pandas.plotting.lag_plot

pandas.plotting.lag_plot(series, lag=1, ax=None, **kwds)

Lag plot for time series.

Parameters:

seriesTime series

laglag of the scatter plot, default 1

axMatplotlib axis object, optional

**kwds

Matplotlib scatter method keyword arguments.

Returns:

class:matplotlib.axis.Axes

Examples

Lag plots are most commonly used to look for patterns in time series data.

Given the following time series

>>> np.random.seed(5)
>>> x = np.cumsum(np.random.normal(loc=1, scale=5, size=50))
>>> s = pd.Series(x)
>>> s.plot()
<AxesSubplot: xlabel='Midrange'>

A lag plot with lag=1 returns

>>> pd.plotting.lag_plot(s, lag=1)
<AxesSubplot: xlabel='y(t)', ylabel='y(t + 1)'>

previous

pandas.plotting.deregister_matplotlib_converters

next

pandas.plotting.parallel_coordinates