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# scipy.signal.order_filter

`scipy.signal.``order_filter`(a, domain, rank)

  Perform an order filter on an N-dimensional array.

  Perform an order filter on the array in. The domain argument acts as a mask centered over each pixel. The non-zero elements of domain are used to select elements surrounding each input pixel which are placed in a list. The list is sorted, and the output for that pixel is the element corresponding to rank in the sorted list.

  Parameters: | a : ndarray The N-dimensional input array. domain : array_like A mask array with the same number of dimensions as in. Each dimension should have an odd number of elements. rank : int A non-negative integer which selects the element from the sorted list (0 corresponds to the smallest element, 1 is the next smallest element, etc.).
  Returns: | out : ndarray The results of the order filter in an array with the same shape as in.

  Examples

      >>> from scipy import signal
      >>> x = np.arange(25).reshape(5, 5)
      >>> domain = np.identity(3)
      >>> x
      array([[ 0,  1,  2,  3,  4],
             [ 5,  6,  7,  8,  9],
             [10, 11, 12, 13, 14],
             [15, 16, 17, 18, 19],
             [20, 21, 22, 23, 24]])
      >>> signal.order_filter(x, domain, 0)
      array([[  0.,   0.,   0.,   0.,   0.],
             [  0.,   0.,   1.,   2.,   0.],
             [  0.,   5.,   6.,   7.,   0.],
             [  0.,  10.,  11.,  12.,   0.],
             [  0.,   0.,   0.,   0.,   0.]])
      >>> signal.order_filter(x, domain, 2)
      array([[  6.,   7.,   8.,   9.,   4.],
             [ 11.,  12.,  13.,  14.,   9.],
             [ 16.,  17.,  18.,  19.,  14.],
             [ 21.,  22.,  23.,  24.,  19.],
             [ 20.,  21.,  22.,  23.,  24.]])