Drop rows with specific values in all columns Pandas

Question

I got a dataframe and I want to drop all the rows that contain a value >= 100 in all the columns (in the whole dataframe), not in just one specific column. I tried: df = df[(df < 100).any()] df.drop(df[(df <= 100)].index, inplace=True)

But nothing work... Could you please help?

Answer 1

Once you have the Boolean mask ( df >= 100 or df.ge(100) ) you can select the rows where all values are True with all(axis=1) , then reverse the resulting mask with ~ to select the desired rows from the original df.

df = df[~df.ge(100).all(axis=1)]