index.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "sustained-logging",
   "metadata": {},
   "outputs": [],
   "source": [
    "import urllib\n",
    "import os.path\n",
    "import pathlib\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import functools\n",
    "import itertools\n",
    "\n",
    "from nameparser import HumanName\n",
    "import humanize\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', 250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "pending-situation",
   "metadata": {},
   "outputs": [],
   "source": [
    "def download_unless_isfile(url, file):\n",
    "    if not os.path.isfile(file):\n",
    "        urllib.request.urlretrieve(url, file)\n",
    "    \n",
    "download_unless_isfile(\"https://www.nyccfb.info/DataLibrary/Contribution_Key.csv\", \"Contribution_Key.csv\")\n",
    "download_unless_isfile(\"https://www.nyccfb.info/DataLibrary/2021_Contributions.csv\", \"2021_Contributions.csv\")\n",
    "download_unless_isfile(\"https://data.cityofnewyork.us/api/views/fmf3-knd8/rows.csv?accessType=DOWNLOAD\", \"eLobbyist_data.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "loose-separation",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_contributions = pd.read_csv(\"2021_Contributions.csv\", header=0, dtype={ 'NAME': str, 'STRNO': str, 'STRNAME': str, 'APARTMENT': str , 'INTZIP': str, 'EXEMPTCD': str })\n",
    "\n",
    "contributions = all_contributions[all_contributions.SCHEDULE.isin([\"ABC\", \"IREF\"])].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "middle-distance",
   "metadata": {},
   "outputs": [],
   "source": [
    "def employer_format(s):\n",
    "    if not isinstance(s, str):\n",
    "        return s\n",
    "    if s.lower() == 'not employed' or s.lower() == 'unemployed':\n",
    "        return 'Not Employed'\n",
    "    elif  s.lower() in ['self-employed', 'self employed', 'self', 'Self Employee']:\n",
    "        return 'Self Employed'\n",
    "    elif s.lower() == 'retired':\n",
    "        return 'Retired'\n",
    "    elif s.lower() == 'none':\n",
    "        return 'None'\n",
    "    elif s.lower() in ['homemaker', 'housewife']:\n",
    "        return 'Homemaker'\n",
    "    elif s.lower() in ['Citigroup', 'citi']:\n",
    "        return 'Citigroup'\n",
    "    elif 'paul weiss' in s.lower():\n",
    "        return 'Paul Weiss'\n",
    "    elif ('Skadden Arps' in s.lower() or s == 'Skadden'):\n",
    "        return 'Skadden Arps'\n",
    "    elif 'Rosen & Katz' in s or s == 'Wachtell Lipton':\n",
    "        return 'Wachtell, Lipton, Rosen & Katz'\n",
    "    elif 'A&E Real Estate' in s.lower():\n",
    "        return 'A&E Real Estate'\n",
    "    elif 'google' in s.lower():\n",
    "        return 'Google'\n",
    "    elif 'WSB Partners' in s:\n",
    "        return 'WSB Partners'\n",
    "    else:\n",
    "        return s\n",
    "\n",
    "\n",
    "contributions['EMPNAME'] = contributions['EMPNAME'].apply(employer_format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "planned-radius",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_money(i):\n",
    "     return \"$\" + humanize.intcomma(round(i))\n",
    "\n",
    "def to_person_name(s):\n",
    "    return str(HumanName(s))\n",
    "\n",
    "def parse_name(s):\n",
    "    names = []\n",
    "    \n",
    "    human_name = HumanName(s)\n",
    "    \n",
    "    names.append(f\"{human_name.last}, {human_name.first}\")\n",
    "    \n",
    "    if human_name.suffix:\n",
    "        names.append(f\"{human_name.last} {human_name.suffix}, {human_name.first}\")\n",
    "    \n",
    "    if human_name.middle:\n",
    "        names.append(f\"{human_name.last}, {human_name.first} {human_name.middle}\")\n",
    "    \n",
    "        if len(human_name.middle) > 1:\n",
    "            names.append(f\"{human_name.last}, {human_name.first} {human_name.middle[0]}\")\n",
    "    \n",
    "    return names\n",
    "\n",
    "\n",
    "def name_variations_from_file(file):\n",
    "    variations = []\n",
    "    \n",
    "    with open(file, 'r') as f:\n",
    "        for line in f:\n",
    "            for variation in parse_name(line):\n",
    "                variations.append(variation.upper())\n",
    "\n",
    "    return variations\n",
    "                \n",
    "real_estate_names_from_littlesis = name_variations_from_file('./real_estate_names.txt')\n",
    "worst_landlords = name_variations_from_file('./worst_landlords.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "gorgeous-kelly",
   "metadata": {},
   "outputs": [],
   "source": [
    "lobbyists = pd.read_csv(\"eLobbyist_data.csv\", header=0)\n",
    "corporate_lobbyists = lobbyists[lobbyists[\"LOBBYIST_NAME\"].str.contains(\" (?:LLC|L\\.P\\.)\", case=False, regex=True)]\n",
    "all_lobbyist_orgs = lobbyists[\"LOBBYIST_NAME\"].unique()\n",
    "lobbyist_employees = set(itertools.chain(*map(lambda x: x.split(';'), lobbyists[\"LOBBYIST_EMPLOYEES\"])))\n",
    "corporate_lobbyist_employees = set(itertools.chain(*map(lambda x: x.split(';'), corporate_lobbyists[\"LOBBYIST_EMPLOYEES\"])))\n",
    "\n",
    "lobbyist_employees_variations = list(map(lambda s: s.upper(), itertools.chain(*map(parse_name, lobbyist_employees))))\n",
    "corporate_lobbyist_employees_variations = list(map(lambda s: s.upper(), itertools.chain(*map(parse_name, corporate_lobbyist_employees))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cooked-cache",
   "metadata": {},
   "outputs": [],
   "source": [
    "contributions['realestate_littlesis'] = contributions['NAME'].str.upper().isin(real_estate_names_from_littlesis)\n",
    "contributions['worst_landlord'] = contributions['NAME'].str.upper().isin(worst_landlords)\n",
    "contributions['works_in_realestate'] = contributions['OCCUPATION'].str.contains(r'(?i).*REAL ESTATE.*')\n",
    "contributions['is_realestate'] = contributions['realestate_littlesis'] | contributions['worst_landlord'] | contributions['works_in_realestate']\n",
    "contributions['is_lobbyist'] = contributions['OCCUPATION'].str.upper().eq('LOBBYIST') |  contributions['NAME'].str.upper().isin(corporate_lobbyist_employees_variations)\n",
    "contributions['is_corporation'] = contributions[\"C_CODE\"].isin([\"LLC\", \"CORP\"])\n",
    "contributions['flag'] = contributions['is_corporation'] | contributions['is_lobbyist'] | contributions['is_realestate']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "beautiful-drunk",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['Tirschwell', 'Wiley', 'Yang', 'Morales', 'McGuire', 'Stringer', 'Sliwa', 'Cullen', 'Garcia', 'Donovan', 'Menchaca', 'Adams', 'Mateo', 'Diaz', 'Pepitone', 'Taylor', 'AbdulMalik', 'Chang', 'Sutton', 'Rose', 'Prince', 'Wright', 'Guimaraes', 'Flores', 'Emilien', 'Foldenauer', 'Filipchenko', 'Laurel-Smith', 'Kavovit', 'Francis', 'Oremland', 'Nunez', 'Downs', 'Kaplan', 'Miles', 'Reaves', 'Coenen', 'Bunea', 'Pinto', 'Fitzgerald', 'Krietchman', 'Seidman', 'Seely'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "major_candidates = [\n",
    "    'Adams, Eric L',\n",
    "    'Donovan, Shaun',\n",
    "    'Garcia, Kathryn A',\n",
    "    'McGuire, Raymond J',\n",
    "    'Morales, Dianne',\n",
    "    'Stringer, Scott M',\n",
    "    'Wiley, Maya D',\n",
    "    'Yang, Andrew'\n",
    "]\n",
    "\n",
    "mayor_candidates_names = contributions[contributions['OFFICECD'].isin(['1', '11'])]['RECIPNAME'].unique()\n",
    "candidate_last_names = dict(zip(mayor_candidates_names, map(lambda s: HumanName(s).last, mayor_candidates_names)))\n",
    "candidate_last_names.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "three-romantic",
   "metadata": {},
   "outputs": [],
   "source": [
    "mayor_donations = contributions[contributions[\"RECIPNAME\"].isin(major_candidates)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "loaded-penguin",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Jordan, Tyron        63\n",
       "Cole, Sarah          59\n",
       "Perkins, D           58\n",
       "Koo, Julia           56\n",
       "Warren, Roxanne      56\n",
       "                     ..\n",
       "Austin, Spencer       1\n",
       "Costabile, Jj         1\n",
       "Sands, Jonathan       1\n",
       "Kwatra, Neal          1\n",
       "Crisses, Andrew M     1\n",
       "Name: NAME, Length: 74907, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mayor_donations.NAME.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "behavioral-irrigation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PCOMP', 'CORP', 'IND', 'CAN', 'EMPO', 'FAM', 'OTHR', 'PCOMC',\n",
       "       'PCOMZ', 'LLC'], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mayor_donations['C_CODE'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "northern-roller",
   "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>ELECTION</th>\n",
       "      <th>RECIPID</th>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>COMMITTEE</th>\n",
       "      <th>NAME</th>\n",
       "      <th>AMNT</th>\n",
       "      <th>DATE</th>\n",
       "      <th>REFUNDDATE</th>\n",
       "      <th>CITY</th>\n",
       "      <th>STATE</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>OCCUPATION</th>\n",
       "      <th>EMPNAME</th>\n",
       "      <th>C_CODE</th>\n",
       "      <th>realestate_littlesis</th>\n",
       "      <th>worst_landlord</th>\n",
       "      <th>works_in_realestate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>63374</th>\n",
       "      <td>2021</td>\n",
       "      <td>1545</td>\n",
       "      <td>Adams, Eric L</td>\n",
       "      <td>L</td>\n",
       "      <td>Cohen, Adir</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>1/10/2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11230</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>Renaissance Realty Group</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124630</th>\n",
       "      <td>2021</td>\n",
       "      <td>1545</td>\n",
       "      <td>Adams, Eric L</td>\n",
       "      <td>L</td>\n",
       "      <td>Gottlieb, Israel</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1/10/2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lakewood Township</td>\n",
       "      <td>NJ</td>\n",
       "      <td>8701</td>\n",
       "      <td>Real estate investor</td>\n",
       "      <td>Self Employed</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212793</th>\n",
       "      <td>2021</td>\n",
       "      <td>1545</td>\n",
       "      <td>Adams, Eric L</td>\n",
       "      <td>L</td>\n",
       "      <td>Matheus, Donald</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1/10/2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11238</td>\n",
       "      <td>Real estate</td>\n",
       "      <td>Albatross group</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321999</th>\n",
       "      <td>2021</td>\n",
       "      <td>1545</td>\n",
       "      <td>Adams, Eric L</td>\n",
       "      <td>L</td>\n",
       "      <td>Strulovitch, Baila</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1/10/2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11205</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>Self Employee</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192053</th>\n",
       "      <td>2021</td>\n",
       "      <td>1545</td>\n",
       "      <td>Adams, Eric L</td>\n",
       "      <td>L</td>\n",
       "      <td>Levy, Danny</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1/10/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11230</td>\n",
       "      <td>Real estate</td>\n",
       "      <td>Self Employed</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346745</th>\n",
       "      <td>2021</td>\n",
       "      <td>2546</td>\n",
       "      <td>Yang, Andrew</td>\n",
       "      <td>H</td>\n",
       "      <td>Wang, Kevin</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5/6/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Somerville</td>\n",
       "      <td>MA</td>\n",
       "      <td>2143</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>Wellframe</td>\n",
       "      <td>IND</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146638</th>\n",
       "      <td>2021</td>\n",
       "      <td>2546</td>\n",
       "      <td>Yang, Andrew</td>\n",
       "      <td>H</td>\n",
       "      <td>Holt, Giles</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5/7/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10065</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>KBD Holdings</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188504</th>\n",
       "      <td>2021</td>\n",
       "      <td>2546</td>\n",
       "      <td>Yang, Andrew</td>\n",
       "      <td>H</td>\n",
       "      <td>Lee, Saehan</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5/7/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Santa Monica</td>\n",
       "      <td>CA</td>\n",
       "      <td>90401</td>\n",
       "      <td>Manager Real Estate</td>\n",
       "      <td>Knowledge Universe</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103383</th>\n",
       "      <td>2021</td>\n",
       "      <td>2546</td>\n",
       "      <td>Yang, Andrew</td>\n",
       "      <td>H</td>\n",
       "      <td>Fishkind, Jason</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>5/8/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Purchase</td>\n",
       "      <td>NY</td>\n",
       "      <td>10577</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>OOHH</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109622</th>\n",
       "      <td>2021</td>\n",
       "      <td>2546</td>\n",
       "      <td>Yang, Andrew</td>\n",
       "      <td>H</td>\n",
       "      <td>Friedman, Joseph</td>\n",
       "      <td>250.0</td>\n",
       "      <td>5/9/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11210</td>\n",
       "      <td>Real estate</td>\n",
       "      <td>Self Employed</td>\n",
       "      <td>IND</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2062 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ELECTION RECIPID      RECIPNAME COMMITTEE                NAME    AMNT  \\\n",
       "63374       2021    1545  Adams, Eric L         L         Cohen, Adir  5100.0   \n",
       "124630      2021    1545  Adams, Eric L         L    Gottlieb, Israel  1000.0   \n",
       "212793      2021    1545  Adams, Eric L         L     Matheus, Donald   500.0   \n",
       "321999      2021    1545  Adams, Eric L         L  Strulovitch, Baila  2000.0   \n",
       "192053      2021    1545  Adams, Eric L         L         Levy, Danny   100.0   \n",
       "...          ...     ...            ...       ...                 ...     ...   \n",
       "346745      2021    2546   Yang, Andrew         H         Wang, Kevin   100.0   \n",
       "146638      2021    2546   Yang, Andrew         H         Holt, Giles    50.0   \n",
       "188504      2021    2546   Yang, Andrew         H         Lee, Saehan    50.0   \n",
       "103383      2021    2546   Yang, Andrew         H     Fishkind, Jason  2000.0   \n",
       "109622      2021    2546   Yang, Andrew         H    Friedman, Joseph   250.0   \n",
       "\n",
       "             DATE REFUNDDATE               CITY STATE    ZIP  \\\n",
       "63374   1/10/2019        NaN           Brooklyn    NY  11230   \n",
       "124630  1/10/2019        NaN  Lakewood Township    NJ   8701   \n",
       "212793  1/10/2019        NaN           Brooklyn    NY  11238   \n",
       "321999  1/10/2019        NaN           Brooklyn    NY  11205   \n",
       "192053  1/10/2020        NaN           Brooklyn    NY  11230   \n",
       "...           ...        ...                ...   ...    ...   \n",
       "346745   5/6/2021        NaN         Somerville    MA   2143   \n",
       "146638   5/7/2021        NaN           New York    NY  10065   \n",
       "188504   5/7/2021        NaN       Santa Monica    CA  90401   \n",
       "103383   5/8/2021        NaN           Purchase    NY  10577   \n",
       "109622   5/9/2021        NaN           Brooklyn    NY  11210   \n",
       "\n",
       "                  OCCUPATION                   EMPNAME C_CODE  \\\n",
       "63374            Real Estate  Renaissance Realty Group    IND   \n",
       "124630  Real estate investor             Self Employed    IND   \n",
       "212793           Real estate           Albatross group    IND   \n",
       "321999           Real Estate             Self Employee    IND   \n",
       "192053           Real estate             Self Employed    IND   \n",
       "...                      ...                       ...    ...   \n",
       "346745     Software Engineer                 Wellframe    IND   \n",
       "146638           Real Estate              KBD Holdings    IND   \n",
       "188504   Manager Real Estate        Knowledge Universe    IND   \n",
       "103383           Real Estate                      OOHH    IND   \n",
       "109622           Real estate             Self Employed    IND   \n",
       "\n",
       "        realestate_littlesis  worst_landlord works_in_realestate  \n",
       "63374                  False           False                True  \n",
       "124630                 False           False                True  \n",
       "212793                 False           False                True  \n",
       "321999                 False           False                True  \n",
       "192053                 False           False                True  \n",
       "...                      ...             ...                 ...  \n",
       "346745                  True           False               False  \n",
       "146638                 False           False                True  \n",
       "188504                 False           False                True  \n",
       "103383                 False           False                True  \n",
       "109622                 False           False                True  \n",
       "\n",
       "[2062 rows x 17 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# def filter_flagged_contributions(df):\n",
    "#    return df[df['flag']]\n",
    "#    return df[ (df['realestate_littlesis'] | df['worst_landlord'] |  df['works_in_realestate']  | df['does_lobbying'] | ( df['C_CODE'] == \"LLC\"))]\n",
    "\n",
    "flagged_donations = mayor_donations[mayor_donations['flag']]\n",
    "flagged_donations_all_campaigns = contributions[contributions['flag']]\n",
    "\n",
    "\n",
    "columns = ['ELECTION', 'RECIPID', 'RECIPNAME', 'COMMITTEE', 'NAME', 'AMNT', 'DATE', 'REFUNDDATE', 'CITY', 'STATE', 'ZIP', 'OCCUPATION', 'EMPNAME', 'C_CODE', 'realestate_littlesis', 'worst_landlord', 'works_in_realestate', ]\n",
    "\n",
    "flagged_donations.sort_values(['RECIPNAME', 'DATE'])[columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "charitable-symphony",
   "metadata": {},
   "outputs": [],
   "source": [
    "flagged_donations.sort_values(['RECIPNAME', 'DATE']).to_csv('flagged_donations.csv')\n",
    "flagged_donations_all_campaigns.sort_values(['RECIPNAME', 'DATE']).to_csv('flagged_donations_all_campaigns.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "latest-cable",
   "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>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Candidates</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$10,093,818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <td>$4,739,061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <td>$3,600,747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$2,858,059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <td>$2,839,137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <td>$1,598,117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <td>$1,242,811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <td>$860,549</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Amount\n",
       "Candidates                     \n",
       "McGuire, Raymond J  $10,093,818\n",
       "Adams, Eric L        $4,739,061\n",
       "Yang, Andrew         $3,600,747\n",
       "Donovan, Shaun       $2,858,059\n",
       "Stringer, Scott M    $2,839,137\n",
       "Wiley, Maya D        $1,598,117\n",
       "Garcia, Kathryn A    $1,242,811\n",
       "Morales, Dianne        $860,549"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_amount_recieved = mayor_donations[[\"RECIPNAME\", \"AMNT\"]].groupby(\"RECIPNAME\").sum().sort_values(by=\"AMNT\", ascending=False)\n",
    "total_amount_recieved[\"AMNT\"]  = total_amount_recieved[\"AMNT\"].apply(to_money)\n",
    "total_amount_recieved = total_amount_recieved.rename_axis('Candidates').rename(columns={'AMNT': 'Amount'})\n",
    "total_amount_recieved"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "royal-cradle",
   "metadata": {},
   "outputs": [],
   "source": [
    "def largest_donors_per_candidate(donations, limit=15):\n",
    "    \"\"\"Dataframe of largest donors for each candidate\"\"\"\n",
    "    agg = donations[[\"RECIPNAME\", \"AMNT\", \"NAME\", \"EMPNAME\"]].groupby([\"RECIPNAME\", \"NAME\"]).agg({'AMNT': sum, 'EMPNAME': lambda s: s.unique() }) # .sort_values(by='AMNT', ascending=False) # .groupby(level=0, group_keys=False).head(20) # .reset_index() # ort_values(by='AMNT')  # .groupby(level=0, group_keys=False).apply(lambda x: x.sort_values(('AMNT', 'sum'), ascending=False))\n",
    "        \n",
    "    return agg['AMNT'].groupby('RECIPNAME', group_keys=False).apply(lambda x: x.sort_values(ascending=False).head(limit).apply(to_money)).to_frame()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "directed-threshold",
   "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></th>\n",
       "      <th>AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Adams, Eric L</th>\n",
       "      <th>Bensusan, Danny</th>\n",
       "      <td>$12,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waisman, Shai</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guzel, Murat</th>\n",
       "      <td>$10,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singh, Navdeep</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serova, Daria</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boutross, Diana</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bartlett, Gregory</th>\n",
       "      <td>$7,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Karandikar, Satish</th>\n",
       "      <td>$7,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akcetin, Mehmet</th>\n",
       "      <td>$7,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>David, Emanuel</th>\n",
       "      <td>$6,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cerchione, Gregory</th>\n",
       "      <td>$6,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Razi, Sami Uddin</th>\n",
       "      <td>$6,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gravante, Nicholas</th>\n",
       "      <td>$5,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basusta, Yusuf</th>\n",
       "      <td>$5,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daneshvar, Michelle</th>\n",
       "      <td>$5,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marino, John</th>\n",
       "      <td>$5,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fuzaylova, Michael</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dalamal, Aroon</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barricelli, Louis</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hraki, O</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belt, Antonia</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gaudet, Anne M</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Renaud, Stephen</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>georgiton, tony</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perez San Martin, Carlos</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>glazer, jaf</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basaranlar, Tumay</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shamis, Alina</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perdomo, Jessica</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kosokhar, Ronen</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Donovan, Shaun</th>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$19,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blumenstein, Ruth</th>\n",
       "      <td>$15,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zabar, Eli</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fredericks, Devon</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bingham, Clara</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nolen, Eliot</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briganti, Stephen</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockefeller, David</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goodman, Sara</th>\n",
       "      <td>$10,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niejelow, Alexander</th>\n",
       "      <td>$8,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hickenlooper, Robin</th>\n",
       "      <td>$8,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Whang, John</th>\n",
       "      <td>$6,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meyer, Audrey</th>\n",
       "      <td>$5,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Werner, Zachary</th>\n",
       "      <td>$5,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Lucas</th>\n",
       "      <td>$5,450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiese, Megan</th>\n",
       "      <td>$5,450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Birch, Eugenie</th>\n",
       "      <td>$5,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heilbut, Wilfred</th>\n",
       "      <td>$5,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Istel, Yves</th>\n",
       "      <td>$5,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barber, David</th>\n",
       "      <td>$5,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Traber, Catherine</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wenig, Devin</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldstein, Gordon</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Begley, Michael</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sterne, James</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore, John</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldstein, Barbara</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldrich, Robert</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trulson, Derek</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McBride, Jonathan</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Garcia, Kathryn A</th>\n",
       "      <th>Kramer, Mchael</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smith, Daniel</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lee, Michael</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sutton, Loree</th>\n",
       "      <td>$2,166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ascher, Kate</th>\n",
       "      <td>$2,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sando, vicki</th>\n",
       "      <td>$2,135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O'Neill, Hugh</th>\n",
       "      <td>$2,060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O'Donnell, Charles</th>\n",
       "      <td>$2,025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>walsh, sheila</th>\n",
       "      <td>$2,010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Farrier, Jasmine</th>\n",
       "      <td>$2,010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woods, Scott</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haot, Rachel</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tirana, Kyra</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McManus, Maureen</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tisch, James</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anderson, Gregory</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nakamura, Moses</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tisch, Merryl</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York City Local 246 (SEIU</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neuwirth, Jessica</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomberg, Emma</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hansen, Monika</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Koeppel, David J</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kalikow, Peter</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leitch, Laurie</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carroll French, Mary</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roth, Stefanie</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Durst, Helena</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lhota, Tamra</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petry, Karen</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$1,000,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams-Isom, Anne</th>\n",
       "      <td>$15,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rohatyn, Jeanne Greenber</th>\n",
