如何使用python计算数据帧中列中每行上某些字符串/单词的外观

如何计算数据帧中列中每行上某些字符串/单词的外观

例如：

column
=================================================
I am not hungry
He does not angry
I believe him
I can not believe that he does not believe me

然后我想得到每行中出现的单词“not”的总数。我想得到的是：

column                                           |count word "not"
=================================================|================
I am not hungry                                  | 1
He does not angry                                | 1
I believe him                                    | 0
I can not believe that he does not believe me    | 2

---

这是您的代码片段

import pandas as pd
import numpy as np

df1 = {
    'Column':['I am not hungry','He does not angry','I believe him','I can not believe 
         that he does not believe me'],'Count':['0','0','0','0']}
df1 = pd.DataFrame(df1,columns=['Column','Count'])
for ind in df1.index:
    df1['Count'][ind] = df1['Column'][ind].count('not')
print(df1)

这是输出

                                          Column Count
0                                I am not hungry     1
1                              He does not angry     1
2                                  I believe him     0
3  I can not believe that he does not believe me     2

---

如果您愿意，可以使用这一行代码-

df['count word "not"'] = df['column'].apply(lambda x : len([c for c in x.split(' ') if c == 'not']))