filter rows based on a series of columns

Question

i have a dataframe with 50 columns and 7777 rows. the first 4 columns are object type and all the remaining are int type. i would to like to filter the dataframe if all the columns from column 3 to column 50 are zero. kindly help me filter using python

tried:

df.apply(lambda row: row[df.iloc[:,3:].isin(['0'])])

error:

TypeError: Indexing a Series with DataFrame is not supported, use the appropriate DataFrame column

Answer 1

Your filter condition is - rows where all of the values for columns 3+ equal 0. Use DataFrame.loc with the boolean result.

df.loc[(df.iloc[:,3:]=='0').all(axis=1)]

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Indexing and selecting data