["python","pandas","contains"]
Search for "does-not-contain" on a DataFrame in pandas

I've done some searching and can't figure out how to filter a dataframe by df["col"].str.contains(word) however I'm wondering if there is a way to do the reverse: filter a dataframe by that set's compliment. eg: to the effect of !(df["col"].str.contains(word)) Can this be done through a DataFrame method?
You can use the invert (~) operator (which acts like a not for boolean data): new_df = df[~df["col"].str.contains(word)] where new_df is the copy returned by RHS. contains also accepts a regular expression... If the above throws a ValueError or TypeError, the reason is likely because you have mixed datatypes, so use na=False: new_df = df[~df["col"].str.contains(word, na=False)] Or, new_df = df[df["col"].str.contains(word) == False]