  127,817                  5   \n",
       "2                           953                1,116,312                 15   \n",
       "3                           251                  303,684                  6   \n",
       "4                           297                  498,559                 12   \n",
       "...                         ...                      ...                ...   \n",
       "5380                         50                1,426,362                 44   \n",
       "5381                         56                4,775,265                 48   \n",
       "5382                         68                1,586,421                 67   \n",
       "5383                         44                1,302,007                 41   \n",
       "5384                         53                1,276,852                 53   \n",
       "\n",
       "     Medicare levy\\n$ Medicare levy surcharge\\nno.  ... Gross interest\\n$  \\\n",
       "0              15,090                            1  ...         1,340,572   \n",
       "1               4,506                            0  ...           384,963   \n",
       "2              11,475                            0  ...         2,682,890   \n",
       "3               3,579                            0  ...         1,302,103   \n",
       "4              11,683                            2  ...           890,118   \n",
       "...               ...                          ...  ...               ...   \n",
       "5380           99,226                            0  ...            36,546   \n",
       "5381          253,501                            4  ...            28,207   \n",
       "5382          122,884                            1  ...            40,529   \n",
       "5383           89,932                            0  ...            80,759   \n",
       "5384          101,269                            2  ...            17,508   \n",
       "\n",
       "     Dividends unfranked\\nno. Dividends unfranked\\n$ Dividends franked\\nno.  \\\n",
       "0                         119                 56,457                    342   \n",
       "1                          27                 20,004                     70   \n",
       "2                         282                113,053                    862   \n",
       "3                          91                 29,431                    301   \n",
       "4                          89                 33,409                    295   \n",
       "...                       ...                    ...                    ...   \n",
       "5380                        2                    436                     10   \n",
       "5381                       10                 17,190                     15   \n",
       "5382                        6                  2,238                     13   \n",
       "5383                        4                  1,081                     11   \n",
       "5384                        5                    628                     18   \n",
       "\n",
       "     Dividends franked\\n$ Dividends franking credit\\nno.  \\\n",
       "0               1,226,487                            341   \n",
       "1                 159,286                             70   \n",
       "2               1,700,107                            861   \n",
       "3                 909,047                            300   \n",
       "4                 493,955                            294   \n",
       "...                   ...                            ...   \n",
       "5380               83,085                             10   \n",
       "5381              132,719                             15   \n",
       "5382               60,175                             13   \n",
       "5383              982,891                             11   \n",
       "5384               83,178                             18   \n",
       "\n",
       "     Dividends franking credit\\n$ Total Income or Loss3\\nno.  \\\n",
       "0                         522,350                      1,002   \n",
       "1                          67,916                        924   \n",
       "2                         724,882                      3,912   \n",
       "3                         389,065                        997   \n",
       "4                         211,243                      1,152   \n",
       "...                           ...                        ...   \n",
       "5380                       35,439                         50   \n",
       "5381                       54,861                         56   \n",
       "5382                       24,521                         68   \n",
       "5383                      373,798                         44   \n",
       "5384                       34,335                         53   \n",
       "\n",
       "     Total Income or Loss3\\n$ Postcode  \n",
       "0                  12,656,277     2600  \n",
       "1                   8,826,706     2601  \n",
       "2                  50,054,366     2602  \n",
       "3                  13,385,732     2603  \n",
       "4                  15,200,174     2604  \n",
       "...                       ...      ...  \n",
       "5380                5,352,038     6964  \n",
       "5381               13,077,112     6979  \n",
       "5382                6,550,762     6981  \n",
       "5383                4,729,090     6984  \n",
       "5384                5,263,513     6985  \n",
       "\n",
       "[5366 rows x 46 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"static/data/Income.csv\")\n",
    "\n",
    "# Remove all non-numeric and Nan values from the postcode column\n",
    "postcodes = df['Postcode'].apply(pd.to_numeric, errors='coerce')\n",
    "df = df.drop('Postcode', axis=1).join(postcodes)\n",
    "df.dropna(axis=0, subset={'Postcode'}, inplace=True )\n",
    "\n",
    "# Convert postcode to integer\n",
    "df['Postcode'] = df['Postcode'].astype('int64')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        12371.727273\n",
       "1         9090.325438\n",
       "2        12408.122459\n",
       "3        12958.114230\n",
       "4        12794.759259\n",
       "            ...      \n",
       "5380    107040.760000\n",
       "5381    233519.857143\n",
       "5382     96334.735294\n",
       "5383    107479.318182\n",
       "5384     99311.566038\n",
       "Name: Average_total, Length: 5366, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove the commas from the income values\n",
    "df = df.replace(',','', regex=True)\n",
    "\n",
    "# Convert income values from string to integer\n",
    "df[['Total Income or Loss3\\n$', 'Number of individuals\\nno.', 'Salary or wages\\n$']] = df[['Total Income or Loss3\\n$', 'Number of individuals\\nno.', 'Salary or wages\\n$']].astype('int64')\n",
    "\n",
    "# Add average income column (income / number of individuals)\n",
    "df['Average_total'] = df['Total Income or Loss3\\n$']/ df['Number of individuals\\nno.']\n",
    "df['Average_salary'] = df['Salary or wages\\n$']/ df['Number of individuals\\nno.']\n",
    "df['Average_total']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Average_total</th>\n",
       "      <th>Average_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>800</td>\n",
       "      <td>98643</td>\n",
       "      <td>88445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>801</td>\n",
       "      <td>120690</td>\n",
       "      <td>85064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>804</td>\n",
       "      <td>108716</td>\n",
       "      <td>89647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>810</td>\n",
       "      <td>94079</td>\n",
       "      <td>78351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>811</td>\n",
       "      <td>119181</td>\n",
       "      <td>90769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2678</th>\n",
       "      <td>7468</td>\n",
       "      <td>81527</td>\n",
       "      <td>61077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2679</th>\n",
       "      <td>7469</td>\n",
       "      <td>124341</td>\n",
       "      <td>70848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2680</th>\n",
       "      <td>7470</td>\n",
       "      <td>105301</td>\n",
       "      <td>90135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2681</th>\n",
       "      <td>8007</td>\n",
       "      <td>147200</td>\n",
       "      <td>105617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2682</th>\n",
       "      <td>9726</td>\n",
       "      <td>36971</td>\n",
       "      <td>25033</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2683 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  Average_total  Average_salary\n",
       "0          800          98643           88445\n",
       "1          801         120690           85064\n",
       "2          804         108716           89647\n",
       "3          810          94079           78351\n",
       "4          811         119181           90769\n",
       "...        ...            ...             ...\n",
       "2678      7468          81527           61077\n",
       "2679      7469         124341           70848\n",
       "2680      7470         105301           90135\n",
       "2681      8007         147200          105617\n",
       "2682      9726          36971           25033\n",
       "\n",
       "[2683 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Seperate out the taxable and non-taxable income\n",
    "taxable = df[df['Taxable status'] == 'Taxable']\n",
    "non_taxable = df[df['Taxable status'] == 'Non Taxable']\n",
    "\n",
    "# Concatenate the two dataframes and then, add the two together, grouped by postcode\n",
    "total = pd.concat([taxable, non_taxable]).groupby('Postcode', as_index=False)[[\"Average_total\", 'Average_salary']].sum()\n",
    "\n",
    "# Fix the formatting and datatypes\n",
    "total['Average_total'].round(0)\n",
    "income_df = total.astype('int64')\n",
    "income_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>postcode</th>\n",
       "      <th>installations</th>\n",
       "      <th>output</th>\n",
       "      <th>suburb_id</th>\n",
       "      <th>suburb</th>\n",
       "      <th>state</th>\n",
       "      <th>long</th>\n",
       "      <th>lat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>200</td>\n",
       "      <td>1</td>\n",
       "      <td>0.080</td>\n",
       "      <td>230</td>\n",
       "      <td>ANU</td>\n",
       "      <td>ACT</td>\n",
       "      <td>149.119000</td>\n",
       "      <td>-35.277700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>200</td>\n",
       "      <td>1</td>\n",
       "      <td>0.080</td>\n",
       "      <td>21820</td>\n",
       "      <td>Australian National University</td>\n",
       "      <td>ACT</td>\n",
       "      <td>149.118900</td>\n",
       "      <td>-35.277700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>800</td>\n",
       "      <td>109</td>\n",
       "      <td>2595.580</td>\n",
       "      <td>232</td>\n",
       "      <td>DARWIN</td>\n",
       "      <td>NT</td>\n",
       "      <td>130.836680</td>\n",
       "      <td>-12.458684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
       "      <td>8</td>\n",
       "      <td>234.858</td>\n",
       "      <td>233</td>\n",
       "      <td>DARWIN</td>\n",
       "      <td>NT</td>\n",
       "      <td>130.836680</td>\n",
       "      <td>-12.458684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>804</td>\n",
       "      <td>15</td>\n",
       "      <td>78.310</td>\n",
       "      <td>234</td>\n",
       "      <td>PARAP</td>\n",
       "      <td>NT</td>\n",
       "      <td>130.873315</td>\n",
       "      <td>-12.428017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17863</th>\n",
       "      <td>7469</td>\n",
       "      <td>37</td>\n",
       "      <td>138.765</td>\n",
       "      <td>11238</td>\n",
       "      <td>GRANVILLE HARBOUR</td>\n",
       "      <td>TAS</td>\n",
       "      <td>145.201632</td>\n",
       "      <td>-41.784391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17864</th>\n",
       "      <td>7469</td>\n",
       "      <td>37</td>\n",
       "      <td>138.765</td>\n",
       "      <td>11239</td>\n",
       "      <td>RENISON BELL</td>\n",
       "      <td>TAS</td>\n",
       "      <td>145.201632</td>\n",
       "      <td>-41.784391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17865</th>\n",
       "      <td>7469</td>\n",
       "      <td>37</td>\n",
       "      <td>138.765</td>\n",
       "      <td>11240</td>\n",
       "      <td>TRIAL HARBOUR</td>\n",
       "      <td>TAS</td>\n",
       "      <td>145.201632</td>\n",
       "      <td>-41.784391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17866</th>\n",
       "      <td>7469</td>\n",
       "      <td>37</td>\n",
       "      <td>138.765</td>\n",
       "      <td>11241</td>\n",
       "      <td>ZEEHAN</td>\n",
       "      <td>TAS</td>\n",
       "      <td>145.201632</td>\n",
       "      <td>-41.784391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17867</th>\n",
       "      <td>7470</td>\n",
       "      <td>43</td>\n",
       "      <td>193.257</td>\n",
       "      <td>11242</td>\n",
       "      <td>ROSEBERY</td>\n",
       "      <td>TAS</td>\n",
       "      <td>145.500566</td>\n",
       "      <td>-41.902129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17868 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       postcode  installations    output  suburb_id  \\\n",
       "0           200              1     0.080        230   \n",
       "1           200              1     0.080      21820   \n",
       "2           800            109  2595.580        232   \n",
       "3           801              8   234.858        233   \n",
       "4           804             15    78.310        234   \n",
       "...         ...            ...       ...        ...   \n",
       "17863      7469             37   138.765      11238   \n",
       "17864      7469             37   138.765      11239   \n",
       "17865      7469             37   138.765      11240   \n",
       "17866      7469             37   138.765      11241   \n",
       "17867      7470             43   193.257      11242   \n",
       "\n",
       "                               suburb state        long        lat  \n",
       "0                                 ANU   ACT  149.119000 -35.277700  \n",
       "1      Australian National University   ACT  149.118900 -35.277700  \n",
       "2                              DARWIN    NT  130.836680 -12.458684  \n",
       "3                              DARWIN    NT  130.836680 -12.458684  \n",
       "4                               PARAP    NT  130.873315 -12.428017  \n",
       "...                               ...   ...         ...        ...  \n",
       "17863               GRANVILLE HARBOUR   TAS  145.201632 -41.784391  \n",
       "17864                    RENISON BELL   TAS  145.201632 -41.784391  \n",
