Part 1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TABLE 1 CLEAN UP\n",
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import csv\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "# %matplotlib notebook                 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Open reosurces file\n",
    "table1_path = os.path.join(\"Resources\", \"Raw Data\", \"Table 1 - US-oilexports.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Date</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jan-1920</td>\n",
       "      <td>469.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Feb-1920</td>\n",
       "      <td>853.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mar-1920</td>\n",
       "      <td>892.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Apr-1920</td>\n",
       "      <td>693.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>May-1920</td>\n",
       "      <td>761.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Jun-1920</td>\n",
       "      <td>627.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jul-1920</td>\n",
       "      <td>723.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aug-1920</td>\n",
       "      <td>553.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sep-1920</td>\n",
       "      <td>790.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Oct-1920</td>\n",
       "      <td>777.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Date  U.S. Exports of Crude Oil (Thousand Barrels)\n",
       "0  Jan-1920                                         469.0\n",
       "1  Feb-1920                                         853.0\n",
       "2  Mar-1920                                         892.0\n",
       "3  Apr-1920                                         693.0\n",
       "4  May-1920                                         761.0\n",
       "5  Jun-1920                                         627.0\n",
       "6  Jul-1920                                         723.0\n",
       "7  Aug-1920                                         553.0\n",
       "8  Sep-1920                                         790.0\n",
       "9  Oct-1920                                         777.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read csv\n",
    "table1_data = pd.read_csv(table1_path, header=0, skiprows=2)\n",
    "\n",
    "# Extract column of interest\n",
    "table1_df = pd.DataFrame(table1_data, columns= ['Date','U.S. Exports of Crude Oil (Thousand Barrels)'])\n",
    "table1_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "date = table1_df[\"Date\"]\n",
    "crude_export = table1_df[\"U.S. Exports of Crude Oil (Thousand Barrels)\"]\n",
    "\n",
    "# Since date is in MMM-YYYY format, convert to dtype Datetime64[ns]\n",
    "date_64ns = pd.to_datetime(table1_df[\"Date\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get rid of the minutes and seconds\n",
    "formated_date_list = []\n",
    "\n",
    "for item in date_64ns:\n",
    "    date_clean = str(item)[:10]\n",
    "    formated_date_list.append(date_clean)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Date</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1920-01-01</td>\n",
       "      <td>469.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1920-02-01</td>\n",
       "      <td>853.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1920-03-01</td>\n",
       "      <td>892.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1920-04-01</td>\n",
       "      <td>693.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1920-05-01</td>\n",
       "      <td>761.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  U.S. Exports of Crude Oil (Thousand Barrels)\n",
       "0  1920-01-01                                         469.0\n",
       "1  1920-02-01                                         853.0\n",
       "2  1920-03-01                                         892.0\n",
       "3  1920-04-01                                         693.0\n",
       "4  1920-05-01                                         761.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create new data, Date is in datetime type\n",
    "table1_df_clean =  pd.DataFrame({\n",
    "                        \"Date\": formated_date_list,\n",
    "                        \"U.S. Exports of Crude Oil (Thousand Barrels)\": crude_export\n",
    "                       })\n",
    "\n",
    "\n",
    "\n",
    "#Drop NaN rows\n",
    "table1_df_clean.dropna(inplace=True) \n",
    "table1_df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert date to datetime dtype and format YY-MM-DD\n",
    "table1_df_clean['Date_dt'] = pd.to_datetime(table1_df_clean['Date'], format='%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                                            datetime64[ns]\n",
       "U.S. Exports of Crude Oil (Thousand Barrels)           float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Set start date\n",
    "sdate = dt.datetime(2005,1,1)   # start date\n",
    "edate = dt.datetime(2019,12,30)   # end date\n",
    "\n",
    "table1_range = table1_df_clean[(table1_df_clean['Date_dt']>=sdate ) & (table1_df_clean['Date_dt']<= edate)]\n",
    "table1_clean = table1_range[[\"Date_dt\", \"U.S. Exports of Crude Oil (Thousand Barrels)\"]]\n",
    "table1_final = table1_clean.rename(columns={ \"Date_dt\" : \"Date\"})\n",
    "table1_final.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export leaned table 1 to csv\n",
    "table1_final.to_csv(\"Resources/Clean Data/Table 1.csv\", index=False)                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This analysis only includes Crude Oil and exclude NG exports"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TABLE 1B CLEAN UP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "table1B_path = os.path.join(\"Resources\", \"Raw Data\", \"Table 1B - U.S._Field_Production_of_Crude_Oil.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Date</th>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels per Day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aug-20</td>\n",
       "      <td>10579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jul-20</td>\n",
       "      <td>10980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jun-20</td>\n",
       "      <td>10442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>May-20</td>\n",
       "      <td>10019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Apr-20</td>\n",
       "      <td>12010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1203</th>\n",
       "      <td>May-20</td>\n",
       "      <td>1181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1204</th>\n",
       "      <td>Apr-20</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1205</th>\n",
       "      <td>Mar-20</td>\n",
       "      <td>1167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1206</th>\n",
       "      <td>Feb-20</td>\n",
       "      <td>1145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1207</th>\n",
       "      <td>Jan-20</td>\n",
