def test_n_dimensional_data(): # Create fake data data = Data(x=np.random.random((2, 3, 4, 5)), y=np.random.random((2, 3, 4, 5)), z=np.random.random((2, 3, 4, 5))) # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) layer_artist = scatter.layers[0] style_widget = scatter._view.layout_style_widgets[layer_artist] style_widget.size_mode = 'Linear' style_widget.size_attribute = data.id['x'] style_widget.color_mode = 'Linear' style_widget.cmap_attribute = data.id['y'] style_widget.cmap = cm.BuGn ga.close()
def test_error_bars(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) scatter.viewer_size = (400, 500) viewer_state = scatter.state viewer_state.x_att = data.id['a'] viewer_state.y_att = data.id['f'] viewer_state.z_att = data.id['z'] layer_state = viewer_state.layers[0] layer_state.xerr_visible = True layer_state.xerr_attribute = data.id['b'] layer_state.yerr_visible = False layer_state.yerr_attribute = data.id['c'] layer_state.zerr_visible = True layer_state.zerr_attribute = data.id['d'] assert viewer_state.line_width == 1 # Check that writing a session works as expected. session_file = tmpdir.join('test_error_bars.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() scatter_r = ga2.viewers[0][0] layer_state = scatter_r.state.layers[0] assert layer_state.xerr_visible assert layer_state.xerr_attribute.label == 'b' assert not layer_state.yerr_visible assert layer_state.yerr_attribute.label == 'c' assert layer_state.zerr_visible assert layer_state.zerr_attribute.label == 'd' assert scatter_r.state.line_width == 1 ga2.close()
def test_session_round_trip(self, tmpdir): self.init_subset() ga = GlueApplication(self.data_collection) ga.show() viewer = ga.new_data_viewer(self.viewer_cls) viewer.add_data(self.data) session_file = tmpdir.join('test_session_round_trip.glu').strpath ga.save_session(session_file) ga.close() ga2 = GlueApplication.restore_session(session_file) ga2.show() viewer2 = ga2.viewers[0][0] data2 = ga2.data_collection[0] assert viewer2.layers[0].layer is data2 assert viewer2.layers[1].layer is data2.subsets[0] ga2.close()
def test_categorical_color_size(tmpdir): # Create fake data data = make_test_data() # Add categorical component data['categorical'] = ['a', 'b'] * 50 dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) viewer_state = scatter.state viewer_state.x_att = data.id['a'] viewer_state.y_att = data.id['b'] viewer_state.z_att = data.id['z'] layer_state = viewer_state.layers[0] layer_state.size_mode = 'Linear' layer_state.size_attribute = data.id['categorical'] layer_state.color_mode = 'Linear' layer_state.cmap_attribute = data.id['categorical'] ga.close()
def test_session_round_trip(self, tmpdir): self.init_subset() ga = GlueApplication(self.data_collection) ga.show() viewer = ga.new_data_viewer(self.viewer_cls) viewer.add_data(self.data) session_file = tmpdir.join('test_session_round_trip.glu').strpath ga.save_session(session_file) ga.close() ga2 = GlueApplication.restore_session(session_file) ga2.show() viewer2 = ga2.viewers[0][0] data2 = ga2.data_collection[0] assert viewer2.layers[0].layer is data2 assert viewer2.layers[1].layer is data2.subsets[0] ga2.close()
def test_layer_visibility_clip(): # Regression test for a bug that meant that updating the clip data setting # caused a layer to become visible even if it shouldn't be # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() volume = ga.new_data_viewer(VispyVolumeViewer) volume.add_data(data) assert volume.layers[0].visible assert volume.layers[0]._multivol.enabled[0] volume.layers[0].visible = False assert not volume.layers[0].visible assert not volume.layers[0]._multivol.enabled[0] volume.state.clip_data = True assert not volume.layers[0].visible assert not volume.layers[0]._multivol.enabled[0] ga.close()
class TestExportPython(BaseTestExportPython): def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(cube=np.random.random((30, 50, 20))) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(ImageViewer) self.viewer.add_data(self.data) # FIXME: On some platforms, using an integer label size # causes some of the labels to be non-deterministically # shifted by one pixel, so we pick a non-round font size # to avoid this. self.viewer.state.x_ticklabel_size = 8.21334111 self.viewer.state.y_ticklabel_size = 8.21334111 def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_simple_att(self, tmpdir): self.viewer.state.x_att = self.data.pixel_component_ids[1] self.viewer.state.y_att = self.data.pixel_component_ids[0] self.assert_same(tmpdir) def test_simple_visual(self, tmpdir): self.viewer.state.layers[0].cmap = plt.cm.RdBu self.viewer.state.layers[0].v_min = 0.2 self.viewer.state.layers[0].v_max = 0.8 self.viewer.state.layers[0].stretch = 'sqrt' self.viewer.state.layers[0].stretch = 'sqrt' self.viewer.state.layers[0].contrast = 0.9 self.viewer.state.layers[0].bias = 0.6 self.assert_same(tmpdir) def test_slice(self, tmpdir): self.viewer.state.x_att = self.data.pixel_component_ids[1] self.viewer.state.y_att = self.data.pixel_component_ids[0] self.viewer.state.slices = (2, 3, 4) self.assert_same(tmpdir) def test_aspect(self, tmpdir): self.viewer.state.aspect = 'auto' self.assert_same(tmpdir) def test_subset(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['cube'] > 0.5) self.assert_same(tmpdir) def test_subset_slice(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['cube'] > 0.5) self.test_slice(tmpdir)
class TestExportPython(BaseTestExportPython): def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(cube=np.random.random((30, 50, 20))) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(ImageViewer) self.viewer.add_data(self.data) # FIXME: On some platforms, using an integer label size # causes some of the labels to be non-deterministically # shifted by one pixel, so we pick a non-round font size # to avoid this. self.viewer.state.x_ticklabel_size = 8.21334111 self.viewer.state.y_ticklabel_size = 8.21334111 def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_simple_att(self, tmpdir): self.viewer.state.x_att = self.data.pixel_component_ids[1] self.viewer.state.y_att = self.data.pixel_component_ids[0] self.assert_same(tmpdir) def test_simple_visual(self, tmpdir): self.viewer.state.layers[0].cmap = plt.cm.RdBu self.viewer.state.layers[0].v_min = 0.2 self.viewer.state.layers[0].v_max = 0.8 self.viewer.state.layers[0].stretch = 'sqrt' self.viewer.state.layers[0].stretch = 'sqrt' self.viewer.state.layers[0].contrast = 0.9 self.viewer.state.layers[0].bias = 0.6 self.assert_same(tmpdir) def test_slice(self, tmpdir): self.viewer.state.x_att = self.data.pixel_component_ids[1] self.viewer.state.y_att = self.data.pixel_component_ids[0] self.viewer.state.slices = (2, 3, 4) self.assert_same(tmpdir) def test_aspect(self, tmpdir): self.viewer.state.aspect = 'auto' self.assert_same(tmpdir) def test_subset(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['cube'] > 0.5) self.assert_same(tmpdir) def test_subset_slice(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['cube'] > 0.5) self.test_slice(tmpdir)
class TestExportPython(BaseTestExportPython): def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(**dict( (name, random_with_nan(100, nan_index=idx + 1)) for idx, name in enumerate('abcdefgh'))) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(HistogramViewer) self.viewer.add_data(self.data) self.viewer.state.x_att = self.data.id['a'] def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_simple_visual(self, tmpdir): self.viewer.state.layers[0].color = 'blue' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_simple_visual_legend(self, tmpdir): self.viewer.state.legend.visible = True self.viewer.state.layers[0].color = 'blue' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_cumulative(self, tmpdir): self.viewer.state.cumulative = True self.assert_same(tmpdir) def test_normalize(self, tmpdir): self.viewer.state.normalize = True self.assert_same(tmpdir) def test_subset(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_subset_legend(self, tmpdir): self.viewer.state.legend.visible = True self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_empty(self, tmpdir): self.viewer.state.x_min = 10 self.viewer.state.x_max = 11 self.viewer.state.hist_x_min = 10 self.viewer.state.hist_x_max = 11 self.assert_same(tmpdir)
