classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ClusterPy: Library of spatially constrained clustering algorithms\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import cPickle as pickle\n",
    "\n",
    "from osgeo import ogr, gdal, osr\n",
    "import fiona\n",
    "from shapely.geometry import shape, Point, Polygon, MultiLineString, MultiPoint, MultiPolygon, LineString\n",
    "\n",
    "\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib as mpl\n",
    "inline_rc = dict(mpl.rcParams)\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "import clusterpy\n",
    "\n",
    "\n",
    "import itertools\n",
    "from sklearn.neighbors import KDTree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_shapefile(filename, parameters = []):\n",
    "\n",
    "\n",
    "    \n",
    "    c = fiona.open(filename)\n",
    "\n",
    "    if c[0]['geometry']['type'] == 'Polygon':\n",
    "        shp = MultiPolygon([shape(pol['geometry']) for pol in c])\n",
    "\n",
    "    elif c[0]['geometry']['type'] == 'LineString':\n",
    "        shp = MultiLineString([shape(pol['geometry']) for pol in c])\n",
    "\n",
    "    elif c[0]['geometry']['type'] == 'Point':\n",
    "        shp = MultiPoint([shape(pol['geometry']) for pol in c])\n",
    "\n",
    "    else:\n",
    "        shp = [shape(pol['geometry']) for pol in c]\n",
    "        \n",
    "        \n",
    "    \n",
    "    if parameters is 'all':\n",
    "        parameters = c[0]['properties'].keys()\n",
    "        \n",
    "    if type(parameters) is not list:\n",
    "    \n",
    "        parameters = list(parameters)\n",
    "\n",
    "\n",
    "    shp_params = {}\n",
    "\n",
    "    for param in parameters:\n",
    "        shp_params[param] = [line['properties'][param] for line in c]\n",
    "\n",
    "    c = None\n",
    "\n",
    "    return shp, shp_params\n",
    "\n",
    "def create_shapefile_from_shapely_multi(features, filename,\n",
    "                                        fields = {}, field_type = {},\n",
    "                                        buffer_width = 0, spatial_ref = 32645):\n",
    "    '''\n",
    "    Creates a shapefile from a\n",
    "    Shapely MultiPolygon, MultiLineString, or MultiPoint\n",
    "    '''\n",
    "\n",
    "\n",
    "    driver = ogr.GetDriverByName('Esri Shapefile')\n",
    "    ds = driver.CreateDataSource(filename)\n",
    "\n",
    "    srs = osr.SpatialReference()\n",
    "    srs.ImportFromEPSG(spatial_ref)\n",
    "\n",
    "    layer = ds.CreateLayer('', srs, ogr.wkbPolygon)\n",
    "\n",
    "    for f in fields.keys():\n",
    "        fieldDefn = ogr.FieldDefn(f, field_type[f])\n",
    "        layer.CreateField(fieldDefn)\n",
    "\n",
    "    defn = layer.GetLayerDefn()\n",
    "\n",
    "\n",
    "    for i in range(len(features)):\n",
    "\n",
    "        poly = features[i].buffer(buffer_width)\n",
    "\n",
    "        # Create a new feature (attribute and geometry)\n",
    "        feat = ogr.Feature(defn)\n",
    "\n",
    "        for f in fields.keys():\n",
    "            feat.SetField(f, fields[f][i])\n",
    "\n",
    "        # Make a geometry from Shapely object\n",
    "        geom = ogr.CreateGeometryFromWkb(poly.wkb)\n",
    "        feat.SetGeometry(geom)\n",
    "\n",
    "        layer.CreateFeature(feat)\n",
    "        feat = geom = None  # destroy these\n",
    "\n",
    "\n",
    "    # Save and close everything\n",
    "    ds = layer = feat = geom = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "properties_shapefile_filepath = '_output/islands_properties.shp'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "islands, parameters = load_shapefile(properties_shapefile_filepath, parameters='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "parameters = pickle.load( open( '_metrics/metrics__all_metrics.p', \"rb\" ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Area': array([ 2896483.5 ,  3267681.75, 27244489.5 , ...,  6424085.25,\n",
       "        16531724.25, 12738516.75]),\n",
       " 'AspectR': array([1.92563291, 2.47188264, 4.50631493, ..., 2.41294695, 1.30232558,\n",
       "        1.35248162]),\n",
       " 'Avg_Width': array([ 579.44789525,  376.31201313,  440.63793136, ..., 3030.07277925,\n",
       "        2802.1040301 , 1459.16309639]),\n",
       " 'CH_Area': array([ 3255091.875,  4160344.5  , 30662843.625, ...,  7604690.625,\n",
       "        19765291.5  , 16885459.125]),\n",
       " 'CH_Perim': array([ 7584.09380435,  9241.54133787, 29881.05207526, ...,\n",
       "        11638.5308939 , 17293.47905003, 16160.51779137]),\n",
       " 'Circular': array([0.406551  , 0.29782796, 0.26976077, ..., 0.35381782, 0.16960614,\n",
       "        0.29890071]),\n",
       " 'Concavity': array([ 358608.375,  892662.75 , 3418354.125, ..., 1180605.375,\n",
       "        3233567.25 , 4146942.375]),\n",
       " 'Convexity': array([0.80153179, 0.78705002, 0.83876637, ..., 0.7705085 , 0.49412764,\n",
       "        0.69831984]),\n",
       " 'DryShapeF': array([5.55964952, 6.49564377, 6.82520241, ..., 5.95957215, 8.6076411 ,\n",
       "        6.48397689]),\n",
       " 'EdgeDist': array([ 674.16615163,  657.95136598, 1321.36293273, ...,  807.77472107,\n",
       "        1291.394595  , 1410.        ]),\n",
       " 'FractalD': array([1.00144947, 0.9906863 , 1.15345388, ..., 1.06814206, 1.16841342,\n",
       "        1.05574174]),\n",
       " 'Max_Width': array([ 2036.902832,  2036.902832,  1119.872314, ..., 11418.367188,\n",
       "         8620.578125,  6182.33252 ]),\n",
       " 'Min_Width': array([180.249832, 127.455879,  57.      , ...,  57.      ,  57.      ,\n",
       "         57.      ]),\n",
       " 'NumOutflow': array([0, 0, 0, ..., 0, 2, 1]),\n",
       " 'Perimeter': array([ 9462., 11742., 35625., ..., 15105., 34998., 23142.]),\n",
       " 'Solidity': array([0.88983157, 0.78543538, 0.88851803, ..., 0.844753  , 0.83640174,\n",
       "        0.75440748]),\n",
       " 'WetPerim': array([ 9462.        , 11742.        , 35625.        , ...,\n",
       "        15105.        , 52037.3562672 , 27940.47467249]),\n",
       " 'WetShapeF': array([ 5.55964952,  6.49564377,  6.82520241, ...,  5.95957215,\n",
       "        12.79841381,  7.82842416])}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "normalized_parameters = pd.DataFrame()\n",
    "\n",
    "parameters['NumOut_A'] = parameters['NumOutflow'] / parameters['Area']\n",
    "\n",
    "for k in parameters.keys():\n",
    "    \n",
    "    params = np.array(parameters[k])\n",
    "    \n",
    "    if params.min() == 0:\n",
    "        vals = np.log10(params + 0.1)\n",
    "        vals[vals == -1] = 0\n",
