scipy.spatial.voronoi_plot_2d

scipy.spatial.voronoi_plot_2d(vor, ax=None, **kw)

Plot the given Voronoi diagram in 2-D

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

See also

Voronoi

Notes

Requires Matplotlib.

Examples

Set of point:

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

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()