autocorrelation_plot(series, ax=None, **kwargs)
Options to pass to matplotlib plotting method.
Autocorrelation plot for time series.
The horizontal lines in the plot correspond to 95% and 99% confidence bands.
The dashed line is 99% confidence band.
.. plot::
('context', 'close-figs')
>>> spacing = np.linspace(-9 * np.pi, 9 * np.pi, num=1000)
>>> s = pd.Series(0.7 * np.random.rand(1000) + 0.3 * np.sin(spacing))
>>> pd.plotting.autocorrelation_plot(s)
<AxesSubplot:title={'center':'width'}, xlabel='Lag', ylabel='Autocorrelation'>Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them