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# pandas.Series.dt.month_name

Series.dt.month_name(*args, **kwargs)

  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.

  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')