import numpy as np from bokeh.models import EdgesAndLinkedNodes, NodesAndLinkedEdges, NodesOnly, Patches from bokeh.models.mappers import CategoricalColorMapper, LinearColorMapper from holoviews.core.data import Dataset from holoviews.element import Chord, Graph, Nodes, TriMesh, VLine, circular_layout from holoviews.plotting.bokeh.util import property_to_dict from holoviews.util.transform import dim from .test_plot import TestBokehPlot, bokeh_renderer class TestBokehGraphPlot(TestBokehPlot): def setUp(self): super().setUp() N = 8 self.nodes = circular_layout(np.arange(N, dtype=np.int32)) self.source = np.arange(N, dtype=np.int32) self.target = np.zeros(N, dtype=np.int32) self.weights = np.random.rand(N) self.graph = Graph(((self.source, self.target),)) self.node_info = Dataset(['Output']+['Input']*(N-1), vdims=['Label']) self.node_info2 = Dataset(self.weights, vdims='Weight') self.graph2 = Graph(((self.source, self.target), self.node_info)) self.graph3 = Graph(((self.source, self.target), self.node_info2)) self.graph4 = Graph(((self.source, self.target, self.weights),), vdims='Weight') def test_plot_simple_graph(self): plot = bokeh_renderer.get_plot(self.graph) node_source = plot.handles['scatter_1_source'] edge_source = plot.handles['multi_line_1_source'] layout_source = plot.handles['layout_source'] self.assertEqual(node_source.data['index'], self.source) self.assertEqual(edge_source.data['start'], self.source) self.assertEqual(edge_source.data['end'], self.target) layout = {z: (x, y) for x, y, z in self.graph.nodes.array()} self.assertEqual(layout_source.graph_layout, layout) def test_plot_graph_annotation_overlay(self): plot = bokeh_renderer.get_plot(VLine(0) * self.graph) x_range = plot.handles['x_range'] y_range = plot.handles['x_range'] self.assertEqual(x_range.start, -1) self.assertEqual(x_range.end, 1) self.assertEqual(y_range.start, -1) self.assertEqual(y_range.end, 1) def test_plot_graph_with_paths(self): graph = self.graph.clone((self.graph.data, self.graph.nodes, self.graph.edgepaths)) plot = bokeh_renderer.get_plot(graph) node_source = plot.handles['scatter_1_source'] edge_source = plot.handles['multi_line_1_source'] layout_source = plot.handles['layout_source'] self.assertEqual(node_source.data['index'], self.source) self.assertEqual(edge_source.data['start'], self.source) self.assertEqual(edge_source.data['end'], self.target) edges = graph.edgepaths.split() self.assertEqual(edge_source.data['xs'], [path.dimension_values(0) for path in edges]) self.assertEqual(edge_source.data['ys'], [path.dimension_values(1) for path in edges]) layout = {z: (x, y) for x, y, z in self.graph.nodes.array()} self.assertEqual(layout_source.graph_layout, layout) def test_graph_inspection_policy_nodes(self): plot = bokeh_renderer.get_plot(self.graph) renderer = plot.handles['glyph_renderer'] hover = plot.handles['hover'] self.assertIsInstance(renderer.inspection_policy, NodesAndLinkedEdges) self.assertEqual(hover.tooltips, [('index', '@{index_hover}')]) self.assertIn(renderer, hover.renderers) def test_graph_inspection_policy_edges(self): plot = bokeh_renderer.get_plot(self.graph.opts(inspection_policy='edges')) renderer = plot.handles['glyph_renderer'] hover = plot.handles['hover'] self.assertIsInstance(renderer.inspection_policy, EdgesAndLinkedNodes) self.assertEqual(hover.tooltips, [('start', '@{start_values}'), ('end', '@{end_values}')]) self.assertIn(renderer, hover.renderers) def test_graph_inspection_policy_edges_non_default_names(self): graph = self.graph.redim(start='source', end='target') plot = bokeh_renderer.get_plot(graph.opts(inspection_policy='edges')) renderer = plot.handles['glyph_renderer'] hover = plot.handles['hover'] self.assertIsInstance(renderer.inspection_policy, EdgesAndLinkedNodes) self.assertEqual(hover.tooltips, [('source', '@{source}'), ('target', '@{target}')]) self.assertIn(renderer, hover.renderers) def test_graph_inspection_policy_none(self): plot = bokeh_renderer.get_plot(self.graph.opts(inspection_policy=None)) renderer = plot.handles['glyph_renderer'] self.assertIsInstance(renderer.inspection_policy, NodesOnly) def test_graph_selection_policy_nodes(self): plot = bokeh_renderer.get_plot(self.graph) renderer = plot.handles['glyph_renderer'] hover = plot.handles['hover'] self.assertIsInstance(renderer.selection_policy, NodesAndLinkedEdges) self.assertIn(renderer, hover.renderers) def test_graph_selection_policy_edges(self): plot = bokeh_renderer.get_plot(self.graph.opts(selection_policy='edges')) renderer = plot.handles['glyph_renderer'] hover = plot.handles['hover'] self.assertIsInstance(renderer.selection_policy, EdgesAndLinkedNodes) self.assertIn(renderer, hover.renderers) def test_graph_selection_policy_none(self): plot = bokeh_renderer.get_plot(self.graph.opts(selection_policy=None)) renderer = plot.handles['glyph_renderer'] self.assertIsInstance(renderer.selection_policy, NodesOnly) def test_graph_nodes_categorical_colormapped(self): g = self.graph2.opts(color_index='Label', cmap='Set1') plot = bokeh_renderer.get_plot(g) cmapper = plot.handles['color_mapper'] node_source = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertIsInstance(cmapper, CategoricalColorMapper) self.assertEqual(cmapper.factors, ['Output', 'Input']) self.assertEqual(node_source.data['Label'], self.node_info['Label']) self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'Label', 'transform': cmapper}) def test_graph_nodes_numerically_colormapped(self): g = self.graph3.opts(color_index='Weight', cmap='viridis') plot = bokeh_renderer.get_plot(g) cmapper = plot.handles['color_mapper'] node_source = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertIsInstance(cmapper, LinearColorMapper) self.assertEqual(cmapper.low, self.weights.min()) self.assertEqual(cmapper.high, self.weights.max()) self.assertEqual(node_source.data['Weight'], self.node_info2['Weight']) self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'Weight', 'transform': cmapper}) def test_graph_edges_categorical_colormapped(self): g = self.graph3.opts(edge_color_index='start', edge_cmap=['#FFFFFF', '#000000']) plot = bokeh_renderer.get_plot(g) cmapper = plot.handles['edge_colormapper'] edge_source = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertIsInstance(cmapper, CategoricalColorMapper) factors = ['0', '1', '2', '3', '4', '5', '6', '7'] self.assertEqual(cmapper.factors, factors) self.assertEqual(edge_source.data['start_str__'], factors) self.assertEqual(property_to_dict(glyph.line_color), {'field': 'start_str__', 'transform': cmapper}) def test_graph_edges_numerically_colormapped(self): g = self.graph4.opts(edge_color_index='Weight', edge_cmap=['#FFFFFF', '#000000']) plot = bokeh_renderer.get_plot(g) cmapper = plot.handles['edge_colormapper'] edge_source = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertIsInstance(cmapper, LinearColorMapper) self.assertEqual(cmapper.low, self.weights.min()) self.assertEqual(cmapper.high, self.weights.max()) self.assertEqual(edge_source.data['Weight'], self.node_info2['Weight']) self.assertEqual(property_to_dict(glyph.line_color), {'field': 'Weight', 'transform': cmapper}) ########################### # Styling mapping # ########################### def