    "    \n",
    "    else:\n",
    "        vals = np.log10(params / params.min())\n",
    "    \n",
    "    normalized_parameters[k.encode('utf-8')] = vals\n",
    "\n",
    "cols = ['Area',#'CH_Area','EdgeDist',\n",
    "         #'Perimeter','WetPerim','CH_Perim',\n",
    "         'AspectR',#'MajorAxis','MinorAxis',\n",
    "         'DryShapeF',#'WetShapeF',\n",
    "        'FractalD',\n",
    "         'Min_Width','Max_Width','Avg_Width',\n",
    "        'NumOut_A',#'NumOutflow',\n",
    "        # 'Concavity',\n",
    "        'Circular','Solidity','Convexity',]\n",
    "    #                                  'P_Eq_Diam','Eq_A_Diam']\n",
    "    \n",
    "    \n",
    "normalized_parameters = normalized_parameters[cols]\n",
    "    \n",
    "scaled_data = MinMaxScaler().fit_transform(normalized_parameters.values)\n",
    "scaled_parameters = pd.DataFrame(data = scaled_data, columns = normalized_parameters.columns)\n",
    "\n",
    "pickle.dump(scaled_parameters,\n",
    "            open( '_metrics/metrics__scaled_parameters' + '.p', \"wb\" ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "field_type = {}\n",
    "\n",
    "for k in scaled_parameters.keys():\n",
    "    field_type[k] = ogr.OFTReal\n",
    "       \n",
    "\n",
    "create_shapefile_from_shapely_multi(islands,\n",
    "                                    '_output/islands_properties_scaled.shp',\n",
    "                                    fields = scaled_parameters,\n",
    "                                    field_type = field_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Modified from http://www.ritchieng.com/machine-learning-project-customer-segments/\n",
    "def pca_results_funct(good_data, pca, plot = False):\n",
    "    '''\n",
    "    Create a DataFrame of the PCA results\n",
    "    Includes dimension feature weights and explained variance\n",
    "    Visualizes the PCA results\n",
    "    '''\n",
    "\n",
    "    # Dimension indexing\n",
    "    dimensions = dimensions = ['Dimension {}'.format(i) for i in range(1,len(pca.components_)+1)]\n",
    "\n",
    "    # PCA components\n",
    "    components = pd.DataFrame(np.round(pca.components_, 4), columns = good_data.keys())\n",
    "    components.index = dimensions\n",
    "\n",
    "    # PCA explained variance\n",
    "    ratios = pca.explained_variance_ratio_.reshape(len(pca.components_), 1)\n",
    "    variance_ratios = pd.DataFrame(np.round(ratios, 4), columns = ['Explained Variance'])\n",
    "    variance_ratios.index = dimensions\n",
    "\n",
    "    if plot:\n",
    "        \n",
    "        # Create a bar plot visualization\n",
    "        fig, ax = plt.subplots(figsize = (14,8))\n",
    "\n",
    "        # Plot the feature weights as a function of the components\n",
    "        components.plot(ax = ax, kind = 'bar');\n",
    "        ax.set_ylabel(\"Feature Weights\")\n",
    "        ax.set_xticklabels(dimensions, rotation=0)\n",
    "\n",
    "\n",
    "        # Display the explained variance ratios\n",
    "        for i, ev in enumerate(pca.explained_variance_ratio_):\n",
    "            ax.text(i-0.40, ax.get_ylim()[1] + 0.05, \"Explained Variance\\n          %.4f\"%(ev))\n",
    "\n",
    "    # Return a concatenated DataFrame\n",
    "    return pd.concat([variance_ratios, components], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict_geosom(data):\n",
    "    \n",
    "    for k in c_data.Y.keys():\n",
    "        c_data.Y[k] = [k] + list(data[k,:])\n",
    "\n",
    "    c_data.cluster(\"geoSom\", params, alphaType='linear', nRows=nRows, nCols=nCols, wType=\"queen\", iters = 1000, fileName = '_PCA/' + str(nRows) + 'x' + str(nCols) + '.shp')\n",
    "    c_data.exportArcData(clusterpy_output_dir + '/classes_' + directory)\n",
    "    c_data.exportOutputs(clusterpy_output_dir + '/output_' + directory + \".csv\")\n",
    "\n",
    "    c_data.outputCluster = {'r2a': [], 'r2aRoot': []}\n",
    "    \n",
    "    \n",
    "    return np.array(c_data.region2areas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained variance: 94.66299485525329 %\n",
      "Loading _output/pca_dimensions_0.dbf\n",
      "Loading _output/pca_dimensions_0.shp\n",
      "Done\n",
      "20x20_0\n",
      "The parameters dissolve and dataOperations is not available for the this algorithm\n",
      "Geo-Som\n",
      "---Generating geo SOM topology---\n",
      "Creating grid\n",
      "Done\n",
      "Processing geometric areas\n",
      "Done\n",
      "Processing geometric areas\n",
      "Done\n",
      "Getting variables\n",
      "Variables successfully extracted\n",
      "Generating Uniform\n",
      "Done [Uniform]\n",
      "Getting variables\n",
      "Variables successfully extracted\n",
      "FINAL SOLUTION:  [1, 1, 1, 2, 3, 1, 1, 1, 7, 7, 4, 3, 8, 4, 2, 2, 1, 1, 0, 1, 3, 4, 7, 3, 3, 3, 27, 4, 3, 9, 8, 8, 12, 9, 9, 4, 4, 3, 7, 8, 8, 8, 7, 8, 4, 8, 8, 8, 3, 7, 4, 8, 14, 7, 3, 15, 15, 4, 9, 9, 8, 5, 5, 5, 11, 15, 9, 19, 9, 11, 10, 9, 15, 10, 6, 6, 11, 11, 10, 5, 15, 10, 10, 13, 13, 27, 16, 10, 10, 10, 28, 18, 10, 20, 17, 17, 17, 22, 17, 17, 16, 20, 10, 16, 21, 21, 19, 22, 17, 22, 22, 20, 16, 20, 22, 22, 22, 16, 22, 22, 20, 17, 16, 21, 22, 17, 16, 23, 22, 29, 16, 29, 22, 22, 16, 22, 16, 16, 36, 49, 40, 18, 31, 31, 29, 51, 29, 35, 38, 64, 30, 24, 32, 32, 31, 32, 26, 26, 24, 39, 37, 24, 25, 25, 35, 31, 31, 32, 29, 18, 35, 38, 61, 50, 33, 43, 32, 48, 52, 33, 52, 33, 41, 48, 45, 46, 46, 45, 46, 34, 43, 44, 53, 45, 40, 65, 44, 45, 79, 53, 47, 44, 58, 65, 43, 58, 48, 48, 58, 59, 54, 60, 62, 54, 59, 80, 46, 48, 46, 46, 64, 42, 79, 56, 81, 81, 55, 81, 66, 78, 48, 48, 58, 82, 48, 63, 48, 57, 57, 57, 57, 57, 81, 57, 70, 57, 57, 57, 69, 57, 98, 69, 76, 82, 67, 66, 92, 66, 58, 92, 68, 69, 90, 68, 69, 59, 69, 69, 84, 81, 69, 73, 69, 69, 69, 71, 66, 84, 91, 59, 66, 77, 76, 90, 74, 59, 72, 72, 84, 66, 91, 92, 108, 85, 108, 75, 92, 72, 92, 85, 83, 88, 91, 107, 107, 85, 102, 85, 82, 107, 82, 103, 97, 92, 100, 82, 107, 106, 87, 107, 97, 85, 99, 107, 88, 92, 90, 106, 82, 92, 107, 92, 82, 108, 92, 106, 97, 86, 103, 107, 83, 93, 107, 82, 92, 89, 85, 83, 93, 108, 93, 107, 107, 93, 94, 109, 92, 107, 107, 117, 109, 104, 107, 89, 92, 86, 94, 109, 92, 89, 89, 116, 92, 92, 94, 108, 111, 108, 107, 117, 95, 109, 108, 124, 123, 109, 88, 105, 88, 91, 108, 108, 94, 96, 108, 100, 117, 94, 105, 107, 93, 93, 107, 93, 88, 108, 92, 100, 116, 88, 122, 88, 122, 105, 136, 136, 110, 92, 105, 109, 95, 108, 85, 136, 94, 107, 137, 138, 123, 120, 138, 154, 124, 123, 109, 121, 138, 138, 138, 107, 123, 123, 138, 103, 116, 124, 122, 108, 123, 139, 115, 129, 117, 116, 117, 139, 105, 123, 123, 115, 116, 101, 123, 138, 122, 122, 124, 131, 102, 