Matplotlib 3D绘图 - 输入数据的二维格式？

Question

我正在用matplotlib画一个有两个参数的函数。我参考了matplotlib教程中的一个例子，然后用我自己的输入数据进行了修改：X和Y是从-3到3的等间隔数字，Z=peaks(X,Y)，其中peaks是我之前定义的一个函数。请问哪里出错了？

def peaks(x,y):
   xsq=x**2
   ysq=y**2
   xsq_one=(x+1)**2
   ysq_one=(y+1)**2
   m1=3*(1-x)**2
   m2=10*(x/5-x**3-y**5)
   m3=1/3
   return m1*numpy.exp(-xsq-ysq_one)-m2*numpy.exp(-xsq-ysq)-m3*numpy.exp(-xsq_one-ysq)


from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca(projection='3d')
X=Y=numpy.arange(-3,3,0.01).tolist()
Z=[]
for i in range(len(X)):
Z.append(peaks(X[i],Y[i]))

ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
cset = ax.contour(X, Y, Z, zdir='z', offset=-100)
cset = ax.contour(X, Y, Z, zdir='x', offset=-40)
cset = ax.contour(X, Y, Z, zdir='y', offset=40)

ax.set_xlabel('X')
ax.set_xlim(-40, 40)
ax.set_ylabel('Y')
ax.set_ylim(-40, 40)
ax.set_zlabel('Z')
ax.set_zlim(-100, 100)

plt.show()

谢谢你的建议！

Answer 1

之前的答案现在已经不管用了。很遗憾，我提的修改建议被审核者拒绝了，这个修改本来可以让答案变得有效。所以我在这里再次提供同样的答案，不过我做了一个小改动，让它在当前版本的matplotlib中可以正常工作。

    import numpy
    import matplotlib.pyplot as plt
    from mpl_toolkits.mplot3d import axes3d

    def peaks(x,y):
        return x * numpy.sin(y)

    fig = plt.figure()
    ax = fig.gca(projection='3d')
    X = Y= numpy.arange(-3, 3, 0.1).tolist()
    X, Y = numpy.meshgrid(X, Y)

    Z = numpy.zeros(X.shape)
    for i in range(len(X)):
        for j in range(len(Y)):
            Z[i,j] = peaks(X[i,j],Y[i,j])

    ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
    cset = ax.contour(X, Y, Z, zdir='z', offset=-8)
    cset = ax.contour(X, Y, Z, zdir='x', offset=-8)
    cset = ax.contour(X, Y, Z, zdir='y', offset=8)

    ax.set_xlabel('X')
    ax.set_xlim(-8, 8)
    ax.set_ylabel('Y')
    ax.set_ylim(-8, 8)
    ax.set_zlabel('Z')
    ax.set_zlim(-8, 8)

    plt.show()

Answer 2

你需要生成一个网格。X、Y 和 Z 必须是二维数组。

import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d

def peaks(x,y):
    return x * numpy.sin(y)

fig = plt.figure()
ax = fig.gca(projection='3d')
X = Y= numpy.arange(-3, 3, 0.1).tolist()
X, Y = numpy.meshgrid(X, Y)

Z = []
for i in range(len(X)):
    Z.append(peaks(X[i],Y[i]))

# Z must be an array
Z = numpy.array(Z)

ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
cset = ax.contour(X, Y, Z, zdir='z', offset=-8)
cset = ax.contour(X, Y, Z, zdir='x', offset=-8)
cset = ax.contour(X, Y, Z, zdir='y', offset=8)

ax.set_xlabel('X')
ax.set_xlim(-8, 8)
ax.set_ylabel('Y')
ax.set_ylim(-8, 8)
ax.set_zlabel('Z')
ax.set_zlim(-8, 8)

plt.show()