pastas.stats.signatures.parde_seasonality#
- parde_seasonality(series, normalize=True)[source]#
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
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.