python - delete string in a pandas dataframe -


i have 

df =  pandasdataframe data.

i have second pandas-dataframe (called df_outlier) keys (that exist in df) , want remove them df.

df_outlier

i looking following function - might not right approach. key contains alphanumeric values - letters , numbers. not int.

clean_df = (df['id'] - df_outlier['id'])

any ideas? thanks.

to filter df using multiple values df can use isin, return boolean mask rows values exist in passed in list/series. in order filter out these values use negation operator ~ invert mask:

clean_df = df[~df['id'].isin(df_outlier['id'])]

-

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