Sometimes you don’t want to use OpenRefine. Why not? I don’t know, it’s the best for cleaning up fuzzy matches. But yes, sure, sometimes maybe you don’t.

%matplotlib inline
import pandas as pd
df = pd.read_csv("CD_Transactions_07-23-2017.CSV", index_col=False)
df.head()
Result Date Transaction Type Payment Type Payment Detail Amount Last/Business Name First Name Address City ... -------- Report Type Election Name Election Type Municipality Office Filer Type Name Report Year Submitted
0 1 4/3/2017 Income Check 12864 $350.00 Alaska Republican Party State Account NaN NaN NaN ... NaN 24 Hour Report 2017 - Anchorage Municipal Election Anchorage Municipal Anchorage, Municipality of School Board Candidate Kay E Schuster 2017 4/3/2017
1 2 4/3/2017 Income Credit Card NaN $500.00 Coffey Dan NaN NaN ... NaN 24 Hour Report 2017 - Anchorage Municipal Election Anchorage Municipal Anchorage, Municipality of School Board Candidate Kay E Schuster 2017 4/3/2017
2 3 4/3/2017 Income Check 3047 $300.00 ACS Employees PAC NaN NaN NaN ... NaN 24 Hour Report 2017 - Anchorage Municipal Election Anchorage Municipal Anchorage, Municipality of Assembly Candidate Pete Petersen 2017 4/3/2017
3 4 4/3/2017 Income Credit Card NaN $500.00 Holmes Patrick NaN NaN ... NaN 24 Hour Report 2017 - Anchorage Municipal Election Anchorage Municipal Anchorage, Municipality of NaN Group Alaska Republican Party 2017 4/3/2017
4 5 4/3/2017 Income Credit Card NaN $500.00 Gonzales Mark L. NaN NaN ... NaN 24 Hour Report 2017 - Anchorage Municipal Election Anchorage Municipal Anchorage, Municipality of NaN Group Alaska Republican Party 2017 4/3/2017

5 rows × 26 columns

What are all of our options for the “Alaska Sea Pilot PAC fund”?

df[df['Last/Business Name'] == 'Alaska Sea Pilot PAC fund'].shape
(3, 26)

df[df['Last/Business Name'] == 'ALASKA SEA PILOT PAC FUND'].shape
(6, 26)

df[df['Last/Business Name'] == 'Alaska Sea Pilot Pac Fund'].shape
(6, 26)

Maybe we can throw in a regex and catch some more?

df[df['Last/Business Name'].str.contains("Sea.*Pilot", na=False)]['Last/Business Name'].value_counts()
Alaska Sea Pilot PAC Fund                                     46
Alaska Sea Pilot PAC                                          17
Alaska Sea Pilots PAC Fund                                    13
Alaska Sea Pilot Pac Fund                                      6
Alaska Sea Pilots                                              5
Alaska Sea Pilot PAC fund                                      3
Alaska Sea Pilot Pac                                           3
Alaska Sea Pilot                                               3
Alaska Sea Pilots Pac Fund                                     2
Alaska Sea Pilot PAC Fund                                      2
Alaska Sea Pilot Fund                                          2
Alaska Sea Pilot  PAC fund                                     2
Alaska Sea Pilot PAC                                           1
Alaska Sea Pilots, 1621 Tongass Ave., Ketchikan, AK. 99901     1
 Ak Sea Pilot PAC                                              1
AlaskanSea Pilot PAC                                           1
Alaska SeaPilot PAC                                            1
Alaska Sea Pilots Ass'n                                        1
AK Sea Pilot Pac Fund                                          1
AK Sea Pilot PAC                                               1
Alaska Sea Pilots, LLC.                                        1
Alaska Sea Pilot                                               1
Alaska Sea Pilot Pac                                           1
AK Sea Pilot PAC Fund                                          1
Name: Last/Business Name, dtype: int64

Using fuzzywuzzy for finding fuzzy matches

Fuzzy matches are incomplete or inexact matches. The Python package fuzzywuzzy has a few functions that can help you, although they’re a little bit confusing! I’m going to take the examples from GitHub and annotate them a little, then we’ll use them.

