Set zlim in matplotlib scatter3d

Question

I have three lists xs, ys, zs of data points in Python and I am trying to create a 3d plot with matplotlib using the scatter3d method.

import matplotlib.pyplot as plt  fig = plt.figure()   ax = fig.add_subplot(111, projection='3d')   plt.xlim(290)   plt.ylim(301)   ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.scatter(xs, ys, zs)   plt.savefig('dateiname.png') plt.close() 

The plt.xlim() and plt.ylim() work fine, but I don't find a function to set the borders in z-direction. How can I do so?

Answer 1

Simply use the set_zlim function of the axes object (like you already did with set_zlabel, which also isn't available as plt.zlabel):

import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np  xs = np.random.random(10) ys = np.random.random(10) zs = np.random.random(10)  fig = plt.figure()   ax = fig.add_subplot(111, projection='3d')   ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.scatter(xs, ys, zs)   ax.set_zlim(-10,10)