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shanktt/TrumpMentions.ipynb

Created April 30, 2022 17:44
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TrumpMentions.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "7fd94a93",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e460bad0",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3146: DtypeWarning: Columns (15,30,31,33,34) have mixed types.Specify dtype option on import or set low_memory=False.\n",
" has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
]
}
],
"source": [
"tossup_states_only = pd.read_csv(r'/Users/ashanktomar/Documents/comm_research/Trump Political Ads Research/PoliticalAds_2018/Data/tossup_states_metadata.csv')\n",
"all_states = pd.read_csv(r'/Users/ashanktomar/Documents/comm_research/Trump Political Ads Research/PoliticalAds_2018/Data/wmp-senate-2018-v1.0.csv')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1e7f5beb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1334276, 201)\n",
"(891848, 201)\n"
]
}
],
"source": [
"print(all_states.shape)\n",
"print(tossup_states_only.shape)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "57fdba2d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"273036\n",
"165697\n"
]
}
],
"source": [
"print(np.count_nonzero(all_states['prsment']))\n",
"print(np.count_nonzero(tossup_states_only['prsment']))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "8f29b1f5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"categorystate\n",
"AL 21312.0\n",
"AZ 7306.0\n",
"CA 18066.0\n",
"CT 926.0\n",
"FL 27115.0\n",
"HI 0.0\n",
"IN 46019.0\n",
"MA 0.0\n",
"MD 3718.0\n",
"ME 0.0\n",
"MI 10867.0\n",
"MN 0.0\n",
"MO 8003.0\n",
"MS 10165.0\n",
"MT 38439.0\n",
"ND 15889.0\n",
"NE 1429.0\n",
"NJ 11622.0\n",
"NM 1024.0\n",
"NV 38522.0\n",
"NY 0.0\n",
"OH 986.0\n",
"PA 989.0\n",
"RI 3620.0\n",
"TN 43811.0\n",
"TX 140.0\n",
"UT 5.0\n",
"VA 5180.0\n",
"VT 0.0\n",
"WA 39.0\n",
"WI 6002.0\n",
"WV 36988.0\n",
"Name: prsment, dtype: float64\n"
]
}
],
"source": [
"state_groups = all_states.groupby(['categorystate'])\n",
"print(state_groups['prsment'].sum())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "1d481850",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(752139, 201)\n"
]
}
],
"source": [
"only_candidate_ads = all_states.dropna( how='any',subset=['cand_id'])\n",
"\n",
"print(only_candidate_ads.shape)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e9f48f31",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"<ipython-input-7-1a3531242fc1>:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" only_candidate_ads['Date'] = pd.to_datetime(only_candidate_ads['airdate']) - pd.to_timedelta(7, unit='d')\n"
]
}
],
"source": [
"only_candidate_ads['Date'] = pd.to_datetime(only_candidate_ads['airdate']) - pd.to_timedelta(7, unit='d')\n",
"\n",
"#per_candidate_groups = only_candidate_ads.groupby(['cand_id'])"
]
},
{
"cell_type": "code",
"execution_count": 82,
"id": "ec893d0c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"cand_id party Date \n",
"Aalders, Tim CONSTITUTION 2018-10-15 4.0\n",
" 2018-10-22 1.0\n",
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" 2017-05-29 0.0\n",
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" 2018-11-05 0.0\n",
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" 2018-02-26 0.0\n",
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" 2018-04-23 20.0\n",
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" 2017-09-11 0.0\n",
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" 2017-09-25 0.0\n",
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" 2018-11-05 150.0\n",
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" 2018-03-05 96.0\n",
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" 2018-06-11 117.0\n",
" 2018-06-18 90.0\n",
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" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 12.0\n",
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" 2018-10-01 8.0\n",
" 2018-10-08 4.0\n",
" 2018-10-15 462.0\n",
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" 2017-07-17 273.0\n",
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" 2017-08-14 47.0\n",
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" 2018-06-18 0.0\n",
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" 2018-07-23 18.0\n",
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" 2018-10-01 0.0\n",
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" 2018-10-08 0.0\n",
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" 2018-10-29 624.0\n",
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" 2018-05-28 0.0\n",
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" 2017-01-30 67.0\n",
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" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
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" 2017-06-26 103.0\n",
"Cramer, Kevin REPUBLICAN 2018-05-28 87.0\n",
" 2018-06-04 305.0\n",
" 2018-06-11 262.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
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" 2018-10-15 107.0\n",
" 2018-10-22 416.0\n",
" 2018-10-29 827.0\n",
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" 2018-08-06 0.0\n",
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" 2018-05-28 43.0\n",
"Diehl, Geoff REPUBLICAN 2018-10-29 0.0\n",
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" 2017-05-29 0.0\n",
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" 2018-07-30 496.0\n",
" 2018-08-06 603.0\n",
" 2018-08-13 630.0\n",
" 2018-08-20 649.0\n",
" 2018-08-27 716.0\n",
" 2018-09-03 937.0\n",
" 2018-09-10 818.0\n",
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" 2018-10-01 0.0\n",
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" 2018-10-22 1817.0\n",
" 2018-10-29 450.0\n",
" 2018-11-05 36.0\n",
" REPUBLICAN 2018-04-16 86.0\n",
" 2018-04-23 42.0\n",
" 2018-08-06 105.0\n",
" 2018-08-13 130.0\n",
" 2018-08-20 128.0\n",
" 2018-08-27 103.0\n",
" 2018-09-03 55.0\n",
" 2018-09-10 1.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Downing, Troy REPUBLICAN 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 309.0\n",
" 2017-12-04 229.0\n",
" 2018-03-26 204.0\n",
" 2018-04-02 223.0\n",
" 2018-04-09 203.0\n",
" 2018-04-16 214.0\n",
" 2018-04-23 203.0\n",
" 2018-04-30 214.0\n",
" 2018-05-07 238.0\n",
" 2018-05-14 298.0\n",
" 2018-05-21 298.0\n",
" 2018-05-28 346.0\n",
" 2018-06-04 17.0\n",
"Espy, Mike DEMOCRAT 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Fagg, Russ REPUBLICAN 2018-04-30 465.0\n",
" 2018-05-07 13.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
"Feinstein, Dianne DEMOCRAT 2018-05-07 916.0\n",
" 2018-05-14 1080.0\n",
" 2018-05-21 1522.0\n",
" 2018-05-28 2132.0\n",
" 2018-06-04 100.0\n",
" 2018-10-22 853.0\n",
" 2018-10-29 2290.0\n",
" 2018-11-05 89.0\n",
"Fischer, Deb DEMOCRAT 2018-10-01 0.0\n",
" REPUBLICAN 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
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" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Fisher, Jason DEMOCRAT 2017-07-31 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
"Flake, Jeff DEMOCRAT 2017-01-16 3.0\n",
" 2017-03-27 53.0\n",
" 2017-04-03 28.0\n",
" 2017-07-17 6.0\n",
" REPUBLICAN 2017-02-20 0.0\n",
" 2017-02-27 0.0\n",
" 2017-03-06 0.0\n",
"Flanders, Bob REPUBLICAN 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 122.0\n",
" 2018-09-24 126.0\n",
" 2018-10-01 19.0\n",
" 2018-10-29 166.0\n",
" 2018-11-05 30.0\n",
"Freitas, Nick REPUBLICAN 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
"Gibbons, Mike REPUBLICAN 2018-04-16 0.0\n",
" 2018-04-23 248.0\n",
" 2018-04-30 330.0\n",
" 2018-05-07 3.0\n",
"Hartson, Alison DEMOCRAT 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
"Hatch, Orrin REPUBLICAN 2017-02-20 0.0\n",
" 2017-02-27 0.0\n",
" 2017-03-06 0.0\n",
"Hawley, Josh DEMOCRAT 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" REPUBLICAN 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-08-06 760.0\n",
" 2018-08-13 426.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 411.0\n",
" 2018-10-22 1649.0\n",
" 2018-10-29 794.0\n",
" 2018-11-05 10.0\n",
"Heidel, Jack REPUBLICAN 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
"Heinrich, Martin DEMOCRAT 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 70.0\n",
" 2018-09-24 123.0\n",
" 2018-10-01 158.0\n",
" 2018-10-08 161.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Heitkamp, Heidi DEMOCRAT 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
" 2017-08-21 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 197.0\n",
" 2018-06-18 159.0\n",
" 2018-06-25 118.0\n",
" 2018-07-02 152.0\n",
" 2018-07-09 185.0\n",
" 2018-07-16 293.0\n",
" 2018-07-23 164.0\n",
" 2018-07-30 206.0\n",
" 2018-08-06 190.0\n",
" 2018-08-13 43.0\n",
" 2018-08-20 162.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 180.0\n",
" 2018-10-01 160.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 439.0\n",
" 2018-11-05 5.0\n",
" REPUBLICAN 2018-08-06 144.0\n",
" 2018-08-13 169.0\n",
" 2018-08-20 172.0\n",
" 2018-08-27 166.0\n",
" 2018-09-03 60.0\n",
"Heller, Dean DEMOCRAT 2017-04-24 0.0\n",
" 2017-07-03 44.0\n",
" 2017-07-10 737.0\n",
" 2017-07-17 6.0\n",
" 2017-07-24 0.0\n",
" OTHER 2017-01-16 54.0\n",
" 2017-01-23 22.0\n",
" REPUBLICAN 2017-02-20 0.0\n",
" 2017-02-27 0.0\n",
" 2017-03-06 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 9.0\n",
" 2017-11-13 116.0\n",
" 2017-11-20 287.0\n",
" 2017-11-27 236.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 4.0\n",
" 2018-06-18 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Hirono, Mazie DEMOCRAT 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Housley, Karin REPUBLICAN 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Hugin, Bob REPUBLICAN 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 992.0\n",
" 2018-11-05 112.0\n",
"Hutchison, Susan REPUBLICAN 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Hyde-Smith, Cindy REPUBLICAN 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-09-17 407.0\n",
" 2018-09-24 468.0\n",
" 2018-10-01 164.0\n",
" 2018-10-08 582.0\n",
" 2018-10-15 674.0\n",
" 2018-10-22 670.0\n",
" 2018-10-29 715.0\n",
" 2018-11-05 75.0\n",
"James, John REPUBLICAN 2018-07-09 156.0\n",
" 2018-07-16 287.0\n",
" 2018-07-23 362.0\n",
" 2018-07-30 559.0\n",
" 2018-08-06 34.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 3.0\n",
" 2018-11-05 0.0\n",
"Janicek, Chris DEMOCRAT 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
"Jenkins, Evan REPUBLICAN 2018-04-02 492.0\n",
" 2018-04-09 775.0\n",
" 2018-04-16 941.0\n",
" 2018-04-23 1166.0\n",
" 2018-04-30 857.0\n",
" 2018-05-07 164.0\n",
"Johnson, Gary LIBERTARIAN 2018-10-01 0.0\n",
" 2018-10-15 0.0\n",
"Jones, Doug DEMOCRAT 2017-10-02 0.0\n",
" 2017-10-09 0.0\n",
" 2017-10-16 0.0\n",
" 2017-10-23 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 0.0\n",
" 2017-12-04 0.0\n",
" 2017-12-11 0.0\n",
"Kaine, Tim DEMOCRAT 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 300.0\n",
" 2018-10-22 731.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Kennedy, Mike REPUBLICAN 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
"Kiley, Dan REPUBLICAN 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
"King, Angus OTHER 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Kingston, John REPUBLICAN 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
"Klobuchar, Amy DEMOCRAT 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Knepper, Howard REPUBLICAN 2018-09-03 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-29 0.0\n",
"Macek, Dennis Frank REPUBLICAN 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
"Manchin, Joe DEMOCRAT 2017-06-05 58.0\n",
" 2017-06-12 586.0\n",
" 2017-06-19 458.0\n",
" 2017-11-27 132.0\n",
" 2017-12-04 184.0\n",
" 2017-12-11 47.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-11 1233.0\n",
" 2018-06-18 40.0\n",
" 2018-07-02 62.0\n",
" 2018-07-09 189.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 233.0\n",
" 2018-10-22 1057.0\n",
" 2018-10-29 10.0\n",
" 2018-11-05 0.0\n",
" REPUBLICAN 2017-11-06 57.0\n",
" 2017-11-13 82.0\n",
" 2017-11-20 66.0\n",
" 2017-11-27 64.0\n",
" 2018-04-16 49.0\n",
" 2018-04-23 10.0\n",
" 2018-08-06 181.0\n",
" 2018-08-13 196.0\n",
" 2018-08-20 195.0\n",
" 2018-08-27 4.0\n",
"Marvin, Larry DEMOCRAT 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
"McCaskill, Claire DEMOCRAT 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-06-19 0.0\n",
" 2018-02-12 0.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 67.0\n",
" 2018-04-09 82.0\n",
" 2018-04-16 68.0\n",
" 2018-04-23 41.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 41.0\n",
" 2018-10-08 2012.0\n",
" 2018-10-15 951.0\n",
" 2018-10-22 63.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
" REPUBLICAN 2017-10-16 8.0\n",
" 2017-10-23 2.0\n",
" 2018-05-14 219.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
"McDaniel, Chris REPUBLICAN 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
"McSally, Martha REPUBLICAN 2018-02-05 2.0\n",
" 2018-07-30 502.0\n",
" 2018-08-06 762.0\n",
" 2018-08-13 435.0\n",
" 2018-08-20 161.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Menendez, Bob DEMOCRAT 2018-08-20 18.0\n",
" 2018-08-27 13.0\n",
" 2018-09-03 25.0\n",
" 2018-09-10 7.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 251.0\n",
" 2018-10-08 409.0\n",
" 2018-10-15 154.0\n",
" 2018-10-22 255.0\n",
" 2018-10-29 382.0\n",
" 2018-11-05 79.0\n",
"Messer, Luke REPUBLICAN 2018-03-05 239.0\n",
" 2018-03-12 312.0\n",
" 2018-03-19 330.0\n",
" 2018-03-26 435.0\n",
" 2018-04-02 667.0\n",
" 2018-04-09 426.0\n",
" 2018-04-16 287.0\n",
" 2018-04-23 569.0\n",
" 2018-04-30 592.0\n",
" 2018-05-07 9.0\n",
"Moore, Roy REPUBLICAN 2017-07-24 222.0\n",
" 2017-07-31 370.0\n",
" 2017-08-07 501.0\n",
" 2017-08-14 44.0\n",
" 2017-09-04 0.0\n",
" 2017-09-11 56.0\n",
" 2017-09-18 0.0\n",
" 2017-09-25 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 361.0\n",
" 2017-12-04 1221.0\n",
" 2017-12-11 72.0\n",
"Morrisey, Patrick REPUBLICAN 2018-03-12 129.0\n",
" 2018-03-19 274.0\n",
" 2018-03-26 262.0\n",
" 2018-04-02 145.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 432.0\n",
" 2018-04-30 895.0\n",
" 2018-05-07 86.0\n",
" 2018-08-13 78.0\n",
" 2018-08-20 464.0\n",
" 2018-08-27 197.0\n",
" 2018-09-03 806.0\n",
" 2018-09-10 861.0\n",
" 2018-09-17 948.0\n",
" 2018-09-24 550.0\n",
" 2018-10-01 708.0\n",
" 2018-10-08 905.0\n",
" 2018-10-15 1232.0\n",
" 2018-10-22 1607.0\n",
" 2018-10-29 2542.0\n",
" 2018-11-05 195.0\n",
"Murphy, Chris DEMOCRAT 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 23.0\n",
" 2018-10-08 142.0\n",
" 2018-10-15 139.0\n",
" 2018-10-22 100.0\n",
" 2018-10-29 48.0\n",
" 2018-11-05 11.0\n",
"Nelson, Bill DEMOCRAT 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 48.0\n",
" 2018-09-17 85.0\n",
" 2018-09-24 80.0\n",
" 2018-10-01 122.0\n",
" 2018-10-08 150.0\n",
" 2018-10-15 420.0\n",
" 2018-10-22 660.0\n",
" 2018-10-29 928.0\n",
" 2018-11-05 78.0\n",
"Nicholson, Kevin REPUBLICAN 2017-10-16 0.0\n",
" 2017-10-23 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2018-01-01 0.0\n",
" 2018-01-08 0.0\n",
" 2018-01-15 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-16 214.0\n",
" 2018-04-23 457.0\n",
" 2018-04-30 242.0\n",
" 2018-07-09 24.0\n",
" 2018-07-16 70.0\n",
" 2018-07-23 90.0\n",
" 2018-07-30 289.0\n",
" 2018-08-06 325.0\n",
" 2018-08-13 47.0\n",
"Noren, Scott DEMOCRAT 2018-03-19 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
"O'Rourke, Beto DEMOCRAT 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 25.0\n",
" 2018-11-05 34.0\n",
"Olszewski, Al REPUBLICAN 2018-05-28 0.0\n",
"Pensler, Sandy REPUBLICAN 2018-01-29 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 150.0\n",
" 2018-04-30 235.0\n",
" 2018-05-07 23.0\n",
" 2018-05-21 65.0\n",
" 2018-05-28 17.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 13.0\n",
" 2018-06-18 30.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 228.0\n",
" 2018-07-16 389.0\n",
" 2018-07-23 827.0\n",
" 2018-07-30 899.0\n",
" 2018-08-06 78.0\n",
"Pittman, Trip REPUBLICAN 2017-07-31 86.0\n",
" 2017-08-07 183.0\n",
" 2017-08-14 2.0\n",
"Raybould, Jane DEMOCRAT 2018-07-16 16.0\n",
" 2018-07-23 9.0\n",
" 2018-08-20 265.0\n",
" 2018-08-27 278.0\n",
" 2018-09-03 141.0\n",
" 2018-09-10 12.0\n",
" 2018-09-17 6.0\n",
"Renacci, Jim REPUBLICAN 2018-04-16 85.0\n",
" 2018-04-23 82.0\n",
" 2018-04-30 235.0\n",
" 2018-05-07 3.0\n",
"Ringelstein, Zak DEMOCRAT 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
"Rokita, Todd REPUBLICAN 2018-03-26 239.0\n",
" 2018-04-02 398.0\n",
" 2018-04-09 477.0\n",
" 2018-04-16 769.0\n",