       "17865                   TRIAL HARBOUR   TAS  145.201632 -41.784391  \n",
       "17866                          ZEEHAN   TAS  145.201632 -41.784391  \n",
       "17867                        ROSEBERY   TAS  145.500566 -41.902129  \n",
       "\n",
       "[17868 rows x 8 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suburb_df = pd.read_csv(\"static/data/energy1.csv\", low_memory=False)\n",
    "suburb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
       "      <th>Installation_2006</th>\n",
       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>...</th>\n",
       "      <th>Output_2012</th>\n",
       "      <th>Output_2013</th>\n",
       "      <th>Output_2014</th>\n",
       "      <th>Output_2015</th>\n",
       "      <th>Output_2016</th>\n",
       "      <th>Output_2017</th>\n",
       "      <th>Output_2018</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Output_2021</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>800</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>58.005</td>\n",
       "      <td>48.33</td>\n",
       "      <td>41.045</td>\n",
       "      <td>133.49</td>\n",
       "      <td>208.070</td>\n",
       "      <td>281.890</td>\n",
       "      <td>527.74</td>\n",
       "      <td>682.48</td>\n",
       "      <td>526.04</td>\n",
       "      <td>48.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>99.99</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>0.000</td>\n",
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       "      <th>2797</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>39.60</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>6219</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>6614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>1685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>6452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Postcode  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0            0                0.0                2.0                0.0   \n",
       "1          200                0.0                0.0                0.0   \n",
       "2          800                0.0                0.0                0.0   \n",
       "3          801                0.0                0.0                0.0   \n",
       "4          803                0.0                0.0                0.0   \n",
       "...        ...                ...                ...                ...   \n",
       "2797      2678                NaN                NaN                NaN   \n",
       "2798      6219                NaN                NaN                NaN   \n",
       "2799      6614                NaN                NaN                NaN   \n",
       "2800      1685                NaN                NaN                NaN   \n",
       "2801      6452                NaN                NaN                NaN   \n",
       "\n",
       "      Installation_2004  Installation_2005  Installation_2006  \\\n",
       "0                   1.0                1.0                0.0   \n",
       "1                   1.0                0.0                0.0   \n",
       "2                   0.0                1.0                0.0   \n",
       "3                   2.0                0.0                0.0   \n",
       "4                   0.0                0.0                0.0   \n",
       "...                 ...                ...                ...   \n",
       "2797                NaN                NaN                NaN   \n",
       "2798                NaN                NaN                NaN   \n",
       "2799                NaN                NaN                NaN   \n",
       "2800                NaN                NaN                NaN   \n",
       "2801                NaN                NaN                NaN   \n",
       "\n",
       "      Installation_2007  Installation_2008  Installation_2009  ...  \\\n",
       "0                   0.0                0.0                0.0  ...   \n",
       "1                   0.0                0.0                0.0  ...   \n",
       "2                   2.0                4.0                0.0  ...   \n",
       "3                   0.0                0.0                0.0  ...   \n",
       "4                   0.0                0.0                0.0  ...   \n",
       "...                 ...                ...                ...  ...   \n",
       "2797                NaN                NaN                NaN  ...   \n",
       "2798                NaN                NaN                NaN  ...   \n",
       "2799                NaN                NaN                NaN  ...   \n",
       "2800                NaN                NaN                NaN  ...   \n",
       "2801                NaN                NaN                NaN  ...   \n",
       "\n",
       "      Output_2012  Output_2013  Output_2014  Output_2015  Output_2016  \\\n",
       "0           0.000         0.00        0.000         0.00        0.000   \n",
       "1           0.000         0.00        0.000         0.00        0.000   \n",
       "2          58.005        48.33       41.045       133.49      208.070   \n",
       "3           0.000         0.00        0.000         6.00       66.708   \n",
       "4           0.000         0.00        0.000         6.12        0.000   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "2797          NaN          NaN          NaN          NaN          NaN   \n",
       "2798          NaN          NaN          NaN          NaN          NaN   \n",
       "2799          NaN          NaN          NaN          NaN          NaN   \n",
       "2800          NaN          NaN          NaN          NaN          NaN   \n",
       "2801          NaN          NaN          NaN          NaN          NaN   \n",
       "\n",
       "      Output_2017  Output_2018  Output_2019  Output_2020  Output_2021  \n",
       "0           0.000         0.00         0.00         0.00         0.00  \n",
       "1           0.000         0.00         0.00         0.00         0.00  \n",
       "2         281.890       527.74       682.48       526.04        48.49  \n",
       "3          24.840        31.86         0.00        99.99         0.00  \n",
       "4           5.565         0.00         0.00         0.00         0.00  \n",
       "...           ...          ...          ...          ...          ...  \n",
       "2797        0.000         0.00         0.00        39.60         0.00  \n",
       "2798        0.000         0.00        19.83         0.00         0.00  \n",
       "2799        0.000         0.00         6.60         0.00         0.00  \n",
       "2800          NaN          NaN          NaN         0.00         4.80  \n",
       "2801          NaN          NaN          NaN         0.00         6.60  \n",
       "\n",
       "[2802 rows x 43 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgu_df = combined_df[[\"Postcode\" , \"Installation_2001\", \"Installation_2002\", \"Installation_2003\", \"Installation_2004\",\n",
    "                      \"Installation_2005\",\"Installation_2006\", \"Installation_2007\",\"Installation_2008\", \"Installation_2009\",\n",
    "                      \"Installation_2010\", \"Installation_2011\",\"Installation_2012\", \"Installation_2013\",\"Installation_2014\",\n",
    "                      \"Installation_2015\",\"Installation_2016\", \"Installation_2017\",\"Installation_2018\", \"Installation_2019\",\n",
    "                      \"Installation_2020\", \"Installation_2021\", \"Output_2001\",\"Output_2002\", \"Output_2003\", \"Output_2004\",\n",
    "                      \"Output_2005\",\"Output_2006\", \"Output_2007\",\"Output_2008\", \"Output_2009\",\"Output_2010\", \"Output_2011\",\n",
    "                      \"Output_2012\", \"Output_2013\",\"Output_2014\",\"Output_2015\",\"Output_2016\", \"Output_2017\",\"Output_2018\",\n",
    "                      \"Output_2019\",\"Output_2020\", \"Output_2021\"]]\n",
    "\n",
    "sgu_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-2585039febb7>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sgu_df[\"Installation_Total\"] = sgu_df.iloc[:,1:22].sum(axis=1)\n",
      "<ipython-input-18-2585039febb7>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sgu_df[\"Installation_AVG\"] = sgu_df.iloc[:,1:22].mean(axis=1)\n",
      "<ipython-input-18-2585039febb7>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sgu_df[\"Output_Total\"] = sgu_df.iloc[:,22:43].sum(axis=1)\n",
      "<ipython-input-18-2585039febb7>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sgu_df[\"Output_AVG\"] = sgu_df.iloc[:,22:43].mean(axis=1)\n"
     ]
    }
   ],
   "source": [
    "sgu_df[\"Installation_Total\"] = sgu_df.iloc[:,1:22].sum(axis=1)\n",
    "sgu_df[\"Installation_AVG\"] = sgu_df.iloc[:,1:22].mean(axis=1)\n",
    "sgu_df[\"Output_Total\"] = sgu_df.iloc[:,22:43].sum(axis=1)\n",
    "sgu_df[\"Output_AVG\"] = sgu_df.iloc[:,22:43].mean(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>postcode</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
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       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>...</th>\n",
       "      <th>Output_2016</th>\n",
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       "      <th>Output_2018</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Output_2021</th>\n",
       "      <th>Installation_Total</th>\n",
       "      <th>Installation_AVG</th>\n",
       "      <th>Output_Total</th>\n",
       "      <th>Output_AVG</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>4.460</td>\n",
       "      <td>0.212381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.003810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>208.070</td>\n",
       "      <td>281.890</td>\n",
       "      <td>527.74</td>\n",
       "      <td>682.48</td>\n",
       "      <td>526.04</td>\n",
       "      <td>48.49</td>\n",
       "      <td>109.0</td>\n",
       "      <td>5.190476</td>\n",
       "      <td>2595.580</td>\n",
       "      <td>123.599048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>801</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>66.708</td>\n",
       "      <td>24.840</td>\n",
       "      <td>31.86</td>\n",
       "      <td>0.00</td>\n",
       "      <td>99.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>234.858</td>\n",
       "      <td>11.183714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>803</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.565</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>11.685</td>\n",
       "      <td>0.556429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2797</th>\n",
       "      <td>2678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>39.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>39.600</td>\n",
       "      <td>7.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2798</th>\n",
       "      <td>6219</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>19.830</td>\n",
       "      <td>3.966000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>6614</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>6.600</td>\n",
       "      <td>1.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>1685</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.80</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>4.800</td>\n",
       "      <td>2.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2801</th>\n",
       "      <td>6452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.60</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>6.600</td>\n",
       "      <td>3.300000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2802 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      postcode  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0            0                0.0                2.0                0.0   \n",
       "1          200                0.0                0.0                0.0   \n",
       "2          800                0.0                0.0                0.0   \n",
       "3          801                0.0                0.0                0.0   \n",
       "4          803                0.0                0.0                0.0   \n",
       "...        ...                ...                ...                ...   \n",
       "2797      2678                0.0                0.0                0.0   \n",
       "2798      6219                0.0                0.0                0.0   \n",
       "2799      6614                0.0                0.0                0.0   \n",
       "2800      1685                0.0                0.0                0.0   \n",
       "2801      6452                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2004  Installation_2005  Installation_2006  \\\n",
       "0                   1.0                1.0                0.0   \n",
       "1                   1.0                0.0                0.0   \n",
       "2                   0.0                1.0                0.0   \n",
       "3                   2.0                0.0                0.0   \n",
       "4                   0.0                0.0                0.0   \n",
       "...                 ...                ...                ...   \n",
       "2797                0.0                0.0                0.0   \n",
       "2798                0.0                0.0                0.0   \n",
       "2799                0.0                0.0                0.0   \n",
       "2800                0.0                0.0                0.0   \n",
       "2801                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2007  Installation_2008  Installation_2009  ...  \\\n",
       "0                   0.0                0.0                0.0  ...   \n",
       "1                   0.0                0.0                0.0  ...   \n",
       "2                   2.0                4.0                0.0  ...   \n",
       "3                   0.0                0.0                0.0  ...   \n",
       "4                   0.0                0.0                0.0  ...   \n",
       "...                 ...                ...                ...  ...   \n",
       "2797                0.0                0.0                0.0  ...   \n",
       "2798                0.0                0.0                0.0  ...   \n",
       "2799                0.0                0.0                0.0  ...   \n",
       "2800                0.0                0.0                0.0  ...   \n",
       "2801                0.0                0.0                0.0  ...   \n",
       "\n",
       "      Output_2016  Output_2017  Output_2018  Output_2019  Output_2020  \\\n",
       "0           0.000        0.000         0.00         0.00         0.00   \n",
       "1           0.000        0.000         0.00         0.00         0.00   \n",
       "2         208.070      281.890       527.74       682.48       526.04   \n",
       "3          66.708       24.840        31.86         0.00        99.99   \n",
