You need to use np.transpose
to rearrange dimensions. Now, n x m x 3
is to be converted to 3 x (n*m)
, so send the last axis to the front and shift right the order of the remaining axes (0,1)
. Finally , reshape to have 3
rows. Thus, the implementation would be –
img.transpose(2,0,1).reshape(3,-1)
Sample run –
In [16]: img Out[16]: array([[[155, 33, 129], [161, 218, 6]], [[215, 142, 235], [143, 249, 164]], [[221, 71, 229], [ 56, 91, 120]], [[236, 4, 177], [171, 105, 40]]]) In [17]: img.transpose(2,0,1).reshape(3,-1) Out[17]: array([[155, 161, 215, 143, 221, 56, 236, 171], [ 33, 218, 142, 249, 71, 91, 4, 105], [129, 6, 235, 164, 229, 120, 177, 40]])
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