mooplot.plot_pf#

mooplot.plot_pf(data, type='points', filter_dominated=True, **layout_kwargs)[source]#

Plot Pareto fronts.

This function can produce an interactive point graph, stair step graph or 3D surface graph. It accepts 2 or 3 objectives.

Parameters:

  • data (ArrayLike) – Array of numerical values, maybe created by moocore.read_datasets(), where each row gives the coordinates of a point in objective space and the last column defines the sets to which each row of data belongs.

  • type (str, default: 'points') –

    Type of plot. Any of:

    • ’points’ : produces a scatter-like point graph (2 or 3 objectives)

    • ’lines’ : produces a stepped line graph (2 objectives only)

    • ’points,lines’ : produces a stepped line graph with points (2 objective only)

    • ’fill’ : produces a stepped line graph with filled areas between lines. See plot_eaf() (2 objective only)

    • ’surface’ : produces a smoothed 3d surface (3 objective only)

    • ’surface,points’ : produces a smoothed 3d surface with datapoints plotted (3 objective only)

    • ’cube’ : produces a discrete cube surface (3 objective only)

    Abbreviations such as 'p' or 'p,l' are accepted.

  • filter_dominated (bool, default: True) – Whether to automatically filter dominated points within each set. Default is True.

  • layout_kwargs – Update features of the graph such as title axis titles, colours etc. These additional parameters are passed to plotly update_layout. See here for all the layout features that can be accessed: Layout Plotly reference

Returns:

Figure – A Plotly GO figure object: Plotly Figure reference This means that the user can customise any part of the graph after it is created

Examples

>>> x = moocore.get_dataset("input1.dat")
>>> mooplot.plot_pf(x, type="points,lines")  
Figure({...
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