运行fuzzywuzzy时如何摆脱属性错误？

Question

I'm trying to compare 2 lists and get a distance ratio for each item on the list. My code below returned an attribute error: 'Series' object has no attribute 'fuzz'. How do i fix this?

'differences' is a result from my earlier code for a list of companies with actual comparison (exact match) and df['Company'] is a column in my dataframe i'm trying to compare with.

from fuzzywuzzy import fuzz
from fuzzywuzzy import process
str1 = ['differences']
str2 = df['Company']
print ("distance {} -> {}: {}".format(str1,str2.fuzz.ratio(str1,str2)))

Answer 1

str1 = ['differences']
str2 = ['abcd','differ']
for x in str1:
    for y in str2:
          print ("distance {} -> {}: {}".format(x,y,fuzz.ratio(x,y)))

Replace str2 with df['Company']

Answer 2

According to your comments it appears you would like to iterate over a list and would like to find the closest match in a pandas Series. This answer is using RapidFuzz , since it is faster than fuzzywuzzy, but would work pretty much the same way with fuzzywuzzy. To find the closest match in an iterable you can use process.extractOne , which will return a tuple (match, score) for a normal list, or a tuple (match, score, key) for objects that provide a .items() functions like eg a dict or a pandas.Series .

from rapidfuzz import process, fuzz

short_list = ['differences']
companies = df['Company']
for x in short_list:
  match = process.extractOne(x, companies, scorer=fuzz.ratio, processor=None)
  print("best match for {} is {} with a score of {} at the index {}"
    .format(x, match[0], match[1], match[2]))