       "      <td>1097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1208 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  U.S. Field Production of Crude Oil Thousand Barrels per Day\n",
       "0     Aug-20                                              10579          \n",
       "1     Jul-20                                              10980          \n",
       "2     Jun-20                                              10442          \n",
       "3     May-20                                              10019          \n",
       "4     Apr-20                                              12010          \n",
       "...      ...                                                ...          \n",
       "1203  May-20                                               1181          \n",
       "1204  Apr-20                                               1165          \n",
       "1205  Mar-20                                               1167          \n",
       "1206  Feb-20                                               1145          \n",
       "1207  Jan-20                                               1097          \n",
       "\n",
       "[1208 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read csv\n",
    "table1B_data = pd.read_csv(table1B_path, header=0, skiprows=4)\n",
    "\n",
    "# Extract column of interest\n",
    "table1B_df = pd.DataFrame(table1B_data)\n",
    "\n",
    "table1B_rename = table1B_df.rename(columns={ \"Month\" : \"Date\"})\n",
    "\n",
    "table1B_rename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                                                           datetime64[ns]\n",
       "U.S. Field Production of Crude Oil Thousand Barrels per Day             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table1B_rename['Date'] = pd.to_datetime(table1B_rename[\"Date\"], format='%b-%y')\n",
    "table1B_rename.head()\n",
    "table1B_rename.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Date</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels per Day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>1239.0</td>\n",
       "      <td>5446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2005-02-01</td>\n",
       "      <td>541.0</td>\n",
       "      <td>5501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>1111.0</td>\n",
       "      <td>5601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005-04-01</td>\n",
       "      <td>1345.0</td>\n",
       "      <td>5563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005-05-01</td>\n",
       "      <td>1694.0</td>\n",
       "      <td>5596</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  U.S. Exports of Crude Oil (Thousand Barrels)  \\\n",
       "0 2005-01-01                                        1239.0   \n",
       "1 2005-02-01                                         541.0   \n",
       "2 2005-03-01                                        1111.0   \n",
       "3 2005-04-01                                        1345.0   \n",
       "4 2005-05-01                                        1694.0   \n",
       "\n",
       "   U.S. Field Production of Crude Oil Thousand Barrels per Day  \n",
       "0                                               5446            \n",
       "1                                               5501            \n",
       "2                                               5601            \n",
       "3                                               5563            \n",
       "4                                               5596            "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge_1_1B = pd.merge(table1_final, table1B_rename, on=\"Date\", how=\"left\")\n",
    "merge_1_1B.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export 1b csv\n",
    "table1B_rename.to_csv(\"Resources/Clean Data/Table 1b.csv\", index=False)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TABLE 3 CLEAN UP\n",
    "-----\n",
    "This table contains **US dollar index**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Open reosurces file\n",
    "table3_path = os.path.join(\"Resources\", \"Raw Data\", \"Table 3 - US-dollar-index-historical-chart.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read csv\n",
    "table3_data = pd.read_csv(table3_path, header=0, skiprows=15)\n",
    "\n",
    "# Extract column of interest\n",
    "table3_df = pd.DataFrame(table3_data).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert date to datetime dtype and format YY-MM-DD\n",
    "table3_df['Date_dt'] = pd.to_datetime(table3_df['date'], format='%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Date</th>\n",
       "      <th>US Dollars Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>95.450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2005-02-01</td>\n",
       "      <td>95.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>95.307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2005-04-01</td>\n",
       "      <td>96.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2005-05-01</td>\n",
       "      <td>96.470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>2019-08-01</td>\n",
       "      <td>102.809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>102.766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>2019-10-01</td>\n",
       "      <td>102.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>101.954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>101.464</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  US Dollars Index\n",
       "384 2005-01-01            95.450\n",
       "385 2005-02-01            95.698\n",
       "386 2005-03-01            95.307\n",
       "387 2005-04-01            96.234\n",
       "388 2005-05-01            96.470\n",
       "..         ...               ...\n",
       "559 2019-08-01           102.809\n",
       "560 2019-09-01           102.766\n",
       "561 2019-10-01           102.203\n",
       "562 2019-11-01           101.954\n",
       "563 2019-12-01           101.464\n",
       "\n",
       "[180 rows x 2 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Set start date\n",
    "sdate = dt.datetime(2005,1,1)   # start date\n",
    "edate = dt.datetime(2019,12,30)   # end date\n",
    "\n",
    "table3_range = table3_df[(table3_df['Date_dt']>=sdate ) & (table3_df['Date_dt']<= edate)]\n",
    "\n",
    "\n",
    "# Change header name\n",
    "table3_clean = table3_range.rename(columns={ \"Date_dt\" : \"Date\", \" value\" : \"US Dollars Index\"})\n",
    "table3_final = table3_clean[[\"Date\", \"US Dollars Index\"]]\n",
    "table3_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export leaned table 3 to csv\n",
    "table3_final.to_csv(\"Resources/Clean Data/Table 3.csv\", index=False)                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Date</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels per Day</th>\n",
       "      <th>US Dollars Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>1239.0</td>\n",
       "      <td>5446</td>\n",
