pandas.DatetimeIndex.month_name#

DatetimeIndex.month_name(*args,**kwargs)[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 commandlocale-a on your terminal on Unix systems to find your localelanguage code.

Returns:

Series or Index

Series or Index of month names.

Examples

>>>s=pd.Series(pd.date_range(start='2018-01',freq='ME',periods=3))>>>s0   2018-01-311   2018-02-282   2018-03-31dtype: datetime64[ns]>>>s.dt.month_name()0     January1    February2       Marchdtype: object

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

Using thelocale parameter you can set a different locale language,for example:idx.month_name(locale='pt_BR.utf8') will return monthnames in Brazilian Portuguese language.

>>>idx=pd.date_range(start='2018-01',freq='ME',periods=3)>>>idxDatetimeIndex(['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')