matplotlib contours labels in 3D

Question

Is there any way to put contours labels in 3D plots? Clabel is apparently not implemented in 3D

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

x,y = np.meshgrid(np.linspace(-1,1,10),np.linspace(-1,1,10))
z=-(x**2+y**2)

fig,ax = plt.subplots()
C=ax.contour(x,y,z)
ax.clabel(C)

fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
C=ax.contour(x,y,z,zdir='z',offset=-2)
ax.clabel(C)

Answer 1

As clabel is not implemented and the return value is None, there is indeed no point in calling clabel() for the time being. You can use the C.levels attribute to manually add labels to the graph .

It won't have the nice inline feature that hides the contour under the labels though.