剪裁Voronoi船只（pysal.cg.voronoi）

发布于 2025-01-20 06:11:12 字数 871 浏览 0 评论 0原文

直奔问题：给出这些点

[[ 77.51 254.19], [ 75.32 184.45], [ 88.57 83.43], [153. 135.], [196.62 55.78]]

和一个定义边界框的多边形，该边界框应完全被 voronoi 镶嵌块覆盖：[230 0; 230 370； 0 370； 0 0; 230 0]

我使用此代码执行 Voronoi 曲面细分：

from libpysal.cg.voronoi  import voronoi, voronoi_frames

points = np.array(self.__get_coordinates())
bb = box(self.min_x, self.min_y, self.max_x, self.max_y)
region_df, point_df = voronoi_frames(points, clip=bb)

fig, ax = plt.subplots()
plt.plot(*bb.exterior.xy,lw=3)
region_df.plot(ax=ax, color='white', edgecolor='black', lw=3)
point_df.plot(ax=ax, color='red')

其中 min_x=0，min_y=0，max_x=230，max_y=370。不幸的是我得到了这个结果

这是不正确的，因为上面的多边形没有覆盖边界框的其余部分。

知道如何解决这个问题吗？

谢谢：）

原文

straight to the problem: given these points

[[ 77.51 254.19], [ 75.32 184.45], [ 88.57 83.43], [153. 135. ], [196.62 55.78]]

and a polygon that defines the bounding box, which should be covered entirely by voronoi tessels: [230 0; 230 370; 0 370; 0 0; 230 0]

I use this code to perform Voronoi tessellation:

from libpysal.cg.voronoi  import voronoi, voronoi_frames

points = np.array(self.__get_coordinates())
bb = box(self.min_x, self.min_y, self.max_x, self.max_y)
region_df, point_df = voronoi_frames(points, clip=bb)

fig, ax = plt.subplots()
plt.plot(*bb.exterior.xy,lw=3)
region_df.plot(ax=ax, color='white', edgecolor='black', lw=3)
point_df.plot(ax=ax, color='red')

where min_x=0,min_y=0,max_x=230,max_y=370. Unfortunately I obtain this result

which is not correct as the upper polygon do not cover the remaining part of the bounding box.

Any idea on how to fix this?

Thanks :)

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