def test_save_d3po(tmpdir): from glue.app.qt.application import GlueApplication from glue.viewers.scatter.qt import ScatterViewer from glue.viewers.histogram.qt import HistogramViewer output = tmpdir.join('output.html').strpath d = Data(x=[1, 2, 3], y=[2, 3, 4], label='data') dc = DataCollection([d]) app = GlueApplication(dc) app.new_data_viewer(ScatterViewer, data=d) app.new_data_viewer(HistogramViewer, data=d) save_d3po(app, output, launch=False) app.close()
def test_save_d3po(tmpdir): from glue.app.qt.application import GlueApplication from glue.viewers.scatter.qt import ScatterViewer from glue.viewers.histogram.qt import HistogramViewer output = tmpdir.join('output.html').strpath d = Data(x=[1, 2, 3], y=[2, 3, 4], label='data') dc = DataCollection([d]) app = GlueApplication(dc) app.new_data_viewer(ScatterViewer, data=d) app.new_data_viewer(HistogramViewer, data=d) save_d3po(app, output, launch=False) app.close()
def test_add_data_with_incompatible_subsets(tmpdir): data1 = Data(label="Data 1", x=np.arange(24).reshape((4, 3, 2))) data2 = Data(label="Data 2", y=np.arange(24).reshape((4, 3, 2))) dc = DataCollection([data1, data2]) ga = GlueApplication(dc) ga.show() # Subset is defined in terms of data2, so it's an incompatible subset # for data1 dc.new_subset_group(subset_state=data2.id['y'] > 0.5, label='subset 1') volume = ga.new_data_viewer(VispyVolumeViewer) volume.add_data(data1) ga.close()
class TestExportPython(BaseTestExportPython): def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(**dict((name, random_with_nan(100, nan_index=idx + 1)) for idx, name in enumerate('abcdefgh'))) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(HistogramViewer) self.viewer.add_data(self.data) self.viewer.state.x_att = self.data.id['a'] def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_simple_visual(self, tmpdir): self.viewer.state.layers[0].color = 'blue' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_cumulative(self, tmpdir): self.viewer.state.cumulative = True self.assert_same(tmpdir) def test_normalize(self, tmpdir): self.viewer.state.normalize = True self.assert_same(tmpdir) def test_subset(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_empty(self, tmpdir): self.viewer.state.x_min = 10 self.viewer.state.x_max = 11 self.viewer.state.hist_x_min = 10 self.viewer.state.hist_x_max = 11 self.assert_same(tmpdir)
def test_array_shape(tmpdir): # Create irregularly shaped data cube data = make_test_data((3841, 48, 46)) # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) volume = ga.new_data_viewer(VispyVolumeViewer) volume.add_data(data) viewer_state = volume.state # Get layer artist style editor layer_state = viewer_state.layers[0] layer_state.attribute = data.id['b'] ga.close()
def test_add_data_with_incompatible_subsets(tmpdir): # Regression test for a bug that an error when adding a dataset with an # incompatible subset to a 3D scatter viewer. data1 = Data(label="Data 1", x=[1, 2, 3]) data2 = Data(label="Data 2", y=[4, 5, 6]) dc = DataCollection([data1, data2]) ga = GlueApplication(dc) ga.show() # Subset is defined in terms of data2, so it's an incompatible subset # for data1 dc.new_subset_group(subset_state=data2.id['y'] > 0.5, label='subset 1') scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data1) ga.close()
def test_scatter_remove_layer_artists(tmpdir): # Regression test for a bug that caused layer states to not be removed # when the matching layer artist was removed. This then caused issues when # loading session files. # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) dc.new_subset_group(subset_state=data.id['x'] > 0.5, label='subset 1') scatter.add_subset(data.subsets[0]) assert len(scatter.layers) == 2 assert len(scatter.state.layers) == 2 dc.remove_subset_group(dc.subset_groups[0]) assert len(scatter.layers) == 1 assert len(scatter.state.layers) == 1 # Check that writing a session works as expected. session_file = tmpdir.join('test_scatter_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() ga2.close()
def test_not_all_points_inside_limits(tmpdir): # Regression test for a bug that occurred when not all points were inside # the visible limits and the color or size mode is linear. data1 = Data(label="Data", x=[1, 2, 3]) dc = DataCollection([data1]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data1) scatter.state.layers[0].color_mode = 'Linear' scatter.state.layers[0].size_mode = 'Linear' scatter.state.x_min = -0.1 scatter.state.x_max = 2.1 ga.close()
def test_scatter_remove_layer_artists(tmpdir): # Regression test for a bug that caused layer states to not be removed # when the matching layer artist was removed. This then caused issues when # loading session files. # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) dc.new_subset_group(subset_state=data.id['x'] > 0.5, label='subset 1') scatter.add_subset(data.subsets[0]) assert len(scatter.layers) == 2 assert len(scatter.state.layers) == 2 dc.remove_subset_group(dc.subset_groups[0]) assert len(scatter.layers) == 1 assert len(scatter.state.layers) == 1 # Check that writing a session works as expected. session_file = tmpdir.join('test_scatter_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show()
def test_layer_visibility_after_session(tmpdir): # Regression test for a bug that caused layers to be incorrectly visible # after saving and loading a session file. # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) viewer_state = scatter.state layer_state = viewer_state.layers[0] layer_state.visible = False session_file = tmpdir.join('test_layer_visibility.glu').strpath ga.save_session(session_file) ga.close() ga2 = GlueApplication.restore_session(session_file) ga2.show() scatter_r = ga2.viewers[0][0] viewer_state = scatter_r.state layer_state = viewer_state.layers[0] assert not layer_state.visible # Make sure the multiscat layer is also not visible (this was where the bug was) layer_artist = scatter_r.layers[0] assert not layer_artist._multiscat.layers[layer_artist.id]['visible'] ga2.close()
def test_remove_subset_group(): # Regression test for a bug that meant that removing a subset caused an # error when multiple viewers were present. # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() volume1 = ga.new_data_viewer(VispyVolumeViewer) volume1.add_data(data) volume2 = ga.new_data_viewer(VispyVolumeViewer) volume2.add_data(data) dc.new_subset_group(subset_state=data.id['a'] > 0, label='Subset 1') dc.remove_subset_group(dc.subset_groups[0]) ga.close()
def test_scatter_on_volume(tmpdir): data1 = Data(a=np.arange(60).reshape((3, 4, 5))) data2 = Data(x=[1, 2, 3], y=[2, 3, 4], z=[3, 4, 5]) data3 = Data(b=np.arange(60).reshape((3, 4, 5))) dc = DataCollection([data1, data2, data3]) dc.add_link(LinkSame(data1.pixel_component_ids[2], data2.id['x'])) dc.add_link(LinkSame(data1.pixel_component_ids[1], data2.id['y'])) dc.add_link(LinkSame(data1.pixel_component_ids[0], data2.id['z'])) ga = GlueApplication(dc) ga.show() volume = ga.new_data_viewer(VispyVolumeViewer) volume.add_data(data1) volume.add_data(data2) volume.add_data(data3) # Check that writing a session works as expected. session_file = tmpdir.join('test_scatter_on_volume.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() volume_r = ga2.viewers[0][0] assert len(volume_r.layers) == 3 ga2.close()
def test_scatter_viewer(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) scatter.viewer_size = (400, 500) options = scatter.options_widget() options.x_att = data.id['a'] options.y_att = data.id['f'] options.z_att = data.id['z'] options.x_stretch = 0.5 options.y_stretch = 1.0 options.z_stretch = 2.0 options.x_min = -0.1 options.x_max = 1.1 options.y_min = 0.1 options.y_max = 0.9 options.z_min = 0.2 options.z_max = 0.8 options.visible_box = False # Get layer artist style editor layer_artist = scatter.layers[0] style_widget = scatter._view.layout_style_widgets[layer_artist] style_widget.size_mode = 'Linear' style_widget.size_attribute = data.id['c'] style_widget.size_scaling = 2 style_widget.size_vmin = 0.2 style_widget.size_vmax = 0.8 style_widget.color_mode = 'Linear' style_widget.cmap_attribute = data.id['y'] style_widget.cmap_vmin = 0.1 style_widget.cmap_vmax = 0.9 style_widget.cmap = cm.BuGn # Check that writing a session works as expected. However, this only # works with Glue 0.8 and above, so we skip this test if we are using an # older version. if GLUE_LT_08: return session_file = tmpdir.join('test_scatter_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() scatter_r = ga2.viewers[0][0] assert scatter_r.viewer_size == (400, 500) options = scatter_r.options_widget() assert options.x_att.label == 'a' assert options.y_att.label == 'f' assert options.z_att.label == 'z' assert options.x_stretch == 0.5 assert options.y_stretch == 1.0 assert options.z_stretch == 2.0 assert options.x_min == -0.1 assert options.x_max == 1.1 assert options.y_min == 0.1 assert options.y_max == 0.9 assert options.z_min == 0.2 assert options.z_max == 0.8 assert not options.visible_box layer_artist = scatter_r.layers[0] assert layer_artist.size_mode == 'linear' assert layer_artist.size_attribute.label == 'c' np.testing.assert_allclose(layer_artist.size_scaling, 2, rtol=0.01) assert layer_artist.size_vmin == 0.2 assert layer_artist.size_vmax == 0.8 assert layer_artist.color_mode == 'linear' assert layer_artist.cmap_attribute.label == 'y' assert layer_artist.cmap_vmin == 0.1 assert layer_artist.cmap_vmax == 0.9 assert layer_artist.cmap is cm.BuGn
