python中具有三个变量的绘图和函数

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np

# 创建数据
x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)

# 创建3D图形
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# 绘制散点图
ax.scatter(x, y, z)

# 设置坐标轴标签
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')

# 显示图形
plt.show()

import plotly.graph_objects as go
import numpy as np

# 创建数据
x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)

# 创建3D散点图
fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode='markers')])

# 设置布局
fig.update_layout(scene=dict(xaxis_title='X Title', yaxis_title='Y Title', zaxis_title='Z Title'))

# 显示图形
fig.show()

# 调整坐标轴范围
ax.set_xlim([0, 1])
ax.set_ylim([0, 1])
ax.set_zlim([0, 1])

pip install --upgrade plotly