def glue_gui(): d = data_factories.load_data(DEIMOSTABLE) dc = DataCollection([]) dc.append(d) # Creates glue instance app = GlueApplication(dc) app.setVisible(True) # Adds data to the MosVizViewer app.new_data_viewer(MOSVizViewer) app.viewers[0][0].add_data_for_testing(app.data_collection[0]) return app
def glue_gui(): d = data_factories.load_data(DEIMOSTABLE) dc = DataCollection([]) dc.append(d) # Creates glue instance app = GlueApplication(dc) app.setVisible(True) # Adds data to the MosVizViewer app.new_data_viewer(MOSVizViewer) app.viewers[0][0].add_data_for_testing(app.data_collection[0]) return app
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_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 glue_focus(xyz, labels): """ Launch a glue session with focusing results. Parameters ---------- xyz : `~numpy.ndarray` Matrix of (x, y, z) positions of particles labels : `~numpy.ndarray` Labels for particles assigned by clustering algorithm Returns ------- ga : `~glue.app.qt.application.GlueApplication` Glue qt GUI application session """ from glue.core import DataCollection, Data from glue.app.qt.application import GlueApplication from glue_vispy_viewers.scatter.scatter_viewer import VispyScatterViewer data = Data(x=xyz[:, 0], y=xyz[:, 1], z=xyz[:, 2], clusters=labels, label='data') dc = DataCollection([data]) # create a GUI session ga = GlueApplication(dc) scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) return ga
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_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
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_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_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
def glue_focus(xyz, labels): """ Launch a glue session with focusing results. Parameters ---------- xyz : `~numpy.ndarray` Matrix of (x, y, z) positions of particles labels : `~numpy.ndarray` Labels for particles assigned by clustering algorithm Returns ------- ga : `~glue.app.qt.application.GlueApplication` Glue qt GUI application session """ from glue.core import DataCollection, Data from glue.app.qt.application import GlueApplication from glue_vispy_viewers.scatter.scatter_viewer import VispyScatterViewer data = Data(x=xyz[:, 0], y=xyz[:, 1], z=xyz[:, 2], clusters=labels, label='data') dc = DataCollection([data]) # create a GUI session ga = GlueApplication(dc) scatter = ga.new_data_viewer(VispyScatterViewer) scatter.add_data(data) return ga
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)
def setup_method(self, method): with NumpyRNGContext(12345): self.data = Data(cube=np.random.random((30, 50, 20))) self.data_collection = DataCollection([self.data]) ga = GlueApplication(self.data_collection) self.viewer = ga.new_data_viewer(ImageViewer) self.viewer.add_data(self.data)
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)
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)
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]) ga = GlueApplication(self.data_collection) self.viewer = ga.new_data_viewer(HistogramViewer) self.viewer.add_data(self.data) self.viewer.state.x_att = self.data.id['a']
def gs9(data, vmin, vmax, percentile, stretch, cmap): load_plugins() if cmap is not None: for cmap_name, cmap_obj in colormaps.members: if cmap == cmap_name: cmap = cmap_obj break else: colormaps.add(cmap, cm.get_cmap(cmap)) cmap = cm.get_cmap(cmap) ga = GlueApplication() image = ga.new_data_viewer(ImageViewer) datasets = [] for filename in data: datasets.append(load_data(filename)) # Add datasets all in one go to do all linking in one pass ga.add_datasets(datasets) for d in ga.data_collection: image.add_data(d) for layer_state in image.state.layers: if vmin is not None: layer_state.v_min = vmin if vmax is not None: layer_state.v_min = vmax if percentile is not None: choices = ImageLayerState.percentile.get_choices(layer_state) for choice in choices: if percentile == choice: percentile = choice break layer_state.percentile = percentile if stretch is not None: layer_state.stretch = stretch if cmap is not None: layer_state.cmap = cmap image.viewer_size = (600, 600) ga.gather_current_tab() ga.start(maximized=False, size=(1024, 768))
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_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()
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']
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_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_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()
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_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)
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()
# image_viewer = app.new_data_viewer(ImageViewer) # image_viewer.add_data(image) # image_viewer.add_data(catalog) # image_viewer.viewer_size = (500, 500) # image_viewer.state.layers[0].percentile = 99 view_names = ('xy', 'xz', 'zy', 'tz') sizes = ((500, 500), (500, 250), (250, 500), (500, 250)) posns = ((0, 500), (0, 250), (500, 500), (0, 0)) thevars = (('lon', 'lat'), ('lon', 'alt(m)'), ('alt(m)', 'lat'), ('time (UT sec of day)', 'alt(m)')) views = {} for view, size, posn, axvars in zip(view_names, sizes, posns, thevars): new_viewer = app.new_data_viewer(ScatterViewer) new_viewer.add_data(lma) new_viewer.viewer_size = size new_viewer.position = posn new_viewer.state.x_att = lma.id[axvars[0]] new_viewer.state.y_att = lma.id[axvars[1]] views[view] = new_viewer # Create six-panel viewer manually, then this links limits # viewer1 = application.viewers[0][0] # viewer2 = application.viewers[0][1] # Do this for all pairs, limits # keep_in_sync(viewer1.state, 'x_min', viewer2.state, 'x_min') def link_x(view1, view2):
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_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()
# create some data data_path = Path("/home/stuart/sunpy/data/iris_glue/") rasters = list(data_path.glob("*raster*")) sji = list(data_path.glob("*SJI*")) raster_data = _parse_iris_raster(read_iris_spectrograph_level2_fits(rasters), 'iris') sji_data = [] for s in sji: sji_data += load_data(s) dc = DataCollection(raster_data + sji_data) ga = GlueApplication(dc) im1 = ga.new_data_viewer(ImageViewer) im1.add_data(raster_data[0]) im2 = ga.new_data_viewer(ImageViewer) im2.add_data(sji_data[0]) class IRISLinker: def __init__(self, im1, im2): self.im_raster = im1 self.im_sji = im2 self.im_raster.state.add_callback("slices", self._raster_update) self.im_sji.state.add_callback("slices", self._sji_update) def _raster_update(self, *args):
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_basic(): dc = DataCollection([]) ga = GlueApplication(dc) mosviz = ga.new_data_viewer(MOSVizViewer) mosviz.show()