       "4           0.000        5.565         0.00         0.00         0.00   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "2797        0.000        0.000         0.00         0.00        39.60   \n",
       "2798        0.000        0.000         0.00        19.83         0.00   \n",
       "2799        0.000        0.000         0.00         6.60         0.00   \n",
       "2800        0.000        0.000         0.00         0.00         0.00   \n",
       "2801        0.000        0.000         0.00         0.00         0.00   \n",
       "\n",
       "      Output_2021  Installation_Total  Installation_AVG  Output_Total  \\\n",
       "0            0.00                 4.0          0.190476         4.460   \n",
       "1            0.00                 1.0          0.047619         0.080   \n",
       "2           48.49               109.0          5.190476      2595.580   \n",
       "3            0.00                 8.0          0.380952       234.858   \n",
       "4            0.00                 2.0          0.095238        11.685   \n",
       "...           ...                 ...               ...           ...   \n",
       "2797         0.00                 1.0          0.200000        39.600   \n",
       "2798         0.00                 3.0          0.600000        19.830   \n",
       "2799         0.00                 1.0          0.200000         6.600   \n",
       "2800         4.80                 1.0          0.500000         4.800   \n",
       "2801         6.60                 1.0          0.500000         6.600   \n",
       "\n",
       "      Output_AVG  \n",
       "0       0.212381  \n",
       "1       0.003810  \n",
       "2     123.599048  \n",
       "3      11.183714  \n",
       "4       0.556429  \n",
       "...          ...  \n",
       "2797    7.920000  \n",
       "2798    3.966000  \n",
       "2799    1.320000  \n",
       "2800    2.400000  \n",
       "2801    3.300000  \n",
       "\n",
       "[2802 rows x 47 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgu_df = sgu_df.rename(columns ={\"Postcode\":\"postcode\"})\n",
    "sgu_df = sgu_df.fillna(0)\n",
    "sgu_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>postcode</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
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       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>...</th>\n",
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       "      <th>Output_Total</th>\n",
       "      <th>Output_AVG</th>\n",
       "      <th>zone</th>\n",
       "      <th>rating</th>\n",
       "      <th>annual_prod</th>\n",
       "      <th>rebate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.003810</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>526.040</td>\n",
       "      <td>48.49</td>\n",
       "      <td>109.0</td>\n",
       "      <td>5.190476</td>\n",
       "      <td>2595.580</td>\n",
       "      <td>123.599048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>801</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>99.990</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>234.858</td>\n",
       "      <td>11.183714</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>804</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>9.360</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>78.310</td>\n",
       "      <td>3.729048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>810</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4186.715</td>\n",
       "      <td>661.14</td>\n",
       "      <td>3294.0</td>\n",
       "      <td>156.857143</td>\n",
       "      <td>21219.346</td>\n",
       "      <td>1010.445048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2779</th>\n",
       "      <td>1640</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>15.075</td>\n",
       "      <td>3.015000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2780</th>\n",
       "      <td>2678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39.600</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>39.600</td>\n",
       "      <td>7.920000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2781</th>\n",
       "      <td>6614</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>6.600</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2782</th>\n",
       "      <td>1685</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.80</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>4.800</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.382</td>\n",
       "      <td>9.1</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2783</th>\n",
       "      <td>6452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6.60</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>6.600</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2784 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      postcode  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0          200                0.0                0.0                0.0   \n",
       "1          800                0.0                0.0                0.0   \n",
       "2          801                0.0                0.0                0.0   \n",
       "3          804                0.0                0.0                0.0   \n",
       "4          810                0.0                0.0                0.0   \n",
       "...        ...                ...                ...                ...   \n",
       "2779      1640                0.0                0.0                0.0   \n",
       "2780      2678                0.0                0.0                0.0   \n",
       "2781      6614                0.0                0.0                0.0   \n",
       "2782      1685                0.0                0.0                0.0   \n",
       "2783      6452                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2004  Installation_2005  Installation_2006  \\\n",
       "0                   1.0                0.0                0.0   \n",
       "1                   0.0                1.0                0.0   \n",
       "2                   2.0                0.0                0.0   \n",
       "3                   0.0                0.0                0.0   \n",
       "4                   0.0                1.0                0.0   \n",
       "...                 ...                ...                ...   \n",
       "2779                0.0                0.0                0.0   \n",
       "2780                0.0                0.0                0.0   \n",
       "2781                0.0                0.0                0.0   \n",
       "2782                0.0                0.0                0.0   \n",
       "2783                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2007  Installation_2008  Installation_2009  ...  \\\n",
       "0                   0.0                0.0                0.0  ...   \n",
       "1                   2.0                4.0                0.0  ...   \n",
       "2                   0.0                0.0                0.0  ...   \n",
       "3                   0.0                0.0                0.0  ...   \n",
       "4                   0.0                5.0               35.0  ...   \n",
       "...                 ...                ...                ...  ...   \n",
       "2779                0.0                0.0                0.0  ...   \n",
       "2780                0.0                0.0                0.0  ...   \n",
       "2781                0.0                0.0                0.0  ...   \n",
       "2782                0.0                0.0                0.0  ...   \n",
       "2783                0.0                0.0                0.0  ...   \n",
       "\n",
       "      Output_2020  Output_2021  Installation_Total  Installation_AVG  \\\n",
       "0           0.000         0.00                 1.0          0.047619   \n",
       "1         526.040        48.49               109.0          5.190476   \n",
       "2          99.990         0.00                 8.0          0.380952   \n",
       "3           9.360         0.00                15.0          0.714286   \n",
       "4        4186.715       661.14              3294.0        156.857143   \n",
       "...           ...          ...                 ...               ...   \n",
       "2779        0.000         0.00                 2.0          0.400000   \n",
       "2780       39.600         0.00                 1.0          0.200000   \n",
       "2781        0.000         0.00                 1.0          0.200000   \n",
       "2782        0.000         4.80                 1.0          0.500000   \n",
       "2783        0.000         6.60                 1.0          0.500000   \n",
       "\n",
       "      Output_Total   Output_AVG  zone  rating  annual_prod  rebate  \n",
       "0            0.080     0.003810   3.0   1.382          9.1  3185.0  \n",
       "1         2595.580   123.599048   2.0   1.536         10.1  3535.0  \n",
       "2          234.858    11.183714   2.0   1.536         10.1  3535.0  \n",
       "3           78.310     3.729048   2.0   1.536         10.1  3535.0  \n",
       "4        21219.346  1010.445048   2.0   1.536         10.1  3535.0  \n",
       "...            ...          ...   ...     ...          ...     ...  \n",
       "2779        15.075     3.015000   3.0   1.382          9.1  3185.0  \n",
       "2780        39.600     7.920000   3.0   1.382          9.1  3185.0  \n",
       "2781         6.600     1.320000   2.0   1.536         10.1  3535.0  \n",
       "2782         4.800     2.400000   3.0   1.382          9.1  3185.0  \n",
       "2783         6.600     3.300000   4.0   1.185          7.8  2730.0  \n",
       "\n",
       "[2784 rows x 51 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.merge(sgu_df,rebate_df, on=\"postcode\", how =\"inner\")\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>postcode</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
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       "      <th>annual_prod</th>\n",
       "      <th>rebate</th>\n",
       "      <th>Average_total</th>\n",
       "      <th>Average_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>88445</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>801</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>234.858</td>\n",
       "      <td>11.183714</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
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       "      <td>85064</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>804</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>78.310</td>\n",
       "      <td>3.729048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "      <td>108716</td>\n",
       "      <td>89647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>810</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3294.0</td>\n",
       "      <td>156.857143</td>\n",
       "      <td>21219.346</td>\n",
       "      <td>1010.445048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
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       "      <td>94079</td>\n",
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       "      <th>4</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>9.000</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>31.0</td>\n",
       "      <td>1.476190</td>\n",
       "      <td>172.670</td>\n",
       "      <td>8.222381</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>78784</td>\n",
       "      <td>55531</td>\n",
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       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>7467</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>76.0</td>\n",
       "      <td>3.619048</td>\n",
       "      <td>386.470</td>\n",
       "      <td>18.403333</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>81072</td>\n",
       "      <td>64735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>7468</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>34.0</td>\n",
       "      <td>1.619048</td>\n",
       "      <td>204.895</td>\n",
       "      <td>9.756905</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>81527</td>\n",
       "      <td>61077</td>\n",
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       "    <tr>\n",
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       "      <td>7469</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.761905</td>\n",
       "      <td>138.765</td>\n",
       "      <td>6.607857</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>124341</td>\n",
       "      <td>70848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>7470</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2.047619</td>\n",
       "      <td>193.257</td>\n",
       "      <td>9.202714</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>105301</td>\n",
       "      <td>90135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2639 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      postcode  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0          800                0.0                0.0                0.0   \n",
       "1          801                0.0                0.0                0.0   \n",
       "2          804                0.0                0.0                0.0   \n",
       "3          810                0.0                0.0                0.0   \n",
       "4          811                0.0                0.0                0.0   \n",
       "...        ...                ...                ...                ...   \n",
       "2634      7331                0.0                0.0                0.0   \n",
       "2635      7467                0.0                0.0                0.0   \n",
       "2636      7468                0.0                0.0                0.0   \n",
       "2637      7469                0.0                0.0                0.0   \n",
       "2638      7470                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2004  Installation_2005  Installation_2006  \\\n",
       "0                   0.0                1.0                0.0   \n",
       "1                   2.0                0.0                0.0   \n",
       "2                   0.0                0.0                0.0   \n",
       "3                   0.0                1.0                0.0   \n",
       "4                   0.0                0.0                0.0   \n",
       "...                 ...                ...                ...   \n",
       "2634                0.0                0.0                0.0   \n",
       "2635                0.0                0.0                0.0   \n",
       "2636                0.0                0.0                0.0   \n",
       "2637                0.0                0.0                0.0   \n",
       "2638                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2007  Installation_2008  Installation_2009  ...  \\\n",
       "0                   2.0                4.0                0.0  ...   \n",
       "1                   0.0                0.0                0.0  ...   \n",
