在 dataframe 中标记包含任意列 = NAN 的行

Question

I have a dataframe that contains 3 columns

Some rows contain a column that has a NaN Value.

I have used checkfornan=df.isnull() to generate a dataframe (checkfornan) that I can used to locate individual values a NaN.

But what I would like to do is add another column in my original dataframe (df) say 'isNaN' and assign a value of True into that column if any other value in the same row is Nan, or False if no values in same column are NaN.

Being new to Dataframe, I am not sure how I use the output from df.isnull() dataframe to combine it with my original dataframe to achieve this?

Any ideas?

thanks

Answer 1

Check if any column is a NaN, create a new column:

df['isNaN'] = df.isnull().any(axis=1)