       "      <td>$11,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chenault, Kenneth</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adjmi, Marcus</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gerson, Mark</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March, Stephanie</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atkins, Peter</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abramson, Carrie</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ross, Kara</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schnell, Paul</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kandel, Adam</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fuller, Vicki</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldman, Steven</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wolfe, Lisa</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rose, Joe</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lutnick, Allison</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford, Mary</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tisch, James</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rubin, Robert</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hutchins, Joan</th>\n",
       "      <td>$10,181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kempner, Michael</th>\n",
       "      <td>$10,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sharp, Robert</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Salzman, Rita</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bynoe, Peter</th>\n",
       "      <td>$9,800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fuld Jr., Richard</th>\n",
       "      <td>$9,700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colacino, Michael</th>\n",
       "      <td>$8,433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spencer, Cordell</th>\n",
       "      <td>$7,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rose, Elihu</th>\n",
       "      <td>$7,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heyman, Gregory</th>\n",
       "      <td>$7,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Morales, Dianne</th>\n",
       "      <th>Weinberg, Jason</th>\n",
       "      <td>$6,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weiss, Marina</th>\n",
       "      <td>$4,326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gupta, Deepali</th>\n",
       "      <td>$2,802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frankel, Justin</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cole, Sarah</th>\n",
       "      <td>$2,461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little, Keith</th>\n",
       "      <td>$2,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matloob, Michael</th>\n",
       "      <td>$2,121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>momeyer, alan</th>\n",
       "      <td>$2,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shavers, Frances</th>\n",
       "      <td>$2,070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Murray, Edward</th>\n",
       "      <td>$2,029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, William</th>\n",
       "      <td>$2,021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lichten, Stuart</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petrzela, Natalia</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sauer, Chris</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pan, Jimmy</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schnapper, Simeon</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Murray, Brian</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kovner, Katherine</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cramer, Tom</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wainright, Hannah</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weinberg, fred</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sander, Elizabeth</th>\n",
       "      <td>$1,990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lopez, Pedro</th>\n",
       "      <td>$1,800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beltran, Edwin</th>\n",
       "      <td>$1,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chalfant, kathleen</th>\n",
       "      <td>$1,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NIEVES, LISETTE</th>\n",
       "      <td>$1,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levy, Kathryn</th>\n",
       "      <td>$1,702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomlinson, Gregory</th>\n",
       "      <td>$1,571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lehmann, Suzanne</th>\n",
       "      <td>$1,550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schauer, Marc</th>\n",
       "      <td>$1,550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Stringer, Scott M</th>\n",
       "      <th>Guenther, Diane A</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Klein, John S</th>\n",
       "      <td>$10,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Redhead, Fabian</th>\n",
       "      <td>$9,900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wolf, Richard</th>\n",
       "      <td>$8,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quinlan, Robert</th>\n",
       "      <td>$7,900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeckendorf, Arthur</th>\n",
       "      <td>$7,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lee Pak, Michelle</th>\n",
       "      <td>$7,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pak, Chul</th>\n",
       "      <td>$7,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gelman, Audrey</th>\n",
       "      <td>$5,481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cohen, Steven</th>\n",
       "      <td>$5,475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sinensky, Michael</th>\n",
       "      <td>$5,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mehiel, Karen</th>\n",
       "      <td>$5,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Koeppel, Howard</th>\n",
       "      <td>$5,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore, Judith</th>\n",
       "      <td>$5,180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosenberg, Samuel</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doctors Council SEIU COPE</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yun, Daniel</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Graham, Nadine</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maloney, Kevin</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akhtar, Farida</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domino, Mark</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brodsky, Daniel</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fetner, Harold</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fetner, Nina</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perelman, Ronald O</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosen, Daniel</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seecharan, Beesham A</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jerome, Stephen J</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jerome, Marc</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Wiley, Maya D</th>\n",
       "      <th>Essex, Andrew</th>\n",
       "      <td>$4,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Segal, Evan</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carter, Zachary</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wang, Elizabeth</th>\n",
       "      <td>$3,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinderhughes, Dianne</th>\n",
       "      <td>$3,400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harb, Louise</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tamagni, Jordan</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Messing, Debra</th>\n",
       "      <td>$2,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bluhdorn, Dominique</th>\n",
       "      <td>$2,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spencer, Leslie</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winslow, Barbara</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rubin, David</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mandel, Sherry</th>\n",
       "      <td>$2,432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hershenov, Eileen</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Stan</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McAuliffe, Kathryn</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oliveira, Ana</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Segal, Robert</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leif, Carol</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cox, Maurice</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smiley, David</th>\n",
       "      <td>$2,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Storace, Patricia</th>\n",
       "      <td>$2,125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phillips, Karen</th>\n",
       "      <td>$2,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Girard, Francoise</th>\n",
       "      <td>$2,025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parker, Dennis</th>\n",
       "      <td>$2,010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lee, Mary</th>\n",
       "      <td>$2,010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross, Marc</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tandon, Aarti</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Green, Nancye</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grossinger, Ken</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Yang, Andrew</th>\n",
       "      <th>Koo, Julia</th>\n",
       "      <td>$9,400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lu, Tony</th>\n",
       "      <td>$4,470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chen, Johnson</th>\n",
       "      <td>$4,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hu, Jordan</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cornick, Kenneth</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bergman, Barry</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun, Yeren</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emerson, Holly</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bernstein, Stephen</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diaco, Anthony</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiCristo, Aurelia</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nguyen, Kevin</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Xu, Guan-Yu</th>\n",
       "      <td>$3,980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Srinivasan, Deepak</th>\n",
       "      <td>$3,801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lai, Chao Cheng</th>\n",
       "      <td>$3,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Horowitz, Jaime</th>\n",
       "      <td>$3,505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rong, hao</th>\n",
       "      <td>$3,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Livingston, Philip</th>\n",
       "      <td>$3,400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Edelman, Richard</th>\n",
       "      <td>$3,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liu, David</th>\n",
       "      <td>$3,075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chau, Jonathan</th>\n",
       "      <td>$3,048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sternlicht, Mimi</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lynton, Michael</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yu, Wilken</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gerstman, Cheryl</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chan, Ying</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belsky, Scott</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fitzgerald, Mike</th>\n",
       "      <td>$2,800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brown, Kristopher</th>\n",
       "      <td>$2,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Katzman, Richard</th>\n",
       "      <td>$2,750</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                        AMNT\n",
       "RECIPNAME          NAME                                     \n",
       "Adams, Eric L      Bensusan, Danny                   $12,100\n",
       "                   Waisman, Shai                     $10,200\n",
       "                   Guzel, Murat                      $10,100\n",
       "                   Singh, Navdeep                    $10,000\n",
       "                   Serova, Daria                     $10,000\n",
       "                   Boutross, Diana                   $10,000\n",
       "                   Bartlett, Gregory                  $7,600\n",
       "                   Karandikar, Satish                 $7,100\n",
       "                   Akcetin, Mehmet                    $7,000\n",
       "                   David, Emanuel                     $6,600\n",
       "                   Cerchione, Gregory                 $6,000\n",
       "                   Razi, Sami Uddin                   $6,000\n",
       "                   Gravante, Nicholas                 $5,750\n",
       "                   Basusta, Yusuf                     $5,500\n",
       "                   Daneshvar, Michelle                $5,350\n",
       "                   Marino, John                       $5,250\n",
       "                   Fuzaylova, Michael                 $5,100\n",
       "                   Dalamal, Aroon                     $5,100\n",
       "                   Barricelli, Louis                  $5,100\n",
       "                   Hraki, O                           $5,100\n",
       "                   Belt, Antonia                      $5,100\n",
       "                   Gaudet, Anne M                     $5,100\n",
       "                   Renaud, Stephen                    $5,100\n",
       "                   georgiton, tony                    $5,100\n",
       "                   Perez San Martin, Carlos           $5,100\n",
       "                   glazer, jaf                        $5,100\n",
       "                   Basaranlar, Tumay                  $5,100\n",
       "                   Shamis, Alina                      $5,100\n",
       "                   Perdomo, Jessica                   $5,100\n",
       "                   Kosokhar, Ronen                    $5,100\n",
       "Donovan, Shaun     Donovan, Shaun                    $19,100\n",
       "                   Blumenstein, Ruth                 $15,300\n",
       "                   Zabar, Eli                        $10,200\n",
       "                   Fredericks, Devon                 $10,200\n",
       "                   Bingham, Clara                    $10,200\n",
       "                   Nolen, Eliot                      $10,200\n",
       "                   Briganti, Stephen                 $10,200\n",
       "                   Rockefeller, David                $10,200\n",
       "                   Goodman, Sara                     $10,150\n",
       "                   Niejelow, Alexander                $8,100\n",
       "                   Hickenlooper, Robin                $8,000\n",
       "                   Whang, John                        $6,100\n",
       "                   Meyer, Audrey                      $5,600\n",
       "                   Werner, Zachary                    $5,600\n",
       "                   Donovan, Lucas                     $5,450\n",
       "                   Wiese, Megan                       $5,450\n",
       "                   Birch, Eugenie                     $5,350\n",
       "                   Heilbut, Wilfred                   $5,200\n",
       "                   Istel, Yves                        $5,200\n",
       "                   Barber, David                      $5,150\n",
       "                   Traber, Catherine                  $5,100\n",
       "                   Wenig, Devin                       $5,100\n",
       "                   Goldstein, Gordon                  $5,100\n",
       "                   Begley, Michael                    $5,100\n",
       "                   Sterne, James                      $5,100\n",
       "                   Moore, John                        $5,100\n",
       "                   Goldstein, Barbara                 $5,100\n",
       "                   Goldrich, Robert                   $5,100\n",
       "                   Trulson, Derek                     $5,100\n",
       "                   McBride, Jonathan                  $5,100\n",
       "Garcia, Kathryn A  Kramer, Mchael                     $2,500\n",
       "                   Smith, Daniel                      $2,500\n",
       "                   Lee, Michael                       $2,250\n",
       "                   Sutton, Loree                      $2,166\n",
       "                   Ascher, Kate                       $2,150\n",
       "                   sando, vicki                       $2,135\n",
       "                   O'Neill, Hugh                      $2,060\n",
       "                   O'Donnell, Charles                 $2,025\n",
       "                   walsh, sheila                      $2,010\n",
       "                   Farrier, Jasmine                   $2,010\n",
       "                   Woods, Scott                       $2,000\n",
       "                   Haot, Rachel                       $2,000\n",
       "                   Tirana, Kyra                       $2,000\n",
       "                   McManus, Maureen                   $2,000\n",
       "                   Tisch, James                       $2,000\n",
       "                   Anderson, Gregory                  $2,000\n",
       "                   Nakamura, Moses                    $2,000\n",
       "                   Tisch, Merryl                      $2,000\n",
       "                   New York City Local 246 (SEIU      $2,000\n",
       "                   Neuwirth, Jessica                  $2,000\n",
       "                   Bloomberg, Emma                    $2,000\n",
       "                   Hansen, Monika                     $2,000\n",
       "                   Koeppel, David J                   $2,000\n",
       "                   Kalikow, Peter                     $2,000\n",
       "                   Leitch, Laurie                     $2,000\n",
       "                   Carroll French, Mary               $2,000\n",
       "                   Roth, Stefanie                     $2,000\n",
       "                   Durst, Helena                      $2,000\n",
       "                   Lhota, Tamra                       $2,000\n",
       "                   Petry, Karen                       $2,000\n",
       "McGuire, Raymond J McGuire, Raymond J             $1,000,000\n",
       "                   Williams-Isom, Anne               $15,300\n",
       "                   Rohatyn, Jeanne Greenber          $11,200\n",
       "                   Chenault, Kenneth                 $10,200\n",
       "                   Adjmi, Marcus                     $10,200\n",
       "                   Gerson, Mark                      $10,200\n",
       "                   March, Stephanie                  $10,200\n",
       "                   Atkins, Peter                     $10,200\n",
       "                   Abramson, Carrie                  $10,200\n",
       "                   Ross, Kara                        $10,200\n",
       "                   Schnell, Paul                     $10,200\n",
       "                   Kandel, Adam                      $10,200\n",
       "                   Fuller, Vicki                     $10,200\n",
       "                   Goldman, Steven                   $10,200\n",
       "                   Wolfe, Lisa                       $10,200\n",
       "                   Rose, Joe                         $10,200\n",
       "                   Lutnick, Allison                  $10,200\n",
       "                   Ford, Mary                        $10,200\n",
       "                   Tisch, James                      $10,200\n",
       "                   Rubin, Robert                     $10,200\n",
       "                   Hutchins, Joan                    $10,181\n",
       "                   Kempner, Michael                  $10,100\n",
       "                   Sharp, Robert                     $10,000\n",
       "                   Salzman, Rita                     $10,000\n",
       "                   Bynoe, Peter                       $9,800\n",
       "                   Fuld Jr., Richard                  $9,700\n",
       "                   Colacino, Michael                  $8,433\n",
       "                   Spencer, Cordell                   $7,600\n",
       "                   Rose, Elihu                        $7,600\n",
       "                   Heyman, Gregory                    $7,600\n",
       "Morales, Dianne    Weinberg, Jason                    $6,000\n",
       "                   Weiss, Marina                      $4,326\n",
       "                   Gupta, Deepali                     $2,802\n",
       "                   Frankel, Justin                    $2,500\n",
       "                   Cole, Sarah                        $2,461\n",
       "                   Little, Keith                      $2,350\n",
       "                   Matloob, Michael                   $2,121\n",
       "                   momeyer, alan                      $2,100\n",
       "                   Shavers, Frances                   $2,070\n",
       "                   Murray, Edward                     $2,029\n",
       "                   Johnson, William                   $2,021\n",
       "                   Lichten, Stuart                    $2,000\n",
       "                   Petrzela, Natalia                  $2,000\n",
       "                   Sauer, Chris                       $2,000\n",
       "                   Pan, Jimmy                         $2,000\n",
       "                   Schnapper, Simeon                  $2,000\n",
       "                   Murray, Brian                      $2,000\n",
       "                   Kovner, Katherine                  $2,000\n",
       "                   Cramer, Tom                        $2,000\n",
       "                   Wainright, Hannah                  $2,000\n",
       "                   weinberg, fred                     $2,000\n",
       "                   Sander, Elizabeth                  $1,990\n",
       "                   Lopez, Pedro                       $1,800\n",
       "                   Beltran, Edwin                     $1,750\n",
       "                   chalfant, kathleen                 $1,750\n",
       "                   NIEVES, LISETTE                    $1,750\n",
       "                   Levy, Kathryn                      $1,702\n",
       "                   Tomlinson, Gregory                 $1,571\n",
       "                   Lehmann, Suzanne                   $1,550\n",
       "                   Schauer, Marc                      $1,550\n",
       "Stringer, Scott M  Guenther, Diane A                 $10,200\n",
       "                   Klein, John S                     $10,100\n",
       "                   Redhead, Fabian                    $9,900\n",
       "                   Wolf, Richard                      $8,250\n",
       "                   Quinlan, Robert                    $7,900\n",
       "                   Zeckendorf, Arthur                 $7,500\n",
       "                   Lee Pak, Michelle                  $7,100\n",
       "                   Pak, Chul                          $7,100\n",
       "                   Gelman, Audrey                     $5,481\n",
       "                   Cohen, Steven                      $5,475\n",
       "                   Sinensky, Michael                  $5,350\n",
       "                   Mehiel, Karen                      $5,350\n",
       "                   Koeppel, Howard                    $5,200\n",
       "                   Moore, Judith                      $5,180\n",
       "                   Fisher, Kenneth                    $5,100\n",
       "                   Rosenberg, Samuel                  $5,100\n",
       "                   Doctors Council SEIU COPE          $5,100\n",
       "                   Yun, Daniel                        $5,100\n",
       "                   Graham, Nadine                     $5,100\n",
       "                   Maloney, Kevin                     $5,100\n",
       "                   Akhtar, Farida                     $5,100\n",
       "                   Domino, Mark                       $5,100\n",
       "                   Brodsky, Daniel                    $5,100\n",
       "                   Fetner, Harold                     $5,100\n",
       "                   Fetner, Nina                       $5,100\n",
       "                   Perelman, Ronald O                 $5,100\n",
       "                   Rosen, Daniel                      $5,100\n",
       "                   Seecharan, Beesham A               $5,100\n",
       "                   Jerome, Stephen J                  $5,100\n",
       "                   Jerome, Marc                       $5,100\n",
       "Wiley, Maya D      Essex, Andrew                      $4,600\n",
       "                   Segal, Evan                        $4,000\n",
       "                   Carter, Zachary                    $4,000\n",
       "                   Wang, Elizabeth                    $3,500\n",
       "                   Pinderhughes, Dianne               $3,400\n",
       "                   Harb, Louise                       $3,000\n",
       "                   Tamagni, Jordan                    $3,000\n",
       "                   Messing, Debra                     $2,750\n",
       "                   Bluhdorn, Dominique                $2,750\n",
       "                   Spencer, Leslie                    $2,500\n",
       "                   Winslow, Barbara                   $2,500\n",
       "                   Rubin, David                       $2,500\n",
       "                   Mandel, Sherry                     $2,432\n",
       "                   Hershenov, Eileen                  $2,250\n",
       "                   Johnson, Stan                      $2,250\n",
       "                   McAuliffe, Kathryn                 $2,250\n",
       "                   Oliveira, Ana                      $2,250\n",
       "                   Segal, Robert                      $2,250\n",
       "                   Leif, Carol                        $2,250\n",
       "                   Cox, Maurice                       $2,250\n",
       "                   Smiley, David                      $2,200\n",
       "                   Storace, Patricia                  $2,125\n",
       "                   Phillips, Karen                    $2,100\n",
       "                   Girard, Francoise                  $2,025\n",
       "                   Parker, Dennis                     $2,010\n",
       "                   Lee, Mary                          $2,010\n",
       "                   Gross, Marc                        $2,000\n",
       "                   Tandon, Aarti                      $2,000\n",
       "                   Green, Nancye                      $2,000\n",
       "                   Grossinger, Ken                    $2,000\n",
       "Yang, Andrew       Koo, Julia                         $9,400\n",
       "                   Lu, Tony                           $4,470\n",
       "                   Chen, Johnson                      $4,300\n",
       "                   Hu, Jordan                         $4,000\n",
       "                   Cornick, Kenneth                   $4,000\n",
       "                   Bergman, Barry                     $4,000\n",
       "                   Sun, Yeren                         $4,000\n",
       "                   Emerson, Holly                     $4,000\n",
       "                   Bernstein, Stephen                 $4,000\n",
       "                   Diaco, Anthony                     $4,000\n",
       "                   DiCristo, Aurelia                  $4,000\n",
       "                   Nguyen, Kevin                      $4,000\n",
       "                   Xu, Guan-Yu                        $3,980\n",
       "                   Srinivasan, Deepak                 $3,801\n",
       "                   Lai, Chao Cheng                    $3,750\n",
       "                   Horowitz, Jaime                    $3,505\n",
       "                   rong, hao                          $3,500\n",
       "                   Livingston, Philip                 $3,400\n",
       "                   Edelman, Richard                   $3,250\n",
       "                   Liu, David                         $3,075\n",
       "                   Chau, Jonathan                     $3,048\n",
       "                   Sternlicht, Mimi                   $3,000\n",
       "                   Lynton, Michael                    $3,000\n",
       "                   Yu, Wilken                         $3,000\n",
       "                   Gerstman, Cheryl                   $3,000\n",
       "                   Chan, Ying                         $3,000\n",
       "                   Belsky, Scott                      $3,000\n",