class BaseTestMatplotlibDataViewer(object): """ Base class to test viewers based on MatplotlibDataViewer. This only runs a subset of tests that relate to functionality implemented in MatplotlibDataViewer and specific viewers are responsible for implementing a more complete test suite. Viewers based on this should inherit from this test class and define the following attributes: * ``data``: an instance of a data object that works by default in the viewer * ``viewer_cls``: the viewer class It is then safe to assume that ``data_collection``, ``viewer``, and ``hub`` are defined when writing tests. """ def setup_method(self, method): if OBJGRAPH_INSTALLED: self.viewer_count_start = self.viewer_count self.data = self.init_data() self.application = GlueApplication() self.session = self.application.session self.hub = self.session.hub self.data_collection = self.session.data_collection self.data_collection.append(self.data) self.viewer = self.viewer_cls(self.session) self.data_collection.register_to_hub(self.hub) self.viewer.register_to_hub(self.hub) def init_subset(self): cid = self.data.main_components[0] self.data_collection.new_subset_group('subset 1', cid > 0) @property def viewer_count(self): app = get_qapp() app.processEvents() obj = objgraph.by_type(self.viewer_cls.__name__) return len(obj) def teardown_method(self, method): if self.viewer is not None: self.viewer.close() self.application.close() # The following is a check to make sure that once the viewer and # application have been closed, there are no leftover references to # the data viewer. This was introduced because there were previously # circular references that meant that viewer instances were not # properly garbage collected, which in turn meant they still reacted # in some cases to events. if OBJGRAPH_INSTALLED: self.viewer = None self.application = None if self.viewer_count > self.viewer_count_start: objgraph.show_backrefs( objgraph.by_type(self.viewer_cls.__name__)) raise ValueError("No net viewers should be created in tests") def test_add_data(self): # Add a dataset with no subsets and make sure the appropriate layer # state and layer artists are created self.viewer.add_data(self.data) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_add_data_with_subset(self): # Make sure that if subsets are present in the data, they are added # automatically self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert self.viewer.layers[0].layer is self.data assert self.viewer.layers[1].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 2 assert self.viewer.state.layers[0].layer is self.data assert self.viewer.state.layers[1].layer is self.data.subsets[0] def test_add_data_then_subset(self): # Make sure that if a subset is created in a dataset that has already # been added to a viewer, the subset gets added self.viewer.add_data(self.data) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data self.init_subset() assert len(self.viewer.layers) == 2 assert self.viewer.layers[0].layer is self.data assert self.viewer.layers[1].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 2 assert self.viewer.state.layers[0].layer is self.data assert self.viewer.state.layers[1].layer is self.data.subsets[0] def init_draw_count(self): self.mpl_counter = MatplotlibDrawCounter(self.viewer.axes.figure) @property def draw_count(self): return self.mpl_counter.draw_count def test_single_draw(self): # Make sure that the number of draws is kept to a minimum self.init_draw_count() self.init_subset() assert self.draw_count == 0 self.viewer.add_data(self.data) assert self.draw_count == 1 def test_update_subset(self): self.init_draw_count() # Check that updating a subset causes the plot to be updated self.init_subset() assert self.draw_count == 0 self.viewer.add_data(self.data) count_before = self.draw_count # Change the subset cid = self.data.main_components[0] self.data.subsets[0].subset_state = cid > 1 # Make sure the figure has been redrawn assert self.draw_count - count_before > 0 def test_double_add_ignored(self): self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 1 self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 1 def test_removing_data_removes_layer_state(self): # Removing data from data collection should remove data from viewer self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 1 self.data_collection.remove(self.data) assert len(self.viewer.state.layers) == 0 def test_removing_data_removes_subsets(self): # Removing data from data collection should remove subsets from viewer self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 2 self.data_collection.remove(self.data) assert len(self.viewer.state.layers) == 0 def test_removing_subset_removes_layers(self): # Removing a layer artist removes the corresponding layer state. We need # to do this with a subset otherwise the viewer is closed self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 self.data_collection.remove_subset_group( self.data_collection.subset_groups[0]) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_removing_layer_artist_removes_layer_state(self): # Removing a layer artist removes the corresponding layer state. We need # to do this with a subset otherwise the viewer is closed self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 # self.layers is a copy so we need to remove from the original list self.viewer._layer_artist_container.remove(self.viewer.layers[1]) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_removing_layer_state_removes_layer_artist(self): # Removing a layer artist removes the corresponding layer state. We need # to do this with a subset otherwise the viewer is closed self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 # self.layers is a copy so we need to remove from the original list self.viewer.state.layers.pop(1) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_new_subset_after_remove_data(self): # Once we remove a dataset, if we make a new subset, it will not be # added to the viewer self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 self.viewer.state.layers.pop(0) self.init_subset() # makes a new subset assert len(self.data.subsets) == 2 assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data.subsets[0] def test_remove_not_present_ignored(self): data = Data(label='not in viewer') self.viewer.remove_data(data) def test_limits_sync(self): viewer_state = self.viewer.state axes = self.viewer.axes if axes.get_adjustable() == 'datalim': pytest.xfail() # Make sure that the viewer state and matplotlib viewer limits and log # settings are in sync. We start by modifying the state and making sure # that the axes follow. viewer_state.x_min = 3 viewer_state.x_max = 9 viewer_state.y_min = -2 viewer_state.y_max = 3 assert axes.get_xlim() == (3, 9) assert axes.get_ylim() == (-2, 3) assert axes.get_xscale() == 'linear' assert axes.get_yscale() == 'linear' viewer_state.x_log = True assert axes.get_xlim() == (3, 9) assert axes.get_ylim() == (-2, 3) assert axes.get_xscale() == 'log' assert axes.get_yscale() == 'linear' viewer_state.y_log = True # FIXME: the limits for y don't seem right, should be adjusted because of log? assert axes.get_xlim() == (3, 9) assert axes.get_ylim() == (-2, 3) assert axes.get_xscale() == 'log' assert axes.get_yscale() == 'log' # Check that changing the axes changes the state # NOTE: at the moment this doesn't work because Matplotlib doesn't # emit events for changing xscale/yscale. This isn't crucial anyway for # glue, but leaving the tests below in case this is fixed some day. The # Matplotlib issue is https://github.com/matplotlib/matplotlib/issues/8439 # axes.set_xscale('linear') # # assert viewer_state.x_min == 3 # assert viewer_state.x_max == 9 # assert viewer_state.y_min == -2 # assert viewer_state.y_max == 3 # assert not viewer_state.x_log # assert