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 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# make_circles_example"
   ]
  },
  {
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   "execution_count": null,
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   "source": [
    "from cartographer.mapper import Mapper\n",
    "from cartographer.coverers import HyperRectangleCoverer\n",
    "from sklearn import datasets\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "data, labels = datasets.make_circles(n_samples=5000, noise=0.03, factor=0.3)\n",
    "\n",
    "params = {'coverer__intervals' :10,\n",
    "          'coverer__overlap' : 0.1,\n",
    "          'clusterer__min_samples' : 3,\n",
    "          'clusterer__eps': 0.5}\n",
    "m = Mapper(params=params)\n",
    "\n",
    "scaled_data = MinMaxScaler().fit_transform(data)\n",
    "m.fit(data,scaled_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "60f7f9bb-fd1c-4c74-8097-a5f19803eebe"
    }
   },
   "outputs": [],
   "source": [
    "from cartographer.visualization import html_graph\n",
    "from IPython.core.display import HTML\n",
    "HTML(html_graph(m,\n",
    "                {\"labels\":labels},\n",
    "                {\"y[0]\" : scaled_data[:,0],\n",
    "                 \"y[1]\" : scaled_data[:,1]}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "from matplotlib.pyplot import cm \n",
    "import numpy as np\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(20,20))\n",
    "\n",
    "ax = fig.add_subplot(111, aspect='equal')\n",
    "ax.axes.set_xlim([-0.2,1.2])\n",
    "ax.axes.set_ylim([-0.2,1.2])\n",
    "\n",
    "color=iter(cm.rainbow(np.linspace(0,1,m.coverer.lowerbounds.shape[0])))\n",
    "\n",
    "for lb, up in zip(m.coverer.lowerbounds,m.coverer.upperbounds):\n",
    "    c=next(color)\n",
    "    ax.add_patch(patches.Rectangle(lb,*(up-lb),fill=False, edgecolor=c))\n",
    "\n",
    "ax.plot(scaled_data[:,0],scaled_data[:,1],\".\");"
   ]
  }
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