       "                   Fitzgerald, Mike                   $2,800\n",
       "                   Brown, Kristopher                  $2,750\n",
       "                   Katzman, Richard                   $2,750"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_donors_per_candidate(mayor_donations, limit=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "comparable-progress",
   "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></th>\n",
       "      <th>AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Adams, Eric L</th>\n",
       "      <th>Bensusan, Danny</th>\n",
       "      <td>$12,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waisman, Shai</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guzel, Murat</th>\n",
       "      <td>$10,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singh, Navdeep</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serova, Daria</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boutross, Diana</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bartlett, Gregory</th>\n",
       "      <td>$7,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Karandikar, Satish</th>\n",
       "      <td>$7,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akcetin, Mehmet</th>\n",
       "      <td>$7,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>David, Emanuel</th>\n",
       "      <td>$6,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Donovan, Shaun</th>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$19,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blumenstein, Ruth</th>\n",
       "      <td>$15,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zabar, Eli</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fredericks, Devon</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bingham, Clara</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nolen, Eliot</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briganti, Stephen</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockefeller, David</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goodman, Sara</th>\n",
       "      <td>$10,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niejelow, Alexander</th>\n",
       "      <td>$8,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Garcia, Kathryn A</th>\n",
       "      <th>Kramer, Mchael</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smith, Daniel</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lee, Michael</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sutton, Loree</th>\n",
       "      <td>$2,166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ascher, Kate</th>\n",
       "      <td>$2,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sando, vicki</th>\n",
       "      <td>$2,135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O'Neill, Hugh</th>\n",
       "      <td>$2,060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O'Donnell, Charles</th>\n",
       "      <td>$2,025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>walsh, sheila</th>\n",
       "      <td>$2,010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Farrier, Jasmine</th>\n",
       "      <td>$2,010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$1,000,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams-Isom, Anne</th>\n",
       "      <td>$15,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rohatyn, Jeanne Greenber</th>\n",
       "      <td>$11,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chenault, Kenneth</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adjmi, Marcus</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gerson, Mark</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March, Stephanie</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atkins, Peter</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abramson, Carrie</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ross, Kara</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Morales, Dianne</th>\n",
       "      <th>Weinberg, Jason</th>\n",
       "      <td>$6,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weiss, Marina</th>\n",
       "      <td>$4,326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gupta, Deepali</th>\n",
       "      <td>$2,802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frankel, Justin</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cole, Sarah</th>\n",
       "      <td>$2,461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little, Keith</th>\n",
       "      <td>$2,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matloob, Michael</th>\n",
       "      <td>$2,121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>momeyer, alan</th>\n",
       "      <td>$2,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shavers, Frances</th>\n",
       "      <td>$2,070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Murray, Edward</th>\n",
       "      <td>$2,029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Stringer, Scott M</th>\n",
       "      <th>Guenther, Diane A</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Klein, John S</th>\n",
       "      <td>$10,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Redhead, Fabian</th>\n",
       "      <td>$9,900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wolf, Richard</th>\n",
       "      <td>$8,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quinlan, Robert</th>\n",
       "      <td>$7,900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeckendorf, Arthur</th>\n",
       "      <td>$7,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lee Pak, Michelle</th>\n",
       "      <td>$7,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pak, Chul</th>\n",
       "      <td>$7,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gelman, Audrey</th>\n",
       "      <td>$5,481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cohen, Steven</th>\n",
       "      <td>$5,475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Wiley, Maya D</th>\n",
       "      <th>Essex, Andrew</th>\n",
       "      <td>$4,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Segal, Evan</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carter, Zachary</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wang, Elizabeth</th>\n",
       "      <td>$3,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinderhughes, Dianne</th>\n",
       "      <td>$3,400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harb, Louise</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tamagni, Jordan</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Messing, Debra</th>\n",
       "      <td>$2,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bluhdorn, Dominique</th>\n",
       "      <td>$2,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spencer, Leslie</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Yang, Andrew</th>\n",
       "      <th>Koo, Julia</th>\n",
       "      <td>$9,400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lu, Tony</th>\n",
       "      <td>$4,470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chen, Johnson</th>\n",
       "      <td>$4,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hu, Jordan</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cornick, Kenneth</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bergman, Barry</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun, Yeren</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emerson, Holly</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bernstein, Stephen</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diaco, Anthony</th>\n",
       "      <td>$4,000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   AMNT\n",
       "RECIPNAME          NAME                                \n",
       "Adams, Eric L      Bensusan, Danny              $12,100\n",
       "                   Waisman, Shai                $10,200\n",
       "                   Guzel, Murat                 $10,100\n",
       "                   Singh, Navdeep               $10,000\n",
       "                   Serova, Daria                $10,000\n",
       "                   Boutross, Diana              $10,000\n",
       "                   Bartlett, Gregory             $7,600\n",
       "                   Karandikar, Satish            $7,100\n",
       "                   Akcetin, Mehmet               $7,000\n",
       "                   David, Emanuel                $6,600\n",
       "Donovan, Shaun     Donovan, Shaun               $19,100\n",
       "                   Blumenstein, Ruth            $15,300\n",
       "                   Zabar, Eli                   $10,200\n",
       "                   Fredericks, Devon            $10,200\n",
       "                   Bingham, Clara               $10,200\n",
       "                   Nolen, Eliot                 $10,200\n",
       "                   Briganti, Stephen            $10,200\n",
       "                   Rockefeller, David           $10,200\n",
       "                   Goodman, Sara                $10,150\n",
       "                   Niejelow, Alexander           $8,100\n",
       "Garcia, Kathryn A  Kramer, Mchael                $2,500\n",
       "                   Smith, Daniel                 $2,500\n",
       "                   Lee, Michael                  $2,250\n",
       "                   Sutton, Loree                 $2,166\n",
       "                   Ascher, Kate                  $2,150\n",
       "                   sando, vicki                  $2,135\n",
       "                   O'Neill, Hugh                 $2,060\n",
       "                   O'Donnell, Charles            $2,025\n",
       "                   walsh, sheila                 $2,010\n",
       "                   Farrier, Jasmine              $2,010\n",
       "McGuire, Raymond J McGuire, Raymond J        $1,000,000\n",
       "                   Williams-Isom, Anne          $15,300\n",
       "                   Rohatyn, Jeanne Greenber     $11,200\n",
       "                   Chenault, Kenneth            $10,200\n",
       "                   Adjmi, Marcus                $10,200\n",
       "                   Gerson, Mark                 $10,200\n",
       "                   March, Stephanie             $10,200\n",
       "                   Atkins, Peter                $10,200\n",
       "                   Abramson, Carrie             $10,200\n",
       "                   Ross, Kara                   $10,200\n",
       "Morales, Dianne    Weinberg, Jason               $6,000\n",
       "                   Weiss, Marina                 $4,326\n",
       "                   Gupta, Deepali                $2,802\n",
       "                   Frankel, Justin               $2,500\n",
       "                   Cole, Sarah                   $2,461\n",
       "                   Little, Keith                 $2,350\n",
       "                   Matloob, Michael              $2,121\n",
       "                   momeyer, alan                 $2,100\n",
       "                   Shavers, Frances              $2,070\n",
       "                   Murray, Edward                $2,029\n",
       "Stringer, Scott M  Guenther, Diane A            $10,200\n",
       "                   Klein, John S                $10,100\n",
       "                   Redhead, Fabian               $9,900\n",
       "                   Wolf, Richard                 $8,250\n",
       "                   Quinlan, Robert               $7,900\n",
       "                   Zeckendorf, Arthur            $7,500\n",
       "                   Lee Pak, Michelle             $7,100\n",
       "                   Pak, Chul                     $7,100\n",
       "                   Gelman, Audrey                $5,481\n",
       "                   Cohen, Steven                 $5,475\n",
       "Wiley, Maya D      Essex, Andrew                 $4,600\n",
       "                   Segal, Evan                   $4,000\n",
       "                   Carter, Zachary               $4,000\n",
       "                   Wang, Elizabeth               $3,500\n",
       "                   Pinderhughes, Dianne          $3,400\n",
       "                   Harb, Louise                  $3,000\n",
       "                   Tamagni, Jordan               $3,000\n",
       "                   Messing, Debra                $2,750\n",
       "                   Bluhdorn, Dominique           $2,750\n",
       "                   Spencer, Leslie               $2,500\n",
       "Yang, Andrew       Koo, Julia                    $9,400\n",
       "                   Lu, Tony                      $4,470\n",
       "                   Chen, Johnson                 $4,300\n",
       "                   Hu, Jordan                    $4,000\n",
       "                   Cornick, Kenneth              $4,000\n",
       "                   Bergman, Barry                $4,000\n",
       "                   Sun, Yeren                    $4,000\n",
       "                   Emerson, Holly                $4,000\n",
       "                   Bernstein, Stephen            $4,000\n",
       "                   Diaco, Anthony                $4,000"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Largest Flagged Donors\n",
    "largest_donors_per_candidate(mayor_donations, limit=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "floppy-sector",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cfb_link(name, only_mayor=False):\n",
    "    # url = \"https://www.nyccfb.info/FTMSearch/Candidates/Contributions?ec=2021&rt=can&ir={}\"\n",
    "    \n",
    "    if only_mayor:\n",
    "        url = \"https://www.nyccfb.info/FTMSearch/Candidates/Contributions?ec=2021&rt=can&ofc=1%2C11&ir={}\"\n",
    "    else:\n",
    "        url = \"https://www.nyccfb.info/FTMSearch/Candidates/Contributions?ec=2021&rt=can&ir={}\"\n",
    "        \n",
    "\n",
    "    return url.format(urllib.parse.quote_plus(name))\n",
    "\n",
    "\n",
    "def all_top_donors_for(candidate):\n",
    "        columns = ['RECIPNAME', 'DATE', 'AMNT', 'NAME', 'ZIP', 'OCCUPATION', 'EMPNAME']\n",
    "        donations = mayor_donations[mayor_donations['RECIPNAME'] == candidate][columns]\n",
    "        donations[\"name\"] =  donations[\"NAME\"].apply(to_person_name)\n",
    "        donations.rename(columns={'NAME': 'cfb_name', 'OCCUPATION': 'cfb_occupation', 'EMPNAME': 'cfb_employer'}, inplace=True)\n",
    "        donations['cfb_link'] = donations['cfb_name'].apply(cfb_link)\n",
    "        return donations.sort_values('AMNT', ascending=False)\n",
    "\n",
    "def flagged_donors_for(candidate):\n",
    "        columns = ['RECIPNAME', 'DATE', 'AMNT', 'NAME', 'ZIP', 'OCCUPATION', 'EMPNAME']\n",
    "        donations = flagged_donations[flagged_donations['RECIPNAME'] == candidate][columns]\n",
    "        donations[\"name\"] =  donations[\"NAME\"].apply(to_person_name)\n",
    "        donations.rename(columns={'NAME': 'cfb_name', 'OCCUPATION': 'cfb_occupation', 'EMPNAME': 'cfb_employer'}, inplace=True)\n",
    "        donations['cfb_link'] = donations['cfb_name'].apply(functools.partial(cfb_link, only_mayor=True))\n",
    "        return donations.sort_values('AMNT', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "circular-tissue",
   "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>RECIPNAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>AMNT</th>\n",
       "      <th>cfb_name</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>cfb_occupation</th>\n",
       "      <th>cfb_employer</th>\n",
       "      <th>name</th>\n",
       "      <th>cfb_link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>366523</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>1/4/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Zeiler, John</td>\n",
       "      <td>10023</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>Hudson Housing Capital</td>\n",
       "      <td>John Zeiler</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28288</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>6/23/2020</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Bernstein, Joshua</td>\n",
       "      <td>20007</td>\n",
       "      <td>Real Estate Management</td>\n",
       "      <td>Bernstein Management Corp</td>\n",
       "      <td>Joshua Bernstein</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103359</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>12/9/2020</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Fisher, Winston</td>\n",
       "      <td>10023</td>\n",
       "      <td>Partner</td>\n",
       "      <td>Fisher Brothers</td>\n",
       "      <td>Winston Fisher</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109492</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>3/19/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Friedman, Eileen</td>\n",
       "      <td>10019</td>\n",
       "      <td>Real Estate Consultant</td>\n",
       "      <td>RCS Real Estate</td>\n",
       "      <td>Eileen Friedman</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92776</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>5/13/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Elbaum, Abigail Black</td>\n",
       "      <td>10028</td>\n",
       "      <td>Principal</td>\n",
       "      <td>Ogden CAP Properties, LLC</td>\n",
       "      <td>Abigail Black Elbaum</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127122</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>4/9/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Greenberg, Mark</td>\n",
       "      <td>6759</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>MGRE Co LLC</td>\n",
       "      <td>Mark Greenberg</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167795</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>1/28/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>KATZ, JEFFREY</td>\n",
       "      <td>10023</td>\n",
       "      <td>Real Estate Developer</td>\n",
       "      <td>Sherwood Equities Inc.</td>\n",
       "      <td>JEFFREY KATZ</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78375</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>12/12/2020</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>DeBode, Gary</td>\n",
       "      <td>7901</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>Gallium Real Estate LLC</td>\n",
       "      <td>Gary DeBode</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61828</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>2/21/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Clark, Ric</td>\n",
       "      <td>11201</td>\n",
       "      <td>Managing Partner</td>\n",
       "      <td>WatermanClark</td>\n",
       "      <td>Ric Clark</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225637</th>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>4/12/2021</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>Milstein, Constance J</td>\n",
       "      <td>10014</td>\n",
       "      <td>Real Estate Owner/Principal</td>\n",
       "      <td>Ogden CAP Properties, LLC</td>\n",
       "      <td>Constance J Milstein</td>\n",
       "      <td>https://www.nyccfb.info/FTMSearch/Candidates/C...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             RECIPNAME        DATE    AMNT               cfb_name    ZIP  \\\n",
       "366523  Donovan, Shaun    1/4/2021  5100.0           Zeiler, John  10023   \n",
       "28288   Donovan, Shaun   6/23/2020  5100.0      Bernstein, Joshua  20007   \n",
       "103359  Donovan, Shaun   12/9/2020  5100.0        Fisher, Winston  10023   \n",
       "109492  Donovan, Shaun   3/19/2021  5100.0       Friedman, Eileen  10019   \n",
       "92776   Donovan, Shaun   5/13/2021  5100.0  Elbaum, Abigail Black  10028   \n",
       "127122  Donovan, Shaun    4/9/2021  5100.0        Greenberg, Mark   6759   \n",
       "167795  Donovan, Shaun   1/28/2021  5100.0          KATZ, JEFFREY  10023   \n",
       "78375   Donovan, Shaun  12/12/2020  5100.0           DeBode, Gary   7901   \n",
       "61828   Donovan, Shaun   2/21/2021  5100.0             Clark, Ric  11201   \n",
       "225637  Donovan, Shaun   4/12/2021  5100.0  Milstein, Constance J  10014   \n",
       "\n",
       "                     cfb_occupation               cfb_employer  \\\n",
       "366523                  Real Estate     Hudson Housing Capital   \n",
       "28288        Real Estate Management  Bernstein Management Corp   \n",
       "103359                      Partner            Fisher Brothers   \n",
       "109492       Real Estate Consultant            RCS Real Estate   \n",
       "92776                     Principal  Ogden CAP Properties, LLC   \n",
       "127122                  Real Estate                MGRE Co LLC   \n",
       "167795        Real Estate Developer     Sherwood Equities Inc.   \n",
       "78375                   Real Estate    Gallium Real Estate LLC   \n",
       "61828              Managing Partner              WatermanClark   \n",
       "225637  Real Estate Owner/Principal  Ogden CAP Properties, LLC   \n",
       "\n",
       "                        name  \\\n",
       "366523           John Zeiler   \n",
       "28288       Joshua Bernstein   \n",
       "103359        Winston Fisher   \n",
       "109492       Eileen Friedman   \n",
       "92776   Abigail Black Elbaum   \n",
       "127122        Mark Greenberg   \n",
       "167795          JEFFREY KATZ   \n",
       "78375            Gary DeBode   \n",
       "61828              Ric Clark   \n",
       "225637  Constance J Milstein   \n",
       "\n",
       "                                                 cfb_link  \n",
       "366523  https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "28288   https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "103359  https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "109492  https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "92776   https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "127122  https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "167795  https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "78375   https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "61828   https://www.nyccfb.info/FTMSearch/Candidates/C...  \n",
       "225637  https://www.nyccfb.info/FTMSearch/Candidates/C...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flagged_donors_for('Donovan, Shaun').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "forbidden-evaluation",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10 entries, 325868 to 183492\n",
      "Data columns (total 9 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   RECIPNAME       10 non-null     object \n",
      " 1   DATE            10 non-null     object \n",
      " 2   AMNT            10 non-null     float64\n",
      " 3   cfb_name        10 non-null     object \n",
      " 4   ZIP             10 non-null     object \n",
      " 5   cfb_occupation  10 non-null     object \n",
      " 6   cfb_employer    10 non-null     object \n",
      " 7   name            10 non-null     object \n",
      " 8   cfb_link        10 non-null     object \n",
      "dtypes: float64(1), object(8)\n",
      "memory usage: 800.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "flagged_donors_for('Adams, Eric L').head(10).info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "engaging-rehabilitation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "345"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(flagged_donations[flagged_donations['RECIPNAME'] == 'Adams, Eric L']['NAME'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "adjustable-tokyo",
   "metadata": {},
   "outputs": [],
   "source": [
    "pathlib.Path(\"donations\").mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "# Saves two CSV files for candidate\n",
    "#  candidate_top_realestate_donors.csv\n",
    "#  canddiate_top_donors.csv\n",
    "# see real_estate_donors_for() and all_top_donors_for()\n",
    "for cand in ['Adams, Eric L', 'Donovan, Shaun', 'Garcia, Kathryn A', 'McGuire, Raymond J', 'Stringer, Scott M', 'Yang, Andrew']:\n",
    "    path = f\"donations/{candidate_last_names.get(cand)}_top_flagged_donors.csv\"\n",
    "    flagged_donors_for(cand).head(100).to_csv(path, index=False)\n",
    "    \n",
    "    path = f\"donations/{candidate_last_names.get(cand)}_top_donors.csv\"\n",
    "    all_top_donors_for(cand).head(250).to_csv(path, index=False)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fifth-tuner",
   "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></th>\n",
       "      <th>AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Adams, Eric L</th>\n",
       "      <th>Boutross, Diana</th>\n",
       "      <td>$10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tamir, Elliot</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demirjian, Alexis</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borrok, Charles R.</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cohen, Adir</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Donovan, Shaun</th>\n",
       "      <th>Milstein, Constance J</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore, John</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeiler, John</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winn, Arthur</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elbaum, Abigail Black</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Garcia, Kathryn A</th>\n",
       "      <th>Kerr, Zachary</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Koeppel, David J</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kalikow, Peter</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MacArthur, Andrew</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mosler, Wendy</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Colacino, Michael</th>\n",
       "      <td>$8,433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldberg, Jeffrey</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trulson, Derek</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DeWoody, Beth</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elbaum, Abigail</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Morales, Dianne</th>\n",
       "      <th>Rosenthal, Richard</th>\n",
       "      <td>$500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neveloff, Jay</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gonzalez, Teresa</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fried, Daniel</th>\n",
       "      <td>$350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parvizi, Nazli</th>\n",
       "      <td>$300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Stringer, Scott M</th>\n",
       "      <th>Klein, John S</th>\n",
       "      <td>$10,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quinlan, Robert</th>\n",
       "      <td>$7,900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Siegel, Stephen B</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fetner, Harold</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Wiley, Maya D</th>\n",
       "      <th>Shubert, William</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Khan, Fazeel</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rubin, Alan</th>\n",
       "      <td>$1,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shaw Clouse, Michelle</th>\n",
       "      <td>$1,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Michael</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Yang, Andrew</th>\n",
       "      <th>Shiah, Patricia</th>\n",
       "      <td>$2,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pollack, Allan</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wei, Nelson</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russo, Greg</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Joseph, Panepinto A</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             AMNT\n",
       "RECIPNAME          NAME                          \n",
       "Adams, Eric L      Boutross, Diana        $10,000\n",
       "                   tamir, Elliot           $5,100\n",
       "                   Demirjian, Alexis       $5,100\n",
       "                   Borrok, Charles R.      $5,100\n",
       "                   Cohen, Adir             $5,100\n",
       "Donovan, Shaun     Milstein, Constance J   $5,100\n",
       "                   Moore, John             $5,100\n",
       "                   Zeiler, John            $5,100\n",
       "                   Winn, Arthur            $5,100\n",
       "                   Elbaum, Abigail Black   $5,100\n",
       "Garcia, Kathryn A  Kerr, Zachary           $2,000\n",
       "                   Koeppel, David J        $2,000\n",
       "                   Kalikow, Peter          $2,000\n",
       "                   MacArthur, Andrew       $2,000\n",
       "                   Mosler, Wendy           $2,000\n",
       "McGuire, Raymond J Colacino, Michael       $8,433\n",
       "                   Goldberg, Jeffrey       $5,100\n",
       "                   Trulson, Derek          $5,100\n",
       "                   DeWoody, Beth           $5,100\n",
       "                   Elbaum, Abigail         $5,100\n",
       "Morales, Dianne    Rosenthal, Richard        $500\n",
       "                   Neveloff, Jay             $400\n",
       "                   Gonzalez, Teresa          $400\n",
