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
pandas
dropna()
NA
this works for me new_df = df[df.loc[:]!=0].dropna()
new_df = df[df.loc[:]!=0].dropna()