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import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# 定义参数u和v
u = np.linspace(-2, 2, 400)
v = np.linspace(0, 2 * np.pi, 400)
U, V = np.meshgrid(u, v)
# 根据参数方程计算x, y, z
x = np.sqrt(1 + U**2 + V**2) * np.cos(V)
y = np.sqrt(1 + U**2 + V**2) * np.sin(V)
z = U
# 创建图形和坐标轴
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# 绘制曲面
ax.plot_surface(x, y, z, cmap='viridis', edgecolor='none')
# 设置坐标轴标签
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
# 显示图形
plt.show()
print("学号:3004")
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# 定义参数u和v
u = np.linspace(-2, 2, 400)
v = np.linspace(-2, 2, 400)
U, V = np.meshgrid(u, v)
# 根据方程计算x, y, z
X, Y = U, V
Z = X**2 + Y**2
# 创建图形和坐标轴
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# 绘制曲面
ax.plot_surface(X, Y, Z, cmap='viridis', edgecolor='none')
# 设置坐标轴标签
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
# 显示图形
plt.show()
print("学号:3004")