101, 123, 137, 123, 122, 138, 138, 132, 122, 139, 132, 118, 103, 132, 123, 116, 123, 132, 117, 139, 105, 105, 100, 114, 119, 105, 119, 117, 138, 121, 138, 123, 122, 117, 123, 140, 125, 117, 133, 125, 130, 124, 138, 124, 134, 130, 102, 113, 115, 137, 152, 151, 109, 153, 128, 130, 141, 152, 118, 148, 121, 137, 153, 130, 114, 130, 130, 153, 130, 130, 123, 130, 113, 131, 137, 130, 130, 131, 117, 114, 130, 131, 116, 113, 122, 116, 118, 153, 130, 130, 137, 116, 131, 116, 135, 131, 130, 155, 115, 146, 113, 135, 145, 123, 130, 130, 118, 131, 152, 125, 128, 113, 140, 134, 114, 137, 116, 112, 152, 146, 133, 133, 115, 130, 124, 115, 130, 115, 115, 115, 133, 157, 130, 124, 130, 113, 134, 131, 128, 130, 123, 133, 130, 130, 153, 123, 123, 115, 137, 149, 127, 153, 125, 116, 155, 148, 125, 123, 128, 153, 122, 148, 145, 116, 114, 115, 160, 131, 130, 123, 132, 131, 130, 151, 159, 155, 161, 153, 130, 130, 116, 113, 113, 112, 116, 126, 111, 115, 162, 148, 130, 123, 126, 168, 122, 161, 161, 141, 153, 128, 128, 127, 158, 159, 146, 149, 149, 149, 165, 127, 132, 149, 137, 153, 170, 139, 166, 161, 140, 160, 152, 149, 159, 150, 139, 148, 130, 152, 152, 154, 178, 145, 168, 146, 151, 141, 147, 139, 139, 146, 156, 162, 162, 162, 163, 166, 145, 162, 156, 162, 142, 148, 146, 130, 148, 151, 154, 156, 147, 142, 142, 146, 171, 160, 130, 163, 145, 153, 171, 139, 162, 146, 148, 159, 130, 127, 147, 141, 139, 145, 179, 166, 177, 170, 127, 170, 145, 187, 145, 167, 167, 158, 162, 158, 158, 151, 149, 145, 137, 163, 164, 146, 164, 159, 163, 152, 172, 146, 164, 149, 166, 145, 146, 159, 145, 159, 164, 143, 145, 177, 159, 175, 175, 175, 151, 167, 163, 164, 166, 166, 165, 172, 147, 166, 163, 148, 164, 166, 163, 170, 166, 159, 187, 146, 163, 166, 163, 172, 172, 164, 166, 187, 166, 186, 166, 187, 172, 164, 175, 177, 170, 175, 186, 186, 186, 147, 144, 177, 178, 178, 187, 152, 145, 147, 163, 163, 181, 186, 186, 170, 179, 163, 178, 176, 179, 176, 186, 149, 178, 163, 166, 178, 198, 195, 196, 167, 187, 181, 196, 169, 178, 198, 175, 178, 203, 199, 195, 164, 178, 186, 195, 184, 193, 198, 178, 175, 195, 160, 198, 185, 168, 183, 169, 203, 196, 198, 186, 164, 198, 163, 169, 181, 188, 198, 163, 161, 201, 182, 169, 179, 161, 174, 177, 175, 169, 179, 198, 197, 159, 168, 183, 186, 177, 174, 186, 174, 176, 178, 204, 164, 197, 161, 186, 199, 203, 181, 198, 198, 168, 175, 195, 203, 175, 179, 161, 178, 216, 183, 187, 203, 205, 219, 186, 167, 186, 164, 196, 186, 159, 195, 215, 215, 186, 179, 160, 186, 195, 163, 177, 186, 186, 204, 204, 175, 159, 186, 195, 183, 178, 186, 200, 159, 194, 175, 202, 186, 201, 178, 198, 196, 195, 181, 179, 195, 195, 195, 205, 183, 204, 203, 215, 193, 183, 183, 180, 198, 175, 195, 205, 211, 203, 196, 203, 203, 196, 204, 202, 198, 173, 193, 193, 195, 204, 211, 178, 184, 201, 208, 194, 180, 204, 196, 210, 196, 195, 199, 180, 180, 195, 194, 195, 198, 195, 180, 198, 194, 215, 199, 219, 186, 181, 217, 204, 205, 193, 198, 195, 215, 196, 196, 198, 204, 217, 195, 199, 198, 180, 193, 194, 193, 212, 212, 215, 209, 195, 177, 217, 197, 194, 181, 193, 189, 177, 178, 217, 195, 194, 208, 215, 199, 174, 198, 217, 195, 181, 180, 193, 208, 218, 174, 215, 210, 227, 210, 202, 223, 216, 213, 198, 198, 177, 192, 193, 217, 178, 189, 220, 198, 217, 215, 177, 216, 195, 211, 217, 225, 211, 228, 198, 213, 210, 223, 195, 212, 210, 221, 211, 192, 218, 215, 218, 222, 214, 211, 225, 195, 214, 229, 192, 228, 211, 212, 195, 193, 210, 213, 211, 226, 222, 213, 214, 225, 215, 222, 212, 222, 228, 199, 209, 206, 195, 221, 211, 211, 195, 193, 223, 222, 192, 190, 229, 222, 213, 195, 191, 211, 221, 228, 191, 206, 191, 212, 225, 191, 195, 220, 211, 193, 227, 206, 199, 209, 229, 226, 210, 227, 191, 221, 211, 212, 220, 222, 210, 225, 213, 225, 207, 221, 213, 226, 222, 209, 223, 211, 224, 226, 210, 226, 210, 222, 226, 225, 223, 210, 224, 223, 223, 225, 222, 222]\n",
      "FINAL O.F.:  0\n",
      "Done\n",
      "Writing ESRI files\n",
      "Writing DBF file\n",
      "Done\n",
      "ESRI files created\n",
      "Adding variables\n",
      "Done\n",
      "Writing ESRI files\n",
      "Writing DBF file\n",
      "Done\n",
      "ESRI files created\n",
      "Writing outputs to the CSV\n",
      "Outputs successfully exported\n"
     ]
    }
   ],
   "source": [
    "for iteration in [0]:#range(0,10):\n",
    "    \n",
    "    noise = 0\n",
    "\n",
    "    if iteration > 0:\n",
    "        noise = np.sign(np.random.random_sample(size = scaled_parameters.shape) - 0.5) * np.random.rand(scaled_parameters.shape[0], scaled_parameters.shape[1]) / 100.\n",
    "\n",
    "\n",
    "    # PCA\n",
    "\n",
    "    '''Principal component analysis (PCA) is a statistical procedure\n",
    "    that uses an orthogonal transformation to convert a set of\n",
    "    observations of possibly correlated variables into a set of\n",
    "    values of linearly uncorrelated variables called principal components\n",
    "    '''\n",
    "\n",
    "    pca = PCA(n_components=5)\n",
    "    pca.fit(scaled_parameters + noise)\n",
    "\n",
    "    # TODO: Transform the good data using the PCA fit above\n",
    "    reduced_data = pca.transform(scaled_parameters + noise)\n",
    "\n",
    "\n",
    "    # Create a DataFrame for the reduced data\n",
    "    reduced_data = pd.DataFrame(reduced_data)\n",
    "    reduced_data.columns = ['PCA' + str(k) for k in reduced_data.columns.values if type(k) <> 'str']\n",
    "\n",
    "    pd.to_pickle(reduced_data, '_PCA/pca__reduced_data.p')\n",
    "\n",
    "    pca_results = pca_results_funct(scaled_parameters + noise, pca)\n",
    "    explained_variance = pca.explained_variance_ratio_\n",
    "    print 'Explained variance:', sum(explained_variance)*100, '%'\n",
    "\n",
    "    # pd.to_pickle(explained_variance,'_PCA/pca__explained_variance.p')\n",
    "\n",
    "    field_type = {}\n",
    "\n",
    "    for k in reduced_data.keys():\n",
    "        field_type[k] = ogr.OFTReal\n",
    "\n",
    "    pca_filename = '_output/pca_dimensions_' + str(iteration) + '.shp'\n",
    "\n",
    "    create_shapefile_from_shapely_multi(islands,\n",
    "                                        pca_filename,\n",
    "                                        fields = reduced_data,\n",
    "                                        field_type = field_type)\n",
    "\n",
    "\n",
    "    clusterpy_output_dir = '_clusterpy'\n",
    "    c_data = clusterpy.importArcData(pca_filename[:-4])\n",
    "    params = reduced_data.columns.tolist()\n",
    "\n",
    "    for n in [20]:#range(6,9):\n",
    "\n",
    "        for m in [20]:#range(6,9):\n",
    "\n",
    "            directory = str(n) + 'x' + str(m) + '_' + str(iteration)\n",
