title: Numpy matrix rotation for any degrees
body: <p>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).</p>
  
  <p>It is an example of my data its shape is (100, 100, 3):</p>
  
  <pre><code> [[ 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]]
  </code></pre>
  
  <p>I found a function <code>scipy.misc.imrotate(image_array, 20)</code> 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 ?</p>