       "                   Fried, Daniel             $350\n",
       "                   Parvizi, Nazli            $300\n",
       "Stringer, Scott M  Klein, John S          $10,100\n",
       "                   Quinlan, Robert         $7,900\n",
       "                   Fisher, Kenneth         $5,100\n",
       "                   Siegel, Stephen B       $5,100\n",
       "                   Fetner, Harold          $5,100\n",
       "Wiley, Maya D      Shubert, William        $2,000\n",
       "                   Khan, Fazeel            $2,000\n",
       "                   Rubin, Alan             $1,750\n",
       "                   Shaw Clouse, Michelle   $1,200\n",
       "                   Johnson, Michael        $1,000\n",
       "Yang, Andrew       Shiah, Patricia         $2,250\n",
       "                   Pollack, Allan          $2,000\n",
       "                   Wei, Nelson             $2,000\n",
       "                   Russo, Greg             $2,000\n",
       "                   Joseph, Panepinto A     $2,000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top Real Estate Donors\n",
    "largest_donors_per_candidate(flagged_donations, limit=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "eight-arbitration",
   "metadata": {},
   "outputs": [],
   "source": [
    "def format_supported_candidates(names):\n",
    "    out = set()\n",
    "    \n",
    "    for n in names:\n",
    "        out.add(HumanName(n).last)\n",
    "    \n",
    "    return \", \".join(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "harmful-engineer",
   "metadata": {},
   "outputs": [],
   "source": [
    "def top_donors_for(df, head=20):\n",
    "    top_donors = df.groupby([\"NAME\"]).agg({\"AMNT\": 'sum', 'RECIPNAME': lambda series: list(series.unique()) }).sort_values(by=\"AMNT\", ascending=False).head(head).reset_index()\n",
    "    top_donors.rename(columns={\"NAME\": \"Donor Name\", \"AMNT\": \"Amount\", \"RECIPNAME\": \"Supported Candidates\" }, inplace=True)\n",
    "    top_donors['Donor Name'] = top_donors['Donor Name'].apply(to_person_name)\n",
    "    top_donors[\"Amount\"] = top_donors[\"Amount\"].apply(lambda x: f\"${humanize.intcomma(round(x))}\" )\n",
    "    top_donors[\"Supported Candidates\"] = top_donors[\"Supported Candidates\"].apply(format_supported_candidates)\n",
    "    return top_donors\n",
    "\n",
    "\n",
    "all_top_donors = top_donors_for(mayor_donations, head=50)\n",
    "top_flagged_donors = top_donors_for(flagged_donations, head=50)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "banned-wrestling",
   "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>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Supported Candidates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Winston Fisher</td>\n",
       "      <td>$14,200</td>\n",
       "      <td>Donovan, Stringer, Yang, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Derek Trulson</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Adams, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Daniel Brodsky</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Stringer, Yang</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>John S Klein</td>\n",
       "      <td>$10,100</td>\n",
       "      <td>Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Diana Boutross</td>\n",
       "      <td>$10,000</td>\n",
       "      <td>Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kenneth Fisher</td>\n",
       "      <td>$9,100</td>\n",
       "      <td>Yang, Stringer, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Michael Colacino</td>\n",
       "      <td>$8,433</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Robert Quinlan</td>\n",
       "      <td>$7,900</td>\n",
       "      <td>Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>John Wilson</td>\n",
       "      <td>$7,610</td>\n",
       "      <td>Donovan, Yang, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Andrew Brooks</td>\n",
       "      <td>$7,100</td>\n",
       "      <td>McGuire, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Steven Williams</td>\n",
       "      <td>$7,100</td>\n",
       "      <td>McGuire, Yang</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Robert Verrone</td>\n",
       "      <td>$7,100</td>\n",
       "      <td>Yang, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Peter Kalikow</td>\n",
       "      <td>$7,100</td>\n",
       "      <td>McGuire, Garcia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Richard Ruben</td>\n",
       "      <td>$7,100</td>\n",
       "      <td>McGuire, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sanford Sirulnick</td>\n",
       "      <td>$7,000</td>\n",
       "      <td>McGuire, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Patricia Farman-Farmaian</td>\n",
       "      <td>$6,100</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>David Ledy</td>\n",
       "      <td>$6,100</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Lewis Barbanel</td>\n",
       "      <td>$5,625</td>\n",
       "      <td>Stringer, Garcia, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Nicholas Silvers</td>\n",
       "      <td>$5,500</td>\n",
       "      <td>Donovan, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Michael Klein</td>\n",
       "      <td>$5,350</td>\n",
       "      <td>McGuire, Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Jeffrey Goldberg</td>\n",
       "      <td>$5,322</td>\n",
       "      <td>Wiley, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Eric Feuerstein</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>andrea olshan</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Scott Maslin</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>JEFFREY KATZ</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Jeffrey Wilks</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Aaron Bahar</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Pamela McKoin</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Darcy Stacom</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Samy Mahfar</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Harold Fetner</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Anthony Malkin</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Beth DeWoody</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Philip Waterman III</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Larry Silverstein</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>John Zeiler</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Joshua Bernstein</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Abigail Elbaum</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Mark Greenberg</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Nathan Berman</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Stephen B Siegel</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Chris Sheller</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Alexis Demirjian</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>John Moore</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Alex Chu</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Constance J Milstein</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Scott Resnick</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>benjamin winter</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Robert Reffkin</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Young Woo</td>\n",
       "      <td>$5,100</td>\n",
       "      <td>Stringer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Donor Name   Amount            Supported Candidates\n",
       "0             Winston Fisher  $14,200  Donovan, Stringer, Yang, Adams\n",
       "1              Derek Trulson  $12,200         Donovan, Adams, McGuire\n",
       "2             Daniel Brodsky  $12,200         Donovan, Stringer, Yang\n",
       "3               John S Klein  $10,100                        Stringer\n",
       "4             Diana Boutross  $10,000                           Adams\n",
       "5             Kenneth Fisher   $9,100           Yang, Stringer, Adams\n",
       "6           Michael Colacino   $8,433                         McGuire\n",
       "7             Robert Quinlan   $7,900                        Stringer\n",
       "8                John Wilson   $7,610          Donovan, Yang, McGuire\n",
       "9              Andrew Brooks   $7,100                  McGuire, Adams\n",
       "10           Steven Williams   $7,100                   McGuire, Yang\n",
       "11            Robert Verrone   $7,100                     Yang, Adams\n",
       "12             Peter Kalikow   $7,100                 McGuire, Garcia\n",
       "13             Richard Ruben   $7,100                  McGuire, Adams\n",
       "14         Sanford Sirulnick   $7,000                  McGuire, Adams\n",
       "15  Patricia Farman-Farmaian   $6,100                Donovan, McGuire\n",
       "16                David Ledy   $6,100                Donovan, McGuire\n",
       "17            Lewis Barbanel   $5,625         Stringer, Garcia, Adams\n",
       "18          Nicholas Silvers   $5,500                  Donovan, Adams\n",
       "19             Michael Klein   $5,350               McGuire, Stringer\n",
       "20          Jeffrey Goldberg   $5,322                  Wiley, McGuire\n",
       "21           Eric Feuerstein   $5,100                         McGuire\n",
       "22             andrea olshan   $5,100                         Donovan\n",
       "23              Scott Maslin   $5,100                         McGuire\n",
       "24              JEFFREY KATZ   $5,100                         Donovan\n",
       "25             Jeffrey Wilks   $5,100                         McGuire\n",
       "26               Aaron Bahar   $5,100                         Donovan\n",
       "27             Pamela McKoin   $5,100                         McGuire\n",
       "28              Darcy Stacom   $5,100                         Donovan\n",
       "29               Samy Mahfar   $5,100                         McGuire\n",
       "30             Harold Fetner   $5,100                        Stringer\n",
       "31            Anthony Malkin   $5,100                         McGuire\n",
       "32              Beth DeWoody   $5,100                         McGuire\n",
       "33       Philip Waterman III   $5,100                         McGuire\n",
       "34         Larry Silverstein   $5,100                         Donovan\n",
       "35               John Zeiler   $5,100                         Donovan\n",
       "36          Joshua Bernstein   $5,100                         Donovan\n",
       "37            Abigail Elbaum   $5,100                         McGuire\n",
       "38            Mark Greenberg   $5,100                         Donovan\n",
       "39             Nathan Berman   $5,100                           Adams\n",
       "40          Stephen B Siegel   $5,100                        Stringer\n",
       "41             Chris Sheller   $5,100                         Donovan\n",
       "42          Alexis Demirjian   $5,100                           Adams\n",
       "43                John Moore   $5,100                         Donovan\n",
       "44                  Alex Chu   $5,100                        Stringer\n",
       "45      Constance J Milstein   $5,100                         Donovan\n",
       "46             Scott Resnick   $5,100                         McGuire\n",
       "47           benjamin winter   $5,100                         McGuire\n",
       "48            Robert Reffkin   $5,100                         McGuire\n",
       "49                 Young Woo   $5,100                        Stringer"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_flagged_donors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "local-campbell",
   "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>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Supported Candidates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Raymond J McGuire</td>\n",
       "      <td>$1,000,000</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shaun Donovan</td>\n",
       "      <td>$19,100</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anne Williams-Isom</td>\n",
       "      <td>$17,300</td>\n",
       "      <td>Wiley, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ruth Blumenstein</td>\n",
       "      <td>$15,300</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Allison Lutnick</td>\n",
       "      <td>$15,300</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>John Petry</td>\n",
       "      <td>$14,200</td>\n",
       "      <td>McGuire, Yang, Garcia, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Winston Fisher</td>\n",
       "      <td>$14,200</td>\n",
       "      <td>Donovan, Stringer, Yang, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>James Tisch</td>\n",
       "      <td>$14,200</td>\n",
       "      <td>McGuire, Garcia, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Steven Rattner</td>\n",
       "      <td>$14,200</td>\n",
       "      <td>Donovan, Stringer, Adams, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Judith Rubin</td>\n",
       "      <td>$13,050</td>\n",
       "      <td>Donovan, Yang, McGuire, Morales, Stringer, Garcia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Daniel Lowy</td>\n",
       "      <td>$12,635</td>\n",
       "      <td>Donovan, Yang, Adams, McGuire, Wiley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Josh Silverman</td>\n",
       "      <td>$12,600</td>\n",
       "      <td>Donovan, Stringer, Adams, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>James Dolan</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Adams, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Kevin Ryan</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Yang, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Stephanie Coleman</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Yang, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Ricky Sandler</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Yang, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Derek Trulson</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Adams, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Daniel Brodsky</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>Donovan, Stringer, Yang</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Robert Verrone</td>\n",
       "      <td>$12,200</td>\n",
       "      <td>McGuire, Yang, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Sara Goodman</td>\n",
       "      <td>$12,150</td>\n",
       "      <td>Donovan, Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Danny Bensusan</td>\n",
       "      <td>$12,100</td>\n",
       "      <td>Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Michael Kempner</td>\n",
       "      <td>$12,100</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Robert Sharp</td>\n",
       "      <td>$12,000</td>\n",
       "      <td>McGuire, Stringer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Michael Lynton</td>\n",
       "      <td>$12,000</td>\n",
       "      <td>Donovan, Stringer, Yang, Wiley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>David Rockefeller</td>\n",
       "      <td>$11,450</td>\n",
       "      <td>Donovan, Wiley, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Jeanne Greenber Rohatyn</td>\n",
       "      <td>$11,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Chris Hughes</td>\n",
       "      <td>$11,100</td>\n",
       "      <td>Donovan, Stringer, Garcia, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Katherine Bradley</td>\n",
       "      <td>$11,100</td>\n",
       "      <td>McGuire, Yang, Garcia, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Frederick Wilson</td>\n",
       "      <td>$11,100</td>\n",
       "      <td>Donovan, Stringer, Yang, Garcia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Andrew Albstein</td>\n",
       "      <td>$10,600</td>\n",
       "      <td>McGuire, Garcia, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Arthur Zeckendorf</td>\n",
       "      <td>$10,500</td>\n",
       "      <td>Yang, Stringer, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Mark Gerson</td>\n",
       "      <td>$10,450</td>\n",
       "      <td>McGuire, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Mary Ford</td>\n",
       "      <td>$10,450</td>\n",
       "      <td>McGuire, Morales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Fabian Redhead</td>\n",
       "      <td>$10,400</td>\n",
       "      <td>Stringer, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Robert Rubin</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Tony Coles</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Brian Cooper</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire, Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Stephen Briganti</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Kenneth Chenault</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Lisa Wolfe</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Eliot Nolen</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Peter Georgescu</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Shai Waisman</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Adams</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>John J Mack</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Marcus Adjmi</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Peter Atkins</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Eli Zabar</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Devon Fredericks</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Steve Lipin</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>Donovan, McGuire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Carrie Abramson</td>\n",
       "      <td>$10,200</td>\n",
       "      <td>McGuire</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Donor Name      Amount  \\\n",
       "0         Raymond J McGuire  $1,000,000   \n",
       "1             Shaun Donovan     $19,100   \n",
       "2        Anne Williams-Isom     $17,300   \n",
       "3          Ruth Blumenstein     $15,300   \n",
       "4           Allison Lutnick     $15,300   \n",
       "5                John Petry     $14,200   \n",
       "6            Winston Fisher     $14,200   \n",
       "7               James Tisch     $14,200   \n",
       "8            Steven Rattner     $14,200   \n",
       "9              Judith Rubin     $13,050   \n",
       "10              Daniel Lowy     $12,635   \n",
       "11           Josh Silverman     $12,600   \n",
       "12              James Dolan     $12,200   \n",
       "13               Kevin Ryan     $12,200   \n",
       "14        Stephanie Coleman     $12,200   \n",
       "15            Ricky Sandler     $12,200   \n",
       "16            Derek Trulson     $12,200   \n",
       "17           Daniel Brodsky     $12,200   \n",
       "18           Robert Verrone     $12,200   \n",
       "19             Sara Goodman     $12,150   \n",
       "20           Danny Bensusan     $12,100   \n",
       "21          Michael Kempner     $12,100   \n",
       "22             Robert Sharp     $12,000   \n",
       "23           Michael Lynton     $12,000   \n",
       "24        David Rockefeller     $11,450   \n",
       "25  Jeanne Greenber Rohatyn     $11,200   \n",
       "26             Chris Hughes     $11,100   \n",
       "27        Katherine Bradley     $11,100   \n",
       "28         Frederick Wilson     $11,100   \n",
       "29          Andrew Albstein     $10,600   \n",
       "30        Arthur Zeckendorf     $10,500   \n",
       "31              Mark Gerson     $10,450   \n",
       "32                Mary Ford     $10,450   \n",
       "33           Fabian Redhead     $10,400   \n",
       "34             Robert Rubin     $10,200   \n",
       "35               Tony Coles     $10,200   \n",
       "36             Brian Cooper     $10,200   \n",
       "37         Stephen Briganti     $10,200   \n",
       "38         Kenneth Chenault     $10,200   \n",
       "39               Lisa Wolfe     $10,200   \n",
       "40              Eliot Nolen     $10,200   \n",
       "41          Peter Georgescu     $10,200   \n",
       "42             Shai Waisman     $10,200   \n",
       "43              John J Mack     $10,200   \n",
       "44             Marcus Adjmi     $10,200   \n",
       "45             Peter Atkins     $10,200   \n",
       "46                Eli Zabar     $10,200   \n",
       "47         Devon Fredericks     $10,200   \n",
       "48              Steve Lipin     $10,200   \n",
       "49          Carrie Abramson     $10,200   \n",
       "\n",
       "                                 Supported Candidates  \n",
       "0                                             McGuire  \n",
       "1                                             Donovan  \n",
       "2                                      Wiley, McGuire  \n",
       "3                                             Donovan  \n",
       "4                                    Donovan, McGuire  \n",
       "5                        McGuire, Yang, Garcia, Adams  \n",
       "6                      Donovan, Stringer, Yang, Adams  \n",
       "7                              McGuire, Garcia, Adams  \n",
       "8                   Donovan, Stringer, Adams, McGuire  \n",
       "9   Donovan, Yang, McGuire, Morales, Stringer, Garcia  \n",
       "10               Donovan, Yang, Adams, McGuire, Wiley  \n",
       "11                  Donovan, Stringer, Adams, McGuire  \n",
       "12                            Donovan, Adams, McGuire  \n",
       "13                             Donovan, Yang, McGuire  \n",
       "14                             Donovan, Yang, McGuire  \n",
       "15                             Donovan, Yang, McGuire  \n",
       "16                            Donovan, Adams, McGuire  \n",
       "17                            Donovan, Stringer, Yang  \n",
       "18                               McGuire, Yang, Adams  \n",
       "19                                  Donovan, Stringer  \n",
       "20                                              Adams  \n",
       "21                                   Donovan, McGuire  \n",
       "22                                  McGuire, Stringer  \n",
       "23                     Donovan, Stringer, Yang, Wiley  \n",
       "24                            Donovan, Wiley, McGuire  \n",
       "25                                            McGuire  \n",
       "26                   Donovan, Stringer, Garcia, Adams  \n",
       "27                       McGuire, Yang, Garcia, Adams  \n",
       "28                    Donovan, Stringer, Yang, Garcia  \n",
       "29                             McGuire, Garcia, Adams  \n",
       "30                              Yang, Stringer, Adams  \n",
       "31                                     McGuire, Adams  \n",
       "32                                   McGuire, Morales  \n",
       "33                                    Stringer, Adams  \n",
       "34                                            McGuire  \n",
       "35                                   Donovan, McGuire  \n",
       "36                                     McGuire, Adams  \n",
       "37                                            Donovan  \n",
       "38                                            McGuire  \n",
       "39                                            McGuire  \n",
       "40                                            Donovan  \n",
       "41                                   Donovan, McGuire  \n",
       "42                                              Adams  \n",
       "43                                   Donovan, McGuire  \n",
       "44                                            McGuire  \n",
       "45                                            McGuire  \n",
       "46                                            Donovan  \n",
       "47                                            Donovan  \n",
       "48                                   Donovan, McGuire  \n",
       "49                                            McGuire  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_top_donors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "harmful-bottom",
   "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",
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       "\n",
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       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EMPNAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Not Employed</th>\n",
       "      <td>4957472.69</td>\n",
       "      <td>39042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Self Employed</th>\n",
       "      <td>2982305.87</td>\n",
       "      <td>10165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Retired</th>\n",
       "      <td>643109.50</td>\n",
       "      <td>1821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paul Weiss</th>\n",
       "      <td>206473.42</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Citigroup</th>\n",
       "      <td>159711.71</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Homemaker</th>\n",
       "      <td>118064.00</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skadden Arps</th>\n",
       "      <td>101175.00</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Self Employee</th>\n",
       "      <td>85935.00</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wachtell, Lipton, Rosen &amp; Katz</th>\n",
       "      <td>73825.00</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenberg Traurig</th>\n",
       "      <td>69275.00</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <td>68661.46</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Google</th>\n",
       "      <td>60280.63</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Columbia University</th>\n",
       "      <td>54285.88</td>\n",
       "      <td>421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City of New York</th>\n",
       "      <td>50477.85</td>\n",
       "      <td>679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pershing Square Capital Manage</th>\n",
       "      <td>43200.00</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYU</th>\n",
       "      <td>42834.59</td>\n",
       "      <td>361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sullivan &amp; Cromwell LLP</th>\n",
       "      <td>38430.00</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monroe College</th>\n",
       "      <td>38430.00</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kirkland &amp; Ellis LLP</th>\n",
       "      <td>37184.04</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazard</th>\n",
       "      <td>37000.00</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Centerview Partners</th>\n",
       "      <td>34600.00</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skadden Arps Slate Meagher &amp; F</th>\n",
       "      <td>33900.00</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cravath, Swaine &amp; Moore LLP</th>\n",
       "      <td>31460.00</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYPD</th>\n",
       "      <td>31330.81</td>\n",
       "      <td>277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Compass</th>\n",
       "      <td>30121.21</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kirkland &amp; Ellis</th>\n",
       "      <td>29810.00</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Student</th>\n",
       "      <td>28760.10</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC DOE</th>\n",
       "      <td>26882.28</td>\n",
       "      <td>541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fisher Brothers</th>\n",
       "      <td>26455.00</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CBRE</th>\n",
       "      <td>26250.00</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morgan Stanley</th>\n",
       "      <td>25115.21</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bank of America</th>\n",
       "      <td>24682.42</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PJT Partners</th>\n",
       "      <td>24600.00</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViacomCBS</th>\n",
       "      <td>24516.21</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mediaocean</th>\n",
       "      <td>24161.00</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Long Pond Capital</th>\n",
       "      <td>23900.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JLL</th>\n",
       "      <td>23065.00</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willkie Farr &amp; Gallagher LLP</th>\n",
       "      <td>22211.00</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Standard Industries</th>\n",
       "      <td>21800.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleary Gottlieb</th>\n",
       "      <td>21600.00</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleary Gottlieb Steen &amp; Hamilt</th>\n",
       "      <td>21550.00</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenberg Traurig, LLP</th>\n",
       "      <td>20700.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomberg</th>\n",
       "      <td>20290.21</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fordham University</th>\n",
