python - numpy and pil reshape arrays -

pil numpy conversion leads arrays like:

a = array([ [[r,g,b],[r,g,b].....[r,g,b],[r,g,b]]  ,  [[r,g,b],[r,g,b.....]] , int8) 

triplets of rgb values; within rows :

a[0] = [[r,g,b],[r,g,b].....[r,g,b],[r,g,b]] = first row 

is there quick way convert such triplets numpy arrays , ford (well especialy back..)

a = [[rrrr],[rrrrr],[rrrrr],.... [bbbbb],[bbbbbb],[bbbbbb]...,[ggggg],[ggg],[ggg]] 

or

like

a=[[rrr],[rrrrr],[....    ...]] **or** aa = [rrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr..]  b=[[bbb],[bbbbb],[....    ...]]**or** bb = [bbbbbbbbbbbbbbbbbbbbbbbbbb..]  c=[[ggg],[ggggg],[....      .]] **or** cc = [ggggggggggggggggggggggggg..] 

my problem have format aa bb cc , know image size 640x480 how fast pill format below

a = array([ [[r,g,b],[r,g,b].....[r,g,b],[r,g,b]]  ,  [[r,g,b],[r,g,b.....]] , int8) 

does a.t give want?

i'm assuming you've created array using numpy's asarray function.

import image, numpy im = image.open('test.png') = numpy.asarray(im) r,g,b,a = a.t 

the above give 4 separate 2d arrays, 1 each band.