glyph = MultiLine ( line_color = "#CCCCCC", line_alpha = 0.8, line_width = 5 ) graph_renderer. hover_glyph = Circle ( size = 15, fill_color = Spectral4 ) graph_renderer. selection_glyph = Circle ( size = 15, fill_color = Spectral4 ) graph_renderer. glyph = Circle ( size = 15, fill_color = Spectral4 ) graph_renderer. circular_layout, scale = 1, center = ( 0, 0 )) graph_renderer. add_tools ( HoverTool ( tooltips = None ), TapTool (), BoxSelectTool ()) graph_renderer = from_networkx ( G, nx. text = "Graph Interaction Demonstration" plot. Import networkx as nx from bokeh.models import ( BoxSelectTool, Circle, HoverTool, MultiLine, NodesAndLinkedEdges, Plot, Range1d, TapTool ) from bokeh.palettes import Spectral4 from otting import from_networkx, show G = nx.
append ( bezier ( sy, ey, 0, steps )) graph. append ( bezier ( sx, ex, 0, steps )) ys. layout_provider = StaticLayoutProvider ( graph_layout = graph_layout ) # draw quadratic bezier paths def bezier ( start, end, control, steps ): return xs, ys =, sx, sy = graph_layout steps = for node_index in node_indices : ex, ey = graph_layout xs.
#Bokeh python example zip
data = dict ( start = * N, end = node_indices ) # create a static layout circ = x = y = graph_layout = dict ( zip ( node_indices, zip ( x, y ))) graph. glyph = Ellipse ( height = 0.1, width = 0.2, fill_color = "color" ) graph. Import math from bokeh.models import Ellipse, GraphRenderer, StaticLayoutProvider from bokeh.palettes import Spectral8 from otting import figure, show N = 8 node_indices = list ( range ( N )) plot = figure ( title = "Graph Layout Demonstration", x_range = ( - 1.1, 1.1 ), y_range = ( - 1.1, 1.1 ), tools = "", toolbar_location = None ) graph = GraphRenderer () graph. The following codes snippet uses this provider model to produce a data = dict ( start = * N, end = node_indices )īokeh comes with a built-in LayoutProvider model that includesĪ dictionary of (x,y) coordinates for nodes. data = dict ( index = node_indices, fill_color = Spectral8 ) # add the rest of the assigned values to the data source graph. glyph = Ellipse ( height = 0.1, width = 0.2, fill_color = "fill_color" ) # assign a palette to ``fill_color`` and add it to the data source graph. Import math from otting import figure from bokeh.models import GraphRenderer, Ellipse from bokeh.palettes import Spectral8 # list the nodes and initialize a plot N = 8 node_indices = list ( range ( N )) plot = figure ( title = "Graph layout demonstration", x_range = ( - 1.1, 1.1 ), y_range = ( - 1.1, 1.1 ), tools = "", toolbar_location = None ) graph = GraphRenderer () # replace the node glyph with an ellipse # set its height, width, and fill_color graph. Glyph styling or make data available for callbacks or hover tooltips.Īssigns scalar values to the height and width attributes of the Ellipse,Īssigns a palette to the fill_color attribute of the Ellipse,Īnd adds the assigned values to the node data source. You can add extra meta-data to these sources to enable vectorized Indices for the start and end of the edges. The ColumnDataSource of the edge sub-renderer must have a "index" column with the unique indices of the nodes.
The ColumnDataSource of the node sub-renderer must have an Observe the following requirements for the data sources belonging Of edges through the edge_renderer property. You can similarly modify the style properties The default Circle node glyph with any instance of the XYGlyph such as The node_renderer property of the GraphRenderer.
This lets you customize nodes by modifying The GraphRenderer model maintains separate sub- GlyphRenderersįor graph nodes and edges. Bokeh lets you create network graph visualizations and configure
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