    "            print directory\n",
    "\n",
    "            nRows = n\n",
    "            nCols = m\n",
    "            regions = predict_geosom(reduced_data.values)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1001,
   "metadata": {},
   "outputs": [],
   "source": [
    "clustered_data = pd.DataFrame(columns=reduced_data.columns)\n",
    "\n",
    "geosom_regions = pd.DataFrame()\n",
    "\n",
    "for n in range(6,9):\n",
    "    \n",
    "    for m in range(6,9):\n",
    "        \n",
    "        for iteration in range(0,10):\n",
    "    \n",
    "            directory = str(n) + 'x' + str(m) + '_' + str(iteration)\n",
    "\n",
    "            files_col = '_clusterpy/output_' + directory + '.csv'\n",
    "\n",
    "            lines = open(files_col, \"r\").read().split(';')\n",
    "            regions = [int(i) for i in lines[18][1:-1].split(',')]\n",
    "\n",
    "            geosom_regions[directory] = regions\n",
    "\n",
    "\n",
    "            for i in np.unique(regions):\n",
    "                clustered_data.loc[directory +'-' + str(i)] = reduced_data.loc[regions == i].mean().values\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1002,
   "metadata": {},
   "outputs": [],
   "source": [
    "field_type = {}\n",
    "\n",
    "for k in geosom_regions.columns:\n",
    "    field_type[k] = ogr.OFTInteger\n",
    "       \n",
    "\n",
    "create_shapefile_from_shapely_multi(islands,\n",
    "                                    '_output/geosom_clusters.shp',\n",
    "                                    fields = geosom_regions,\n",
    "                                    field_type = field_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1003,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a correlation matrix\n",
    "b = geosom_regions.values\n",
    "h,w = b.shape\n",
    "\n",
    "eye = np.eye(w, dtype=bool)\n",
    "corr = np.ones((h, h)) * w\n",
    "\n",
    "for i, j in itertools.permutations(range(h), r = 2):\n",
    "\n",
    "    mask = b[i][:,None] == b[j]\n",
    "    out = mask[eye]\n",
    "\n",
    "    corr[i,j] = out.sum()\n",
    "\n",
    "corr_ = corr / float(w)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 641,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8_0.1\n"
     ]
    }
   ],
   "source": [
    "# final_classes_df = pd.DataFrame()\n",
    "\n",
    "# for correlation_threshold in np.arange(0.7, 0.95, 0.05):\n",
    "    \n",
    "#     for radius_threshold in [0.1]:#np.arange(0.02,0.15,0.02):\n",
    "        \n",
    "#         print str(correlation_threshold) + '_' + str(radius_threshold)\n",
    "\n",
    "\n",
    "\n",
    "#         # identify and group islands that are clustered together incorrelation_threshold percent of cases\n",
    "\n",
    "#         correlated_classes = np.zeros((len(islands),), dtype='int')\n",
    "#         c = corr_ >= correlation_threshold\n",
    "\n",
    "#         isolated_islands = np.where(np.sum(c, axis = 1) == 1)[0]\n",
    "#         correlated_classes[isolated_islands] = -1 * np.arange(1,len(isolated_islands) + 1)\n",
    "\n",
    "#         grouped_islands = np.where(np.sum(c, axis = 1) > 1)[0]\n",
    "#         new_class_number = 1\n",
    "\n",
    "#         for i in grouped_islands:\n",
    "\n",
    "#             loc = np.where(c[:,i])[0]\n",
    "#             new_class = new_class_number\n",
    "\n",
    "#             if correlated_classes[loc].max() > 0:\n",
    "#                 new_class = correlated_classes[loc].max()\n",
    "\n",
    "#             else:\n",
    "#                 new_class_number += 1\n",
    "\n",
    "#             for j in loc:\n",
    "#                 correlated_classes[j] = new_class\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#         # use a radius-based nearest-neighbor classifier to cluster island classes together\n",
    "#         # using both the average value of PCA for each class and their mean spatial position\n",
    "\n",
    "#         param_centroids = pd.DataFrame(columns = reduced_data.columns)\n",
    "#         geo_centroids = pd.DataFrame(columns = ['x','y'])\n",
    "\n",
    "#         unique_class_numbers = np.unique(correlated_classes)\n",
    "\n",
    "#         for i in unique_class_numbers:\n",
    "\n",
    "#             loc = np.where(correlated_classes == i)[0]\n",
    "#             param_centroids.loc[str(correlation_threshold) + '__' + str(i),:] = reduced_data.loc[loc].mean()\n",
    "\n",
    "#             coords = np.zeros((len(loc),2))\n",
    "\n",
    "#             for n,l in enumerate(loc):\n",
    "#                 coords[n,:] = islands[l].centroid.coords[0]\n",
    "\n",
    "#             geo_centroids.loc[str(correlation_threshold) + '__' + str(i),:] = coords.mean(axis=0)\n",
    "\n",
    "#         # normalize the geographic centroids so they go 0-1\n",
    "#         minx, miny, maxx, maxy = islands.envelope.bounds\n",
    "#         geo_centroids['x1'] = (geo_centroids['x'] - minx) / (maxx - minx)\n",
    "#         geo_centroids['y1'] = (geo_centroids['y'] - miny) / (maxy - miny)\n",
    "\n",
    "#         # stack the parameter centroids and geographic centroids for all classes\n",
    "#         vals = np.hstack([param_centroids.values, geo_centroids[['x1','y1']].values])\n",
    "\n",
    "#         # use a nearest-neighbor lookup algorithm to calculate distance between clusters\n",
    "#         tree = KDTree(vals, leaf_size = 10)\n",
    "\n",
    "#         # do a first classification to get the maximum distance between clusters\n",
    "#         dist, ind_tree = tree.query(vals, k = vals.shape[0])  \n",
    "\n",
    "#         # find island classes that are within a given radius\n",
    "#         classes_within_radius = tree.query_radius(vals, r = radius_threshold * dist.max())\n",
    "\n",
    "\n",
    "\n",
    "#         # This combines clusters of classes (and the islands that form them)\n",
    "#         # into common classes using the radius-based nearest-neighbor groupings\n",
    "\n",
    "#         # sorting gymnastics to simplify re-numbering process\n",
    "#         combined_clusters = [list(np.sort(i)) for i in classes_within_radius if len(i) > 1]\n",
    "#         combined_clusters__first_val = [i[0] for i in combined_clusters]\n",
    "#         combined_clusters__sorted = [combined_clusters[i] for i in np.argsort(combined_clusters__first_val)]\n",
    "#         classes_combined = [[unique_class_numbers[i] for i in j] for j in combined_clusters__sorted]\n",
    "#         non_combined_classes = [unique_class_numbers[i[0]] for i in classes_within_radius if len(i) == 1]\n",
    "\n",
    "\n",
    "\n",