       "2                   0.0                0.0                0.0  ...   \n",
       "3                   0.0                5.0               35.0  ...   \n",
       "4                   0.0                0.0                0.0  ...   \n",
       "...                 ...                ...                ...  ...   \n",
       "2634                0.0                0.0                0.0  ...   \n",
       "2635                0.0                0.0                1.0  ...   \n",
       "2636                0.0                0.0                0.0  ...   \n",
       "2637                0.0                0.0                1.0  ...   \n",
       "2638                0.0                0.0                1.0  ...   \n",
       "\n",
       "      Installation_Total  Installation_AVG  Output_Total   Output_AVG  zone  \\\n",
       "0                  109.0          5.190476      2595.580   123.599048   2.0   \n",
       "1                    8.0          0.380952       234.858    11.183714   2.0   \n",
       "2                   15.0          0.714286        78.310     3.729048   2.0   \n",
       "3                 3294.0        156.857143     21219.346  1010.445048   2.0   \n",
       "4                    2.0          0.095238         9.000     0.428571   2.0   \n",
       "...                  ...               ...           ...          ...   ...   \n",
       "2634                31.0          1.476190       172.670     8.222381   4.0   \n",
       "2635                76.0          3.619048       386.470    18.403333   4.0   \n",
       "2636                34.0          1.619048       204.895     9.756905   4.0   \n",
       "2637                37.0          1.761905       138.765     6.607857   4.0   \n",
       "2638                43.0          2.047619       193.257     9.202714   4.0   \n",
       "\n",
       "      rating  annual_prod  rebate  Average_total  Average_salary  \n",
       "0      1.536         10.1  3535.0          98643           88445  \n",
       "1      1.536         10.1  3535.0         120690           85064  \n",
       "2      1.536         10.1  3535.0         108716           89647  \n",
       "3      1.536         10.1  3535.0          94079           78351  \n",
       "4      1.536         10.1  3535.0         119181           90769  \n",
       "...      ...          ...     ...            ...             ...  \n",
       "2634   1.185          7.8  2730.0          78784           55531  \n",
       "2635   1.185          7.8  2730.0          81072           64735  \n",
       "2636   1.185          7.8  2730.0          81527           61077  \n",
       "2637   1.185          7.8  2730.0         124341           70848  \n",
       "2638   1.185          7.8  2730.0         105301           90135  \n",
       "\n",
       "[2639 rows x 53 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "income_df = income_df.rename(columns ={\"Postcode\":\"postcode\"})\n",
    "df2 = pd.merge(df1, income_df ,on=\"postcode\", how =\"inner\")\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>suburb</th>\n",
       "      <th>state</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>ANU</td>\n",
       "      <td>ACT</td>\n",
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       "      <th>800</th>\n",
       "      <td>DARWIN</td>\n",
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       "    <tr>\n",
       "      <th>801</th>\n",
       "      <td>DARWIN</td>\n",
       "      <td>NT</td>\n",
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       "      <th>804</th>\n",
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       "    <tr>\n",
       "      <th>810</th>\n",
       "      <td>ALAWA</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7466</th>\n",
       "      <td>GORMANSTON</td>\n",
       "      <td>TAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7467</th>\n",
       "      <td>LAKE MARGARET</td>\n",
       "      <td>TAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7468</th>\n",
       "      <td>MACQUARIE HEADS</td>\n",
       "      <td>TAS</td>\n",
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       "    <tr>\n",
       "      <th>7469</th>\n",
       "      <td>GRANVILLE HARBOUR</td>\n",
       "      <td>TAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7470</th>\n",
       "      <td>ROSEBERY</td>\n",
       "      <td>TAS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2784 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     suburb state\n",
       "postcode                         \n",
       "200                     ANU   ACT\n",
       "800                  DARWIN    NT\n",
       "801                  DARWIN    NT\n",
       "804                   PARAP    NT\n",
       "810                   ALAWA    NT\n",
       "...                     ...   ...\n",
       "7466             GORMANSTON   TAS\n",
       "7467          LAKE MARGARET   TAS\n",
       "7468        MACQUARIE HEADS   TAS\n",
       "7469      GRANVILLE HARBOUR   TAS\n",
       "7470               ROSEBERY   TAS\n",
       "\n",
       "[2784 rows x 2 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub_df = suburb_df[['postcode','suburb','state']]\n",
    "sub_df = sub_df.groupby(\"postcode\").first()\n",
    "sub_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>postcode</th>\n",
       "      <th>Installation_2001</th>\n",
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       "      <th>Installation_2003</th>\n",
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       "      <td>2595.580</td>\n",
       "      <td>123.599048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "      <td>98643</td>\n",
       "      <td>88445</td>\n",
       "      <td>DARWIN</td>\n",
       "      <td>NT</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>801</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>234.858</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.310</td>\n",
       "      <td>3.729048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3535.0</td>\n",
       "      <td>108716</td>\n",
       "      <td>89647</td>\n",
       "      <td>PARAP</td>\n",
       "      <td>NT</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>810</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
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       "      <td>21219.346</td>\n",
       "      <td>1010.445048</td>\n",
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       "      <td>3535.0</td>\n",
       "      <td>94079</td>\n",
       "      <td>78351</td>\n",
       "      <td>ALAWA</td>\n",
       "      <td>NT</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>9.000</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.536</td>\n",
       "      <td>10.1</td>\n",
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       "      <td>119181</td>\n",
       "      <td>90769</td>\n",
       "      <td>CASUARINA</td>\n",
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       "      <th>2634</th>\n",
       "      <td>7331</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>78784</td>\n",
       "      <td>55531</td>\n",
       "      <td>STANLEY</td>\n",
       "      <td>TAS</td>\n",
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       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>7467</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>386.470</td>\n",
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       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>81072</td>\n",
       "      <td>64735</td>\n",
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       "      <td>2730.0</td>\n",
       "      <td>81527</td>\n",
       "      <td>61077</td>\n",
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       "      <td>TAS</td>\n",
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       "    <tr>\n",
       "      <th>2637</th>\n",
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       "      <td>1.0</td>\n",
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       "      <td>2730.0</td>\n",
       "      <td>124341</td>\n",
       "      <td>70848</td>\n",
       "      <td>GRANVILLE HARBOUR</td>\n",
       "      <td>TAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>7470</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>193.257</td>\n",
       "      <td>9.202714</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.185</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2730.0</td>\n",
       "      <td>105301</td>\n",
       "      <td>90135</td>\n",
       "      <td>ROSEBERY</td>\n",
       "      <td>TAS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2639 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      postcode  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0          800                0.0                0.0                0.0   \n",
       "1          801                0.0                0.0                0.0   \n",
       "2          804                0.0                0.0                0.0   \n",
       "3          810                0.0                0.0                0.0   \n",
       "4          811                0.0                0.0                0.0   \n",
       "...        ...                ...                ...                ...   \n",
       "2634      7331                0.0                0.0                0.0   \n",
       "2635      7467                0.0                0.0                0.0   \n",
       "2636      7468                0.0                0.0                0.0   \n",
       "2637      7469                0.0                0.0                0.0   \n",
       "2638      7470                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2004  Installation_2005  Installation_2006  \\\n",
       "0                   0.0                1.0                0.0   \n",
       "1                   2.0                0.0                0.0   \n",
       "2                   0.0                0.0                0.0   \n",
       "3                   0.0                1.0                0.0   \n",
       "4                   0.0                0.0                0.0   \n",
       "...                 ...                ...                ...   \n",
       "2634                0.0                0.0                0.0   \n",
       "2635                0.0                0.0                0.0   \n",
       "2636                0.0                0.0                0.0   \n",
       "2637                0.0                0.0                0.0   \n",
       "2638                0.0                0.0                0.0   \n",
       "\n",
       "      Installation_2007  Installation_2008  Installation_2009  ...  \\\n",
       "0                   2.0                4.0                0.0  ...   \n",
       "1                   0.0                0.0                0.0  ...   \n",
       "2                   0.0                0.0                0.0  ...   \n",
       "3                   0.0                5.0               35.0  ...   \n",
       "4                   0.0                0.0                0.0  ...   \n",
       "...                 ...                ...                ...  ...   \n",
       "2634                0.0                0.0                0.0  ...   \n",
       "2635                0.0                0.0                1.0  ...   \n",
       "2636                0.0                0.0                0.0  ...   \n",
       "2637                0.0                0.0                1.0  ...   \n",
       "2638                0.0                0.0                1.0  ...   \n",
       "\n",
       "      Output_Total   Output_AVG  zone  rating  annual_prod  rebate  \\\n",
       "0         2595.580   123.599048   2.0   1.536         10.1  3535.0   \n",
       "1          234.858    11.183714   2.0   1.536         10.1  3535.0   \n",
       "2           78.310     3.729048   2.0   1.536         10.1  3535.0   \n",
       "3        21219.346  1010.445048   2.0   1.536         10.1  3535.0   \n",
       "4            9.000     0.428571   2.0   1.536         10.1  3535.0   \n",
       "...            ...          ...   ...     ...          ...     ...   \n",
       "2634       172.670     8.222381   4.0   1.185          7.8  2730.0   \n",
       "2635       386.470    18.403333   4.0   1.185          7.8  2730.0   \n",
       "2636       204.895     9.756905   4.0   1.185          7.8  2730.0   \n",
       "2637       138.765     6.607857   4.0   1.185          7.8  2730.0   \n",
       "2638       193.257     9.202714   4.0   1.185          7.8  2730.0   \n",
       "\n",
       "      Average_total  Average_salary             suburb  state  \n",
       "0             98643           88445             DARWIN     NT  \n",
       "1            120690           85064             DARWIN     NT  \n",
       "2            108716           89647              PARAP     NT  \n",
       "3             94079           78351              ALAWA     NT  \n",
       "4            119181           90769          CASUARINA     NT  \n",
       "...             ...             ...                ...    ...  \n",
       "2634          78784           55531            STANLEY    TAS  \n",
       "2635          81072           64735      LAKE MARGARET    TAS  \n",
       "2636          81527           61077    MACQUARIE HEADS    TAS  \n",
       "2637         124341           70848  GRANVILLE HARBOUR    TAS  \n",
       "2638         105301           90135           ROSEBERY    TAS  \n",
       "\n",
       "[2639 rows x 55 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.merge(df2, sub_df ,on=\"postcode\", how =\"inner\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_df= df.groupby('state')[[\"Installation_2001\", \"Installation_2002\", \"Installation_2003\", \"Installation_2004\",\n",
    "                      \"Installation_2005\",\"Installation_2006\", \"Installation_2007\",\"Installation_2008\", \"Installation_2009\",\n",
    "                      \"Installation_2010\", \"Installation_2011\",\"Installation_2012\", \"Installation_2013\",\"Installation_2014\",\n",
    "                      \"Installation_2015\",\"Installation_2016\", \"Installation_2017\",\"Installation_2018\", \"Installation_2019\",\n",
    "                      \"Installation_2020\", \"Installation_2021\", \"Output_2001\",\"Output_2002\", \"Output_2003\", \"Output_2004\",\n",
    "                      \"Output_2005\",\"Output_2006\", \"Output_2007\",\"Output_2008\", \"Output_2009\",\"Output_2010\", \"Output_2011\",\n",
    "                      \"Output_2012\", \"Output_2013\",\"Output_2014\",\"Output_2015\",\"Output_2016\", \"Output_2017\",\"Output_2018\",\n",
    "                      \"Output_2019\",\"Output_2020\", \"Output_2021\"]].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Installation_Total</th>\n",
       "      <th>Output_Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ACT</th>\n",
       "      <td>35166.0</td>\n",
       "      <td>198084.231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NSW</th>\n",
