pastas.stats.core

The following methods may be used to calculate the crosscorrelation and autocorrelation for a 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	Calculate the autocorrelation function for irregular time steps.
ccf	Method to compute the cross-correlation for irregular time series.
mean	Method to compute the (weighted) mean of a time series.
std	Method to compute the (weighted) variance of a time series.
var	Method to compute the (weighted) variance of a time series.