First, install fuzzywuzzy with

pip3 install fuzzywuzzy[speedup]

Then we’ll get to importing it

# fuzz is used to compare TWO strings
from fuzzywuzzy import fuzz

# process is used to compare a string to MULTIPLE other strings
from fuzzywuzzy import process

MAKE SURE YOU INSTALLED USING pip3 install fuzzywuzzy[speedup] OR ELSE IT WILL COMPLAIN HERE AND WILL ALSO BE SLOWER

fuzz.ratio compares the entire string, in order

Every single thing in the string is important here!

fuzz.ratio("this is a test", "this is a fun")
74

fuzz.partial_ratio compares subsections of the string

Partial matches are fine! The exclamation mark at the end made fuzz.ratio not like the comparison last time, but this time it’s OK.

fuzz.partial_ratio("this is a test", "test a is this")
57

fuzz.token_sort_ratio ignores word order

fuzz.token_sort_ratio orders all of the words first, so “KENNEDY JOHN” and “JOHN KENNEDY” would be the same.

fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
100

fuzz.token_sort_ratio("this is a test", "is this a test")
100

fuzz.token_sort_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
84

fuzz.token_set_ratio ignores duplicate words

I don’t know why you’d ever have “JOHN KENNEDY KENNEDY” but if you use fuzz.token_set_ratio then it would definitely match “JOHN KENNEDY”.

fuzz.token_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
100

Actually using fuzzywuzzy on our dataset, featuring process.extract

choices = ['fuzzy fuzzy was a bear', 'is this a test', 'THIS IS A TEST!!']
process.extract("this is a test", choices, scorer=fuzz.ratio)
[('THIS IS A TEST!!', 100),
 ('is this a test', 86),
 ('fuzzy fuzzy was a bear', 33)]

choices = ['fuzzy fuzzy was a bear', 'is this a test', 'THIS IS A TEST!!']
process.extract("this is a test", choices, scorer=fuzz.token_sort_ratio)
[('is this a test', 100),
 ('THIS IS A TEST!!', 100),
 ('fuzzy fuzzy was a bear', 28)]

Since we already imported, let’s collect all of the business names into a list. We’re going to search through the list to find names that are similar to Alaska Sea Pilot PAC Fun.

# If we grab a column and use .unique(), it gives us every business name with no repeats
choices = df['Last/Business Name'].unique()
choices[:15]
array(['Alaska Republican Party State Account', 'Coffey',
       'ACS Employees PAC', 'Holmes', 'Gonzales',
       'Anchorage Taxicab Permit Owners Association (ATPOA)', 'Abdullah',
       'Alimi', 'Barbosa', 'Bryant', 'Chamot', 'Farmer', 'Gautam',
       'Guevara', 'Lena'], dtype=object)

Now we’ll use process.extract to find the top 15 matches

%%time
process.extract("Alaska Sea Pilot PAC Fund", choices, limit=30, scorer=fuzz.token_sort_ratio)
CPU times: user 634 ms, sys: 5.38 ms, total: 639 ms
Wall time: 642 ms





[('Alaska Sea Pilot PAC Fund', 100),
 ('Alaska Sea Pilot  PAC fund', 100),
 ('ALASKA SEA PILOT PAC FUND', 100),
 ('Alaska Sea Pilot PAC Fund ', 100),
 ('Alaska SEA Pilot Pac Fund', 100),
 ('Alaska SEA Pilot PAC Fund', 100),
 ('Alaska Sea Pilot Pac Fund', 100),
 ('Alaska Sea Pilot PAC fund', 100),
 ('Alaska Sea Pilots PAC Fund', 98),
 ('Alaska Sea Pilots Pac Fund', 98),
 ('Alaska Sea Pilot Fund', 91),
 ('AK Sea Pilot Pac Fund', 91),
 ('ALASKA SEA PILOT FUND', 91),
 ('AK Sea Pilot PAC Fund', 91),
 ('Alaska Sea Pilot Pac', 89),
 ('Alaska Sea Pilot PAC', 89),
 ('Alaska Sea Pilot Pac ', 89),
 ('Alaska Sea Pilot PAC ', 89),
 ('ALASK SEA PILOT PAC', 86),
 ('Alaska Sea Pilot', 78),
 ('AK Sea Pilot PAC', 78),
 (' Ak Sea Pilot PAC', 78),
 ('Alaska Sea Pilot ', 78),
 ('Alaska Sea Pilots, LLC.', 78),
 ('Alaska Sea Pilots', 76),
 ('AlaskanSea Pilot PAC', 76),
 ('Alaska Marine Pilot PAC', 75),
 ("Alaska Sea Pilots Ass'n", 75),
 ('Alaska SeaPilot PAC', 73),
 ('Alaska Senate Majority Fund', 73)]

