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voronoi_plot_2d(vor, ax=None, **kw)

Notes

Requires Matplotlib.

Parameters

vor : scipy.spatial.Voronoi instance

Diagram to plot

ax : matplotlib.axes.Axes instance, optional

Axes to plot on

show_points: bool, optional :

Add the Voronoi points to the plot.

show_vertices : bool, optional

Add the Voronoi vertices to the plot.

line_colors : string, optional

Specifies the line color for polygon boundaries

line_width : float, optional

Specifies the line width for polygon boundaries

line_alpha: float, optional :

Specifies the line alpha for polygon boundaries

point_size: float, optional :

Specifies the size of points

Returns

fig : matplotlib.figure.Figure instance

Figure for the plot

Plot the given Voronoi diagram in 2-D

See Also

Voronoi

Examples

Set of point:

>>> import matplotlib.pyplot as plt
... rng = np.random.default_rng()
... points = rng.random((10,2))

Voronoi diagram of the points:

>>> from scipy.spatial import Voronoi, voronoi_plot_2d
... vor = Voronoi(points)

using voronoi_plot_2d for visualisation:

>>> fig = voronoi_plot_2d(vor)

using voronoi_plot_2d for visualisation with enhancements:

>>> fig = voronoi_plot_2d(vor, show_vertices=False, line_colors='orange',
...  line_width=2, line_alpha=0.6, point_size=2)
... plt.show()
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.spatial._qhull.Voronoi scipy.spatial._plotutils.voronoi_plot_2d

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/spatial/_plotutils.py#151
type: <class 'function'>
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