Closed
Description
Bug summary
Setting the norm to a LogNorm after the colorbar has been created (e.g. in interactive code) fails with an Invalid vmin value in matplotlib 3.6.3.
The same code worked in previous matplotlib versions.
Not that vmin and vmax are explicitly set to values valid for LogNorm and no negative values (or values == 0) exist in the input data.
Code for reproduction
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
import numpy as np
# create some random data to fill a 2d plot
rng = np.random.default_rng(0)
img = rng.uniform(1, 5, (25, 25))
# plot it
fig, ax = plt.subplots(layout="constrained")
plot = ax.pcolormesh(img)
cbar = fig.colorbar(plot, ax=ax)
vmin = 1
vmax = 5
plt.ion()
fig.show()
plt.pause(0.5)
plot.norm = LogNorm(vmin, vmax)
plot.autoscale()
plt.pause(0.5)Actual outcome
Traceback (most recent call last):
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/backends/backend_qt.py", line 454, in _draw_idle
self.draw()
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/backends/backend_agg.py", line 405, in draw
self.figure.draw(self.renderer)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/artist.py", line 74, in draw_wrapper
result = draw(artist, renderer, *args, **kwargs)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/artist.py", line 51, in draw_wrapper
return draw(artist, renderer)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/figure.py", line 3082, in draw
mimage._draw_list_compositing_images(
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/image.py", line 131, in _draw_list_compositing_images
a.draw(renderer)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/artist.py", line 51, in draw_wrapper
return draw(artist, renderer)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/axes/_base.py", line 3100, in draw
mimage._draw_list_compositing_images(
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/image.py", line 131, in _draw_list_compositing_images
a.draw(renderer)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/artist.py", line 51, in draw_wrapper
return draw(artist, renderer)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/collections.py", line 2148, in draw
self.update_scalarmappable()
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/collections.py", line 891, in update_scalarmappable
self._mapped_colors = self.to_rgba(self._A, self._alpha)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/cm.py", line 511, in to_rgba
x = self.norm(x)
File "/home/mnoethe/.local/conda/envs/cta-dev/lib/python3.9/site-packages/matplotlib/colors.py", line 1694, in __call__
raise ValueError("Invalid vmin or vmax")
ValueError: Invalid vmin or vmax
Expected outcome
Works, colorbar and mappable are updated with new norm.
Additional information
No response
Operating system
Linux
Matplotlib Version
3.6.3 (works with 3.6.2)
Matplotlib Backend
Multpiple backends tested, same error in all (Qt5Agg, TkAgg, agg, ...)
Python version
3.9.15
Jupyter version
not in jupyter
Installation
conda