{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Plotting Template Transformer\n\n\nAn example plot of :class:`consensuscluster.template.TemplateTransformer`\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nfrom matplotlib import pyplot as plt\nfrom consensuscluster import TemplateTransformer\n\nX = np.arange(50, dtype=np.float).reshape(-1, 1)\nX /= 50\nestimator = TemplateTransformer()\nX_transformed = estimator.fit_transform(X)\n\nplt.plot(X.flatten(), label='Original Data')\nplt.plot(X_transformed.flatten(), label='Transformed Data')\nplt.title('Plots of original and transformed data')\n\nplt.legend(loc='best')\nplt.grid(True)\nplt.xlabel('Index')\nplt.ylabel('Value of Data')\n\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": "3.7.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}