" 2018-04-23 974.0\n",
" 2018-04-30 1291.0\n",
" 2018-05-07 99.0\n",
"Romney, Mitt REPUBLICAN 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Rosen, Jacky DEMOCRAT 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 10.0\n",
" 2018-06-18 8.0\n",
" 2018-06-25 6.0\n",
" 2018-07-02 77.0\n",
" 2018-07-09 81.0\n",
" 2018-07-16 76.0\n",
" 2018-07-23 245.0\n",
" 2018-07-30 690.0\n",
" 2018-08-06 443.0\n",
" 2018-08-13 326.0\n",
" 2018-08-20 208.0\n",
" 2018-08-27 80.0\n",
" 2018-09-03 79.0\n",
" 2018-09-10 77.0\n",
" 2018-09-17 83.0\n",
" 2018-09-24 296.0\n",
" 2018-10-01 797.0\n",
" 2018-10-08 774.0\n",
" 2018-10-15 1102.0\n",
" 2018-10-22 1190.0\n",
" 2018-10-29 979.0\n",
" 2018-11-05 74.0\n",
"Rosendale, Matt REPUBLICAN 2018-03-19 154.0\n",
" 2018-03-26 358.0\n",
" 2018-04-02 321.0\n",
" 2018-04-09 163.0\n",
" 2018-04-30 166.0\n",
" 2018-05-07 146.0\n",
" 2018-05-14 190.0\n",
" 2018-05-21 227.0\n",
" 2018-05-28 232.0\n",
" 2018-06-04 22.0\n",
" 2018-06-11 212.0\n",
" 2018-06-18 226.0\n",
" 2018-06-25 226.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 545.0\n",
" 2018-08-13 556.0\n",
" 2018-08-20 559.0\n",
" 2018-08-27 527.0\n",
" 2018-09-03 725.0\n",
" 2018-09-10 872.0\n",
" 2018-09-17 803.0\n",
" 2018-09-24 135.0\n",
" 2018-10-01 43.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 2123.0\n",
" 2018-10-22 660.0\n",
" 2018-10-29 1966.0\n",
" 2018-11-05 99.0\n",
"Scott, Rick REPUBLICAN 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 197.0\n",
" 2018-09-24 242.0\n",
" 2018-10-01 150.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 240.0\n",
" 2018-10-29 329.0\n",
" 2018-11-05 4.0\n",
"Sherman, Howard DEMOCRAT 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-18 0.0\n",
"Simon, Neal OTHER 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-09-10 82.0\n",
" 2018-09-17 157.0\n",
" 2018-09-24 43.0\n",
" 2018-10-01 14.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 247.0\n",
" 2018-10-22 42.0\n",
" 2018-10-29 1.0\n",
"Sinema, Kyrsten DEMOCRAT 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 141.0\n",
" 2018-10-29 496.0\n",
" 2018-11-05 18.0\n",
"Smith, Tina DEMOCRAT 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Stabenow, Debbie DEMOCRAT 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 0.0\n",
" 2017-12-04 0.0\n",
" 2018-08-13 818.0\n",
" 2018-08-20 747.0\n",
" 2018-08-27 644.0\n",
" 2018-09-03 6.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 171.0\n",
" 2018-10-08 183.0\n",
" 2018-10-15 19.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Stewart, Corey REPUBLICAN 2018-06-04 515.0\n",
" 2018-06-11 7.0\n",
" 2018-10-22 418.0\n",
" 2018-10-29 1110.0\n",
" 2018-11-05 37.0\n",
"Strage, Luther REPUBLICAN 2017-09-11 88.0\n",
" 2017-09-18 673.0\n",
" 2017-09-25 60.0\n",
"Strange, Luther REPUBLICAN 2017-05-15 214.0\n",
" 2017-05-22 190.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-06-19 0.0\n",
" 2017-06-26 344.0\n",
" 2017-07-03 405.0\n",
" 2017-07-10 1069.0\n",
" 2017-07-17 341.0\n",
" 2017-07-31 561.0\n",
" 2017-08-07 1311.0\n",
" 2017-08-14 158.0\n",
" 2017-09-11 725.0\n",
" 2017-09-18 1299.0\n",
" 2017-09-25 94.0\n",
"Tester, Jon DEMOCRAT 2017-04-17 6.0\n",
" 2017-04-24 14.0\n",
" 2017-05-01 12.0\n",
" 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
" 2017-08-21 0.0\n",
" 2017-08-28 0.0\n",
" 2017-09-04 0.0\n",
" 2017-09-11 0.0\n",
" 2017-09-18 0.0\n",
" 2017-09-25 0.0\n",
" 2017-10-02 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-12-04 0.0\n",
" 2017-12-11 0.0\n",
" 2017-12-18 0.0\n",
" 2018-03-12 1086.0\n",
" 2018-03-19 1184.0\n",
" 2018-03-26 409.0\n",
" 2018-04-02 238.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 5.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 267.0\n",
" 2018-10-01 148.0\n",
" 2018-10-08 1.0\n",
" 2018-10-15 3.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Trooien, Jerry OTHER 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Vukmir, Leah REPUBLICAN 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-14 243.0\n",
" 2018-05-21 379.0\n",
" 2018-05-28 152.0\n",
" 2018-07-09 387.0\n",
" 2018-07-16 551.0\n",
" 2018-07-23 488.0\n",
" 2018-07-30 361.0\n",
" 2018-08-06 558.0\n",
" 2018-08-13 65.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 19.0\n",
" 2018-09-17 12.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Whitehouse, Sheldon DEMOCRAT 2018-09-03 151.0\n",
" 2018-09-10 150.0\n",
" 2018-09-17 222.0\n",
" 2018-09-24 200.0\n",
" 2018-10-01 2.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 275.0\n",
" 2018-10-29 327.0\n",
" 2018-11-05 20.0\n",
"Wicker, Roger REPUBLICAN 2017-12-11 0.0\n",
" 2017-12-18 0.0\n",
" 2018-03-12 446.0\n",
" 2018-03-19 542.0\n",
" 2018-03-26 189.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 71.0\n",
" 2018-10-15 343.0\n",
" 2018-10-22 22.0\n",
" 2018-10-29 7.0\n",
" 2018-11-05 0.0\n",
"Wilson, Jenny DEMOCRAT 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Zupan, Lawrence REPUBLICAN 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Name: prsment, dtype: float64\n"
]
}
],
"source": [
"per_candidate_groups = only_candidate_ads.groupby(['cand_id', 'party', pd.Grouper(key='Date', freq='W-MON')])\n",
"with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
" #print(per_candidate_groups['prsment'].sum())\n",
" \n",
" \n",
" # TODO: Check if this aggregation is correct. \n",
" #Are any of the following mentioned or pictured in the ad?\n",
" # 0 No\n",
" # 1 Yes, in a way to show approval or support\n",
" # 2 Yes, in a way to show disapproval or opposition \n",
" # 3 Yes, unclear whether in support or opposition \n",
" #prsment: Is Barack Obama mentioned or pictured in the ad?\n",
" \n",
" # Find the number of nonzero elements in each group: https://stackoverflow.com/questions/51540495/pandas-groupby-count-the-number-of-zeros-in-a-column\n",
" print(per_candidate_groups['prsment'].agg(lambda x: x.ne(0).sum()))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "clinical-louisiana",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dict_keys([('Brooks, Mo', Timestamp('2017-01-09 00:00:00')), ('Brooks, Mo', Timestamp('2017-01-16 00:00:00')), ('Brooks, Mo', Timestamp('2017-01-23 00:00:00')), ('Brooks, Mo', Timestamp('2017-01-30 00:00:00')), ('Brooks, Mo', Timestamp('2017-02-20 00:00:00')), ('Brooks, Mo', Timestamp('2017-02-27 00:00:00')), ('Brooks, Mo', Timestamp('2017-03-06 00:00:00')), ('Brooks, Mo', Timestamp('2017-03-27 00:00:00')), ('Brooks, Mo', Timestamp('2017-04-03 00:00:00')), ('Brooks, Mo', Timestamp('2017-04-17 00:00:00')), ('Brooks, Mo', Timestamp('2017-04-24 00:00:00')), ('Brooks, Mo', Timestamp('2017-05-01 00:00:00')), ('Brooks, Mo', Timestamp('2017-05-15 00:00:00')), ('Brooks, Mo', Timestamp('2017-05-22 00:00:00')), ('Brooks, Mo', Timestamp('2017-05-29 00:00:00')), ('Brooks, Mo', Timestamp('2017-06-05 00:00:00')), ('Brooks, Mo', Timestamp('2017-06-12 00:00:00')), ('Brooks, Mo', Timestamp('2017-06-19 00:00:00')), ('Brooks, Mo', Timestamp('2017-06-26 00:00:00')), ('Brooks, Mo', Timestamp('2017-07-03 00:00:00')), ('Brooks, Mo', Timestamp('2017-07-10 00:00:00')), ('Brooks, Mo', Timestamp('2017-07-17 00:00:00')), ('Brooks, Mo', Timestamp('2017-07-24 00:00:00')), ('Brooks, Mo', Timestamp('2017-07-31 00:00:00')), ('Brooks, Mo', Timestamp('2017-08-07 00:00:00')), ('Brooks, Mo', Timestamp('2017-08-14 00:00:00')), ('Brooks, Mo', Timestamp('2017-08-21 00:00:00')), ('Brooks, Mo', Timestamp('2017-08-28 00:00:00')), ('Brooks, Mo', Timestamp('2017-09-04 00:00:00')), ('Brooks, Mo', Timestamp('2017-09-11 00:00:00')), ('Brooks, Mo', Timestamp('2017-09-18 00:00:00')), ('Brooks, Mo', Timestamp('2017-09-25 00:00:00')), ('Brooks, Mo', Timestamp('2017-10-02 00:00:00')), ('Brooks, Mo', Timestamp('2017-10-09 00:00:00')), ('Brooks, Mo', Timestamp('2017-10-16 00:00:00')), ('Brooks, Mo', Timestamp('2017-10-23 00:00:00')), ('Brooks, Mo', Timestamp('2017-10-30 00:00:00')), ('Brooks, Mo', Timestamp('2017-11-06 00:00:00')), ('Brooks, Mo', Timestamp('2017-11-13 00:00:00')), ('Brooks, Mo', Timestamp('2017-11-20 00:00:00')), ('Brooks, Mo', Timestamp('2017-11-27 00:00:00')), ('Brooks, Mo', Timestamp('2017-12-04 00:00:00')), ('Brooks, Mo', Timestamp('2017-12-11 00:00:00')), ('Brooks, Mo', Timestamp('2017-12-18 00:00:00')), ('Brooks, Mo', Timestamp('2017-12-25 00:00:00')), ('Brooks, Mo', Timestamp('2018-01-01 00:00:00')), ('Brooks, Mo', Timestamp('2018-01-08 00:00:00')), ('Brooks, Mo', Timestamp('2018-01-15 00:00:00')), ('Brooks, Mo', Timestamp('2018-01-22 00:00:00')), ('Brooks, Mo', Timestamp('2018-01-29 00:00:00')), ('Brooks, Mo', Timestamp('2018-02-05 00:00:00')), ('Brooks, Mo', Timestamp('2018-02-12 00:00:00')), ('Brooks, Mo', Timestamp('2018-02-19 00:00:00')), ('Brooks, Mo', Timestamp('2018-02-26 00:00:00')), ('Brooks, Mo', Timestamp('2018-03-05 00:00:00')), ('Brooks, Mo', Timestamp('2018-03-12 00:00:00')), ('Brooks, Mo', Timestamp('2018-03-19 00:00:00')), ('Brooks, Mo', Timestamp('2018-03-26 00:00:00')), ('Brooks, Mo', Timestamp('2018-04-02 00:00:00')), ('Brooks, Mo', Timestamp('2018-04-09 00:00:00')), ('Brooks, Mo', Timestamp('2018-04-16 00:00:00')), ('Brooks, Mo', Timestamp('2018-04-23 00:00:00')), ('Brooks, Mo', Timestamp('2018-04-30 00:00:00')), ('Brooks, Mo', Timestamp('2018-05-07 00:00:00')), ('Brooks, Mo', Timestamp('2018-05-14 00:00:00')), ('Brooks, Mo', Timestamp('2018-05-21 00:00:00')), ('Brooks, Mo', Timestamp('2018-05-28 00:00:00')), ('Brooks, Mo', Timestamp('2018-06-04 00:00:00')), ('Brooks, Mo', Timestamp('2018-06-11 00:00:00')), ('Brooks, Mo', Timestamp('2018-06-18 00:00:00')), ('Brooks, Mo', Timestamp('2018-06-25 00:00:00')), ('Brooks, Mo', Timestamp('2018-07-02 00:00:00')), ('Brooks, Mo', Timestamp('2018-07-09 00:00:00')), ('Brooks, Mo', Timestamp('2018-07-16 00:00:00')), ('Brooks, Mo', Timestamp('2018-07-23 00:00:00')), ('Brooks, Mo', Timestamp('2018-07-30 00:00:00')), ('Brooks, Mo', Timestamp('2018-08-06 00:00:00')), ('Brooks, Mo', Timestamp('2018-08-13 00:00:00')), ('Brooks, Mo', Timestamp('2018-08-20 00:00:00')), ('Brooks, Mo', Timestamp('2018-08-27 00:00:00')), ('Brooks, Mo', Timestamp('2018-09-03 00:00:00')), ('Brooks, Mo', Timestamp('2018-09-10 00:00:00')), ('Brooks, Mo', Timestamp('2018-09-17 00:00:00')), ('Brooks, Mo', Timestamp('2018-09-24 00:00:00')), ('Brooks, Mo', Timestamp('2018-10-01 00:00:00')), ('Brooks, Mo', Timestamp('2018-10-08 00:00:00')), ('Brooks, Mo', Timestamp('2018-10-15 00:00:00')), ('Brooks, Mo', Timestamp('2018-10-22 00:00:00')), ('Brooks, Mo', Timestamp('2018-10-29 00:00:00')), ('Brooks, Mo', Timestamp('2018-11-05 00:00:00'))])\n"
]
}
],
"source": [
"keys = per_candidate_groups.groups.keys()\n",
"print(keys)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "sufficient-generation",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Aalders, Tim', 'Aalders, Tim', 'Baldwin, Tammy', 'Baldwin, Tammy',\n",
" 'Baldwin, Tammy', 'Baldwin, Tammy', 'Baldwin, Tammy', 'Baldwin, Tammy',\n",
" 'Baldwin, Tammy', 'Baldwin, Tammy'],\n",
" dtype='object', name='cand_id')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"candidate_names = per_candidate_groups['prsment'].sum().index.get_level_values(0)\n",
"candidate_names[0:10]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "collaborative-arlington",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2018-10-15', '2018-10-22', '2017-05-22', '2017-05-29',\n",
" '2017-06-05', '2017-10-23', '2017-10-30', '2017-11-06',\n",
" '2017-11-13', '2018-02-05'],\n",
" dtype='datetime64[ns]', name='Date', freq=None)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dates = per_candidate_groups['prsment'].sum().index.get_level_values(1)\n",
"dates[0:10]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "electoral-cabin",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('Aalders, Tim', Timestamp('2018-10-15 00:00:00')),\n",
" ('Aalders, Tim', Timestamp('2018-10-22 00:00:00')),\n",
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" ('Noren, Scott', Timestamp('2018-10-15 00:00:00')),\n",
" ('Noren, Scott', Timestamp('2018-10-22 00:00:00')),\n",
" ('Noren, Scott', Timestamp('2018-10-29 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-08-13 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-08-20 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-08-27 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-09-03 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-09-10 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-09-17 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-09-24 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-10-01 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-10-08 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-10-15 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-10-22 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-10-29 00:00:00')),\n",
" (\"O'Rourke, Beto\", Timestamp('2018-11-05 00:00:00')),\n",
" ('Olszewski, Al', Timestamp('2018-05-28 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-01-29 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-03-05 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-03-12 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-03-19 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-03-26 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-04-02 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-04-09 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-04-16 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-04-23 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-04-30 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-05-07 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-05-21 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-05-28 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-06-04 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-06-11 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-06-18 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-06-25 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-07-02 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-07-09 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-07-16 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-07-23 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-07-30 00:00:00')),\n",
" ('Pensler, Sandy', Timestamp('2018-08-06 00:00:00')),\n",
" ('Pittman, Trip', Timestamp('2017-07-31 00:00:00')),\n",
" ('Pittman, Trip', Timestamp('2017-08-07 00:00:00')),\n",
" ('Pittman, Trip', Timestamp('2017-08-14 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-07-16 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-07-23 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-08-20 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-08-27 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-09-03 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-09-10 00:00:00')),\n",
" ('Raybould, Jane', Timestamp('2018-09-17 00:00:00')),\n",
" ('Renacci, Jim', Timestamp('2018-04-16 00:00:00')),\n",
" ('Renacci, Jim', Timestamp('2018-04-23 00:00:00')),\n",
" ('Renacci, Jim', Timestamp('2018-04-30 00:00:00')),\n",
" ('Renacci, Jim', Timestamp('2018-05-07 00:00:00')),\n",
" ('Ringelstein, Zak', Timestamp('2018-10-15 00:00:00')),\n",
" ('Ringelstein, Zak', Timestamp('2018-10-22 00:00:00')),\n",
" ('Ringelstein, Zak', Timestamp('2018-10-29 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-03-26 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-04-02 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-04-09 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-04-16 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-04-23 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-04-30 00:00:00')),\n",
" ('Rokita, Todd', Timestamp('2018-05-07 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-05-28 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-06-04 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-06-11 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-06-18 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-06-25 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-10-08 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-10-15 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-10-22 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-10-29 00:00:00')),\n",