       "      <td>95.450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2005-02-01</td>\n",
       "      <td>541.0</td>\n",
       "      <td>5501</td>\n",
       "      <td>95.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>1111.0</td>\n",
       "      <td>5601</td>\n",
       "      <td>95.307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005-04-01</td>\n",
       "      <td>1345.0</td>\n",
       "      <td>5563</td>\n",
       "      <td>96.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005-05-01</td>\n",
       "      <td>1694.0</td>\n",
       "      <td>5596</td>\n",
       "      <td>96.470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>79830.0</td>\n",
       "      <td>11865</td>\n",
       "      <td>100.401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>83721.0</td>\n",
       "      <td>11679</td>\n",
       "      <td>100.403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>83196.0</td>\n",
       "      <td>11937</td>\n",
       "      <td>100.772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2019-04-01</td>\n",
       "      <td>85276.0</td>\n",
       "      <td>12135</td>\n",
       "      <td>100.746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>89908.0</td>\n",
       "      <td>12163</td>\n",
       "      <td>101.603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>173 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  U.S. Exports of Crude Oil (Thousand Barrels)  \\\n",
       "0   2005-01-01                                        1239.0   \n",
       "1   2005-02-01                                         541.0   \n",
       "2   2005-03-01                                        1111.0   \n",
       "3   2005-04-01                                        1345.0   \n",
       "4   2005-05-01                                        1694.0   \n",
       "..         ...                                           ...   \n",
       "168 2019-01-01                                       79830.0   \n",
       "169 2019-02-01                                       83721.0   \n",
       "170 2019-03-01                                       83196.0   \n",
       "171 2019-04-01                                       85276.0   \n",
       "172 2019-05-01                                       89908.0   \n",
       "\n",
       "     U.S. Field Production of Crude Oil Thousand Barrels per Day  \\\n",
       "0                                                 5446             \n",
       "1                                                 5501             \n",
       "2                                                 5601             \n",
       "3                                                 5563             \n",
       "4                                                 5596             \n",
       "..                                                 ...             \n",
       "168                                              11865             \n",
       "169                                              11679             \n",
       "170                                              11937             \n",
       "171                                              12135             \n",
       "172                                              12163             \n",
       "\n",
       "     US Dollars Index  \n",
       "0              95.450  \n",
       "1              95.698  \n",
       "2              95.307  \n",
       "3              96.234  \n",
       "4              96.470  \n",
       "..                ...  \n",
       "168           100.401  \n",
       "169           100.403  \n",
       "170           100.772  \n",
       "171           100.746  \n",
       "172           101.603  \n",
       "\n",
       "[173 rows x 4 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge with Table 1\n",
    "merge_1_1B_3 = pd.merge(merge_1_1B, table3_final, on=\"Date\", how=\"left\")\n",
    "merge_1_1B_3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TABLE 7 CLEAN UP\n",
    "\n",
    "This table contains US GDP from **Oil Export**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Open reosurces file\n",
    "table7_path = os.path.join(\"Resources\", \"Raw Data\", \"Table 7 - US GDP Data By Q.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Last Revised on: September 30, 2020</th>\n",
       "      <th>Unnamed: 1</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "      <th>Unnamed: 5</th>\n",
       "      <th>Unnamed: 6</th>\n",
       "      <th>Unnamed: 7</th>\n",
       "      <th>Unnamed: 8</th>\n",
       "      <th>Unnamed: 9</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 54</th>\n",
       "      <th>Unnamed: 55</th>\n",
       "      <th>Unnamed: 56</th>\n",
       "      <th>Unnamed: 57</th>\n",
       "      <th>Unnamed: 58</th>\n",
       "      <th>Unnamed: 59</th>\n",
       "      <th>Unnamed: 60</th>\n",
       "      <th>Unnamed: 61</th>\n",
       "      <th>Unnamed: 62</th>\n",
       "      <th>Unnamed: 63</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Line</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006</td>\n",
       "      <td>...</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>2020</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Line</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q1</td>\n",
       "      <td>Q2</td>\n",
       "      <td>Q3</td>\n",
       "      <td>Q4</td>\n",
       "      <td>Q1</td>\n",
       "      <td>Q2</td>\n",
       "      <td>Q3</td>\n",
       "      <td>Q4</td>\n",
       "      <td>...</td>\n",
       "      <td>Q1</td>\n",
       "      <td>Q2</td>\n",
       "      <td>Q3</td>\n",
       "      <td>Q4</td>\n",
       "      <td>Q1</td>\n",
       "      <td>Q2</td>\n",
       "      <td>Q3</td>\n",
       "      <td>Q4</td>\n",
       "      <td>Q1</td>\n",
       "      <td>Q2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Gross domestic product</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>12910</td>\n",
       "      <td>13142.9</td>\n",
       "      <td>13332.3</td>\n",
       "      <td>13603.9</td>\n",
       "      <td>13749.8</td>\n",
       "      <td>13867.5</td>\n",
       "      <td>14037.2</td>\n",
       "      <td>...</td>\n",
       "      <td>20242.2</td>\n",
       "      <td>20552.7</td>\n",
       "      <td>20742.7</td>\n",
       "      <td>20909.9</td>\n",
       "      <td>21115.3</td>\n",
       "      <td>21329.9</td>\n",
       "      <td>21540.3</td>\n",
       "      <td>21747.4</td>\n",
       "      <td>21561.1</td>\n",
       "      <td>19520.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7</td>\n",
       "      <td>Oil and gas extraction</td>\n",
       "      <td>133.5</td>\n",
       "      <td>143.7</td>\n",
       "      <td>160.6</td>\n",
       "      <td>186.3</td>\n",
       "      <td>181.2</td>\n",
       "      <td>179.5</td>\n",
       "      <td>180.7</td>\n",
       "      <td>174.2</td>\n",
       "      <td>...</td>\n",
