Question

我有一个正则表达式的字典，我想在字典中使用包含复合词的主题和正则表达式来计算匹配。

import pandas as pd


terms = {'animals':"(fox|russian brown deer|bald eagle|arctic fox)",
'people':'(John Adams|Rob|Steve|Superman|Super man)',
'games':'(basketball|basket ball|bball)'
}

df=pd.DataFrame({
'Score': [4,6,2,7,8],
'Foo': ['Superman was looking for a russian brown deer.', 'John adams started to play basket ball with rob yesterday before steve called him','Basketball or bball is a sport played by Steve afterschool','The bald eagle flew pass the arctic fox three times','The fox was sptted playing basket ball?']
})

要计算匹配数，我可以使用与问题类似的代码：Python pandas count number of Regex matches in a string。但它用白色空格分割字符串然后计算不包括复合词的术语。有什么方法可以做到这一点，以便包含空格连接的复合术语？

df1 = df.Foo.str.split(expand=True).stack().reset_index(level=1, drop=True).reset_index(name='Foo')



for k, v in terms.items():
    df1[k] = df1.Foo.str.contains('(?i)(^|\s)'+terms[k]+'($|\s|\.|,|\?)')


df2= df1.groupby('index').sum().astype(int)


df = pd.concat([df,df2], axis=1)
print(df)

最终结果如下：

                                                 Foo  Score  animals  people  \
0     Superman was looking for a russian brown deer.      4        1       1   
1  John adams started to play basket ball with ro...      6        0       3   
2  Basketball or bball is a sport played by Steve...      2        0       1   
3  The bald eagle flew pass the artic fox three t...      7        3       0   
4             The fox was sptted playing basket ball      8        1       0   

   games  
0      0  
1      1  
2      2  
3      0  
4      1

请注意，对于3行，北极狐中的狐狸字和北极狐字应该每次计数一次（共2次）。

Answer 1

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Python pandas计算正则表达式与字符串

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