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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Weighted Graph\n\nAn example using Graph as a weighted network.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\nimport networkx as nx\n\nG = nx.Graph()\n\nG.add_edge(\"a\", \"b\", weight=0.6)\nG.add_edge(\"a\", \"c\", weight=0.2)\nG.add_edge(\"c\", \"d\", weight=0.1)\nG.add_edge(\"c\", \"e\", weight=0.7)\nG.add_edge(\"c\", \"f\", weight=0.9)\nG.add_edge(\"a\", \"d\", weight=0.3)\n\nelarge = [(u, v) for (u, v, d) in G.edges(data=True) if d[\"weight\"] > 0.5]\nesmall = [(u, v) for (u, v, d) in G.edges(data=True) if d[\"weight\"] <= 0.5]\n\npos = nx.spring_layout(G, seed=7) # positions for all nodes - seed for reproducibility\n\n# nodes\nnx.draw_networkx_nodes(G, pos, node_size=700)\n\n# edges\nnx.draw_networkx_edges(G, pos, edgelist=elarge, width=6)\nnx.draw_networkx_edges(\n G, pos, edgelist=esmall, width=6, alpha=0.5, edge_color=\"b\", style=\"dashed\"\n)\n\n# node labels\nnx.draw_networkx_labels(G, pos, font_size=20, font_family=\"sans-serif\")\n# edge weight labels\nedge_labels = nx.get_edge_attributes(G, \"weight\")\nnx.draw_networkx_edge_labels(G, pos, edge_labels)\n\nax = plt.gca()\nax.margins(0.08)\nplt.axis(\"off\")\nplt.tight_layout()\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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