plot_history

ExplorationDiagnostics.plot_history(parnames=None, xname=None, select=None, sort=None, top=None, parnames_as_titles=True, show_top_evaluation_indices=False, show_legend=False, subplot_spec=None, **figure_kw)

Print selected parameters versus evaluation index.

Parameters:

parnames: list of strings, optional

List with the names of the parameters to show.

xname: string, optional

Name of the parameter to plot in the x axis. By default is the index of the history DataFrame.

select: dict, optional

Contains a set of rules to filter the dataframe, e.g. ‘f’ : [None, -10.] (get data with f < -10)

sort: dict, optional

A dict containing as keys the names of the parameres to sort by and, as values, a Bool indicating if ordering ascendingly (True) or descendingly (False) e.g. {‘f’: False} sort simulations according to f descendingly.

top: int, optional

Highlight the ‘top’ evaluations of every objective.

parnames_as_titlesbool, optional

Whether to show the parameter names as titles (instead of labels) for a more compact layout.

show_top_evaluation_indicesbool, optional

Whether to show the indices of the top evaluations.

show_legendbool, optional

Whether to show the legend.

subplot_spec: SubplotSpec, optional

The location of the plot in the GridSpec of an existing figure. If not given, a new figure will be created.

**figure_kw

Additional keyword arguments to pass to pyplot.figure. Only used if no subplot_spec is given.