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pastas.stats.signatures.cv_fall_rate#

cv_fall_rate(series, normalize=False, rolling_window='7D')[source]#

Coefficient of Variation in fall rate.

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

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

  • rolling_window (str, optional) – Rolling window to use for smoothing the time series. Default is 7 days. Set to None to disable. See the pandas documentation for more information.

Returns

Coefficient of Variation in fall rate.

Return type

float

Notes

Coefficient of Variation in fall rate [Richter et al., 1996]. The higher the coefficient of variation, the more variable the fall rate is, and vice versa.