[Scipy-tickets] [SciPy] #1192: add ndimage.median function

SciPy Trac scipy-tickets@scipy....
Thu Jun 3 20:10:25 CDT 2010


#1192: add ndimage.median function
---------------------------+------------------------------------------------
 Reporter:  lmwang         |       Owner:  somebody
     Type:  review         |      Status:  new     
 Priority:  normal         |   Milestone:  0.8.0   
Component:  scipy.ndimage  |     Version:          
 Keywords:                 |  
---------------------------+------------------------------------------------
 I added an ndimage.median function to scipy/ndimage/measurements.py,
 simply using labeled_comprehension that is in the trunk and numpy.median.

 {{{
 def median(input, labels = None, index = None):
     """
     Calculate the median of the input array by label.

     Parameters
     ----------

     input : array_like
         median of the values of `input` inside the regions defined by
 `labels`
         are calculated.

     labels : array of integers, same shape as input
         Assign labels to the values of the array.

     index : scalar or array
         A single label number or a sequence of label numbers of
         the objects to be measured.

     Returns
     -------

     output : array
         An array of the median of the values of `input` inside the regions
         defined by `labels`.

     See also
     --------

     mean

     Examples
     --------

     >>> median(array([1,2,8,5, 2,4,6, 7]), labels=array([1,1,1,1, 2,2,2,
 5]))
     4.5
     >>> median(array([1,2,8,5, 2,4,6, 7]), labels=array([1,1,1,1, 2,2,2,
 5]), index=2)
     4
     >>> median(array([1,2,8,5, 2,4,6, 7]), labels=array([1,1,1,1, 2,2,2,
 5]), index=array([1,5]))
     array([3.5, 7])
     >>> median(array([1,2,8,5, 2,4,6, 7]), labels=None, index=None))
     4.5

     """

     return labeled_comprehension(input, labels, index, numpy.median,
 numpy.float, 0.0, pass_positions=False)
 }}}

-- 
Ticket URL: <http://projects.scipy.org/scipy/ticket/1192>
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