test_graph_op_node_color(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 'red'), (0, 1, 1, 'green'), (1, 1, 2, 'blue')], vdims='color') graph = Graph((edges, nodes)).opts(node_color='color') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'node_color'}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['node_color'], np.array(['red', 'green', 'blue'])) def test_graph_op_node_color_linear(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 0.5), (0, 1, 1, 1.5), (1, 1, 2, 2.5)], vdims='color') graph = Graph((edges, nodes)).opts(node_color='color') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] cmapper = plot.handles['node_color_color_mapper'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'node_color', 'transform': cmapper}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['node_color'], np.array([0.5, 1.5, 2.5])) def test_graph_op_node_color_colorbar(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 0.5), (0, 1, 1, 1.5), (1, 1, 2, 2.5)], vdims='color') graph = Graph((edges, nodes)).opts(node_color='color', colorbar=True) plot = bokeh_renderer.get_plot(graph) assert 'node_color_colorbar' in plot.handles assert plot.handles['node_color_colorbar'].color_mapper is plot.handles['node_color_color_mapper'] def test_graph_op_node_color_categorical(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 'A'), (0, 1, 1, 'B'), (1, 1, 2, 'C')], vdims='color') graph = Graph((edges, nodes)).opts(node_color='color') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] cmapper = plot.handles['node_color_color_mapper'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'node_color', 'transform': cmapper}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['node_color'], np.array(['A', 'B', 'C'])) def test_graph_op_node_size(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 2), (0, 1, 1, 4), (1, 1, 2, 6)], vdims='size') graph = Graph((edges, nodes)).opts(node_size='size') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.size), {'field': 'node_size'}) self.assertEqual(cds.data['node_size'], np.array([2, 4, 6])) def test_graph_op_node_alpha(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 0.2), (0, 1, 1, 0.6), (1, 1, 2, 1)], vdims='alpha') graph = Graph((edges, nodes)).opts(node_alpha='alpha') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.fill_alpha), {'field': 'node_alpha'}) self.assertEqual(property_to_dict(glyph.line_alpha), {'field': 'node_alpha'}) self.assertEqual(cds.data['node_alpha'], np.array([0.2, 0.6, 1])) def test_graph_op_node_line_width(self): edges = [(0, 1), (0, 2)] nodes = Nodes([(0, 0, 0, 2), (0, 1, 1, 4), (1, 1, 2, 6)], vdims='line_width') graph = Graph((edges, nodes)).opts(node_line_width='line_width') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.line_width), {'field': 'node_line_width'}) self.assertEqual(cds.data['node_line_width'], np.array([2, 4, 6])) def test_graph_op_edge_color(self): edges = [(0, 1, 'red'), (0, 2, 'green'), (1, 3, 'blue')] graph = Graph(edges, vdims='color').opts(edge_color='color') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color'}) self.assertEqual(cds.data['edge_color'], np.array(['red', 'green', 'blue'])) def test_graph_op_edge_color_linear(self): edges = [(0, 1, 2), (0, 2, 0.5), (1, 3, 3)] graph = Graph(edges, vdims='color').opts(edge_color='color') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] cmapper = plot.handles['edge_color_color_mapper'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color', 'transform': cmapper}) self.assertEqual(cds.data['edge_color'], np.array([2, 0.5, 3])) def test_graph_op_edge_color_colorbar(self): edges = [(0, 1, 