Foraging table

This example visualises a table of foraging strategies, as found at https://doi.org/10.1111/1365-2656.13609.

Warning

The edge thicknesses are manually set to mimic the original figure a little, not derived from real data. This is just for illustration.

from collections import defaultdict
import numpy as np
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
import iplotx as ipx


common_style = {
    "vertex": {
        "linewidth": 2,
        "edgecolor": "black",
    },
    "edge": {
        "color": "grey",
        "tension": 0.75,
        "curved": True,
        "arrow": {
            "width": 0,
        }
    }
}


# Create figure and subplots
fig, axs = plt.subplots(3, 2, figsize=(6, 9))

# Two examples with 5 nodes
g = nx.complete_graph(range(1, 6), nx.DiGraph)
layout = nx.circular_layout(g)
ipx.plot(
    g, layout, ax=axs[0, 0],
    vertex_labels=True,
    style=common_style,
    vertex_facecolor=["black"] + ["white"] * 4,
    vertex_label_color=["white"] + ["black"] * 4,
    vertex_marker=["o"] * 4 + ["s"],
    vertex_size=[20] * 4 + [25],
    edge_linewidth=defaultdict(lambda: 1, {(4, 5): 1.5, (5, 1): 1.5}),
)
ipx.plot(
    g, layout, ax=axs[0, 1],
    vertex_labels=True,
    style=common_style,
    vertex_facecolor=["black"] + ["white"] * 4,
    vertex_label_color=["white"] + ["black"] * 4,
    vertex_marker=["o"] * 4 + ["s"],
    vertex_size=[25] * 4 + [30],
    edge_linewidth=defaultdict(
        lambda: 3, {
            (4, 2): 1, (4, 3): 1.5, (4, 5): 1.5,
        },
    ),
)

# Two examples with 6 nodes
g = nx.complete_graph([1, 2, 3, 4, 6, 5], nx.DiGraph)
layout = nx.circular_layout(g)
ipx.plot(
    g, layout, ax=axs[1, 0],
    vertex_labels=True,
    style=common_style,
    vertex_facecolor=["black"] + ["white"] * 2 + ["black"] * 3,
    vertex_label_color=["white"] + ["black"] * 2 + ["white"] * 3,
    vertex_size=[30] * 2 + [25, 20]  * 2,
    edge_linewidth=defaultdict(
        lambda: 1, {
            (1, 2): 6, (2, 1): 6, (6, 2): 4, (6, 4): 4, (6, 1): 4, (6, 5): 4, (5, 6): 4, (5, 3): 4, (5, 4): 3,
        },
    ),
)
ipx.plot(
    g, layout, ax=axs[1, 1],
    vertex_labels=True,
    style=common_style,
    vertex_facecolor=["black"] + ["white"] * 2 + ["black"] * 3,
    vertex_label_color=["white"] + ["black"] * 2 + ["white"] * 3,
    vertex_size=[30] * 2 + [20] + [30] * 2 + [25],
    edge_linewidth=defaultdict(
        lambda: 1, {
            (1, 2): 7, (2, 1): 7, (6, 2): 4, (6, 4): 6, (4, 6): 6, (6, 1): 4, (6, 5): 4, (5, 6): 4, (5, 3): 4, (5, 4): 3,
        },
    ),
)

# Two examples with 4 nodes
g = nx.complete_graph(range(1, 5), nx.DiGraph)
layout = nx.circular_layout(g)
ipx.plot(
    g, layout, ax=axs[2, 0],
    vertex_labels=True,
    style=common_style,
    vertex_facecolor=["white"] + ["black"] * 3,
    vertex_label_color=["black"] + ["white"] * 3,
    vertex_size=[25] * 3 + [30],
)

g = nx.complete_graph([1, 2, 3, 5], nx.DiGraph)
layout = nx.circular_layout(g)
ipx.plot(
    g, layout, ax=axs[2, 1],
    vertex_labels=True,
    style=common_style,
    vertex_facecolor=["black"] + ["white"] * 3,
    vertex_label_color=["white"] + ["black"] * 3,
    vertex_size=[20, 25] * 2,
    vertex_marker=["o"] * 3 + ["s"],
    edge_linewidth=defaultdict(
        lambda: 3, {
            (1, 3): 1, (3, 1): 1.5, (3, 5): 1,
        },
    ),
)


fig.tight_layout()