       "      <td>20153.42</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DSNY</th>\n",
       "      <td>19384.07</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Joele Frank</th>\n",
       "      <td>19001.75</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUNY</th>\n",
       "      <td>18639.84</td>\n",
       "      <td>307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC</th>\n",
       "      <td>18259.81</td>\n",
       "      <td>263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shearman &amp; Sterling LLP</th>\n",
       "      <td>18167.70</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Simpson Thacher &amp; Bartlett LLP</th>\n",
       "      <td>18005.00</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Peloton</th>\n",
       "      <td>17786.18</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York University</th>\n",
       "      <td>17746.31</td>\n",
       "      <td>241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Apple</th>\n",
       "      <td>17413.05</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>King &amp; Spalding LLP</th>\n",
       "      <td>17375.00</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sullivan &amp; Cromwell</th>\n",
       "      <td>17320.00</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eminence Capital</th>\n",
       "      <td>17300.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mastercard</th>\n",
       "      <td>17120.00</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>King &amp; Spalding</th>\n",
       "      <td>17000.00</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Third Point LLC</th>\n",
       "      <td>16600.00</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Douglas Elliman</th>\n",
       "      <td>16575.00</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tashkent Supermarket</th>\n",
       "      <td>16000.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ehrenkranz Partners</th>\n",
       "      <td>15875.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fairstead</th>\n",
       "      <td>15800.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estee Lauder Companies</th>\n",
       "      <td>15520.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corcoran</th>\n",
       "      <td>15440.21</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Facebook</th>\n",
       "      <td>15402.25</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allen &amp; Company LLC</th>\n",
       "      <td>15400.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenberg Traurig LLP</th>\n",
       "      <td>15368.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TG Holdings, LLC</th>\n",
       "      <td>15300.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Loews Corp</th>\n",
       "      <td>15200.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rubenstein Communications</th>\n",
       "      <td>15150.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sessa Capital</th>\n",
       "      <td>14950.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willett Advisors LLC</th>\n",
       "      <td>14200.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The New School</th>\n",
       "      <td>13978.51</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harvard Business School</th>\n",
       "      <td>13950.00</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC Department of Education</th>\n",
       "      <td>13854.53</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newmark</th>\n",
       "      <td>13850.00</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldman Sachs</th>\n",
       "      <td>13570.42</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYCDOE</th>\n",
       "      <td>13480.76</td>\n",
       "      <td>294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spencer Stuart</th>\n",
       "      <td>13315.00</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wachtell, Lipton, Rosen &amp; Kat</th>\n",
       "      <td>13100.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Union Square Ventures</th>\n",
       "      <td>13100.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gibson Dunn</th>\n",
       "      <td>12850.00</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cushman and wakefield</th>\n",
       "      <td>12850.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Centerview Partners LLC</th>\n",
       "      <td>12700.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSG</th>\n",
       "      <td>12700.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KSK Construction Group LLC</th>\n",
       "      <td>12700.00</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EMU Health</th>\n",
       "      <td>12635.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A&amp;E Real Estate</th>\n",
       "      <td>12600.00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harvard University</th>\n",
       "      <td>12500.00</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netflix</th>\n",
       "      <td>12411.21</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Brodsky Organization</th>\n",
       "      <td>12350.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AlleyCorp</th>\n",
       "      <td>12200.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estreich &amp; Company</th>\n",
       "      <td>12200.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brown Harris Stevens</th>\n",
       "      <td>12150.44</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bensusan Restaurant Corp</th>\n",
       "      <td>12100.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gravity Construction</th>\n",
       "      <td>12000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sacks &amp; Sacks LLP</th>\n",
       "      <td>12000.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WSB Partners</th>\n",
       "      <td>12000.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lowenstein Sandler LLP</th>\n",
       "      <td>11950.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      AMNT       \n",
       "                                       sum  count\n",
       "EMPNAME                                          \n",
       "Not Employed                    4957472.69  39042\n",
       "Self Employed                   2982305.87  10165\n",
       "Retired                          643109.50   1821\n",
       "Paul Weiss                       206473.42    129\n",
       "Citigroup                        159711.71    232\n",
       "Homemaker                        118064.00    197\n",
       "Skadden Arps                     101175.00    102\n",
       "Self Employee                     85935.00    116\n",
       "Wachtell, Lipton, Rosen & Katz    73825.00     57\n",
       "Greenberg Traurig                 69275.00     35\n",
       "None                              68661.46    114\n",
       "Google                            60280.63    472\n",
       "Columbia University               54285.88    421\n",
       "City of New York                  50477.85    679\n",
       "Pershing Square Capital Manage    43200.00     11\n",
       "NYU                               42834.59    361\n",
       "Sullivan & Cromwell LLP           38430.00     37\n",
       "Monroe College                    38430.00     37\n",
       "Kirkland & Ellis LLP              37184.04     28\n",
       "Lazard                            37000.00     10\n",
       "Centerview Partners               34600.00      8\n",
       "Skadden Arps Slate Meagher & F    33900.00     18\n",
       "Cravath, Swaine & Moore LLP       31460.00     20\n",
       "NYPD                              31330.81    277\n",
       "Compass                           30121.21     78\n",
       "Kirkland & Ellis                  29810.00     20\n",
       "Student                           28760.10     92\n",
       "NYC DOE                           26882.28    541\n",
       "Fisher Brothers                   26455.00     11\n",
       "CBRE                              26250.00     29\n",
       "Morgan Stanley                    25115.21     63\n",
       "Bank of America                   24682.42     94\n",
       "PJT Partners                      24600.00     10\n",
       "ViacomCBS                         24516.21     76\n",
       "Mediaocean                        24161.00     46\n",
       "Long Pond Capital                 23900.00      6\n",
       "JLL                               23065.00     25\n",
       "Willkie Farr & Gallagher LLP      22211.00     29\n",
       "Standard Industries               21800.00      7\n",
       "Cleary Gottlieb                   21600.00     15\n",
       "Cleary Gottlieb Steen & Hamilt    21550.00     14\n",
       "Greenberg Traurig, LLP            20700.00      5\n",
       "Bloomberg                         20290.21     63\n",
       "Fordham University                20153.42     66\n",
       "DSNY                              19384.07    209\n",
       "Joele Frank                       19001.75     13\n",
       "CUNY                              18639.84    307\n",
       "NYC                               18259.81    263\n",
       "Shearman & Sterling LLP           18167.70     19\n",
       "Simpson Thacher & Bartlett LLP    18005.00     18\n",
       "Peloton                           17786.18     13\n",
       "New York University               17746.31    241\n",
       "Apple                             17413.05     78\n",
       "King & Spalding LLP               17375.00     13\n",
       "Sullivan & Cromwell               17320.00     21\n",
       "Eminence Capital                  17300.00      4\n",
       "Mastercard                        17120.00     37\n",
       "King & Spalding                   17000.00     13\n",
       "Third Point LLC                   16600.00     13\n",
       "Douglas Elliman                   16575.00     35\n",
       "Tashkent Supermarket              16000.00      7\n",
       "Ehrenkranz Partners               15875.00      7\n",
       "Fairstead                         15800.00      4\n",
       "Estee Lauder Companies            15520.00      7\n",
       "Corcoran                          15440.21     30\n",
       "Facebook                          15402.25    124\n",
       "Allen & Company LLC               15400.00      4\n",
       "Greenberg Traurig LLP             15368.00      6\n",
       "TG Holdings, LLC                  15300.00      3\n",
       "Loews Corp                        15200.00      5\n",
       "Rubenstein Communications         15150.00      3\n",
       "Sessa Capital                     14950.00      7\n",
       "Willett Advisors LLC              14200.00      4\n",
       "The New School                    13978.51    124\n",
       "Harvard Business School           13950.00      8\n",
       "NYC Department of Education       13854.53    199\n",
       "Newmark                           13850.00     17\n",
       "Goldman Sachs                     13570.42     45\n",
       "NYCDOE                            13480.76    294\n",
       "Spencer Stuart                    13315.00      9\n",
       "Wachtell, Lipton, Rosen & Kat     13100.00      7\n",
       "Union Square Ventures             13100.00      5\n",
       "Gibson Dunn                       12850.00     17\n",
       "cushman and wakefield             12850.00      5\n",
       "Centerview Partners LLC           12700.00      3\n",
       "MSG                               12700.00      5\n",
       "KSK Construction Group LLC        12700.00     10\n",
       "EMU Health                        12635.00      6\n",
       "A&E Real Estate                   12600.00      4\n",
       "Harvard University                12500.00     31\n",
       "Netflix                           12411.21     22\n",
       "The Brodsky Organization          12350.00      3\n",
       "AlleyCorp                         12200.00      3\n",
       "Estreich & Company                12200.00      3\n",
       "Brown Harris Stevens              12150.44     39\n",
       "Bensusan Restaurant Corp          12100.00      3\n",
       "Gravity Construction              12000.00      3\n",
       "Sacks & Sacks LLP                 12000.00      6\n",
       "WSB Partners                      12000.00      6\n",
       "Lowenstein Sandler LLP            11950.00      6"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top Employers Mayors\n",
    "mayor_donations[[\"EMPNAME\", \"AMNT\"]].groupby([\"EMPNAME\"]).agg(['sum', 'count']).sort_values(by=('AMNT', 'sum'), ascending=False).head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "injured-conducting",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EMPNAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Self Employed</th>\n",
       "      <td>7368034.39</td>\n",
       "      <td>39735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not Employed</th>\n",
       "      <td>7170836.20</td>\n",
       "      <td>59056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Retired</th>\n",
       "      <td>1427245.94</td>\n",
       "      <td>9343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paul Weiss</th>\n",
       "      <td>254804.42</td>\n",
       "      <td>301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Homemaker</th>\n",
       "      <td>241004.30</td>\n",
       "      <td>677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Citigroup</th>\n",
       "      <td>180437.71</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City of New York</th>\n",
       "      <td>154396.44</td>\n",
       "      <td>2104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC DOE</th>\n",
       "      <td>120176.42</td>\n",
       "      <td>1958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skadden Arps</th>\n",
       "      <td>111034.00</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Google</th>\n",
       "      <td>110113.68</td>\n",
       "      <td>981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Columbia University</th>\n",
       "      <td>106625.45</td>\n",
       "      <td>1064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monroe College</th>\n",
       "      <td>105040.00</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <td>92445.38</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wachtell, Lipton, Rosen &amp; Katz</th>\n",
       "      <td>88039.00</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Self Employee</th>\n",
       "      <td>85985.00</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenberg Traurig</th>\n",
       "      <td>81610.00</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYPD</th>\n",
       "      <td>77357.30</td>\n",
       "      <td>877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYU</th>\n",
       "      <td>73842.59</td>\n",
       "      <td>746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC Council</th>\n",
       "      <td>65695.98</td>\n",
       "      <td>779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYCDOE</th>\n",
       "      <td>65563.89</td>\n",
       "      <td>1001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC Department of Education</th>\n",
       "      <td>60814.10</td>\n",
       "      <td>763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fisher Brothers</th>\n",
       "      <td>58455.00</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Student</th>\n",
       "      <td>55025.31</td>\n",
       "      <td>578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sullivan &amp; Cromwell LLP</th>\n",
       "      <td>54050.00</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York City Council</th>\n",
       "      <td>54049.97</td>\n",
       "      <td>633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUNY</th>\n",
       "      <td>53131.13</td>\n",
       "      <td>900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazard</th>\n",
       "      <td>48300.00</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC</th>\n",
       "      <td>46399.81</td>\n",
       "      <td>646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOE</th>\n",
       "      <td>44553.38</td>\n",
       "      <td>791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Compass</th>\n",
       "      <td>44141.21</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morgan Stanley</th>\n",
       "      <td>43635.21</td>\n",
       "      <td>166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pershing Square Capital Manage</th>\n",
       "      <td>43200.00</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CBRE</th>\n",
       "      <td>42975.00</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Standard Industries</th>\n",
       "      <td>41380.00</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kirkland &amp; Ellis LLP</th>\n",
       "      <td>40814.04</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bank of America</th>\n",
       "      <td>39704.63</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Centerview Partners</th>\n",
       "      <td>39125.00</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York University</th>\n",
       "      <td>37358.40</td>\n",
       "      <td>536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skadden Arps Slate Meagher &amp; F</th>\n",
       "      <td>36137.00</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViacomCBS</th>\n",
       "      <td>35409.21</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kirkland &amp; Ellis</th>\n",
       "      <td>33715.00</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cravath, Swaine &amp; Moore LLP</th>\n",
       "      <td>33002.00</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYS Assembly</th>\n",
       "      <td>32656.09</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fordham University</th>\n",
       "      <td>31715.26</td>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Verizon</th>\n",
       "      <td>31025.30</td>\n",
       "      <td>301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Broadway Stages</th>\n",
       "      <td>28850.00</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willkie Farr &amp; Gallagher LLP</th>\n",
       "      <td>28831.00</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomberg</th>\n",
       "      <td>27640.21</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hayes &amp; Simon, PC</th>\n",
       "      <td>27550.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brookdale Hospital</th>\n",
       "      <td>27365.00</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      AMNT       \n",
       "                                       sum  count\n",
       "EMPNAME                                          \n",
       "Self Employed                   7368034.39  39735\n",
       "Not Employed                    7170836.20  59056\n",
       "Retired                         1427245.94   9343\n",
       "Paul Weiss                       254804.42    301\n",
       "Homemaker                        241004.30    677\n",
       "Citigroup                        180437.71    391\n",
       "City of New York                 154396.44   2104\n",
       "NYC DOE                          120176.42   1958\n",
       "Skadden Arps                     111034.00    130\n",
       "Google                           110113.68    981\n",
       "Columbia University              106625.45   1064\n",
       "Monroe College                   105040.00    119\n",
       "None                              92445.38    460\n",
       "Wachtell, Lipton, Rosen & Katz    88039.00     96\n",
       "Self Employee                     85985.00    117\n",
       "Greenberg Traurig                 81610.00    100\n",
       "NYPD                              77357.30    877\n",
       "NYU                               73842.59    746\n",
       "NYC Council                       65695.98    779\n",
       "NYCDOE                            65563.89   1001\n",
       "NYC Department of Education       60814.10    763\n",
       "Fisher Brothers                   58455.00     28\n",
       "Student                           55025.31    578\n",
       "Sullivan & Cromwell LLP           54050.00     85\n",
       "New York City Council             54049.97    633\n",
       "CUNY                              53131.13    900\n",
       "Lazard                            48300.00     21\n",
       "NYC                               46399.81    646\n",
       "DOE                               44553.38    791\n",
       "Compass                           44141.21    161\n",
       "Morgan Stanley                    43635.21    166\n",
       "Pershing Square Capital Manage    43200.00     11\n",
       "CBRE                              42975.00     49\n",
       "Standard Industries               41380.00     25\n",
       "Kirkland & Ellis LLP              40814.04     44\n",
       "Bank of America                   39704.63    233\n",
       "Centerview Partners               39125.00     18\n",
       "New York University               37358.40    536\n",
       "Skadden Arps Slate Meagher & F    36137.00     31\n",
       "ViacomCBS                         35409.21    167\n",
       "Kirkland & Ellis                  33715.00     36\n",
       "Cravath, Swaine & Moore LLP       33002.00     39\n",
       "NYS Assembly                      32656.09    319\n",
       "Fordham University                31715.26    216\n",
       "Verizon                           31025.30    301\n",
       "Broadway Stages                   28850.00     36\n",
       "Willkie Farr & Gallagher LLP      28831.00     43\n",
       "Bloomberg                         27640.21    150\n",
       "Hayes & Simon, PC                 27550.00      5\n",
       "Brookdale Hospital                27365.00    174"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top Employers Overall\n",
    "contributions[[\"EMPNAME\", \"AMNT\"]].groupby([\"EMPNAME\"]).agg(['sum', 'count']).sort_values(by=('AMNT', 'sum'), ascending=False).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "associate-constraint",
   "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>AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$318,276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <td>$299,143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$199,999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <td>$161,316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <td>$121,662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <td>$62,056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <td>$17,146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <td>$4,661</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        AMNT\n",
       "RECIPNAME                   \n",
       "McGuire, Raymond J  $318,276\n",
       "Adams, Eric L       $299,143\n",
       "Donovan, Shaun      $199,999\n",
       "Stringer, Scott M   $161,316\n",
       "Yang, Andrew        $121,662\n",
       "Garcia, Kathryn A    $62,056\n",
       "Wiley, Maya D        $17,146\n",
       "Morales, Dianne       $4,661"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_from_real_estate = flagged_donations[['RECIPNAME', 'AMNT']].groupby('RECIPNAME').sum()\n",
    "sum_from_real_estate = sum_from_real_estate.sort_values(by='AMNT', ascending=False)\n",
    "sum_from_real_estate['AMNT'] = sum_from_real_estate['AMNT'].apply(to_money)\n",
    "\n",
    "sum_from_real_estate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "recreational-sheffield",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_e4eb1_\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >Name</th>        <th class=\"col_heading level0 col1\" >Total</th>        <th class=\"col_heading level0 col2\" >Flag</th>        <th class=\"col_heading level0 col3\" >Real Estate</th>        <th class=\"col_heading level0 col4\" >Lobbyist</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_e4eb1_row0_col0\" class=\"data row0 col0\" >Raymond J McGuire</td>\n",
       "                        <td id=\"T_e4eb1_row0_col1\" class=\"data row0 col1\" >$10,093,818</td>\n",
       "                        <td id=\"T_e4eb1_row0_col2\" class=\"data row0 col2\" >$318,276</td>\n",
       "                        <td id=\"T_e4eb1_row0_col3\" class=\"data row0 col3\" >$285,375</td>\n",
       "                        <td id=\"T_e4eb1_row0_col4\" class=\"data row0 col4\" >$34,200</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row1_col0\" class=\"data row1 col0\" >Eric L Adams</td>\n",
       "                        <td id=\"T_e4eb1_row1_col1\" class=\"data row1 col1\" >$4,739,061</td>\n",
       "                        <td id=\"T_e4eb1_row1_col2\" class=\"data row1 col2\" >$299,143</td>\n",
       "                        <td id=\"T_e4eb1_row1_col3\" class=\"data row1 col3\" >$289,243</td>\n",
       "                        <td id=\"T_e4eb1_row1_col4\" class=\"data row1 col4\" >$16,700</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row2_col0\" class=\"data row2 col0\" >Andrew Yang</td>\n",
       "                        <td id=\"T_e4eb1_row2_col1\" class=\"data row2 col1\" >$3,600,747</td>\n",
       "                        <td id=\"T_e4eb1_row2_col2\" class=\"data row2 col2\" >$121,662</td>\n",
       "                        <td id=\"T_e4eb1_row2_col3\" class=\"data row2 col3\" >$112,529</td>\n",
       "                        <td id=\"T_e4eb1_row2_col4\" class=\"data row2 col4\" >$8,773</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row3_col0\" class=\"data row3 col0\" >Shaun Donovan</td>\n",
       "                        <td id=\"T_e4eb1_row3_col1\" class=\"data row3 col1\" >$2,858,059</td>\n",
       "                        <td id=\"T_e4eb1_row3_col2\" class=\"data row3 col2\" >$199,999</td>\n",
       "                        <td id=\"T_e4eb1_row3_col3\" class=\"data row3 col3\" >$189,402</td>\n",
       "                        <td id=\"T_e4eb1_row3_col4\" class=\"data row3 col4\" >$11,872</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row4_col0\" class=\"data row4 col0\" >Scott M Stringer</td>\n",
       "                        <td id=\"T_e4eb1_row4_col1\" class=\"data row4 col1\" >$2,839,137</td>\n",
       "                        <td id=\"T_e4eb1_row4_col2\" class=\"data row4 col2\" >$161,316</td>\n",
       "                        <td id=\"T_e4eb1_row4_col3\" class=\"data row4 col3\" >$151,556</td>\n",
       "                        <td id=\"T_e4eb1_row4_col4\" class=\"data row4 col4\" >$14,935</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row5_col0\" class=\"data row5 col0\" >Maya D Wiley</td>\n",
       "                        <td id=\"T_e4eb1_row5_col1\" class=\"data row5 col1\" >$1,598,117</td>\n",
       "                        <td id=\"T_e4eb1_row5_col2\" class=\"data row5 col2\" >$17,146</td>\n",
       "                        <td id=\"T_e4eb1_row5_col3\" class=\"data row5 col3\" >$13,477</td>\n",
       "                        <td id=\"T_e4eb1_row5_col4\" class=\"data row5 col4\" >$4,669</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row6_col0\" class=\"data row6 col0\" >Kathryn A Garcia</td>\n",
       "                        <td id=\"T_e4eb1_row6_col1\" class=\"data row6 col1\" >$1,242,811</td>\n",
       "                        <td id=\"T_e4eb1_row6_col2\" class=\"data row6 col2\" >$62,056</td>\n",
       "                        <td id=\"T_e4eb1_row6_col3\" class=\"data row6 col3\" >$56,531</td>\n",
       "                        <td id=\"T_e4eb1_row6_col4\" class=\"data row6 col4\" >$6,825</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_e4eb1_row7_col0\" class=\"data row7 col0\" >Dianne Morales</td>\n",
       "                        <td id=\"T_e4eb1_row7_col1\" class=\"data row7 col1\" >$860,549</td>\n",
       "                        <td id=\"T_e4eb1_row7_col2\" class=\"data row7 col2\" >$4,661</td>\n",
       "                        <td id=\"T_e4eb1_row7_col3\" class=\"data row7 col3\" >$3,197</td>\n",
       "                        <td id=\"T_e4eb1_row7_col4\" class=\"data row7 col4\" >$1,464</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fa39e8024f0>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_amount_recieved = mayor_donations[[\"RECIPNAME\", \"AMNT\"]].groupby(\"RECIPNAME\").sum().sort_values(by='RECIPNAME')\n",
    "total_amount_recieved[\"Real Estate\"] = mayor_donations[mayor_donations['is_realestate']][['RECIPNAME', 'AMNT']].groupby('RECIPNAME').sum().sort_values(by='RECIPNAME')\n",
    "total_amount_recieved[\"Lobbyist\"] = mayor_donations[mayor_donations['is_lobbyist']][['RECIPNAME', 'AMNT']].groupby('RECIPNAME').sum().sort_values(by='RECIPNAME')\n",
    "total_amount_recieved[\"Flag\"] = mayor_donations[mayor_donations['flag']][['RECIPNAME', 'AMNT']].groupby('RECIPNAME').sum().sort_values(by='RECIPNAME')\n",
    "\n",
    "# total_amount_recieved[\"Corporation\"] = mayor_donations[mayor_donations['is_corporation']][['RECIPNAME', 'AMNT']].groupby('RECIPNAME').sum().sort_values(by='RECIPNAME')\n",
    "\n",
    "total_amount_recieved = total_amount_recieved.reset_index().sort_values(by='AMNT', ascending=False)\n",
    "\n",
    "total_amount_recieved['Name'] = total_amount_recieved['RECIPNAME'].apply(to_person_name)\n",
    "total_amount_recieved[\"Total\"]  = total_amount_recieved[\"AMNT\"].apply(to_money)\n",
    "total_amount_recieved[\"Flag\"] = total_amount_recieved[\"Flag\"].apply(to_money)\n",