Wow, those look pretty nice! Maybe instead we should just find the ones that are above a certain score? You can also specify a scorer if you want to get particular.

# Get 100 options so we're sure to have some non-matches
possibilities = process.extract("Alaska Sea Pilot PAC Fund", choices, limit=100, scorer=fuzz.token_sort_ratio)
# And let's see everyting with a score above 73
[possible for possible in possibilities if possible[1] > 73]
[('Alaska Sea Pilot PAC Fund', 100),
 ('Alaska Sea Pilot  PAC fund', 100),
 ('ALASKA SEA PILOT PAC FUND', 100),
 ('Alaska Sea Pilot PAC Fund ', 100),
 ('Alaska SEA Pilot Pac Fund', 100),
 ('Alaska SEA Pilot PAC Fund', 100),
 ('Alaska Sea Pilot Pac Fund', 100),
 ('Alaska Sea Pilot PAC fund', 100),
 ('Alaska Sea Pilots PAC Fund', 98),
 ('Alaska Sea Pilots Pac Fund', 98),
 ('Alaska Sea Pilot Fund', 91),
 ('AK Sea Pilot Pac Fund', 91),
 ('ALASKA SEA PILOT FUND', 91),
 ('AK Sea Pilot PAC Fund', 91),
 ('Alaska Sea Pilot Pac', 89),
 ('Alaska Sea Pilot PAC', 89),
 ('Alaska Sea Pilot Pac ', 89),
 ('Alaska Sea Pilot PAC ', 89),
 ('ALASK SEA PILOT PAC', 86),
 ('Alaska Sea Pilot', 78),
 ('AK Sea Pilot PAC', 78),
 (' Ak Sea Pilot PAC', 78),
 ('Alaska Sea Pilot ', 78),
 ('Alaska Sea Pilots, LLC.', 78),
 ('Alaska Sea Pilots', 76),
 ('AlaskanSea Pilot PAC', 76),
 ('Alaska Marine Pilot PAC', 75),
 ("Alaska Sea Pilots Ass'n", 75)]

Huh, pretty neat.

Filtering directly with fuzzywuzzy

We can also use this directly with our dataframe, if we’d like to use fuzzywuzzy to filter instead of giving us a list. It’s going to be a lot slower, but that’s life, I guess.

def get_ratio(row):
    name = row['Last/Business Name']
    return fuzz.token_sort_ratio(name, "Alaska Sea Pilot PAC Fund")

