scatter() fails on nan-containing input when providing edgecolor #14301
Description
Bug report
Bug summary
Providing ax.scatter() with coordinates containing np.nan fails when providing edgecolor argument (but works when omitting it). Probably related to #12801 and #12422 introduced in 3.1.0, as it runs as expected with 3.0.3.
Code for reproduction
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
x = [np.nan]
y = [0]
c = ['k']
ax.scatter(x, y, edgecolor=c)Actual outcome
Traceback (most recent call last):
File "D:\test.py", line 9, in <module>
ax.scatter(x, y, edgecolor=c)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\__init__.py", line 1589, in inner
return func(ax, *map(sanitize_sequence, args), **kwargs)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\axes\_axes.py", line 4490, in scatter
alpha=alpha
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\collections.py", line 883, in __init__
Collection.__init__(self, **kwargs)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\collections.py", line 128, in __init__
self.set_edgecolor(edgecolors)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\collections.py", line 728, in set_edgecolor
self._set_edgecolor(c)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\collections.py", line 712, in _set_edgecolor
self._edgecolors = mcolors.to_rgba_array(c, self._alpha)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\colors.py", line 286, in to_rgba_array
result[i] = to_rgba(cc, alpha)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\colors.py", line 177, in to_rgba
rgba = _to_rgba_no_colorcycle(c, alpha)
File "C:\ProgramData\Miniconda3\lib\site-packages\matplotlib\colors.py", line 238, in _to_rgba_no_colorcycle
raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
ValueError: Invalid RGBA argument: masked
Expected outcome
Not to fail (and on this example, draw no points; just like without specifying edgecolor argument).
Matplotlib version
- Operating system: Windows
- Matplotlib version: 3.1.0
- Matplotlib backend (
print(matplotlib.get_backend())): Qt5Agg - Python version: 3.7.3
- Jupyter version (if applicable):
- Other libraries: numpy 1.16.3
Installed from conda-forge.