pandas.Series.dt.month_name#

Series.dt.month_name(locale=None)[source]#

Return the month names with specified locale.

Parameters:

localestr, optional: Locale determining the language in which to return the month name. Default is English locale ('en_US.utf8'). Use the command locale -a on your terminal on Unix systems to find your locale language code.

Returns:

Series or Index: Series or Index of month names.

See also

DatetimeIndex.day_name: Return the day names with specified locale.

Examples

>>> s = pd.Series(pd.date_range(start="2018-01", freq="ME", periods=3))
>>> s
0   2018-01-31
1   2018-02-28
2   2018-03-31
dtype: datetime64[ns]
>>> s.dt.month_name()
0     January
1    February
2       March
dtype: object

>>> idx = pd.date_range(start="2018-01", freq="ME", periods=3)
>>> idx
DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'],
              dtype='datetime64[ns]', freq='ME')
>>> idx.month_name()
Index(['January', 'February', 'March'], dtype='object')

Using the locale parameter 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 = pd.date_range(start="2018-01", freq="ME", periods=3)
>>> idx
DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'],
              dtype='datetime64[ns]', freq='ME')
>>> idx.month_name(locale="pt_BR.utf8")  
Index(['Janeiro', 'Fevereiro', 'Março'], dtype='object')