diff options
Diffstat (limited to 'silx/gui/test/test_colors.py')
| -rwxr-xr-x | silx/gui/test/test_colors.py | 51 |
1 files changed, 43 insertions, 8 deletions
diff --git a/silx/gui/test/test_colors.py b/silx/gui/test/test_colors.py index f83ff58..9e23a93 100755 --- a/silx/gui/test/test_colors.py +++ b/silx/gui/test/test_colors.py @@ -113,6 +113,20 @@ class TestApplyColormapToData(ParametricTestCase): self.assertEqual(len(value), 1) self.assertEqual(value[0, 0], 128) + def testNaNColor(self): + """Test Colormap.applyToData with NaN values""" + colormap = Colormap(name='gray', normalization='linear') + colormap.setNaNColor('red') + self.assertEqual(colormap.getNaNColor(), qt.QColor(255, 0, 0)) + + data = numpy.array([50., numpy.nan]) + image = items.ImageData() + image.setData(numpy.array([[0, 100]])) + value = colormap.applyToData(data, reference=image) + self.assertEqual(len(value), 2) + self.assertTrue(numpy.array_equal(value[0], (128, 128, 128, 255))) + self.assertTrue(numpy.array_equal(value[1], (255, 0, 0, 255))) + class TestDictAPI(unittest.TestCase): """Make sure the old dictionary API is working @@ -436,9 +450,10 @@ class TestObjectAPI(ParametricTestCase): Colormap(name="viridis"), Colormap(normalization=Colormap.SQRT) ] - gamma = Colormap(normalization=Colormap.GAMMA) - gamma.setGammaNormalizationParameter(1.2) - colormaps.append(gamma) + cmap = Colormap(normalization=Colormap.GAMMA) + cmap.setGammaNormalizationParameter(1.2) + cmap.setNaNColor('red') + colormaps.append(cmap) for expected in colormaps: with self.subTest(colormap=expected): state = expected.saveState() @@ -459,6 +474,21 @@ class TestObjectAPI(ParametricTestCase): expected = Colormap(name="viridis", vmin=1, vmax=2, normalization=Colormap.LOGARITHM) self.assertEqual(colormap, expected) + def testStorageV2(self): + state = b'\x00\x00\x00\x10\x00C\x00o\x00l\x00o\x00r\x00m\x00a\x00p\x00'\ + b'\x00\x00\x02\x00\x00\x00\x0e\x00v\x00i\x00r\x00i\x00d\x00i\x00'\ + b's\x00\x00\x00\x00\x06\x00?\xf0\x00\x00\x00\x00\x00\x00\x00\x00'\ + b'\x00\x00\x06\x00@\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x06'\ + b'\x00l\x00o\x00g\x00\x00\x00\x0c\x00m\x00i\x00n\x00m\x00a\x00x' + state = qt.QByteArray(state) + colormap = Colormap() + colormap.restoreState(state) + + expected = Colormap(name="viridis", vmin=1, vmax=2, normalization=Colormap.LOGARITHM) + expected.setGammaNormalizationParameter(1.5) + self.assertEqual(colormap, expected) + + class TestPreferredColormaps(unittest.TestCase): """Test get|setPreferredColormaps functions""" @@ -540,20 +570,25 @@ class TestAutoscaleRange(ParametricTestCase): def testAutoscaleRange(self): nan = numpy.nan + data_std_inside = numpy.array([0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2]) + data_std_inside_nan = numpy.array([0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, numpy.nan]) data = [ # Positive values (Colormap.LINEAR, Colormap.MINMAX, numpy.array([10, 20, 50]), (10, 50)), (Colormap.LOGARITHM, Colormap.MINMAX, numpy.array([10, 50, 100]), (10, 100)), - (Colormap.LINEAR, Colormap.STDDEV3, numpy.array([10, 100]), (-80, 190)), - (Colormap.LOGARITHM, Colormap.STDDEV3, numpy.array([10, 100]), (1, 1000)), + (Colormap.LINEAR, Colormap.STDDEV3, data_std_inside, (0.026671473215424735, 1.9733285267845753)), + (Colormap.LOGARITHM, Colormap.STDDEV3, data_std_inside, (1, 1.6733506885453602)), + (Colormap.LINEAR, Colormap.STDDEV3, numpy.array([10, 100]), (10, 100)), + (Colormap.LOGARITHM, Colormap.STDDEV3, numpy.array([10, 100]), (10, 100)), + # With nan (Colormap.LINEAR, Colormap.MINMAX, numpy.array([10, 20, 50, nan]), (10, 50)), (Colormap.LOGARITHM, Colormap.MINMAX, numpy.array([10, 50, 100, nan]), (10, 100)), - (Colormap.LINEAR, Colormap.STDDEV3, numpy.array([10, 100, nan]), (-80, 190)), - (Colormap.LOGARITHM, Colormap.STDDEV3, numpy.array([10, 100, nan]), (1, 1000)), + (Colormap.LINEAR, Colormap.STDDEV3, data_std_inside_nan, (0.026671473215424735, 1.9733285267845753)), + (Colormap.LOGARITHM, Colormap.STDDEV3, data_std_inside_nan, (1, 1.6733506885453602)), # With negative (Colormap.LOGARITHM, Colormap.MINMAX, numpy.array([10, 50, 100, -50]), (10, 100)), - (Colormap.LOGARITHM, Colormap.STDDEV3, numpy.array([10, 100, -10]), (1, 1000)), + (Colormap.LOGARITHM, Colormap.STDDEV3, numpy.array([10, 100, -10]), (10, 100)), ] for norm, mode, array, expectedRange in data: with self.subTest(norm=norm, mode=mode, array=array): |