       "      <td>691361.0</td>\n",
       "      <td>3688031.928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NT</th>\n",
       "      <td>18457.0</td>\n",
       "      <td>135635.815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QLD</th>\n",
       "      <td>793327.0</td>\n",
       "      <td>3979360.966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>317458.0</td>\n",
       "      <td>1626929.381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAS</th>\n",
       "      <td>41385.0</td>\n",
       "      <td>193564.172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VIC</th>\n",
       "      <td>545863.0</td>\n",
       "      <td>2783803.745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>387873.0</td>\n",
       "      <td>1773935.207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Installation_Total  Output_Total\n",
       "state                                  \n",
       "ACT               35166.0    198084.231\n",
       "NSW              691361.0   3688031.928\n",
       "NT                18457.0    135635.815\n",
       "QLD              793327.0   3979360.966\n",
       "SA               317458.0   1626929.381\n",
       "TAS               41385.0    193564.172\n",
       "VIC              545863.0   2783803.745\n",
       "WA               387873.0   1773935.207"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('state')[['Installation_Total','Output_Total']].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
       "      <th>Installation_2006</th>\n",
       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>Installation_2010</th>\n",
       "      <th>...</th>\n",
       "      <th>Output_2016</th>\n",
       "      <th>Output_2017</th>\n",
       "      <th>Output_2018</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Output_2021</th>\n",
       "      <th>Installation_Total</th>\n",
       "      <th>Installation_AVG</th>\n",
       "      <th>Output_Total</th>\n",
       "      <th>Output_AVG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ACT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>779.0</td>\n",
       "      <td>2403.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7723.341</td>\n",
       "      <td>13392.320</td>\n",
       "      <td>23699.539</td>\n",
       "      <td>31981.595</td>\n",
       "      <td>48551.753</td>\n",
       "      <td>18432.790</td>\n",
       "      <td>35166.0</td>\n",
       "      <td>1674.571429</td>\n",
       "      <td>198084.231</td>\n",
       "      <td>9904.21155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NSW</th>\n",
       "      <td>12.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>2890.0</td>\n",
       "      <td>14047.0</td>\n",
       "      <td>69968.0</td>\n",
       "      <td>...</td>\n",
       "      <td>166889.981</td>\n",
       "      <td>262421.451</td>\n",
       "      <td>424808.546</td>\n",
       "      <td>589636.419</td>\n",
       "      <td>888991.744</td>\n",
       "      <td>354311.018</td>\n",
       "      <td>691361.0</td>\n",
       "      <td>32921.952381</td>\n",
       "      <td>3688012.558</td>\n",
       "      <td>184400.62790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NT</th>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12697.937</td>\n",
       "      <td>15439.160</td>\n",
       "      <td>20175.539</td>\n",
       "      <td>28757.926</td>\n",
       "      <td>27326.741</td>\n",
       "      <td>4256.450</td>\n",
       "      <td>18457.0</td>\n",
       "      <td>878.904762</td>\n",
       "      <td>135603.635</td>\n",
       "      <td>6780.18175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QLD</th>\n",
       "      <td>33.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>3086.0</td>\n",
       "      <td>18279.0</td>\n",
       "      <td>48690.0</td>\n",
       "      <td>...</td>\n",
       "      <td>199390.061</td>\n",
       "      <td>306560.898</td>\n",
       "      <td>407307.848</td>\n",
       "      <td>564857.251</td>\n",
       "      <td>748137.514</td>\n",
       "      <td>276312.516</td>\n",
       "      <td>793327.0</td>\n",
       "      <td>37777.476190</td>\n",
       "      <td>3979317.676</td>\n",
       "      <td>198965.88380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>33.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>3453.0</td>\n",
       "      <td>8566.0</td>\n",
       "      <td>16697.0</td>\n",
       "      <td>...</td>\n",
       "      <td>77520.114</td>\n",
       "      <td>115241.492</td>\n",
       "      <td>174267.020</td>\n",
       "      <td>222755.718</td>\n",
       "      <td>300960.138</td>\n",
       "      <td>90375.169</td>\n",
       "      <td>317458.0</td>\n",
       "      <td>15117.047619</td>\n",
       "      <td>1626880.776</td>\n",
       "      <td>81344.03880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAS</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>1451.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11844.522</td>\n",
       "      <td>14581.283</td>\n",
       "      <td>18884.490</td>\n",
       "      <td>20490.605</td>\n",
       "      <td>26492.783</td>\n",
       "      <td>10080.465</td>\n",
       "      <td>41385.0</td>\n",
       "      <td>1970.714286</td>\n",
       "      <td>193564.172</td>\n",
       "      <td>9678.20860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VIC</th>\n",
       "      <td>16.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>827.0</td>\n",
       "      <td>2035.0</td>\n",
       "      <td>8412.0</td>\n",
       "      <td>35602.0</td>\n",
       "      <td>...</td>\n",
       "      <td>143175.499</td>\n",
       "      <td>204507.992</td>\n",
       "      <td>337399.313</td>\n",
       "      <td>459239.135</td>\n",
       "      <td>565191.639</td>\n",
       "      <td>203182.578</td>\n",
       "      <td>545863.0</td>\n",
       "      <td>25993.476190</td>\n",
       "      <td>2783784.653</td>\n",
       "      <td>139189.23265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2061.0</td>\n",
       "      <td>11144.0</td>\n",
       "      <td>22273.0</td>\n",
       "      <td>...</td>\n",
       "      <td>127872.922</td>\n",
       "      <td>186226.248</td>\n",
       "      <td>210001.456</td>\n",
       "      <td>245980.933</td>\n",
       "      <td>333933.556</td>\n",
       "      <td>126842.460</td>\n",
       "      <td>387873.0</td>\n",
       "      <td>18470.142857</td>\n",
       "      <td>1773919.227</td>\n",
       "      <td>88695.96135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Installation_2001  Installation_2002  Installation_2003  \\\n",
       "state                                                            \n",
       "ACT                  0.0                0.0                7.0   \n",
       "NSW                 12.0               23.0              130.0   \n",
       "NT                  11.0               12.0               11.0   \n",
       "QLD                 33.0               71.0              151.0   \n",
       "SA                  33.0              101.0              243.0   \n",
       "TAS                  0.0                1.0                9.0   \n",
       "VIC                 16.0               19.0               98.0   \n",
       "WA                  11.0               12.0               14.0   \n",
       "\n",
       "       Installation_2004  Installation_2005  Installation_2006  \\\n",
       "state                                                            \n",
       "ACT                  4.0                3.0               17.0   \n",
       "NSW                233.0              289.0              209.0   \n",
       "NT                  22.0               38.0               23.0   \n",
       "QLD                324.0              337.0              195.0   \n",
       "SA                 299.0              376.0              413.0   \n",
       "TAS                 17.0               13.0                4.0   \n",
       "VIC                152.0              253.0              200.0   \n",
       "WA                  32.0               89.0               53.0   \n",
       "\n",
       "       Installation_2007  Installation_2008  Installation_2009  \\\n",
       "state                                                            \n",
       "ACT                 57.0              279.0              779.0   \n",
       "NSW                770.0             2890.0            14047.0   \n",
       "NT                  26.0               88.0              215.0   \n",
       "QLD                475.0             3086.0            18279.0   \n",
       "SA                1036.0             3453.0             8566.0   \n",
       "TAS                 25.0              161.0             1451.0   \n",
       "VIC                827.0             2035.0             8412.0   \n",
       "WA                 260.0             2061.0            11144.0   \n",
       "\n",
       "       Installation_2010  ...  Output_2016  Output_2017  Output_2018  \\\n",
       "state                     ...                                          \n",
       "ACT               2403.0  ...     7723.341    13392.320    23699.539   \n",
       "NSW              69968.0  ...   166889.981   262421.451   424808.546   \n",
       "NT                 637.0  ...    12697.937    15439.160    20175.539   \n",
       "QLD              48690.0  ...   199390.061   306560.898   407307.848   \n",
       "SA               16697.0  ...    77520.114   115241.492   174267.020   \n",
       "TAS               1889.0  ...    11844.522    14581.283    18884.490   \n",
       "VIC              35602.0  ...   143175.499   204507.992   337399.313   \n",
       "WA               22273.0  ...   127872.922   186226.248   210001.456   \n",
       "\n",
       "       Output_2019  Output_2020  Output_2021  Installation_Total  \\\n",
       "state                                                              \n",
       "ACT      31981.595    48551.753    18432.790             35166.0   \n",
       "NSW     589636.419   888991.744   354311.018            691361.0   \n",
       "NT       28757.926    27326.741     4256.450             18457.0   \n",
       "QLD     564857.251   748137.514   276312.516            793327.0   \n",
       "SA      222755.718   300960.138    90375.169            317458.0   \n",
       "TAS      20490.605    26492.783    10080.465             41385.0   \n",
       "VIC     459239.135   565191.639   203182.578            545863.0   \n",
       "WA      245980.933   333933.556   126842.460            387873.0   \n",
       "\n",
       "       Installation_AVG  Output_Total    Output_AVG  \n",
       "state                                                \n",
       "ACT         1674.571429    198084.231    9904.21155  \n",
       "NSW        32921.952381   3688012.558  184400.62790  \n",
       "NT           878.904762    135603.635    6780.18175  \n",
       "QLD        37777.476190   3979317.676  198965.88380  \n",
       "SA         15117.047619   1626880.776   81344.03880  \n",
       "TAS         1970.714286    193564.172    9678.20860  \n",
       "VIC        25993.476190   2783784.653  139189.23265  \n",
       "WA         18470.142857   1773919.227   88695.96135  \n",
       "\n",
       "[8 rows x 46 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_df['Installation_Total']=state_df.iloc[:,0:21].sum(axis=1)\n",
    "state_df['Installation_AVG']=state_df.iloc[:,0:21].mean(axis=1)\n",
    "state_df['Output_Total']=state_df.iloc[:,22:42].sum(axis=1)\n",
    "state_df['Output_AVG']=state_df.iloc[:,22:42].mean(axis=1)\n",
    "sgu_state_df = state_df\n",
    "sgu_state_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
       "      <th>Installation_2006</th>\n",
       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>Installation_2010</th>\n",
       "      <th>...</th>\n",
       "      <th>Output_2016</th>\n",
       "      <th>Output_2017</th>\n",
       "      <th>Output_2018</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Output_2021</th>\n",
       "      <th>Installation_Total</th>\n",
       "      <th>Installation_AVG</th>\n",
       "      <th>Output_Total</th>\n",
       "      <th>Output_AVG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ACT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>779.0</td>\n",
       "      <td>2403.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7723.341</td>\n",
       "      <td>13392.320</td>\n",
       "      <td>23699.539</td>\n",
       "      <td>31981.595</td>\n",
       "      <td>48551.753</td>\n",
       "      <td>18432.790</td>\n",
       "      <td>35166.0</td>\n",
       "      <td>1674.571429</td>\n",
       "      <td>1.980842e+05</td>\n",
       "      <td>9904.21155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NSW</th>\n",
       "      <td>12.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>2890.0</td>\n",
       "      <td>14047.0</td>\n",
       "      <td>69968.0</td>\n",
       "      <td>...</td>\n",
       "      <td>166889.981</td>\n",
       "      <td>262421.451</td>\n",
       "      <td>424808.546</td>\n",
       "      <td>589636.419</td>\n",
       "      <td>888991.744</td>\n",
       "      <td>354311.018</td>\n",
       "      <td>691361.0</td>\n",
       "      <td>32921.952381</td>\n",
       "      <td>3.688013e+06</td>\n",
       "      <td>184400.62790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NT</th>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12697.937</td>\n",
       "      <td>15439.160</td>\n",
       "      <td>20175.539</td>\n",
       "      <td>28757.926</td>\n",
       "      <td>27326.741</td>\n",
       "      <td>4256.450</td>\n",
       "      <td>18457.0</td>\n",
       "      <td>878.904762</td>\n",
       "      <td>1.356036e+05</td>\n",
       "      <td>6780.18175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QLD</th>\n",
       "      <td>33.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>3086.0</td>\n",
       "      <td>18279.0</td>\n",
       "      <td>48690.0</td>\n",
       "      <td>...</td>\n",
       "      <td>199390.061</td>\n",
       "      <td>306560.898</td>\n",
       "      <td>407307.848</td>\n",
       "      <td>564857.251</td>\n",
       "      <td>748137.514</td>\n",
       "      <td>276312.516</td>\n",
       "      <td>793327.0</td>\n",
       "      <td>37777.476190</td>\n",
       "      <td>3.979318e+06</td>\n",
       "      <td>198965.88380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>33.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>3453.0</td>\n",
       "      <td>8566.0</td>\n",
       "      <td>16697.0</td>\n",
       "      <td>...</td>\n",
       "      <td>77520.114</td>\n",
       "      <td>115241.492</td>\n",
       "      <td>174267.020</td>\n",
       "      <td>222755.718</td>\n",
       "      <td>300960.138</td>\n",
       "      <td>90375.169</td>\n",
       "      <td>317458.0</td>\n",
       "      <td>15117.047619</td>\n",
       "      <td>1.626881e+06</td>\n",