    "#         # re-number classes\n",
    "#         renumbered_classes = np.zeros((len(islands),), dtype='int')\n",
    "\n",
    "#         # renumber the classes that are now clustered with other classes\n",
    "\n",
    "#         new_class_number = 1\n",
    "\n",
    "#         for i in classes_combined:\n",
    "\n",
    "#             new_class = new_class_number\n",
    "\n",
    "#             # if any island in the cluster has already been renumbered\n",
    "#             # then use that class number as the new class number\n",
    "#             if renumbered_classes[correlated_classes == i[0]].max() > 0:\n",
    "#                 new_class = renumbered_classes[correlated_classes == i[0]].max()\n",
    "#             else:\n",
    "#                 new_class_number += 1\n",
    "\n",
    "#             for j in i:\n",
    "#                 renumbered_classes[correlated_classes == j] = new_class\n",
    "\n",
    "\n",
    "#         # renumber the classes that were not clustered with other classes\n",
    "\n",
    "#         neg_class_number = -1\n",
    "\n",
    "#         for i in non_combined_classes:\n",
    "\n",
    "#             loc = correlated_classes == i\n",
    "\n",
    "#             # if class has more than one island, use a positive number\n",
    "#             if sum(loc) > 1:\n",
    "#                 renumbered_classes[loc] = new_class_number\n",
    "#                 new_class_number += 1\n",
    "\n",
    "#             # if it has only one island,  use a negative number\n",
    "#             else: \n",
    "#                 renumbered_classes[loc] = neg_class_number\n",
    "# #                 neg_class_number -= 1\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#         # This re-numbers classes again, sorting by size.\n",
    "#         # Classes given negative class numbers (with only one island)\n",
    "#         # are sorted but keep negative class numbers\n",
    "\n",
    "#         unique_renumbered_classes = np.unique(renumbered_classes)\n",
    "#         total_area_per_class = []\n",
    "\n",
    "#         for i in range(len(unique_renumbered_classes)):\n",
    "#             ind = np.where(renumbered_classes == unique_renumbered_classes[i])[0]\n",
    "#             areas = [islands[j].area for j in ind]\n",
    "#             total_area_per_class.append(sum(areas))\n",
    "\n",
    "#         sorted_by_area = np.argsort(total_area_per_class)[::-1]\n",
    "\n",
    "\n",
    "#         final_classes = np.zeros_like(renumbered_classes)\n",
    "\n",
    "#         positive_numbers = 1\n",
    "#         negative_numbers = -1\n",
    "\n",
    "#         for i in sorted_by_area:\n",
    "\n",
    "#             # if it's a class with more than one island (positive class number)\n",
    "#             if unique_renumbered_classes[i] > 0:\n",
    "#                 new_class_num = positive_numbers\n",
    "#                 positive_numbers += 1\n",
    "\n",
    "#             # if it's a class with only one island (negative class number)\n",
    "#             else:\n",
    "#                 new_class_num = negative_numbers\n",
    "# #                 negative_numbers -= 1\n",
    "\n",
    "#             final_classes[renumbered_classes == unique_renumbered_classes[i]] = new_class_num\n",
    "\n",
    "#         final_classes_df[str(correlation_threshold) + '_' + str(radius_threshold)] = final_classes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "metadata": {},
   "outputs": [],
   "source": [
    "# field_type = {}\n",
    "\n",
    "# for k in final_classes_df.columns:\n",
    "#     field_type[k] = ogr.OFTInteger\n",
    "\n",
    "# create_shapefile_from_shapely_multi(islands,\n",
    "#                                     '_output/final_classes.shp',\n",
    "#                                     fields = final_classes_df,\n",
    "#                                     field_type = field_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "# corr = pd.DataFrame(data = corr_, columns=[str(i) for i in range(len(islands))])\n",
    "\n",
    "# field_type = {}\n",
    "# for k in corr.keys():\n",
    "#     field_type[k] = ogr.OFTReal\n",
    "\n",
    "# create_shapefile_from_shapely_multi(islands,\n",
    "#                                     '_output/corr_per_island.shp',\n",
    "#                                     fields = corr,\n",
    "#                                     field_type = field_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 671,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.mixture import GaussianMixture as GMM\n",
    "import matplotlib.colors as colors\n",
    "import matplotlib.cm as cmx\n",
    "from matplotlib.path import Path\n",
    "from matplotlib.patches import PathPatch\n",
    "\n",
    "def predict(X):\n",
    "    \n",
    "    gmm = GMM(n_components = K, max_iter = 100, n_init = 3, random_state=0).fit(X)\n",
    "    labels = gmm.predict(X)\n",
    "\n",
    "    return labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 784,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25\n",
      "0.313140196851 132.656355845\n",
      "26\n",
      "0.304012862788 128.136593614\n",
      "27\n",
      "0.322287897933 133.471714581\n",
      "28\n",
      "0.31311166241 130.872769924\n",
      "29\n",
      "0.327146456353 133.194689979\n",
      "30\n",
      "0.318293971023 129.259544645\n",
      "31\n",
      "0.327888786092 130.839823037\n",
      "32\n",
      "0.325103353236 130.501348602\n",
      "33\n",
      "0.334173304657 132.712703035\n",
      "34\n",
      "0.33497214842 132.298799517\n",
      "35\n",
      "0.334059660067 133.076046711\n",
      "36\n",
      "0.328898235485 128.263752657\n",
      "37\n",
      "0.331681843312 130.974602872\n",
      "38\n",
      "0.334144651751 130.393314526\n",
      "39\n",
      "0.336386449084 130.846622826\n",
      "40\n",
      "0.332194314201 126.704624576\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import pairwise_distances\n",
    "from sklearn import metrics\n",
    "\n",
    "all_vals = {}\n",
    "labels_df = pd.DataFrame()\n",
    "\n",
    "for K in range(25,41):\n",
    "    \n",
    "    print(str(K))\n",
    "\n",
    "    vals = {}\n",
    "\n",
    "    gmm = GMM(n_components = K, max_iter = 100, n_init = 3, random_state=0).fit(corr_)\n",
    "    labels = gmm.predict(corr_)\n",
    "    vals['Silhouette'] = metrics.silhouette_score(corr_, labels, metric='euclidean')\n",
    "    vals['Calinski'] = metrics.calinski_harabaz_score(corr_, labels)\n",
    "\n",
    "    print(vals['Silhouette'], vals['Calinski'])\n",
    "\n",
    "    labels_df[str(K)] = labels\n",