2), (0, 2, 0.5), (1, 3, 3)] graph = Graph(edges, vdims='color').opts(edge_color='color', colorbar=True) plot = bokeh_renderer.get_plot(graph) assert 'edge_color_colorbar' in plot.handles assert plot.handles['edge_color_colorbar'].color_mapper is plot.handles['edge_color_color_mapper'] def test_graph_op_edge_color_categorical(self): edges = [(0, 1, 'C'), (0, 2, 'B'), (1, 3, 'A')] graph = Graph(edges, vdims='color').opts(edge_color='color') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] cmapper = plot.handles['edge_color_color_mapper'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color', 'transform': cmapper}) self.assertEqual(cds.data['edge_color'], np.array(['C', 'B', 'A'])) def test_graph_op_edge_alpha(self): edges = [(0, 1, 0.1), (0, 2, 0.5), (1, 3, 0.3)] graph = Graph(edges, vdims='alpha').opts(edge_alpha='alpha') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertEqual(property_to_dict(glyph.line_alpha), {'field': 'edge_alpha'}) self.assertEqual(cds.data['edge_alpha'], np.array([0.1, 0.5, 0.3])) def test_graph_op_edge_line_width(self): edges = [(0, 1, 2), (0, 2, 10), (1, 3, 6)] graph = Graph(edges, vdims='line_width').opts(edge_line_width='line_width') plot = bokeh_renderer.get_plot(graph) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertEqual(property_to_dict(glyph.line_width), {'field': 'edge_line_width'}) self.assertEqual(cds.data['edge_line_width'], np.array([2, 10, 6])) class TestBokehTriMeshPlot(TestBokehPlot): def setUp(self): super().setUp() self.nodes = [(0, 0, 0), (0.5, 1, 1), (1., 0, 2), (1.5, 1, 3)] self.simplices = [(0, 1, 2, 0), (1, 2, 3, 1)] self.trimesh = TriMesh((self.simplices, self.nodes)) self.trimesh_weighted = TriMesh((self.simplices, self.nodes), vdims='weight') def test_plot_simple_trimesh(self): plot = bokeh_renderer.get_plot(self.trimesh) node_source = plot.handles['scatter_1_source'] edge_source = plot.handles['multi_line_1_source'] layout_source = plot.handles['layout_source'] self.assertEqual(node_source.data['index'], np.arange(4)) self.assertEqual(edge_source.data['start'], np.arange(2)) self.assertEqual(edge_source.data['end'], np.arange(1, 3)) layout = {z: (x, y) for x, y, z in self.trimesh.nodes.array()} self.assertEqual(layout_source.graph_layout, layout) def test_plot_simple_trimesh_filled(self): plot = bokeh_renderer.get_plot(self.trimesh.opts(filled=True)) node_source = plot.handles['scatter_1_source'] edge_source = plot.handles['patches_1_source'] layout_source = plot.handles['layout_source'] self.assertIsInstance(plot.handles['patches_1_glyph'], Patches) self.assertEqual(node_source.data['index'], np.arange(4)) self.assertEqual(edge_source.data['start'], np.arange(2)) self.assertEqual(edge_source.data['end'], np.arange(1, 3)) layout = {z: (x, y) for x, y, z in self.trimesh.nodes.array()} self.assertEqual(layout_source.graph_layout, layout) def test_trimesh_edges_categorical_colormapped(self): g = self.trimesh.opts( edge_color_index='node1', edge_cmap=['#FFFFFF', '#000000'] ) plot = bokeh_renderer.get_plot(g) cmapper = plot.handles['edge_colormapper'] edge_source = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertIsInstance(cmapper, CategoricalColorMapper) factors = ['0', '1', '2', '3'] self.assertEqual(cmapper.factors, factors) self.assertEqual(edge_source.data['node1_str__'], ['0', '1']) self.assertEqual(property_to_dict(glyph.line_color), {'field': 'node1_str__', 'transform': cmapper}) def test_trimesh_nodes_numerically_colormapped(self): g = self.trimesh_weighted.opts( edge_color_index='weight', edge_cmap=['#FFFFFF', '#000000'] ) plot = bokeh_renderer.get_plot(g) cmapper = plot.handles['edge_colormapper'] edge_source = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertIsInstance(cmapper, LinearColorMapper) self.assertEqual(cmapper.low, 0) self.assertEqual(cmapper.high, 1) self.assertEqual(edge_source.data['weight'], np.array([0, 1])) self.assertEqual(property_to_dict(glyph.line_color), {'field': 'weight', 'transform': cmapper}) ########################### # Styling mapping # ########################### def test_trimesh_op_node_color(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 'red'), (0, 0, 1, 'green'), (0, 1, 2, 'blue'), (1, 0, 3, 'black')] trimesh = TriMesh((edges, Nodes(nodes, vdims='color'))).opts(node_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'node_color'}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['node_color'], np.array(['red', 'green', 'blue', 'black'])) def test_trimesh_op_node_color_linear(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 2), (0, 0, 1, 1), (0, 1, 2, 3), (1, 0, 3, 4)] trimesh = TriMesh((edges, Nodes(nodes, vdims='color'))).opts(node_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] cmapper = plot.handles['node_color_color_mapper'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'node_color', 'transform': cmapper}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['node_color'], np.array([2, 1, 3, 4])) self.assertEqual(cmapper.low, 1) self.assertEqual(cmapper.high, 4) def test_trimesh_op_node_color_categorical(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 'B'), (0, 0, 1, 'C'), (0, 1, 2, 'A'), (1, 0, 3, 'B')] trimesh = TriMesh((edges, Nodes(nodes, vdims='color'))).opts(node_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] cmapper = plot.handles['node_color_color_mapper'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'node_color', 'transform': cmapper}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['node_color'], np.array(['B', 'C', 'A', 'B'])) def test_trimesh_op_node_size(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 3), (0, 0, 1, 2), (0, 1, 2, 8), (1, 0, 3, 4)] trimesh = TriMesh((edges, Nodes(nodes, vdims='size'))).opts(node_size='size') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.size), {'field': 'node_size'}) self.assertEqual(cds.data['node_size'], np.array([3, 2, 8, 4])) def test_trimesh_op_node_alpha(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 0.2), (0, 0, 1, 0.6), (0, 1, 2, 1), (1, 0, 3, 0.3)] trimesh = TriMesh((edges, Nodes(nodes, vdims='alpha'))).opts(node_alpha='alpha') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.fill_alpha), {'field': 'node_alpha'}) self.assertEqual(property_to_dict(glyph.line_alpha), {'field': 'node_alpha'}) self.assertEqual(cds.data['node_alpha'], np.array([0.2, 0.6, 1, 0.3])) def test_trimesh_op_node_line_width(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 0.2), (0, 0, 1, 0.6), (0, 1, 2, 1), (1, 0, 3, 0.3)] trimesh = TriMesh((edges, Nodes(nodes, vdims='line_width'))).opts(node_line_width='line_width') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['scatter_1_source'] glyph = plot.handles['scatter_1_glyph'] self.assertEqual(property_to_dict(glyph.line_width), {'field': 'node_line_width'}) self.assertEqual(cds.data['node_line_width'], np.array([0.2, 0.6, 1, 0.3])) def test_trimesh_op_edge_color_linear_mean_node(self): edges = [(0, 1, 2), (1, 2, 3)] nodes = [(-1, -1, 0, 2), (0, 0, 1, 1), (0, 1, 2, 3), (1, 0, 3, 4)] trimesh = TriMesh((edges, Nodes(nodes, vdims='color'))).opts(edge_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] cmapper = plot.handles['edge_color_color_mapper'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color', 