       "      <td>81344.03880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAS</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>1451.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11844.522</td>\n",
       "      <td>14581.283</td>\n",
       "      <td>18884.490</td>\n",
       "      <td>20490.605</td>\n",
       "      <td>26492.783</td>\n",
       "      <td>10080.465</td>\n",
       "      <td>41385.0</td>\n",
       "      <td>1970.714286</td>\n",
       "      <td>1.935642e+05</td>\n",
       "      <td>9678.20860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VIC</th>\n",
       "      <td>16.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>827.0</td>\n",
       "      <td>2035.0</td>\n",
       "      <td>8412.0</td>\n",
       "      <td>35602.0</td>\n",
       "      <td>...</td>\n",
       "      <td>143175.499</td>\n",
       "      <td>204507.992</td>\n",
       "      <td>337399.313</td>\n",
       "      <td>459239.135</td>\n",
       "      <td>565191.639</td>\n",
       "      <td>203182.578</td>\n",
       "      <td>545863.0</td>\n",
       "      <td>25993.476190</td>\n",
       "      <td>2.783785e+06</td>\n",
       "      <td>139189.23265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2061.0</td>\n",
       "      <td>11144.0</td>\n",
       "      <td>22273.0</td>\n",
       "      <td>...</td>\n",
       "      <td>127872.922</td>\n",
       "      <td>186226.248</td>\n",
       "      <td>210001.456</td>\n",
       "      <td>245980.933</td>\n",
       "      <td>333933.556</td>\n",
       "      <td>126842.460</td>\n",
       "      <td>387873.0</td>\n",
       "      <td>18470.142857</td>\n",
       "      <td>1.773919e+06</td>\n",
       "      <td>88695.96135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>National</th>\n",
       "      <td>116.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>663.0</td>\n",
       "      <td>1083.0</td>\n",
       "      <td>1398.0</td>\n",
       "      <td>1114.0</td>\n",
       "      <td>3476.0</td>\n",
       "      <td>14053.0</td>\n",
       "      <td>62893.0</td>\n",
       "      <td>198159.0</td>\n",
       "      <td>...</td>\n",
       "      <td>747114.377</td>\n",
       "      <td>1118370.844</td>\n",
       "      <td>1616543.751</td>\n",
       "      <td>2163699.582</td>\n",
       "      <td>2939585.868</td>\n",
       "      <td>1083793.446</td>\n",
       "      <td>2830890.0</td>\n",
       "      <td>134804.285714</td>\n",
       "      <td>1.437917e+07</td>\n",
       "      <td>718958.34640</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Installation_2001  Installation_2002  Installation_2003  \\\n",
       "state                                                               \n",
       "ACT                     0.0                0.0                7.0   \n",
       "NSW                    12.0               23.0              130.0   \n",
       "NT                     11.0               12.0               11.0   \n",
       "QLD                    33.0               71.0              151.0   \n",
       "SA                     33.0              101.0              243.0   \n",
       "TAS                     0.0                1.0                9.0   \n",
       "VIC                    16.0               19.0               98.0   \n",
       "WA                     11.0               12.0               14.0   \n",
       "National              116.0              239.0              663.0   \n",
       "\n",
       "          Installation_2004  Installation_2005  Installation_2006  \\\n",
       "state                                                               \n",
       "ACT                     4.0                3.0               17.0   \n",
       "NSW                   233.0              289.0              209.0   \n",
       "NT                     22.0               38.0               23.0   \n",
       "QLD                   324.0              337.0              195.0   \n",
       "SA                    299.0              376.0              413.0   \n",
       "TAS                    17.0               13.0                4.0   \n",
       "VIC                   152.0              253.0              200.0   \n",
       "WA                     32.0               89.0               53.0   \n",
       "National             1083.0             1398.0             1114.0   \n",
       "\n",
       "          Installation_2007  Installation_2008  Installation_2009  \\\n",
       "state                                                               \n",
       "ACT                    57.0              279.0              779.0   \n",
       "NSW                   770.0             2890.0            14047.0   \n",
       "NT                     26.0               88.0              215.0   \n",
       "QLD                   475.0             3086.0            18279.0   \n",
       "SA                   1036.0             3453.0             8566.0   \n",
       "TAS                    25.0              161.0             1451.0   \n",
       "VIC                   827.0             2035.0             8412.0   \n",
       "WA                    260.0             2061.0            11144.0   \n",
       "National             3476.0            14053.0            62893.0   \n",
       "\n",
       "          Installation_2010  ...  Output_2016  Output_2017  Output_2018  \\\n",
       "state                        ...                                          \n",
       "ACT                  2403.0  ...     7723.341    13392.320    23699.539   \n",
       "NSW                 69968.0  ...   166889.981   262421.451   424808.546   \n",
       "NT                    637.0  ...    12697.937    15439.160    20175.539   \n",
       "QLD                 48690.0  ...   199390.061   306560.898   407307.848   \n",
       "SA                  16697.0  ...    77520.114   115241.492   174267.020   \n",
       "TAS                  1889.0  ...    11844.522    14581.283    18884.490   \n",
       "VIC                 35602.0  ...   143175.499   204507.992   337399.313   \n",
       "WA                  22273.0  ...   127872.922   186226.248   210001.456   \n",
       "National           198159.0  ...   747114.377  1118370.844  1616543.751   \n",
       "\n",
       "          Output_2019  Output_2020  Output_2021  Installation_Total  \\\n",
       "state                                                                 \n",
       "ACT         31981.595    48551.753    18432.790             35166.0   \n",
       "NSW        589636.419   888991.744   354311.018            691361.0   \n",
       "NT          28757.926    27326.741     4256.450             18457.0   \n",
       "QLD        564857.251   748137.514   276312.516            793327.0   \n",
       "SA         222755.718   300960.138    90375.169            317458.0   \n",
       "TAS         20490.605    26492.783    10080.465             41385.0   \n",
       "VIC        459239.135   565191.639   203182.578            545863.0   \n",
       "WA         245980.933   333933.556   126842.460            387873.0   \n",
       "National  2163699.582  2939585.868  1083793.446           2830890.0   \n",
       "\n",
       "          Installation_AVG  Output_Total    Output_AVG  \n",
       "state                                                   \n",
       "ACT            1674.571429  1.980842e+05    9904.21155  \n",
       "NSW           32921.952381  3.688013e+06  184400.62790  \n",
       "NT              878.904762  1.356036e+05    6780.18175  \n",
       "QLD           37777.476190  3.979318e+06  198965.88380  \n",
       "SA            15117.047619  1.626881e+06   81344.03880  \n",
       "TAS            1970.714286  1.935642e+05    9678.20860  \n",
       "VIC           25993.476190  2.783785e+06  139189.23265  \n",
       "WA            18470.142857  1.773919e+06   88695.96135  \n",
       "National     134804.285714  1.437917e+07  718958.34640  \n",
       "\n",
       "[9 rows x 46 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgu_state_df = sgu_state_df.T\n",
    "sgu_state_df['National'] = sgu_state_df.iloc[:,0:8].sum(axis=1)\n",
    "sgu_state_df = sgu_state_df.T\n",
    "sgu_state_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
       "      <th>Installation_2006</th>\n",
       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>...</th>\n",
       "      <th>Output_2016</th>\n",
       "      <th>Output_2017</th>\n",
       "      <th>Output_2018</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Output_2021</th>\n",
       "      <th>Installation_Total</th>\n",
       "      <th>Installation_AVG</th>\n",
       "      <th>Output_Total</th>\n",
       "      <th>Output_AVG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>779.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7723.341</td>\n",
       "      <td>13392.320</td>\n",
       "      <td>23699.539</td>\n",
       "      <td>31981.595</td>\n",
       "      <td>48551.753</td>\n",
       "      <td>18432.790</td>\n",
       "      <td>35166.0</td>\n",
       "      <td>1674.571429</td>\n",
       "      <td>1.980842e+05</td>\n",
       "      <td>9904.21155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NSW</td>\n",
       "      <td>12.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>2890.0</td>\n",
       "      <td>14047.0</td>\n",
       "      <td>...</td>\n",
       "      <td>166889.981</td>\n",
       "      <td>262421.451</td>\n",
       "      <td>424808.546</td>\n",
       "      <td>589636.419</td>\n",
       "      <td>888991.744</td>\n",
       "      <td>354311.018</td>\n",
       "      <td>691361.0</td>\n",
       "      <td>32921.952381</td>\n",
       "      <td>3.688013e+06</td>\n",
       "      <td>184400.62790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NT</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12697.937</td>\n",
       "      <td>15439.160</td>\n",
       "      <td>20175.539</td>\n",
       "      <td>28757.926</td>\n",
       "      <td>27326.741</td>\n",
       "      <td>4256.450</td>\n",
       "      <td>18457.0</td>\n",
       "      <td>878.904762</td>\n",
       "      <td>1.356036e+05</td>\n",
       "      <td>6780.18175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>QLD</td>\n",
       "      <td>33.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>3086.0</td>\n",
       "      <td>18279.0</td>\n",
       "      <td>...</td>\n",
       "      <td>199390.061</td>\n",
       "      <td>306560.898</td>\n",
       "      <td>407307.848</td>\n",
       "      <td>564857.251</td>\n",
       "      <td>748137.514</td>\n",
       "      <td>276312.516</td>\n",
       "      <td>793327.0</td>\n",
       "      <td>37777.476190</td>\n",
       "      <td>3.979318e+06</td>\n",
       "      <td>198965.88380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SA</td>\n",
       "      <td>33.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>3453.0</td>\n",
       "      <td>8566.0</td>\n",
       "      <td>...</td>\n",
       "      <td>77520.114</td>\n",
       "      <td>115241.492</td>\n",
       "      <td>174267.020</td>\n",
       "      <td>222755.718</td>\n",
       "      <td>300960.138</td>\n",
       "      <td>90375.169</td>\n",
       "      <td>317458.0</td>\n",
       "      <td>15117.047619</td>\n",
       "      <td>1.626881e+06</td>\n",
       "      <td>81344.03880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TAS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>1451.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11844.522</td>\n",
       "      <td>14581.283</td>\n",
       "      <td>18884.490</td>\n",
       "      <td>20490.605</td>\n",
       "      <td>26492.783</td>\n",
       "      <td>10080.465</td>\n",
       "      <td>41385.0</td>\n",
       "      <td>1970.714286</td>\n",
       "      <td>1.935642e+05</td>\n",
       "      <td>9678.20860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>VIC</td>\n",
       "      <td>16.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>827.0</td>\n",
       "      <td>2035.0</td>\n",
       "      <td>8412.0</td>\n",
       "      <td>...</td>\n",
       "      <td>143175.499</td>\n",
       "      <td>204507.992</td>\n",
       "      <td>337399.313</td>\n",
       "      <td>459239.135</td>\n",
       "      <td>565191.639</td>\n",
       "      <td>203182.578</td>\n",
       "      <td>545863.0</td>\n",
       "      <td>25993.476190</td>\n",
       "      <td>2.783785e+06</td>\n",
       "      <td>139189.23265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2061.0</td>\n",
       "      <td>11144.0</td>\n",
       "      <td>...</td>\n",
       "      <td>127872.922</td>\n",
       "      <td>186226.248</td>\n",
       "      <td>210001.456</td>\n",
       "      <td>245980.933</td>\n",
       "      <td>333933.556</td>\n",
       "      <td>126842.460</td>\n",
       "      <td>387873.0</td>\n",
       "      <td>18470.142857</td>\n",
       "      <td>1.773919e+06</td>\n",
       "      <td>88695.96135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>National</td>\n",
       "      <td>116.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>663.0</td>\n",
       "      <td>1083.0</td>\n",
       "      <td>1398.0</td>\n",
       "      <td>1114.0</td>\n",
       "      <td>3476.0</td>\n",
       "      <td>14053.0</td>\n",
       "      <td>62893.0</td>\n",
       "      <td>...</td>\n",
       "      <td>747114.377</td>\n",
       "      <td>1118370.844</td>\n",
       "      <td>1616543.751</td>\n",
       "      <td>2163699.582</td>\n",
       "      <td>2939585.868</td>\n",
       "      <td>1083793.446</td>\n",
       "      <td>2830890.0</td>\n",
       "      <td>134804.285714</td>\n",
       "      <td>1.437917e+07</td>\n",
       "      <td>718958.34640</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      state  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0       ACT                0.0                0.0                7.0   \n",
       "1       NSW               12.0               23.0              130.0   \n",
       "2        NT               11.0               12.0               11.0   \n",
       "3       QLD               33.0               71.0              151.0   \n",
       "4        SA               33.0              101.0              243.0   \n",
       "5       TAS                0.0                1.0                9.0   \n",
       "6       VIC               16.0               19.0               98.0   \n",
       "7        WA               11.0               12.0               14.0   \n",
       "8  National              116.0              239.0              663.0   \n",
       "\n",
       "   Installation_2004  Installation_2005  Installation_2006  Installation_2007  \\\n",
       "0                4.0                3.0               17.0               57.0   \n",
       "1              233.0              289.0              209.0              770.0   \n",
       "2               22.0               38.0               23.0               26.0   \n",
       "3              324.0              337.0              195.0              475.0   \n",
       "4              299.0              376.0              413.0             1036.0   \n",
