Regression in 3.4.0rc1 in creating ListedColormap from a set #19544
Description
Bug report
Bug summary
Apparently I have some code that creates a ListedColormap object from a set of RGB tuples (I'm not sure why) and this fails on the 3.4.0 release candidate, but didn't previously.
Code for reproduction
import matplotlib as mpl
print(mpl.__version__)
colors = [(0, .5, 1), (1, .2, .5), (.4, 1, .2)]
cmap = mpl.colors.ListedColormap(set(colors))
print(cmap([0, .5, 1]))Actual outcome
3.4.0rc1
Traceback (most recent call last):
File "mpl_debug.py", line 5, in <module>
print(cmap([0, .5, 1]))
File "/Users/mwaskom/miniconda3/envs/mpl34_test/lib/python3.8/site-packages/matplotlib/colors.py", line 598, in __call__
self._init()
File "/Users/mwaskom/miniconda3/envs/mpl34_test/lib/python3.8/site-packages/matplotlib/colors.py", line 1036, in _init
self._lut[:-3] = to_rgba_array(self.colors)
File "/Users/mwaskom/miniconda3/envs/mpl34_test/lib/python3.8/site-packages/matplotlib/colors.py", line 369, in to_rgba_array
rgba = np.column_stack([c, np.ones(len(c))])
File "<__array_function__ internals>", line 5, in column_stack
File "/Users/mwaskom/miniconda3/envs/mpl34_test/lib/python3.8/site-packages/numpy/lib/shape_base.py", line 656, in column_stack
return _nx.concatenate(arrays, 1)
File "<__array_function__ internals>", line 5, in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 1 and the array at index 1 has size 3Expected outcome
3.3.2
[[1. 0.2 0.5 1. ]
[0.4 1. 0.2 1. ]
[0. 0.5 1. 1. ]]
Matplotlib version
- Operating system: macos
- Matplotlib version (
import matplotlib; print(matplotlib.__version__)): 3.4.0.rc1 - Matplotlib backend (
print(matplotlib.get_backend())): macosx - Python version: 3.8.x
- Jupyter version (if applicable): na
- Other libraries:
Installed the release candidate by pointing pip at the tarball on the github releases page.