I have loaded a picture into a numpy array using mahotas.
import mahotas
img = mahotas.imread('test.jpg')
Each pixel in img
is represented by an array of RGB values:
img[1,1] = [254, 200, 189]
I have made a 3D scatterplot of R values on one axis, G values on the 2nd axis and B values on the third axis. This is no problem:
fig = plt.figure()
ax = fig.add_subplot(111, projection = '3d')
for i in range(1,img.shape[1]+1):
xs = img[i,1][0]
ys = img[i,1][1]
zs = img[i,1][2]
ax.scatter(xs, ys, zs, c='0.5', marker='o')
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()
(I'm just plotting the first column of the image for the time being).
How can I color each of the scatterplot dots by the color of each image pixel? i.e. I guess I would like to color the dots by their RGB value, but I'm not sure if this is possible?
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