如何仅用逗号前第一个出现的单词替换 dataframe 文本列

Question

The dataframe for the problem statement looks like

Name	UID	search_text
B	14	kj
S	2	hsa,isd
D	10	sa,ad,ad
E	99	pid, pd,dd,ef
G	8	dd

I want the dataframe search_text to be stripped and replaced on the 1st word before comma.(I dont want to manually map it and replace). So it would look like.

Name	UID	search_text
B	14	kj
S	2	hsa
D	10	sa
E	99	pid
G	8	dd

Is there any convenient way to do that?

Answer 1

Extract the first alphanumerics in the string

df['search_text'] = df['search_text'].str.extract('(^\w+)')



   Name  UID search_text
0    B   14          kj
1    S    2         hsa
2    D   10          sa
3    E   99         pid
4    G    8          dd

Answer 2

Use Series.str.split

df['search_text'] = df['search_text'].str.split(',').str[0]
print(df)

  Name  UID search_text
0    B   14          kj
1    S    2         hsa
2    D   10          sa
3    E   99         pid
4    G    8          dd