pastas.stats.signatures.parde_seasonality#

pastas.stats.signatures.parde_seasonality(series: pandas.Series, normalize: bool = True) → float#

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

Parameters:

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

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

Returns:

Parde seasonality.

Return type:

float

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.