viewer_state.y_log # # axes.set_yscale('linear') # # assert viewer_state.x_min == 3 # assert viewer_state.x_max == 9 # assert viewer_state.y_min == -2 # assert viewer_state.y_max == 3 # assert not viewer_state.x_log # assert not viewer_state.y_log viewer_state.x_log = False viewer_state.y_log = False axes.set_xlim(-1, 4) assert viewer_state.x_min == -1 assert viewer_state.x_max == 4 assert viewer_state.y_min == -2 assert viewer_state.y_max == 3 # assert not viewer_state.x_log # assert not viewer_state.y_log axes.set_ylim(5, 6) assert viewer_state.x_min == -1 assert viewer_state.x_max == 4 assert viewer_state.y_min == 5 assert viewer_state.y_max == 6 # assert not viewer_state.x_log # assert not viewer_state.y_log # TODO: the following test should deal gracefully with the fact that # some viewers will want to show a Qt error for IncompatibleDataException def test_add_invalid_data(self): data2 = Data() with pytest.raises(IncompatibleDataException): self.viewer.add_data(data2) # Communication tests def test_ignore_data_add_message(self): self.data_collection.append(self.data) assert len(self.viewer.layers) == 0 def test_update_data_ignored_if_data_not_present(self): self.init_draw_count() self.data_collection.append(self.data) ct0 = self.draw_count self.data.style.color = 'blue' assert self.draw_count == ct0 def test_update_data_processed_if_data_present(self): self.init_draw_count() self.data_collection.append(self.data) self.viewer.add_data(self.data) ct0 = self.draw_count self.data.style.color = 'blue' assert self.draw_count > ct0 def test_add_subset_ignored_if_data_not_present(self): self.data_collection.append(self.data) sub = self.data.new_subset() assert sub not in self.viewer._layer_artist_container def test_add_subset_processed_if_data_present(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() assert sub in self.viewer._layer_artist_container def test_update_subset_ignored_if_not_present(self): # This can be quite a difficult test to pass because it makes sure that # there are absolutely no references to the layer state left over once # a subset is removed - when originally written this identified quite # a few places where references were being accidentally kept, and # resulted in weakref being needed in a number of places. But ultimately # this test should pass! No cheating :) self.init_draw_count() self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() self.viewer.remove_subset(sub) ct0 = self.draw_count sub.style.color = 'blue' assert self.draw_count == ct0 def test_update_subset_processed_if_present(self): self.init_draw_count() self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() ct0 = self.draw_count sub.style.color = 'blue' assert self.draw_count > ct0 def test_data_remove_message(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) self.data_collection.remove(self.data) assert self.data not in self.viewer._layer_artist_container def test_subset_remove_message(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() assert sub in self.viewer._layer_artist_container sub.delete() assert sub not in self.viewer._layer_artist_container def test_session_round_trip(self, tmpdir): self.init_subset() ga = GlueApplication(self.data_collection) ga.show() viewer = ga.new_data_viewer(self.viewer_cls) viewer.add_data(self.data) session_file = tmpdir.join('test_session_round_trip.glu').strpath ga.save_session(session_file) ga.close() ga2 = GlueApplication.restore_session(session_file) ga2.show() viewer2 = ga2.viewers[0][0] data2 = ga2.data_collection[0] assert viewer2.layers[0].layer is data2 assert viewer2.layers[1].layer is data2.subsets[0] ga2.close() def test_apply_roi_undo(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) roi = XRangeROI(1, 2) self.viewer.apply_roi(roi) assert len(self.data.subsets) == 1 lo1 = self.data.subsets[0].subset_state.lo hi1 = self.data.subsets[0].subset_state.hi roi = XRangeROI(0, 3) self.viewer.apply_roi(roi) assert len(self.data.subsets) == 1 lo2 = self.data.subsets[0].subset_state.lo hi2 = self.data.subsets[0].subset_state.hi assert lo2 != lo1 assert hi2 != hi1 self.application.undo() assert len(self.data.subsets) == 1 assert self.data.subsets[0].subset_state.lo == lo1 assert self.data.subsets[0].subset_state.hi == hi1 self.application.redo() assert len(self.data.subsets) == 1 assert self.data.subsets[0].subset_state.lo == lo2 assert self.data.subsets[0].subset_state.hi == hi2 def test_numerical_data_changed(self): self.init_draw_count() self.init_subset() assert self.draw_count == 0 self.viewer.add_data(self.data) assert self.draw_count == 1 data = Data(label=self.data.label) data.coords = self.data.coords for cid in self.data.main_components: if self.data.get_kind(cid) == 'numerical': data.add_component(self.data[cid] * 2, cid.label) else: data.add_component(self.data[cid], cid.label) self.data.update_values_from_data(data) assert self.draw_count == 2 @requires_matplotlib_ge_22 def test_aspect_resize(self): # Make sure that the limits are adjusted appropriately when resizing # depending on the aspect ratio mode. Note that we don't add any data # here since it isn't needed for this test. # This test works with Matplotlib 2.0 and 2.2 but not 2.1, hence we # skip it with Matplotlib 2.1 above. app = get_qapp() # Set initial limits to deterministic values self.viewer.state.aspect = 'auto' self.viewer.state.x_min = 0. self.viewer.state.x_max = 1. self.viewer.state.y_min = 0. self.viewer.state.y_max = 1. self.viewer.state.aspect = 'equal' # Resize events only work if widget is visible self.viewer.show() app.processEvents() def limits(viewer): return (viewer.state.x_min, viewer.state.x_max, viewer.state.y_min, viewer.state.y_max) # Set viewer to an initial size and save limits self.viewer.viewer_size = (800, 400) app.processEvents() initial_limits = limits(self.viewer) # Change the viewer size, and make sure the limits are adjusted self.viewer.viewer_size = (400, 400) app.processEvents() with pytest.raises(AssertionError): assert_allclose(limits(self.viewer), initial_limits) # Now change the viewer size a number of times and make sure if we # return to the original size, the limits match the initial ones. self.viewer.viewer_size = (350, 800) app.processEvents() self.viewer.viewer_size = (900, 300) app.processEvents() self.viewer.viewer_size = (600, 600) app.processEvents() self.viewer.viewer_size = (800, 400) app.processEvents() assert_allclose(limits(self.viewer), initial_limits) # Now check that the limits don't change in 'auto' mode self.viewer.state.aspect = 'auto' self.viewer.viewer_size = (900, 300) assert_allclose(limits(self.viewer), initial_limits) def test_update_data_values(self): # Regression test for a bug that caused some viewers to not behave # correctly if the data values were updated. self.viewer.add_data(self.data) data = self.init_data() self.data_collection.append(data) self.data.update_values_from_data(data)
def test_scatter_viewer(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) scatter.viewer_size = (400, 500) options = scatter.options_widget() options.x_att = data.id['a'] options.y_att = data.id['f'] options.z_att = data.id['z'] options.x_stretch = 0.5 options.y_stretch = 1.0 options.z_stretch = 2.0 options.x_min = -0.1 options.x_max = 1.1 options.y_min = 0.1 options.y_max = 0.9 options.z_min = 0.2 options.z_max = 0.8 options.visible_box = False # Get layer artist style editor layer_artist = scatter.layers[0] style_widget = scatter._view.layout_style_widgets[layer_artist] style_widget.size_mode = 'Linear' style_widget.size_attribute = data.id['c'] style_widget.size_scaling = 2 style_widget.size_vmin = 0.2 style_widget.size_vmax = 0.8 style_widget.color_mode = 'Linear' style_widget.cmap_attribute = data.id['y'] style_widget.cmap_vmin = 0.1 style_widget.cmap_vmax = 0.9 style_widget.cmap = cm.BuGn # Check that writing a session works as expected. However, this only # works with Glue 0.8 and above, so we skip this test if we are using an # older version. if GLUE_LT_08: return session_file = tmpdir.join('test_scatter_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() scatter_r = ga2.viewers[0][0] assert scatter_r.viewer_size == (400, 500) options = scatter_r.options_widget() assert options.x_att.label == 'a' assert options.y_att.label == 'f' assert options.z_att.label == 'z' assert options.x_stretch == 0.5 assert options.y_stretch == 1.0 assert options.z_stretch == 2.0 assert options.x_min == -0.1 assert options.x_max == 1.1 assert options.y_min == 0.1 assert options.y_max == 0.9 assert options.z_min == 0.2 assert options.z_max == 0.8 assert not options.visible_box layer_artist = scatter_r.layers[0] assert layer_artist.size_mode == 'linear' assert layer_artist.size_attribute.label == 'c' np.testing.assert_allclose(layer_artist.size_scaling, 2, rtol=0.01) assert layer_artist.size_vmin == 0.2 assert layer_artist.size_vmax == 0.8 assert layer_artist.color_mode == 'linear' assert layer_artist.cmap_attribute.label == 'y' assert layer_artist.cmap_vmin == 0.1 assert layer_artist.cmap_vmax == 0.9 assert layer_artist.cmap is cm.BuGn
