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

For me this code: df.loc[(df!=0).any(axis=0)] did not work. It returned the exact dataset.

Instead, I used df.loc[:, (df!=0).any(axis=0)] and dropped all the columns with 0 values in the dataset

The function .all() droped all the columns in which are any zero values in my dataset.