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scatter - set_facecolors is not working on Axes3D #9725
Description
Bug report
Bug summary
Trying to replicate this code: https://matplotlib.org/examples/animation/rain.html , but in Axes3D does not work, it seems that it is not possible to change the facecolors of the scatter while axes is 3D (it does work in 2d)
Code for reproduction
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import matplotlib.cm as cmx
from mpl_toolkits.mplot3d import Axes3D
plt.figure()
jet = cm = plt.get_cmap('jet')
cNorm = matplotlib.colors.Normalize(vmin=1, vmax=10)
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
cells = 10
ax = plt.subplot(1,1,1, projection='3d')
pos = np.random.uniform(0, 1, (10, 3))
scat = ax.scatter(pos[:,0],pos[:,1],pos[:,2],
edgecolors=None,
facecolors= [scalarMap.to_rgba(1) for cond in range(10)])
scat.set_facecolors([scalarMap.to_rgba(10) for cond in range(10)])
plt.show()
##the dots should be red, but they are blueMatplotlib version
- Operating system: MacOs
- Matplotlib version: 2.1.0
- Matplotlib backend (
print(matplotlib.get_backend())): MacOSX - Python version: 2.7.14
- Jupyter version (if applicable):
- Other libraries:
Activity
[-]scatter, set_facecolors is not working on Axes3D[/-][+]scatter - set_facecolors is not working on Axes3D[/+]afvincent commentedon Nov 9, 2017
@orena1 Thank you for the report :).
I can confirm that the dots were already blue since at least Matplotlib 1.5.3. (they probably never turned red...)
Here is a smaller MWE, with a possible workaround for the moment (though I am not 100% sure why it works):
Attn @WeatherGod
tacaswell commentedon Nov 13, 2017
Moved to 2.2 as this is not a regression.
stippingerm commentedon Jan 8, 2019
This is still an issue. Prior to finding this bug report I posted my own examples as a new bug report because the examples I found were all related to animation just like the context given here. Animation is not the cause.
But, as pointed out in those examples, I believe the issue should be handled together with the issue of coexisting collection-level alpha value and alpha values coming from RGBA colors.
liuzhenqi77 commentedon Jul 5, 2020
Ran into this issue when updating color limits with
scat.clim(), the displayed image fromplt.show()is correct, but saved image withplt.savefig()shows wrong (different) facecolor and edgecolor. Using the suggested workaroundset_3d_properties()works for now.Matplotlib version: Ubuntu 16.04, 3.3.0rc1+149.g8c2fbda, Qt5Agg backend, Python 3.7.6
tacaswell commentedon Jul 5, 2020
@liuzhenqi77 Do you have a mininal example where it looks right on the screen but saving it comes out wrong?
liuzhenqi77 commentedon Jul 5, 2020
@tacaswell I tried more cases, and find that my case could be related to
plt.colorbar(), but I'm not 100% sure. This MWE is adapted from above. They look the same on screen but different as files.My original user case was,
When setting color with
c=, there could be two ways to adjust the color limit:vmaxandvmin, this works forshowbut not forsavefigscat.clim(), this is not working for both cases, although the colorbar changes.