The answer to this question illustrates how scatterplot marker colors can be specified by RGB tuples.
Is it possible to something similar for color meshes, where the color of each x,y pair is given by an RGB tuple rather than as a colormap value?
Asked
Active
Viewed 2,450 times
5
-
Do you mean with `pcolor` or with `pcolormesh`? Just from analogy with the scatterplot, would the `edgecolors` keyword work? – Aug 16 '15 at 03:01
-
1imshow may be what's necessary – Alaya Aug 16 '15 at 03:18
-
***rgb = np.random.random((10, 3))*** is colour definition – dsgdfg Aug 16 '15 at 03:19
-
`imshow` did do the trick. – Alaya Aug 16 '15 at 03:34
-
I have a vague memory that applying pre-existing RGBA values (rather than scalars that mpl color maps for you) is an open issue on github as a feature request. – tacaswell Aug 16 '15 at 03:59
-
1Can you please write up how you used imshow to solve your problem? – tacaswell Aug 16 '15 at 03:59
1 Answers
1
I am not sure if pcolormesh can be easily used to create an rgb image (and I'm interested in the answer to that question myself). However, it is relatively easy to create an rgb image with imshow or axes_grid1.axes_rgb. Summarizing more comprehensive tutorials here and here:
import numpy as np
import pylab as plt
from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
rgb = np.random.random((5, 5, 3))
fig = plt.figure()
ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
ax.imshow_rgb(rgb[:,:,0],rgb[:,:,1],rgb[:,:,2],interpolation='none')
plt.figure()
plt.imshow(rgb,interpolation='none')
The resulting images are shown below:
kadrlica
- 322
- 3
- 15