Closed as not planned
Closed as not planned
Description
Bug summary
For some reason colors.LinearSegmentedColormap.from_list stopped working with colors such as '#E3DBCC', when in previous versions it used to work.
It raises an error in to_rgba_array(colors), but when actually calling colors.to_rgba_array(['#E3DBCC']) it works just fine.
Code for reproduction
import matplotlib.colors as colors
start = '#E3DBCC'
end = '#FF4B33'
color_list = [(0, start), (1, end)]
my_cmap = colors.LinearSegmentedColormap.from_list('my_cmap', color_list)Actual outcome
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[12], line 6
3 end = '#FF4B33'
5 color_list = [(0, start), (1, end)]
----> 6 my_cmap = colors.LinearSegmentedColormap.from_list('my_cmap', color_list)
File ~/mambaforge/envs/tf/lib/python3.9/site-packages/matplotlib/colors.py:1065, in LinearSegmentedColormap.from_list(name, colors, N, gamma)
1062 else:
1063 vals = np.linspace(0, 1, len(colors))
-> 1065 r, g, b, a = to_rgba_array(colors).T
1066 cdict = {
1067 "red": np.column_stack([vals, r, r]),
1068 "green": np.column_stack([vals, g, g]),
1069 "blue": np.column_stack([vals, b, b]),
1070 "alpha": np.column_stack([vals, a, a]),
1071 }
1073 return LinearSegmentedColormap(name, cdict, N, gamma)
File ~/mambaforge/envs/tf/lib/python3.9/site-packages/matplotlib/colors.py:489, in to_rgba_array(c, alpha)
487 raise e
488 if isinstance(c, str):
--> 489 raise ValueError(f"{c!r} is not a valid color value.")
491 if len(c) == 0:
492 return np.zeros((0, 4), float)
ValueError: '#E3DBCC' is not a valid color value.
Expected outcome
I expect the LinearSegmentedColormap to be created successfully.
Additional information
No response
Operating system
OS X 13.1
Matplotlib Version
3.8.0
Matplotlib Backend
'module://matplotlib_inline.backend_inline'
Python version
3.9
Jupyter version
3.6.1
Installation
conda