class TestExportPython(BaseTestExportPython): def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(**dict( (name, random_with_nan(100, nan_index=idx + 1)) for idx, name in enumerate('abcdefgh'))) self.data['angle'] = np.random.uniform(0, 360, 100) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(ScatterViewer) self.viewer.add_data(self.data) self.viewer.state.x_att = self.data.id['a'] self.viewer.state.y_att = self.data.id['b'] def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_simple_nofill(self, tmpdir): self.viewer.state.layers[0].fill = False self.viewer.state.layers[0].size_scaling = 10 self.assert_same(tmpdir) def test_simple_visual(self, tmpdir): self.viewer.state.layers[0].color = 'blue' self.viewer.state.layers[0].markersize = 30 self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_cmap_mode(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_att = self.data.id['c'] self.viewer.state.layers[0].cmap = plt.cm.BuGn self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].alpha = 0.8 self.assert_same(tmpdir) def test_cmap_mode_nofill(self, tmpdir): self.viewer.state.layers[0].fill = False self.test_cmap_mode(tmpdir) def test_size_mode(self, tmpdir): self.viewer.state.layers[0].size_mode = 'Linear' self.viewer.state.layers[0].size_att = self.data.id['d'] self.viewer.state.layers[0].size_vmin = 0.1 self.viewer.state.layers[0].size_vmax = 0.8 self.viewer.state.layers[0].size_scaling = 0.4 self.viewer.state.layers[0].alpha = 0.7 self.assert_same(tmpdir) def test_size_mode_nofill(self, tmpdir): self.viewer.state.layers[0].fill = False self.test_size_mode(tmpdir) def test_line(self, tmpdir): self.viewer.state.layers[0].line_visible = True self.viewer.state.layers[0].linewidth = 10 self.viewer.state.layers[0].linestype = 'dashed' self.viewer.state.layers[0].color = 'orange' self.viewer.state.layers[0].alpha = 0.7 self.viewer.state.layers[0].markersize = 100 self.assert_same(tmpdir, tol=5) def test_line_cmap(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.test_line(tmpdir) def test_errorbarx(self, tmpdir): self.viewer.state.layers[0].xerr_visible = True self.viewer.state.layers[0].xerr_att = self.data.id['e'] self.viewer.state.layers[0].color = 'purple' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_errorbary(self, tmpdir): self.viewer.state.layers[0].yerr_visible = True self.viewer.state.layers[0].yerr_att = self.data.id['f'] self.viewer.state.layers[0].color = 'purple' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_errorbarxy(self, tmpdir): self.viewer.state.layers[0].xerr_visible = True self.viewer.state.layers[0].xerr_att = self.data.id['e'] self.viewer.state.layers[0].yerr_visible = True self.viewer.state.layers[0].yerr_att = self.data.id['f'] self.viewer.state.layers[0].color = 'purple' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_errorbarxy_cmap(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.test_errorbarxy(tmpdir) def _vector_common(self, tmpdir): self.viewer.state.layers[0].vector_visible = True self.viewer.state.layers[0].vy_att = self.data.id['g'] self.viewer.state.layers[0].vector_arrowhead = True self.viewer.state.layers[0].vector_origin = 'tail' self.viewer.state.layers[0].vector_scaling = 1.5 self.viewer.state.layers[0].color = 'teal' self.viewer.state.layers[0].alpha = 0.9 self.assert_same(tmpdir, tol=1) def test_vector_cartesian(self, tmpdir): self.viewer.state.layers[0].vector_mode = 'Cartesian' self.viewer.state.layers[0].vx_att = self.data.id['h'] self._vector_common(tmpdir) def test_vector_polar(self, tmpdir): self.viewer.state.layers[0].vector_mode = 'Polar' self.viewer.state.layers[0].vx_att = self.data.id['angle'] self._vector_common(tmpdir) def test_vector_cartesian_cmap(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.test_vector_cartesian(tmpdir) def test_vector_cartesian_xflip(self, tmpdir): # Regression test for a bug that caused vectors to not be flipped self.viewer.state.layers[0].vector_mode = 'Cartesian' self.viewer.state.layers[0].vx_att = self.data.id['h'] self.viewer.state.flip_x() self._vector_common(tmpdir) def test_subset(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_density_map_with_subset(self, tmpdir): self.viewer.state.dpi = 2 self.viewer.state.layers[0].density_map = True self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_density_map_cmap_with_subset(self, tmpdir): self.viewer.state.dpi = 2 self.viewer.state.layers[0].density_map = True self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_cmap_mode_change(self, tmpdir): # Regression test for a bug that caused scatter markers to not change # color when going from Linear to Fixed mode self.viewer.state.layers[0].size_mode = 'Linear' self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_mode = 'Fixed' self.assert_same(tmpdir) def test_density_map_change(self, tmpdir): # Regression test for a bug that caused the density map to still # be visible if using color-coding with the density map then # switching to markers. self.viewer.state.layers[0].density_map = True self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap = plt.cm.BuGn self.viewer.state.layers[0].density_map = False self.assert_same(tmpdir)
def test_scatter_viewer(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) scatter.viewer_size = (400, 500) viewer_state = scatter.state viewer_state.x_att = data.id['a'] viewer_state.y_att = data.id['f'] viewer_state.z_att = data.id['z'] viewer_state.x_stretch = 0.5 viewer_state.y_stretch = 1.0 viewer_state.z_stretch = 2.0 viewer_state.x_min = -0.1 viewer_state.x_max = 1.1 viewer_state.y_min = 0.1 viewer_state.y_max = 0.9 viewer_state.z_min = 0.2 viewer_state.z_max = 0.8 viewer_state.visible_axes = False # Get layer artist style editor layer_state = viewer_state.layers[0] layer_state.size_attribute = data.id['c'] layer_state.size_mode = 'Linear' layer_state.size_scaling = 2 layer_state.size_vmin = 0.2 layer_state.size_vmax = 0.8 layer_state.cmap_attribute = data.id['y'] layer_state.color_mode = 'Linear' layer_state.cmap_vmin = 0.1 layer_state.cmap_vmax = 0.9 layer_state.cmap = cm.BuGn # Check that writing a session works as expected. session_file = tmpdir.join('test_scatter_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() scatter_r = ga2.viewers[0][0] assert scatter_r.viewer_size == (400, 500) viewer_state = scatter_r.state assert viewer_state.x_att.label == 'a' assert viewer_state.y_att.label == 'f' assert viewer_state.z_att.label == 'z' np.testing.assert_allclose(viewer_state.x_stretch, 0.5, rtol=1e-3) np.testing.assert_allclose(viewer_state.y_stretch, 1.0, rtol=1e-3) np.testing.assert_allclose(viewer_state.z_stretch, 2.0, rtol=1e-3) assert viewer_state.x_min == -0.1 assert viewer_state.x_max == 1.1 assert viewer_state.y_min == 0.1 assert viewer_state.y_max == 0.9 assert viewer_state.z_min == 0.2 assert viewer_state.z_max == 0.8 assert not viewer_state.visible_axes layer_state = viewer_state.layers[0] assert layer_state.size_mode == 'Linear' assert layer_state.size_attribute.label == 'c' np.testing.assert_allclose(layer_state.size_scaling, 2, rtol=0.01) assert layer_state.size_vmin == 0.2 assert layer_state.size_vmax == 0.8 assert layer_state.color_mode == 'Linear' assert layer_state.cmap_attribute.label == 'y' assert layer_state.cmap_vmin == 0.1 assert layer_state.cmap_vmax == 0.9 assert layer_state.cmap is cm.BuGn
