GOOD.utils.graph_visualize
Matplotlib utils for graph plots.
Functions
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Processing of graphs before plot |
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Plot a graph with Matplotlib |
- GOOD.utils.graph_visualize.plot_calculation_graph(calculation_graph, graph_idx=0, color_attr=None, k_hop=None, **kwargs)[source]
Processing of graphs before plot
- Parameters
calculation_graph (Batch) – graph data to be processed
graph_idx (int, list, tuple or torch.Tensor) – the central node(s)
color_attr (str or None) – color attribute of nodes
k_hop (int) – number of hops in graph to plot
**kwargs – key word arguments for the use of
plot_graph()
- Returns
None
- GOOD.utils.graph_visualize.plot_graph(nx_Gs, color_attr=None, colors=None, font_color='white', font_size=12, node_size=300, arrows=True, vmin=None, vmax=None, pos=None, line_width=1.0, enable_label=True, label_attr=None, enable_colorbar=True, save_fig_path=None)[source]
Plot a graph with Matplotlib
- Parameters
nx_Gs (Graph) – input graph (
networkx.Graph)color_attr (str or None) – color attribute of nodes
font_color (str) – font color in plot
node_size (int) – Size of nodes.
arrows (bool or None) – arrowheads style for drawing. If None, directed graphs draw arrowheads with FancyArrowPatch, while undirected graphs draw edges via LineCollection for speed. If True, draw arrowheads with FancyArrowPatches (bendable and stylish). If False, draw edges using LineCollection (linear and fast).
vmin (float or None) – minimum for node colormap scaling
vmax (float or None) – maximum for node colormap scaling
pos (list or None) – positions values of nodes
line_width (float) – line width in plot
enable_label (bool) – whether to add labels in plot
enable_colorbar (bool) – whether to use colorbar in plot
save_fig_path (str or None) – path to save plot file
- Returns
None