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UserWarning thrown when all values are "bad", but not when only some are #18294

Closed
#25547
Closed
UserWarning thrown when all values are "bad", but not when only some are#18294
#25547
Milestone
v3.7.2
@ivirshup

Description

@ivirshup
ivirshup
opened on Aug 19, 2020

Bug report

Bug summary

If all values passed as colors are "bad" (np.nan), a warning is thrown from numpy about converting masked values to null. If some of the values are "bad", this does not happen.

Code for reproduction

import numpy as np, matplotlib.pyplot as plt

This does not warn:

c = np.full(10, np.nan)
c[0] = 1.
plt.scatter(np.ones(10), np.ones(10), c=c)
plt.show()

This does:

plt.scatter(np.ones(10), np.ones(10), c=np.full(10, np.nan))
plt.show()
<__array_function__ internals>:5: UserWarning: Warning: converting a masked element to nan.
/usr/local/lib/python3.8/site-packages/numpy/core/_asarray.py:85: UserWarning: Warning: converting a masked element to nan.
  return array(a, dtype, copy=False, order=order)

This is difficult to hide since since the warning is not thrown when the figure is being constructed, but when it is shown. Here's a full traceback to show this:

Full traceback 
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.8/site-packages/matplotlib/pyplot.py", line 337, in show
    return _backend_mod.show(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/backend_bases.py", line 3544, in show
    cls.mainloop()
  File "/usr/local/lib/python3.8/site-packages/matplotlib/backends/backend_macosx.py", line 171, in mainloop
    _macosx.show()
  File "/usr/local/lib/python3.8/site-packages/matplotlib/backends/backend_macosx.py", line 61, in _draw
    self.figure.draw(renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/figure.py", line 1863, in draw
    mimage._draw_list_compositing_images(
  File "/usr/local/lib/python3.8/site-packages/matplotlib/image.py", line 131, in _draw_list_compositing_images
    a.draw(renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/cbook/deprecation.py", line 411, in wrapper
    return func(*inner_args, **inner_kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 2748, in draw
    mimage._draw_list_compositing_images(renderer, self, artists)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/image.py", line 131, in _draw_list_compositing_images
    a.draw(renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/collections.py", line 931, in draw
    Collection.draw(self, renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/collections.py", line 346, in draw
    self.update_scalarmappable()
  File "/usr/local/lib/python3.8/site-packages/matplotlib/collections.py", line 855, in update_scalarmappable
    self._facecolors = self.to_rgba(self._A, self._alpha)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/cm.py", line 332, in to_rgba
    x = self.norm(x)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/colors.py", line 1048, in __call__
    (vmin,), _ = self.process_value(self.vmin)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/colors.py", line 1012, in process_value
    dtype = np.min_scalar_type(value)
  File "<__array_function__ internals>", line 5, in min_scalar_type
  File "/usr/local/lib/python3.8/site-packages/numpy/ma/core.py", line 4331, in __float__
    warnings.warn("Warning: converting a masked element to nan.", stacklevel=2)
  File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/warnings.py", line 109, in _showwarnmsg
    sw(msg.message, msg.category, msg.filename, msg.lineno,
  File "<stdin>", line 3, in warn_with_traceback
<__array_function__ internals>:5: UserWarning: Warning: converting a masked element to nan.
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.8/site-packages/matplotlib/pyplot.py", line 337, in show
    return _backend_mod.show(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/backend_bases.py", line 3544, in show
    cls.mainloop()
  File "/usr/local/lib/python3.8/site-packages/matplotlib/backends/backend_macosx.py", line 171, in mainloop
    _macosx.show()
  File "/usr/local/lib/python3.8/site-packages/matplotlib/backends/backend_macosx.py", line 61, in _draw
    self.figure.draw(renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/figure.py", line 1863, in draw
    mimage._draw_list_compositing_images(
  File "/usr/local/lib/python3.8/site-packages/matplotlib/image.py", line 131, in _draw_list_compositing_images
    a.draw(renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/cbook/deprecation.py", line 411, in wrapper
    return func(*inner_args, **inner_kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 2748, in draw
    mimage._draw_list_compositing_images(renderer, self, artists)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/image.py", line 131, in _draw_list_compositing_images
    a.draw(renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/collections.py", line 931, in draw
    Collection.draw(self, renderer)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/artist.py", line 41, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/collections.py", line 346, in draw
    self.update_scalarmappable()
  File "/usr/local/lib/python3.8/site-packages/matplotlib/collections.py", line 855, in update_scalarmappable
    self._facecolors = self.to_rgba(self._A, self._alpha)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/cm.py", line 332, in to_rgba
    x = self.norm(x)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/colors.py", line 1048, in __call__
    (vmin,), _ = self.process_value(self.vmin)
  File "/usr/local/lib/python3.8/site-packages/matplotlib/colors.py", line 1019, in process_value
    data = np.asarray(value)
  File "/usr/local/lib/python3.8/site-packages/numpy/core/_asarray.py", line 85, in asarray
    return array(a, dtype, copy=False, order=order)
  File "/usr/local/lib/python3.8/site-packages/numpy/ma/core.py", line 4331, in __float__
    warnings.warn("Warning: converting a masked element to nan.", stacklevel=2)
  File "/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/python3.8/warnings.py", line 109, in _showwarnmsg
    sw(msg.message, msg.category, msg.filename, msg.lineno,
  File "<stdin>", line 3, in warn_with_traceback
/usr/local/lib/python3.8/site-packages/numpy/core/_asarray.py:85: UserWarning: Warning: converting a masked element to nan.
  return array(a, dtype, copy=False, order=order)

Expected outcome

I wouldn't expect the second to warn if the first doesn't.

Matplotlib version

  • Operating system: macOS
  • Matplotlib version: 3.3.1
  • Matplotlib backend (print(matplotlib.get_backend())): MacOSX and module://ipykernel.pylab.backend_inline
  • Python version: 3.8.5
  • Jupyter version (if applicable): Replicates in python repl, but also was happening in ipython and jupyter lab
  • Other libraries:

Installed with pip

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