How to find which columns contain any NaN value in Pandas dataframe
You can use df.isnull().sum(). It shows all columns and the total NaNs of each feature.
Given a pandas dataframe containing possible NaN values scattered here and there:
Question: How do I determine which columns contain NaN values? In particular, can I get a list of the column names containing NaNs?