The first working version

Analyser/ImagingAnalyser.py

@@ -101,8 +101,8 @@ class ImageAnalyser():
         else:
             return imageOD
 
-    def get_Ncount(self, imageOD):
-        return np.sum(imageOD)
+    def get_Ncount(self, dataSet, dim=['x', 'y'], **kwargs):
+        return dataSet.sum(dim=['x', 'y'], **kwargs)
 
     def get_absorption_images(self, dataSet, dask='allowed', keep_attrs=True, **kwargs):
 

ToolFunction/ToolFunction.py

@@ -76,4 +76,33 @@ def seperate_uncertainty(data, dask='parallelized', **kwargs):
             }
         )
 
-    return xr.apply_ufunc(_seperate_uncertainty, data, **kwargs)
+    return xr.apply_ufunc(_seperate_uncertainty, data, **kwargs)
+
+
+def get_scanAxis(dataSet):
+    res = dataSet.scanAxis
+
+    if len(res) == 0:
+        res = [None, None]
+    elif len(res) == 1:
+        res = [res[0], None]
+    elif len(res) == 2 and res[0] == 'runs':
+        res = [res[1], res[0]]
+    
+    return res
+
+def print_scanAxis(dataSet):
+    scanAxis = dataSet.scanAxis
+
+    scan = {}
+
+    for key in scanAxis:
+        scanValue = np.array(dataSet[key])
+        scanValue, indices = np.unique(scanValue, return_index=True)
+        scan.update(
+            {
+                key: scanValue[indices]
+            }
+        )
+    print("The detected scaning axes and values are: /n")
+    print(scan)