Series.dtypes

Series.dtypes return the dtype object of the underlying data

Series.dtype

Series.dtype return the dtype object of the underlying data

Series.dt.year

Series.dt.year The year of the datetime

Series.dt.weekofyear

Series.dt.weekofyear The week ordinal of the year

Series.dt.weekday_name

Series.dt.weekday_name The name of day in a week (ex: Friday) New in version 0.18.1.

Series.dt.weekday

Series.dt.weekday The day of the week with Monday=0, Sunday=6

Series.dt.week

Series.dt.week The week ordinal of the year

Series.dt.tz_localize()

Series.dt.tz_localize(*args, **kwargs) [source] Localize tz-naive DatetimeIndex to given time zone (using pytz/dateutil), or remove timezone from tz-aware DatetimeIndex Parameters: tz : string, pytz.timezone, dateutil.tz.tzfile or None Time zone for time. Corresponding timestamps would be converted to time zone of the TimeSeries. None will remove timezone holding local time. ambiguous : ?infer?, bool-ndarray, ?NaT?, default ?raise? ?infer? will attempt to infer fall dst-transition hours

Series.dt.tz_convert()

Series.dt.tz_convert(*args, **kwargs) [source] Convert tz-aware DatetimeIndex from one time zone to another (using pytz/dateutil) Parameters: tz : string, pytz.timezone, dateutil.tz.tzfile or None Time zone for time. Corresponding timestamps would be converted to time zone of the TimeSeries. None will remove timezone holding UTC time. Returns: normalized : DatetimeIndex Raises: TypeError If DatetimeIndex is tz-naive.

Series.dt.tz

Series.dt.tz