pastas.stats.signatures.bimodality_coefficient
==============================================

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

   
   Bimodality coefficient after :cite:t:`ellison_effect_1987`.

   :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: Bimodality coefficient.
   :rtype: float

   .. rubric:: Notes

   Squared product moment skewness (s) plus one, divided by product moment kurtosis
   (k):

   ..math::
       b = (s^2 + 1 ) / k

   Adapted from the R 'modes' package. The higher the bimodality coefficient, the more
   bimodal the head distribution is, and vice versa.















   ..
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