       "      <td>201.5</td>\n",
       "      <td>212.7</td>\n",
       "      <td>226.2</td>\n",
       "      <td>218.8</td>\n",
       "      <td>198.1</td>\n",
       "      <td>199.5</td>\n",
       "      <td>186</td>\n",
       "      <td>188.8</td>\n",
       "      <td>138.8</td>\n",
       "      <td>49.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Last Revised on: September 30, 2020                      Unnamed: 1  \\\n",
       "0                                Line                             NaN   \n",
       "1                                Line                             NaN   \n",
       "2                                   1          Gross domestic product   \n",
       "8                                   7          Oil and gas extraction   \n",
       "\n",
       "  Unnamed: 2 Unnamed: 3 Unnamed: 4 Unnamed: 5 Unnamed: 6 Unnamed: 7  \\\n",
       "0       2005       2005       2005       2005       2006       2006   \n",
       "1         Q1         Q2         Q3         Q4         Q1         Q2   \n",
       "2    12761.3      12910    13142.9    13332.3    13603.9    13749.8   \n",
       "8      133.5      143.7      160.6      186.3      181.2      179.5   \n",
       "\n",
       "  Unnamed: 8 Unnamed: 9  ... Unnamed: 54 Unnamed: 55 Unnamed: 56 Unnamed: 57  \\\n",
       "0       2006       2006  ...        2018        2018        2018        2018   \n",
       "1         Q3         Q4  ...          Q1          Q2          Q3          Q4   \n",
       "2    13867.5    14037.2  ...     20242.2     20552.7     20742.7     20909.9   \n",
       "8      180.7      174.2  ...       201.5       212.7       226.2       218.8   \n",
       "\n",
       "  Unnamed: 58 Unnamed: 59 Unnamed: 60 Unnamed: 61 Unnamed: 62 Unnamed: 63  \n",
       "0        2019        2019        2019        2019        2020        2020  \n",
       "1          Q1          Q2          Q3          Q4          Q1          Q2  \n",
       "2     21115.3     21329.9     21540.3     21747.4     21561.1     19520.1  \n",
       "8       198.1       199.5         186       188.8       138.8        49.7  \n",
       "\n",
       "[4 rows x 64 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read csv\n",
    "table7_data = pd.read_csv(table7_path, header=0, skiprows=3)\n",
    "\n",
    "# Extract column of interest\n",
    "table7_df = pd.DataFrame(table7_data).reset_index(drop=True)\n",
    "quarter_row = table7_df.iloc[:3]\n",
    "\n",
    "table7_df.dropna(how = \"any\", inplace = True)\n",
    "# # table7_clean = table7_df.loc[table7_df[\"Line\", \"Line,\"        Oil and gas extraction\"]]\n",
    "table_filter = table7_df[table7_df.columns[1]].str.contains(\"Oil\")\n",
    "\n",
    "# table_filter_2 = table7_df.iloc[0]\n",
    "new_table7_df = quarter_row.append(table7_df[table_filter])\n",
    "\n",
    "# table7_df.set_index(\"Line\", inplace=True)\n",
    "new_table7_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Transpose dataframe\n",
    "\n",
    "new_table7_df.drop(columns=[\"Last Revised on: September 30, 2020\", \"Unnamed: 1\"], inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <td>2005</td>\n",
       "      <td>Q1</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>133.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <td>2005</td>\n",
       "      <td>Q2</td>\n",
       "      <td>12910</td>\n",
       "      <td>143.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 4</th>\n",
       "      <td>2005</td>\n",
       "      <td>Q3</td>\n",
       "      <td>13142.9</td>\n",
       "      <td>160.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 5</th>\n",
       "      <td>2005</td>\n",
       "      <td>Q4</td>\n",
       "      <td>13332.3</td>\n",
       "      <td>186.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 6</th>\n",
       "      <td>2006</td>\n",
       "      <td>Q1</td>\n",
       "      <td>13603.9</td>\n",
       "      <td>181.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 59</th>\n",
       "      <td>2019</td>\n",
       "      <td>Q2</td>\n",
       "      <td>21329.9</td>\n",
       "      <td>199.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 60</th>\n",
       "      <td>2019</td>\n",
       "      <td>Q3</td>\n",
       "      <td>21540.3</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 61</th>\n",
       "      <td>2019</td>\n",
       "      <td>Q4</td>\n",
       "      <td>21747.4</td>\n",
       "      <td>188.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 62</th>\n",
       "      <td>2020</td>\n",
       "      <td>Q1</td>\n",
       "      <td>21561.1</td>\n",
       "      <td>138.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 63</th>\n",
       "      <td>2020</td>\n",
       "      <td>Q2</td>\n",
       "      <td>19520.1</td>\n",
       "      <td>49.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>62 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                0   1        2      8\n",
       "Unnamed: 2   2005  Q1  12761.3  133.5\n",
       "Unnamed: 3   2005  Q2    12910  143.7\n",
       "Unnamed: 4   2005  Q3  13142.9  160.6\n",
       "Unnamed: 5   2005  Q4  13332.3  186.3\n",
       "Unnamed: 6   2006  Q1  13603.9  181.2\n",
       "...           ...  ..      ...    ...\n",
       "Unnamed: 59  2019  Q2  21329.9  199.5\n",
       "Unnamed: 60  2019  Q3  21540.3    186\n",
       "Unnamed: 61  2019  Q4  21747.4  188.8\n",
       "Unnamed: 62  2020  Q1  21561.1  138.8\n",
       "Unnamed: 63  2020  Q2  19520.1   49.7\n",
       "\n",
       "[62 rows x 4 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_table7_df = new_table7_df.T\n",
    "clean_table7_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\navyh\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:17: 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",
      "C:\\Users\\navyh\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:19: 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"
     ]
    },
    {
     "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>Date</th>\n",
       "      <th>Gross domestic product</th>\n",
       "      <th>US GDP by Oil and Gas Extraction</th>\n",
       "      <th>GDP % from O&amp;G</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>133.5</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2005-04-01</td>\n",
       "      <td>12910</td>\n",
       "      <td>143.7</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005-07-01</td>\n",
       "      <td>13142.9</td>\n",
       "      <td>160.6</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005-10-01</td>\n",
       "      <td>13332.3</td>\n",
       "      <td>186.3</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2006-01-01</td>\n",
       "      <td>13603.9</td>\n",
       "      <td>181.2</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date Gross domestic product US GDP by Oil and Gas Extraction  \\\n",
       "0 2005-01-01                12761.3                            133.5   \n",
