Numpy matrix rotation for any degrees

Question

I try to find a way to apply a matrix rotation of any degrees on my matrix that contains three bands like RGB but values are bigger than (0-255).

It is an example of my data its shape is (100, 100, 3):

 [[ 847.5  877.   886.  ...  821.5  856.5  898. ]
 [ 850.   883.   969.5 ...  885.   878.5  947.5]
 [ 982.   968.5  927.5 ...  909.5  958.  1037. ]
 ...
 [ 912.   827.   893.  ... 1335.  1180.  1131. ]
 [ 954.   855.5  882.  ... 1252.  1266.  1335. ]
 [ 984.   916.   930.  ... 1080.5 1278.  1385.5]]

I found a function scipy.misc.imrotate(image_array, 20) but the problem is this function rescales my data to the range (0-255), thus I loose information of my original matrix. Is there a function that does the same job as the previous one without rescaling data ?

Answer 1

Have you tried rotate function from scipy.ndimage?

import numpy as np
from scipy.ndimage import rotate

x = np.random.randint(800, 1000, size=[100, 100, 3])
rotated = rotate(x, angle=45)

It does rotate matrix without scaling the values.