Closed
Description
For matplotlib 2.0.0b3 on OSX 10.9, homebrew Python 3.5, matplotlib installed via pip.
This file:
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = np.arange(20)
y = np.arange(20)
x2d, y2d = np.meshgrid(x, y)
x2d, y2d = x2d.ravel(), y2d.ravel()
z = x2d + y2d
ax.bar3d(x2d, y2d, x2d * 0, 1, 1, z)
plt.show()
generates the following error:
Traceback (most recent call last):
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/matplotlib/colors.py", line 133, in to_rgba
rgba = _colors_full_map.cache[c, alpha]
KeyError: (None, None)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/matplotlib/colors.py", line 183, in _to_rgba_no_colorcycle
c = tuple(map(float, c))
TypeError: 'NoneType' object is not iterable
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bar_thing.py", line 12, in <module>
ax.bar3d(x2d, y2d, x2d * 0, 1, 1, z)
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/mpl_toolkits/mplot3d/axes3d.py", line 2459, in bar3d
sfacecolors = self._shade_colors(facecolors, normals)
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/mpl_toolkits/mplot3d/axes3d.py", line 1717, in _shade_colors
color = mcolors.to_rgba_array(color)
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/matplotlib/colors.py", line 228, in to_rgba_array
result[i] = to_rgba(cc, alpha)
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/matplotlib/colors.py", line 135, in to_rgba
rgba = _to_rgba_no_colorcycle(c, alpha)
File "/Users/mb312/Library/Python/3.5/lib/python/site-packages/matplotlib/colors.py", line 185, in _to_rgba_no_colorcycle
raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
ValueError: Invalid RGBA argument: None
Adding color='b' to the arguments to ax.bar3d fixes the error.
Matplotlib 1.5.2 on the same platform, via pip, generates no error.
Maybe there's a bug in the default color handling?