    "    vals['means'] = gmm.means_\n",
    "    vals['covars'] = gmm.covariances_\n",
    "    vals['converged'] = gmm.converged_\n",
    "\n",
    "    all_vals[str(K)] = vals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1004,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_classes_df = pd.DataFrame()\n",
    "\n",
    "for l in labels_df.columns:\n",
    "\n",
    "    unique_classes = np.unique(labels_df[l])\n",
    "    total_area_per_class = []\n",
    "\n",
    "    for i in range(len(unique_classes)):\n",
    "        ind = np.where(labels_df[l] == unique_classes[i])[0]\n",
    "        areas = [islands[j].area for j in ind]\n",
    "        total_area_per_class.append(sum(areas))\n",
    "\n",
    "    sorted_by_area = np.argsort(total_area_per_class)[::-1]\n",
    "\n",
    "\n",
    "    final_classes = np.zeros_like(labels_df[l])\n",
    "\n",
    "    positive_numbers = 1\n",
    "\n",
    "    for i in sorted_by_area:\n",
    "\n",
    "        final_classes[labels_df[l] == unique_classes[i]] = positive_numbers\n",
    "        positive_numbers += 1\n",
    "\n",
    "    final_classes_df[str(l)] = final_classes\n",
    "\n",
    "    \n",
    "    \n",
    "pickle.dump(final_classes_df,\n",
    "            open( '_clusterpy/final_classes' + '.p', \"wb\" ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1005,
   "metadata": {},
   "outputs": [],
   "source": [
    "field_type = {}\n",
    "\n",
    "for k in final_classes_df.columns:\n",
    "    field_type[str(k)] = ogr.OFTInteger\n",
    "    \n",
    "fields = {}\n",
    "\n",
    "for k in final_classes_df.columns:\n",
    "    fields[str(k)] = final_classes_df[k]\n",
    "\n",
    "create_shapefile_from_shapely_multi(islands,\n",
    "                                    '_output/final_classes.shp',\n",
    "                                    fields = fields,\n",
    "                                    field_type = field_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1182,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mari/anaconda/lib/python2.7/site-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedPCA is deprecated; RandomizedPCA was deprecated in 0.18 and will be removed in 0.20. Use PCA(svd_solver='randomized') instead. The new implementation DOES NOT store whiten ``components_``. Apply transform to get them.\n",
      "  warnings.warn(msg, category=DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.cluster.vq import kmeans\n",
    "from scipy.spatial.distance import cdist,pdist\n",
    "from sklearn import datasets\n",
    "from sklearn.decomposition import RandomizedPCA\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import cm\n",
    "\n",
    "\n",
    "centroids = mean_val.values\n",
    "D_k = cdist(scaled_parameters, centroids)\n",
    "cIdx = np.argmin(D_k,axis=1)\n",
    "dist = np.min(D_k,axis=1)\n",
    "\n",
    "tot_withinss = sum(d**2)  # Total within-cluster sum of squares\n",
    "totss = sum(pdist(X)**2)/X.shape[0]       # The total sum of squares\n",
    "betweenss = totss - tot_withinss          # The between-cluster sum of squares\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(34, 1239, 1239)"
      ]
     },
     "execution_count": 1212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_vals['34']['covars'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1006,
   "metadata": {},
   "outputs": [],
   "source": [
    "similarity = {}\n",
    "dissimilarity = {}\n",
    "\n",
    "for c in normalized_parameters.columns:\n",
    "\n",
    "    similarity[c] = np.zeros((len(islands), len(islands)))\n",
    "    dissimilarity[c] = np.zeros((len(islands), len(islands)))\n",
    "\n",
    "\n",
    "for i in range(len(islands)):\n",
    "\n",
    "    for c in normalized_parameters.columns:\n",
    "        \n",
    "        v = 1. / (1. + np.abs(normalized_parameters.loc[i,c] - normalized_parameters[c])**2)\n",
    "    \n",
    "        similarity[c][i,:] = v.values\n",
    "        similarity[c][:,i] = v.values\n",
    "        \n",
    "        v = np.abs(normalized_parameters.loc[i,c] - normalized_parameters[c])\n",
    "    \n",
    "        dissimilarity[c][i,:] = v.values\n",
    "        dissimilarity[c][:,i] = v.values\n",
    "\n",
    "for c in normalized_parameters.columns:\n",
    "    dissimilarity[c] = (dissimilarity[c] - dissimilarity[c].min()) / (dissimilarity[c].max() - dissimilarity[c].min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1032,
   "metadata": {},
   "outputs": [],
   "source": [
    "# within-class similarity\n",
    "\n",
    "labels = final_classes_df['34']\n",
    "unique_labels = np.unique(labels)\n",
    "\n",
    "mean_similarities = pd.DataFrame()\n",
    "min_similarities = pd.DataFrame()\n",
    "max_similarities = pd.DataFrame()\n",
    "\n",
    "euclidean_distances = pd.DataFrame()\n",
    "\n",
    "pairwise_euclidean_distances = pairwise_distances(scaled_parameters)\n",
    "\n",
    "for l in unique_labels:\n",
    "    \n",
    "    loc = np.where(labels == l)[0]\n",
    "    \n",
    "    v = [pairwise_euclidean_distances[i,j] for j in loc for i in loc if i != j]\n",
    "    \n",
    "    euclidean_distances.loc[l,'mean'] = np.mean(v)\n",
    "    euclidean_distances.loc[l,'min'] = np.mean(v)\n",
    "    euclidean_distances.loc[l,'max'] = np.mean(v)\n",
    "    \n",
    "    for c in normalized_parameters.columns:\n",
    "        \n",
    "        v = [similarity[c][i,j] for j in loc for i in loc if i != j]\n",
    "        mean_similarities.loc[l,c] = np.mean(v)\n",
    "        min_similarities.loc[l,c] = np.min(v)\n",
    "        max_similarities.loc[l,c] = np.max(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1033,
   "metadata": {},
   "outputs": [],
   "source": [
    "# intra-class dissimilarity\n",
    "\n",
    "labels = final_classes_df['34']\n",
    "unique_labels = np.unique(labels)\n",
    "\n",
    "\n",
    "mean_dissimilarities = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "max_dissimilarities = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "min_dissimilarities = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "\n",
    "\n",
    "mean_dissimilarities_ = {}\n",
    "max_dissimilarities_ = {}\n",
    "min_dissimilarities_ = {}\n",
    "\n",
    "mean_bc_distance = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "min_bc_distance = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "max_bc_distance = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "\n",
    "for c in normalized_parameters.columns:\n",
    "    \n",
    "    mean_dissimilarities = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "    max_dissimilarities = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "    min_dissimilarities = np.zeros((len(unique_labels), len(unique_labels)))\n",