class TestExportPython(BaseTestExportPython): def setup_method(self, method): self.data = Data(label='d1') self.data.coords = SimpleCoordinates() with NumpyRNGContext(12345): self.data['x'] = random_with_nan(48, 5).reshape((6, 4, 2)) self.data['y'] = random_with_nan(48, 12).reshape((6, 4, 2)) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(ProfileViewer) self.viewer.add_data(self.data) def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_color(self, tmpdir): self.viewer.state.layers[0].color = '#ac0567' self.assert_same(tmpdir) def test_linewidth(self, tmpdir): self.viewer.state.layers[0].linewidth = 7.25 self.assert_same(tmpdir) def test_max(self, tmpdir): self.viewer.state.function = 'maximum' self.assert_same(tmpdir) def test_min(self, tmpdir): self.viewer.state.function = 'minimum' self.assert_same(tmpdir) def test_mean(self, tmpdir): self.viewer.state.function = 'mean' self.assert_same(tmpdir) def test_median(self, tmpdir): self.viewer.state.function = 'median' self.assert_same(tmpdir) def test_sum(self, tmpdir): self.viewer.state.function = 'sum' self.assert_same(tmpdir) def test_normalization(self, tmpdir): self.viewer.state.normalize = True self.assert_same(tmpdir) def test_subset(self, tmpdir): self.viewer.state.function = 'mean' self.data_collection.new_subset_group('mysubset', self.data.id['x'] > 0.25) self.assert_same(tmpdir) def test_xatt(self, tmpdir): self.viewer.x_att = self.data.pixel_component_ids[1] self.assert_same(tmpdir) def test_profile_att(self, tmpdir): self.viewer.layers[0].state.attribute = self.data.id['y'] self.assert_same(tmpdir)
class TestExportPython(BaseTestExportPython): def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(**dict((name, random_with_nan(100, nan_index=idx + 1)) for idx, name in enumerate('abcdefgh'))) self.data['angle'] = np.random.uniform(0, 360, 100) self.data_collection = DataCollection([self.data]) self.app = GlueApplication(self.data_collection) self.viewer = self.app.new_data_viewer(ScatterViewer) self.viewer.add_data(self.data) self.viewer.state.x_att = self.data.id['a'] self.viewer.state.y_att = self.data.id['b'] def teardown_method(self, method): self.viewer.close() self.viewer = None self.app.close() self.app = None def test_simple(self, tmpdir): self.assert_same(tmpdir) def test_simple_nofill(self, tmpdir): self.viewer.state.layers[0].fill = False self.viewer.state.layers[0].size_scaling = 10 self.assert_same(tmpdir) def test_simple_visual(self, tmpdir): self.viewer.state.layers[0].color = 'blue' self.viewer.state.layers[0].markersize = 30 self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_cmap_mode(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_att = self.data.id['c'] self.viewer.state.layers[0].cmap = plt.cm.BuGn self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].alpha = 0.8 self.assert_same(tmpdir) def test_cmap_mode_nofill(self, tmpdir): self.viewer.state.layers[0].fill = False self.test_cmap_mode(tmpdir) def test_size_mode(self, tmpdir): self.viewer.state.layers[0].size_mode = 'Linear' self.viewer.state.layers[0].size_att = self.data.id['d'] self.viewer.state.layers[0].size_vmin = 0.1 self.viewer.state.layers[0].size_vmax = 0.8 self.viewer.state.layers[0].size_scaling = 0.4 self.viewer.state.layers[0].alpha = 0.7 self.assert_same(tmpdir) def test_size_mode_nofill(self, tmpdir): self.viewer.state.layers[0].fill = False self.test_size_mode(tmpdir) def test_line(self, tmpdir): self.viewer.state.layers[0].line_visible = True self.viewer.state.layers[0].linewidth = 10 self.viewer.state.layers[0].linestype = 'dashed' self.viewer.state.layers[0].color = 'orange' self.viewer.state.layers[0].alpha = 0.7 self.viewer.state.layers[0].markersize = 100 self.assert_same(tmpdir, tol=5) def test_line_cmap(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.test_line(tmpdir) def test_errorbarx(self, tmpdir): self.viewer.state.layers[0].xerr_visible = True self.viewer.state.layers[0].xerr_att = self.data.id['e'] self.viewer.state.layers[0].color = 'purple' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_errorbary(self, tmpdir): self.viewer.state.layers[0].yerr_visible = True self.viewer.state.layers[0].yerr_att = self.data.id['f'] self.viewer.state.layers[0].color = 'purple' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_errorbarxy(self, tmpdir): self.viewer.state.layers[0].xerr_visible = True self.viewer.state.layers[0].xerr_att = self.data.id['e'] self.viewer.state.layers[0].yerr_visible = True self.viewer.state.layers[0].yerr_att = self.data.id['f'] self.viewer.state.layers[0].color = 'purple' self.viewer.state.layers[0].alpha = 0.5 self.assert_same(tmpdir) def test_errorbarxy_cmap(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.test_errorbarxy(tmpdir) def _vector_common(self, tmpdir): self.viewer.state.layers[0].vector_visible = True self.viewer.state.layers[0].vy_att = self.data.id['g'] self.viewer.state.layers[0].vector_arrowhead = True self.viewer.state.layers[0].vector_origin = 'tail' self.viewer.state.layers[0].vector_scaling = 1.5 self.viewer.state.layers[0].color = 'teal' self.viewer.state.layers[0].alpha = 0.9 self.assert_same(tmpdir) def test_vector_cartesian(self, tmpdir): self.viewer.state.layers[0].vector_mode = 'Cartesian' self.viewer.state.layers[0].vx_att = self.data.id['h'] self._vector_common(tmpdir) def test_vector_polar(self, tmpdir): self.viewer.state.layers[0].vector_mode = 'Polar' self.viewer.state.layers[0].vx_att = self.data.id['angle'] self._vector_common(tmpdir) def test_vector_cartesian_cmap(self, tmpdir): self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.test_vector_cartesian(tmpdir) def test_vector_cartesian_xflip(self, tmpdir): # Regression test for a bug that caused vectors to not be flipped self.viewer.state.layers[0].vector_mode = 'Cartesian' self.viewer.state.layers[0].vx_att = self.data.id['h'] self.viewer.state.flip_x() self._vector_common(tmpdir) def test_subset(self, tmpdir): self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_density_map_with_subset(self, tmpdir): self.viewer.state.dpi = 2 self.viewer.state.layers[0].density_map = True self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_density_map_cmap_with_subset(self, tmpdir): self.viewer.state.dpi = 2 self.viewer.state.layers[0].density_map = True self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_vmin = 0.2 self.viewer.state.layers[0].cmap_vmax = 0.7 self.viewer.state.layers[0].cmap = plt.cm.BuGn self.data_collection.new_subset_group('mysubset', self.data.id['a'] > 0.5) self.assert_same(tmpdir) def test_cmap_mode_change(self, tmpdir): # Regression test for a bug that caused scatter markers to not change # color when going from Linear to Fixed mode self.viewer.state.layers[0].size_mode = 'Linear' self.viewer.state.layers[0].cmap_mode = 'Linear' self.viewer.state.layers[0].cmap_mode = 'Fixed' self.assert_same(tmpdir)
def test_volume_viewer(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() volume = ga.new_data_viewer(VispyVolumeViewer) volume.add_data(data) volume.viewer_size = (400, 500) options = volume.options_widget() options.x_stretch = 0.5 options.y_stretch = 1.0 options.z_stretch = 2.0 options.x_min = -0.1 options.x_max = 10.1 options.y_min = 0.1 options.y_max = 10.9 options.z_min = 0.2 options.z_max = 10.8 options.visible_box = False # Get layer artist style editor layer_artist = volume.layers[0] style_widget = volume._view.layout_style_widgets[layer_artist] style_widget.attribute = data.id['b'] style_widget.vmin = 0.1 style_widget.vmax = 0.9 style_widget.alpha = 0.8 # Check that writing a session works as expected. session_file = tmpdir.join('test_volume_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() volume_r = ga2.viewers[0][0] assert volume_r.viewer_size == (400, 500) options = volume_r.options_widget() assert options.x_stretch == 0.5 assert options.y_stretch == 1.0 assert options.z_stretch == 2.0 assert options.x_min == -0.1 assert options.x_max == 10.1 assert options.y_min == 0.1 assert options.y_max == 10.9 assert options.z_min == 0.2 assert options.z_max == 10.8 assert not options.visible_box layer_artist = volume_r.layers[0] assert style_widget.attribute.label == 'b' assert style_widget.vmin == 0.1 assert style_widget.vmax == 0.9 assert style_widget.alpha == 0.8 ga2.close()
