pandas.Series.dt.day_name#

Series.dt.day_name(*args, **kwargs)[source]#

Return the day names with specified locale.

Parameters

localestr, optional: Locale determining the language in which to return the day 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 day names.

Examples

>>> s = pd.Series(pd.date_range(start='2018-01-01', freq='D', periods=3))
>>> s
0   2018-01-01
1   2018-01-02
2   2018-01-03
dtype: datetime64[ns]
>>> s.dt.day_name()
0       Monday
1      Tuesday
2    Wednesday
dtype: object

>>> idx = pd.date_range(start='2018-01-01', freq='D', periods=3)
>>> idx
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'],
              dtype='datetime64[ns]', freq='D')
>>> idx.day_name()
Index(['Monday', 'Tuesday', 'Wednesday'], dtype='object')

Using the locale parameter you can set a different locale language, for example: idx.day_name(locale='pt_BR.utf8') will return day names in Brazilian Portuguese language.

>>> idx = pd.date_range(start='2018-01-01', freq='D', periods=3)
>>> idx
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'],
              dtype='datetime64[ns]', freq='D')
>>> idx.day_name(locale='pt_BR.utf8') 
Index(['Segunda', 'Terça', 'Quarta'], dtype='object')