metachat.pl.plot_graph_connectivity

metachat.pl.plot_graph_connectivity(G, node_size=10.0, linewidths=1.0, width=1.0, show_weights=False, weight_fontsize=8, figsize=(8, 8), plot_savepath=None)

Plot a 2D visualization of a graph showing connectivity between nodes and edges.

This function visualizes a graph structure (e.g., communication connectivity or spatial relationships) using node coordinates as (x, y) positions. Optionally, edge weights can be displayed as labels.

Parameters

Gnetworkx.Graph

Input graph where each node represents a 2D point (tuple of x, y coordinates) and edges may have an optional 'weight' attribute.

node_sizefloat, default=10.0

Marker size of nodes.

linewidthsfloat, default=1.0

Line width of node borders.

widthfloat, default=1.0

Width of edges.

show_weightsbool, default=False

Whether to display numerical edge weights on the plot.

weight_fontsizeint, default=8

Font size of edge weight annotations (effective only if show_weights=True).

figsizetuple of float, default=(8, 8)

Figure size (width, height) in inches.

plot_savepathstr, optional

File path to save the figure (e.g., "results/graph_connectivity.png"). If None, the figure is shown interactively.

Returns

axmatplotlib.axes.Axes

Matplotlib axis containing the rendered graph.

Notes

• Node coordinates are assumed to be stored as the node keys, e.g. (x, y) tuples.

• Edge weights (if any) are visualized with labels when show_weights=True.

• Commonly used for inspecting graph connectivity matrices derived from spatial MCC data.