       "1 2005-04-01                  12910                            143.7   \n",
       "2 2005-07-01                13142.9                            160.6   \n",
       "3 2005-10-01                13332.3                            186.3   \n",
       "4 2006-01-01                13603.9                            181.2   \n",
       "\n",
       "  GDP % from O&G  \n",
       "0           1.05  \n",
       "1           1.11  \n",
       "2           1.22  \n",
       "3           1.40  \n",
       "4           1.33  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_table7_df[\"Date_1\"] = clean_table7_df[0] + \"-\" + clean_table7_df[1]\n",
    "clean_table7_df['Date'] = pd.to_datetime(clean_table7_df[\"Date_1\"])\n",
    "\n",
    "table7_final = clean_table7_df[[\"Date\", 2,8]]\n",
    "\n",
    "table7_final.columns = [\"Date\", \"Gross domestic product\", \"US GDP by Oil and Gas Extraction\"]\n",
    "table7_final.reset_index(drop = True, inplace = True)\n",
    "\n",
    "table7_final_2 = table7_final[(table7_final['Date']>= '2005-01-01' ) & (table7_final['Date']<= '2019-12-30')]\n",
    "\n",
    "\n",
    "gross = table7_final_2['Gross domestic product'].astype(float)\n",
    "gdp_og = table7_final_2['US GDP by Oil and Gas Extraction'].astype(float)\n",
    "\n",
    "gdp_percentage = gdp_og / gross * 100\n",
    "\n",
    "table7_final_2[\"GDP % from O&G\"] = gdp_percentage\n",
    "\n",
    "table7_final_2[\"GDP % from O&G\"] = table7_final_2[\"GDP % from O&G\"].map('{:,.2f}'.format)\n",
    "\n",
    "table7_final_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export leaned table 7 to csv\n",
    "table7_final_2.to_csv(\"Resources/Clean Data/Table 7.csv\", index=False)                "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MERGE TABLES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Date</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels per Day</th>\n",
       "      <th>US Dollars Index</th>\n",
       "      <th>Gross domestic product</th>\n",
       "      <th>US GDP by Oil and Gas Extraction</th>\n",
       "      <th>GDP % from O&amp;G</th>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>1239.0</td>\n",
       "      <td>5446</td>\n",
       "      <td>95.450</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>133.5</td>\n",
       "      <td>1.05</td>\n",
       "      <td>163380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2005-02-01</td>\n",
       "      <td>541.0</td>\n",
       "      <td>5501</td>\n",
       "      <td>95.698</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>1111.0</td>\n",
       "      <td>5601</td>\n",
       "      <td>95.307</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005-04-01</td>\n",
       "      <td>1345.0</td>\n",
       "      <td>5563</td>\n",
       "      <td>96.234</td>\n",
       "      <td>12910</td>\n",
       "      <td>143.7</td>\n",
       "      <td>1.11</td>\n",
       "      <td>166890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005-05-01</td>\n",
       "      <td>1694.0</td>\n",
       "      <td>5596</td>\n",
       "      <td>96.470</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>167880</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  U.S. Exports of Crude Oil (Thousand Barrels)  \\\n",
       "0 2005-01-01                                        1239.0   \n",
       "1 2005-02-01                                         541.0   \n",
       "2 2005-03-01                                        1111.0   \n",
       "3 2005-04-01                                        1345.0   \n",
       "4 2005-05-01                                        1694.0   \n",
       "\n",
       "   U.S. Field Production of Crude Oil Thousand Barrels per Day  \\\n",
       "0                                               5446             \n",
       "1                                               5501             \n",
       "2                                               5601             \n",
       "3                                               5563             \n",
       "4                                               5596             \n",
       "\n",
       "   US Dollars Index Gross domestic product US GDP by Oil and Gas Extraction  \\\n",
       "0            95.450                12761.3                            133.5   \n",
       "1            95.698                    NaN                              NaN   \n",
       "2            95.307                    NaN                              NaN   \n",
       "3            96.234                  12910                            143.7   \n",
       "4            96.470                    NaN                              NaN   \n",
       "\n",
       "  GDP % from O&G  U.S. Field Production of Crude Oil Thousand Barrels  \n",
       "0           1.05                                             163380    \n",
       "1            NaN                                             165030    \n",
       "2            NaN                                             168030    \n",
       "3           1.11                                             166890    \n",
       "4            NaN                                             167880    "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge_big = pd.merge(merge_1_1B_3, table7_final_2, on=\"Date\", how=\"left\")\n",
    "merge_big['U.S. Field Production of Crude Oil Thousand Barrels'] = merge_big['U.S. Field Production of Crude Oil Thousand Barrels per Day'] * 30 \n",
    "merge_big.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Date</th>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "      <th>US Dollars Index</th>\n",
       "      <th>Gross domestic product</th>\n",
       "      <th>US GDP by Oil and Gas Extraction</th>\n",
       "      <th>GDP % from O&amp;G</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>163380</td>\n",
       "      <td>1239.0</td>\n",
       "      <td>95.450</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>133.5</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2005-02-01</td>\n",
       "      <td>165030</td>\n",
       "      <td>541.0</td>\n",
       "      <td>95.698</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>133.5</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>168030</td>\n",
       "      <td>1111.0</td>\n",
       "      <td>95.307</td>\n",
       "      <td>12761.3</td>\n",
       "      <td>133.5</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005-04-01</td>\n",
       "      <td>166890</td>\n",
       "      <td>1345.0</td>\n",
       "      <td>96.234</td>\n",
       "      <td>12910</td>\n",
       "      <td>143.7</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005-05-01</td>\n",
       "      <td>167880</td>\n",
       "      <td>1694.0</td>\n",
       "      <td>96.470</td>\n",
       "      <td>12910</td>\n",
       "      <td>143.7</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2005-06-01</td>\n",
       "      <td>163260</td>\n",
       "      <td>640.0</td>\n",
