Add method to get measurement dataset that might be used to normalize

xsocs/io/XsocsH5.py

@@ -248,6 +248,34 @@ class XsocsH5(XsocsH5Base):
         path = self.measurement_tpl.format(entry) + '/' + measurement
         return self._get_array_data(path)
 
+    @_process_entry
+    def normalizers(self, entry):
+        """Returns dataset in measurement that might be used to normalize data
+
+        It returns names of scalar values and 1D datasets with same number
+        of elements as images that are available in the measurement group
+
+        :return: Dictionary of {name: data} that might be normalizers
+        :rtype: collections.OrderedDict
+        """
+        normalizers = OrderedDict()
+
+        nb_images = self.n_images(entry)
+
+        path = self.measurement_tpl.format(entry) + '/'
+        with self._get_file() as h5_file:
+            for name, node in h5_file[path].items():
+                if isinstance(node, _h5py.Dataset) and node.dtype.kind in 'iuf':
+                    # Only get (u)int and float datasets
+                    if node.ndim == 0:
+                        # single scalar, make an array of it
+                        normalizers[name] = _np.array([node[()]] * nb_images)
+                    elif node.ndim == 1 and node.shape[0] == nb_images:
+                        # same number of values as number of images
+                        normalizers[name] = node[()]
+
+        return normalizers
+
     @contextmanager
     @_process_entry
     def image_dset_ctx(self,