       "5               17.0               13.0                4.0               25.0   \n",
       "6              152.0              253.0              200.0              827.0   \n",
       "7               32.0               89.0               53.0              260.0   \n",
       "8             1083.0             1398.0             1114.0             3476.0   \n",
       "\n",
       "   Installation_2008  Installation_2009  ...  Output_2016  Output_2017  \\\n",
       "0              279.0              779.0  ...     7723.341    13392.320   \n",
       "1             2890.0            14047.0  ...   166889.981   262421.451   \n",
       "2               88.0              215.0  ...    12697.937    15439.160   \n",
       "3             3086.0            18279.0  ...   199390.061   306560.898   \n",
       "4             3453.0             8566.0  ...    77520.114   115241.492   \n",
       "5              161.0             1451.0  ...    11844.522    14581.283   \n",
       "6             2035.0             8412.0  ...   143175.499   204507.992   \n",
       "7             2061.0            11144.0  ...   127872.922   186226.248   \n",
       "8            14053.0            62893.0  ...   747114.377  1118370.844   \n",
       "\n",
       "   Output_2018  Output_2019  Output_2020  Output_2021  Installation_Total  \\\n",
       "0    23699.539    31981.595    48551.753    18432.790             35166.0   \n",
       "1   424808.546   589636.419   888991.744   354311.018            691361.0   \n",
       "2    20175.539    28757.926    27326.741     4256.450             18457.0   \n",
       "3   407307.848   564857.251   748137.514   276312.516            793327.0   \n",
       "4   174267.020   222755.718   300960.138    90375.169            317458.0   \n",
       "5    18884.490    20490.605    26492.783    10080.465             41385.0   \n",
       "6   337399.313   459239.135   565191.639   203182.578            545863.0   \n",
       "7   210001.456   245980.933   333933.556   126842.460            387873.0   \n",
       "8  1616543.751  2163699.582  2939585.868  1083793.446           2830890.0   \n",
       "\n",
       "   Installation_AVG  Output_Total    Output_AVG  \n",
       "0       1674.571429  1.980842e+05    9904.21155  \n",
       "1      32921.952381  3.688013e+06  184400.62790  \n",
       "2        878.904762  1.356036e+05    6780.18175  \n",
       "3      37777.476190  3.979318e+06  198965.88380  \n",
       "4      15117.047619  1.626881e+06   81344.03880  \n",
       "5       1970.714286  1.935642e+05    9678.20860  \n",
       "6      25993.476190  2.783785e+06  139189.23265  \n",
       "7      18470.142857  1.773919e+06   88695.96135  \n",
       "8     134804.285714  1.437917e+07  718958.34640  \n",
       "\n",
       "[9 rows x 47 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgu_state_df =sgu_state_df.reset_index()\n",
    "sgu_state_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "state\n",
       "ACT    3185.000000\n",
       "NSW    3194.864650\n",
       "NT     3524.111111\n",
       "QLD    3219.348837\n",
       "SA     3208.547401\n",
       "TAS    2730.000000\n",
       "VIC    2925.839311\n",
       "WA     3212.641509\n",
       "Name: rebate, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rebate_avg= df.groupby('state')['rebate'].mean()\n",
    "rebate_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>Installation_2001</th>\n",
       "      <th>Installation_2002</th>\n",
       "      <th>Installation_2003</th>\n",
       "      <th>Installation_2004</th>\n",
       "      <th>Installation_2005</th>\n",
       "      <th>Installation_2006</th>\n",
       "      <th>Installation_2007</th>\n",
       "      <th>Installation_2008</th>\n",
       "      <th>Installation_2009</th>\n",
       "      <th>...</th>\n",
       "      <th>Output_2018</th>\n",
       "      <th>Output_2019</th>\n",
       "      <th>Output_2020</th>\n",
       "      <th>Output_2021</th>\n",
       "      <th>Installation_Total</th>\n",
       "      <th>Installation_AVG</th>\n",
       "      <th>Output_Total</th>\n",
       "      <th>Output_AVG</th>\n",
       "      <th>rebate_AVG</th>\n",
       "      <th>weekly_income_AVG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>779.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23699.539</td>\n",
       "      <td>31981.595</td>\n",
       "      <td>48551.753</td>\n",
       "      <td>18432.790</td>\n",
       "      <td>35166.0</td>\n",
       "      <td>1674.571429</td>\n",
       "      <td>1.980842e+05</td>\n",
       "      <td>9904.21155</td>\n",
       "      <td>3185.000000</td>\n",
       "      <td>2860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NSW</td>\n",
       "      <td>12.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>2890.0</td>\n",
       "      <td>14047.0</td>\n",
       "      <td>...</td>\n",
       "      <td>424808.546</td>\n",
       "      <td>589636.419</td>\n",
       "      <td>888991.744</td>\n",
       "      <td>354311.018</td>\n",
       "      <td>691361.0</td>\n",
       "      <td>32921.952381</td>\n",
       "      <td>3.688013e+06</td>\n",
       "      <td>184400.62790</td>\n",
       "      <td>3194.864650</td>\n",
       "      <td>2657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NT</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>...</td>\n",
       "      <td>20175.539</td>\n",
       "      <td>28757.926</td>\n",
       "      <td>27326.741</td>\n",
       "      <td>4256.450</td>\n",
       "      <td>18457.0</td>\n",
       "      <td>878.904762</td>\n",
       "      <td>1.356036e+05</td>\n",
       "      <td>6780.18175</td>\n",
       "      <td>3524.111111</td>\n",
       "      <td>3132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>QLD</td>\n",
       "      <td>33.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>3086.0</td>\n",
       "      <td>18279.0</td>\n",
       "      <td>...</td>\n",
       "      <td>407307.848</td>\n",
       "      <td>564857.251</td>\n",
       "      <td>748137.514</td>\n",
       "      <td>276312.516</td>\n",
       "      <td>793327.0</td>\n",
       "      <td>37777.476190</td>\n",
       "      <td>3.979318e+06</td>\n",
       "      <td>198965.88380</td>\n",
       "      <td>3219.348837</td>\n",
       "      <td>2209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SA</td>\n",
       "      <td>33.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>3453.0</td>\n",
       "      <td>8566.0</td>\n",
       "      <td>...</td>\n",
       "      <td>174267.020</td>\n",
       "      <td>222755.718</td>\n",
       "      <td>300960.138</td>\n",
       "      <td>90375.169</td>\n",
       "      <td>317458.0</td>\n",
       "      <td>15117.047619</td>\n",
       "      <td>1.626881e+06</td>\n",
       "      <td>81344.03880</td>\n",
       "      <td>3208.547401</td>\n",
       "      <td>2058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TAS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>1451.0</td>\n",
       "      <td>...</td>\n",
       "      <td>18884.490</td>\n",
       "      <td>20490.605</td>\n",
       "      <td>26492.783</td>\n",
       "      <td>10080.465</td>\n",
       "      <td>41385.0</td>\n",
       "      <td>1970.714286</td>\n",
       "      <td>1.935642e+05</td>\n",
       "      <td>9678.20860</td>\n",
       "      <td>2730.000000</td>\n",
       "      <td>1891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>VIC</td>\n",
       "      <td>16.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>827.0</td>\n",
       "      <td>2035.0</td>\n",
       "      <td>8412.0</td>\n",
       "      <td>...</td>\n",
       "      <td>337399.313</td>\n",
       "      <td>459239.135</td>\n",
       "      <td>565191.639</td>\n",
       "      <td>203182.578</td>\n",
       "      <td>545863.0</td>\n",
       "      <td>25993.476190</td>\n",
       "      <td>2.783785e+06</td>\n",
       "      <td>139189.23265</td>\n",
       "      <td>2925.839311</td>\n",
       "      <td>2359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>WA</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2061.0</td>\n",
       "      <td>11144.0</td>\n",
       "      <td>...</td>\n",
       "      <td>210001.456</td>\n",
       "      <td>245980.933</td>\n",
       "      <td>333933.556</td>\n",
       "      <td>126842.460</td>\n",
       "      <td>387873.0</td>\n",
       "      <td>18470.142857</td>\n",
       "      <td>1.773919e+06</td>\n",
       "      <td>88695.96135</td>\n",
       "      <td>3212.641509</td>\n",
       "      <td>2563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>National</td>\n",
       "      <td>116.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>663.0</td>\n",
       "      <td>1083.0</td>\n",
       "      <td>1398.0</td>\n",
       "      <td>1114.0</td>\n",
       "      <td>3476.0</td>\n",
       "      <td>14053.0</td>\n",
       "      <td>62893.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1616543.751</td>\n",
       "      <td>2163699.582</td>\n",
       "      <td>2939585.868</td>\n",
       "      <td>1083793.446</td>\n",
       "      <td>2830890.0</td>\n",
       "      <td>134804.285714</td>\n",
       "      <td>1.437917e+07</td>\n",
       "      <td>718958.34640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      state  Installation_2001  Installation_2002  Installation_2003  \\\n",
       "0       ACT                0.0                0.0                7.0   \n",
       "1       NSW               12.0               23.0              130.0   \n",
       "2        NT               11.0               12.0               11.0   \n",
       "3       QLD               33.0               71.0              151.0   \n",
       "4        SA               33.0              101.0              243.0   \n",
       "5       TAS                0.0                1.0                9.0   \n",
       "6       VIC               16.0               19.0               98.0   \n",
       "7        WA               11.0               12.0               14.0   \n",
       "8  National              116.0              239.0              663.0   \n",
       "\n",
       "   Installation_2004  Installation_2005  Installation_2006  Installation_2007  \\\n",
       "0                4.0                3.0               17.0               57.0   \n",
       "1              233.0              289.0              209.0              770.0   \n",
       "2               22.0               38.0               23.0               26.0   \n",
       "3              324.0              337.0              195.0              475.0   \n",
       "4              299.0              376.0              413.0             1036.0   \n",
       "5               17.0               13.0                4.0               25.0   \n",
       "6              152.0              253.0              200.0              827.0   \n",
       "7               32.0               89.0               53.0              260.0   \n",
       "8             1083.0             1398.0             1114.0             3476.0   \n",
       "\n",
       "   Installation_2008  Installation_2009  ...  Output_2018  Output_2019  \\\n",
       "0              279.0              779.0  ...    23699.539    31981.595   \n",
       "1             2890.0            14047.0  ...   424808.546   589636.419   \n",
       "2               88.0              215.0  ...    20175.539    28757.926   \n",
       "3             3086.0            18279.0  ...   407307.848   564857.251   \n",
       "4             3453.0             8566.0  ...   174267.020   222755.718   \n",
       "5              161.0             1451.0  ...    18884.490    20490.605   \n",
       "6             2035.0             8412.0  ...   337399.313   459239.135   \n",
       "7             2061.0            11144.0  ...   210001.456   245980.933   \n",
       "8            14053.0            62893.0  ...  1616543.751  2163699.582   \n",
       "\n",
       "   Output_2020  Output_2021  Installation_Total  Installation_AVG  \\\n",
       "0    48551.753    18432.790             35166.0       1674.571429   \n",
       "1   888991.744   354311.018            691361.0      32921.952381   \n",
       "2    27326.741     4256.450             18457.0        878.904762   \n",
       "3   748137.514   276312.516            793327.0      37777.476190   \n",
       "4   300960.138    90375.169            317458.0      15117.047619   \n",
       "5    26492.783    10080.465             41385.0       1970.714286   \n",
       "6   565191.639   203182.578            545863.0      25993.476190   \n",
       "7   333933.556   126842.460            387873.0      18470.142857   \n",
       "8  2939585.868  1083793.446           2830890.0     134804.285714   \n",
       "\n",
       "   Output_Total    Output_AVG   rebate_AVG  weekly_income_AVG  \n",
       "0  1.980842e+05    9904.21155  3185.000000               2860  \n",
       "1  3.688013e+06  184400.62790  3194.864650               2657  \n",
       "2  1.356036e+05    6780.18175  3524.111111               3132  \n",
       "3  3.979318e+06  198965.88380  3219.348837               2209  \n",
       "4  1.626881e+06   81344.03880  3208.547401               2058  \n",
       "5  1.935642e+05    9678.20860  2730.000000               1891  \n",
       "6  2.783785e+06  139189.23265  2925.839311               2359  \n",
       "7  1.773919e+06   88695.96135  3212.641509               2563  \n",
       "8  1.437917e+07  718958.34640          NaN                  0  \n",
       "\n",
       "[9 rows x 49 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgu_state_df = pd.merge(sgu_state_df,rebate_avg, on ='state', how='outer')\n",
    "sgu_state_df=sgu_state_df.rename(columns={\"rebate\":\"rebate_AVG\"})\n",
    "#Weekly Average Household Gross Income in financial year 2018 by state (https://www.statista.com/statistics/798163/australia-mean-income-by-state/)\n",
    "sgu_state_df['weekly_income_AVG'] = [2860,2657,3132,2209,2058,1891,2359,2563,0]\n",
    "sgu_state_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# combined_df.to_csv(r'static/data/SGU/combined.csv', index = False, header=True)\n",
    "# Installation_df.to_csv(r'static/data/SGU/Installation.csv', index = False, header=True)\n",
    "# rebate_df.to_csv(\"static/data/rebate_df.csv\", index=False)\n",
    "# income_df.to_csv(\"static/data/income_df.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Export DataFrames to SQLite tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Establish database connection\n",
    "engine = create_engine('sqlite:///SQL/SGU.sqlite')\n",
    "conn = engine.connect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our installation table\n",
    "class Installation(Base):\n",
    "    __tablename__ = 'installation'\n",
    "    postcode = Column(Integer, primary_key=True)\n",
    "    _2001 = Column(Float)\n",
    "    _2002 = Column(Float)\n",
    "    _2003 = Column(Float)\n",
    "    _2004 = Column(Float)\n",
    "    _2005 = Column(Float)\n",