" ('Romney, Mitt', Timestamp('2018-11-05 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-04-16 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-04-23 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-04-30 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-05-07 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-05-14 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-05-21 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-05-28 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-06-04 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-06-11 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-06-18 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-06-25 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-07-02 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-07-09 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-07-16 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-07-23 00:00:00')),\n",
" ('Rosen, Jacky', Timestamp('2018-07-30 00:00:00')),\n",
" ...]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"keys = list(zip(candidate_names, dates))\n",
"keys"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "behind-cornell",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\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>creative</th>\n",
" <th>market</th>\n",
" <th>dma</th>\n",
" <th>l</th>\n",
" <th>station</th>\n",
" <th>affiliate</th>\n",
" <th>airdate</th>\n",
" <th>airtime</th>\n",
" <th>media</th>\n",
" <th>daypart</th>\n",
" <th>...</th>\n",
" <th>prob_quest</th>\n",
" <th>prob_oth_txt</th>\n",
" <th>prob_quest_txt</th>\n",
" <th>spanish</th>\n",
" <th>vidfile</th>\n",
" <th>codingstatus</th>\n",
" <th>gov</th>\n",
" <th>house</th>\n",
" <th>senate</th>\n",
" <th>Date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1149302</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KSTU</td>\n",
" <td>FOX</td>\n",
" <td>2018-10-21</td>\n",
" <td>09:28:08</td>\n",
" <td>Spot TV</td>\n",
" <td>EARLY MORNING</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
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" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1149304</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KSTU</td>\n",
" <td>FOX</td>\n",
" <td>2018-10-19</td>\n",
" <td>12:21:27</td>\n",
" <td>Spot TV</td>\n",
" <td>DAYTIME</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1149305</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KUTV</td>\n",
" <td>CBS</td>\n",
" <td>2018-10-20</td>\n",
" <td>06:29:40</td>\n",
" <td>Spot TV</td>\n",
" <td>EARLY MORNING</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1149306</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KSTU</td>\n",
" <td>FOX</td>\n",
" <td>2018-10-22</td>\n",
" <td>11:23:57</td>\n",
" <td>Spot TV</td>\n",
" <td>DAYTIME</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-15</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4 rows × 202 columns</p>\n",
"</div>"
],
"text/plain": [
" creative market dma l station \\\n",
"1149302 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KSTU \n",
"1149304 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KSTU \n",
"1149305 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KUTV \n",
"1149306 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KSTU \n",
"\n",
" affiliate airdate airtime media daypart ... \\\n",
"1149302 FOX 2018-10-21 09:28:08 Spot TV EARLY MORNING ... \n",
"1149304 FOX 2018-10-19 12:21:27 Spot TV DAYTIME ... \n",
"1149305 CBS 2018-10-20 06:29:40 Spot TV EARLY MORNING ... \n",
"1149306 FOX 2018-10-22 11:23:57 Spot TV DAYTIME ... \n",
"\n",
" prob_quest prob_oth_txt prob_quest_txt spanish \\\n",
"1149302 NaN 0 \n",
"1149304 NaN 0 \n",
"1149305 NaN 0 \n",
"1149306 NaN 0 \n",
"\n",
" vidfile codingstatus gov house senate \\\n",
"1149302 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"1149304 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"1149305 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"1149306 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"\n",
" Date \n",
"1149302 2018-10-14 \n",
"1149304 2018-10-12 \n",
"1149305 2018-10-13 \n",
"1149306 2018-10-15 \n",
"\n",
"[4 rows x 202 columns]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"per_candidate_groups.get_group(keys[0])"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "preceding-morning",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.0"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"per_candidate_groups.get_group(keys[0])['prsment'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "aggressive-internet",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.0"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"per_candidate_groups.get_group(keys[1])['prsment'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "ef5a2592",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('Aalders, Tim', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Aalders, Tim', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 5, 22, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 5, 29, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 6, 5, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 10, 23, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 10, 30, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 11, 6, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2017, 11, 13, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 2, 5, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 2, 12, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 2, 19, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 2, 26, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 7, 2, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Baldwin, Tammy', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Baria, David', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Baria, David', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Baria, David', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Baria, David', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Barletta, Lou', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Blackburn, Marsha', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Blackenship, Don', datetime.datetime(2018, 2, 19, 0, 0)),\n",
" ('Blackenship, Don', datetime.datetime(2018, 2, 26, 0, 0)),\n",
" ('Blackenship, Don', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Blackenship, Don', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Blackenship, Don', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 9, 4, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 9, 11, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 9, 18, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 9, 25, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 10, 2, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 10, 9, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 10, 30, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 11, 6, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2017, 11, 13, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 1, 1, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 1, 8, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 1, 15, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 1, 22, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 1, 29, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 2, 5, 0, 0)),\n",
" ('Blankenship, Don', datetime.datetime(2018, 2, 12, 0, 0)),\n",
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" ('Downing, Troy', datetime.datetime(2018, 6, 4, 0, 0)),\n",
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" ('Fagg, Russ', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Fagg, Russ', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Feinstein, Dianne', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Feinstein, Dianne', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('Feinstein, Dianne', datetime.datetime(2018, 5, 21, 0, 0)),\n",
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" ('Feinstein, Dianne', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Feinstein, Dianne', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Feinstein, Dianne', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Feinstein, Dianne', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Fischer, Deb', datetime.datetime(2018, 10, 22, 0, 0)),\n",
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" ('Jenkins, Evan', datetime.datetime(2018, 5, 7, 0, 0)),\n",
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" ('Jones, Doug', datetime.datetime(2017, 12, 11, 0, 0)),\n",
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" ('Kaine, Tim', datetime.datetime(2018, 10, 1, 0, 0)),\n",
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" ('Kaine, Tim', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Kaine, Tim', datetime.datetime(2018, 11, 5, 0, 0)),\n",
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" ('Kennedy, Mike', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Kennedy, Mike', datetime.datetime(2018, 6, 25, 0, 0)),\n",
" ('Kiley, Dan', datetime.datetime(2018, 4, 2, 0, 0)),\n",
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" ('Kiley, Dan', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('King, Angus', datetime.datetime(2018, 10, 8, 0, 0)),\n",
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" ('King, Angus', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('King, Angus', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('King, Angus', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Kingston, John', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Kingston, John', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Kingston, John', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Kingston, John', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Klobuchar, Amy', datetime.datetime(2018, 9, 3, 0, 0)),\n",
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" ('Klobuchar, Amy', datetime.datetime(2018, 10, 22, 0, 0)),\n",
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" ('Klobuchar, Amy', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Knepper, Howard', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Knepper, Howard', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Knepper, Howard', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Macek, Dennis Frank', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Macek, Dennis Frank', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2017, 6, 5, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2017, 6, 12, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2017, 6, 19, 0, 0)),\n",
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" ('Manchin, Joe', datetime.datetime(2017, 11, 27, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2017, 12, 4, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2017, 12, 11, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 2, 19, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 2, 26, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 7, 2, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Manchin, Joe', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Marvin, Larry', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Marvin, Larry', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 5, 22, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 5, 29, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 6, 5, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 6, 12, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 6, 19, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 10, 16, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2017, 10, 23, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 2, 12, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 2, 19, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 2, 26, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('McCaskill, Claire', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('McDaniel, Chris', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('McDaniel, Chris', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('McDaniel, Chris', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('McDaniel, Chris', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 2, 5, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('McSally, Martha', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Menendez, Bob', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Messer, Luke', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 7, 24, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 7, 31, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 8, 7, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 8, 14, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 9, 4, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 9, 11, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 9, 18, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 9, 25, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 11, 6, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 11, 13, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 11, 20, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 11, 27, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 12, 4, 0, 0)),\n",
" ('Moore, Roy', datetime.datetime(2017, 12, 11, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Morrisey, Patrick', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Murphy, Chris', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 6, 25, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Nelson, Bill', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2017, 10, 16, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2017, 10, 23, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2017, 10, 30, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2017, 11, 6, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2017, 11, 13, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2017, 11, 20, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 1, 1, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 1, 8, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 1, 15, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Nicholson, Kevin', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Noren, Scott', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 8, 13, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 8, 20, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 8, 27, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 9, 3, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 9, 10, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 9, 17, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 9, 24, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 10, 1, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 10, 8, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 10, 15, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 10, 22, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 10, 29, 0, 0)),\n",
" (\"O'Rourke, Beto\", datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Olszewski, Al', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 1, 29, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 6, 25, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 7, 2, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Pensler, Sandy', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Pittman, Trip', datetime.datetime(2017, 7, 31, 0, 0)),\n",
" ('Pittman, Trip', datetime.datetime(2017, 8, 7, 0, 0)),\n",
" ('Pittman, Trip', datetime.datetime(2017, 8, 14, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Raybould, Jane', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Renacci, Jim', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Renacci, Jim', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Renacci, Jim', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Renacci, Jim', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Ringelstein, Zak', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Ringelstein, Zak', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Ringelstein, Zak', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Rokita, Todd', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 6, 25, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Romney, Mitt', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 6, 25, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 7, 2, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Rosen, Jacky', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ...]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"keys_datetime = [(k[0], k[1].to_pydatetime()) for k in keys]\n",
"keys_datetime"
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "215288a0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"cand_id categorystate party Date \n",
"Aalders, Tim UT CONSTITUTION 2018-10-15 4.0\n",
" 2018-10-22 1.0\n",
