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pastas.plotting.modelplots.Plotting.decomposition#

Plotting.decomposition(tmin=None, tmax=None, ytick_base=True, split=True, figsize=(10, 8), axes=None, name=None, return_warmup=False, min_ylim_diff=None, **kwargs)[source]#

Plot the decomposition of a time-series in the different stresses.

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

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

  • ytick_base (Boolean or float, optional) – Make the ytick-base constant if True, set this base to float if a float.

  • split (bool, optional) – Split the stresses in multiple stresses when possible. Default is True.

  • axes (matplotlib.axes.Axes instance, optional) – Matplotlib Axes instance to plot the figure on to.

  • figsize (tuple, optional) – tuple of size 2 to determine the figure size in inches.

  • name (str, optional) – Name to give the simulated time series in the legend.

  • return_warmup (bool, optional) – Show the warmup-period. Default is false.

  • min_ylim_diff (float, optional) – Float with the difference in the ylimits. Default is None

  • **kwargs (dict, optional) – Optional arguments, passed on to the matplotlib.pyplot.subplots method.

Returns

axes

Return type

list of matplotlib.axes.Axes