'transform': cmapper}) self.assertEqual(cds.data['edge_color'], np.array([2, 8/3.])) self.assertEqual(cmapper.low, 1) self.assertEqual(cmapper.high, 4) def test_trimesh_op_edge_color(self): edges = [(0, 1, 2, 'red'), (1, 2, 3, 'blue')] nodes = [(-1, -1, 0), (0, 0, 1), (0, 1, 2), (1, 0, 3)] trimesh = TriMesh((edges, nodes), vdims='color').opts(edge_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color'}) self.assertEqual(cds.data['edge_color'], np.array(['red', 'blue'])) def test_trimesh_op_edge_color_linear(self): edges = [(0, 1, 2, 2.4), (1, 2, 3, 3.6)] nodes = [(-1, -1, 0), (0, 0, 1), (0, 1, 2), (1, 0, 3)] trimesh = TriMesh((edges, nodes), vdims='color').opts(edge_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] cmapper = plot.handles['edge_color_color_mapper'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color', 'transform': cmapper}) self.assertEqual(cds.data['edge_color'], np.array([2.4, 3.6])) self.assertEqual(cmapper.low, 2.4) self.assertEqual(cmapper.high, 3.6) def test_trimesh_op_edge_color_linear_filled(self): edges = [(0, 1, 2, 2.4), (1, 2, 3, 3.6)] nodes = [(-1, -1, 0), (0, 0, 1), (0, 1, 2), (1, 0, 3)] trimesh = TriMesh((edges, nodes), vdims='color').opts(edge_color='color', filled=True) plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['patches_1_source'] glyph = plot.handles['patches_1_glyph'] cmapper = plot.handles['edge_color_color_mapper'] self.assertEqual(property_to_dict(glyph.fill_color), {'field': 'edge_color', 'transform': cmapper}) self.assertEqual(glyph.line_color, 'black') self.assertEqual(cds.data['edge_color'], np.array([2.4, 3.6])) self.assertEqual(cmapper.low, 2.4) self.assertEqual(cmapper.high, 3.6) def test_trimesh_op_edge_color_categorical(self): edges = [(0, 1, 2, 'A'), (1, 2, 3, 'B')] nodes = [(-1, -1, 0), (0, 0, 1), (0, 1, 2), (1, 0, 3)] trimesh = TriMesh((edges, nodes), vdims='color').opts(edge_color='color') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] cmapper = plot.handles['edge_color_color_mapper'] self.assertEqual(property_to_dict(glyph.line_color), {'field': 'edge_color', 'transform': cmapper}) self.assertEqual(cds.data['edge_color'], np.array(['A', 'B'])) self.assertEqual(cmapper.factors, ['A', 'B']) def test_trimesh_op_edge_alpha(self): edges = [(0, 1, 2, 0.7), (1, 2, 3, 0.3)] nodes = [(-1, -1, 0), (0, 0, 1), (0, 1, 2), (1, 0, 3)] trimesh = TriMesh((edges, nodes), vdims='alpha').opts(edge_alpha='alpha') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertEqual(property_to_dict(glyph.line_alpha), {'field': 'edge_alpha'}) self.assertEqual(cds.data['edge_alpha'], np.array([0.7, 0.3])) def test_trimesh_op_edge_line_width(self): edges = [(0, 1, 2, 7), (1, 2, 3, 3)] nodes = [(-1, -1, 0), (0, 0, 1), (0, 1, 2), (1, 0, 3)] trimesh = TriMesh((edges, nodes), vdims='line_width').opts(edge_line_width='line_width') plot = bokeh_renderer.get_plot(trimesh) cds = plot.handles['multi_line_1_source'] glyph = plot.handles['multi_line_1_glyph'] self.assertEqual(property_to_dict(glyph.line_width), {'field': 'edge_line_width'}) self.assertEqual(cds.data['edge_line_width'], np.array([7, 3])) class TestBokehChordPlot(TestBokehPlot): def setUp(self): super().setUp() self.edges = [(0, 1, 1), (0, 2, 2), (1, 2, 3)] self.nodes = Dataset([(0, 'A'), (1, 'B'), (2, 'C')], 'index', 'Label') self.chord = Chord((self.edges, self.nodes)) def test_chord_draw_order(self): plot = bokeh_renderer.get_plot(self.chord) renderers = plot.state.renderers graph_renderer = plot.handles['glyph_renderer'] arc_renderer = plot.handles['multi_line_2_glyph_renderer'] self.assertTrue(renderers.index(arc_renderer)