pandas 删除特定单词之前的所有单词并获取该特定单词之后的前 n 个单词

Question

I have a dataframe like this:

df=pd.DataFrame({'caption':'hello this pack is for you: Jake Peralta. Thanks'})
df

caption
hello this pack is for you: Jake Peralta. Thanks
...
...
...

I'm trying to get the recipient's first and last name here. The format of the caption column is always the same. So delete everything before for you: and get the first 2(this number may change) words after for you:

Answer 1

Takes care of leading spaces in name:

>>> df.caption.str.split(".").str[0].str.split(":").str[1].str.strip()

1    Jake Peralta
Name: caption, dtype: object

Answer 2

here is one way:

df.caption.apply(lambda st: st[st.find(":")+2:st.find(".")])

output:

0     Jake Peralta
Name: caption, dtype: object

Answer 3

May be you can try like this

df['caption'].str.split("for you: ").str[1].str.split('.').str[0]

output:

0    Jake Peralta
1      first last