pastas.stats.signatures.parde_seasonality
=========================================

.. py:function:: pastas.stats.signatures.parde_seasonality(series: pandas.Series, normalize: bool = True) -> float

   
   Parde seasonality according to :cite:t:`parde_fleuves_1933`, adapted for heads.

   :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

   :returns: Parde seasonality.
   :rtype: float

   .. rubric:: Notes

   Pardé seasonality is the difference between the maximum and minimum Pardé
   coefficient. A Pardé series consists of 12 Pardé coefficients, corresponding to
   12 months. Pardé coefficient for, for example, January is its long-term monthly
   mean head divided by the overall mean head. The higher the Pardé seasonality, the
   more seasonal the head is, and vice versa.















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