    "\n",
    "\n",
    "\n",
    "    for l in unique_labels:\n",
    "\n",
    "        loc = np.where(labels == l)[0]\n",
    "\n",
    "        for m in unique_labels:\n",
    "\n",
    "            if l != m:\n",
    "\n",
    "                loc2 = np.where(labels == m)[0]\n",
    "\n",
    "                v = [dissimilarity[c][i,j] for j in loc for i in loc2]\n",
    "\n",
    "                mean_dissimilarities[l-1,m-1] = np.mean(v)\n",
    "                min_dissimilarities[l-1,m-1] = np.min(v)\n",
    "                max_dissimilarities[l-1,m-1] = np.max(v)\n",
    "                \n",
    "                v = [pairwise_euclidean_distances[i,j] for j in loc for i in loc2]\n",
    "                \n",
    "                mean_bc_distance[l-1,m-1] = np.mean(v)\n",
    "                min_bc_distance[l-1,m-1] = np.min(v)\n",
    "                max_bc_distance[l-1,m-1] = np.max(v)\n",
    "            \n",
    "    mean_dissimilarities_[c] = pd.DataFrame(data = mean_dissimilarities, columns = unique_labels)\n",
    "    min_dissimilarities_[c] = pd.DataFrame(data = min_dissimilarities, columns = unique_labels)\n",
    "    max_dissimilarities_[c] = pd.DataFrame(data = max_dissimilarities, columns = unique_labels)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1082,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_val = pd.DataFrame()\n",
    "\n",
    "for l in unique_labels:\n",
    "    \n",
    "    loc = np.where(labels == l)[0]\n",
    "    \n",
    "    for c in normalized_parameters.columns:\n",
    "        \n",
    "        mean_val.loc[l,c] = np.mean([scaled_parameters[c][i] for i in loc])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1087,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1a48829e90>"
      ]
     },
     "execution_count": 1087,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWYAAAD8CAYAAABErA6HAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nY4xxGUvMxhjjMpaYjTHGZSwxG2OMy/x/SK5nje+zjiQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(mean_val['Circular'], mean_val['AspectR'], c = unique_labels)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1036,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAD8CAYAAACb4nSYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nw1rStH9ozwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(mean_dissimilarities_['Circular'].loc[17], '.')\n",
    "plt.plot(mean_dissimilarities_['AspectR'].loc[17], '.')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1066,
   "metadata": {},
   "outputs": [],
   "source": [
    "group = np.zeros((len(normalized_parameters.columns), len(mean_dissimilarities)))\n",
    "\n",
    "for n,c in enumerate(normalized_parameters.columns):\n",
    "\n",
    "    group[n,:] = mean_dissimilarities_[c].loc[20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1067,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1a39666750>]"
      ]
     },
     "execution_count": 1067,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD8CAYAAACMwORRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for n,c in enumerate(normalized_parameters.columns):\n",
    "    \n",
    "    plt.plot(group[n,:], 'k.', alpha = 0.1)\n",
    "\n",
    "plt.plot(np.mean(group, axis =0), 'r-')\n",
    "# plt.plot(mean_bc_distance[:,13] / 5., 'b--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1068,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1a3de07110>"
      ]
     },
     "execution_count": 1068,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(mean_bc_distance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1127,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_selection import f_regression, mutual_info_classif, chi2\n",
    "\n",
    "np.random.seed(0)\n",
    "X = normalized_parameters.values\n",
    "y = final_classes_df['34']\n",
    "\n",
    "mi = mutual_info_classif(X, y)\n",
    "mi /= np.max(mi)\n",
    "\n",
    "indices = np.argsort(mi)[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEwCAYAAABMnTEqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\noxry/3aqppWJGqNsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(mi[indices])\n",
    "plt.xticks(range(X.shape[1]), scaled_parameters.columns[indices], rotation = 90)\n",
    "plt.xlim([-1, X.shape[1]])\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48.3454398708636"
      ]
     },
     "execution_count": 1142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(scaled_parameters['Circular'] > 0.8) / float(len(islands)) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1141,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.81818181818\n",
      "0.0\n",
      "0.0\n",
      "0.0\n",
      "0.0\n",
      "0.0\n",
      "20.0\n",
      "25.4545454545\n",
      "14.6341463415\n",
      "8.57142857143\n",
      "0.0\n",
      "0.0\n",
      "38.4615384615\n",
      "30.4347826087\n",
      "68.9655172414\n",
      "60.5263157895\n",
      "58.064516129\n",
      "16.0\n",
      "67.3469387755\n",
      "84.0\n",
      "42.8571428571\n",
      "70.1754385965\n",
      "86.0\n",
      "80.6451612903\n",
      "97.6744186047\n",
      "73.3333333333\n",
      "81.0810810811\n",
      "73.6842105263\n",
      "88.0\n",
      "84.6153846154\n",
      "93.75\n",
      "86.6666666667\n",
      "61.1111111111\n",
      "100.0\n"
     ]
    }
   ],
   "source": [
    "sum(scaled_parameters['Circular'] > 0.8)\n",
    "labels = final_classes_df['34']\n",
    "\n",
    "for l in unique_labels:\n",
    "    \n",
    "    loc = np.where(labels == l)[0]\n",
    "    \n",
    "    print(sum(scaled_parameters.loc[loc,'Circular'] > 0.8) / float(len(loc)) * 100)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAQ5CAYAAAAJJl5kAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYP0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x1368 with 18 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "'''\n",
    "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n",
    "\n",
    "The final classification scheme uses\n",
    "threshold = 0.8\n",
    "distance = 0.3\n",
    "\n",
    "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n",
    "'''\n",
    "\n",
    "cmap = plt.cm.gray\n",
    "norm = mpl.colors.Normalize(vmin=-0.8, vmax=0.1)\n",
    "\n",
    "r = 0.3\n",
    "# cols = [i for i in data.columns if i != 'class']\n",
    "\n",
    "data = scaled_parameters.copy()\n",
    "data['class'] = final_classes_df['34']\n",
    "ioi_classes =  range(1,21)\n",
    "cols = scaled_parameters.columns\n",
    "cols_clean = cols\n",