    "total_amount_recieved[\"Real Estate\"] = total_amount_recieved[\"Real Estate\"].apply(to_money)\n",
    "total_amount_recieved[\"Lobbyist\"] = total_amount_recieved[\"Lobbyist\"].apply(to_money)\n",
    "\n",
    "\n",
    "total_amount_recieved[['Name', 'Total', 'Flag', 'Real Estate', 'Lobbyist']].style.hide_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "aging-silence",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'$1,184,259'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Total of all donations to all major candidates\n",
    "to_money(flagged_donations['AMNT'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "vocational-jewel",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.2549817145556075"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flagged_donations['AMNT'].sum() / mayor_donations['AMNT'].sum() * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "written-excitement",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save CSV of top 100 employers\n",
    "top_employers = mayor_donations[[\"EMPNAME\", \"AMNT\"]].copy()\n",
    "top_employers['EMPNAME'] = top_employers['EMPNAME'].apply(employer_format)\n",
    "\n",
    "top_employers = top_employers.groupby('EMPNAME').sum().sort_values('AMNT', ascending=False).reset_index()[['EMPNAME', 'AMNT']].sort_values(by='AMNT', ascending=False)\n",
    "top_employers['Employer Name'] = top_employers['EMPNAME']\n",
    "top_employers['Amount'] = top_employers['AMNT'].apply(to_money)\n",
    "\n",
    "top_employers[['Employer Name', 'Amount']].head(100).to_csv('top_100_employers.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "beneficial-trustee",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>EMPNAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>1640676.68</td>\n",
       "      <td>2288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>1002820.93</td>\n",
       "      <td>11955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>946095.00</td>\n",
       "      <td>1040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>861399.15</td>\n",
       "      <td>1824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>846381.00</td>\n",
       "      <td>1451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>486720.92</td>\n",
       "      <td>4354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>449755.00</td>\n",
       "      <td>10824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>334462.84</td>\n",
       "      <td>580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Retired</th>\n",
       "      <td>332368.12</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>271229.44</td>\n",
       "      <td>2331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>248975.50</td>\n",
       "      <td>1186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>221548.79</td>\n",
       "      <td>1754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>208498.57</td>\n",
       "      <td>5166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Paul Weiss</th>\n",
       "      <td>198390.42</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>190220.25</td>\n",
       "      <td>2292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Citigroup</th>\n",
       "      <td>151267.71</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <th>Retired</th>\n",
       "      <td>135593.00</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>126161.75</td>\n",
       "      <td>816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <th>Retired</th>\n",
       "      <td>102503.88</td>\n",
       "      <td>677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Skadden Arps</th>\n",
       "      <td>96935.00</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <th>Self Employee</th>\n",
       "      <td>85935.00</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <th>Self Employed</th>\n",
       "      <td>68460.74</td>\n",
       "      <td>1046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <th>Homemaker</th>\n",
       "      <td>67195.00</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Greenberg Traurig</th>\n",
       "      <td>64550.00</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <td>64133.46</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wachtell, Lipton, Rosen &amp; Katz</th>\n",
       "      <td>58600.00</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <th>Homemaker</th>\n",
       "      <td>45639.00</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <th>Retired</th>\n",
       "      <td>44687.63</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Pershing Square Capital Manage</th>\n",
       "      <td>39200.00</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lazard</th>\n",
       "      <td>36600.00</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <th>Not Employed</th>\n",
       "      <td>36372.00</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Sullivan &amp; Cromwell LLP</th>\n",
       "      <td>35050.00</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skadden Arps Slate Meagher &amp; F</th>\n",
       "      <td>33800.00</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <th>Monroe College</th>\n",
       "      <td>32400.00</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Cravath, Swaine &amp; Moore LLP</th>\n",
       "      <td>31100.00</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Centerview Partners</th>\n",
       "      <td>30600.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kirkland &amp; Ellis LLP</th>\n",
       "      <td>28925.00</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <th>NYPD</th>\n",
       "      <td>28775.00</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Kirkland &amp; Ellis</th>\n",
       "      <td>26600.00</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PJT Partners</th>\n",
       "      <td>24600.00</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <th>Mediaocean</th>\n",
       "      <td>24161.00</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <th>Long Pond Capital</th>\n",
       "      <td>23900.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <th>Retired</th>\n",
       "      <td>22250.00</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <th>City of New York</th>\n",
       "      <td>21665.65</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Cleary Gottlieb Steen &amp; Hamilt</th>\n",
       "      <td>21450.00</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Compass</th>\n",
       "      <td>21150.21</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenberg Traurig, LLP</th>\n",
       "      <td>20700.00</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Standard Industries</th>\n",
       "      <td>19800.00</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willkie Farr &amp; Gallagher LLP</th>\n",
       "      <td>19400.00</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <th>Google</th>\n",
       "      <td>19196.84</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                         AMNT       \n",
       "                                                          sum  count\n",
       "RECIPNAME          EMPNAME                                          \n",
       "McGuire, Raymond J Not Employed                    1640676.68   2288\n",
       "Yang, Andrew       Not Employed                    1002820.93  11955\n",
       "McGuire, Raymond J Self Employed                    946095.00   1040\n",
       "Donovan, Shaun     Not Employed                     861399.15   1824\n",
       "Adams, Eric L      Self Employed                    846381.00   1451\n",
       "Stringer, Scott M  Not Employed                     486720.92   4354\n",
       "Wiley, Maya D      Not Employed                     449755.00  10824\n",
       "Donovan, Shaun     Self Employed                    334462.84    580\n",
       "McGuire, Raymond J Retired                          332368.12    292\n",
       "Garcia, Kathryn A  Not Employed                     271229.44   2331\n",
       "Stringer, Scott M  Self Employed                    248975.50   1186\n",
       "Yang, Andrew       Self Employed                    221548.79   1754\n",
       "Morales, Dianne    Not Employed                     208498.57   5166\n",
       "McGuire, Raymond J Paul Weiss                       198390.42     99\n",
       "Wiley, Maya D      Self Employed                    190220.25   2292\n",
       "McGuire, Raymond J Citigroup                        151267.71    167\n",
       "Adams, Eric L      Retired                          135593.00    507\n",
       "Garcia, Kathryn A  Self Employed                    126161.75    816\n",
       "Stringer, Scott M  Retired                          102503.88    677\n",
       "McGuire, Raymond J Skadden Arps                      96935.00     85\n",
       "Adams, Eric L      Self Employee                     85935.00    116\n",
       "Morales, Dianne    Self Employed                     68460.74   1046\n",
       "Stringer, Scott M  Homemaker                         67195.00    108\n",
       "McGuire, Raymond J Greenberg Traurig                 64550.00     18\n",
       "                   None                              64133.46     49\n",
       "                   Wachtell, Lipton, Rosen & Katz    58600.00     29\n",
       "Adams, Eric L      Homemaker                         45639.00     82\n",
       "Wiley, Maya D      Retired                           44687.63    278\n",
       "McGuire, Raymond J Pershing Square Capital Manage    39200.00      9\n",
       "                   Lazard                            36600.00      9\n",
       "Adams, Eric L      Not Employed                      36372.00    300\n",
       "McGuire, Raymond J Sullivan & Cromwell LLP           35050.00     21\n",
       "                   Skadden Arps Slate Meagher & F    33800.00     17\n",
       "Stringer, Scott M  Monroe College                    32400.00     23\n",
       "McGuire, Raymond J Cravath, Swaine & Moore LLP       31100.00     15\n",
       "                   Centerview Partners               30600.00      6\n",
       "                   Kirkland & Ellis LLP              28925.00     20\n",
       "Adams, Eric L      NYPD                              28775.00    220\n",
       "McGuire, Raymond J Kirkland & Ellis                  26600.00     11\n",
       "                   PJT Partners                      24600.00     10\n",
       "Donovan, Shaun     Mediaocean                        24161.00     46\n",
       "McGuire, Raymond J Long Pond Capital                 23900.00      6\n",
       "Donovan, Shaun     Retired                           22250.00     15\n",
       "Garcia, Kathryn A  City of New York                  21665.65    246\n",
       "McGuire, Raymond J Cleary Gottlieb Steen & Hamilt    21450.00     13\n",
       "                   Compass                           21150.21     23\n",
       "                   Greenberg Traurig, LLP            20700.00      5\n",
       "                   Standard Industries               19800.00      6\n",
       "                   Willkie Farr & Gallagher LLP      19400.00     14\n",
       "Yang, Andrew       Google                            19196.84    182"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_agg = mayor_donations[[\"RECIPNAME\", \"EMPNAME\", \"AMNT\"]].copy().groupby([\"RECIPNAME\", \"EMPNAME\"]).agg(['sum', 'count']).sort_values(by=('AMNT', 'sum'), ascending=False)\n",
    "employer_agg.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "changing-there",
   "metadata": {},
   "outputs": [],
   "source": [
    "def employer_donations(name):    \n",
    "    return mayor_donations[mayor_donations[\"EMPNAME\"].str.lower() == name.lower()]\n",
    "\n",
    "def employer_donations_contains(name):    \n",
    "    return mayor_donations[mayor_donations[\"EMPNAME\"].str.lower().contains(name.lower)]\n",
    "\n",
    "def candidates_supported(employer_name):\n",
    "    recipients = employer_donations(employer_name)[[\"RECIPNAME\", \"AMNT\"]].groupby('RECIPNAME').sum().reset_index().sort_values('AMNT', ascending=False).to_dict('records')\n",
    "    return list(map(lambda x: f\"{to_person_name(x['RECIPNAME'])} {to_money(x['AMNT'])}\", recipients))\n",
    "\n",
    "def employer_donations_summary(name, include_donors=False):\n",
    "    d = { 'name': name }\n",
    "    d['sum'] = round(employer_donations(name)['AMNT'].sum())\n",
    "    d['recipients'] = candidates_supported(name)\n",
    "    \n",
    "    donors = list(map(to_person_name, employer_donations(name)[\"NAME\"].unique()))\n",
    "    \n",
    "    d['donor_count'] = len(donors)\n",
    "    d['donor_avg'] = to_money(d['sum'] / d['donor_count'])\n",
    "    \n",
    "    if include_donors:\n",
    "        d['donors'] = donors\n",
    "    \n",
    "    return d\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "positive-guide",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'NETFLIX',\n",
       " 'sum': 12411,\n",
       " 'recipients': ['Raymond J McGuire $10,350',\n",
       "  'Shaun Donovan $1,275',\n",
       "  'Andrew Yang $331',\n",
       "  'Scott M Stringer $300',\n",
       "  'Dianne Morales $100',\n",
       "  'Maya D Wiley $55'],\n",
       " 'donor_count': 17,\n",
       " 'donor_avg': '$730'}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"NETFLIX\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "likely-civilian",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'Kirkland & Ellis',\n",
       " 'sum': 29810,\n",
       " 'recipients': ['Raymond J McGuire $26,600',\n",
       "  'Scott M Stringer $2,400',\n",
       "  'Shaun Donovan $400',\n",
       "  'Andrew Yang $300',\n",
       "  'Kathryn A Garcia $100',\n",
       "  'Maya D Wiley $10'],\n",
       " 'donor_count': 18,\n",
       " 'donor_avg': '$1,656',\n",
       " 'donors': ['reginald brown',\n",
       "  'Lauren Friedman',\n",
       "  'Daniel Fuglestad',\n",
       "  'Jacqueline Haberfeld',\n",
       "  'Jonathan Henes',\n",
       "  'Jia Li Huang',\n",
       "  'Melissa Hutson',\n",
       "  'Jason Kanner',\n",
       "  'Michael Kim',\n",
       "  'Peter Leung',\n",
       "  'Song Lin',\n",
       "  'Ramiro Ocasio',\n",
       "  'Jen Perkins',\n",
       "  'Edward Sassower',\n",
       "  'Monica Shilling',\n",
       "  'Eric Wedel',\n",
       "  'Erica Williams',\n",
       "  'Ali Zaidi']}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"Kirkland & Ellis\", include_donors=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "satisfactory-spread",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'Paul Weiss',\n",
       " 'sum': 206473,\n",
       " 'recipients': ['Raymond J McGuire $198,390',\n",
       "  'Andrew Yang $4,325',\n",
       "  'Maya D Wiley $2,170',\n",
       "  'Scott M Stringer $600',\n",
       "  'Shaun Donovan $350',\n",
       "  'Kathryn A Garcia $315',\n",
       "  'Dianne Morales $273',\n",
       "  'Eric L Adams $50'],\n",
       " 'donor_count': 107,\n",
       " 'donor_avg': '$1,930'}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"Paul Weiss\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "demanding-january",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'Google',\n",
       " 'sum': 60281,\n",
       " 'recipients': ['Andrew Yang $19,197',\n",
       "  'Raymond J McGuire $13,165',\n",
       "  'Dianne Morales $10,024',\n",
       "  'Kathryn A Garcia $7,960',\n",
       "  'Shaun Donovan $3,335',\n",
       "  'Maya D Wiley $3,144',\n",
       "  'Scott M Stringer $3,005',\n",
       "  'Eric L Adams $450'],\n",
       " 'donor_count': 274,\n",
       " 'donor_avg': '$220'}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"Google\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "applicable-station",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'Apple',\n",
       " 'sum': 17463,\n",
       " 'recipients': ['Shaun Donovan $5,875',\n",
       "  'Raymond J McGuire $5,350',\n",
       "  'Maya D Wiley $2,405',\n",
       "  'Andrew Yang $2,303',\n",
       "  'Dianne Morales $1,354',\n",
       "  'Eric L Adams $100',\n",
       "  'Kathryn A Garcia $50',\n",
       "  'Scott M Stringer $25'],\n",
       " 'donor_count': 57,\n",
       " 'donor_avg': '$306'}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"Apple\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "arctic-faculty",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'A&E Real Estate',\n",
       " 'sum': 15100,\n",
       " 'recipients': ['Raymond J McGuire $12,700',\n",
       "  'Eric L Adams $2,000',\n",
       "  'Kathryn A Garcia $400'],\n",
       " 'donor_count': 5,\n",
       " 'donor_avg': '$3,020'}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"A&E Real Estate\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "removable-nicholas",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'Long Pond Capital',\n",
       " 'sum': 23900,\n",
       " 'recipients': ['Raymond J McGuire $23,900'],\n",
       " 'donor_count': 6,\n",
       " 'donor_avg': '$3,983'}"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"Long Pond Capital\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "sufficient-substitute",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'NYPD',\n",
       " 'sum': 34416,\n",
       " 'recipients': ['Eric L Adams $31,825',\n",
       "  'Andrew Yang $908',\n",
       "  'Kathryn A Garcia $700',\n",
       "  'Maya D Wiley $485',\n",
       "  'Raymond J McGuire $248',\n",
       "  'Dianne Morales $135',\n",
       "  'Scott M Stringer $115'],\n",
       " 'donor_count': 187,\n",
       " 'donor_avg': '$184'}"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_donations_summary(\"NYPD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "collaborative-flexibility",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "all_lobbyist_contributions = contributions[contributions['NAME'].str.upper().isin(lobbyist_employees_variations) | contributions['OCCUPATION'].str.upper().eq('LOBBYIST')]\n",
    "lobbyist_contributions = mayor_donations[mayor_donations['NAME'].str.upper().isin(lobbyist_employees_variations) | mayor_donations['OCCUPATION'].str.upper().eq('LOBBYIST')]\n",
    "corporate_lobbyist_contributions = mayor_donations[mayor_donations['NAME'].str.upper().isin(corporate_lobbyist_employees_variations) | mayor_donations['OCCUPATION'].str.upper().eq('LOBBYIST')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "usual-stage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\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>ELECTION</th>\n",
       "      <th>OFFICECD</th>\n",
       "      <th>RECIPID</th>\n",
       "      <th>CANCLASS</th>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>COMMITTEE</th>\n",
       "      <th>FILING</th>\n",
       "      <th>SCHEDULE</th>\n",
       "      <th>PAGENO</th>\n",
       "      <th>SEQUENCENO</th>\n",
       "      <th>REFNO</th>\n",
       "      <th>DATE</th>\n",
       "      <th>REFUNDDATE</th>\n",
       "      <th>NAME</th>\n",
       "      <th>C_CODE</th>\n",
       "      <th>STRNO</th>\n",
       "      <th>STRNAME</th>\n",
       "      <th>APARTMENT</th>\n",
       "      <th>BOROUGHCD</th>\n",
       "      <th>CITY</th>\n",
       "      <th>STATE</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>OCCUPATION</th>\n",
       "      <th>EMPNAME</th>\n",
       "      <th>EMPSTRNO</th>\n",
       "      <th>EMPSTRNAME</th>\n",
       "      <th>EMPCITY</th>\n",
       "      <th>EMPSTATE</th>\n",
       "      <th>AMNT</th>\n",
       "      <th>MATCHAMNT</th>\n",
       "      <th>PREVAMNT</th>\n",
       "      <th>PAY_METHOD</th>\n",
       "      <th>INTERMNO</th>\n",
       "      <th>INTERMNAME</th>\n",
       "      <th>INTSTRNO</th>\n",
       "      <th>INTSTRNM</th>\n",
       "      <th>INTAPTNO</th>\n",
       "      <th>INTCITY</th>\n",
       "      <th>INTST</th>\n",
       "      <th>INTZIP</th>\n",
       "      <th>INTEMPNAME</th>\n",
       "      <th>INTEMPSTNO</th>\n",
       "      <th>INTEMPSTNM</th>\n",
       "      <th>INTEMPCITY</th>\n",
       "      <th>INTEMPST</th>\n",
       "      <th>INTOCCUPA</th>\n",
       "      <th>PURPOSECD</th>\n",
       "      <th>EXEMPTCD</th>\n",
       "      <th>ADJTYPECD</th>\n",
       "      <th>RR_IND</th>\n",
       "      <th>SEG_IND</th>\n",
       "      <th>INT_C_CODE</th>\n",
       "      <th>realestate_littlesis</th>\n",
       "      <th>worst_landlord</th>\n",
       "      <th>works_in_realestate</th>\n",
       "      <th>is_realestate</th>\n",
       "      <th>is_lobbyist</th>\n",
       "      <th>is_corporation</th>\n",
       "      <th>flag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>1</td>\n",
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       "      <td>Donovan, Shaun</td>\n",
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       "      <td>6</td>\n",
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       "      <td>Adams, Amelia</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10004</td>\n",
       "      <td>Consultant</td>\n",
       "      <td>Adams Advisors LLC</td>\n",
       "      <td>One</td>\n",
       "      <td>Battery Park Plaza</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2074</th>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>2303</td>\n",
       "      <td>P</td>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>H</td>\n",
       "      <td>7</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0014467</td>\n",
       "      <td>3/6/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams, Amelia</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>New York</td>\n",
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       "      <td>10004</td>\n",
       "      <td>Consultant</td>\n",
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       "      <td>Battery Park Plaza</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
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       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>2303</td>\n",
       "      <td>P</td>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>H</td>\n",
       "      <td>7</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0014962</td>\n",
       "      <td>3/9/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams, Amelia</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10004</td>\n",
       "      <td>Consultant</td>\n",
       "      <td>Adams Advisors LLC</td>\n",
       "      <td>One</td>\n",
       "      <td>Battery Park Plaza</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>2242</td>\n",
       "      <td>P</td>\n",
       "      <td>Morales, Dianne</td>\n",
       "      <td>H</td>\n",
       "      <td>7</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0028213</td>\n",
       "      <td>3/10/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams, Elizabeth</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>K</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11222</td>\n",
       "      <td>Legislative director</td>\n",
       "      <td>Nyc council</td>\n",
       "      <td>410</td>\n",
       "      <td>Atlantic avenue</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>40.0</td>\n",
       "      <td>40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2148</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>2242</td>\n",
       "      <td>P</td>\n",
       "      <td>Morales, Dianne</td>\n",
       "      <td>H</td>\n",
       "      <td>8</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0046578</td>\n",
       "      <td>5/17/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams, Elizabeth</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>K</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11222</td>\n",
       "      <td>Legislative director</td>\n",
       "      <td>Nyc council</td>\n",
       "      <td>410</td>\n",
       "      <td>Atlantic avenue</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "      <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",
       "      <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>364163</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>2393</td>\n",
       "      <td>P</td>\n",
       "      <td>Wiley, Maya D</td>\n",
       "      <td>H</td>\n",
       "      <td>8</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0070262</td>\n",
       "      <td>5/17/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Youdelman, Sondra</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>K</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11238</td>\n",
       "      <td>Campaigns Director</td>\n",
       "      <td>People's Action</td>\n",
       "      <td>32</td>\n",
       "      <td>Clifton Place</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364492</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>2393</td>\n",
       "      <td>P</td>\n",
       "      <td>Wiley, Maya D</td>\n",
       "      <td>H</td>\n",
       "      <td>8</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0051865</td>\n",
       "      <td>4/16/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Young, Patrick</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>East Elmhurst</td>\n",
       "      <td>NY</td>\n",
       "      <td>11369</td>\n",
       "      <td>Pastor</td>\n",
       "      <td>First Baptist Church</td>\n",
       "      <td>100-10</td>\n",
       "      <td>Astoria Blvd</td>\n",
       "      <td>East Elmhurst</td>\n",
       "      <td>NY</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365085</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>2242</td>\n",
       "      <td>P</td>\n",
       "      <td>Morales, Dianne</td>\n",
       "      <td>H</td>\n",
       "      <td>8</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0047765</td>\n",
       "      <td>5/17/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yuan, Yaya</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10034</td>\n",
       "      <td>Program Director</td>\n",
       "      <td>Apex for Youth</td>\n",
       "      <td>120</td>\n",
       "      <td>Walker St.</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365171</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>1545</td>\n",
       "      <td>P</td>\n",
       "      <td>Adams, Eric L</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0005372</td>\n",
       "      <td>7/12/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yuille, Antonia</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>K</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11213</td>\n",
       "      <td>Director Corporate Affairs</td>\n",
       "      <td>Con Edison</td>\n",
       "      <td>30</td>\n",
       "      <td>Flatbush Ave</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369534</th>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>2303</td>\n",
       "      <td>P</td>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>H</td>\n",
       "      <td>7</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0013569</td>\n",
       "      <td>3/7/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zwang, Ariel</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>10024</td>\n",
       "      <td>CEO</td>\n",
       "      <td>American Jewish Joint Distribu</td>\n",
       "      <td>220</td>\n",
       "      <td>East 42nd Street</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>250.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1530 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ELECTION OFFICECD RECIPID CANCLASS        RECIPNAME COMMITTEE  FILING  \\\n",
       "2073        2021        1    2303        P   Donovan, Shaun         H       6   \n",
       "2074        2021        1    2303        P   Donovan, Shaun         H       7   \n",
       "2075        2021        1    2303        P   Donovan, Shaun         H       7   \n",
       "2147        2021       11    2242        P  Morales, Dianne         H       7   \n",
       "2148        2021       11    2242        P  Morales, Dianne         H       8   \n",
       "...          ...      ...     ...      ...              ...       ...     ...   \n",
       "364163      2021       11    2393        P    Wiley, Maya D         H       8   \n",
       "364492      2021       11    2393        P    Wiley, Maya D         H       8   \n",
       "365085      2021       11    2242        P  Morales, Dianne         H       8   \n",
       "365171      2021       11    1545        P    Adams, Eric L         L       1   \n",
       "369534      2021        1    2303        P   Donovan, Shaun         H       7   \n",
       "\n",
       "       SCHEDULE  PAGENO  SEQUENCENO     REFNO       DATE REFUNDDATE  \\\n",
       "2073        ABC     NaN         NaN  R0003122  9/13/2020        NaN   \n",
       "2074        ABC     NaN         NaN  R0014467   3/6/2021        NaN   \n",
       "2075        ABC     NaN         NaN  R0014962   3/9/2021        NaN   \n",
       "2147        ABC     NaN         NaN  R0028213  3/10/2021        NaN   \n",
       "2148        ABC     NaN         NaN  R0046578  5/17/2021        NaN   \n",
       "...         ...     ...         ...       ...        ...        ...   \n",
       "364163      ABC     NaN         NaN  R0070262  5/17/2021        NaN   \n",
       "364492      ABC     NaN         NaN  R0051865  4/16/2021        NaN   \n",
       "365085      ABC     NaN         NaN  R0047765  5/17/2021        NaN   \n",
