pythonfunctionnumpytime-seriesautocorrelation
Trying to calculate autocorrelation coefficient with function
I am trying to replicate this autocorrelation formula, where T is number of samples and k is number of lags.
Solution
The autocorrelation for the first element is 1.0 per definition. For the remaining elements we use a list comprehension (please note that the formula in the questions assumes indexing from 1 to T whereas python arrays are 0 based):
mean = np.mean(x)
denominator = np.sum((x-mean)**2)
[1.0] + [np.sum((x[j:]-mean) * (x[:-j]-mean)) / denominator for j in range(1, len(x))]
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