class BaseTestMatplotlibDataViewer(object): """ Base class to test viewers based on MatplotlibDataViewer. This only runs a subset of tests that relate to functionality implemented in MatplotlibDataViewer and specific viewers are responsible for implementing a more complete test suite. Viewers based on this should inherit from this test class and define the following attributes: * ``data``: an instance of a data object that works by default in the viewer * ``viewer_cls``: the viewer class It is then safe to assume that ``data_collection``, ``viewer``, and ``hub`` are defined when writing tests. """ def setup_method(self, method): if OBJGRAPH_INSTALLED: self.viewer_count_start = self.viewer_count self.data = self.init_data() self.application = GlueApplication() self.session = self.application.session self.hub = self.session.hub self.data_collection = self.session.data_collection self.data_collection.append(self.data) self.viewer = self.viewer_cls(self.session) self.data_collection.register_to_hub(self.hub) self.viewer.register_to_hub(self.hub) def init_subset(self): cid = self.data.visible_components[0] self.data_collection.new_subset_group('subset 1', cid > 0) @property def viewer_count(self): app = get_qapp() app.processEvents() obj = objgraph.by_type(self.viewer_cls.__name__) return len(obj) def teardown_method(self, method): if self.viewer is not None: self.viewer.close() self.application.close() # The following is a check to make sure that once the viewer and # application have been closed, there are no leftover references to # the data viewer. This was introduced because there were previously # circular references that meant that viewer instances were not # properly garbage collected, which in turn meant they still reacted # in some cases to events. if OBJGRAPH_INSTALLED: self.viewer = None self.application = None if self.viewer_count > self.viewer_count_start: raise ValueError("No net viewers should be created in tests") def test_add_data(self): # Add a dataset with no subsets and make sure the appropriate layer # state and layer artists are created self.viewer.add_data(self.data) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_add_data_with_subset(self): # Make sure that if subsets are present in the data, they are added # automatically self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert self.viewer.layers[0].layer is self.data assert self.viewer.layers[1].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 2 assert self.viewer.state.layers[0].layer is self.data assert self.viewer.state.layers[1].layer is self.data.subsets[0] def test_adding_subset_adds_data(self): # TODO: in future consider whether we want to deprecate this behavior self.init_subset() self.viewer.add_subset(self.data.subsets[0]) assert len(self.viewer.layers) == 2 assert self.viewer.layers[0].layer is self.data assert self.viewer.layers[1].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 2 assert self.viewer.state.layers[0].layer is self.data assert self.viewer.state.layers[1].layer is self.data.subsets[0] def test_add_data_then_subset(self): # Make sure that if a subset is created in a dataset that has already # been added to a viewer, the subset gets added self.viewer.add_data(self.data) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data self.init_subset() assert len(self.viewer.layers) == 2 assert self.viewer.layers[0].layer is self.data assert self.viewer.layers[1].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 2 assert self.viewer.state.layers[0].layer is self.data assert self.viewer.state.layers[1].layer is self.data.subsets[0] def init_draw_count(self): self.mpl_counter = MatplotlibDrawCounter(self.viewer.axes.figure) @property def draw_count(self): return self.mpl_counter.draw_count def test_single_draw(self): # Make sure that the number of draws is kept to a minimum self.init_draw_count() self.init_subset() assert self.draw_count == 0 self.viewer.add_data(self.data) assert self.draw_count == 1 def test_update_subset(self): self.init_draw_count() # Check that updating a subset causes the plot to be updated self.init_subset() assert self.draw_count == 0 self.viewer.add_data(self.data) count_before = self.draw_count # Change the subset cid = self.data.visible_components[0] self.data.subsets[0].subset_state = cid > 1 # Make sure the figure has been redrawn assert self.draw_count - count_before > 0 def test_double_add_ignored(self): self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 1 self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 1 def test_removing_data_removes_layer_state(self): # Removing data from data collection should remove data from viewer self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 1 self.data_collection.remove(self.data) assert len(self.viewer.state.layers) == 0 def test_removing_data_removes_subsets(self): # Removing data from data collection should remove subsets from viewer self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.state.layers) == 2 self.data_collection.remove(self.data) assert len(self.viewer.state.layers) == 0 def test_removing_subset_removes_layers(self): # Removing a layer artist removes the corresponding layer state. We need # to do this with a subset otherwise the viewer is closed self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 self.data_collection.remove_subset_group(self.data_collection.subset_groups[0]) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_removing_layer_artist_removes_layer_state(self): # Removing a layer artist removes the corresponding layer state. We need # to do this with a subset otherwise the viewer is closed self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 # self.layers is a copy so we need to remove from the original list self.viewer._layer_artist_container.remove(self.viewer.layers[1]) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_removing_layer_state_removes_layer_artist(self): # Removing a layer artist removes the corresponding layer state. We need # to do this with a subset otherwise the viewer is closed self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 # self.layers is a copy so we need to remove from the original list self.viewer.state.layers.pop(1) assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data def test_new_subset_after_remove_data(self): # Once we remove a dataset, if we make a new subset, it will not be # added to the viewer self.init_subset() self.viewer.add_data(self.data) assert len(self.viewer.layers) == 2 assert len(self.viewer.state.layers) == 2 self.viewer.state.layers.pop(0) self.init_subset() # makes a new subset assert len(self.data.subsets) == 2 assert len(self.viewer.layers) == 1 assert self.viewer.layers[0].layer is self.data.subsets[0] assert len(self.viewer.state.layers) == 1 assert self.viewer.state.layers[0].layer is self.data.subsets[0] def test_remove_not_present_ignored(self): data = Data(label='not in viewer') self.viewer.remove_data(data) def test_limits_sync(self): viewer_state = self.viewer.state axes = self.viewer.axes if axes.get_adjustable() == 'datalim': pytest.xfail() # Make sure that the viewer state and matplotlib viewer limits and log # settings are in sync. We start by modifying the state and making sure # that the axes follow. viewer_state.x_min = 3 viewer_state.x_max = 9 viewer_state.y_min = -2 viewer_state.y_max = 3 assert axes.get_xlim() == (3, 9) assert axes.get_ylim() == (-2, 3) assert axes.get_xscale() == 'linear' assert axes.get_yscale() == 'linear' viewer_state.x_log = True assert axes.get_xlim() == (3, 9) assert axes.get_ylim() == (-2, 3) assert axes.get_xscale() == 'log' assert axes.get_yscale() == 'linear' viewer_state.y_log = True # FIXME: the limits for y don't seem right, should be adjusted because of log? assert axes.get_xlim() == (3, 9) assert axes.get_ylim() == (-2, 3) assert axes.get_xscale() == 'log' assert axes.get_yscale() == 'log' # Check that changing the axes changes the state # NOTE: at the moment this doesn't work because Matplotlib doesn't # emit events for changing xscale/yscale. This isn't crucial anyway for # glue, but leaving the tests below in case this is fixed some day. The # Matplotlib issue is https://github.com/matplotlib/matplotlib/issues/8439 axes.set_xscale('linear') # # assert viewer_state.x_min == 3 # assert viewer_state.x_max == 9 # assert viewer_state.y_min == -2 # assert viewer_state.y_max == 3 # assert not viewer_state.x_log # assert viewer_state.y_log # axes.set_yscale('linear') # # assert viewer_state.x_min == 3 # assert viewer_state.x_max == 9 # assert viewer_state.y_min == -2 # assert viewer_state.y_max == 3 # assert not viewer_state.x_log # assert not viewer_state.y_log axes.set_xlim(-1, 4) assert viewer_state.x_min == -1 assert viewer_state.x_max == 4 assert viewer_state.y_min == -2 assert viewer_state.y_max == 3 # assert not viewer_state.x_log # assert not viewer_state.y_log axes.set_ylim(5, 6) assert viewer_state.x_min == -1 assert viewer_state.x_max == 4 assert viewer_state.y_min == 5 assert viewer_state.y_max == 6 # assert not viewer_state.x_log # assert not viewer_state.y_log # TODO: the following test should deal gracefully with the fact that # some viewers will want to show a Qt error for IncompatibleDataException def test_add_invalid_data(self): data2 = Data() with pytest.raises(IncompatibleDataException): self.viewer.add_data(data2) # Communication tests def test_ignore_data_add_message(self): self.data_collection.append(self.data) assert len(self.viewer.layers) == 0 def test_update_data_ignored_if_data_not_present(self): self.init_draw_count() self.data_collection.append(self.data) ct0 = self.draw_count self.data.style.color = 'blue' assert self.draw_count == ct0 def test_update_data_processed_if_data_present(self): self.init_draw_count() self.data_collection.append(self.data) self.viewer.add_data(self.data) ct0 = self.draw_count self.data.style.color = 'blue' assert self.draw_count > ct0 def test_add_subset_ignored_if_data_not_present(self): self.data_collection.append(self.data) sub = self.data.new_subset() assert sub not in self.viewer._layer_artist_container def test_add_subset_processed_if_data_present(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() assert sub in self.viewer._layer_artist_container def test_update_subset_ignored_if_not_present(self): # This can be quite a difficult test to pass because it makes sure that # there are absolutely no references to the layer state left over once # a subset is removed - when originally written this identified quite # a few places where references were being accidentally kept, and # resulted in weakref being needed in a number of places. But ultimately # this test should pass! No cheating :) self.init_draw_count() self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() self.viewer.remove_subset(sub) ct0 = self.draw_count sub.style.color = 'blue' assert self.draw_count == ct0 def test_update_subset_processed_if_present(self): self.init_draw_count() self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() ct0 = self.draw_count sub.style.color = 'blue' assert self.draw_count > ct0 def test_data_remove_message(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) self.data_collection.remove(self.data) assert self.data not in self.viewer._layer_artist_container def test_subset_remove_message(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) sub = self.data.new_subset() assert sub in self.viewer._layer_artist_container sub.delete() assert sub not in self.viewer._layer_artist_container def test_session_round_trip(self, tmpdir): self.init_subset() ga = GlueApplication(self.data_collection) ga.show() viewer = ga.new_data_viewer(self.viewer_cls) viewer.add_data(self.data) session_file = tmpdir.join('test_session_round_trip.glu').strpath ga.save_session(session_file) ga.close() ga2 = GlueApplication.restore_session(session_file) ga2.show() viewer2 = ga2.viewers[0][0] data2 = ga2.data_collection[0] assert viewer2.layers[0].layer is data2 assert viewer2.layers[1].layer is data2.subsets[0] ga2.close() def test_apply_roi_undo(self): self.data_collection.append(self.data) self.viewer.add_data(self.data) roi = XRangeROI(1, 2) self.viewer.apply_roi(roi) assert len(self.data.subsets) == 1 lo1 = self.data.subsets[0].subset_state.lo hi1 = self.data.subsets[0].subset_state.hi roi = XRangeROI(0, 3) self.viewer.apply_roi(roi) assert len(self.data.subsets) == 1 lo2 = self.data.subsets[0].subset_state.lo hi2 = self.data.subsets[0].subset_state.hi assert lo2 != lo1 assert hi2 != hi1 self.application.undo() assert len(self.data.subsets) == 1 assert self.data.subsets[0].subset_state.lo == lo1 assert self.data.subsets[0].subset_state.hi == hi1 self.application.redo() assert len(self.data.subsets) == 1 assert self.data.subsets[0].subset_state.lo == lo2 assert self.data.subsets[0].subset_state.hi == hi2 def test_numerical_data_changed(self): self.init_draw_count() self.init_subset() assert self.draw_count == 0 self.viewer.add_data(self.data) assert self.draw_count == 1 data = Data() for cid in self.data.visible_components: data.add_component(self.data[cid] * 2, cid.label) self.data.update_values_from_data(data) assert self.draw_count == 2
def test_vectors(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) scatter.viewer_size = (400, 500) viewer_state = scatter.state viewer_state.x_att = data.id['a'] viewer_state.y_att = data.id['f'] viewer_state.z_att = data.id['z'] layer_state = viewer_state.layers[0] layer_state.vector_visible = True layer_state.vx_attribute = data.id['x'] layer_state.vy_attribute = data.id['y'] layer_state.vz_attribute = data.id['e'] layer_state.vector_scaling = 0.1 layer_state.vector_origin = 'tail' layer_state.vector_arrowhead = True viewer_state.line_width = 3 # Check that writing a session works as expected. session_file = tmpdir.join('test_vectors.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() scatter_r = ga2.viewers[0][0] layer_state = scatter_r.state.layers[0] assert layer_state.vector_visible assert layer_state.vx_attribute.label == 'x' assert layer_state.vy_attribute.label == 'y' assert layer_state.vz_attribute.label == 'e' assert np.isclose(layer_state.vector_scaling, 0.1) assert layer_state.vector_origin == 'tail' assert layer_state.vector_arrowhead assert scatter_r.state.line_width == 3 ga2.close()
def test_isosurface_viewer(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() volume = ga.new_data_viewer(VispyIsosurfaceViewer) volume.add_data(data) volume.viewer_size = (400, 500) viewer_state = volume.state viewer_state.x_stretch = 0.5 viewer_state.y_stretch = 1.0 viewer_state.z_stretch = 2.0 viewer_state.x_min = -0.1 viewer_state.x_max = 10.1 viewer_state.y_min = 0.1 viewer_state.y_max = 10.9 viewer_state.z_min = 0.2 viewer_state.z_max = 10.8 viewer_state.visible_axes = False # Get layer artist style editor layer_state = viewer_state.layers[0] layer_state.attribute = data.id['b'] layer_state.level_low = 0.1 layer_state.level_high = 0.9 # layer_state.alpha = 0.8 # test set label from slider layer_state.step = 5 assert layer_state.step == 5.0 # Check that writing a session works as expected. session_file = tmpdir.join('test_volume_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() volume_r = ga2.viewers[0][0] assert volume_r.viewer_size == (400, 500) viewer_state = volume_r.state np.testing.assert_allclose(viewer_state.x_stretch, 0.5, rtol=1e-3) np.testing.assert_allclose(viewer_state.y_stretch, 1.0, rtol=1e-3) np.testing.assert_allclose(viewer_state.z_stretch, 2.0, rtol=1e-3) assert viewer_state.x_min == -0.1 assert viewer_state.x_max == 10.1 assert viewer_state.y_min == 0.1 assert viewer_state.y_max == 10.9 assert viewer_state.z_min == 0.2 assert viewer_state.z_max == 10.8 assert not viewer_state.visible_axes layer_artist = viewer_state.layers[0] assert layer_artist.attribute.label == 'b' assert layer_artist.level_low == 0.1 assert layer_artist.level_high == 0.9 # assert layer_artist.alpha == 0.8 assert layer_artist.step == 5 ga2.close()
def test_volume_viewer(tmpdir): # Create fake data data = make_test_data() # Create fake session dc = DataCollection([data]) ga = GlueApplication(dc) ga.show() volume = ga.new_data_viewer(VispyIsosurfaceViewer) volume.add_data(data) volume.viewer_size = (400, 500) viewer_state = volume.state viewer_state.x_stretch = 0.5 viewer_state.y_stretch = 1.0 viewer_state.z_stretch = 2.0 viewer_state.x_min = -0.1 viewer_state.x_max = 10.1 viewer_state.y_min = 0.1 viewer_state.y_max = 10.9 viewer_state.z_min = 0.2 viewer_state.z_max = 10.8 viewer_state.visible_axes = False # Get layer artist style editor layer_state = viewer_state.layers[0] layer_state.attribute = data.id['b'] layer_state.level_low = 0.1 layer_state.level_high = 0.9 # layer_state.alpha = 0.8 # test set label from slider layer_state.step = 5 assert layer_state.step == 5.0 # Check that writing a session works as expected. session_file = tmpdir.join('test_volume_viewer.glu').strpath ga.save_session(session_file) ga.close() # Now we can check that everything is restored correctly ga2 = GlueApplication.restore_session(session_file) ga2.show() volume_r = ga2.viewers[0][0] assert volume_r.viewer_size == (400, 500) viewer_state = volume_r.state np.testing.assert_allclose(viewer_state.x_stretch, 0.5, rtol=1e-3) np.testing.assert_allclose(viewer_state.y_stretch, 1.0, rtol=1e-3) np.testing.assert_allclose(viewer_state.z_stretch, 2.0, rtol=1e-3) assert viewer_state.x_min == -0.1 assert viewer_state.x_max == 10.1 assert viewer_state.y_min == 0.1 assert viewer_state.y_max == 10.9 assert viewer_state.z_min == 0.2 assert viewer_state.z_max == 10.8 assert not viewer_state.visible_axes layer_artist = viewer_state.layers[0] assert layer_artist.attribute.label == 'b' assert layer_artist.level_low == 0.1 assert layer_artist.level_high == 0.9 # assert layer_artist.alpha == 0.8 assert layer_artist.step == 5 ga2.close()