pastas.stats.signatures.parde_seasonality#

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

Parde seasonality according to Pardé (1933).

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

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

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 groundwater head divided by the overall mean groundwater head.