diff --git a/Orange/canvas/application/application.py b/Orange/canvas/application/application.py
index f826ccf1c26..a893f73714b 100644
--- a/Orange/canvas/application/application.py
+++ b/Orange/canvas/application/application.py
@@ -15,6 +15,7 @@ def __init__(self, argv):
         if hasattr(Qt, "AA_EnableHighDpiScaling"):
             # Turn on HighDPI support when available
             QApplication.setAttribute(Qt.AA_EnableHighDpiScaling)
+            
         QApplication.__init__(self, argv)
         self.setAttribute(Qt.AA_DontShowIconsInMenus, True)
 
diff --git a/Orange/data/table.py b/Orange/data/table.py
index c8492fbd456..7bd7c5a294f 100644
--- a/Orange/data/table.py
+++ b/Orange/data/table.py
@@ -465,7 +465,7 @@ def from_table_rows(cls, source, row_indices):
         return self
 
     @classmethod
-    def from_numpy(cls, domain, X, Y=None, metas=None, W=None):
+    def from_numpy(cls, domain, X, Y=None, metas=None, W=None, data_attributes=None):
         """
         Construct a table from numpy arrays with the given domain. The number
         of variables in the domain must match the number of columns in the
@@ -482,6 +482,8 @@ def from_numpy(cls, domain, X, Y=None, metas=None, W=None):
         :type metas: np.array
         :param W: array with weights
         :type W: np.array
+        :param data_attributes: dictionary of data attributes 
+        :type data_attributes: OrderedDict
         :return:
         """
         X, Y, W = _check_arrays(X, Y, W, dtype='float64')
@@ -532,7 +534,7 @@ def from_numpy(cls, domain, X, Y=None, metas=None, W=None):
         self.W = W
         self.n_rows = self.X.shape[0]
         cls._init_ids(self)
-        self.attributes = {}
+        self.attributes = data_attributes
         return self
 
     @classmethod
diff --git a/Orange/widgets/data/owmergedata.py b/Orange/widgets/data/owmergedata.py
index eb276976a61..ab3a35e02d0 100644
--- a/Orange/widgets/data/owmergedata.py
+++ b/Orange/widgets/data/owmergedata.py
@@ -369,7 +369,7 @@ def _join_table_by_indices(self, reduced_extra, indices):
         string_cols = [i for i, var in enumerate(domain.metas) if var.is_string]
         metas = self._join_array_by_indices(
             self.data.metas, reduced_extra.metas, indices, string_cols)
-        return Orange.data.Table.from_numpy(domain, X, Y, metas)
+        return Orange.data.Table.from_numpy(domain, X, Y, metas, data_attributes = getattr(self.data, "attributes"))
 
     @staticmethod
     def _join_array_by_indices(left, right, indices, string_cols=None):