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

One-liner. No transpose needed:

df.loc[~(df==0).all(axis=1)]

And for those who like symmetry, this also works...

df.loc[(df!=0).any(axis=1)]