Drop rows with all zeros in pandas data frame

Question

I can use pandas dropna() functionality to remove rows with some or all columns set as NA\'s. Is there an equivalent function for drop

Answer 1

df = df [~( df [ ['kt'  'b'   'tt'  'mky' 'depth', ] ] == 0).all(axis=1) ]

Try this command its perfectly working.