    "    _2006 = Column(Float)\n",
    "    _2007 = Column(Float)\n",
    "    _2008 = Column(Float)\n",
    "    _2009 = Column(Float)\n",
    "    _2010 = Column(Float)\n",
    "    _2011 = Column(Float)\n",
    "    _2012 = Column(Float)\n",
    "    _2013 = Column(Float)\n",
    "    _2014 = Column(Float)\n",
    "    _2015 = Column(Float)\n",
    "    _2016 = Column(Float)\n",
    "    _2017 = Column(Float)\n",
    "    _2018 = Column(Float)\n",
    "    _2019 = Column(Float)\n",
    "    _2020 = Column(Float)\n",
    "    _2021 = Column(Float)\n",
    "    AVG = Column(Float)\n",
    "    Total = Column(Float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our output table\n",
    "class Output(Base):\n",
    "    __tablename__ = 'output'\n",
    "    postcode = Column(Integer, primary_key=True)\n",
    "    _2001 = Column(Float)\n",
    "    _2002 = Column(Float)\n",
    "    _2003 = Column(Float)\n",
    "    _2004 = Column(Float)\n",
    "    _2005 = Column(Float)\n",
    "    _2006 = Column(Float)\n",
    "    _2007 = Column(Float)\n",
    "    _2008 = Column(Float)\n",
    "    _2009 = Column(Float)\n",
    "    _2010 = Column(Float)\n",
    "    _2011 = Column(Float)\n",
    "    _2012 = Column(Float)\n",
    "    _2013 = Column(Float)\n",
    "    _2014 = Column(Float)\n",
    "    _2015 = Column(Float)\n",
    "    _2016 = Column(Float)\n",
    "    _2017 = Column(Float)\n",
    "    _2018 = Column(Float)\n",
    "    _2019 = Column(Float)\n",
    "    _2020 = Column(Float)\n",
    "    _2021 = Column(Float)\n",
    "    AVG = Column(Float)\n",
    "    Total = Column(Float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our rebate table\n",
    "class Rebate(Base):\n",
    "    __tablename__ = 'rebate'\n",
    "    postcode = Column(Integer, primary_key=True)\n",
    "    zone = Column(Float)\n",
    "    rating = Column(Float)\n",
    "    annual_prod = Column(Float)\n",
    "    rebate = Column(Float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our income table\n",
    "class Income(Base):\n",
    "    __tablename__ = 'income'\n",
    "    Postcode = Column(Integer, primary_key=True)\n",
    "    Average_total = Column(Float)\n",
    "    Average_salary = Column(Float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our income table\n",
    "class Suburbs(Base):\n",
    "    __tablename__ = 'suburbs'\n",
    "    postcode = Column(Integer)\n",
    "    installations = Column(Integer)\n",
    "    output = Column(Float)\n",
    "    suburb_id = Column(Integer, primary_key=True)\n",
    "    suburb = Column(String)\n",
    "    state = Column(String)\n",
    "    long = Column(Float)\n",
    "    lat = Column(Float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our sgu table\n",
    "class SGU(Base):\n",
    "    __tablename__ = 'sgu'\n",
    "    postcode = Column(Integer, primary_key=True)\n",
    "    Installation_2001 = Column(Float)\n",
    "    Installation_2002 = Column(Float)\n",
    "    Installation_2003 = Column(Float)\n",
    "    Installation_2004 = Column(Float)\n",
    "    Installation_2005 = Column(Float)\n",
    "    Installation_2006 = Column(Float)\n",
    "    Installation_2007 = Column(Float)\n",
    "    Installation_2008 = Column(Float)\n",
    "    Installation_2009 = Column(Float)\n",
    "    Installation_2010 = Column(Float)\n",
    "    Installation_2011 = Column(Float)\n",
    "    Installation_2012 = Column(Float)\n",
    "    Installation_2013 = Column(Float)\n",
    "    Installation_2014 = Column(Float)\n",
    "    Installation_2015 = Column(Float)\n",
    "    Installation_2016 = Column(Float)\n",
    "    Installation_2017 = Column(Float)\n",
    "    Installation_2018 = Column(Float)\n",
    "    Installation_2019 = Column(Float)\n",
    "    Installation_2020 = Column(Float)\n",
    "    Installation_2021 = Column(Float)\n",
    "    Output_2001 = Column(Float)\n",
    "    Output_2002 = Column(Float)\n",
    "    Output_2003 = Column(Float)\n",
    "    Output_2004 = Column(Float)\n",
    "    Output_2005 = Column(Float)\n",
    "    Output_2006 = Column(Float)\n",
    "    Output_2007 = Column(Float)\n",
    "    Output_2008 = Column(Float)\n",
    "    Output_2009 = Column(Float)\n",
    "    Output_2010 = Column(Float)\n",
    "    Output_2011 = Column(Float)\n",
    "    Output_2012 = Column(Float)\n",
    "    Output_2013 = Column(Float)\n",
    "    Output_2014 = Column(Float)\n",
    "    Output_2015 = Column(Float)\n",
    "    Output_2016 = Column(Float)\n",
    "    Output_2017 = Column(Float)\n",
    "    Output_2018 = Column(Float)\n",
    "    Output_2019 = Column(Float)\n",
    "    Output_2020 = Column(Float)\n",
    "    Output_2021 = Column(Float)\n",
    "    Installation_Total = Column(Float)\n",
    "    Installation_AVG = Column(Float)\n",
    "    Output_Total = Column(Float)\n",
    "    Output_AVG = Column(Float)\n",
    "    zone = Column(Float)\n",
    "    rating = Column(Float)\n",
    "    annual_prod = Column(Float)\n",
    "    rebate = Column(Float)\n",
    "    Average_total = Column(Float)\n",
    "    Average_salary = Column(Float)\n",
    "    suburb = Column(String)\n",
    "    state = Column(String)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our sgu table\n",
    "class STATE(Base):\n",
    "    __tablename__ = 'state'\n",
    "    state = Column(String, primary_key=True)\n",
    "    Installation_2001 = Column(Float)\n",
    "    Installation_2002 = Column(Float)\n",
    "    Installation_2003 = Column(Float)\n",
    "    Installation_2004 = Column(Float)\n",
    "    Installation_2005 = Column(Float)\n",
    "    Installation_2006 = Column(Float)\n",
    "    Installation_2007 = Column(Float)\n",
    "    Installation_2008 = Column(Float)\n",
    "    Installation_2009 = Column(Float)\n",
    "    Installation_2010 = Column(Float)\n",
    "    Installation_2011 = Column(Float)\n",
    "    Installation_2012 = Column(Float)\n",
    "    Installation_2013 = Column(Float)\n",
    "    Installation_2014 = Column(Float)\n",
    "    Installation_2015 = Column(Float)\n",
    "    Installation_2016 = Column(Float)\n",
    "    Installation_2017 = Column(Float)\n",
    "    Installation_2018 = Column(Float)\n",
    "    Installation_2019 = Column(Float)\n",
    "    Installation_2020 = Column(Float)\n",
    "    Installation_2021 = Column(Float)\n",
    "    Output_2001 = Column(Float)\n",
    "    Output_2002 = Column(Float)\n",
    "    Output_2003 = Column(Float)\n",
    "    Output_2004 = Column(Float)\n",
    "    Output_2005 = Column(Float)\n",
    "    Output_2006 = Column(Float)\n",
    "    Output_2007 = Column(Float)\n",
    "    Output_2008 = Column(Float)\n",
    "    Output_2009 = Column(Float)\n",
    "    Output_2010 = Column(Float)\n",
    "    Output_2011 = Column(Float)\n",
    "    Output_2012 = Column(Float)\n",
    "    Output_2013 = Column(Float)\n",
    "    Output_2014 = Column(Float)\n",
    "    Output_2015 = Column(Float)\n",
    "    Output_2016 = Column(Float)\n",
    "    Output_2017 = Column(Float)\n",
    "    Output_2018 = Column(Float)\n",
    "    Output_2019 = Column(Float)\n",
    "    Output_2020 = Column(Float)\n",
    "    Output_2021 = Column(Float)\n",
    "    Installation_Total = Column(Float)\n",
    "    Installation_AVG = Column(Float)\n",
    "    Output_Total = Column(Float)\n",
    "    Output_AVG = Column(Float)\n",
    "    rebate_AVG = Column(Float)\n",
    "    weekly_income_AVG = Column(Float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the tables within the database\n",
    "Base.metadata.create_all(engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load data into tables\n",
    "Installation_df.to_sql('installation', engine, if_exists=\"append\", index=False)\n",
    "Output_df.to_sql('output', engine, if_exists=\"append\", index=False)\n",
    "income_df.to_sql('income', engine, if_exists=\"append\", index=False)\n",
    "rebate_df.to_sql('rebate', engine, if_exists=\"append\", index=False)\n",
    "suburb_df.to_sql('suburbs', engine, if_exists=\"append\", index=False)\n",
    "df.to_sql('sgu', engine, if_exists=\"append\", index=False)\n",
    "sgu_state_df.to_sql('state', engine, if_exists=\"append\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reflect the database tables\n",
    "Base = automap_base()\n",
    "Base.prepare(engine, reflect=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['income', 'installation', 'output', 'rebate', 'sgu', 'state', 'suburbs']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print all of the classes mapped to the Base\n",
    "Base.classes.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a session\n",
    "session = Session(engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assign the classes to related variable\n",
    "Install = Base.classes.installation\n",
    "Output = Base.classes.output\n",
    "Income = Base.classes.income\n",
    "Rebate = Base.classes.rebate\n",
    "Suburbs = Base.classes.suburbs\n",
    "SGU = Base.classes.sgu\n",
    "STATE = Base.classes.state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 0.19047619047619047, 4.0)\n",
      "(200, 0.047619047619047616, 1.0)\n",
      "(800, 5.190476190476191, 109.0)\n",
      "(801, 0.38095238095238093, 8.0)\n",
      "(803, 0.09523809523809523, 2.0)\n",
      "(804, 0.7142857142857143, 15.0)\n",
      "(810, 156.85714285714286, 3294.0)\n",
      "(811, 0.09523809523809523, 2.0)\n",
      "(812, 86.23809523809524, 1811.0)\n",
      "(813, 0.3333333333333333, 7.0)\n",
      "(814, 0.19047619047619047, 4.0)\n",
      "(820, 52.23809523809524, 1097.0)\n",
      "(821, 0.3333333333333333, 7.0)\n",
      "(822, 41.904761904761905, 880.0)\n",
      "(828, 11.476190476190476, 241.0)\n",
      "(829, 1.7142857142857142, 36.0)\n",
      "(830, 92.47619047619048, 1942.0)\n",
      "(831, 0.42857142857142855, 9.0)\n",
      "(832, 107.38095238095238, 2255.0)\n",
      "(834, 11.142857142857142, 234.0)\n"
     ]
    }
   ],
   "source": [
    "# Use the session to query Install table \n",
    "for row in session.query(Install.postcode, Install.AVG, Install.Total).limit(20).all():\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 0.2123809523809524, 4.46)\n",
      "(200, 0.0038095238095238095, 0.08)\n",
      "(800, 123.59904761904761, 2595.58)\n",
      "(801, 11.183714285714286, 234.858)\n",
      "(803, 0.5564285714285715, 11.685)\n",
      "(804, 3.72904761904762, 78.31000000000002)\n",
      "(810, 1010.4450476190475, 21219.345999999998)\n",
      "(811, 0.42857142857142855, 9.0)\n",
      "(812, 529.1911904761905, 11113.015000000001)\n",
      "(813, 4.073761904761904, 85.54899999999998)\n",
      "(814, 0.8685714285714287, 18.240000000000002)\n",
      "(820, 544.8573333333334, 11442.004)\n",
      "(821, 7.443, 156.303)\n",
      "(822, 440.00828571428576, 9240.174)\n",
      "(828, 166.77338095238096, 3502.241)\n",
      "(829, 42.42285714285714, 890.8799999999999)\n",
      "(830, 586.6249523809524, 12319.124000000002)\n",
      "(831, 1.856190476190476, 38.98)\n",
      "(832, 642.1968571428572, 13486.134)\n",
      "(834, 81.1372380952381, 1703.882)\n"
     ]
    }
   ],
   "source": [
    "# Use the session to query Output table\n",
    "for row in session.query(Output.postcode, Output.AVG, Output.Total).limit(20).all():    \n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(800, 98643.0, 88445.0)\n",
      "(801, 120690.0, 85064.0)\n",
      "(804, 108716.0, 89647.0)\n",
      "(810, 94079.0, 78351.0)\n",
      "(811, 119181.0, 90769.0)\n",
      "(812, 91317.0, 77295.0)\n",
      "(813, 95978.0, 74204.0)\n",
      "(814, 101270.0, 75812.0)\n",
      "(820, 109705.0, 86091.0)\n",
      "(821, 113869.0, 73432.0)\n",
      "(822, 81500.0, 67159.0)\n",
      "(828, 87373.0, 70250.0)\n",
      "(829, 82589.0, 73661.0)\n",
      "(830, 94593.0, 82383.0)\n",
      "(831, 97750.0, 84868.0)\n",
      "(832, 97250.0, 89353.0)\n",
      "(834, 96174.0, 77691.0)\n",
      "(835, 101751.0, 82973.0)\n",
      "(836, 99001.0, 82926.0)\n",
      "(837, 92703.0, 68587.0)\n"
     ]
    }
   ],
   "source": [
    "# Use the session to query Income table\n",
    "for row in session.query(Income.Postcode, Income.Average_total, Income.Average_salary).limit(20).all():\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(200, 3.0, 1.382, 3185.0)\n",
      "(800, 2.0, 1.536, 3535.0)\n",
      "(801, 2.0, 1.536, 3535.0)\n",
      "(804, 2.0, 1.536, 3535.0)\n",
      "(810, 2.0, 1.536, 3535.0)\n",
      "(811, 2.0, 1.536, 3535.0)\n",
      "(812, 2.0, 1.536, 3535.0)\n",
      "(813, 2.0, 1.536, 3535.0)\n",
      "(814, 2.0, 1.536, 3535.0)\n",
      "(815, 2.0, 1.536, 3535.0)\n",
      "(820, 2.0, 1.536, 3535.0)\n",
      "(821, 2.0, 1.536, 3535.0)\n",
      "(822, 2.0, 1.536, 3535.0)\n",
      "(828, 2.0, 1.536, 3535.0)\n",
      "(829, 2.0, 1.536, 3535.0)\n",
      "(830, 2.0, 1.536, 3535.0)\n",
      "(831, 2.0, 1.536, 3535.0)\n",
      "(832, 2.0, 1.536, 3535.0)\n",
      "(834, 2.0, 1.536, 3535.0)\n",
      "(835, 2.0, 1.536, 3535.0)\n"
     ]
    }
   ],
   "source": [
    "# Use the session to query Rebate table\n",
    "for row in session.query(Rebate.postcode, Rebate.zone, Rebate.rating, Rebate.rebate).limit(20).all():\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2769, 2240, 12854.318, 6, 'THE PONDS', 'NSW', 150.9054927, -33.7054643)\n",
      "(3477, 151, 650.868, 7, 'AVON PLAINS', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 8, 'BEAZLEYS BRIDGE', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 9, 'CARAPOOEE', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 10, 'CARAPOOEE WEST', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 11, 'COONOOER BRIDGE', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 12, 'COONOOER WEST', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 13, 'DALYENONG', 'VIC', 143.4180029, -36.8061787)\n",
      "(3477, 151, 650.868, 14, 'GOOROC', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 15, 'GOWAR EAST', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 16, 'GRAYS BRIDGE', 'VIC', 142.8997503, -36.61840529)\n",
      "(3477, 151, 650.868, 17, 'GRE GRE', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 18, 'GRE GRE NORTH', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 19, 'GRE GRE SOUTH', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 20, 'KOOREH', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 21, 'MARNOO EAST', 'VIC', 142.9563966, -36.65690656)\n",
      "(3477, 151, 650.868, 22, 'MOOLERR', 'VIC', 143.230699, -36.688551)\n",
      "(3477, 151, 650.868, 23, 'MOYREISK', 'VIC', 143.412675, -37.105993)\n",
      "(3477, 151, 650.868, 24, 'PARADISE', 'VIC', 142.7154, -36.988914)\n",
      "(3477, 151, 650.868, 25, 'REDBANK', 'VIC', 143.230699, -36.688551)\n"
     ]
    }
   ],
   "source": [
    "# Use the session to query Suburbs table\n",
    "for row in session.query(Suburbs.postcode, Suburbs.installations, Suburbs.output, Suburbs.suburb_id, Suburbs.suburb, Suburbs.state, Suburbs.long, Suburbs.lat).limit(20).all():\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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