pastas.modelplots.Plotting.results#

Plotting.results(tmin=None, tmax=None, figsize=(10, 8), split=False, adjust_height=True, return_warmup=False, block_or_step='step', 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’.

  • fig (Matplotib.Figure instance, optional) – Optionally provide a Matplotib.Figure instance to plot onto.

  • **kwargs (dict, optional) – Optional arguments, passed on to the plt.figure method.

Return type:

list of matplotlib.axes.Axes

Examples

>>> ml.plots.results()