df[df.apply(get_ratio, axis=1) > 70]
Result Date Transaction Type Payment Type Payment Detail Amount Last/Business Name First Name Address City ... -------- Report Type Election Name Election Type Municipality Office Filer Type Name Report Year Submitted
50505 50506 12/3/2015 Income Check 1278 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave, Ste 300 Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Jonathan Kreiss-Tomkins 2016 6/13/2016
51557 51558 11/23/2015 Income Check 1279 $500.00 Alaska Sea Pilot Pac NaN 1621 Tongass Ave. Ste. 300 Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN Senate Candidate Bert K. Stedman 2016 6/23/2016
61585 61586 11/21/2015 Income Check 1090 $500.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Avenue Ste. 300 Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Sam S Kito III 2016 8/9/2016
62351 62352 11/16/2015 Income Check 1084 $500.00 Alaska Sea Pilot PAC NaN 1621 Tongass Ave Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Neal Winston Foster 2016 8/28/2016
74155 74156 11/16/2015 Income Check 1087 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Lynn Gattis 2016 10/9/2016
75904 75905 9/13/2016 Income Check 1289 $1,000.00 Alaska Sea Pilot PAC Fund Alaska Sea Pilot PAC Fund 1621 Tongass Avenue Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Andrew "Andy" Josephson 2016 10/9/2016
77090 77091 9/13/2016 Income Check 1285 $500.00 Alaska Sea Pilot NaN 1621 Tongass Avenue, Suite 300 Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Cathy L. Tilton 2016 10/10/2016
77110 77111 10/24/2016 Income Check 1297 $1,000.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave. Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN House Candidate Dave Talerico 2016 10/31/2016
77259 77260 9/15/2016 Income Check 1288 $500.00 ALASK SEA PILOT PAC NaN 1621 TONGASS AVE KETCHIKAN ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Gary Allan Knopp 2016 10/10/2016
77473 77474 9/14/2016 Income Check 1284 $500.00 Alaska Sea Pilot Fund n/a 1621 Tongass Avenue Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate cathy munoz 2016 10/10/2016
83512 83513 10/18/2016 Income Check 1206 $500.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN House Candidate Chris Birch 2016 11/1/2016
83824 83825 10/20/2016 Income Check 1300 $1,000.00 Alaska Sea Pilot Pac NaN 1621 Tongass Ave. Ste. 300 Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN Senate Candidate Bert K. Stedman 2016 11/1/2016
89576 89577 11/21/2015 Income Check 1090 $500.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Avenue Ste. 300 Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Sam S Kito III 2016 8/9/2016
91019 91020 10/18/2016 Income Check 1202 $1,000.00 Alaska Sea Pilots Pac Fund NaN 1621 Tongass Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN Senate Candidate Donald "Donny" C. Olson 2016 11/1/2016
91031 91032 10/18/2016 Income Check 1299 $500.00 Alaska Sea Pilot PAC fund NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN House Candidate Mark Neuman 2016 11/1/2016
91556 91557 10/26/2016 Income Check 1208 $1,000.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Avenue, Suite 300 Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN House Candidate Zach Fansler 2016 11/1/2016
92062 92063 9/13/2016 Income Check 1286 $1,000.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongrass Ave Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN Senate Candidate David S. Wilson 2016 11/2/2016
92508 92509 12/21/2016 Income Check 1212 $1,000.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Ave Ste 300 Ketchikan ... NaN Year End Report 2016 - State General Election State General NaN House Candidate Jonathan Kreiss-Tomkins 2016 2/15/2017
93756 93757 9/13/2016 Income Check 1291 $500.00 ALASKA SEA PILOT PAC FUND NaN 1621 Tongass ave. Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate DeLena Johnson 2016 12/15/2016
93896 93897 9/13/2016 Income Check 1287 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Ivy A Spohnholz 2016 12/19/2016
95996 95997 11/25/2015 Income Check 1277 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave. Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN Senate Candidate Gary L. Stevens 2016 2/3/2016