       "      <td>97.334</td>\n",
       "      <td>12910</td>\n",
       "      <td>143.7</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2005-07-01</td>\n",
       "      <td>157590</td>\n",
       "      <td>1058.0</td>\n",
       "      <td>97.987</td>\n",
       "      <td>13142.9</td>\n",
       "      <td>160.6</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2005-08-01</td>\n",
       "      <td>155940</td>\n",
       "      <td>531.0</td>\n",
       "      <td>97.148</td>\n",
       "      <td>13142.9</td>\n",
       "      <td>160.6</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2005-09-01</td>\n",
       "      <td>126420</td>\n",
       "      <td>727.0</td>\n",
       "      <td>98.022</td>\n",
       "      <td>13142.9</td>\n",
       "      <td>160.6</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2005-10-01</td>\n",
       "      <td>136650</td>\n",
       "      <td>530.0</td>\n",
       "      <td>98.909</td>\n",
       "      <td>13332.3</td>\n",
       "      <td>186.3</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  U.S. Field Production of Crude Oil Thousand Barrels  \\\n",
       "0 2005-01-01                                             163380     \n",
       "1 2005-02-01                                             165030     \n",
       "2 2005-03-01                                             168030     \n",
       "3 2005-04-01                                             166890     \n",
       "4 2005-05-01                                             167880     \n",
       "5 2005-06-01                                             163260     \n",
       "6 2005-07-01                                             157590     \n",
       "7 2005-08-01                                             155940     \n",
       "8 2005-09-01                                             126420     \n",
       "9 2005-10-01                                             136650     \n",
       "\n",
       "   U.S. Exports of Crude Oil (Thousand Barrels)  US Dollars Index  \\\n",
       "0                                        1239.0            95.450   \n",
       "1                                         541.0            95.698   \n",
       "2                                        1111.0            95.307   \n",
       "3                                        1345.0            96.234   \n",
       "4                                        1694.0            96.470   \n",
       "5                                         640.0            97.334   \n",
       "6                                        1058.0            97.987   \n",
       "7                                         531.0            97.148   \n",
       "8                                         727.0            98.022   \n",
       "9                                         530.0            98.909   \n",
       "\n",
       "  Gross domestic product US GDP by Oil and Gas Extraction GDP % from O&G  \n",
       "0                12761.3                            133.5           1.05  \n",
       "1                12761.3                            133.5           1.05  \n",
       "2                12761.3                            133.5           1.05  \n",
       "3                  12910                            143.7           1.11  \n",
       "4                  12910                            143.7           1.11  \n",
       "5                  12910                            143.7           1.11  \n",
       "6                13142.9                            160.6           1.22  \n",
       "7                13142.9                            160.6           1.22  \n",
       "8                13142.9                            160.6           1.22  \n",
       "9                13332.3                            186.3           1.40  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge_final['US GDP by Oil and Gas Extraction'] = merge_final['US GDP by Oil and Gas Extraction'].replace(np.nan, 0)\n",
    "merge_big['Gross domestic product'] = merge_big[\"Gross domestic product\"].fillna(method='ffill')\n",
    "merge_big['US GDP by Oil and Gas Extraction'] = merge_big[\"US GDP by Oil and Gas Extraction\"].fillna(method='ffill')\n",
    "merge_big['GDP % from O&G'] = merge_big[\"GDP % from O&G\"].fillna(method='ffill')\n",
    "\n",
    "merge_final = merge_big[[\"Date\", 'U.S. Field Production of Crude Oil Thousand Barrels', \n",
    "                         'U.S. Exports of Crude Oil (Thousand Barrels)', 'US Dollars Index',\n",
    "                         \"Gross domestic product\", \"US GDP by Oil and Gas Extraction\", 'GDP % from O&G']]\n",
    "\n",
    "merge_final.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge_final.to_csv(\"Transformed Data/Part 1.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PLOTTING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_axis = merge_final[\"Date\"]\n",
    "y_axis_1 = merge_final[\"U.S. Exports of Crude Oil (Thousand Barrels)\"]\n",
    "y_axis_2 = merge_final[\"US Dollars Index\"]\n",
    "y_axis_3 = merge_final[\"US GDP by Oil and Gas Extraction\"].astype(float)\n",
    "y_axis_4 = merge_final[\"Gross domestic product\"].astype(float)\n",
    "y_axis_5 = merge_final[\"U.S. Field Production of Crude Oil Thousand Barrels\"].astype(float)\n",
    "\n",
    "\n",
    "fig, host = plt.subplots(figsize=(15,10))\n",
    "fig.subplots_adjust(right=0.75)\n",
    "\n",
    "par1 = host.twinx()\n",
    "\n",
    "p1, = host.plot(x_axis, y_axis_4, \"dg-\", label=\"Gross GDP\")\n",
    "p2, = par1.plot(x_axis, y_axis_2, \"r-\", label=\"US Dollars Index\")\n",
    "\n",
    "host.set_title(\"US Energy Production vs. Economy\", fontsize=24)\n",
    "host.set_xlim(min(x_axis), max(x_axis) )\n",
    "host.set_ylim(10000,max(y_axis_4) + 6000 )\n",
    "par1.set_ylim(0, max(y_axis_2) + 20)\n",
    "\n",
    "host.set_xlabel(\"Year\", fontsize=18)\n",
    "host.set_ylabel(\"US Gross GDP (Billions Dollars)\", fontsize=18)\n",
    "par1.set_ylabel(\"US Dollars Index\", fontsize=18)\n",
    "\n",
    "host.yaxis.label.set_color(p1.get_color())\n",
    "par1.yaxis.label.set_color(p2.get_color())\n",
    "\n",
    "tkw = dict(size=6, width=2)\n",
    "host.tick_params(axis='y', colors=p1.get_color(), **tkw)\n",
    "par1.tick_params(axis='y', colors=p2.get_color(), **tkw)\n",
    "\n",
    "host.tick_params(axis='x', **tkw)\n",
    "\n",
    "lines = [p1, p2]\n",
    "\n",
    "host.legend(lines, [l.get_label() for l in lines], loc='best')\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Plots/Question 3 - US GDP vs. Dollars.png\", bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_axis = merge_final[\"Date\"]\n",
    "y_axis_1 = merge_final[\"U.S. Exports of Crude Oil (Thousand Barrels)\"]\n",
    "y_axis_2 = merge_final[\"US Dollars Index\"]\n",
    "y_axis_3 = merge_final[\"US GDP by Oil and Gas Extraction\"].astype(float)\n",
    "y_axis_4 = merge_final[\"Gross domestic product\"].astype(float)\n",
