Python matplotlib : plot3D with a color for 4D
Question: I am trying to make a 3D plot from x, y, z points list, and I want to plot
color depending on the values of a fourth variable rho.

Currently I have ;

    
    
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    ax.plot3D(cell_x, cell_y, cell_z, linestyle='None', marker='o', markersize = 5, antialiased=True)
    ax.set_xlim3d(0.45, 0.55)
    ax.set_ylim3d(0.45, 0.55)
    ax.set_zlim3d(0.45, 0.55)
    

How to add cell_rho (my fourth array) as the color of my x, y, z points ? (for
example for a jet colormap).

Thank you very much.

EDIT : I can't use scatter plots because for my 18000 points scatter plots are
very slow compared to plot3d with markers only.


Answer: If you want to display a simple 3D scatterplot, can't you just use `scatter`?  
E.g.,

    
    
    x, y, z = randn(100), randn(100), randn(100)
    fig = plt.figure()
    from mpl_toolkits.mplot3d import Axes3D
    ax = fig.add_subplot(111, projection='3d')
    ax.scatter(x, y, z, c=randn(100))
    plt.show()
    

(I'm running the above code under `python -pylab`.)

![enter image description here](http://i.stack.imgur.com/FRJQw.png)

It seems, on the contrary, that with `plot3D` you must convert your fourth
dimension to RGB tuples.

