pastas.plotting.modelplots.Plotting.plot

Plotting.plot(tmin=None, tmax=None, oseries=True, simulation=True, ax=None, figsize=None, legend=True, **kwargs)

Make a plot of the observed and simulated series.

Parameters

• tmin (str or pandas.Timestamp, optional) –

• tmax (str or pandas.Timestamp, optional) –

• oseries (bool, optional) – True to plot the observed time series.

• simulation (bool, optional) – True to plot the simulated time series.

• ax (matplotlib.axes.Axes, optional) – Axes to add the plot to.

• figsize (tuple, optional) – Tuple with the height and width of the figure in inches.

• legend (bool, optional) – Boolean to determine to show the legend (True) or not (False).

Returns

ax – matplotlib axes with the simulated and optionally the observed time series.

Return type

matplotlib.axes.Axes

Examples

>>> ml.plot()