pandas.plotting.autocorrelation_plot#
- pandas.plotting.autocorrelation_plot(series, ax=None, **kwargs)[source]#
Autocorrelation plot for time series.
- Parameters
- seriesSeries
The time series to visualize.
- axMatplotlib axis object, optional
The matplotlib axis object to use.
- **kwargs
Options to pass to matplotlib plotting method.
- Returns
- matplotlib.axes.Axes
Examples
The horizontal lines in the plot correspond to 95% and 99% confidence bands.
The dashed line is 99% confidence band.
>>> 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'>