Closed
Description
Bug report
Bug summary
I am puzzled by the following behavior. Is this intended or a bug?
After creating a colorbar, if setting the limits of the color range with a shorter range of vmin,vmax
results in a shrunken colorbar
Code for reproduction
fig, ax = plt.subplots()
data = np.random.random(size=(50,50))
img = ax.imshow(data)
cb = plt.colorbar(img)
# the colorbar is the same height as the plot at this point
#img.set_clim([0.25,0.75]) # running this line will produce a shrunken colorbar
#img.set_clim([-0.25,1.25]) # running this line will change the limits of the colorbar
# and return the colorbar to its original size
Actual outcome
This is the result of a small animation where vmax is increased from 0.5 to 1.5 then back
Expected outcome
I was expecting the colorbar to stay the same size, and only the tick range to change. Certainly the colorbar does not grow when setting a larger range of vmin,vmax
but shrinks when using a smaller range, which seems inconsistent.
Matplotlib version
- Operating system: osx
- Matplotlib version: 3.0.0
- Matplotlib backend (
print(matplotlib.get_backend())
): nbAgg - Python version: Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 11:07:29)
- Jupyter version (if applicable):The version of the notebook server is: 5.7.0
- Other libraries:
Metadata
Metadata
Assignees
Labels
No labels