如何在某些字符之前替换熊猫数据框中的字符串

Question

Here's my dataset

Id  Text
1   Animation_and_Cartoon - Comics and Anime/Cartoon_and_anime
2   Animation_and_Cartoon - Comics and Anime/Manga_and_anime

Expected output is all _ before - is replaced by ' ', but after - is not

Id  Text
1   Animation_and_Cartoon - Comics and Anime/Cartoon_and_anime
2   Animation_and_Cartoon - Comics and Anime/Manga_and_anime

Answer 1

You can use:

df['Text'] = df['Text'].str.replace(
             r'^([^-]+)',
             lambda m: m.group().replace('_and_',' and '),
             regex=True)

Output:

   Id                                                        Text
0   1  Animation and Cartoon - Comics and Anime/Cartoon_and_anime
1   2    Animation and Cartoon - Comics and Anime/Manga_and_anime