       "365171      ABC     NaN         NaN  R0005372  7/12/2018        NaN   \n",
       "369534      ABC     NaN         NaN  R0013569   3/7/2021        NaN   \n",
       "\n",
       "                     NAME C_CODE STRNO STRNAME APARTMENT BOROUGHCD  \\\n",
       "2073        Adams, Amelia    IND   NaN     NaN       NaN         M   \n",
       "2074        Adams, Amelia    IND   NaN     NaN       NaN         M   \n",
       "2075        Adams, Amelia    IND   NaN     NaN       NaN         M   \n",
       "2147     Adams, Elizabeth    IND   NaN     NaN       NaN         K   \n",
       "2148     Adams, Elizabeth    IND   NaN     NaN       NaN         K   \n",
       "...                   ...    ...   ...     ...       ...       ...   \n",
       "364163  Youdelman, Sondra    IND   NaN     NaN       NaN         K   \n",
       "364492     Young, Patrick    IND   NaN     NaN       NaN         Q   \n",
       "365085         Yuan, Yaya    IND   NaN     NaN       NaN         M   \n",
       "365171    Yuille, Antonia    IND   NaN     NaN       NaN         K   \n",
       "369534       Zwang, Ariel    IND   NaN     NaN       NaN         M   \n",
       "\n",
       "                 CITY STATE    ZIP                  OCCUPATION  \\\n",
       "2073         New York    NY  10004                  Consultant   \n",
       "2074         New York    NY  10004                  Consultant   \n",
       "2075         New York    NY  10004                  Consultant   \n",
       "2147         Brooklyn    NY  11222        Legislative director   \n",
       "2148         Brooklyn    NY  11222        Legislative director   \n",
       "...               ...   ...    ...                         ...   \n",
       "364163       Brooklyn    NY  11238          Campaigns Director   \n",
       "364492  East Elmhurst    NY  11369                      Pastor   \n",
       "365085       New York    NY  10034            Program Director   \n",
       "365171       Brooklyn    NY  11213  Director Corporate Affairs   \n",
       "369534       NEW YORK    NY  10024                         CEO   \n",
       "\n",
       "                               EMPNAME EMPSTRNO          EMPSTRNAME  \\\n",
       "2073                Adams Advisors LLC      One  Battery Park Plaza   \n",
       "2074                Adams Advisors LLC      One  Battery Park Plaza   \n",
       "2075                Adams Advisors LLC      One  Battery Park Plaza   \n",
       "2147                       Nyc council      410     Atlantic avenue   \n",
       "2148                       Nyc council      410     Atlantic avenue   \n",
       "...                                ...      ...                 ...   \n",
       "364163                 People's Action       32       Clifton Place   \n",
       "364492            First Baptist Church   100-10        Astoria Blvd   \n",
       "365085                  Apex for Youth      120          Walker St.   \n",
       "365171                      Con Edison       30        Flatbush Ave   \n",
       "369534  American Jewish Joint Distribu      220    East 42nd Street   \n",
       "\n",
       "              EMPCITY EMPSTATE   AMNT  MATCHAMNT  PREVAMNT  PAY_METHOD  \\\n",
       "2073         New York       NY   50.0          0       0.0           4   \n",
       "2074         New York       NY   50.0          0      50.0           4   \n",
       "2075         New York       NY  100.0          0     100.0           4   \n",
       "2147         Brooklyn       NY   40.0         40       0.0           4   \n",
       "2148         Brooklyn       NY   21.0         21      40.0           4   \n",
       "...               ...      ...    ...        ...       ...         ...   \n",
       "364163       Brooklyn       NY   50.0         50       0.0           4   \n",
       "364492  East Elmhurst       NY  100.0        100       0.0           4   \n",
       "365085       New York       NY   50.0         50       0.0           4   \n",
       "365171       Brooklyn       NY   50.0          0       0.0           2   \n",
       "369534       New York       NY  250.0          0       0.0           4   \n",
       "\n",
       "        INTERMNO INTERMNAME  INTSTRNO  INTSTRNM  INTAPTNO INTCITY INTST  \\\n",
       "2073         NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "2074         NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "2075         NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "2147         NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "2148         NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "...          ...        ...       ...       ...       ...     ...   ...   \n",
       "364163       NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "364492       NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "365085       NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "365171       NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "369534       NaN        NaN       NaN       NaN       NaN     NaN   NaN   \n",
       "\n",
       "       INTZIP INTEMPNAME INTEMPSTNO INTEMPSTNM INTEMPCITY INTEMPST INTOCCUPA  \\\n",
       "2073      NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "2074      NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "2075      NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "2147      NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "2148      NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "...       ...        ...        ...        ...        ...      ...       ...   \n",
       "364163    NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "364492    NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "365085    NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "365171    NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "369534    NaN        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "\n",
       "       PURPOSECD EXEMPTCD  ADJTYPECD RR_IND SEG_IND INT_C_CODE  \\\n",
       "2073         NaN      NaN        NaN      N       N        NaN   \n",
       "2074         NaN      NaN        NaN      N       N        NaN   \n",
       "2075         NaN      NaN        NaN      N       N        NaN   \n",
       "2147         NaN      NaN        NaN      N       N        NaN   \n",
       "2148         NaN      NaN        NaN      N       N        NaN   \n",
       "...          ...      ...        ...    ...     ...        ...   \n",
       "364163       NaN      NaN        NaN      N       N        NaN   \n",
       "364492       NaN      NaN        NaN      N       N        NaN   \n",
       "365085       NaN      NaN        NaN      N       N        NaN   \n",
       "365171       NaN      NaN        NaN      N       N        NaN   \n",
       "369534       NaN      NaN        NaN      N       N        NaN   \n",
       "\n",
       "        realestate_littlesis  worst_landlord works_in_realestate  \\\n",
       "2073                   False           False               False   \n",
       "2074                   False           False               False   \n",
       "2075                   False           False               False   \n",
       "2147                   False           False               False   \n",
       "2148                   False           False               False   \n",
       "...                      ...             ...                 ...   \n",
       "364163                 False           False               False   \n",
       "364492                 False           False               False   \n",
       "365085                 False           False               False   \n",
       "365171                 False           False               False   \n",
       "369534                 False           False               False   \n",
       "\n",
       "        is_realestate  is_lobbyist  is_corporation   flag  \n",
       "2073            False         True           False   True  \n",
       "2074            False         True           False   True  \n",
       "2075            False         True           False   True  \n",
       "2147            False        False           False  False  \n",
       "2148            False        False           False  False  \n",
       "...               ...          ...             ...    ...  \n",
       "364163          False        False           False  False  \n",
       "364492          False        False           False  False  \n",
       "365085          False        False           False  False  \n",
       "365171          False        False           False  False  \n",
       "369534          False        False           False  False  \n",
       "\n",
       "[1530 rows x 59 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lobbyist_contributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "impressed-technician",
   "metadata": {},
   "outputs": [
    {
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       "      <td>2021</td>\n",
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       "      <td>Rein, Briget</td>\n",
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       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10016</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
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       "      <td>False</td>\n",
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       "      <td>Menchaca, Carlos</td>\n",
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       "      <td>M</td>\n",
       "      <td>New York</td>\n",
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       "      <td>10029</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>2021</td>\n",
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       "      <td>P</td>\n",
       "      <td>Kallos, Benjamin J</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0018137</td>\n",
       "      <td>5/6/2021</td>\n",
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       "      <td>Abreu, Ysabel</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10029</td>\n",
       "      <td>Community Planning Board Coord</td>\n",
       "      <td>Manhattan Borough Presidents O</td>\n",
       "      <td>311</td>\n",
       "      <td>East 104th St</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "      <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",
       "      <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>366302</th>\n",
       "      <td>2021</td>\n",
       "      <td>6</td>\n",
       "      <td>264</td>\n",
       "      <td>NP</td>\n",
       "      <td>Katz, Melinda</td>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0010066</td>\n",
       "      <td>2/2/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zausner, Daniel</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>Tenafly</td>\n",
       "      <td>NJ</td>\n",
       "      <td>7670</td>\n",
       "      <td>COO</td>\n",
       "      <td>USTA National Tennis Center</td>\n",
       "      <td>1</td>\n",
       "      <td>Flushing Meadows Corona Park</td>\n",
       "      <td>Corona</td>\n",
       "      <td>NY</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366303</th>\n",
       "      <td>2021</td>\n",
       "      <td>55</td>\n",
       "      <td>380</td>\n",
       "      <td>P</td>\n",
       "      <td>Moya, Francisco P</td>\n",
       "      <td>K</td>\n",
       "      <td>5</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0003206</td>\n",
       "      <td>2/7/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>zausner, daniel</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>Tenafly</td>\n",
       "      <td>NJ</td>\n",
       "      <td>7670</td>\n",
       "      <td>COO</td>\n",
       "      <td>usta national tennis center in</td>\n",
       "      <td>one</td>\n",
       "      <td>Flushing Meadows Corona Park</td>\n",
       "      <td>flushing</td>\n",
       "      <td>NY</td>\n",
       "      <td>250.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367924</th>\n",
       "      <td>2021</td>\n",
       "      <td>55</td>\n",
       "      <td>2557</td>\n",
       "      <td>P</td>\n",
       "      <td>Chen, Yi</td>\n",
       "      <td>H</td>\n",
       "      <td>7</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0000806</td>\n",
       "      <td>1/27/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zheng, Zhi Q</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>Mars</td>\n",
       "      <td>PA</td>\n",
       "      <td>16046</td>\n",
       "      <td>Unemployed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368813</th>\n",
       "      <td>2021</td>\n",
       "      <td>33</td>\n",
       "      <td>2474</td>\n",
       "      <td>P</td>\n",
       "      <td>Iscol, Zachary</td>\n",
       "      <td>H</td>\n",
       "      <td>6</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0002448</td>\n",
       "      <td>12/9/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zipkin, Rebecca</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>Westport</td>\n",
       "      <td>CT</td>\n",
       "      <td>6880</td>\n",
       "      <td>Attorney</td>\n",
       "      <td>World WE</td>\n",
       "      <td>150</td>\n",
       "      <td>W 28th St</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>125.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369534</th>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>2303</td>\n",
       "      <td>P</td>\n",
       "      <td>Donovan, Shaun</td>\n",
       "      <td>H</td>\n",
       "      <td>7</td>\n",
       "      <td>ABC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R0013569</td>\n",
       "      <td>3/7/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zwang, Ariel</td>\n",
       "      <td>IND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>10024</td>\n",
       "      <td>CEO</td>\n",
       "      <td>American Jewish Joint Distribu</td>\n",
       "      <td>220</td>\n",
       "      <td>East 42nd Street</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>250.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</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>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>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6465 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ELECTION OFFICECD RECIPID CANCLASS           RECIPNAME COMMITTEE  \\\n",
       "185         2021       55    2190        P        Rein, Briget         H   \n",
       "319         2021       11    1694        P    Menchaca, Carlos         K   \n",
       "471         2021       55    2543        P     Swinton, Victor         H   \n",
       "1323        2021       44    1301        P  Kallos, Benjamin J         L   \n",
       "1324        2021       44    1301        P  Kallos, Benjamin J         L   \n",
       "...          ...      ...     ...      ...                 ...       ...   \n",
       "366302      2021        6     264       NP       Katz, Melinda         R   \n",
       "366303      2021       55     380        P   Moya, Francisco P         K   \n",
       "367924      2021       55    2557        P            Chen, Yi         H   \n",
       "368813      2021       33    2474        P      Iscol, Zachary         H   \n",
       "369534      2021        1    2303        P      Donovan, Shaun         H   \n",
       "\n",
       "        FILING SCHEDULE  PAGENO  SEQUENCENO     REFNO       DATE REFUNDDATE  \\\n",
       "185          1      ABC     NaN         NaN  R0000043  6/11/2018        NaN   \n",
       "319          6      ABC     NaN         NaN  R0006214  12/3/2020        NaN   \n",
       "471          6      ABC     NaN         NaN  R0000027   1/5/2021        NaN   \n",
       "1323         8      ABC     NaN         NaN  R0017414   4/6/2021        NaN   \n",
       "1324         8      ABC     NaN         NaN  R0018137   5/6/2021        NaN   \n",
       "...        ...      ...     ...         ...       ...        ...        ...   \n",
       "366302       1      ABC     NaN         NaN  R0010066   2/2/2018        NaN   \n",
       "366303       5      ABC     NaN         NaN  R0003206   2/7/2020        NaN   \n",
       "367924       7      ABC     NaN         NaN  R0000806  1/27/2021        NaN   \n",
       "368813       6      ABC     NaN         NaN  R0002448  12/9/2020        NaN   \n",
       "369534       7      ABC     NaN         NaN  R0013569   3/7/2021        NaN   \n",
       "\n",
       "                         NAME C_CODE STRNO STRNAME APARTMENT BOROUGHCD  \\\n",
       "185          Aaronson, Melvyn    IND   NaN     NaN       NaN         M   \n",
       "319              Abbate, Mary    IND   NaN     NaN       NaN         Q   \n",
       "471     Abdul-Jabbar, Mubarak    IND   NaN     NaN       NaN         X   \n",
       "1323            Abreu, Ysabel    IND   NaN     NaN       NaN         M   \n",
       "1324            Abreu, Ysabel    IND   NaN     NaN       NaN         M   \n",
       "...                       ...    ...   ...     ...       ...       ...   \n",
       "366302        Zausner, Daniel    IND   NaN     NaN       NaN         Z   \n",
       "366303        zausner, daniel    IND   NaN     NaN       NaN         Z   \n",
       "367924           Zheng, Zhi Q    IND   NaN     NaN       NaN         Z   \n",
       "368813        Zipkin, Rebecca    IND   NaN     NaN       NaN         Z   \n",
       "369534           Zwang, Ariel    IND   NaN     NaN       NaN         M   \n",
       "\n",
       "                 CITY STATE    ZIP                      OCCUPATION  \\\n",
       "185          New York    NY  10016                         Retired   \n",
       "319     Fresh Meadows    NY  11366      Social Worker Adminstrator   \n",
       "471                NY    NY  10475                         Retired   \n",
       "1323         New York    NY  10029  Community Planning Board Coord   \n",
       "1324         New York    NY  10029  Community Planning Board Coord   \n",
       "...               ...   ...    ...                             ...   \n",
       "366302        Tenafly    NJ   7670                             COO   \n",
       "366303        Tenafly    NJ   7670                             COO   \n",
       "367924           Mars    PA  16046                      Unemployed   \n",
       "368813       Westport    CT   6880                        Attorney   \n",
       "369534       NEW YORK    NY  10024                             CEO   \n",
       "\n",
       "                               EMPNAME EMPSTRNO                    EMPSTRNAME  \\\n",
       "185                            Retired      NaN                           NaN   \n",
       "319             Queens Community House      NaN                           NaN   \n",
       "471                                NaN      NaN                           NaN   \n",
       "1323    Manhattan Borough Presidents O      311                 East 104th St   \n",
       "1324    Manhattan Borough Presidents O      311                 East 104th St   \n",
       "...                                ...      ...                           ...   \n",
       "366302     USTA National Tennis Center        1  Flushing Meadows Corona Park   \n",
       "366303  usta national tennis center in      one  Flushing Meadows Corona Park   \n",
       "367924                             NaN      NaN                           NaN   \n",
       "368813                        World WE      150                     W 28th St   \n",
       "369534  American Jewish Joint Distribu      220              East 42nd Street   \n",
       "\n",
       "         EMPCITY EMPSTATE   AMNT  MATCHAMNT  PREVAMNT  PAY_METHOD  INTERMNO  \\\n",
       "185          NaN      NaN  100.0          0       0.0           2       NaN   \n",
       "319          NaN      NaN   10.0         10       0.0           4       NaN   \n",
       "471          NaN      NaN  500.0        175       0.0           4       NaN   \n",
       "1323    New York       NY   50.0         50       0.0           4       NaN   \n",
       "1324    New York       NY   10.0         10      50.0           4       NaN   \n",
       "...          ...      ...    ...        ...       ...         ...       ...   \n",
       "366302    Corona       NY  400.0          0       0.0           4       NaN   \n",
       "366303  flushing       NY  250.0          0       0.0           4       NaN   \n",
       "367924       NaN      NaN  200.0          0       0.0           2       NaN   \n",
       "368813  New York       NY  125.0          0       0.0           4       NaN   \n",
       "369534  New York       NY  250.0          0       0.0           4       NaN   \n",
       "\n",
       "       INTERMNAME  INTSTRNO  INTSTRNM  INTAPTNO INTCITY INTST INTZIP  \\\n",
       "185           NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "319           NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "471           NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "1323          NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "1324          NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "...           ...       ...       ...       ...     ...   ...    ...   \n",
       "366302        NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "366303        NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "367924        NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "368813        NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "369534        NaN       NaN       NaN       NaN     NaN   NaN    NaN   \n",
       "\n",
       "       INTEMPNAME INTEMPSTNO INTEMPSTNM INTEMPCITY INTEMPST INTOCCUPA  \\\n",
       "185           NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "319           NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "471           NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "1323          NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "1324          NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "...           ...        ...        ...        ...      ...       ...   \n",
       "366302        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "366303        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "367924        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "368813        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "369534        NaN        NaN        NaN        NaN      NaN       NaN   \n",
       "\n",
       "       PURPOSECD EXEMPTCD  ADJTYPECD RR_IND SEG_IND INT_C_CODE  \\\n",
       "185          NaN      NaN        NaN      N       N        NaN   \n",
       "319          NaN      NaN        NaN      N       N        NaN   \n",
       "471          NaN      NaN        NaN      N       N        NaN   \n",
       "1323         NaN      NaN        NaN      N       N        NaN   \n",
       "1324         NaN      NaN        NaN      N       N        NaN   \n",
       "...          ...      ...        ...    ...     ...        ...   \n",
       "366302       NaN      NaN        NaN      N       N        NaN   \n",
       "366303       NaN      NaN        NaN      N       N        NaN   \n",
       "367924       NaN      NaN        NaN      N       N        NaN   \n",
       "368813       NaN      NaN        NaN      N       N        NaN   \n",
       "369534       NaN      NaN        NaN      N       N        NaN   \n",
       "\n",
       "        realestate_littlesis  worst_landlord works_in_realestate  \\\n",
       "185                    False           False               False   \n",
       "319                    False           False               False   \n",
       "471                    False           False               False   \n",
       "1323                   False           False               False   \n",
       "1324                   False           False               False   \n",
       "...                      ...             ...                 ...   \n",
       "366302                 False           False               False   \n",
       "366303                 False           False               False   \n",
       "367924                 False           False               False   \n",
       "368813                 False           False               False   \n",
       "369534                 False           False               False   \n",
       "\n",
       "        is_realestate  is_lobbyist  is_corporation   flag  \n",
       "185             False        False           False  False  \n",
       "319             False        False           False  False  \n",
       "471             False        False           False  False  \n",
       "1323            False        False           False  False  \n",
       "1324            False        False           False  False  \n",
       "...               ...          ...             ...    ...  \n",
       "366302          False        False           False  False  \n",
       "366303          False        False           False  False  \n",
       "367924          False        False           False  False  \n",
       "368813          False        False           False  False  \n",
       "369534          False        False           False  False  \n",
       "\n",
       "[6465 rows x 59 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_lobbyist_contributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "removable-affairs",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'734 lobbyists have given $319,369 to mayoral candidates'"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_unique_names = len(lobbyist_contributions['NAME'].unique())\n",
    "total_amount = to_money(lobbyist_contributions['AMNT'].sum())\n",
    "\n",
    "\"{} lobbyists have given {} to mayoral candidates\".format(num_unique_names, total_amount)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "stunning-audit",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'147 corporate lobbyists have given $99,439 to mayoral candidates'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_unique_names = len(corporate_lobbyist_contributions['NAME'].unique())\n",
    "total_amount = to_money(corporate_lobbyist_contributions['AMNT'].sum())\n",
    "\n",
    "\"{} corporate lobbyists have given {} to mayoral candidates\".format(num_unique_names, total_amount)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "seven-projector",
   "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></th>\n",
       "      <th>AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Adams, Eric L</th>\n",
       "      <th>Gray, William</th>\n",
       "      <td>$5,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ng, David</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wachtel, Madeline</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McCormick, Maggie</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mack, William</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Donovan, Shaun</th>\n",
       "      <th>Wilson, John</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miller, Elizabeth</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Merrill, Thomas</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smith, Michael</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenberger, Sharon</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Garcia, Kathryn A</th>\n",
       "      <th>Stern, Andrew</th>\n",
       "      <td>$1,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Murphy, Michael</th>\n",
       "      <td>$1,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mansky, Adam</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bystryn, Marcia</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Jennifer</th>\n",
       "      <td>$750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Ford, Mary</th>\n",
       "      <td>$10,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Klein, Michael</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldberg, Jeffrey</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boxer, Leonard</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams, Steven</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Morales, Dianne</th>\n",
       "      <th>Little, Keith</th>\n",
       "      <td>$2,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arroyo, Maritza</th>\n",
       "      <td>$675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davis, Gordon</th>\n",
       "      <td>$650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watler, Christopher</th>\n",
       "      <td>$500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jackson, Michelle</th>\n",
       "      <td>$450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Stringer, Scott M</th>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kelly, Mary</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rock, Ron</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levine, Randy</th>\n",
       "      <td>$3,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lespinasse, Patrick</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Wiley, Maya D</th>\n",
       "      <th>Rubin, Alan</th>\n",
       "      <td>$1,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Michael</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baxter, Ryan</th>\n",
       "      <td>$925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hinds, Janella</th>\n",
