Closed
Description
Description
Hello, I noticed an odd behaviour with the XYZ_to_Luv function.
(see reproduction code)
Now using numpy.full([2,2,3], ... instead will not produce any error.
As I was using this function in the context of plotting with the CIE Diagrams I cannot use the same array for all the diagrams, though this is a minor annoyance.
Cheers.
Liam.
Code for Reproduction
import numpy
import colour
image = numpy.full([1,1,3], [0.33, 0.6, 0.7])
result = colour.XYZ_to_Luv(image)Exception Message
File "...", line 141, in XYZ_to_Luv
Luv = tstack([L, u, v])
File "...", line 2033, in tstack
a = as_array(a, dtype)
File "...", line 564, in as_array
return np.asarray(a, dtype)
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimension. The detected shape was (3,) + inhomogeneous part.Environment Information
===============================================================================
* *
* Interpreter : *
* python : 3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC *
* v.1929 64 bit (AMD64)] *
* *
* colour-science.org : *
* colour : 0.4.2 *
* *
* Runtime : *
* imageio : 2.31.1 *
* matplotlib : 3.7.2 *
* numpy : 1.25.1 *
* pandas : 2.0.3 *
* scipy : 1.11.1 *
* *
===============================================================================
defaultdict(<class 'dict'>, {'Interpreter': {'python': '3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)]'}, 'colour-science.org': {'colour': '0.4.2'}, 'Runtime': {'imageio': '2.31.1', 'matplotlib': '3.7.2', 'numpy': '1.25.1', 'pandas': '2.0.3', 'scipy': '1.11.1'}})