Search for “does-not-contain” on a DataFrame in pandas

Question

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

Answer 1

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...

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If the above throws a ValueError, 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]