pastas.stats.dutch.gg
=====================

.. py:function:: pastas.stats.dutch.gg(series: pandas.Series, tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, fill_method: str = 'nearest', limit: int = 0, output: str = 'mean', min_n_meas: int = 16, min_n_years: int = 8, year_offset: str = year_offset + '-MAR') -> pandas.Series | float

   
   Calculate the 'Gemiddelde Grondwaterstand' (Average Groundwater Level).

   :param series: The pandas Series of which the statistic is determined.
   :type series: pandas.Series with a DatetimeIndex
   :param tmin: A Timestamp or str is expected.
                The lowest index to take into account (E.g. '1980-01-01 00:00:00').
   :type tmin: pandas.Timestamp or str, optional
   :param tmax: A Timestamp or str is expected.
                The highest index to take into account (E.g. '2020-01-01 00:00:00').
   :type tmax: pandas.Timestamp or str, optional
   :param fill_method: see .. :mod: pastas.stats.dutch._gxg
   :type fill_method: str, optional
   :param limit: Maximum number of days to fill using fill method, use None to fill nothing.
   :type limit: int or None, optional
   :param output: output type
                  * 'mean' (default) : for mean of yearly values.
                  * 'yearly': for series of yearly values.
                  * 'g3': for series with selected data for calculating statistic.
                  * 'semimonthly': for series with all data points (14th, 28th of each month).
   :type output: str, optional
   :param min_n_meas: Minimum number of measurements per year (at maximum 24).
   :type min_n_meas: int, optional
   :param min_n_years: Minimum number of years.
   :type min_n_years: int, optional
   :param year_offset:
   :type year_offset: resampling offset. Use "YE" for calendar years (jan 1 to dec 31) and
   :param 'YE-MAR' for hydrological years (apr 1 to mar 31).:

   :returns: series of yearly values or mean of yearly values.
   :rtype: pd.Series or scalar

   .. rubric:: Notes

   Classic method resampling the series to every 14th and 28th of the month.















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