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diff --git a/_downloads/13a207a5939541ecfa4ab2ab65ffd8f6/plot_dag_layout.ipynb b/_downloads/13a207a5939541ecfa4ab2ab65ffd8f6/plot_dag_layout.ipynb new file mode 100644 index 00000000..b690a261 --- /dev/null +++ b/_downloads/13a207a5939541ecfa4ab2ab65ffd8f6/plot_dag_layout.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# DAG - Topological Layout\n\nThis example combines the `topological_generations` generator with\n`multipartite_layout` to show how to visualize a DAG in topologically-sorted\norder.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import networkx as nx\nimport matplotlib.pyplot as plt\n\n\nG = nx.DiGraph(\n [\n (\"f\", \"a\"),\n (\"a\", \"b\"),\n (\"a\", \"e\"),\n (\"b\", \"c\"),\n (\"b\", \"d\"),\n (\"d\", \"e\"),\n (\"f\", \"c\"),\n (\"f\", \"g\"),\n (\"h\", \"f\"),\n ]\n)\n\nfor layer, nodes in enumerate(nx.topological_generations(G)):\n # `multipartite_layout` expects the layer as a node attribute, so add the\n # numeric layer value as a node attribute\n for node in nodes:\n G.nodes[node][\"layer\"] = layer\n\n# Compute the multipartite_layout using the \"layer\" node attribute\npos = nx.multipartite_layout(G, subset_key=\"layer\")\n\nfig, ax = plt.subplots()\nnx.draw_networkx(G, pos=pos, ax=ax)\nax.set_title(\"DAG layout in topological order\")\nfig.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": "3.9.15" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +}
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