test_open_secrets.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import time\n",
    "import requests\n",
    "import pandas as pd\n",
    "from io import StringIO\n",
    "from bs4 import BeautifulSoup\n",
    "from fuzzymatcher import link_table, fuzzy_left_join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import fresh_data.get_datasets\n",
    "import importlib\n",
    "importlib.reload(fresh_data.get_datasets)\n",
    "from fresh_data.get_datasets import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "open_secrets = load_open_secrets_data(\"open_secrets\")"
   ]
  },
  {
   "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>Total Spent</th>\n",
       "      <th>year_range</th>\n",
       "      <th>Cash on Hand</th>\n",
       "      <th>Total Raised</th>\n",
       "      <th>representative</th>\n",
       "      <th>state_name</th>\n",
       "      <th>district_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5580964</td>\n",
       "      <td>1999-2000</td>\n",
       "      <td>74748</td>\n",
       "      <td>3816891</td>\n",
       "      <td>Richard A. Gephardt</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4650104</td>\n",
       "      <td>1999-2000</td>\n",
       "      <td>1728</td>\n",
       "      <td>4660714</td>\n",
       "      <td>Adam Schiff</td>\n",
       "      <td>California</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3575020</td>\n",
       "      <td>1999-2000</td>\n",
       "      <td>158590</td>\n",
       "      <td>3477160</td>\n",
       "      <td>Bob Barr</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3086708</td>\n",
       "      <td>1999-2000</td>\n",
       "      <td>230140</td>\n",
       "      <td>2755056</td>\n",
       "      <td>E. Clay Shaw Jr.</td>\n",
       "      <td>Florida</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2904763</td>\n",
       "      <td>1999-2000</td>\n",
       "      <td>113883</td>\n",
       "      <td>2905544</td>\n",
       "      <td>Anne M. Northup</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Total Spent year_range  Cash on Hand  Total Raised       representative  \\\n",
       "0      5580964  1999-2000         74748       3816891  Richard A. Gephardt   \n",
       "1      4650104  1999-2000          1728       4660714          Adam Schiff   \n",
       "2      3575020  1999-2000        158590       3477160             Bob Barr   \n",
       "3      3086708  1999-2000        230140       2755056     E. Clay Shaw Jr.   \n",
       "4      2904763  1999-2000        113883       2905544      Anne M. Northup   \n",
       "\n",
       "   state_name district_code  \n",
       "0    Missouri            03  \n",
       "1  California            27  \n",
       "2     Georgia            07  \n",
       "3     Florida            22  \n",
       "4    Kentucky            03  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open_secrets.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1999-2000', '2001-2002', '2003-2004', '2005-2006', '2007-2008',\n",
       "       '2009-2010', '2011-2012', '2013-2014', '2015-2016', '2017-2018',\n",
       "       '2019-2020'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open_secrets.year_range.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Total Spent</th>\n",
       "      <th>year_range</th>\n",
       "      <th>Cash on Hand</th>\n",
       "      <th>Total Raised</th>\n",
       "      <th>representative</th>\n",
       "      <th>state_name</th>\n",
       "      <th>district_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>392579</td>\n",
       "      <td>1999-2000</td>\n",
       "      <td>208732</td>\n",
       "      <td>474066</td>\n",
       "      <td>Nydia M. Velazquez</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>551994</td>\n",
       "      <td>2003-2004</td>\n",
       "      <td>240961</td>\n",
       "      <td>709017</td>\n",
       "      <td>Nydia M. Velazquez</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>698615</td>\n",
       "      <td>2005-2006</td>\n",
       "      <td>309102</td>\n",
       "      <td>766762</td>\n",
       "      <td>Nydia M. Velazquez</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2098</th>\n",
       "      <td>690875</td>\n",
       "      <td>2009-2010</td>\n",
       "      <td>826841</td>\n",
       "      <td>838912</td>\n",
       "      <td>Nydia M. Velazquez</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2720</th>\n",
       "      <td>1457836</td>\n",
       "      <td>2013-2014</td>\n",
       "      <td>476951</td>\n",
       "      <td>1410064</td>\n",
       "      <td>Carolyn B. Maloney</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3103</th>\n",
       "      <td>1708670</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>457518</td>\n",
       "      <td>1689237</td>\n",
       "      <td>Carolyn B Maloney</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3527</th>\n",
       "      <td>2404709</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>107909</td>\n",
       "      <td>2055099</td>\n",
       "      <td>Carolyn B Maloney</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3955</th>\n",
       "      <td>3059202</td>\n",
       "      <td>2019-2020</td>\n",
       "      <td>116416</td>\n",
       "      <td>3067173</td>\n",
       "      <td>Carolyn B Maloney</td>\n",
       "      <td>NewYork</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Total Spent year_range  Cash on Hand  Total Raised      representative  \\\n",
       "329        392579  1999-2000        208732        474066  Nydia M. Velazquez   \n",
       "754        551994  2003-2004        240961        709017  Nydia M. Velazquez   \n",
       "1164       698615  2005-2006        309102        766762  Nydia M. Velazquez   \n",
       "2098       690875  2009-2010        826841        838912  Nydia M. Velazquez   \n",
       "2720      1457836  2013-2014        476951       1410064  Carolyn B. Maloney   \n",
       "3103      1708670  2015-2016        457518       1689237   Carolyn B Maloney   \n",
       "3527      2404709  2017-2018        107909       2055099   Carolyn B Maloney   \n",
       "3955      3059202  2019-2020        116416       3067173   Carolyn B Maloney   \n",
       "\n",
       "     state_name district_code  \n",
       "329     NewYork            12  \n",
       "754     NewYork            12  \n",
       "1164    NewYork            12  \n",
       "2098    NewYork            12  \n",
       "2720    NewYork            12  \n",
       "3103    NewYork            12  \n",
       "3527    NewYork            12  \n",
       "3955    NewYork            12  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_district_mask = (open_secrets[\"state_name\"] == \"NewYork\") & (open_secrets[\"district_code\"] == \"12\")\n",
    "open_secrets[state_district_mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year_range'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "open_secrets[state_district_mask].plot(x=\"year_range\", y=[\"Total Raised\", \"Cash on Hand\", \"Total Spent\"], figsize=(10,10))"
   ]
  },
  {
   "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": "3.10.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}