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Convert TimeStamp from to yyyy-mm-dd HH in Pandas DataFrame

Time:11-23

Having a Pandas DataFrame with a column of TimeStamp yyyy-mm-dd HH:MM:SS timezone (e.g. 2020-06-01 04:26:00-05:00), how to extract new column with only yyyy-mm-dd HH

Tried:
df.index = df.Time.to_period(freq='T').index


Result in: yyyy-mm-dd HH:MM

CodePudding user response:

you can use:

df['new_date']=df['your_date_columns'].dt.strftime('%Y-%m-%d %H')
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