八叉树体素网格python可视化代码

以下是一个简单的八叉树体素网格python可视化代码示例：

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from octree import Octree

# 创建八叉树
octree = Octree(50, 50, 50)

# 添加一些体素
octree.set_voxel(25, 25, 25)
octree.set_voxel(20, 20, 20)
octree.set_voxel(30, 30, 30)
octree.set_voxel(40, 40, 40)

# 获取八叉树的数据
data = octree.get_data()

# 创建一个三维坐标轴
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# 循环遍历数据并绘制立方体
for voxel in data:
    if voxel:
        ax.scatter(
            voxel[0], voxel[1], voxel[2], 
            c='b', marker='o', s=50, alpha=0.5)

# 设置坐标轴范围
ax.set_xlim(0, 50)
ax.set_ylim(0, 50)
ax.set_zlim(0, 50)

# 显示图形
plt.show()

需要注意的是，这里的`Octree`类需要自己实现。你可以参考以下示例代码：

class Octree:
    def __init__(self, width, height, depth):
        self.width = width
        self.height = height
        self.depth = depth
        self.root = None

    def set_voxel(self, x, y, z):
        if not self.root:
            self.root = OctreeNode(0, 0, 0, self.width, self.height, self.depth)

        self.root.set_voxel(x, y, z)

    def get_data(self):
        if not self.root:
            return []

        return self.root.get_data()

`OctreeNode`类的实现如下：

class OctreeNode:
    def __init__(self, x, y, z, width, height, depth):
        self.x = x
        self.y = y
        self.z = z
        self.width = width
        self.height = height
        self.depth = depth
        self.children = [None] * 8
        self.value = False

    def get_index(self, x, y, z):
        index = 0
        if x >= self.x + self.width / 2:
            index |= 4
        if y >= self.y + self.height / 2:
            index |= 2
        if z >= self.z + self.depth / 2:
            index |= 1
        return index

    def get_child(self, x, y, z):
        index = self.get_index(x, y, z)
        if not self.children[index]:
            w = self.width / 2
            h = self.height / 2
            d = self.depth / 2
            if index == 0:
                self.children[index] = OctreeNode(self.x, self.y, self.z, w, h, d)
            elif index == 1:
                self.children[index] = OctreeNode(self.x, self.y, self.z+d, w, h, d)
            elif index == 2:
                self.children[index] = OctreeNode(self.x, self.y+h, self.z, w, h, d)
            elif index == 3:
                self.children[index] = OctreeNode(self.x, self.y+h, self.z+d, w, h, d)
            elif index == 4:
                self.children[index] = OctreeNode(self.x+w, self.y, self.z, w, h, d)
            elif index == 5:
                self.children[index] = OctreeNode(self.x+w, self.y, self.z+d, w, h, d)
            elif index == 6:
                self.children[index] = OctreeNode(self.x+w, self.y+h, self.z, w, h, d)
            elif index == 7:
                self.children[index] = OctreeNode(self.x+w, self.y+h, self.z+d, w, h, d)
        return self.children[index]

    def set_voxel(self, x, y, z):
        if self.width == 1 and self.height == 1 and self.depth == 1:
            self.value = True
            return

        child = self.get_child(x, y, z)
        child.set_voxel(x, y, z)

        if all(child.value for child in self.children):
            self.value = True

    def get_data(self):
        if self.width == 1 and self.height == 1 and self.depth == 1:
            if self.value:
                return [(self.x, self.y, self.z)]
            else:
                return []

        data = []
        for child in self.children:
            if child:
                data += child.get_data()
        return data

这里的八叉树实现是用来存储体素的，可以将其看作一个三维的布尔数组。我们可以通过`set_voxel(x, y, z)`方法将某一个体素设置为真，然后通过`get_data()`方法获取所有为真的体素的坐标。在绘制时，我们可以将每一个体素看作一个小球（蓝色圆圈）来进行可视化。