tsa.stattools.acovf()

statsmodels.tsa.stattools.acovf(x, unbiased=False, demean=True, fft=False) [source]

Autocovariance for 1D

Parameters:

Parameters:	x : array Time series data. Must be 1d. unbiased : bool If True, then denominators is n-k, otherwise n demean : bool If True, then subtract the mean x from each element of x fft : bool If True, use FFT convolution. This method should be preferred for long time series.
Returns:	acovf : array autocovariance function

x : array

Time series data. Must be 1d.

unbiased : bool

If True, then denominators is n-k, otherwise n

demean : bool

If True, then subtract the mean x from each element of x

fft : bool

If True, use FFT convolution. This method should be preferred for long time series.

Returns:

acovf : array

autocovariance function

Links: