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diff --git a/src/silx/gui/data/test/test_numpyaxesselector.py b/src/silx/gui/data/test/test_numpyaxesselector.py
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+# /*##########################################################################
+#
+# Copyright (c) 2016-2019 European Synchrotron Radiation Facility
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+#
+# ###########################################################################*/
+__authors__ = ["V. Valls"]
+__license__ = "MIT"
+__date__ = "29/01/2018"
+
+import os
+import tempfile
+from contextlib import contextmanager
+
+import numpy
+
+from silx.gui.data.NumpyAxesSelector import NumpyAxesSelector
+from silx.gui.utils.testutils import SignalListener
+from silx.gui.utils.testutils import TestCaseQt
+
+import h5py
+
+
+class TestNumpyAxesSelector(TestCaseQt):
+    def test_creation(self):
+        data = numpy.arange(3 * 3 * 3)
+        data.shape = 3, 3, 3
+        widget = NumpyAxesSelector()
+        widget.setVisible(True)
+
+    def test_none(self):
+        data = numpy.arange(3 * 3 * 3)
+        widget = NumpyAxesSelector()
+        widget.setData(data)
+        widget.setData(None)
+        result = widget.selectedData()
+        self.assertIsNone(result)
+
+    def test_output_samedim(self):
+        data = numpy.arange(3 * 3 * 3)
+        data.shape = 3, 3, 3
+        expectedResult = data
+
+        widget = NumpyAxesSelector()
+        widget.setAxisNames(["x", "y", "z"])
+        widget.setData(data)
+        result = widget.selectedData()
+        self.assertTrue(numpy.array_equal(result, expectedResult))
+
+    def test_output_moredim(self):
+        data = numpy.arange(3 * 3 * 3 * 3)
+        data.shape = 3, 3, 3, 3
+        expectedResult = data
+
+        widget = NumpyAxesSelector()
+        widget.setAxisNames(["x", "y", "z", "boum"])
+        widget.setData(data[0])
+        result = widget.selectedData()
+        self.assertIsNone(result)
+        widget.setData(data)
+        result = widget.selectedData()
+        self.assertTrue(numpy.array_equal(result, expectedResult))
+
+    def test_output_lessdim(self):
+        data = numpy.arange(3 * 3 * 3)
+        data.shape = 3, 3, 3
+        expectedResult = data[0]
+
+        widget = NumpyAxesSelector()
+        widget.setAxisNames(["y", "x"])
+        widget.setData(data)
+        result = widget.selectedData()
+        self.assertTrue(numpy.array_equal(result, expectedResult))
+
+    def test_output_1dim(self):
+        data = numpy.arange(3 * 3 * 3)
+        data.shape = 3, 3, 3
+        expectedResult = data[0, 0, 0]
+
+        widget = NumpyAxesSelector()
+        widget.setData(data)
+        result = widget.selectedData()
+        self.assertTrue(numpy.array_equal(result, expectedResult))
+
+    @contextmanager
+    def h5_temporary_file(self):
+        # create tmp file
+        fd, tmp_name = tempfile.mkstemp(suffix=".h5")
+        os.close(fd)
+        data = numpy.arange(3 * 3 * 3)
+        data.shape = 3, 3, 3
+        # create h5 data
+        h5file = h5py.File(tmp_name, "w")
+        h5file["data"] = data
+        yield h5file
+        # clean up
+        h5file.close()
+        os.unlink(tmp_name)
+
+    def test_h5py_dataset(self):
+        with self.h5_temporary_file() as h5file:
+            dataset = h5file["data"]
+            expectedResult = dataset[0]
+
+            widget = NumpyAxesSelector()
+            widget.setData(dataset)
+            widget.setAxisNames(["y", "x"])
+            result = widget.selectedData()
+            self.assertTrue(numpy.array_equal(result, expectedResult))
+
+    def test_data_event(self):
+        data = numpy.arange(3 * 3 * 3)
+        widget = NumpyAxesSelector()
+        listener = SignalListener()
+        widget.dataChanged.connect(listener)
+        widget.setData(data)
+        widget.setData(None)
+        self.assertEqual(listener.callCount(), 2)
+
+    def test_selected_data_event(self):
+        data = numpy.arange(3 * 3 * 3)
+        data.shape = 3, 3, 3
+        widget = NumpyAxesSelector()
+        listener = SignalListener()
+        widget.selectionChanged.connect(listener)
+        widget.setData(data)
+        widget.setAxisNames(["x"])
+        widget.setData(None)
+        self.assertEqual(listener.callCount(), 3)
+        listener.clear()