import numpy as np from matplotlib import cm import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D delta = 0.2 x = np.arange(-3,3,delta) y = np.arange(-3,3,delta) X,Y = np.meshgrid(x,y) Z=X**2 +Y**2 x= X.flatten() y= Y.flatten() z= Z.flatten() fig =plt.figaspect(figsize= (12,6)) ax1 = fig.add_subplot(121,projection = '3d') ax1.plot_trisurf(x,y,z, cmap = cm.jet ,linewidth = 0.01) plt.title("3D") ax2 = fig.add_subplot(122) cs = ax2.contour(X,Y,Z,15,camp = 'jet') ax2.clabel(cs,line = True ,fontsize = 10, fmt= '%1.1f' ) plt.title("Contour") plt.show() 这段代码是否有误

是的，代码有误，主要存在以下几个问题：

1. `from matplotlib import cm` 应该写成 `import matplotlib.cm as cm`。

2. `fig =plt.figaspect(figsize= (12,6))` 应该改为 `fig = plt.figure(figsize=(12, 6))`，这样才能创建一个新的图形对象。

3. `ax2.contour(X,Y,Z,15,camp = 'jet')` 应该将 `camp` 改为 `cmap`。

下面是修改后的代码：

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

delta = 0.2
x = np.arange(-3, 3, delta)
y = np.arange(-3, 3, delta)
X, Y = np.meshgrid(x, y)
Z = X**2 + Y**2

x = X.flatten()
y = Y.flatten()
z = Z.flatten()

fig = plt.figure(figsize=(12, 6))

ax1 = fig.add_subplot(121, projection='3d')
ax1.plot_trisurf(x, y, z, cmap=cm.jet, linewidth=0.01)
ax1.set_title("3D")

ax2 = fig.add_subplot(122)
cs = ax2.contour(X, Y, Z, 15, cmap='jet')
ax2.clabel(cs, line=True, fontsize=10, fmt='%1.1f')
ax2.set_title("Contour")

plt.show()

运行后会生成一个包含 3D 图和等高线图的图形窗口。