python - 如何计算两列之间的模糊比？

Question

开始使用 Pandas。

I have two columns:
A                     B
Something             Something Else
Everything            Evythn
Someone               Cat
Everyone              Evr1

我想计算两列之间每一行的模糊比，因此输出将如下所示:

A                     B                  Ratio
Something             Something Else     12
Everything            Evythn             14
Someone               Cat                10
Everyone              Evr1               20

我怎样才能实现这个目标？两列都在同一个 df 中。

Answer 1

将 lambda 函数与 DataFrame.apply 结合使用:

from fuzzywuzzy import fuzz

df['Ratio'] = df.apply(lambda x: fuzz.ratio(x.A, x.B), axis=1)
#alternative  with list comprehension
#df['Ratio'] = [fuzz.ratio(a, b) for a,b in zip(df.A, df.B)]
print (df)
            A               B  Ratio
0   Something  Something Else     78
1  Everything          Evythn     75
2     Someone             Cat      0
3    Everyone            Evr1     50

编辑:

如果可能，列中缺少一些值，则失败，因此添加 DataFrame.dropna :

print (df)
            A               B
0   Something  Something Else
1  Everything             NaN
2     Someone             Cat
3    Everyone            Evr1

from fuzzywuzzy import fuzz

df['Ratio'] = df.dropna(subset=['A', 'B']).apply(lambda x: fuzz.ratio(x.A, x.B), axis=1)
print (df)
            A               B  Ratio
0   Something  Something Else   78.0
1  Everything             NaN    NaN
2     Someone             Cat    0.0
3    Everyone            Evr1   50.0