"Baldwin, Tammy WI DEMOCRAT 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-10-23 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2018-02-05 0.0\n",
" 2018-02-12 0.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Baria, David MS DEMOCRAT 2018-10-08 472.0\n",
" 2018-10-15 300.0\n",
" 2018-10-22 8.0\n",
" 2018-10-29 2.0\n",
"Barletta, Lou PA REPUBLICAN 2018-08-20 65.0\n",
" 2018-08-27 33.0\n",
" 2018-09-03 153.0\n",
" 2018-09-10 187.0\n",
" 2018-09-17 107.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 17.0\n",
" 2018-10-08 83.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 109.0\n",
" 2018-11-05 46.0\n",
"Blackburn, Marsha TN REPUBLICAN 2018-07-30 0.0\n",
" 2018-08-06 522.0\n",
" 2018-08-13 597.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 499.0\n",
" 2018-09-17 894.0\n",
" 2018-09-24 1075.0\n",
" 2018-10-01 1493.0\n",
" 2018-10-08 1439.0\n",
" 2018-10-15 1657.0\n",
" 2018-10-22 2083.0\n",
" 2018-10-29 3653.0\n",
" 2018-11-05 214.0\n",
"Blackenship, Don WV REPUBLICAN 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-03-05 0.0\n",
" 2018-04-16 63.0\n",
" 2018-04-23 20.0\n",
"Blankenship, Don WV REPUBLICAN 2017-09-04 0.0\n",
" 2017-09-11 0.0\n",
" 2017-09-18 0.0\n",
" 2017-09-25 0.0\n",
" 2017-10-02 0.0\n",
" 2017-10-09 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2018-01-01 0.0\n",
" 2018-01-08 0.0\n",
" 2018-01-15 32.0\n",
" 2018-01-22 273.0\n",
" 2018-01-29 5.0\n",
" 2018-02-05 0.0\n",
" 2018-02-12 0.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 16.0\n",
" 2018-03-05 58.0\n",
" 2018-03-12 9.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 136.0\n",
" 2018-04-23 840.0\n",
" 2018-04-30 378.0\n",
" 2018-05-07 156.0\n",
"Brakey, Eric ME REPUBLICAN 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Braun, Mike IN REPUBLICAN 2017-11-06 142.0\n",
" 2017-11-13 156.0\n",
" 2017-11-20 6.0\n",
" 2017-11-27 262.0\n",
" 2017-12-04 461.0\n",
" 2017-12-11 446.0\n",
" 2017-12-18 440.0\n",
" 2017-12-25 171.0\n",
" 2018-01-01 1.0\n",
" 2018-01-08 97.0\n",
" 2018-01-15 145.0\n",
" 2018-01-22 102.0\n",
" 2018-01-29 120.0\n",
" 2018-02-05 24.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 462.0\n",
" 2018-04-30 1031.0\n",
" 2018-05-07 112.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 1054.0\n",
" 2018-09-17 150.0\n",
" 2018-09-24 164.0\n",
" 2018-10-01 718.0\n",
" 2018-10-08 1122.0\n",
" 2018-10-15 289.0\n",
" 2018-10-22 119.0\n",
" 2018-10-29 1247.0\n",
" 2018-11-05 150.0\n",
"Bredesen, Phil TN DEMOCRAT 2018-02-26 0.0\n",
" 2018-03-05 96.0\n",
" 2018-03-12 445.0\n",
" 2018-03-19 414.0\n",
" 2018-03-26 424.0\n",
" 2018-04-02 381.0\n",
" 2018-05-21 42.0\n",
" 2018-05-28 170.0\n",
" 2018-06-04 106.0\n",
" 2018-06-11 117.0\n",
" 2018-06-18 90.0\n",
" 2018-06-25 831.0\n",
" 2018-07-02 419.0\n",
" 2018-07-09 401.0\n",
" 2018-07-16 448.0\n",
" 2018-07-23 231.0\n",
" 2018-07-30 119.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 284.0\n",
" 2018-08-27 204.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 12.0\n",
" 2018-09-24 598.0\n",
" 2018-10-01 8.0\n",
" 2018-10-08 4.0\n",
" 2018-10-15 462.0\n",
" 2018-10-22 1973.0\n",
" 2018-10-29 503.0\n",
" 2018-11-05 40.0\n",
"Brooks, Mo AL REPUBLICAN 2017-07-10 22.0\n",
" 2017-07-17 273.0\n",
" 2017-07-24 0.0\n",
" 2017-07-31 1039.0\n",
" 2017-08-07 1323.0\n",
" 2017-08-14 47.0\n",
"Brown, Sherrod OH DEMOCRAT 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
" OTHER 2017-01-09 2.0\n",
" 2017-01-23 2.0\n",
"Bryant, Dave WA REPUBLICAN 2018-07-16 2.0\n",
" 2018-07-23 18.0\n",
" 2018-07-30 19.0\n",
"Campbell, Tom ND REPUBLICAN 2017-08-14 161.0\n",
" 2017-08-21 265.0\n",
" 2017-08-28 0.0\n",
" 2017-09-04 0.0\n",
" 2017-09-11 66.0\n",
" 2017-09-18 116.0\n",
" 2017-09-25 88.0\n",
" 2017-10-02 0.0\n",
" 2017-10-09 0.0\n",
" 2017-12-18 18.0\n",
" 2017-12-25 70.0\n",
" 2018-01-01 71.0\n",
" 2018-01-08 1.0\n",
"Cantwell, Maria WA DEMOCRAT 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Cardin, Ben MD DEMOCRAT 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 146.0\n",
" 2018-10-22 459.0\n",
" 2018-10-29 624.0\n",
" 2018-11-05 44.0\n",
"Casey, Bob PA DEMOCRAT 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
" REPUBLICAN 2017-01-23 108.0\n",
" 2017-01-30 67.0\n",
"Corey, Matt CT REPUBLICAN 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Corker, Bob TN OTHER 2017-06-05 41.0\n",
" 2017-06-12 273.0\n",
" 2017-06-19 242.0\n",
" 2017-06-26 103.0\n",
"Cramer, Kevin ND REPUBLICAN 2018-05-28 87.0\n",
" 2018-06-04 305.0\n",
" 2018-06-11 262.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 47.0\n",
" 2018-07-16 222.0\n",
" 2018-07-23 201.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 48.0\n",
" 2018-10-01 362.0\n",
" 2018-10-08 385.0\n",
" 2018-10-15 107.0\n",
" 2018-10-22 416.0\n",
" 2018-10-29 827.0\n",
" 2018-11-05 36.0\n",
"Cruz, Ted TX REPUBLICAN 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"De Leon, Kevin CA DEMOCRAT 2018-05-21 8.0\n",
" 2018-05-28 43.0\n",
"Diehl, Geoff MA REPUBLICAN 2018-10-29 0.0\n",
"Donnelly, Joe IN DEMOCRAT 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
" 2017-08-21 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2018-02-12 0.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 24.0\n",
" 2018-07-23 449.0\n",
" 2018-07-30 496.0\n",
" 2018-08-06 603.0\n",
" 2018-08-13 630.0\n",
" 2018-08-20 649.0\n",
" 2018-08-27 716.0\n",
" 2018-09-03 937.0\n",
" 2018-09-10 818.0\n",
" 2018-09-17 2.0\n",
" 2018-09-24 13.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 1768.0\n",
" 2018-10-15 2317.0\n",
" 2018-10-22 1817.0\n",
" 2018-10-29 450.0\n",
" 2018-11-05 36.0\n",
" REPUBLICAN 2018-04-16 86.0\n",
" 2018-04-23 42.0\n",
" 2018-08-06 105.0\n",
" 2018-08-13 130.0\n",
" 2018-08-20 128.0\n",
" 2018-08-27 103.0\n",
" 2018-09-03 55.0\n",
" 2018-09-10 1.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Downing, Troy MT REPUBLICAN 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 309.0\n",
" 2017-12-04 229.0\n",
" 2018-03-26 204.0\n",
" 2018-04-02 223.0\n",
" 2018-04-09 203.0\n",
" 2018-04-16 214.0\n",
" 2018-04-23 203.0\n",
" 2018-04-30 214.0\n",
" 2018-05-07 238.0\n",
" 2018-05-14 298.0\n",
" 2018-05-21 298.0\n",
" 2018-05-28 346.0\n",
" 2018-06-04 17.0\n",
"Espy, Mike MS DEMOCRAT 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Fagg, Russ MT REPUBLICAN 2018-04-30 465.0\n",
" 2018-05-07 13.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
"Feinstein, Dianne CA DEMOCRAT 2018-05-07 916.0\n",
" 2018-05-14 1080.0\n",
" 2018-05-21 1522.0\n",
" 2018-05-28 2132.0\n",
" 2018-06-04 100.0\n",
" 2018-10-22 853.0\n",
" 2018-10-29 2290.0\n",
" 2018-11-05 89.0\n",
"Fischer, Deb NE DEMOCRAT 2018-10-01 0.0\n",
" REPUBLICAN 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Fisher, Jason AL DEMOCRAT 2017-07-31 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
"Flake, Jeff AZ DEMOCRAT 2017-01-16 3.0\n",
" 2017-03-27 53.0\n",
" 2017-04-03 28.0\n",
" 2017-07-17 6.0\n",
" REPUBLICAN 2017-02-20 0.0\n",
" 2017-02-27 0.0\n",
" 2017-03-06 0.0\n",
"Flanders, Bob RI REPUBLICAN 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 122.0\n",
" 2018-09-24 126.0\n",
" 2018-10-01 19.0\n",
" 2018-10-29 166.0\n",
" 2018-11-05 30.0\n",
"Freitas, Nick VA REPUBLICAN 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
"Gibbons, Mike OH REPUBLICAN 2018-04-16 0.0\n",
" 2018-04-23 248.0\n",
" 2018-04-30 330.0\n",
" 2018-05-07 3.0\n",
"Hartson, Alison CA DEMOCRAT 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
"Hatch, Orrin UT REPUBLICAN 2017-02-20 0.0\n",
" 2017-02-27 0.0\n",
" 2017-03-06 0.0\n",
"Hawley, Josh MO DEMOCRAT 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" REPUBLICAN 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-08-06 760.0\n",
" 2018-08-13 426.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 411.0\n",
" 2018-10-22 1649.0\n",
" 2018-10-29 794.0\n",
" 2018-11-05 10.0\n",
"Heidel, Jack NE REPUBLICAN 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
"Heinrich, Martin NM DEMOCRAT 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 70.0\n",
" 2018-09-24 123.0\n",
" 2018-10-01 158.0\n",
" 2018-10-08 161.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Heitkamp, Heidi ND DEMOCRAT 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
" 2017-08-21 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 197.0\n",
" 2018-06-18 159.0\n",
" 2018-06-25 118.0\n",
" 2018-07-02 152.0\n",
" 2018-07-09 185.0\n",
" 2018-07-16 293.0\n",
" 2018-07-23 164.0\n",
" 2018-07-30 206.0\n",
" 2018-08-06 190.0\n",
" 2018-08-13 43.0\n",
" 2018-08-20 162.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 180.0\n",
" 2018-10-01 160.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 439.0\n",
" 2018-11-05 5.0\n",
" REPUBLICAN 2018-08-06 144.0\n",
" 2018-08-13 169.0\n",
" 2018-08-20 172.0\n",
" 2018-08-27 166.0\n",
" 2018-09-03 60.0\n",
"Heller, Dean NV DEMOCRAT 2017-04-24 0.0\n",
" 2017-07-03 44.0\n",
" 2017-07-10 737.0\n",
" 2017-07-17 6.0\n",
" 2017-07-24 0.0\n",
" OTHER 2017-01-16 54.0\n",
" 2017-01-23 22.0\n",
" REPUBLICAN 2017-02-20 0.0\n",
" 2017-02-27 0.0\n",
" 2017-03-06 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 9.0\n",
" 2017-11-13 116.0\n",
" 2017-11-20 287.0\n",
" 2017-11-27 236.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 4.0\n",
" 2018-06-18 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Hirono, Mazie HI DEMOCRAT 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Housley, Karin MN REPUBLICAN 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Hugin, Bob NJ REPUBLICAN 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 992.0\n",
" 2018-11-05 112.0\n",
"Hutchison, Susan WA REPUBLICAN 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Hyde-Smith, Cindy MS REPUBLICAN 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-09-17 407.0\n",
" 2018-09-24 468.0\n",
" 2018-10-01 164.0\n",
" 2018-10-08 582.0\n",
" 2018-10-15 674.0\n",
" 2018-10-22 670.0\n",
" 2018-10-29 715.0\n",
" 2018-11-05 75.0\n",
"James, John MI REPUBLICAN 2018-07-09 156.0\n",
" 2018-07-16 287.0\n",
" 2018-07-23 362.0\n",
" 2018-07-30 559.0\n",
" 2018-08-06 34.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 3.0\n",
" 2018-11-05 0.0\n",
"Janicek, Chris NE DEMOCRAT 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
"Jenkins, Evan WV REPUBLICAN 2018-04-02 492.0\n",
" 2018-04-09 775.0\n",
" 2018-04-16 941.0\n",
" 2018-04-23 1166.0\n",
" 2018-04-30 857.0\n",
" 2018-05-07 164.0\n",
"Johnson, Gary NM LIBERTARIAN 2018-10-01 0.0\n",
" 2018-10-15 0.0\n",
"Jones, Doug AL DEMOCRAT 2017-10-02 0.0\n",
" 2017-10-09 0.0\n",
" 2017-10-16 0.0\n",
" 2017-10-23 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 0.0\n",
" 2017-12-04 0.0\n",
" 2017-12-11 0.0\n",
"Kaine, Tim VA DEMOCRAT 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 300.0\n",
" 2018-10-22 731.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Kennedy, Mike UT REPUBLICAN 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
"Kiley, Dan OH REPUBLICAN 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
"King, Angus ME OTHER 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Kingston, John MA REPUBLICAN 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
"Klobuchar, Amy MN DEMOCRAT 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Knepper, Howard FL REPUBLICAN 2018-09-03 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-29 0.0\n",
"Macek, Dennis Frank NE REPUBLICAN 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
"Manchin, Joe WV DEMOCRAT 2017-06-05 58.0\n",
" 2017-06-12 586.0\n",
" 2017-06-19 458.0\n",
" 2017-11-27 132.0\n",
" 2017-12-04 184.0\n",
" 2017-12-11 47.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-11 1233.0\n",
" 2018-06-18 40.0\n",
" 2018-07-02 62.0\n",
" 2018-07-09 189.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 233.0\n",
" 2018-10-22 1057.0\n",
" 2018-10-29 10.0\n",
" 2018-11-05 0.0\n",
" REPUBLICAN 2017-11-06 57.0\n",
" 2017-11-13 82.0\n",
" 2017-11-20 66.0\n",
" 2017-11-27 64.0\n",
" 2018-04-16 49.0\n",
" 2018-04-23 10.0\n",
" 2018-08-06 181.0\n",
" 2018-08-13 196.0\n",
" 2018-08-20 195.0\n",
" 2018-08-27 4.0\n",
"Marvin, Larry NE DEMOCRAT 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
"McCaskill, Claire MO DEMOCRAT 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-06-19 0.0\n",
" 2018-02-12 0.0\n",
" 2018-02-19 0.0\n",
" 2018-02-26 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 67.0\n",
" 2018-04-09 82.0\n",
" 2018-04-16 68.0\n",
" 2018-04-23 41.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 41.0\n",
" 2018-10-08 2012.0\n",
" 2018-10-15 951.0\n",
" 2018-10-22 63.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
" REPUBLICAN 2017-10-16 8.0\n",
" 2017-10-23 2.0\n",
" 2018-05-14 219.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
"McDaniel, Chris MS REPUBLICAN 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
"McSally, Martha AZ REPUBLICAN 2018-02-05 2.0\n",
" 2018-07-30 502.0\n",
" 2018-08-06 762.0\n",
" 2018-08-13 435.0\n",
" 2018-08-20 161.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Menendez, Bob NJ DEMOCRAT 2018-08-20 18.0\n",
" 2018-08-27 13.0\n",
" 2018-09-03 25.0\n",
" 2018-09-10 7.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 251.0\n",
" 2018-10-08 409.0\n",
" 2018-10-15 154.0\n",
" 2018-10-22 255.0\n",
" 2018-10-29 382.0\n",
" 2018-11-05 79.0\n",
"Messer, Luke IN REPUBLICAN 2018-03-05 239.0\n",
" 2018-03-12 312.0\n",
" 2018-03-19 330.0\n",
" 2018-03-26 435.0\n",
" 2018-04-02 667.0\n",
" 2018-04-09 426.0\n",
" 2018-04-16 287.0\n",
" 2018-04-23 569.0\n",
" 2018-04-30 592.0\n",
" 2018-05-07 9.0\n",
"Moore, Roy AL REPUBLICAN 2017-07-24 222.0\n",
" 2017-07-31 370.0\n",
" 2017-08-07 501.0\n",
" 2017-08-14 44.0\n",
" 2017-09-04 0.0\n",
" 2017-09-11 56.0\n",
" 2017-09-18 0.0\n",
" 2017-09-25 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 361.0\n",
" 2017-12-04 1221.0\n",
" 2017-12-11 72.0\n",
"Morrisey, Patrick WV REPUBLICAN 2018-03-12 129.0\n",
" 2018-03-19 274.0\n",
" 2018-03-26 262.0\n",
" 2018-04-02 145.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 432.0\n",
" 2018-04-30 895.0\n",
" 2018-05-07 86.0\n",
" 2018-08-13 78.0\n",
" 2018-08-20 464.0\n",
" 2018-08-27 197.0\n",
" 2018-09-03 806.0\n",
" 2018-09-10 861.0\n",
" 2018-09-17 948.0\n",
" 2018-09-24 550.0\n",
" 2018-10-01 708.0\n",
" 2018-10-08 905.0\n",
" 2018-10-15 1232.0\n",
" 2018-10-22 1607.0\n",
" 2018-10-29 2542.0\n",
" 2018-11-05 195.0\n",
"Murphy, Chris CT DEMOCRAT 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 23.0\n",
" 2018-10-08 142.0\n",
" 2018-10-15 139.0\n",
" 2018-10-22 100.0\n",
" 2018-10-29 48.0\n",
" 2018-11-05 11.0\n",
"Nelson, Bill FL DEMOCRAT 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 48.0\n",
" 2018-09-17 85.0\n",
" 2018-09-24 80.0\n",
" 2018-10-01 122.0\n",
" 2018-10-08 150.0\n",
" 2018-10-15 420.0\n",
" 2018-10-22 660.0\n",
" 2018-10-29 928.0\n",
" 2018-11-05 78.0\n",
"Nicholson, Kevin WI REPUBLICAN 2017-10-16 0.0\n",
" 2017-10-23 0.0\n",
" 2017-10-30 0.0\n",
" 2017-11-06 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2018-01-01 0.0\n",
" 2018-01-08 0.0\n",
" 2018-01-15 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-16 214.0\n",
" 2018-04-23 457.0\n",
" 2018-04-30 242.0\n",
" 2018-07-09 24.0\n",
" 2018-07-16 70.0\n",
" 2018-07-23 90.0\n",
" 2018-07-30 289.0\n",
" 2018-08-06 325.0\n",
" 2018-08-13 47.0\n",
"Noren, Scott NY DEMOCRAT 2018-03-19 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
"O'Rourke, Beto TX DEMOCRAT 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 25.0\n",
" 2018-11-05 34.0\n",
"Olszewski, Al MT REPUBLICAN 2018-05-28 0.0\n",
"Pensler, Sandy MI REPUBLICAN 2018-01-29 0.0\n",
" 2018-03-05 0.0\n",
" 2018-03-12 0.0\n",
" 2018-03-19 0.0\n",
" 2018-03-26 0.0\n",
" 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 150.0\n",
" 2018-04-30 235.0\n",
" 2018-05-07 23.0\n",
" 2018-05-21 65.0\n",
" 2018-05-28 17.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 13.0\n",
" 2018-06-18 30.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 228.0\n",
" 2018-07-16 389.0\n",
" 2018-07-23 827.0\n",
" 2018-07-30 899.0\n",
" 2018-08-06 78.0\n",
"Pittman, Trip AL REPUBLICAN 2017-07-31 86.0\n",
" 2017-08-07 183.0\n",
" 2017-08-14 2.0\n",
"Raybould, Jane NE DEMOCRAT 2018-07-16 16.0\n",
" 2018-07-23 9.0\n",
" 2018-08-20 265.0\n",
" 2018-08-27 278.0\n",
" 2018-09-03 141.0\n",
" 2018-09-10 12.0\n",
" 2018-09-17 6.0\n",
"Renacci, Jim OH REPUBLICAN 2018-04-16 85.0\n",
" 2018-04-23 82.0\n",
" 2018-04-30 235.0\n",
" 2018-05-07 3.0\n",
"Ringelstein, Zak ME DEMOCRAT 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
"Rokita, Todd IN REPUBLICAN 2018-03-26 239.0\n",
" 2018-04-02 398.0\n",
" 2018-04-09 477.0\n",
" 2018-04-16 769.0\n",
" 2018-04-23 974.0\n",
" 2018-04-30 1291.0\n",
