maxframe.dataframe.Series.dt.month_name#
- Series.dt.month_name(locale=None) npt.NDArray[np.object_]#
Return the month names with specified locale.
- Parameters:
locale (str, optional) – Locale determining the language in which to return the month name. Default is English locale (
'en_US.utf8'). Use the commandlocale -aon your terminal on Unix systems to find your locale language code.- Returns:
Series or Index of month names.
- Return type:
See also
DatetimeIndex.day_nameReturn the day names with specified locale.
Examples
>>> import maxframe.dataframe as md >>> s = md.Series(md.date_range(start="2018-01", freq="ME", periods=3)) >>> s.execute() 0 2018-01-31 1 2018-02-28 2 2018-03-31 dtype: datetime64[us] >>> s.dt.month_name().execute() 0 January 1 February 2 March dtype: str
>>> idx = md.date_range(start="2018-01", freq="ME", periods=3) >>> idx.execute() DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'], dtype='datetime64[us]', freq='ME') >>> idx.month_name().execute() Index(['January', 'February', 'March'], dtype='str')
Using the
localeparameter you can set a different locale language, for example:idx.month_name(locale='pt_BR.utf8')will return month names in Brazilian Portuguese language.>>> idx = md.date_range(start="2018-01", freq="ME", periods=3) >>> idx.execute() DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'], dtype='datetime64[us]', freq='ME') >>> idx.month_name(locale="pt_BR.utf8") Index(['Janeiro', 'Fevereiro', 'Março'], dtype='str')