S.H Pozveh

you could use df >> mask(X.A.isin([2,3,4]))

do this: from dfply import * columns_to_summarize = ['var1', 'var2', 'var3'] # Use a list comprehension to apply the mean function to all selected columns summary = (df >> summarize_each([X[col].mean()...