" 2018-05-07 99.0\n",
"Romney, Mitt UT REPUBLICAN 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Rosen, Jacky NV DEMOCRAT 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 10.0\n",
" 2018-06-18 8.0\n",
" 2018-06-25 6.0\n",
" 2018-07-02 77.0\n",
" 2018-07-09 81.0\n",
" 2018-07-16 76.0\n",
" 2018-07-23 245.0\n",
" 2018-07-30 690.0\n",
" 2018-08-06 443.0\n",
" 2018-08-13 326.0\n",
" 2018-08-20 208.0\n",
" 2018-08-27 80.0\n",
" 2018-09-03 79.0\n",
" 2018-09-10 77.0\n",
" 2018-09-17 83.0\n",
" 2018-09-24 296.0\n",
" 2018-10-01 797.0\n",
" 2018-10-08 774.0\n",
" 2018-10-15 1102.0\n",
" 2018-10-22 1190.0\n",
" 2018-10-29 979.0\n",
" 2018-11-05 74.0\n",
"Rosendale, Matt MT REPUBLICAN 2018-03-19 154.0\n",
" 2018-03-26 358.0\n",
" 2018-04-02 321.0\n",
" 2018-04-09 163.0\n",
" 2018-04-30 166.0\n",
" 2018-05-07 146.0\n",
" 2018-05-14 190.0\n",
" 2018-05-21 227.0\n",
" 2018-05-28 232.0\n",
" 2018-06-04 22.0\n",
" 2018-06-11 212.0\n",
" 2018-06-18 226.0\n",
" 2018-06-25 226.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 545.0\n",
" 2018-08-13 556.0\n",
" 2018-08-20 559.0\n",
" 2018-08-27 527.0\n",
" 2018-09-03 725.0\n",
" 2018-09-10 872.0\n",
" 2018-09-17 803.0\n",
" 2018-09-24 135.0\n",
" 2018-10-01 43.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 2123.0\n",
" 2018-10-22 660.0\n",
" 2018-10-29 1966.0\n",
" 2018-11-05 99.0\n",
"Scott, Rick FL REPUBLICAN 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 197.0\n",
" 2018-09-24 242.0\n",
" 2018-10-01 150.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 240.0\n",
" 2018-10-29 329.0\n",
" 2018-11-05 4.0\n",
"Sherman, Howard MS DEMOCRAT 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-18 0.0\n",
"Simon, Neal MD OTHER 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-09-10 82.0\n",
" 2018-09-17 157.0\n",
" 2018-09-24 43.0\n",
" 2018-10-01 14.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 247.0\n",
" 2018-10-22 42.0\n",
" 2018-10-29 1.0\n",
"Sinema, Kyrsten AZ DEMOCRAT 2018-04-02 0.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 141.0\n",
" 2018-10-29 496.0\n",
" 2018-11-05 18.0\n",
"Smith, Tina MN DEMOCRAT 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-06-18 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Stabenow, Debbie MI DEMOCRAT 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-11-27 0.0\n",
" 2017-12-04 0.0\n",
" 2018-08-13 818.0\n",
" 2018-08-20 747.0\n",
" 2018-08-27 644.0\n",
" 2018-09-03 6.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 171.0\n",
" 2018-10-08 183.0\n",
" 2018-10-15 19.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Stewart, Corey VA REPUBLICAN 2018-06-04 515.0\n",
" 2018-06-11 7.0\n",
" 2018-10-22 418.0\n",
" 2018-10-29 1110.0\n",
" 2018-11-05 37.0\n",
"Strage, Luther AL REPUBLICAN 2017-09-11 88.0\n",
" 2017-09-18 673.0\n",
" 2017-09-25 60.0\n",
"Strange, Luther AL REPUBLICAN 2017-05-15 214.0\n",
" 2017-05-22 190.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-06-19 0.0\n",
" 2017-06-26 344.0\n",
" 2017-07-03 405.0\n",
" 2017-07-10 1069.0\n",
" 2017-07-17 341.0\n",
" 2017-07-31 561.0\n",
" 2017-08-07 1311.0\n",
" 2017-08-14 158.0\n",
" 2017-09-11 725.0\n",
" 2017-09-18 1299.0\n",
" 2017-09-25 94.0\n",
"Tester, Jon MT DEMOCRAT 2017-04-17 6.0\n",
" 2017-04-24 14.0\n",
" 2017-05-01 12.0\n",
" 2017-05-22 0.0\n",
" 2017-05-29 0.0\n",
" 2017-06-05 0.0\n",
" 2017-06-12 0.0\n",
" 2017-08-07 0.0\n",
" 2017-08-14 0.0\n",
" 2017-08-21 0.0\n",
" 2017-08-28 0.0\n",
" 2017-09-04 0.0\n",
" 2017-09-11 0.0\n",
" 2017-09-18 0.0\n",
" 2017-09-25 0.0\n",
" 2017-10-02 0.0\n",
" 2017-11-13 0.0\n",
" 2017-11-20 0.0\n",
" 2017-12-04 0.0\n",
" 2017-12-11 0.0\n",
" 2017-12-18 0.0\n",
" 2018-03-12 1086.0\n",
" 2018-03-19 1184.0\n",
" 2018-03-26 409.0\n",
" 2018-04-02 238.0\n",
" 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-07 0.0\n",
" 2018-05-14 0.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-25 0.0\n",
" 2018-07-02 0.0\n",
" 2018-07-09 0.0\n",
" 2018-07-16 0.0\n",
" 2018-07-23 0.0\n",
" 2018-07-30 0.0\n",
" 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-08-20 0.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 5.0\n",
" 2018-09-10 0.0\n",
" 2018-09-17 0.0\n",
" 2018-09-24 267.0\n",
" 2018-10-01 148.0\n",
" 2018-10-08 1.0\n",
" 2018-10-15 3.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Trooien, Jerry MN OTHER 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Vukmir, Leah WI REPUBLICAN 2018-04-09 0.0\n",
" 2018-04-16 0.0\n",
" 2018-04-23 0.0\n",
" 2018-04-30 0.0\n",
" 2018-05-14 243.0\n",
" 2018-05-21 379.0\n",
" 2018-05-28 152.0\n",
" 2018-07-09 387.0\n",
" 2018-07-16 551.0\n",
" 2018-07-23 488.0\n",
" 2018-07-30 361.0\n",
" 2018-08-06 558.0\n",
" 2018-08-13 65.0\n",
" 2018-08-27 0.0\n",
" 2018-09-03 0.0\n",
" 2018-09-10 19.0\n",
" 2018-09-17 12.0\n",
" 2018-09-24 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Whitehouse, Sheldon RI DEMOCRAT 2018-09-03 151.0\n",
" 2018-09-10 150.0\n",
" 2018-09-17 222.0\n",
" 2018-09-24 200.0\n",
" 2018-10-01 2.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 275.0\n",
" 2018-10-29 327.0\n",
" 2018-11-05 20.0\n",
"Wicker, Roger MS REPUBLICAN 2017-12-11 0.0\n",
" 2017-12-18 0.0\n",
" 2018-03-12 446.0\n",
" 2018-03-19 542.0\n",
" 2018-03-26 189.0\n",
" 2018-05-21 0.0\n",
" 2018-05-28 0.0\n",
" 2018-06-04 0.0\n",
" 2018-06-11 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 71.0\n",
" 2018-10-15 343.0\n",
" 2018-10-22 22.0\n",
" 2018-10-29 7.0\n",
" 2018-11-05 0.0\n",
"Wilson, Jenny UT DEMOCRAT 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Zupan, Lawrence VT REPUBLICAN 2018-08-06 0.0\n",
" 2018-08-13 0.0\n",
" 2018-10-01 0.0\n",
" 2018-10-08 0.0\n",
" 2018-10-15 0.0\n",
" 2018-10-22 0.0\n",
" 2018-10-29 0.0\n",
" 2018-11-05 0.0\n",
"Name: prsment, dtype: float64\n"
]
}
],
"source": [
"per_candidate_groups_per_state = only_candidate_ads.groupby(['cand_id', 'categorystate', 'party', pd.Grouper(key='Date', freq='W-MON')])\n",
"with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
" #print(per_candidate_groups_per_state['prsment'].sum())\n",
" \n",
" # TODO: Check if this aggregation is correct. \n",
" #Are any of the following mentioned or pictured in the ad?\n",
" # 0 No\n",
" # 1 Yes, in a way to show approval or support\n",
" # 2 Yes, in a way to show disapproval or opposition \n",
" # 3 Yes, unclear whether in support or opposition \n",
" #prsment: Is Barack Obama mentioned or pictured in the ad?\n",
" \n",
" # Find the number of nonzero elements in each group: https://stackoverflow.com/questions/51540495/pandas-groupby-count-the-number-of-zeros-in-a-column\n",
" print(per_candidate_groups_per_state['prsment'].agg(lambda x: x.ne(0).sum()))"
]
},
{
"cell_type": "code",
"execution_count": 84,
"id": "dfdb0724",
"metadata": {},
"outputs": [],
"source": [
"candidate_names = per_candidate_groups_per_state['prsment'].sum().index.get_level_values(0)\n",
"states = per_candidate_groups_per_state['prsment'].sum().index.get_level_values(1)\n",
"parties = per_candidate_groups_per_state['prsment'].sum().index.get_level_values(2)\n",
"dates = per_candidate_groups_per_state['prsment'].sum().index.get_level_values(3)\n",
"keys = list(zip(candidate_names, states, parties, dates))\n"
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "8dfe6c22",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" 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>creative</th>\n",
" <th>market</th>\n",
" <th>dma</th>\n",
" <th>l</th>\n",
" <th>station</th>\n",
" <th>affiliate</th>\n",
" <th>airdate</th>\n",
" <th>airtime</th>\n",
" <th>media</th>\n",
" <th>daypart</th>\n",
" <th>...</th>\n",
" <th>prob_quest</th>\n",
" <th>prob_oth_txt</th>\n",
" <th>prob_quest_txt</th>\n",
" <th>spanish</th>\n",
" <th>vidfile</th>\n",
" <th>codingstatus</th>\n",
" <th>gov</th>\n",
" <th>house</th>\n",
" <th>senate</th>\n",
" <th>Date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1149302</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KSTU</td>\n",
" <td>FOX</td>\n",
" <td>2018-10-21</td>\n",
" <td>09:28:08</td>\n",
" <td>Spot TV</td>\n",
" <td>EARLY MORNING</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1149304</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KSTU</td>\n",
" <td>FOX</td>\n",
" <td>2018-10-19</td>\n",
" <td>12:21:27</td>\n",
" <td>Spot TV</td>\n",
" <td>DAYTIME</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1149305</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KUTV</td>\n",
" <td>CBS</td>\n",
" <td>2018-10-20</td>\n",
" <td>06:29:40</td>\n",
" <td>Spot TV</td>\n",
" <td>EARLY MORNING</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1149306</th>\n",
" <td>USSEN/UT AALDERS TRUE CONSERVATIVE</td>\n",
" <td>SALT LAKE CITY</td>\n",
" <td>770</td>\n",
" <td>30</td>\n",
" <td>KSTU</td>\n",
" <td>FOX</td>\n",
" <td>2018-10-22</td>\n",
" <td>11:23:57</td>\n",
" <td>Spot TV</td>\n",
" <td>DAYTIME</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>USSEN_UT_AALDERS_TRUE_CONSERVATIVE</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2018-10-15</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4 rows × 202 columns</p>\n",
"</div>"
],
"text/plain": [
" creative market dma l station \\\n",
"1149302 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KSTU \n",
"1149304 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KSTU \n",
"1149305 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KUTV \n",
"1149306 USSEN/UT AALDERS TRUE CONSERVATIVE SALT LAKE CITY 770 30 KSTU \n",
"\n",
" affiliate airdate airtime media daypart ... \\\n",
"1149302 FOX 2018-10-21 09:28:08 Spot TV EARLY MORNING ... \n",
"1149304 FOX 2018-10-19 12:21:27 Spot TV DAYTIME ... \n",
"1149305 CBS 2018-10-20 06:29:40 Spot TV EARLY MORNING ... \n",
"1149306 FOX 2018-10-22 11:23:57 Spot TV DAYTIME ... \n",
"\n",
" prob_quest prob_oth_txt prob_quest_txt spanish \\\n",
"1149302 NaN 0 \n",
"1149304 NaN 0 \n",
"1149305 NaN 0 \n",
"1149306 NaN 0 \n",
"\n",
" vidfile codingstatus gov house senate \\\n",
"1149302 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"1149304 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"1149305 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"1149306 USSEN_UT_AALDERS_TRUE_CONSERVATIVE 1 0 0 1 \n",
"\n",
" Date \n",
"1149302 2018-10-14 \n",
"1149304 2018-10-12 \n",
"1149305 2018-10-13 \n",
"1149306 2018-10-15 \n",
"\n",
"[4 rows x 202 columns]"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"per_candidate_groups_per_state.get_group(keys[0])"
]
},
{
"cell_type": "code",
"execution_count": 86,
"id": "c23875a8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.0"
]
},
"execution_count": 86,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"per_candidate_groups_per_state.get_group(keys[1])['prsment'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 87,
"id": "253b086f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('Aalders, Tim', 'UT', 'CONSTITUTION', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Aalders, Tim', 'UT', 'CONSTITUTION', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 5, 22, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 5, 29, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 6, 5, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 10, 23, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 10, 30, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 11, 6, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2017, 11, 13, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 2, 5, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 2, 12, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 2, 19, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 2, 26, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 5, 14, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 7, 2, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Baldwin, Tammy', 'WI', 'DEMOCRAT', datetime.datetime(2018, 10, 1, 0, 0)),\n",
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" ('Braun, Mike', 'IN', 'REPUBLICAN', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 2, 26, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 3, 12, 0, 0)),\n",
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" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 6, 4, 0, 0)),\n",
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" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 6, 18, 0, 0)),\n",
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" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 7, 23, 0, 0)),\n",
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" ('Bredesen, Phil', 'TN', 'DEMOCRAT', datetime.datetime(2018, 8, 6, 0, 0)),\n",
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" ('Brown, Sherrod', 'OH', 'DEMOCRAT', datetime.datetime(2018, 8, 27, 0, 0)),\n",
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" ('Brown, Sherrod', 'OH', 'DEMOCRAT', datetime.datetime(2018, 10, 1, 0, 0)),\n",
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" ('Brown, Sherrod', 'OH', 'DEMOCRAT', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Brown, Sherrod', 'OH', 'DEMOCRAT', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Brown, Sherrod', 'OH', 'OTHER', datetime.datetime(2017, 1, 9, 0, 0)),\n",
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" ('Campbell, Tom', 'ND', 'REPUBLICAN', datetime.datetime(2017, 8, 14, 0, 0)),\n",
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" 'REPUBLICAN',\n",
" datetime.datetime(2018, 1, 15, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Nicholson, Kevin', 'WI', 'REPUBLICAN', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Nicholson, Kevin', 'WI', 'REPUBLICAN', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Nicholson, Kevin',\n",
" 'WI',\n",
" 'REPUBLICAN',\n",
" datetime.datetime(2018, 8, 13, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Noren, Scott', 'NY', 'DEMOCRAT', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 8, 13, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 9, 24, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 10, 1, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 10, 8, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" (\"O'Rourke, Beto\", 'TX', 'DEMOCRAT', datetime.datetime(2018, 11, 5, 0, 0)),\n",
" ('Olszewski, Al', 'MT', 'REPUBLICAN', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 1, 29, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 3, 5, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 3, 12, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 3, 19, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 5, 21, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 5, 28, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 6, 4, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 6, 11, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 6, 18, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 6, 25, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 7, 2, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 7, 9, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 7, 30, 0, 0)),\n",
" ('Pensler, Sandy', 'MI', 'REPUBLICAN', datetime.datetime(2018, 8, 6, 0, 0)),\n",
" ('Pittman, Trip', 'AL', 'REPUBLICAN', datetime.datetime(2017, 7, 31, 0, 0)),\n",
" ('Pittman, Trip', 'AL', 'REPUBLICAN', datetime.datetime(2017, 8, 7, 0, 0)),\n",
" ('Pittman, Trip', 'AL', 'REPUBLICAN', datetime.datetime(2017, 8, 14, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 7, 16, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 7, 23, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 8, 20, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 8, 27, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 9, 3, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 9, 10, 0, 0)),\n",
" ('Raybould, Jane', 'NE', 'DEMOCRAT', datetime.datetime(2018, 9, 17, 0, 0)),\n",
" ('Renacci, Jim', 'OH', 'REPUBLICAN', datetime.datetime(2018, 4, 16, 0, 0)),\n",
" ('Renacci, Jim', 'OH', 'REPUBLICAN', datetime.datetime(2018, 4, 23, 0, 0)),\n",
" ('Renacci, Jim', 'OH', 'REPUBLICAN', datetime.datetime(2018, 4, 30, 0, 0)),\n",
" ('Renacci, Jim', 'OH', 'REPUBLICAN', datetime.datetime(2018, 5, 7, 0, 0)),\n",
" ('Ringelstein, Zak', 'ME', 'DEMOCRAT', datetime.datetime(2018, 10, 15, 0, 0)),\n",
" ('Ringelstein, Zak', 'ME', 'DEMOCRAT', datetime.datetime(2018, 10, 22, 0, 0)),\n",
" ('Ringelstein, Zak', 'ME', 'DEMOCRAT', datetime.datetime(2018, 10, 29, 0, 0)),\n",
" ('Rokita, Todd', 'IN', 'REPUBLICAN', datetime.datetime(2018, 3, 26, 0, 0)),\n",
" ('Rokita, Todd', 'IN', 'REPUBLICAN', datetime.datetime(2018, 4, 2, 0, 0)),\n",
" ('Rokita, Todd', 'IN', 'REPUBLICAN', datetime.datetime(2018, 4, 9, 0, 0)),\n",
" ...]"
