pastas.stats.signatures.baselevel_stability
===========================================

.. py:function:: pastas.stats.signatures.baselevel_stability(series: pandas.Series, normalize: bool = True, period: str = '30D') -> float

   
   Baselevel stability after :cite:t:`heudorfer_index-based_2019`.

   :param series: Pandas Series with DatetimeIndex and head values.
   :type series: pandas.Series
   :param normalize: normalize the time series to values between zero and one.
   :type normalize: bool, optional
   :param period: Period to resample the time series to, in days (e.g., '10D' or '90D'). Default
                  is 30 days.
   :type period: str, optional

   :returns: Base level stability.
   :rtype: float

   .. rubric:: Notes

   Originally developed for streamflow, here the Base Flow Index algorithm is
   analogously adapted to groundwater time series as a filter to separate the slow
   component (“base level") of the time series. Then, the mean annual base level is
   calculated. Base Level Stability is the difference of maximum and minimum annual
   base level.















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