pandas remove all words before a specific word and get the first n words after that specific word

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:

Asked By: Clegane

||

Source

Answer 1

here is one way :

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

output :

0     Jake Peralta
Name: caption, dtype: object

Answered By: eshirvana

Answer 2

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

Answered By: Deepan

Answer 3

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

Answered By: the_ordinary_guy

pandas remove all words before a specific word and get the first n words after that specific word

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