96262 96263 9/19/2016 Income Check 1201 $1,000.00 AK Sea Pilot PAC NaN 1621 Tongass Ave Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN Senate Candidate Shelley Hughes 2016 10/10/2016
96451 96452 11/16/2015 Income Check 1280 $500.00 AK Sea Pilot Pac Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Shelley Hughes 2016 9/21/2016
97153 97154 9/13/2016 Income Check 1283 $500.00 Alaska SEA Pilot Pac Fund NaN 1621 Tongass Ave. Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Geran Tarr 2016 10/10/2016
102146 102147 11/16/2015 Income Check 1087 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year Start Report 2016 - State Primary Election State Primary NaN House Candidate Lynn Gattis 2016 10/9/2016
103895 103896 9/13/2016 Income Check 1289 $1,000.00 Alaska Sea Pilot PAC Fund Alaska Sea Pilot PAC Fund 1621 Tongass Avenue Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Andrew "Andy" Josephson 2016 10/9/2016
105081 105082 9/13/2016 Income Check 1285 $500.00 Alaska Sea Pilot NaN 1621 Tongass Avenue, Suite 300 Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Cathy L. Tilton 2016 10/10/2016
105101 105102 10/24/2016 Income Check 1297 $1,000.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave. Ketchikan ... NaN Seven Day Report 2016 - State General Election State General NaN House Candidate Dave Talerico 2016 10/31/2016
105250 105251 9/15/2016 Income Check 1288 $500.00 ALASK SEA PILOT PAC NaN 1621 TONGASS AVE KETCHIKAN ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate Gary Allan Knopp 2016 10/10/2016
105464 105465 9/14/2016 Income Check 1284 $500.00 Alaska Sea Pilot Fund n/a 1621 Tongass Avenue Ketchikan ... NaN Thirty Day Report 2016 - State General Election State General NaN House Candidate cathy munoz 2016 10/10/2016
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
366646 366647 12/8/2014 Income Check 1076 $1,000.00 Alaska Sea Pilots Ass'n NaN 1621 Tongass Avenue Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN Governor / Lt. Governor Candidate Walker Mallott for Alaska 2014 2/17/2015
371350 371351 12/18/2013 Income Check 1198 $1,000.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Avenue Ketchikan ... NaN Year Start Report 2014 - State Primary Election State Primary NaN Senate Candidate Peter Andrew Micciche 2014 2/17/2015
371450 371451 10/3/2014 Income Check 1324 $1,000.00 Alaska Sea Pilot PAC NaN 1621 Tongass Ave. Ketchikan ... NaN Thirty Day Report 2014 - State General Election State General NaN Senate Candidate Peter Andrew Micciche 2014 2/17/2015
375262 375263 10/6/2014 Income Check 1314 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass ave Ketchikan ... NaN Seven Day Report 2014 - State General Election State General NaN House Candidate David Guttenberg 2014 4/13/2015
380165 380166 11/3/2014 Income Check 1068 $500.00 Alaska Sea Pilot PAC PAC NaN NaN ... NaN 24 Hour Report 2014 - State General Election State General NaN Senate Candidate Berta Gardner 2014 5/12/2015
380309 380310 11/3/2014 Income Check 1070 $1,000.00 Alaska Sea Pilot PAC Fund NaN NaN NaN ... NaN 24 Hour Report 2014 - State General Election State General NaN House Candidate Wes Keller 2014 5/19/2015
380817 380818 12/14/2013 Income Check 128 $500.00 Alaska Sea Pilot PAC NaN 1621 Tongass Fund, Suite 300 Ketchikan ... NaN Year Start Report 2014 - State Primary Election State Primary NaN Senate Candidate Bill Stoltze 2014 5/30/2015
382147 382148 10/9/2014 Income Check 1304 $500.00 ALASKA SEA PILOT PAC FUND NaN 1621 TONGASS AVE KETCHIKAN ... NaN Seven Day Report 2014 - State General Election State General NaN NaN Candidate Click Bishop 2014 6/14/2015
382399 382400 12/5/2014 Income Check 1079 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN NaN Candidate Gabrielle LeDoux 2014 7/11/2015
383646 383647 11/5/2014 Income Check 1072 $1,000.00 AK Sea Pilot PAC Fund NaN 1621 Tongass Ave. Suite 300 Ketchican ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Adam L. Wool 2014 6/29/2015
384035 384036 8/7/2014 Income Check 1301 $1,000.00 Alaska Sea Pilot PAC NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2014 - State Primary Election State Primary NaN Senate Candidate Bill Stoltze 2014 6/30/2015
