statsmodels.tsa.stattools.ccovf¶
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statsmodels.tsa.stattools.ccovf(x, y, unbiased=True, demean=True)[source]¶ crosscovariance for 1D
Parameters: - y (x,) – time series data
 - unbiased (boolean) – if True, then denominators is n-k, otherwise n
 
Returns: ccovf – autocovariance function
Return type: array
Notes
This uses np.correlate which does full convolution. For very long time series it is recommended to use fft convolution instead.
