I'm trying to read the colors of this palette into a numpy array:
First I get all the colours along a 1-pixel wide column:
im_in = Image.open(inputfile)
im_in = im_in.convert('RGBA').crop((50, 88, 50 + 1, 88 + 1049))
Then I convert the image into a numpy array and use the numpy.unique function to get unique columns.
scale = np.array(im_in).squeeze()
a, indx = np.unique(scale, axis=0, return_index=True)
colors = scale[indx]
Now, the problem is that the order of the colours is not preserved:
cm = LinearSegmentedColormap.from_list('asdf', np.array(colors) / 255,
N=len(colors))
fig, ax = plt.subplots(figsize=(6, 1))
fig.subplots_adjust(bottom=0.5)
norm = mpl.colors.Normalize(vmin=5, vmax=10)
fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cm),
cax=ax, orientation='horizontal', label='Some Units')
fig.show()
And I get this shuffled array:
What am I doing wrong with the unique function?
