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

Replace the zeros with nan and then drop the rows with all entries as nan. After that replace nan with zeros.

import numpy as np
df = df.replace(0, np.nan)
df = df.dropna(how='all', axis=0)
df = df.replace(np.nan, 0)