I'm trying to figure out the fastest way to drop columns in df using a list of column names. this is a fancy feature reduction technique.
This is what I am using now, and it is taking forever. Any suggestions are highly appreciated.
for i in important:
if i in important2:
df_reduced.drop(i, axis=1, inplace=True)
use list containing the columns to be dropped
good_bye_list = ['column_1', 'column_2', 'column_3'] df_reduced.drop(good_bye_list, axis=1, inplace=True)