Question

我正在尝试执行Fuzzywuzzy命令，比较数据帧中的两列。我想知道一列（“关系”）中的字符串是否存在于另一列（“ CUST_NAME”）中，甚至部分存在。然后，在与之前的同一列（“ CUST_NAME”）相同的第二列（“ Dealer_Name”）上重复该过程。我目前正在尝试运行以下代码：

这是我的数据框：

RapDF1 = RapDF[['APP_KEY','Relationship','Dealer_Name','CUST_NAME']]

这是模糊匹配：

from fuzzywuzzy import process, fuzz

RapDF1.assign(dealer_compare=[process.extract(i, RapDF1['Dealer_Name'], limit=3) for i in RapDF1['CUST_NAME']])
RapDF1.assign(broker_compare=[process.extract(i, RapDF1['Relationship'], limit=3) for i in RapDF1['CUST_NAME']])

但是，我收到以下python错误：

TypeError                                 Traceback (most recent call last)
<ipython-input-76-2faf28514c26> in <module>()
     52 # Attempt 7
     53 
---> 54 RapDF1.assign(dealer_compare=[process.extract(i, RapDF1['Dealer_Name'], limit=3) for i in RapDF1['CUST_NAME']])
     55 RapDF1.assign(broker_compare=[process.extract(i, RapDF1['Relationship'], limit=3) for i in RapDF1['CUST_NAME']])
     56 

<ipython-input-76-2faf28514c26> in <listcomp>(.0)
     52 # Attempt 7
     53 
---> 54 RapDF1.assign(dealer_compare=[process.extract(i, RapDF1['Dealer_Name'], limit=3) for i in RapDF1['CUST_NAME']])
     55 RapDF1.assign(broker_compare=[process.extract(i, RapDF1['Relationship'], limit=3) for i in RapDF1['CUST_NAME']])
     56 

C:\ProgramData\Anaconda3\lib\site-packages\fuzzywuzzy\process.py in extract(query, choices, processor, scorer, limit)
    166     """
    167     sl = extractWithoutOrder(query, choices, processor, scorer)
--> 168     return heapq.nlargest(limit, sl, key=lambda i: i[1]) if limit is not None else \
    169         sorted(sl, key=lambda i: i[1], reverse=True)
    170 

C:\ProgramData\Anaconda3\lib\heapq.py in nlargest(n, iterable, key)
    567     # General case, slowest method
    568     it = iter(iterable)
--> 569     result = [(key(elem), i, elem) for i, elem in zip(range(0, -n, -1), it)]
    570     if not result:
    571         return result

C:\ProgramData\Anaconda3\lib\heapq.py in <listcomp>(.0)
    567     # General case, slowest method
    568     it = iter(iterable)
--> 569     result = [(key(elem), i, elem) for i, elem in zip(range(0, -n, -1), it)]
    570     if not result:
    571         return result

C:\ProgramData\Anaconda3\lib\site-packages\fuzzywuzzy\process.py in extractWithoutOrder(query, choices, processor, scorer, score_cutoff)
     76 
     77     # Run the processor on the input query.
---> 78     processed_query = processor(query)
     79 
     80     if len(processed_query) == 0:

C:\ProgramData\Anaconda3\lib\site-packages\fuzzywuzzy\utils.py in full_process(s, force_ascii)
     93         s = asciidammit(s)
     94     # Keep only Letters and Numbers (see Unicode docs).
---> 95     string_out = StringProcessor.replace_non_letters_non_numbers_with_whitespace(s)
     96     # Force into lowercase.
     97     string_out = StringProcessor.to_lower_case(string_out)

C:\ProgramData\Anaconda3\lib\site-packages\fuzzywuzzy\string_processing.py in replace_non_letters_non_numbers_with_whitespace(cls, a_string)
     24         numbers with a single white space.
     25         """
---> 26         return cls.regex.sub(" ", a_string)
     27 
     28     strip = staticmethod(string.strip)

TypeError: expected string or bytes-like object

Answer 1

数据帧中可能有nan个值，nan的类型为float并导致错误：

from fuzzywuzzy import process, fuzz
import pandas as pd
import numpy as np

df_nan = pd.DataFrame({'text1': ["quick", "brown", "fox"], "text2": ["hello", np.NaN, "world"]})
df_nan
Out:
   text1  text2
0  quick  hello
1  brown    NaN
2    fox  world

仅是导致相同错误的代码示例：

[process.extract(i, df_nan['text1'], limit=3) for i in df_nan['text2']]
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
...
/usr/local/lib/python3.6/dist-packages/fuzzywuzzy/string_processing.py in replace_non_letters_non_numbers_with_whitespace(cls, a_string)
     24         numbers with a single white space.
     25         """
---> 26         return cls.regex.sub(" ", a_string)
     27 
     28     strip = staticmethod(string.strip)

TypeError: expected string or bytes-like object

使用nan替换某些令牌（选择正确的令牌将是困难且与数据相关的任务，空字符串可能是一个不好的选择）：

df = df_nan.fillna('##SOME_TOKEN##') 
[process.extract(i, df['text1'], limit=3) for i in df['text2']]
Out:
[[('fox', 36, 2), ('brown', 20, 1), ('quick', 0, 0)],
 [('brown', 36, 1), ('fox', 30, 2), ('quick', 18, 0)],
 [('fox', 30, 2), ('brown', 20, 1), ('quick', 0, 0)]]

我想替换或删除所有非字符串值会有所帮助。

尝试在Python中执行模糊匹配

1 个答案: