If you don’t want to use a for loop (which can be very slow for large lists) You can use the scatter command as is with an RGB color list, but you need to specify the colors as a vector of RGB (or RGBA) values between 0 and 1 X = [0, 1, 2] Y … Read more
As a workaround, you could set the direction of the z-label manually by: ax.zaxis.set_rotate_label(False) # disable automatic rotation ax.set_zlabel(‘label text’, rotation=90) Please note that the direction of your z-label also depends on your viewpoint, e.g: import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fg = plt.figure(1); fg.clf() axx = [fg.add_subplot(4,1,1+i, projection=’3d’) for i in range(4)] … Read more
The color palette from Seaborn can be turned into a Matplotlib color map from an instance of a ListedColorMap class initialized with the list of colors in the Seaborn palette with the as_hex() method (as proposed in this original answer). From the Matplotlib documentation, you can generate a legend from a scatter plot with getting … Read more
The code example below provides a way to scale each axis relative to the others. However, to do so you need to modify the Axes3D.get_proj function. Below is an example based on the example provided by matplot lib: http://matplotlib.org/1.4.0/mpl_toolkits/mplot3d/tutorial.html#line-plots (There is a shorter version at the end of this answer) from mpl_toolkits.mplot3d.axes3d import Axes3D from … Read more
Ben Root provided a patch that fixes this for 1.0.1. It can be found as an attachment to the last email of this thread. To quote Ben: Ok, looks like the hiding of the 3d axes was a feature added after the v1.0 release (but before I started working on mplot3d). This patch should enable … Read more
This produces a colorbar (though possibly not the one you need): Replace this line: ax.scatter(xs, ys, zs, c=cs, marker=m) with p = ax.scatter(xs, ys, zs, c=cs, marker=m) then use fig.colorbar(p) near the end
You can trick matplotlib into plotting implicit equations in 3D. Just make a one-level contour plot of the equation for each z value within the desired limits. You can repeat the process along the y and z axes as well for a more solid-looking shape. from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt import numpy … Read more
I guess, you want to plot 4 lines. Then you can try fig = plt.figure() ax = fig.add_subplot(111, projection=’3d’) for i in range(4): ax.plot([VecStart_x[i], VecEnd_x[i]], [VecStart_y[i],VecEnd_y[i]],zs=[VecStart_z[i],VecEnd_z[i]]) As Nicolas has suggested, do have a look at the matplotlib gallery.
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, … Read more
How do I adjust the axis ticks to that of my choosing? I.e., how would I get the z-axis to only label 2, 0, and -2, and in the font size that I want? I know how to do this in 2D but not 3D. You have to change properties of zticks. Why is the … Read more