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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 into_rgba_array(colors)
, but when actually callingcolors.to_rgba_array(['#E3DBCC'])
it works just fine.
Code for reproduction
importmatplotlib.colorsascolorsstart='#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