384493 384494 10/6/2014 Income Check 1307 $500.00 ALASKA SEA PILOT PAC FUND NaN 1621 TONGASS AVENUE KETCHIKAN ... NaN Seven Day Report 2014 - State General Election State General NaN NaN Candidate Bryce Edgmon 2014 7/1/2015
384629 384630 10/4/2014 Income Check 1318 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2014 - State General Election State General NaN House Candidate Geran Tarr 2014 7/1/2015
385218 385219 11/3/2014 Income Check 1068 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Avenue Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN Senate Candidate Berta Gardner 2014 7/14/2015
385656 385657 11/7/2014 Income Check 1075 $1,000.00 Alaska Sea Pilot PAC NaN 1621 Tongass Ave, Suit 300 Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Jonathan Kreiss-Tomkins 2014 7/18/2015
387266 387267 10/3/2014 Income Check 1321 $500.00 Alaska Sea Pilot PAC NaN 1621 Tongass Avenue Ketchikan ... NaN Thirty Day Report 2014 - State General Election State General NaN House Candidate Cathy Munoz 2014 10/10/2015
387476 387477 10/3/2014 Income Check 1320 $500.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Avenue Ste. 300 Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Benjamin P. Nageak "Bennie" 2014 10/21/2015
387715 387716 11/11/2014 Income Check 1074 $1,000.00 Alaska Sea Pilot NaN 1621 Tongass Ave Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Louise B. Stutes 2014 11/14/2015
387783 387784 10/6/2014 Income Check 1306 $500.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Ave ste 300 Ketchikan ... NaN Seven Day Report 2014 - State General Election State General NaN House Candidate Sam S Kito III 2014 12/2/2015
388013 388014 10/8/2014 Income Check 1313 $1,000.00 Alaska Sea Pilots PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2014 - State General Election State General NaN House Candidate Dave M. Talerico 2014 12/9/2015
389046 389047 12/9/2014 Income Check 1077 $500.00 Alaska Sea Pilot Pac Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Daniel H. Ortiz 2014 1/22/2016
389085 389086 10/11/2014 Income Check 1312 $500.00 Alaska Sea Pilot PAC NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2014 - State General Election State General NaN House Candidate Mark Neuman 2014 2/9/2016
389117 389118 11/3/2014 Income Check 1071 $1,000.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Wes Keller 2014 2/13/2016
389256 389257 10/6/2014 Income Check 1302 $750.00 AlaskanSea Pilot PAC NaN 1621 Tongass Ave Ketchikan ... NaN Seven Day Report 2014 - State General Election State General NaN Senate Candidate Mia Costello 2014 2/15/2016
389400 389401 12/18/2014 Income Check 1078 $250.00 Alaska Sea Pilot PAC NaN 1621 Tongass Ave Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN Senate Candidate Mia Costello 2014 2/15/2016
389470 389471 12/17/2015 Income Check 1086 $500.00 Alaska Sea Pilots NaN 1621 Tongass Ave. Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Dave M. Talerico 2014 2/15/2016
389473 389474 12/21/2015 Income Check 6531 $250.00 Alaska Sea Pilots, LLC. Richard Murphy PO Box 920226 Dutch Harbor ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Dave M. Talerico 2014 2/15/2016
393750 393751 11/5/2014 Income Check 1073 $1,000.00 Alaska Sea Pilot PAC NaN 1621 Tongass Avenue Ketchikan ... NaN Year End Report 2014 - State General Election State General NaN House Candidate Elizabeth (Liz) Vazquez 2014 2/15/2017
394209 394210 12/19/2013 Income Check 1195 $1,000.00 Alaska Sea Pilot PAC fund NaN 1621 Tongass Ave. Ketchikan ... NaN Year Start Report 2014 - State Primary Election State Primary NaN Senate Candidate Michael J. Dunleavy 2014 2/13/2014
394336 394337 12/18/2013 Income Check 1196 $500.00 Alaska Sea Pilot PAC Fund NaN 1621 Tongass Ave Ketchikan ... NaN Year Start Report 2014 - State Primary Election State Primary NaN House Candidate Shelley Hughes 2014 2/16/2014

128 rows × 26 columns

You could also do it using a lambda if you wanted

df[df.apply(lambda row: fuzz.token_sort_ratio(row['Last/Business Name'], "Alaska Sea Pilot PAC Fund"), axis=1) > 70]

We could technically clean it like below, but… it seems risky. Because it

is risky!

df.loc[df.apply(get_ratio, axis=1) > 75, "Last/Business Name"] = "Alaska Sea
Pilot PAC Fund"