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: 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)
    

