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9 changes: 9 additions & 0 deletions pandas/plotting/_misc.py
Original file line number Diff line number Diff line change
Expand Up @@ -633,6 +633,15 @@ def autocorrelation_plot(series: Series, ax: Axes | None = None, **kwargs) -> Ax
"""
Autocorrelation plot for time series.

This method generates an autocorrelation plot for a given time series,
which helps to identify any periodic structure or correlation within the
data across various lags. It shows the correlation of a time series with a
delayed copy of itself as a function of delay. Autocorrelation plots are useful for
checking randomness in a data set. If the data are random, the autocorrelations
should be near zero for any and all time-lag separations. If the data are not
random, then one or more of the autocorrelations will be significantly
non-zero.

Parameters
----------
series : Series
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