Matplotlib - Plot a plane and points in 3D simultaneously

Question

I m trying to plot simultaneously a plane and some points in 3D with Matplotlib. I have no errors just the point will not appear. I can plot at different times some points and planes but never at same time. The part of the code looks like :

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D  point  = np.array([1, 2, 3]) normal = np.array([1, 1, 2])  point2 = np.array([10, 50, 50])  # a plane is a*x+b*y+c*z+d=0 # [a,b,c] is the normal. Thus, we have to calculate # d and we're set d = -point.dot(normal)  # create x,y xx, yy = np.meshgrid(range(10), range(10))  # calculate corresponding z z = (-normal[0] * xx - normal[1] * yy - d) * 1. /normal[2]  # plot the surface plt3d = plt.figure().gca(projection='3d') plt3d.plot_surface(xx, yy, z, alpha=0.2)   #and i would like to plot this point :  ax.scatter(point2[0] , point2[1] , point2[2],  color='green')  plt.show() 

Answer 1

Just to add to @suever's answer, you there's no reason why you can't create the Axes and then plot both the surface and the scatter points on it. Then there's no need to use ax.hold():

# Create the figure fig = plt.figure()  # Add an axes ax = fig.add_subplot(111,projection='3d')  # plot the surface ax.plot_surface(xx, yy, z, alpha=0.2)  # and plot the point  ax.scatter(point2[0] , point2[1] , point2[2],  color='green')