Adjusting gridlines on a 3D Matplotlib figure

Question

I'm getting ready for a presentation and I have some example figures of 3D matplotlib figures. However, the gridlines are too light to see on the projected images.

I tried using the grid-method that works for 2D figures:

points = (5*np.random.randn(3, 50)+np.tile(np.arange(1,51), (3, 1))).transpose()
fig = plt.figure(figsize = (10,10))
ax = fig.add_subplot(111, projection='3d') 
ax.scatter(points[:,0], points[:,1], points[:,2])
ax.view_init(elev=0., azim=0)
ax.set_ylim([0, 60])
ax.set_zlim([0, 60])
ax.set_xlim([0, 60])
ax.set_zlabel('Cytokine')
ax.set_ylabel('Parameter')
ax.grid(linewidth=20)

But that doesn't seem to work for 3D figures. Any suggestions?

Answer 1

If to lighten the background of grid, can use setting the pane color more light (eg:white) using Axes3DSubplot object as below.

ax.w_xaxis.pane.set_color('w');
ax.w_yaxis.pane.set_color('w');
ax.w_zaxis.pane.set_color('w');

Or else to highlight the grid lines further, can updated grid color parameter of plot.

plt.rcParams['grid.color'] = "black"