Drop columns whose name contains a specific string from pandas DataFrame

Question

I have a pandas dataframe with the following column names:

Result1, Test1, Result2, Test2, Result3, Test3, etc...

I want to drop all the columns whose name c

Answer 1

Solution when dropping a list of column names containing regex. I prefer this approach because I'm frequently editing the drop list. Uses a negative filter regex for the drop list.

drop_column_names = ['A','B.+','C.*']
drop_columns_regex = '^(?!(?:'+'|'.join(drop_column_names)+')$)'
print('Dropping columns:',', '.join([c for c in df.columns if re.search(drop_columns_regex,c)]))
df = df.filter(regex=drop_columns_regex,axis=1)