x : array_like
Array of time-series values
ax : Matplotlib AxesSubplot instance, optional
If given, this subplot is used to plot in instead of a new figure being
created.
lags : int or array_like, optional
int or Array of lag values, used on horizontal axis. Uses
np.arange(lags) when lags is an int. If not provided,
lags=np.arange(len(corr)) is used.
alpha : scalar, optional
If a number is given, the confidence intervals for the given level are
returned. For instance if alpha=.05, 95 % confidence intervals are
returned where the standard deviation is computed according to
Bartlett’s formula. If None, no confidence intervals are plotted.
use_vlines : bool, optional
If True, vertical lines and markers are plotted.
If False, only markers are plotted. The default marker is ‘o’; it can
be overridden with a marker kwarg.
unbiased : bool
If True, then denominators for autocovariance are n-k, otherwise n
fft : bool, optional
If True, computes the ACF via FFT.
title : str, optional
Title to place on plot. Default is ‘Autocorrelation’
zero : bool, optional
Flag indicating whether to include the 0-lag autocorrelation.
Default is True.
**kwargs : kwargs, optional
Optional keyword arguments that are directly passed on to the
Matplotlib plot and axhline functions.
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