    "y_axis_5 = merge_final[\"U.S. Field Production of Crude Oil Thousand Barrels\"].astype(float)\n",
    "\n",
    "\n",
    "fig, host = plt.subplots(figsize=(15,10))\n",
    "fig.subplots_adjust(right=0.75)\n",
    "\n",
    "par1 = host.twinx()\n",
    "par2 = host.twinx()\n",
    "\n",
    "par2.spines[\"right\"].set_visible(True)\n",
    "par2.spines[\"right\"].set_position((\"axes\", 1.07))\n",
    "\n",
    "\n",
    "p1, = host.plot(x_axis, y_axis_4, \"dg-\", label=\"Gross GDP\")\n",
    "p2, = par1.plot(x_axis, y_axis_2, \"r-\", label=\"US Dollars Index\")\n",
    "p3, = par2.plot(x_axis, y_axis_5, \"db-\", label=\"US Crude Oil Production\")\n",
    "\n",
    "host.set_title(\"US Energy Production vs. Economy\", fontsize=24)\n",
    "host.set_xlim(min(x_axis), max(x_axis) )\n",
    "host.set_ylim(10000,max(y_axis_4) + 6000 )\n",
    "par1.set_ylim(0, max(y_axis_2) + 20)\n",
    "par2.set_ylim(0, max(y_axis_5)+100000)\n",
    "\n",
    "host.set_xlabel(\"Year\", fontsize=18)\n",
    "host.set_ylabel(\"US Gross GDP (Billions Dollars)\", fontsize=18)\n",
    "par1.set_ylabel(\"US Dollars Index\", fontsize=18)\n",
    "par2.set_ylabel(\"US Crude Oil Production (kbbls/month)\", fontsize=18)\n",
    "\n",
    "host.yaxis.label.set_color(p1.get_color())\n",
    "par1.yaxis.label.set_color(p2.get_color())\n",
    "par2.yaxis.label.set_color(p3.get_color())\n",
    "\n",
    "tkw = dict(size=6, width=2)\n",
    "host.tick_params(axis='y', colors=p1.get_color(), **tkw)\n",
    "par1.tick_params(axis='y', colors=p2.get_color(), **tkw)\n",
    "par2.tick_params(axis='y', colors=p3.get_color(), **tkw)\n",
    "\n",
    "host.tick_params(axis='x', **tkw)\n",
    "\n",
    "lines = [p1, p2,p3]\n",
    "\n",
    "host.legend(lines, [l.get_label() for l in lines], loc='best')\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Plots/Question 1 - US Energy Production vs. Dollars (1A).png\", bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_axis = merge_final[\"Date\"]\n",
    "y_axis_1 = merge_final[\"U.S. Exports of Crude Oil (Thousand Barrels)\"]\n",
    "y_axis_2 = merge_final[\"US Dollars Index\"]\n",
    "y_axis_3 = merge_final[\"US GDP by Oil and Gas Extraction\"].astype(float)\n",
    "y_axis_4 = merge_final[\"Gross domestic product\"].astype(float)\n",
    "y_axis_5 = merge_final[\"U.S. Field Production of Crude Oil Thousand Barrels\"].astype(float)\n",
    "\n",
    "\n",
    "fig, host = plt.subplots(figsize=(15,10))\n",
    "fig.subplots_adjust(right=0.75)\n",
    "\n",
    "par1 = host.twinx()\n",
    "par2 = host.twinx()\n",
    "\n",
    "par2.spines[\"right\"].set_visible(True)\n",
    "par2.spines[\"right\"].set_position((\"axes\", 1.07))\n",
    "\n",
    "\n",
    "p1, = host.plot(x_axis, y_axis_4, \"dg-\", label=\"Gross GDP\")\n",
    "p2, = par1.plot(x_axis, y_axis_2, \"r-\", label=\"US Dollars Index\")\n",
    "p3, = par2.plot(x_axis, y_axis_5, \"db-\", label=\"US Crude Oil Production\")\n",
    "p4, = par2.plot(x_axis, y_axis_1, \"b-\", label=\"US Crude Oil Exports\")\n",
    "\n",
    "\n",
    "host.set_title(\"US Energy Production vs. Economy\", fontsize=24)\n",
    "host.set_xlim(min(x_axis), max(x_axis) )\n",
    "host.set_ylim(10000,max(y_axis_4) + 6000 )\n",
    "par1.set_ylim(0, max(y_axis_2) + 20)\n",
    "par2.set_ylim(0, max(y_axis_5)+100000)\n",
    "\n",
    "host.set_xlabel(\"Year\", fontsize=18)\n",
    "host.set_ylabel(\"US Gross GDP (Billions Dollars)\", fontsize=18)\n",
    "par1.set_ylabel(\"US Dollars Index\", fontsize=18)\n",
    "par2.set_ylabel(\"US Crude Oil Production (kbbls/month)\", fontsize=18)\n",
    "\n",
    "host.yaxis.label.set_color(p1.get_color())\n",
    "par1.yaxis.label.set_color(p2.get_color())\n",
    "par2.yaxis.label.set_color(p3.get_color())\n",
    "\n",
    "tkw = dict(size=6, width=2)\n",
    "host.tick_params(axis='y', colors=p1.get_color(), **tkw)\n",
    "par1.tick_params(axis='y', colors=p2.get_color(), **tkw)\n",
    "par2.tick_params(axis='y', colors=p3.get_color(), **tkw)\n",
    "\n",
    "host.tick_params(axis='x', **tkw)\n",
    "\n",
    "lines = [p1, p2,p3, p4]\n",
    "\n",
    "host.legend(lines, [l.get_label() for l in lines], loc='best')\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Plots/Question 1 - US Energy Production vs. Dollars (1B).png\", bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_axis = merge_final[\"Date\"]\n",
    "y_axis_1 = merge_final[\"U.S. Exports of Crude Oil (Thousand Barrels)\"]\n",
    "y_axis_2 = merge_final[\"US Dollars Index\"]\n",
    "y_axis_3 = merge_final[\"US GDP by Oil and Gas Extraction\"].astype(float)\n",
    "y_axis_4 = merge_final[\"Gross domestic product\"].astype(float)\n",
    "y_axis_5 = merge_final[\"U.S. Field Production of Crude Oil Thousand Barrels\"].astype(float)\n",
    "\n",
    "\n",
    "fig, host = plt.subplots(figsize=(15,10))\n",
    "fig.subplots_adjust(right=0.75)\n",
    "\n",
    "par1 = host.twinx()\n",
    "par2 = host.twinx()\n",
    "\n",
    "par2.spines[\"right\"].set_visible(True)\n",
    "par2.spines[\"right\"].set_position((\"axes\", 1.07))\n",
    "\n",
    "\n",
    "p1, = host.plot(x_axis, y_axis_4, \"dg-\", label=\"Gross GDP\")\n",
    "p2, = par1.plot(x_axis, y_axis_2, \"r-\", label=\"US Dollars Index\")\n",
    "p3, = par2.plot(x_axis, y_axis_5, \"db-\", label=\"US Crude Oil Production\")\n",
    "p4, = par2.plot(x_axis, y_axis_1, \"b-\", label=\"US Crude Oil Exports\")\n",
    "p5, = host.plot(x_axis, y_axis_3, \"g-\", label=\"US GDP from O&G\")\n",
    "\n",
    "\n",
    "host.set_title(\"US Energy Production vs. Economy\", fontsize=24)\n",
    "host.set_xlim(min(x_axis), max(x_axis) )\n",
    "host.set_ylim(0,max(y_axis_4) + 6000 )\n",
    "par1.set_ylim(0, max(y_axis_2) + 20)\n",
    "par2.set_ylim(0, max(y_axis_5)+100000)\n",
    "\n",
    "host.set_xlabel(\"Year\", fontsize=18)\n",
    "host.set_ylabel(\"US Gross GDP (Billions Dollars)\", fontsize=18)\n",
    "par1.set_ylabel(\"US Dollars Index\", fontsize=18)\n",
    "par2.set_ylabel(\"US Crude Oil Production (kbbls/month)\", fontsize=18)\n",
    "\n",
    "host.yaxis.label.set_color(p1.get_color())\n",
    "par1.yaxis.label.set_color(p2.get_color())\n",
    "par2.yaxis.label.set_color(p3.get_color())\n",
    "\n",
    "tkw = dict(size=6, width=2)\n",
    "host.tick_params(axis='y', colors=p1.get_color(), **tkw)\n",
    "par1.tick_params(axis='y', colors=p2.get_color(), **tkw)\n",
    "par2.tick_params(axis='y', colors=p3.get_color(), **tkw)\n",
    "\n",
    "host.tick_params(axis='x', **tkw)\n",
    "\n",
    "lines = [p1, p2,p3, p4, p5]\n",
    "\n",
    "host.legend(lines, [l.get_label() for l in lines], loc='best')\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Plots/Question 1 - US Energy Production vs. Dollars (1C).png\", bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\navyh\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py: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",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "C:\\Users\\navyh\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py: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",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "merge_final['Gross domestic product'] = merge_final['Gross domestic product'].astype(float) \n",
