Labels and colors

This example from networkx demonstrates how to use transparency to overlay multiple plots with distinct highlights.

import networkx as nx
import matplotlib.pyplot as plt
import iplotx as ipx

G = nx.cubical_graph()
pos = nx.spring_layout(G, seed=3113794652)  # positions for all nodes
nx.set_node_attributes(G, pos, "pos")  # Will not be needed after PR 7571
labels = iter(
    [
        r"$a$",
        r"$b$",
        r"$c$",
        r"$d$",
        r"$\alpha$",
        r"$\beta$",
        r"$\gamma$",
        r"$\delta$",
    ]
)
nx.set_node_attributes(
    G,
    {
        n: {
            "color": "tab:red" if n < 4 else "tab:blue",
            "label": next(labels),
        }
        for n in G.nodes()
    },
)

fig, ax = plt.subplots(figsize=(5, 4))
ipx.plot(
    G,
    ax=ax,
    layout="pos",
    vertex_labels=True,
    style={
        "vertex": {
            "facecolor": G.nodes.data("color"),
            "alpha": G.nodes.data("alpha"),
            "size": 40,
            "label": {"size": 22, "color": "whitesmoke"},
            "zorder": 7,
        },
        "edge": {
            "color": "tab:grey",
        },
    },
)
for i in range(2):
    subG = G.subgraph(range(i * 4, (i + 1) * 4))
    ipx.plot(
        subG,
        layout="pos",
        ax=ax,
        style={
            "edge": {
                "color": ["tab:red", "tab:blue"][i],
                "alpha": 0.5,
                "linewidth": 8,
                "zorder": 0,
            },
            "vertex": {
                "size": 35,
                "alpha": 0,
            },
        },
    )
plt.tight_layout()