       "      <td>$750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hirsh, Alison</th>\n",
       "      <td>$553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Yang, Andrew</th>\n",
       "      <th>Lee, Eric</th>\n",
       "      <td>$2,050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miller, Richard</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams, Steven</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Silverman, Eric</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           AMNT\n",
       "RECIPNAME          NAME                        \n",
       "Adams, Eric L      Gray, William         $5,000\n",
       "                   Ng, David             $2,500\n",
       "                   Wachtel, Madeline     $2,000\n",
       "                   McCormick, Maggie     $2,000\n",
       "                   Mack, William         $2,000\n",
       "Donovan, Shaun     Wilson, John          $5,100\n",
       "                   Miller, Elizabeth     $2,000\n",
       "                   Merrill, Thomas       $2,000\n",
       "                   Smith, Michael        $1,000\n",
       "                   Greenberger, Sharon   $1,000\n",
       "Garcia, Kathryn A  Stern, Andrew         $1,150\n",
       "                   Murphy, Michael       $1,100\n",
       "                   Mansky, Adam          $1,000\n",
       "                   Bystryn, Marcia       $1,000\n",
       "                   Johnson, Jennifer       $750\n",
       "McGuire, Raymond J Ford, Mary           $10,200\n",
       "                   Klein, Michael        $5,100\n",
       "                   Goldberg, Jeffrey     $5,100\n",
       "                   Boxer, Leonard        $5,100\n",
       "                   Williams, Steven      $5,100\n",
       "Morales, Dianne    Little, Keith         $2,350\n",
       "                   Arroyo, Maritza         $675\n",
       "                   Davis, Gordon           $650\n",
       "                   Watler, Christopher     $500\n",
       "                   Jackson, Michelle       $450\n",
       "Stringer, Scott M  Fisher, Kenneth       $5,100\n",
       "                   Kelly, Mary           $3,000\n",
       "                   Rock, Ron             $3,000\n",
       "                   Levine, Randy         $3,000\n",
       "                   Lespinasse, Patrick   $2,000\n",
       "Wiley, Maya D      Rubin, Alan           $1,750\n",
       "                   Johnson, Michael      $1,000\n",
       "                   Baxter, Ryan            $925\n",
       "                   Hinds, Janella          $750\n",
       "                   Hirsh, Alison           $553\n",
       "Yang, Andrew       Lee, Eric             $2,050\n",
       "                   Miller, Richard       $2,000\n",
       "                   Williams, Steven      $2,000\n",
       "                   Silverman, Eric       $2,000\n",
       "                   Fisher, Kenneth       $2,000"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_donors_per_candidate(lobbyist_contributions, limit=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "disabled-dividend",
   "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></th>\n",
       "      <th>AMNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RECIPNAME</th>\n",
       "      <th>NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Adams, Eric L</th>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McCormick, Maggie</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lombino, David</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Whelan, Rory</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
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       "      <th>Wallace, William</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Donovan, Shaun</th>\n",
       "      <th>Wilson, John</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Merrill, Thomas</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gilmartin, MaryAnne</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frommer, Ross</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ricks, Marc</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Garcia, Kathryn A</th>\n",
       "      <th>Gallagher, john</th>\n",
       "      <td>$500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Michael</th>\n",
       "      <td>$500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anfang, Alix</th>\n",
       "      <td>$425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daly, Samara</th>\n",
       "      <td>$425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kimball, andrew</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">McGuire, Raymond J</th>\n",
       "      <th>Klein, Michael</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams, Steven</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldberg, Jeffrey</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roth, Steven</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson, John</th>\n",
       "      <td>$2,500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Morales, Dianne</th>\n",
       "      <th>Gonzalez, Teresa</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parvizi, Nazli</th>\n",
       "      <td>$300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pitta, Vincent</th>\n",
       "      <td>$150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smith, Robert</th>\n",
       "      <td>$135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Farrell, William</th>\n",
       "      <td>$80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Stringer, Scott M</th>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$5,100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunshine, Kenneth</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lespinasse, Patrick</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sorensen, Mark</th>\n",
       "      <td>$500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dames, Cynthia</th>\n",
       "      <td>$500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Wiley, Maya D</th>\n",
       "      <th>Rubin, Alan</th>\n",
       "      <td>$1,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Michael</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fontas, George</th>\n",
       "      <td>$250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MARTINEZ, RAMON</th>\n",
       "      <td>$250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldberg, Jeffrey</th>\n",
       "      <td>$222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Yang, Andrew</th>\n",
       "      <th>Cohen, Michael</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams, Steven</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fisher, Kenneth</th>\n",
       "      <td>$2,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gerstman, Bradley</th>\n",
       "      <td>$1,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jones, Robert</th>\n",
       "      <td>$400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          AMNT\n",
       "RECIPNAME          NAME                       \n",
       "Adams, Eric L      Fisher, Kenneth      $2,000\n",
       "                   McCormick, Maggie    $2,000\n",
       "                   Lombino, David       $1,000\n",
       "                   Whelan, Rory         $1,000\n",
       "                   Wallace, William     $1,000\n",
       "Donovan, Shaun     Wilson, John         $5,100\n",
       "                   Merrill, Thomas      $2,000\n",
       "                   Gilmartin, MaryAnne    $400\n",
       "                   Frommer, Ross          $400\n",
       "                   Ricks, Marc            $400\n",
       "Garcia, Kathryn A  Gallagher, john        $500\n",
       "                   Johnson, Michael       $500\n",
       "                   Anfang, Alix           $425\n",
       "                   Daly, Samara           $425\n",
       "                   kimball, andrew        $400\n",
       "McGuire, Raymond J Klein, Michael       $5,100\n",
       "                   Williams, Steven     $5,100\n",
       "                   Goldberg, Jeffrey    $5,100\n",
       "                   Roth, Steven         $5,100\n",
       "                   Wilson, John         $2,500\n",
       "Morales, Dianne    Gonzalez, Teresa       $400\n",
       "                   Parvizi, Nazli         $300\n",
       "                   Pitta, Vincent         $150\n",
       "                   Smith, Robert          $135\n",
       "                   Farrell, William        $80\n",
       "Stringer, Scott M  Fisher, Kenneth      $5,100\n",
       "                   Sunshine, Kenneth    $2,000\n",
       "                   Lespinasse, Patrick  $2,000\n",
       "                   Sorensen, Mark         $500\n",
       "                   Dames, Cynthia         $500\n",
       "Wiley, Maya D      Rubin, Alan          $1,750\n",
       "                   Johnson, Michael     $1,000\n",
       "                   Fontas, George         $250\n",
       "                   MARTINEZ, RAMON        $250\n",
       "                   Goldberg, Jeffrey      $222\n",
       "Yang, Andrew       Cohen, Michael       $2,000\n",
       "                   Williams, Steven     $2,000\n",
       "                   Fisher, Kenneth      $2,000\n",
       "                   Gerstman, Bradley    $1,000\n",
       "                   Jones, Robert          $400"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_donors_per_candidate(corporate_lobbyist_contributions, limit=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "engaged-drama",
   "metadata": {},
   "outputs": [],
   "source": [
    "def group_by_recipient_and_amount(df):\n",
    "    group_df = df[[\"RECIPNAME\", \"AMNT\"]].groupby('RECIPNAME').sum().sort_values(by=\"AMNT\", ascending=False)\n",
    "    group_df[\"AMNT\"] = group_df[\"AMNT\"].apply(to_money)\n",
    "    return group_df.rename_axis('Candidates').rename(columns={'AMNT': 'Amount'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "latter-animation",
   "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>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Candidates</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$90,405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <td>$51,725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <td>$50,155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <td>$32,747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$28,363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <td>$26,559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <td>$19,852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <td>$19,562</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Amount\n",
       "Candidates                 \n",
       "McGuire, Raymond J  $90,405\n",
       "Adams, Eric L       $51,725\n",
       "Stringer, Scott M   $50,155\n",
       "Garcia, Kathryn A   $32,747\n",
       "Donovan, Shaun      $28,363\n",
       "Yang, Andrew        $26,559\n",
       "Morales, Dianne     $19,852\n",
       "Wiley, Maya D       $19,562"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lobbyist Donations to Mayoral Candidates\n",
    "group_by_recipient_and_amount(lobbyist_contributions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "tested-satellite",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Candidates</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$34,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <td>$16,700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <td>$14,935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$11,872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <td>$8,773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <td>$6,825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <td>$4,669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <td>$1,464</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Amount\n",
       "Candidates                 \n",
       "McGuire, Raymond J  $34,200\n",
       "Adams, Eric L       $16,700\n",
       "Stringer, Scott M   $14,935\n",
       "Donovan, Shaun      $11,872\n",
       "Yang, Andrew         $8,773\n",
       "Garcia, Kathryn A    $6,825\n",
       "Wiley, Maya D        $4,669\n",
       "Morales, Dianne      $1,464"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Corporate Lobbyist Donations to Mayoral Campaigns\n",
    "group_by_recipient_and_amount(corporate_lobbyist_contributions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "dedicated-optics",
   "metadata": {},
   "outputs": [],
   "source": [
    "lobbyist_contributions.sort_values(['RECIPNAME', 'DATE']).to_csv('flagged_lobbyist_donations.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "reserved-machinery",
   "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>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Candidates</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$10,093,818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <td>$4,739,061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <td>$3,600,747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$2,858,059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <td>$2,839,137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Vincent C</th>\n",
       "      <td>$55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marin, Danny</th>\n",
       "      <td>$40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estrella, Miguel</th>\n",
       "      <td>$25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexis, David T</th>\n",
       "      <td>$23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Silver, Nayma</th>\n",
       "      <td>$5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>504 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Amount\n",
       "Candidates                     \n",
       "McGuire, Raymond J  $10,093,818\n",
       "Adams, Eric L        $4,739,061\n",
       "Yang, Andrew         $3,600,747\n",
       "Donovan, Shaun       $2,858,059\n",
       "Stringer, Scott M    $2,839,137\n",
       "...                         ...\n",
       "Johnson, Vincent C          $55\n",
       "Marin, Danny                $40\n",
       "Estrella, Miguel            $25\n",
       "Alexis, David T             $23\n",
       "Silver, Nayma                $5\n",
       "\n",
       "[504 rows x 1 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_by_recipient_and_amount(contributions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "involved-effect",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Candidates</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>McGuire, Raymond J</th>\n",
       "      <td>$90,405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Eric L</th>\n",
       "      <td>$51,725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stringer, Scott M</th>\n",
       "      <td>$50,155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garcia, Kathryn A</th>\n",
       "      <td>$32,747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lander, Brad</th>\n",
       "      <td>$29,490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levine, Mark</th>\n",
       "      <td>$29,303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benjamin, Brian A</th>\n",
       "      <td>$29,033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donovan, Shaun</th>\n",
       "      <td>$28,363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yang, Andrew</th>\n",
       "      <td>$26,559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diaz Jr., Ruben</th>\n",
       "      <td>$22,918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morales, Dianne</th>\n",
       "      <td>$19,852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley, Maya D</th>\n",
       "      <td>$19,562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson, Corey D</th>\n",
       "      <td>$16,856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hoylman, Brad</th>\n",
       "      <td>$15,285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Katz, Melinda</th>\n",
       "      <td>$14,875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Van Bramer, Jimmy</th>\n",
       "      <td>$13,938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cornegy, Jr., Robert E</th>\n",
       "      <td>$12,265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Salamanca, Jr., Rafael</th>\n",
       "      <td>$10,995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reynoso, Antonio</th>\n",
       "      <td>$10,496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Powers, Keith</th>\n",
       "      <td>$10,295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gibson, Vanessa L</th>\n",
       "      <td>$10,046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rivera, Carlina</th>\n",
       "      <td>$9,287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parker, Kevin</th>\n",
       "      <td>$8,438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hudson, Crystal</th>\n",
       "      <td>$8,305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Richards, Donovan</th>\n",
       "      <td>$8,175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iscol, Zachary</th>\n",
       "      <td>$8,080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tirschwell, Sara A</th>\n",
       "      <td>$8,050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weprin, David I</th>\n",
       "      <td>$7,910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brannan, Justin</th>\n",
       "      <td>$7,400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moya, Francisco P</th>\n",
       "      <td>$7,145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schulman, Lynn C</th>\n",
       "      <td>$7,125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Farias, Amanda</th>\n",
       "      <td>$6,428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sutton, Loree K</th>\n",
       "      <td>$6,230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kallos, Benjamin J</th>\n",
       "      <td>$6,196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shafran, Austin</th>\n",
       "      <td>$6,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Elizabeth</th>\n",
       "      <td>$6,086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Simon, Jo Anne</th>\n",
       "      <td>$5,670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bottcher, Erik</th>\n",
       "      <td>$5,670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>De La Rosa, Carmen</th>\n",
       "      <td>$5,640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Edwards, Khari</th>\n",
       "      <td>$5,620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rein, Briget</th>\n",
       "      <td>$5,595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chang, Art</th>\n",
       "      <td>$5,485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fernandez, Nathalia</th>\n",
       "      <td>$5,073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ayala, Diana</th>\n",
       "      <td>$5,035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Adrienne E</th>\n",
       "      <td>$4,885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lamorte, Rebecca</th>\n",
       "      <td>$4,822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Williams, Jumaane D</th>\n",
       "      <td>$4,715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lynch, Stacy R</th>\n",
       "      <td>$4,350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosenthal, Helen K</th>\n",
       "      <td>$4,165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yeger, Kalman</th>\n",
       "      <td>$4,033</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Amount\n",
       "Candidates                     \n",
       "McGuire, Raymond J      $90,405\n",
       "Adams, Eric L           $51,725\n",
       "Stringer, Scott M       $50,155\n",
       "Garcia, Kathryn A       $32,747\n",
       "Lander, Brad            $29,490\n",
       "Levine, Mark            $29,303\n",
       "Benjamin, Brian A       $29,033\n",
       "Donovan, Shaun          $28,363\n",
       "Yang, Andrew            $26,559\n",
       "Diaz Jr., Ruben         $22,918\n",
       "Morales, Dianne         $19,852\n",
       "Wiley, Maya D           $19,562\n",
       "Johnson, Corey D        $16,856\n",
       "Hoylman, Brad           $15,285\n",
       "Katz, Melinda           $14,875\n",
       "Van Bramer, Jimmy       $13,938\n",
       "Cornegy, Jr., Robert E  $12,265\n",
       "Salamanca, Jr., Rafael  $10,995\n",
       "Reynoso, Antonio        $10,496\n",
       "Powers, Keith           $10,295\n",
       "Gibson, Vanessa L       $10,046\n",
       "Rivera, Carlina          $9,287\n",
       "Parker, Kevin            $8,438\n",
       "Hudson, Crystal          $8,305\n",
       "Richards, Donovan        $8,175\n",
       "Iscol, Zachary           $8,080\n",
       "Tirschwell, Sara A       $8,050\n",
       "Weprin, David I          $7,910\n",
       "Brannan, Justin          $7,400\n",
       "Moya, Francisco P        $7,145\n",
       "Schulman, Lynn C         $7,125\n",
       "Farias, Amanda           $6,428\n",
       "Sutton, Loree K          $6,230\n",
       "Kallos, Benjamin J       $6,196\n",
       "Shafran, Austin          $6,150\n",
       "Adams, Elizabeth         $6,086\n",
       "Simon, Jo Anne           $5,670\n",
       "Bottcher, Erik           $5,670\n",
       "De La Rosa, Carmen       $5,640\n",
       "Edwards, Khari           $5,620\n",
       "Rein, Briget             $5,595\n",
       "Chang, Art               $5,485\n",
       "Fernandez, Nathalia      $5,073\n",
       "Ayala, Diana             $5,035\n",
       "Adams, Adrienne E        $4,885\n",
       "Lamorte, Rebecca         $4,822\n",
       "Williams, Jumaane D      $4,715\n",
       "Lynch, Stacy R           $4,350\n",
       "Rosenthal, Helen K       $4,165\n",
       "Yeger, Kalman            $4,033"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_by_recipient_and_amount(all_lobbyist_contributions).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "comparable-scout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'$319,369'"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_money(lobbyist_contributions['AMNT'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "unique-sharing",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'$1,184,259'"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_money(flagged_donations['AMNT'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "imported-leonard",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RECIPNAME           EMPNAME                       \n",
       "Adams, Eric L       NYPD                               28775.00\n",
       "                    Tashkent Supermarket               16000.00\n",
       "                    KSK Construction Group LLC         12700.00\n",
       "                    Bensusan Restaurant Corp           12100.00\n",
       "                    Gravity Construction               12000.00\n",
       "                    S&L Aerospace Metals               10700.00\n",
       "                    Broadway Stages Ltd                10500.00\n",
       "                    Ferguson & Shamaimian Architec     10200.00\n",
       "                    Prime Clark                        10200.00\n",
       "                    Morgan Stanley                     10150.00\n",
       "Donovan, Shaun      Mediaocean                         24161.00\n",
       "                    Peloton                            15300.00\n",
       "                    Mastercard                         12720.00\n",
       "                    Statue of Liberty-Ellis Island     10300.00\n",
       "                    Blue Hill                          10250.00\n",
       "                    Johnston Marklee                   10200.00\n",
       "                    Ogden CAP Properties, LLC          10200.00\n",
       "                    Columbia University                10070.00\n",
       "                    NYU                                 8805.00\n",
       "                    CBRE                                8275.00\n",
       "Garcia, Kathryn A   City of New York                   21665.65\n",
       "                    DSNY                               19044.07\n",
       "                    Jane Street Capital                 9000.00\n",
       "                    Google                              7960.00\n",
       "                    NYC                                 7189.00\n",
       "                    Sullivan & Cromwell                 6000.00\n",
       "                    NYC Department of Sanitation        5976.00\n",
       "                    City of NY                          5619.42\n",
       "                    Columbia University                 5407.00\n",
       "                    Goldman Sachs                       5025.00\n",
       "McGuire, Raymond J  Paul Weiss                        198390.42\n",
       "                    Citigroup                         151267.71\n",
       "                    Skadden Arps                       96935.00\n",
       "                    Greenberg Traurig                  64550.00\n",
       "                    Wachtell, Lipton, Rosen & Katz     58600.00\n",
       "                    Pershing Square Capital Manage     39200.00\n",
       "                    Lazard                             36600.00\n",
       "                    Sullivan & Cromwell LLP            35050.00\n",
       "                    Skadden Arps Slate Meagher & F     33800.00\n",
       "                    Cravath, Swaine & Moore LLP        31100.00\n",
       "Morales, Dianne     Google                             10024.42\n",
       "                    NYC DOE                             8320.92\n",
       "                    City of New York                    5110.58\n",
       "                    NYU                                 4636.73\n",
       "                    Columbia University                 4419.41\n",
       "                    Columbia University Medical Ce      4325.98\n",
       "                    NYCDOE                              4317.81\n",
       "                    CUNY                                4047.52\n",
       "                    New York University                 4016.70\n",
       "                    DOE                                 3029.44\n",
       "Stringer, Scott M   Monroe College                     32400.00\n",
       "                    Fisher Brothers                    15300.00\n",
       "                    The Brodsky Organization           12350.00\n",
       "                    Sacks & Sacks LLP                  12000.00\n",
       "                    Brown Weinraub                     10550.00\n",
       "                    Rubenstein Communications          10050.00\n",
       "                    Kramer Dillof Livingston Moore     10000.00\n",
       "                    Wachtell, Lipton, Rosen & Katz      9900.00\n",
       "                    Terra Holdings                      8550.00\n",
       "                    Columbia University                 7904.00\n",
       "Wiley, Maya D       Columbia University                12180.03\n",
       "                    NYU                                 9466.46\n",
       "                    City of New York                    8450.20\n",
       "                    The New School                      8367.51\n",
       "                    Perkins Coie LLP                    7457.05\n",
       "                    Kramer Levin                        7000.00\n",
       "                    CUNY                                6347.00\n",
       "                    Monroe College                      6030.00\n",
       "                    Jay Street Ventures                 4600.00\n",
       "                    Open Society Foundations            4460.00\n",
       "Yang, Andrew        Google                             19196.84\n",
       "                    WSB Partners                       12000.00\n",
       "                    Third Point LLC                     9250.00\n",
       "                    Columbia University                 8711.43\n",
       "                    Panepinto Properties                8000.00\n",
       "                    WFG                                 6480.00\n",
       "                    RTW Investments                     6000.00\n",
       "                    Urby                                5700.00\n",
       "                    Bank of America                     5391.42\n",
       "                    Roundhouse inc                      5320.00\n",
       "Name: AMNT, dtype: float64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# see: https://stackoverflow.com/questions/27842613/pandas-groupby-sort-within-groups\n",
    "\n",
    "exclude_empname = ['Not Employed', 'Self Employed', 'Retired', 'Self Employee', 'Homemaker', 'None', '-']\n",
    "mayor_donations[~mayor_donations['EMPNAME'].isin(exclude_empname)][['RECIPNAME', 'AMNT', 'EMPNAME']].groupby(['RECIPNAME', 'EMPNAME']).agg({'AMNT': 'sum'})['AMNT'].groupby('RECIPNAME', group_keys=False).nlargest(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "premier-improvement",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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