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Module « scipy.spatial »

Fonction voronoi_plot_2d - module scipy.spatial

Signature de la fonction voronoi_plot_2d

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

Description

help(scipy.spatial.voronoi_plot_2d)

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. For degenerate input, including collinearity and
other violations of general position, it may be preferable to
calculate the Voronoi diagram with Qhull options ``QJ`` for random
joggling, or ``Qt`` to enforce triangulated output. Otherwise, some
Voronoi regions may not be visible.

Examples
--------
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> from scipy.spatial import Voronoi, voronoi_plot_2d

Create a set of points for the example:

>>> rng = np.random.default_rng()
>>> points = rng.random((10,2))

Generate the Voronoi diagram for the points:

>>> vor = Voronoi(points)

Use `voronoi_plot_2d` to plot the diagram:

>>> fig = voronoi_plot_2d(vor)

Use `voronoi_plot_2d` to plot the diagram again, with some settings
customized:

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

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