用Pandas过滤DataFrame中的非空行

Question

I have a DataFrame df2022 :

name    comment    product
Mike     good       2432
Tim                 1231   
Nite     bad        2234
Mike                3433 
Tim      bad        3432

I want to filter the rows with the name that is not Mike and the comment that is not blank . I did the following:

df2022new = df2022[(df2022['name'] != 'Mike') & df2022['comment'].isnull()] 

However, it doesn't. It only works with the first part, so I think the second select non-blank part is wrong. What did I miss?

Answer 1

If you set isnull() to == False it will work:

df2022new = df2022[(df2022['name'] != 'Mike') & (df2022['comment'].isnull() == False)]
#   name comment  product
#2  Nite     bad     2234
#4   Tim     bad     3432