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Bug report
Bug summary
Providingax.scatter() with coordinates containingnp.nan fails when providingedgecolor 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
importmatplotlib.pyplotaspltimportnumpyasnpfig,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: maskedExpected outcome
Not to fail (and on this example, draw no points; just like without specifyingedgecolor 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.