dask_expr._collection.Index.autocorr
dask_expr._collection.Index.autocorr¶
- Index.autocorr(lag=1, split_every=False)¶
Compute the lag-N autocorrelation.
This docstring was copied from pandas.core.series.Series.autocorr.
Some inconsistencies with the Dask version may exist.
This method computes the Pearson correlation between the Series and its shifted self.
- Parameters
- lagint, default 1
Number of lags to apply before performing autocorrelation.
- Returns
- float
The Pearson correlation between self and self.shift(lag).
See also
Series.corr
Compute the correlation between two Series.
Series.shift
Shift index by desired number of periods.
DataFrame.corr
Compute pairwise correlation of columns.
DataFrame.corrwith
Compute pairwise correlation between rows or columns of two DataFrame objects.
Notes
If the Pearson correlation is not well defined return ‘NaN’.
Examples
>>> s = pd.Series([0.25, 0.5, 0.2, -0.05]) >>> s.autocorr() 0.10355... >>> s.autocorr(lag=2) -0.99999...
If the Pearson correlation is not well defined, then ‘NaN’ is returned.
>>> s = pd.Series([1, 0, 0, 0]) >>> s.autocorr() nan