{
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    {
      "cell_type": "code",
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      "source": [
        "%matplotlib inline"
      ]
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    {
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      "metadata": {},
      "source": [
        "\n# 3D Horse Data\n\n\nThis example generates a Mapper built from a point-cloud sampled from a 3D model of a horse.\n\n`Visualization of the horse data <../../_static/horse.html>`_\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\nimport sklearn\n\nimport kmapper as km\n\ndata = np.genfromtxt(\"data/horse-reference.csv\", delimiter=\",\")\n\nmapper = km.KeplerMapper(verbose=2)\n\n\nlens = mapper.fit_transform(data)\n\n\ngraph = mapper.map(\n    lens,\n    data,\n    clusterer=sklearn.cluster.DBSCAN(eps=0.1, min_samples=5),\n    cover=km.Cover(30, 0.2),\n)\n\nmapper.visualize(\n    graph, path_html=\"output/horse.html\", custom_tooltips=np.arange(len(lens))\n)\n\n\nkm.drawing.draw_matplotlib(graph)\nplt.show()"
      ]
    }
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