Bug summary

The documentation says that linewidths can be float or array-like and it defaults to 1.5, but passing an array-like leads to an error

Code for reproduction

import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(projection='3d')
x = range(1, 10)
ax.scatter(x, x, x, marker='o', s=x, linewidth=x)
plt.show()

Actual outcome

Exception:

mpl_toolkits/mplot3d/axes3d.py in do_3d_projection(artist)
    469                     # avoid passing it to them; call this directly once the
    470                     # deprecation has expired.
--> 471                     return artist.do_3d_projection()
    472 
    473                 _api.warn_deprecated(

matplotlib/_api/deprecation.py in wrapper(*inner_args, **inner_kwargs)
    429                          else deprecation_addendum,
    430                 **kwargs)
--> 431         return func(*inner_args, **inner_kwargs)
    432 
    433     return wrapper

mpl_toolkits/mplot3d/art3d.py in do_3d_projection(self, renderer)
    615 
    616         if len(self._linewidths3d) > 1:
--> 617             self._linewidths = self._linewidths3d[z_markers_idx]
    618 
    619         # Re-order items

TypeError: only integer scalar arrays can be converted to a scalar index

gets raised, from:

This is because the type of self._sizes3d is numpy.ndarray, but type of self._linewidths3d is list.

Expected outcome

Array-like linewidth works for 3d plots as it does for 2d plots.

Additional information

• ax.scatter(x, x, x, marker='o', s=x) works fine.
• linewidths is a list regardless of user input type.
• I don't know where linewidths gets converted to a list, but a quick fix is as simple as wrapping it in np.array call: self._linewidths = np.array(self._linewidths3d)[z_markers_idx] (tested that this fixes the issue).

Operating system

No response

Matplotlib Version

3.5.2 but also happens with older versions (3.3.x)

Matplotlib Backend

No response

Python version

No response

Jupyter version

No response

Installation

pip