pandas value_counts applied to each column

Question

I have a dataframe with numerous columns (≈30) from an external source (csv file) but several of them have no value or always the same. Thus, I would to see qui

Answer 1

you can use df.apply which will apply each column with provided function, in this case counting missing value. This is what it looks like,

df.apply(lambda x: x.isnull().value_counts())