core

Module containing methods to calculate statistics.

Compute core statistics such as variance, mean, standard deviation, moment, cross- and autocorrelation for time series. These methods are ‘special’ in the sense that they are able to deal with irregular time steps often observed in hydrological time series.

Functions

acf(→ pandas.Series | pandas.DataFrame)	Calculate the autocorrelation function for irregular time steps.
ccf(→ pandas.Series | pandas.DataFrame)	Compute the cross-correlation for irregular time series.
mean(→ pastas.typing.ArrayLike)	Compute the (weighted) mean of a time series.
var(→ pastas.typing.ArrayLike)	Compute the (weighted) variance of a time series.
std(→ pastas.typing.ArrayLike)	Compute the (weighted) variance of a time series.
moment(→ float)	Compute the raw moment of an impulse response array.