]
},
"execution_count": 87,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"keys_datetime = [(k[0], k[1], k[2], k[3].to_pydatetime()) for k in keys]\n",
"keys_datetime"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "53100704",
"metadata": {},
"outputs": [],
"source": [
"primary_dates = pd.read_csv(r'/Users/ashanktomar/Documents/comm_research/Trump Political Ads Research/PoliticalAds_2018/Data/primarydates.csv')"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "9607027a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>State Abbreviation</th>\n",
" <th>Party</th>\n",
" <th>Date of Primary Election</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>TX</td>\n",
" <td>Democrat</td>\n",
" <td>2018-03-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>IN</td>\n",
" <td>Democrat</td>\n",
" <td>2018-03-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>OH</td>\n",
" <td>Democrat</td>\n",
" <td>2018-03-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>WV</td>\n",
" <td>Democrat</td>\n",
" <td>2018-03-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NE</td>\n",
" <td>Democrat</td>\n",
" <td>2018-03-15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>PA</td>\n",
" <td>Democrat</td>\n",
" <td>2018-03-15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>MS</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>MT</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>NJ</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>NM</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>ME</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>NV</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>ND</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>VA</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-12</td>\n",
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" <tr>\n",
" <th>14</th>\n",
" <td>MD</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>UT</td>\n",
" <td>Democrat</td>\n",
" <td>2018-06-26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>TN</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>MI</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>MO</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>HI</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>CT</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>MN</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>VT</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>WI</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>WY</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>AZ</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>FL</td>\n",
" <td>Democrat</td>\n",
" <td>2018-08-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>MA</td>\n",
" <td>Democrat</td>\n",
" <td>2018-09-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>DE</td>\n",
" <td>Democrat</td>\n",
" <td>2018-09-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>NY</td>\n",
" <td>Democrat</td>\n",
" <td>2018-09-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>RI</td>\n",
" <td>Democrat</td>\n",
" <td>2018-09-12</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" State Abbreviation Party Date of Primary Election\n",
"0 TX Democrat 2018-03-06\n",
"1 IN Democrat 2018-03-08\n",
"2 OH Democrat 2018-03-08\n",
"3 WV Democrat 2018-03-08\n",
"4 NE Democrat 2018-03-15\n",
"5 PA Democrat 2018-03-15\n",
"6 MS Democrat 2018-06-05\n",
"7 MT Democrat 2018-06-05\n",
"8 NJ Democrat 2018-06-05\n",
"9 NM Democrat 2018-06-05\n",
"10 ME Democrat 2018-06-12\n",
"11 NV Democrat 2018-06-12\n",
"12 ND Democrat 2018-06-12\n",
"13 VA Democrat 2018-06-12\n",
"14 MD Democrat 2018-06-26\n",
"15 UT Democrat 2018-06-26\n",
"16 TN Democrat 2018-08-02\n",
"17 MI Democrat 2018-08-07\n",
"18 MO Democrat 2018-08-07\n",
"19 HI Democrat 2018-08-11\n",
"20 CT Democrat 2018-08-14\n",
"21 MN Democrat 2018-08-14\n",
"22 VT Democrat 2018-08-14\n",
"23 WI Democrat 2018-08-14\n",
"24 WY Democrat 2018-08-21\n",
"25 AZ Democrat 2018-08-28\n",
"26 FL Democrat 2018-08-28\n",
"27 MA Democrat 2018-09-04\n",
"28 DE Democrat 2018-09-06\n",
"29 NY Democrat 2018-09-06\n",
"30 RI Democrat 2018-09-12"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"primary_dates['Date of Primary Election'] = pd.to_datetime(primary_dates['Date of Primary Election'])\n",
"primary_dates = primary_dates.drop_duplicates(subset=['State Abbreviation'], keep='first')\n",
"primary_dates = primary_dates.reset_index(drop=True)\n",
"primary_dates['Date of Primary Election'] = primary_dates['Date of Primary Election'].dt.to_pydatetime()#pd.to_datetime(primary_dates['Date of Primary Election'])\n",
"primary_dates"
]
},
{
"cell_type": "code",
"execution_count": 88,
"id": "f2156543",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'Aalders, Tim UT CONSTITUTION': [(datetime.datetime(2018, 10, 15, 0, 0), 4), (datetime.datetime(2018, 10, 22, 0, 0), 1)], 'Baldwin, Tammy WI DEMOCRAT': [(datetime.datetime(2017, 5, 22, 0, 0), 0), (datetime.datetime(2017, 5, 29, 0, 0), 0), (datetime.datetime(2017, 6, 5, 0, 0), 0), (datetime.datetime(2017, 10, 23, 0, 0), 0), (datetime.datetime(2017, 10, 30, 0, 0), 0), (datetime.datetime(2017, 11, 6, 0, 0), 0), (datetime.datetime(2017, 11, 13, 0, 0), 0), (datetime.datetime(2018, 2, 5, 0, 0), 0), (datetime.datetime(2018, 2, 12, 0, 0), 0), (datetime.datetime(2018, 2, 19, 0, 0), 0), (datetime.datetime(2018, 2, 26, 0, 0), 0), (datetime.datetime(2018, 3, 5, 0, 0), 0), (datetime.datetime(2018, 3, 12, 0, 0), 0), (datetime.datetime(2018, 3, 19, 0, 0), 0), (datetime.datetime(2018, 3, 26, 0, 0), 0), (datetime.datetime(2018, 4, 2, 0, 0), 0), (datetime.datetime(2018, 4, 9, 0, 0), 0), (datetime.datetime(2018, 4, 16, 0, 0), 0), (datetime.datetime(2018, 4, 23, 0, 0), 0), (datetime.datetime(2018, 4, 30, 0, 0), 0), (datetime.datetime(2018, 5, 7, 0, 0), 0), (datetime.datetime(2018, 5, 14, 0, 0), 0), (datetime.datetime(2018, 5, 21, 0, 0), 0), (datetime.datetime(2018, 5, 28, 0, 0), 0), (datetime.datetime(2018, 6, 4, 0, 0), 0), (datetime.datetime(2018, 6, 11, 0, 0), 0), (datetime.datetime(2018, 6, 18, 0, 0), 0), (datetime.datetime(2018, 7, 2, 0, 0), 0), (datetime.datetime(2018, 7, 9, 0, 0), 0), (datetime.datetime(2018, 7, 16, 0, 0), 0), (datetime.datetime(2018, 7, 23, 0, 0), 0), (datetime.datetime(2018, 7, 30, 0, 0), 0), (datetime.datetime(2018, 8, 6, 0, 0), 0), (datetime.datetime(2018, 8, 13, 0, 0), 0), (datetime.datetime(2018, 8, 20, 0, 0), 0), (datetime.datetime(2018, 8, 27, 0, 0), 0), (datetime.datetime(2018, 9, 3, 0, 0), 0), (datetime.datetime(2018, 9, 10, 0, 0), 0), (datetime.datetime(2018, 9, 17, 0, 0), 0), (datetime.datetime(2018, 9, 24, 0, 0), 0), (datetime.datetime(2018, 10, 1, 0, 0), 0), (datetime.datetime(2018, 10, 8, 0, 0), 0), (datetime.datetime(2018, 10, 15, 0, 0), 0), 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(datetime.datetime(2018, 10, 22, 0, 0), 0), (datetime.datetime(2018, 10, 29, 0, 0), 0), (datetime.datetime(2018, 11, 5, 0, 0), 0)], 'Vukmir, Leah WI REPUBLICAN': [(datetime.datetime(2018, 4, 9, 0, 0), 0), (datetime.datetime(2018, 4, 16, 0, 0), 0), (datetime.datetime(2018, 4, 23, 0, 0), 0), (datetime.datetime(2018, 4, 30, 0, 0), 0), (datetime.datetime(2018, 5, 14, 0, 0), 243), (datetime.datetime(2018, 5, 21, 0, 0), 379), (datetime.datetime(2018, 5, 28, 0, 0), 152), (datetime.datetime(2018, 7, 9, 0, 0), 387), (datetime.datetime(2018, 7, 16, 0, 0), 551), (datetime.datetime(2018, 7, 23, 0, 0), 488), (datetime.datetime(2018, 7, 30, 0, 0), 361), (datetime.datetime(2018, 8, 6, 0, 0), 558), (datetime.datetime(2018, 8, 13, 0, 0), 65), (datetime.datetime(2018, 8, 27, 0, 0), 0), (datetime.datetime(2018, 9, 3, 0, 0), 0), (datetime.datetime(2018, 9, 10, 0, 0), 19), (datetime.datetime(2018, 9, 17, 0, 0), 12), (datetime.datetime(2018, 9, 24, 0, 0), 0), (datetime.datetime(2018, 10, 1, 0, 0), 0), (datetime.datetime(2018, 10, 8, 0, 0), 0), (datetime.datetime(2018, 10, 22, 0, 0), 0), (datetime.datetime(2018, 10, 29, 0, 0), 0), (datetime.datetime(2018, 11, 5, 0, 0), 0)], 'Whitehouse, Sheldon RI DEMOCRAT': [(datetime.datetime(2018, 9, 3, 0, 0), 151), (datetime.datetime(2018, 9, 10, 0, 0), 150), (datetime.datetime(2018, 9, 17, 0, 0), 222), (datetime.datetime(2018, 9, 24, 0, 0), 200), (datetime.datetime(2018, 10, 1, 0, 0), 2), (datetime.datetime(2018, 10, 8, 0, 0), 0), (datetime.datetime(2018, 10, 15, 0, 0), 0), (datetime.datetime(2018, 10, 22, 0, 0), 275), (datetime.datetime(2018, 10, 29, 0, 0), 327), (datetime.datetime(2018, 11, 5, 0, 0), 20)], 'Wicker, Roger MS REPUBLICAN': [(datetime.datetime(2017, 12, 11, 0, 0), 0), (datetime.datetime(2017, 12, 18, 0, 0), 0), (datetime.datetime(2018, 3, 12, 0, 0), 446), (datetime.datetime(2018, 3, 19, 0, 0), 542), (datetime.datetime(2018, 3, 26, 0, 0), 189), (datetime.datetime(2018, 5, 21, 0, 0), 0), (datetime.datetime(2018, 5, 28, 0, 0), 0), (datetime.datetime(2018, 6, 4, 0, 0), 0), (datetime.datetime(2018, 6, 11, 0, 0), 0), (datetime.datetime(2018, 10, 1, 0, 0), 0), (datetime.datetime(2018, 10, 8, 0, 0), 71), (datetime.datetime(2018, 10, 15, 0, 0), 343), (datetime.datetime(2018, 10, 22, 0, 0), 22), (datetime.datetime(2018, 10, 29, 0, 0), 7), (datetime.datetime(2018, 11, 5, 0, 0), 0)], 'Wilson, Jenny UT DEMOCRAT': [(datetime.datetime(2018, 10, 15, 0, 0), 0), (datetime.datetime(2018, 10, 22, 0, 0), 0), (datetime.datetime(2018, 10, 29, 0, 0), 0), (datetime.datetime(2018, 11, 5, 0, 0), 0)], 'Zupan, Lawrence VT REPUBLICAN': [(datetime.datetime(2018, 8, 6, 0, 0), 0), (datetime.datetime(2018, 8, 13, 0, 0), 0), (datetime.datetime(2018, 10, 1, 0, 0), 0), (datetime.datetime(2018, 10, 8, 0, 0), 0), (datetime.datetime(2018, 10, 15, 0, 0), 0), (datetime.datetime(2018, 10, 22, 0, 0), 0), (datetime.datetime(2018, 10, 29, 0, 0), 0), (datetime.datetime(2018, 11, 5, 0, 0), 0)]}\n"
]
}
],
"source": [
"cand_dict = dict()\n",
"for tup in keys_datetime:\n",
" name = tup[0]\n",
" state = tup[1]\n",
