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{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Sampson\n\nSampson's monastery data.\n\nShows how to read data from a zip file and plot multiple frames.\n\nThe data file can be found at:\n\n- https://github.com/networkx/networkx/blob/main/examples/drawing/sampson_data.zip\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import zipfile\nfrom io import BytesIO as StringIO\n\nimport matplotlib.pyplot as plt\nimport networkx as nx\n\nwith zipfile.ZipFile(\"sampson_data.zip\") as zf:\n    e1 = StringIO(zf.read(\"samplike1.txt\"))\n    e2 = StringIO(zf.read(\"samplike2.txt\"))\n    e3 = StringIO(zf.read(\"samplike3.txt\"))\n\nG1 = nx.read_edgelist(e1, delimiter=\"\\t\")\nG2 = nx.read_edgelist(e2, delimiter=\"\\t\")\nG3 = nx.read_edgelist(e3, delimiter=\"\\t\")\npos = nx.spring_layout(G3, iterations=100, seed=173)\nplt.clf()\n\nplt.subplot(221)\nplt.title(\"samplike1\")\nnx.draw(G1, pos, node_size=50, with_labels=False)\nplt.subplot(222)\nplt.title(\"samplike2\")\nnx.draw(G2, pos, node_size=50, with_labels=False)\nplt.subplot(223)\nplt.title(\"samplike3\")\nnx.draw(G3, pos, node_size=50, with_labels=False)\nplt.subplot(224)\nplt.title(\"samplike1,2,3\")\nnx.draw(G3, pos, edgelist=list(G3.edges()), node_size=50, with_labels=False)\nnx.draw_networkx_edges(G1, pos, alpha=0.25)\nnx.draw_networkx_edges(G2, pos, alpha=0.25)\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
}