add reduction min and max (#486)

* add reduction min and max

closes #441

* add spacing

2 files changed, 27 insertions, 2 deletions

diff --git a/Wrappers/Python/ccpi/framework/framework.py b/Wrappers/Python/ccpi/framework/framework.py
index 968c69c..65121d2 100644
--- a/Wrappers/Python/ccpi/framework/framework.py
+++ b/Wrappers/Python/ccpi/framework/framework.py
@@ -939,6 +939,7 @@ class DataContainer(object):
     def log(self, *args, **kwargs):
         '''Applies log pixel-wise to the DataContainer'''
         return self.pixel_wise_unary(numpy.log, *args, **kwargs)
+    
     #def __abs__(self):
     #    operation = FM.OPERATION.ABS
     #    return self.callFieldMath(operation, None, self.mask, self.maskOnValue)
@@ -981,7 +982,14 @@ class DataContainer(object):
                 return sf
         else:
             raise ValueError('Shapes are not aligned: {} != {}'.format(self.shape, other.shape))
-   
+    
+    def min(self, *args, **kwargs):
+        '''Returns the min pixel value in the DataContainer'''
+        return numpy.min(self.as_array(), *args, **kwargs)
+    
+    def max(self, *args, **kwargs):
+        '''Returns the max pixel value in the DataContainer'''
+        return numpy.max(self.as_array(), *args, **kwargs)
 
     
     
diff --git a/Wrappers/Python/test/test_DataContainer.py b/Wrappers/Python/test/test_DataContainer.py
index d2d5b05..6e297ee 100755
--- a/Wrappers/Python/test/test_DataContainer.py
+++ b/Wrappers/Python/test/test_DataContainer.py
@@ -744,7 +744,24 @@ class TestDataContainer(unittest.TestCase):
         res = numpy.ones_like(d1.as_array()) * 4.
         numpy.testing.assert_array_equal(res, out.as_array())
 
-
+    def test_min(self):
+        print ("test min")
+        ig = ImageGeometry(10,10)     
+        a = numpy.asarray(numpy.linspace(-10,10, num=100, endpoint=True), dtype=numpy.float32)
+        a = a.reshape((10,10))
+        d1 = ig.allocate(1)                                                     
+        d1.fill(a)                                                     
+        self.assertAlmostEqual(d1.min(), -10.)
+
+    def test_max(self):
+        print ("test max")
+        ig = ImageGeometry(10,10)     
+        a = numpy.asarray(numpy.linspace(-10,10, num=100, endpoint=True), dtype=numpy.float32)
+        a = a.reshape((10,10))
+        d1 = ig.allocate(1)                                                     
+        d1.fill(a)                                                     
+        self.assertAlmostEqual(d1.max(), 10.)
+