用Python绘制屈服曲线曲面图

import matplotlib.pyplot as plt
import numpy as np

# 生成示例数据
strain = np.linspace(0, 1, 100)  # 应变
stress = 100 * strain**2  # 应力

# 绘制曲线图
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot(strain, stress, strain)

# 设置坐标轴标签
ax.set_xlabel('Strain')
ax.set_ylabel('Stress')
ax.set_zlabel('Strain')

# 显示图形
plt.show()

import plotly.graph_objects as go
import numpy as np

# 生成示例数据
strain = np.linspace(0, 1, 100)  # 应变
stress = 100 * strain**2  # 应力

# 创建图表对象
fig = go.Figure(data=[go.Surface(x=strain, y=stress, z=strain)])

# 设置图表布局
fig.update_layout(
    scene=dict(
        xaxis_title='Strain',
        yaxis_title='Stress',
        zaxis_title='Strain'
    )
)

# 显示图表
fig.show()