    "merge_final['US GDP by Oil and Gas Extraction'] = merge_final['US GDP by Oil and Gas Extraction'].astype(float) \n",
    "\n",
    "x_axis = merge_final[\"Date\"]\n",
    "y_axis_1 = merge_final[\"U.S. Exports of Crude Oil (Thousand Barrels)\"]\n",
    "y_axis_2 = merge_final[\"US Dollars Index\"]\n",
    "y_axis_3 = merge_final[\"US GDP by Oil and Gas Extraction\"].astype(float)\n",
    "y_axis_4 = merge_final[\"Gross domestic product\"].astype(float)\n",
    "y_axis_5 = merge_final[\"U.S. Field Production of Crude Oil Thousand Barrels\"].astype(float)\n",
    "\n",
    "\n",
    "fig, host = plt.subplots(figsize=(15,3))\n",
    "fig.subplots_adjust(right=0.75)\n",
    "\n",
    "par1 = host.twinx()\n",
    "\n",
    "p1, = host.plot(x_axis, y_axis_3, \"g-\", label=\"US GDP from O&G\")\n",
    "p2, = par1.plot(x_axis, y_axis_1, \"b-\", label=\"US Crude Exports\")\n",
    "\n",
    "\n",
    "# host.set_title(\"US Energy Production vs. Economy\", fontsize=24)\n",
    "host.set_xlim(min(x_axis), max(x_axis) )\n",
    "host.set_ylim(min(y_axis_3) - 50 , max(y_axis_3) +50 )\n",
    "par1.set_ylim(0, max(y_axis_1) + 10000)\n",
    "# par2.set_ylim(min(y_axis_1) , max(y_axis_1) + 100000)\n",
    "\n",
    "# host.set_xlabel(\"Year\", fontsize=18)\n",
    "# host.set_ylabel(\"US GDP from O&G (Billions Dollars)\", fontsize=18)\n",
    "# par1.set_ylabel(\"US Dollars Index\", fontsize=18)\n",
    "# par2.set_ylabel(\"US Crude Oil Exports (kbbls/month)\", fontsize=18)\n",
    "\n",
    "host.yaxis.label.set_color(p1.get_color())\n",
    "par1.yaxis.label.set_color(p2.get_color())\n",
    "\n",
    "tkw = dict(size=6, width=2)\n",
    "host.tick_params(axis='y', colors=p1.get_color(), **tkw)\n",
    "par1.tick_params(axis='y', colors=p2.get_color(), **tkw)\n",
    "\n",
    "host.tick_params(axis='x', **tkw)\n",
    "\n",
    "lines = [p1, p2]\n",
    "\n",
    "host.legend(lines, [l.get_label() for l in lines], loc='best')\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Plots/Question 1 - US Energy Production vs. Dollars (1D).png\", bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>U.S. Field Production of Crude Oil Thousand Barrels</th>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "      <th>US Dollars Index</th>\n",
       "      <th>Gross domestic product</th>\n",
       "      <th>US GDP by Oil and Gas Extraction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>U.S. Field Production of Crude Oil Thousand Barrels</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846293</td>\n",
       "      <td>0.439936</td>\n",
       "      <td>0.961647</td>\n",
       "      <td>-0.049526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U.S. Exports of Crude Oil (Thousand Barrels)</th>\n",
       "      <td>0.846293</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.551974</td>\n",
       "      <td>0.836537</td>\n",
       "      <td>-0.070823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US Dollars Index</th>\n",
       "      <td>0.439936</td>\n",
       "      <td>0.551974</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.366016</td>\n",
       "      <td>-0.643719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross domestic product</th>\n",
       "      <td>0.961647</td>\n",
       "      <td>0.836537</td>\n",
       "      <td>0.366016</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.001373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US GDP by Oil and Gas Extraction</th>\n",
       "      <td>-0.049526</td>\n",
       "      <td>-0.070823</td>\n",
       "      <td>-0.643719</td>\n",
       "      <td>0.001373</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    U.S. Field Production of Crude Oil Thousand Barrels  \\\n",
       "U.S. Field Production of Crude Oil Thousand Bar...                                           1.000000     \n",
       "U.S. Exports of Crude Oil (Thousand Barrels)                                                 0.846293     \n",
       "US Dollars Index                                                                             0.439936     \n",
       "Gross domestic product                                                                       0.961647     \n",
       "US GDP by Oil and Gas Extraction                                                            -0.049526     \n",
       "\n",
       "                                                    U.S. Exports of Crude Oil (Thousand Barrels)  \\\n",
       "U.S. Field Production of Crude Oil Thousand Bar...                                      0.846293   \n",
       "U.S. Exports of Crude Oil (Thousand Barrels)                                            1.000000   \n",
       "US Dollars Index                                                                        0.551974   \n",
       "Gross domestic product                                                                  0.836537   \n",
       "US GDP by Oil and Gas Extraction                                                       -0.070823   \n",
       "\n",
       "                                                    US Dollars Index  \\\n",
       "U.S. Field Production of Crude Oil Thousand Bar...          0.439936   \n",
       "U.S. Exports of Crude Oil (Thousand Barrels)                0.551974   \n",
       "US Dollars Index                                            1.000000   \n",
       "Gross domestic product                                      0.366016   \n",
       "US GDP by Oil and Gas Extraction                           -0.643719   \n",
       "\n",
       "                                                    Gross domestic product  \\\n",
       "U.S. Field Production of Crude Oil Thousand Bar...                0.961647   \n",
       "U.S. Exports of Crude Oil (Thousand Barrels)                      0.836537   \n",
       "US Dollars Index                                                  0.366016   \n",
       "Gross domestic product                                            1.000000   \n",
       "US GDP by Oil and Gas Extraction                                  0.001373   \n",
       "\n",
       "                                                    US GDP by Oil and Gas Extraction  \n",
       "U.S. Field Production of Crude Oil Thousand Bar...                         -0.049526  \n",
       "U.S. Exports of Crude Oil (Thousand Barrels)                               -0.070823  \n",
       "US Dollars Index                                                           -0.643719  \n",
       "Gross domestic product                                                      0.001373  \n",
       "US GDP by Oil and Gas Extraction                                            1.000000  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge_final.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}