pastas.plotting.modelplots.Plotting.results#
- Plotting.results(tmin=None, tmax=None, figsize=(10, 8), split=False, adjust_height=True, return_warmup=False, block_or_step='step', stderr=False, fig=None, **kwargs)[source]#
Plot different results in one window to get a quick overview.
- Parameters
tmin (str or pandas.Timestamp, optional) –
tmax (str or pandas.Timestamp, optional) –
figsize (tuple, optional) – tuple of size 2 to determine the figure size in inches.
split (bool, optional) – Split the stresses in multiple stresses when possible. Default is False.
adjust_height (bool, optional) – Adjust the height of the graphs, so that the vertical scale of all the subplots on the left is equal. Default is True.
return_warmup (bool, optional) – Show the warmup-period. Default is false.
block_or_step (str, optional) – Plot the block- or step-response on the right. Default is ‘step’.
stderr (bool, optional) – If True the standard error of the parameter values are shown. Please be aware of the conditions for reliable uncertainty estimates, more information here: https://pastas.readthedocs.io/en/master/examples/diagnostic_checking.html
fig (matplotib.Figure instance, optional) – Optionally provide a matplotib.Figure instance to plot onto.
**kwargs (dict, optional) – Optional arguments, passed on to the matplotlib.pyplot.figure method.
- Return type
Examples
>>> ml.plots.results()