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parde_seasonality(series, normalize=True)[source]#

Parde seasonality according to Pardé [1933], adapted for heads.

  • series (pandas.Series) – Pandas Series with DatetimeIndex and head values.

  • normalize (bool, optional) – normalize the time series to values between zero and one.


Parde seasonality.

Return type



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.