Deploying to gh-pages from @ networkx/networkx@6be702047b1bb596a8010cf80911bb6ea939b1d1 🚀

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+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Decomposition\n\nExample of creating a junction tree from a directed graph.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\nimport networkx as nx\n\nB = nx.DiGraph()\nB.add_nodes_from([\"A\", \"B\", \"C\", \"D\", \"E\", \"F\"])\nB.add_edges_from(\n    [(\"A\", \"B\"), (\"A\", \"C\"), (\"B\", \"D\"), (\"B\", \"F\"), (\"C\", \"E\"), (\"E\", \"F\")]\n)\n\noptions = {\"with_labels\": True, \"node_color\": \"white\", \"edgecolors\": \"blue\"}\n\nfig = plt.figure(figsize=(6, 9))\naxgrid = fig.add_gridspec(3, 2)\n\nax1 = fig.add_subplot(axgrid[0, 0])\nax1.set_title(\"Bayesian Network\")\npos = nx.nx_agraph.graphviz_layout(B, prog=\"neato\")\nnx.draw_networkx(B, pos=pos, **options)\n\nmg = nx.moral_graph(B)\nax2 = fig.add_subplot(axgrid[0, 1], sharex=ax1, sharey=ax1)\nax2.set_title(\"Moralized Graph\")\nnx.draw_networkx(mg, pos=pos, **options)\n\njt = nx.junction_tree(B)\nax3 = fig.add_subplot(axgrid[1:, :])\nax3.set_title(\"Junction Tree\")\nax3.margins(0.15, 0.25)\nnsize = [2000 * len(n) for n in list(jt.nodes())]\npos = nx.nx_agraph.graphviz_layout(jt, prog=\"neato\")\nnx.draw_networkx(jt, pos=pos, node_size=nsize, **options)\n\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": "3.9.15"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
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