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RGBA values produce different result for imshow and for markers #7201
Description
In the following example, I produce 9 colors ranging from completely transparent red to completely opaque red. In the case of imshow, the lighter colors actually end up being closer to gray, whereas for the scatter markers, the colors look as one would expect. What could be causing this?
import numpy as np
import matplotlib.pyplot as plt
data = np.arange(9, dtype=float).reshape((3, 3)) / 8.
color = np.array([1, 0, 0, 1], dtype=float)
array = color * np.ones(data.shape + (4,))
array[:, :, 3] *= data
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.imshow(array, vmin=0, vmax=1, interpolation='nearest')
for i in range(3):
for j in range(3):
ax.scatter(i, j, s=500, facecolor='white', edgecolor='white', alpha=1.0)
ax.scatter(i, j, s=400, facecolor=array[j, i], edgecolor='white')
fig.savefig('colors.png')
Activity
QuLogic commentedon Sep 29, 2016
This works in
2.xas you'd expect:Not sure when it was fixed.
QuLogic commentedon Sep 29, 2016
Maybe a dupe of #5949, but it's fixed by #5718.
QuLogic commentedon Sep 30, 2016
Sorry, that first reference should be to #3343.