Use to_datetime
, there is no need for a format string the parser is man/woman enough to handle it:
In [51]: pd.to_datetime(df['I_DATE']) Out[51]: 0 2012-03-28 14:15:00 1 2012-03-28 14:17:28 2 2012-03-28 14:50:50 Name: I_DATE, dtype: datetime64[ns]
To access the date/day/time component use the dt
accessor:
In [54]: df['I_DATE'].dt.date Out[54]: 0 2012-03-28 1 2012-03-28 2 2012-03-28 dtype: object In [56]: df['I_DATE'].dt.time Out[56]: 0 14:15:00 1 14:17:28 2 14:50:50 dtype: object
You can use strings to filter as an example:
In [59]: df = pd.DataFrame({'date':pd.date_range(start = dt.datetime(2015,1,1), end = dt.datetime.now())}) df[(df['date'] > '2015-02-04') & (df['date'] < '2015-02-10')] Out[59]: date 35 2015-02-05 36 2015-02-06 37 2015-02-07 38 2015-02-08 39 2015-02-09
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