在scipy.spatial库中,可以使用Voronoi对象来创建和操作Voronoi图。要向Voronoi图添加信息,可以通过以下步骤进行:
from scipy.spatial import Voronoi, voronoi_plot_2d
import numpy as np
points = np.array([[0, 0], [1, 5], [2, 3], [4, 1]])
vor = Voronoi(points)
colors = ['red', 'blue', 'green', 'yellow']
for i, point in enumerate(vor.points):
point.color = colors[i]
for region in vor.regions:
if not -1 in region:
color = vor.points[region[0]].color
print("Region color:", color)
voronoi_plot_2d(vor)
完整的代码示例:
from scipy.spatial import Voronoi, voronoi_plot_2d
import numpy as np
points = np.array([[0, 0], [1, 5], [2, 3], [4, 1]])
vor = Voronoi(points)
colors = ['red', 'blue', 'green', 'yellow']
for i, point in enumerate(vor.points):
point.color = colors[i]
for region in vor.regions:
if not -1 in region:
color = vor.points[region[0]].color
print("Region color:", color)
voronoi_plot_2d(vor)
这是一个简单的示例,展示了如何向scipy.spatial Voronoi图添加信息。你可以根据自己的需求进行扩展和修改。关于scipy.spatial和Voronoi图的更多信息,请参考腾讯云的相关产品和文档链接:
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