使用Plotly从点云生成曲面网格

import plotly.graph_objects as go
import numpy as np

# 生成随机点云数据
num_points = 1000
x = np.random.rand(num_points)
y = np.random.rand(num_points)
z = np.sin(x * np.pi) * np.cos(y * np.pi)

# 使用Delaunay三角剖分算法创建曲面网格
triangles = go.Delaunay(
    x=x,
    y=y,
    z=z
).simplices

# 创建曲面对象
surface = go.Mesh3d(
    x=x,
    y=y,
    z=z,
    i=triangles[:, 0],
    j=triangles[:, 1],
    k=triangles[:, 2],
)

# 创建图形布局
layout = go.Layout(
    scene=dict(
        xaxis=dict(title='X'),
        yaxis=dict(title='Y'),
        zaxis=dict(title='Z'),
    )
)

# 创建图形对象
fig = go.Figure(data=[surface], layout=layout)

# 显示图形
fig.show()