" party = tup[2]\n",
" timestamp = tup[3]\n",
" \n",
" key = name + \" \" + state + \" \" + party\n",
" \n",
" if key not in cand_dict:\n",
" cand_dict[key] = [(timestamp, per_candidate_groups_per_state.get_group(tup)['prsment'].agg(lambda x: x.ne(0).sum()))]\n",
" else:\n",
" cand_dict[key].append((timestamp, per_candidate_groups_per_state.get_group(tup)['prsment'].agg(lambda x: x.ne(0).sum())))\n",
" \n",
"print(cand_dict)"
]
},
{
"cell_type": "code",
"execution_count": 89,
"id": "c4332cc1",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Aalders, Tim UT CONSTITUTION', 'Baldwin, Tammy WI DEMOCRAT', 'Baria, David MS DEMOCRAT', 'Barletta, Lou PA REPUBLICAN', 'Blackburn, Marsha TN REPUBLICAN', 'Blackenship, Don WV REPUBLICAN', 'Blankenship, Don WV REPUBLICAN', 'Brakey, Eric ME REPUBLICAN', 'Braun, Mike IN REPUBLICAN', 'Bredesen, Phil TN DEMOCRAT', 'Brooks, Mo AL REPUBLICAN', 'Brown, Sherrod OH DEMOCRAT', 'Brown, Sherrod OH OTHER', 'Bryant, Dave WA REPUBLICAN', 'Campbell, Tom ND REPUBLICAN', 'Cantwell, Maria WA DEMOCRAT', 'Cardin, Ben MD DEMOCRAT', 'Casey, Bob PA DEMOCRAT', 'Casey, Bob PA REPUBLICAN', 'Corey, Matt CT REPUBLICAN', 'Corker, Bob TN OTHER', 'Cramer, Kevin ND REPUBLICAN', 'Cruz, Ted TX REPUBLICAN', 'De Leon, Kevin CA DEMOCRAT', 'Diehl, Geoff MA REPUBLICAN', 'Donnelly, Joe IN DEMOCRAT', 'Donnelly, Joe IN REPUBLICAN', 'Downing, Troy MT REPUBLICAN', 'Espy, Mike MS DEMOCRAT', 'Fagg, Russ MT REPUBLICAN', 'Feinstein, Dianne CA DEMOCRAT', 'Fischer, Deb NE DEMOCRAT', 'Fischer, Deb NE REPUBLICAN', 'Fisher, Jason AL DEMOCRAT', 'Flake, Jeff AZ DEMOCRAT', 'Flake, Jeff AZ REPUBLICAN', 'Flanders, Bob RI REPUBLICAN', 'Freitas, Nick VA REPUBLICAN', 'Gibbons, Mike OH REPUBLICAN', 'Hartson, Alison CA DEMOCRAT', 'Hatch, Orrin UT REPUBLICAN', 'Hawley, Josh MO DEMOCRAT', 'Hawley, Josh MO REPUBLICAN', 'Heidel, Jack NE REPUBLICAN', 'Heinrich, Martin NM DEMOCRAT', 'Heitkamp, Heidi ND DEMOCRAT', 'Heitkamp, Heidi ND REPUBLICAN', 'Heller, Dean NV DEMOCRAT', 'Heller, Dean NV OTHER', 'Heller, Dean NV REPUBLICAN', 'Hirono, Mazie HI DEMOCRAT', 'Housley, Karin MN REPUBLICAN', 'Hugin, Bob NJ REPUBLICAN', 'Hutchison, Susan WA REPUBLICAN', 'Hyde-Smith, Cindy MS REPUBLICAN', 'James, John MI REPUBLICAN', 'Janicek, Chris NE DEMOCRAT', 'Jenkins, Evan WV REPUBLICAN', 'Johnson, Gary NM LIBERTARIAN', 'Jones, Doug AL DEMOCRAT', 'Kaine, Tim VA DEMOCRAT', 'Kennedy, Mike UT REPUBLICAN', 'Kiley, Dan OH REPUBLICAN', 'King, Angus ME OTHER', 'Kingston, John MA REPUBLICAN', 'Klobuchar, Amy MN DEMOCRAT', 'Knepper, Howard FL REPUBLICAN', 'Macek, Dennis Frank NE REPUBLICAN', 'Manchin, Joe WV DEMOCRAT', 'Manchin, Joe WV REPUBLICAN', 'Marvin, Larry NE DEMOCRAT', 'McCaskill, Claire MO DEMOCRAT', 'McCaskill, Claire MO REPUBLICAN', 'McDaniel, Chris MS REPUBLICAN', 'McSally, Martha AZ REPUBLICAN', 'Menendez, Bob NJ DEMOCRAT', 'Messer, Luke IN REPUBLICAN', 'Moore, Roy AL REPUBLICAN', 'Morrisey, Patrick WV REPUBLICAN', 'Murphy, Chris CT DEMOCRAT', 'Nelson, Bill FL DEMOCRAT', 'Nicholson, Kevin WI REPUBLICAN', 'Noren, Scott NY DEMOCRAT', \"O'Rourke, Beto TX DEMOCRAT\", 'Olszewski, Al MT REPUBLICAN', 'Pensler, Sandy MI REPUBLICAN', 'Pittman, Trip AL REPUBLICAN', 'Raybould, Jane NE DEMOCRAT', 'Renacci, Jim OH REPUBLICAN', 'Ringelstein, Zak ME DEMOCRAT', 'Rokita, Todd IN REPUBLICAN', 'Romney, Mitt UT REPUBLICAN', 'Rosen, Jacky NV DEMOCRAT', 'Rosendale, Matt MT REPUBLICAN', 'Scott, Rick FL REPUBLICAN', 'Sherman, Howard MS DEMOCRAT', 'Simon, Neal MD OTHER', 'Sinema, Kyrsten AZ DEMOCRAT', 'Smith, Tina MN DEMOCRAT', 'Stabenow, Debbie MI DEMOCRAT', 'Stewart, Corey VA REPUBLICAN', 'Strage, Luther AL REPUBLICAN', 'Strange, Luther AL REPUBLICAN', 'Tester, Jon MT DEMOCRAT', 'Trooien, Jerry MN OTHER', 'Vukmir, Leah WI REPUBLICAN', 'Whitehouse, Sheldon RI DEMOCRAT', 'Wicker, Roger MS REPUBLICAN', 'Wilson, Jenny UT DEMOCRAT', 'Zupan, Lawrence VT REPUBLICAN']\n"
]
}
],
"source": [
"candidates = list(cand_dict.keys())\n",
"\n",
"print(candidates)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "78d2d4e3",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as mdates\n",
"from datetime import datetime, timedelta"
]
},
{
"cell_type": "code",
"execution_count": 92,
"id": "55ab652a",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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dcsstjBw5kmOOOabbZRi77747zzzzDLfdVsuz2bUp0xC+OlBukBIzsya33Xbb8dxzbU5U16Vde+21dT9nmaHRu2eqmplZzUr1npL0aUl/knS/pGckTahanilxrlUk3S7pcUmPSfpWXn+qpBcljcvLToVjviNpvKQnJe1QJnYza7z22kit+czP36vmkoakA4CLgBnAU8Dzpd9tbjOBb0fEQ5KWAh6UdHPe9ouIOKvq/dcBvkKaKXBF4BZJH48IP1Bo1gT69u3L66+/Tv/+/T3abRdQmU+j+LxKLcq0aXwPeBLYLiJeKvUurYiIl4GX8+/vSHoCWKmdQ3YFroyID4BnJY0HNgHuXdBYzGzBrbzyykyaNKn0/AzWeSoz95VRJtNYDTiuHhlGNUmDgA2A/wBbAEfmks1YUmnkTVKGcl/hsEm0n8mY2UK0yCKLlJoBzrqmMm0ak4DFOtyrJElLAn8Fjo6IqcB5wBrAUFJJ5OyS5ztU0lhJY33HY2ZWX2Uyjd8B+0mq2wDtkhYhZRh/iohrACLi1YiYFRGzgT+QqqAAXgRWKRy+cl43l4g4PyKGRcSwAQMG1CtUMzOjXPXUg8AewP2SfgM8C8zTCB0Rd9ZyMqWWsj8CT0TEzwvrV8jtHQC7A//Nv48GLpf0c1JD+FrA/SXiNzOzBVQm07i18PsFzDuLn/K6WksiWwD7A49KGpfXfRfYR9LQfK6JwNcBIuIxSVcDj5N6Xn3DPafMzBauMplGfYZIzCLiLlofy+qmdo45HTi9nnGYmVntyjwRfnHHe5lZvXjwRmtG9ZxPw8zMurmyw4isIulCSZMkfShpm7x+QF6/cWPCNDOzZlBmjvDVSQ/b7QE8RqHBOyKmAMOAg+sdoJmZNY8yDeGnA7OB9YBpwOSq7TcBO9cpLjMza0Jlqqe2A34bES8wb3dbgOdID9yZmVk3VSbTWJo8wGAbFqVcycXMzLqYMpnGC6RhyduyGdA084ObmVn9lck0rgEOkrReYV0ASNoD2BO4uo6xmZlZkymTaZxOGun2P8BlpAzjREn3kjKLhyk5Iq2ZmXUtNWcaedjyT5PGnRpGGgLkc8AngN8CW0fE9EYEaWZmzaFUw3XOOL4FfEvSAFLGMSU8MbCZWY8w372d8gN9ZmbWg7SbaUhatewJI+L5+Q/HzMyaWUcljYm0/iBfe+o2s5+ZmTWXWqqnpgM3AK6OMjPr4TrKNG4APk+advVG4ELgpjx/t5mZ9TDtdrmNiF1J40mdROpaOxp4QdJPJH18IcRnZmZNpMPnNCJickScGRHrApuTShyHA09IulvSQZKWbHSgZmbW+UpNwhQR90XEocDHgK+RntP4A3BsA2IzM7MmM7/TvW4AbEkawFDAG3WLyMzMmlbND/dJqpQuRgAfB14hDR9yYUQ83ZDozMysqXT0cN8iwC7AgcD2pGc2bgC+DfzDvajMzHqWjkoaLwH9gEeB44DLIuL1hkdlZmZNqaNMoz9pPvBewEhgpKT29o+IWL9OsZmZWZPpqCH8eWAysFSNy9K1vrGkVSTdLulxSY9J+lZe30/SzZKezj+Xzesl6deSxkt6RNKGJT+rmZktoHZLGhExqIHvPRP4dkQ8JGkp4EFJN5Ma2m+NiDMknQicCJxAejJ9rbxsCpyXf5qZ2UIyv11uF1hEvBwRD+Xf3wGeAFYCdgUuzrtdDOyWf98VuCSS+4CPSlph4UZtZtazdVqmUSRpEOnZj/8AAyPi5bzpFWBg/n0l4IXCYZPyOjMzW0g6PdPIQ5D8FTg6zww4R54RsNTQ7JIOlTRW0tgpUzwwr5lZPXVqppGfA/kr8KeIuCavfrVS7ZR/Ts7rXwRWKRy+cl43l4g4PyKGRcSwAQMGNC54M7MeqNMyDaW+u38EnoiInxc2jSY9eU7+eX1h/QG5F9VmwNuFaiwzM1sI5nuO8DrYAtgfeFTSuLzuu8AZwNWSRgLPAXvlbTcBOwHjgfdJT6mbmdlC1GmZRkTcRRrssDXbtrJ/AN9oaFBmZtau0pmGpBWBnYHBedUE4G8RMU/7gpmZdS+lMg1J3yfN4teHuUsJ50g6PSJOq2dwZmbWXGpuCJd0JHAaMA7YDxial/3yupPzPmZm1k2VKWl8E7gf+ExEzCysf0TSX4C78z7n1jE+MzNrImW63K4KXFGVYQAQETOAP+V9zMysmyqTaTxPGsm2LUvlfczMrJsqk2mcC3y9tUECJa0EHAacU6/AzMys+ZRp03gbeBX4n6TLgP/l9WuTGsOfAqZKOqB4UERcUo9Azcys85XJNEYVfj+8le0bVe0DabBBZxpmZt1EmUxj64ZFYWZmXULNmUZE3NHIQMzMrPl1+nwaZmbWdZQdRmQJYF/SPN39mXfAwYiIkXWKzczMmkzNmYakzUlzWvRrZ7cAnGmYmXVTZaqnzgFmA7sC/SKiVytL78aEaWZmzaBM9dQ6wMkRcUOjgjEzs+ZWpqTxMjCjUYGYmVnzK5NpXADsK8lVUGZmPVSZ6qmfACsC90o6D5gIzKreKSLurE9oZmbWbMpkGouTutluRCp1VBOp95RLImZm3VSZTOM3wF7AdcC/gTcbEZCZmTWvMpnGrsCFEXFIo4IxM7PmVqYhXMADjQrEzMyaX5lMYwywaYPiMDOzLqBMpnE0MFzSsZIWbVA8ZmbWxMpkGrcDSwJnAu9Kek7ShKrlmVpPJulCSZMl/bew7lRJL0oal5edCtu+I2m8pCcl7VAibjMzq5MyDeHPk7rU1sso0rzj1TP7/SIiziqukLQO8BVgXdKzIrdI+nhEzPOciJmZNU6ZSZiG1/ONI+JOSYNq3H1X4MqI+AB4VtJ4YBPg3nrGZGZm7WvGSZiOlPRIrr5aNq9bCXihsM+kvM7MzBaiZss0zgPWAIaSBkg8u+wJJB0qaayksVOmTKlzeGZmPVvNmYak2ZJmdbDMXJBgIuLViJgVEbOBP5CqoABeBFYp7LpyXtfaOc6PiGERMWzAgAELEo6ZmVUp0xB+CfM2hPchlQw2BR4Bxi1IMJJWiIiX88vdgUrPqtHA5ZJ+TmoIXwu4f0Hey8zMyivTED6irW2FqWAPr/V8kq4AhgPLSZoEnEJ6DmQoKXOaCHw9v/djkq4GHgdmAt9wzykzs4WvTEmjTRFxj6SLgJ8CW9V4zD6trP5jO/ufDpw+fxGamVk91LMh/GnSsOlmZtZN1TPTGA5Mq+P5zMysydRcPSXpgDY29QO2Az5PO9VLZmbW9ZVp0xhFaqBWK9tmkjKMY+oQk5mZNakymcbWrawL4A3g2Yh4rz4hmZlZs6op05DUG3gWeDci3mhsSGZm1qxqbQhfBJgAjGxgLGZm1uRqyjQiYjrwGuAqKDOzHqxMl9ubgC82KhAzM2t+ZTKN44EVJF0saYikvo0KyszMmlO7DeH52Yw7I2IiMJnUW2p94Kt5e/UhERF1GZrEzMyaT0cX+IuA/UmDB7Y2yq2ZmfUgHWUac4oS7Y1ya2ZmPUOzzdxnZmZNzJmGmZnVrJZG60MlbVfj+SIi/ACgmVk3VUumsWVeahH4qXEzs26rlkzjaOD6BsdhZmZdQC2ZxmsR8VzDIzEzs6bnhnAzM6uZMw0zM6tZR5nGHcCrCyMQMzNrfu22aUREa7P1mZlZD+XqKTMzq5kzDTMzq1mnZRqSLpQ0WdJ/C+v6SbpZ0tP557J5vST9WtJ4SY9I2rCz4jYz68k6s6QxCtixat2JwK0RsRZwa34N8HlgrbwcCpy3kGI0M7OCNhvCJU0Ajo6I0fn1ycA1EfHfto4pIyLulDSoavWuwPD8+8XAGOCEvP6SiAjgPkkflbRCRLxcj1jMrLkNOvHGzg6hLiae8YXODmGBtVfSWBVYqvD6VOBTDY0GBhYygleAgfn3lYAXCvtNyuvMzGwhai/TeBEYUrVuoc3cl0sVpd9P0qGSxkoaO2XKlAZEZmbWc7X3nMb1wPGSdgTeyOtOknRIO8dERGy7APG8Wql2krQCaV5ySBnYKoX9Vs7rWgvgfOB8gGHDhnl6WjOzOmov0zgBeBPYDliNdNc/APhIA+MZDXwNOCP/vL6w/khJVwKbAm+7PcPMbOFrM9OIiGnAKXlB0mxSw/jl9XhjSVeQGr2XkzQpv88ZwNWSRgLPAXvl3W8CdgLGA+8DB9YjBjMzK6eWodErDgTuqdcbR8Q+bWyap3ort298o17vbWZm86fmTCMiLq78Lqk/sHp++WxEvF7vwMzMrPmUerhP0vqS7iA1UP8nL5MljZHU6O64ZmbWyWouaUhaD7gL6EtqoH4sb1oX2Bn4t6TNI+KxNk5hZmZdXJk2jR8AM4AtIuKR4oacodyZ99mjfuGZmVkzKVM9tSXwm+oMAyAPLfJbYKt6BWZmZs2nTKaxBGloj7a8nPcxM7NuqkymMQH4Yjvbv5j3MTOzbqpMpnEJsIOkyyWtK6l3XtaT9Cdge9Jw52Zm1k2VaQg/C9gQ+AqwNzA7r+8FCLgaOLuu0ZmZWVMp83DfLGBvSRcAu9HycN8E4LqIuKX+4ZmZWTMpU9IAICJuBm5uQCxmZtbkOnO6VzMz62KcaZiZWc2caZiZWc2caZiZWc2caZiZWc1qyjQkLS7pAEmbNjogMzNrXrWWND4A/gBs0MBYzMysydWUaUTEbOAFYOnGhmNmZs2sTJvGxcD+khZrVDBmZtbcyjwRfg/wJWCcpN8CTwPvV+8UEXfWKTYzM2syZTKN4tAhvwKiarvyut4LGpSZmTWnMpnGgQ2LwszMuoQyo9xe3MhAzMys+fnhPjMzq1mpTEPSKpIulDRJ0oeStsnrB+T1GzcmTDMzawY1V09JWh24D+ibf65Q2RYRUyQNAw4GHljQoCRNBN4BZgEzI2KYpH7AVcAgYCKwV0S8uaDvZWZmtStT0jidNMXresB+pN5SRTcBn6lTXABbR8TQiBiWX58I3BoRawG35tdmZrYQlck0tgN+GxEvMG93W4DngJXrElXrdiU9YEj+uVsD38vMzFpRJtNYGni5ne2LMh/Tx7YhgH9JelDSoXndwIiovP8rwMDWDpR0qKSxksZOmTKlTuGYmRmUu8i/AKzbzvbNgPELFs4cn4mIFyUtD9ws6X/FjRERklor7RAR5wPnAwwbNqzVfczMbP6UKWlcAxwkab3CugCQtAewJ3B1PYKKiBfzz8nAtcAmwKuSVsjvtwIwuR7vZWZmtSvbED4J+A9wGSnDOFHSvaTM4mHg7AUNSNISkpaq/A5sD/wXGA18Le/2NeD6BX0vMzMrp8wT4VMlfRr4IbAvqffU54C3gN8C34uI6XWIaSBwraRKfJdHxD8kPQBcLWkkqdF9rzq8l5mZlVCq4ToipgLfAr4laQAp45gSEXVrO4iICcD6rax/Hdi2Xu9jZmblzXdvp4hw16Q6GXTijZ0dQl1MPOMLnR2CmTVY6UxD0l7A7sDgvGoCcG1E1KUR3MzMmleZYUSWAK4DtiFVS72VN20M7CXp68AuEfFenWM0M7MmUbb31LbAOcCKEdEvIvoBK+Z1W+d9zMysmyqTaewN/Dkijo6IVyorI+KViDga+Gvex8zMuqmyw4jc3s722