python - Dropping rows from a Dataframe based on Date -

how can drop rows dataframe df if dates associated df['maturity_dt'] less today's date?

i doing following:

todays_date = datetime.date.today() datenow = datetime.datetime.combine(todays_date, datetime.datetime.min.time()) #converting datetime (i,row) in df.iterrows():     if datetime.datetime.strptime(row['maturity_dt'], '%y-%m-%d %h:%m:%s.%f') < datenow):         df.drop(df.index[i]) 

however, taking long , hoping like: df = df[datetime.datetime.strptime(df['maturity_dt'], '%y-%m-%d %h:%m:%s.%f') < datenow, results in error typeerror: must str, not series

thank you

haven't tried maybe pandas native functions iterate faster. like:

df['dt']=pandas.datetimeindex(df['maturity_dt']) newdf=df.loc[df['dt']<=todays_date].copy()