/I+ZmbWTZXJNB4B1mpn+1rAowsWjpmZNbMymcZJwCGSdq7eIGlX0lwa361XYGZm1nza7D0l6cJWVj8LXCfpSeCJvG5t4BOkUsZ+pGoqMzPrhtrrcjuinW2fzEvRp4AhwMgFjMnMzJpUm5lGRJSaP9zMzLo/ZwxmZlYzZxpmZlazUmNPSdoc+Aape21/0nAiRRERa9QpNjMzazJlxp46BPgd8CHwJPB8o4IyM7PmVKak8V1gHLBDRLzWmHDMzKyZlWnTGAj80RmGmVnPVSbTeAJYtlGBmJlZ8ys7NPoRklZsVDBmZtbcam7TiIhrJH0EeFzS9cBEYNa8u8UP6xifmZk1kTK9pz4O/IA0/Pn+bewWgDMNM7Nuqkzvqd8CywPfAv4NvNmQiMzMrGmVyTQ+DZwZEec0KhgzM2tuZRrC3wamNCoQMzNrfmUyjauBLzUqEDMza35lMo3fA0tJuk7SNpJWl7Rq9dKoQCsk7SjpSUnjJZ3Y6PczM7MWZdo0HiP1jhoGzDPla0HvBYqoHZJ6A78BPgdMAh6QNDoiHm/Ue5qZWYsymcYPSJlGZ9oEGB8REwAkXQnsCjjTMDNbCBTR2flA7SR9GdgxIg7Or/cHNo2IIwv7HAocml9+gjQib0eWAzymVuK0aOG0aOG0aNET0mK1iBjQ2oZS82l0BRFxPnB+mWMkjY2IYQ0KqUtxWrRwWrRwWrTo6WlR5onwLWvZLyLunP9wOvQisErh9cp5nZmZLQRlShpjqK1No2EN4cADwFqSVidlFl8B9m3g+5mZWUGZTOPANo5fAxhBGsDw9wseUtsiYqakI4F/kjKnCyPisTqculR1VjfntGjhtGjhtGjRo9OiLg3hkpYFHgJOjYiLF/iEZmbWlMo83NemiHgTuAA4vh7nMzOz5lSXTCN7Exhcx/OZmVmTqUumIakvaY6NV+pxvnqT1E/SwM6OoxlIWk7SJzo7jmbgtGjhtGghaXlJG3d2HM2q5kxD0oVtLNcBzwGbAuc2KtD5Jek04HlgvfxanRtR58lp8TSwRWfH0tmcFi2cFi0knQr8F9itJ18r2lOmpDGijeUzwDPAVyPi7DrGtkAk7S1pLLA4qbvwTpDmo+3MuDpDTosHgcWAm0hzo/TIDNRp0cJp0ULSXpIeApYELgVWioiQVM8q/G6hzBzhXSbxJA0AVgeOjYg7Je0A7CJpiYh4r5PDW6gkLQL0A74dEWMkrQf8TNJyEdHdh0KYi9OihdNiHn1I14sxkpYD/i1p5YiY1NmBNZtuM4yIpKWBxSJiSkRMAc4obB4ILBcR70nqFRGzOyfKhUPSR0mfd3xEzADOK2xeHngDmNEZsS1sTosWTosW+TGBwRHxIEBEXF7Y3B+4F1iWNJq2FXSZ0kN7JB0PvAp8VdJShfWVp9NHA1tJWqsHZBjHkp6W/6akj+V1KhSz7wa2IT2U2a2rIpwWLZwWLSR9E3gWOFnSmnldr8JnfgYYShqYEFdRza3dkoak0SXPFxGx6wLEU1oeUmQZ4NfAasC6wH05mFn5i/AucA3wKVKDX7eU7yQ/AvwY6AsMB67M7TghqXdEfCDpKmBb4KHu2sbjtGjhtJjHosD3SWnyZeCMys1kTouZkv4F7A3c3t1vNMvqqHrqiyXPt1C+aPnuYMmIGEfqufWLiHhN0jnAlpImRMRkScqNWbOBj5Ia/OhOVVSS1ibdEd0TEW9JOpc0n/sxwFBJ4yLifzktKpnoVODDfLzTwmnR3dNiCLAqcG9EvAH8DviAdH37gqTNI+Ke/Jln5cP+C6ydM5FZrZ+5Z2q32BURvTpagK1JAwkCvNzIYCX1lvRrUnXT6ZK+B6xSaLi7gtS1dgNJfXKGsUj+8j9PGuCQrv7PUKlWkPQT4DrgW8BvJK0TEW/lu8S/A4sAW0taNKdFn7xtGrA7OC1wWnTntJCk7wLXAnsBl0jaMCLei4iZwP3ABFL32sUiYnahKmpxYDNnGPOa77o6SetJuhG4jTTZ0feBteoVWBs+CqwIbAYcRSpmnlnZGBH3kOoqh+dt5AY/SEXzvRoc30KR/8H7AGsCO5A+13PAHwv7PEGaovfjpLss8j8KEXEG8PmFG3VjOC1aOC1aREaqkt4rIr4G3E5hsMGIeImUcSxFuqZAqrIiIv4AfGGhBt1FlM40JK0iaRTwf6T6z18Da0TE6RExrc7xIWmApEXzy/WAj0bEVHK1FLCipL0Lh/yC1OvhdEmPS1ofICKmRsT0rtyoJWlVSUvkl2uS/n5vAETET4ClJR1SOORSYDLwQ0mTJH22siEipjktEqdFt0qLTyj1jKp0vX8v/65Iz5FNVRopG4CIuBW4CzhF0gvAdoX9u/T1omEioqaFdCE+C3gfmAVcBgyq9fiyC+nLfz1wI/AXYNG8/ilg98J+ewI3V8X5KvAIsGej4luYC6lHy2hSqe4GYM28/n5gn8J+2wFPFV4vR8pcx5Hutjr9szgtnBYNTou7clrsmNdfBRxa2O+zwAuF18sDTwAPA1/u7M/RFZZa/hiLASeQ7lxmk+ayGNrAP36v/AUYBxyX190E/Dj/vj+pQauy/+rAKGBtQKRJmU7r7IStY1osny8Cx+d15wFn5d+/BDxfdcyfgeH59+HADzr7czgtnBYNToulgTuBE/K6/wf8Kv++HfBgTq8+ed2NwN7593W6y/VioaV5B3+QkcALpJLFA8C2Df4C9AGuJvVqGFJYPxT4H9A7v7658qUndbe9ntSbCvIcIZUvVGcn8AKmx7/yl37dwro1SXeJSxTS4vTK5ybdWa3QyrmcFk6L7pgW/yANf7IOLbURK5K61g/Mr0eRHvatlMQuKqZdd0mLhbV01OX2D6RutGPzxXz9ShtBGyIiftHBOVuV6w5nk+6eZgCP5/W9SXcSD0RLT4bDgIslfYRU3Hwq76vIf/0cTJfrAVLVxW806anVW/K2RUh3VmNJpSqAg0mN/H/M3SwnA9O6Q1oA5J49M3FaOC0ySX0jYnp++RfgixHxvbxtUVJ32ifInWGAE4EjScOkfIzUS+zV6vN2xbToDLUMIyJg47x0JEgN0TVRGq58cETcGy0P1/QjDQcyK3cJ/DD/od+Y8yYRz0jahzSy7tiIuLLW92xWklYBDgfuIFUBQmrEq6RLn4iYIWk14IOIeBcgIp6TdChphNKPRMR1Cz34Ost/72HAnZE6PUBLW1pPS4sVSD2Abs0ZBvTctPgY8DPSZ69MP/0UqaH/I8C0fL0YTLqGvAAQEa8AJ0naFFg2Iv7RCeF3Gx1lGls36o0lfYf0h58o6T7gbxFxP6lX1uHA6Ij4MO++K3B5Pu5Q4Kb8hXihcL4u+zCSpJ2AX5JKcw8W7ihfJPW1v7hwwdiRnKkoDYdwX0Q8QKqyqJyvK6fFKcBupDvFPSWNiojbgZeAb9Kz0uIo0h3yk8Dukq6NiH+S7pKPoGelxfdIT2+/Djwuael8Q/EBsFFEvF/Y/TO0pMW3gacjYnRE/Kdwvi6bFp2to4f77ii71PKmuTi9Likz2If0RfhJfs8/Ay9K2qCw7+KkJ73/TcrI3mwl1q78BdgYODMiToqI16Kl3/y/SFUK2xX2XRrYPqfFp0kXlLl01bSQdBCwAqntbF/gLVKbFfnu8P2ekhbZ+sAhEbEzaWyo3wBExI3A9J6SFpJ+TOocsyXwbVImMRUgZwRLSfpS4ZDlgF1zWmwA/Lv6nF01LZrBQuuDLGm1XLwEWIU0TtT4iHid9Fj/VEkn5u3P01I32xvYPC/fjoh9oosPby5pZaXhl5G0OOnC+ICkDST9RdIxknbNu9+Wt1dsRfoHOiYi9i1U33RJSrM+VlwdEYdFxBuSNgE+BywmaY28/Xa6d1qsqDROVKUqZmnyKKsRcSnwjKSf591vpfunRf/88scRcVBEvBMRDwNLSNqmsPvFwBrSnAEHtyXNi3FMRHw1Iua5ybT51/BMQ1J/Sb8jdfn7naTPRcQEUmP3twEi4gPgp6S7g8VJT2hukE+xBLBrRHw2Iu5X1ui4G0HS4pL+TBrW4HKlMW+mkT7v0aRS1y2k9psLlB5OmkG6+65cYHeLiM0iYmwXT4tlJV1G+l4AUKmPV+ps8V3gr6QL4QVKD2zNonumRT9JF5Iada+U9OlcD98LOKCw69eBvXNaBFAZrba7psWfJG0GTM/b+khakpRhLlc4LICZhQb+PSNio66eFs2qoZlGrlq6Hng/IjYhdds9NG8+Cdgv/wMAjCfVYw8mjSG1V653fL1SF5lfR7H3RxezMTA9IjYmZRz7SvoyaQiWPYFZEfG7iLg4bz+K1HVyf4CImB4RlV5lXT0tfkwqRS4p6WBIF4W87VFgj4j4fkT8mFTy3JOUoXartFAayv8K4K2I2Jz0cNrBefPJwFFKnUOIiImkLqabky6cB+T13TktDiSVNhURM/ONRaWmouK/wB7KUyHk9s4unRbNrGGZhqSLSVOsbhURx+bVbwGvSBoYaZyof5Oqpog06OBypLuKCaQvwprFc3bVekhJF0naGViZNFsapL7jd5LGt/kQOBsYkjNaSI3gj+ULxYP5jmuOLpwWF+e0OJV05/xj4AilbpQzKw2UMfdAcdNITzQ/AzzUjdLiIlLj7lGkB2gBfg5sK+njEfEYqXPEOUq9gyANNvhqRDxFz0iLHUjPW4Ra5se5gsK4UDktniJ1BqCwvkumRbNrZEnjRuCTlX9+SScDp5CKkr9RmoL1KGAFSWdLuo001v9b+fhf5S9Dl1S4a4Z0d7gWqaT1gaQhuVrqAdJd9N7AD4ApwA8k3UQaOO5BpX7np0bEfQv1A9RRVVpUvhev5nr3W0gD6J1a2T0fs7ikjSRdSSp9jpe0GHBKN0uLgcCzkbrNLkbKFB4nDVMO6X9kJvCr/D+yBvBqD0uLd3JJo3Ij8Q7wsqRVC8d/K3cQsAarS6YhaQlJxyo9a1DxAXls/uw3EbF8RBxFKlrvGqmX0FdIwzVfGRHb5+qotyLi+XrEtrBJWlLSqaS7porppLaJt8lFaYCIeJbUfXLlnBZHk+4sL8v1009HxIcRMXkhfoS6aSMtPiBdBOdUH5D63n9B0hqFC8NawK+Au/P3YlJEfNDN0mIG6dmKD5UnQiKNndaH1KOw0t53OOlB24siYouIeKGHpcVbuaRRaZuYRPofmXONiIh3FlL4Pd4CZxqSDiM9kLYWMLnwh32K1Le88h5vF7Y9CgyANDxxRNwSEefn83XZUSUlbQzcQ2qgvKtQ1fQ0KaOYQuo/PljSHnnb/4BPAkTE2xHxf5HnK+6maTHnexFp/oLeEfEoaeTVUyUdIGmfiHgE2CYizsnn6+5pUcksv0iaOGmGpIOVeglNi4j7I/Wg6qlpMZI0B4gi4n8uVXSeBfrySdqddHd8ekQcnu9+AuYat/9refdZ+W5hO1I99oOtffm7eD3kUNJDioflO+MZALmR8ilg34i4m9Q54Oc5wz0buK8HpcUTpCqHr+XXlQvEi8B+pCFiHsjbPqzcaPSEtMiWB9aT9HfSfBhPVzfk9tC02JtW0sIWvlqGEZmLpLWAEcBDpLm47wZel/Qp0qxfj5EacJ8g9atfOv/jLyPpCNI/wmkRcW19PkLnyWlxAKnn12VAf+BeSSuShpF/DJgYEX8iVcktrfS0918lTQU2Io1M+qfO+QT1UzItbiOlRaW08XngG6Rhuv9SPG9XvEjMZ1oski+gm5JKnodEerizS3NadD8q8z8paV3gb6SZwLYjTSm5BjCINDT5FaQeQsuQnsFYD9gkIr6fez6sEBGTCudTV7wowDxpsS2p9LA96RmLCcC7pKdyzyMNi7EMqSfZSW2cr8emharmYe6paZEbhteIiCcL53NatJyvy6ZFtxLlhiE+iJYx+z9BGhfpnPyzf17fjzQF66GkB/MepGpIZrrBEMStpMU3SF/+t4ALC/sdQ3qAbdE20kILK+ZmTYvK96GHfy9WrDpP787+LE4LL60tZds0JgCb5uLjk/kP/CHwZqThQIiIN0jPW7wQabiPm0nFzDmia9fJVlSnxaPARFJxe7CkpfN+U4H7Iw2+2FpadIc7pwVKi8r3oYd/LzYpniTmfk6lq3JadENlq6cGkvrT3xURf1J6gvOrpDFyziRVVR1LGozwEFI95oBIQyJ0K62kxTKkxrrFSI19k4GPkx5Q/Aap7Weg08JpgdOix6VFd1K2IXwK8B9gG0ljIuJFSe+TxuxfnjQ72PURcXjhmO76BWgtLWYBQ0hVc6uT6mf/WDjGadHCadHCadGiu6ZFt1GqeipXH9xI+jKcmVf3Jo0t9QqwdUScBl27L3kt2kiLIE2a1Ccixlf+GZwWTgucFj06LbqTUtVTcw5Kj/j/hZTprAnsExEP5W09anKTVtLiKxHxf50bVedwWrRwWrRwWnQv85VpwJwvwoAodKHtqZwWLZwWLZwWLZwW3cd8ZxpznaSHlS7a47Ro4bRo4bRo4bTo2uqSaZiZWc/gxiczM6uZMw0zM6uZMw0zM6uZMw0zM6uZMw3rciSNkBSShjdBLGMkTezsOMwWFmcaNg9JO+aL8o9a2bZZ3vaBpI+0sv0fkmZLWm7hRLtgJPWW9GL+TN/v5FiuzHGs2cq23+Vtl7Wy7WN52w0LJ9La5Uw1CssMSS9JukrSep0dn5XnTMNacxdpHu/hrWzbOm9bFNi8uCHPgfAZ4L8R8VqDY6yXzwMrAs8AI/KEYZ3l9vxzeCvbKum+VRvbisc3mw+A/fNyBDCaNH/GvZI+0Ylx2XxwpmHziIh3SVOubtxKaWI4afjqV5j34rYxaQ6VMY2NsK5GkjKMY4HBtH7BXlhazTQkrUAaDfZSYOVWSiKV/cfUI4g8enU9zYyIy/Lyh4g4DDgOWBI4ss7vZQ3mTMPacjupNLFFZUUuSWwB3JGXrauOGV44tnLMCpLOk/S8pA9z1cT5kpavfkNJy0j6qaTxufpriqQrJA2uJWBJ38tVIOfUMgBeHrr7i8AlwE2kobpHtrHvspL+IOk1Se/lapeN2th3c0l/l/SKpOm5+usmSZu1F09EPAW8xLwZV+X1j0mljdbS/S1gXCGG7ST9S9JbOYZHlOakr451Yv4sG0j6p6S3gUcK29eSdKmkl/Pfb6KkMyUt0d5nqcGt+edahfcanv9+I1qJc5SkqFo3JsezYv6evCnp/fw5Pr6A8VkbnGlYW1q7662UJCqZxsZVF4/hpFFM7wCQtCowFvgycDlpzoRLga8AdyvNr0DedxngHlL1xY3AN4FzgW2A/0hara1Ac7vEecCPgO9ExDdrHKbiANIozZdExEzgT8CXinHl8y8C/BM4mJS5HAc8BdxCmt64uO8nSCWxjwO/yp/n3Jwu69cQ0+3ASkpza1cMB56MiPHAQxT+JoVSyB2VzyzpUOBfpDv500mlqGeA8ySdybxWJc3P/Vz+bOfk82xE+vttCfye9Pf7G3AUcHNOl/m1Rv75xgKcA9L38U5gFvBdUloPB65XmmLa6q2zpw700pwLsDipLvqewrrvAO+Q5mFZm3Qh3D5v60Oa83lcYf/rSXfvK1edexjpjvnUwrpfAdOA9av2XY00s9uowroR+b2H5zivJc0geUDJz/gEMKbwev183sOr9js0rz+tav3Ref3Ewrqj8rpN5jPdR+bjDy2sexL4Xf79p8CLhW375P2Pzq9XAKYDl7dy7l+RLq6DC+sm5uMPbmX/h4H/AUtVrd89HzOihs8zJn8vlsvLKqT2jMr77lTYd3hb5wVGkSe6rDp3AMdXrT8ur9+hs/+PuuPikoa1KiKmkSbQGVYoTQwnZSIzI+IJUoYwPG+rlEJuhzklhy+SGj2nS1quspAuGOOB7fO+AvYj3TG+WLXve8B9lX2r9CPd1W8H7BwRl9T6+SRtDnwSuLjwmR8mVfEcVLX7bqSL7dlV688jZWhFb+efu0rqW2s8BXOV8Iolibz+DmDFQvXL8KrjvkyaGe+PxXTMaXkDqXZhu6r3fAO4qLhC0hDgU6QS4mJV57mL9Hdp7W/SmiVIc2pMAZ4nZfKLAl+LiJtqPEdbZgO/rlp3W/65FlZ3ZWfus57lduCzwGck3Upqz/hxYfudtNSvD88/x+SfnyBdoEbSRjsBaQ5pgAFAf9JFaEob+7ZW3TSKVAWzZUTc1fbHaNVIYAbwf1UNy/8ETpD0qYio1O0PBl6OiLkyiIj4QNIEYNnC6itJUyB/FzhG0n35nFdGxHMdBRUREyQ9T0t6Vn5WMo27SBnY1qQqsuGki34l1rXzz1vaeZuBVa+fiXnn4a6c57S81HKetkwHds6/9yNVC36O+lSPvxQR06vWvZ5/9q/D+a2KMw1rz+3AyaQL01Ra2jMq7gB+IWnJvM9sUkYCUOm6ehmFu/kq06r2vYVU/VKrq4ADge9L2i2XjjqU490LWARoazKgg0jVT6VExAfA5yRtAuxAag/4AXCqpH0j4toaTnM78LXcPjIcGB8RL+XzT5U0DhguaTSpFHJt5HoZWtLyAODlNs4/oer1+63sUznP2cA/2jjPmx18jopZETEnE5P0F1LbyPmSHipkzu0Nud3Wtao6syvqzO7T3ZYzDWvPvaS7xK1JmcY0UlfcijtI36HhpFLIuIioXEjGky4CixYvGG2YQur9s3QN+xb9idQL51Lgb5J2jojWLoDV9iKVUL4LPN3K9qOAr0o6PiI+JF1kt5e0dLG0oTSx0GBauXhGxP3A/Xm/VUiZ049IVTMduR34GindhzN3Rk1+vS+t9FYrfJ7XSqZltcp5Zi3geeYREbMlfQt4HDiLlmquSqN4v1YOq6kHnS0End2o4qW5F1L98AzgbuDWqm0CXiNdxAI4u2r73/Kxm7VyXpFmcqu8rvQw+nIbcSxf+H1E3nd4fv1lUkP4HcCSNXymu0lVGH3a2P61fP498+uvU3tD+HJtfNYnSFVctaT5qrT0Qgtg/6rtu1RtH1LYtjIpo78fWLyVcy8DLFZ4PZFCZ4CqmB8ltdEMbmV7H6BfDZ9lDPBuG9suzvF/Jr9eMn9fbqrab3NSKTZaOffEVs47KJ/31M7+/+mOi0sa1pHbSXe8mwOnFDdEREj6N6mhuLJv0eGkOvg7JV1CutvuRbpr3JX0fMSped/vkUorV0u6mtT4/SGp99ROwIOkzGIeEfEXSTOAq4F/Svp8VLU/VEj6ZP4soyJ1s23NaNLFayTwZ1Ij8aHAyZJWJ5XANgD2JHVlLf4fnSRpe1KG+Szp4rszqdH9Z228X/XneT63lWyZV1WXNP5NuohuScq0/1s4dpKkw4ELgCckXUrqSjsAGEL6W61DyizaiyEk7U+6aXhE0oXAY8BHSPN8f4nUm25ULZ+pDT8mtf+cBmwbEe9KGgUcLOkKUqawFqkK8hFq67JsjdbZuZaX5l5Iw4JEXrZqZfvRedtMYJlWti8HnElqtJ1OqoZ6lNT9c52qfT8CfD9vn0bq3vsE8Adg08J+IyiUNArrv5Df477WYsn7nJmP3bmDz/1PUn35Kvl1P+CPpBLKe6QL2jCq7nZJVUZXkS7K00hVLv8hPeOhEul+QY7z2Ta2j8vb/9LG9i1IVWGTSZnvS6RM/dtA38J+E2mlpFHYvhrwu7zfh/nzPwj8pJI2HXyOMbRR0sjbryh+t0iljQvy+7xPyiA3p+0utxNbOecgXNJo2OLpXs3MrGZ+TsPMzGrmTMPMzGrmTMPMzGrmTMPMzGrmTMPMzGrmTMPMzGrmTMPMzGrmTMPMzGrmTMPMzGrmTMPMzGr2/wFh8DG2FuMenwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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