    "# islands_of_interest = [252, 624, 694, 808, 1027, 1005, 1000, 1053, 210, 193]\n",
    "\n",
    "# ioi_classes_all = [data.loc[i,'class'] for i in islands_of_interest]\n",
    "# ioi_classes = np.unique(ioi_classes_all)\n",
    "\n",
    "\n",
    "# ioi_classes = [0,3,6,4,7,1,2,16,9]\n",
    "# fig, axes = plt.subplots(nrows=len(cols), ncols=1, figsize=(6, 19))\n",
    "\n",
    "vals_all = []\n",
    "\n",
    "\n",
    "plt.figure(figsize = (6, 19))\n",
    "gs1 = gridspec.GridSpec(len(cols),1)\n",
    "gs1.update(wspace=0.075, hspace=0.1, left=0.3, right=0.95) # set the spacing between axes. \n",
    "\n",
    "axes = [plt.subplot(gs1[i]) for i in range(len(cols))]\n",
    "\n",
    "for nn,col in enumerate(cols):\n",
    "\n",
    "    axes[nn].set_facecolor('0.9')\n",
    "\n",
    "    vals = [list(data.loc[data['class'] == i, col]- 0.5) for i in ioi_classes]\n",
    "    vals_med = [np.median(i) for i in vals]\n",
    "\n",
    "    vals_all.append(vals_med)\n",
    "\n",
    "    parts = axes[nn].violinplot(vals, range(len(ioi_classes)), points=20, widths=0.6,\n",
    "                          showmeans=False, showextrema=True, showmedians=True,);\n",
    "\n",
    "    for n,pc in enumerate(parts['bodies']):\n",
    "        pc.set_facecolor('w')#cmap(norm(vals_med[n])))\n",
    "        pc.set_edgecolor('black')\n",
    "        pc.set_alpha(1)\n",
    "        pc.set_linewidth(1)\n",
    "\n",
    "    for c in parts.keys():\n",
    "        if c != 'bodies':\n",
    "            vp = parts[c]\n",
    "            vp.set_edgecolor('black')\n",
    "            vp.set_linewidth(1)\n",
    "\n",
    "    axes[nn].axhline(0, color='black', lw = 0.5)\n",
    "#     axes[nn].plot(line_range, np.ones_like(line_range) * 0.5, 'k--', lw = 1, zorder = 1)\n",
    "    axes[nn].set_ylim(-0.7,0.7)\n",
    "    axes[nn].tick_params(top=False, bottom=False, left=False, right=False, labelleft=False, labelbottom=False)\n",
    "    axes[nn].set_xticks(np.unique(data['class']))\n",
    "#     axes[nn].grid(color='0.5', linestyle='--', linewidth=1)\n",
    "#     axes[nn].axis(False);\n",
    "    axes[nn].spines['top'].set_visible(False)\n",
    "    axes[nn].spines['right'].set_visible(False)\n",
    "    axes[nn].spines['bottom'].set_visible(False)\n",
    "    axes[nn].spines['left'].set_visible(False)\n",
    "\n",
    "    h = axes[nn].set_ylabel(cols_clean[nn], labelpad = 5, horizontalalignment = 'right', verticalalignment = 'center')\n",
    "    h.set_rotation(0)\n",
    "    axes[nn].set_xlim(-0.5,len(ioi_classes) - 0.5);#data['class'].max() + 0.5)\n",
    "\n",
    "axes[nn].tick_params(top=False, bottom=False, left=False, right=False, labelleft=False, labelbottom=True)\n",
    "axes[nn].set_xticks(np.arange(len(ioi_classes)))\n",
    "axes[nn].set_xticklabels(ioi_classes);\n",
    "axes[nn].set_xlabel('Major island groups')\n",
    "\n",
    "\n",
    "fig.subplots_adjust(left=0.3)\n",
    "fig.subplots_adjust(right=0.95)\n",
    "\n",
    "# plt.savefig('_figs/violin_major_groups.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[],\n",
       " [0.41964120972939056,\n",
       "  0.35216112200625926,\n",
       "  0.4082362796845288,\n",
       "  0.3223673775688921,\n",
       "  0.4188503367784615,\n",
       "  0.23920733836715324,\n",
       "  0.35912468856155655,\n",
       "  0.1529981464108956,\n",
       "  0.40178930254235456,\n",
       "  0.2639566251377441,\n",
       "  0.24891667728574074,\n",
       "  0.5,\n",
       "  0.35651242646814774,\n",
       "  0.1475747778566333,\n",
       "  0.3440607295419844,\n",
       "  0.255221483770007,\n",
       "  0.2923357104318025,\n",
       "  0.29820057016859713,\n",
       "  0.3175836383363414,\n",
       "  0.28868029280857743,\n",
       "  0.3981849242849471,\n",
       "  0.22279618081194075,\n",
       "  0.19361422917279947,\n",
       "  0.24636006881111594,\n",
       "  0.3205584042078683,\n",
       "  0.30371285938189196,\n",
       "  0.30447752824305596,\n",
       "  0.20015567973760084,\n",
       "  0.311523612624766,\n",
       "  0.2408631337243693,\n",
       "  0.3277913728811612,\n",
       "  0.2131708000343826,\n",
       "  0.2683884697112672,\n",
       "  0.2460671452613219,\n",
       "  0.2802227328503194,\n",
       "  0.1547170991065946,\n",
       "  0.24448218867544702,\n",
       "  0.27932152910371366,\n",
       "  0.1544703156326258,\n",
       "  0.22675578793848905,\n",
       "  0.1959862664539631,\n",
       "  0.13402147827642652,\n",
       "  0.1247676247929741,\n",
       "  0.16295697925742159],\n",
       " [0.34643147648100525,\n",
       "  0.3472174391931804,\n",
       "  0.2720159796602156,\n",
       "  0.32084792072332835,\n",
       "  0.2144865935912854,\n",
       "  0.12317826912117336,\n",
       "  0.11262254468082467,\n",
       "  0.16346752842659995,\n",
       "  0.31742161873677444,\n",
       "  0.27622882582214225,\n",
       "  0.13506359115210076,\n",
       "  0.11708251463107933,\n",
       "  0.2003412300829257,\n",
       "  0.14363538035523404,\n",
       "  0.22031698115038512,\n",
       "  0.21458642281331253,\n",
       "  0.2047116572142993,\n",
       "  0.2716398667585139,\n",
       "  0.16506298219590632,\n",
       "  0.12816084093025726,\n",
       "  0.1383132051915661,\n",
       "  0.13204642461032567,\n",
       "  0.21071392725908866,\n",
       "  0.18426455545527554,\n",
       "  0.22744960248867996,\n",
       "  0.19859916920767862,\n",
       "  0.23915064756569804,\n",
       "  0.1693879953777303,\n",
       "  0.10245377324029215,\n",
       "  0.13213939918462558,\n",
       "  0.1528769355367493,\n",
       "  0.1600098963251313,\n",
       "  0.24742790039500517,\n",
       "  0.21831289480249227,\n",
       "  0.17162818078359976,\n",
       "  0.1925835609494414,\n",
       "  0.10186451767854754,\n",
       "  0.1392829477961759,\n",
       "  0.13958188293563523,\n",
       "  0.0867055882438793],\n",
       " [0.2539599491683314,\n",
       "  0.3014393476107292,\n",
       "  0.18965516077393008,\n",
       "  0.14842086633687923,\n",
       "  0.21192441580180854,\n",
       "  0.2499851433710386,\n",
       "  0.30312085538822364,\n",
       "  0.3084404165510639,\n",
       "  0.2586038561547592,\n",
       "  0.24327769748540784,\n",
       "  0.2492690752981186,\n",
       "  0.2218078864938572,\n",
       "  0.15233844381447514,\n",
       "  0.20126329971984158,\n",
       "  0.21105875264829765,\n",
       "  0.1545510392070384,\n",
       "  0.1983519859720826,\n",
       "  0.3326056141069189,\n",
       "  0.3085682716019682,\n",
       "  0.09720467061740345,\n",
       "  0.17802841910148814,\n",
       "  0.17141770678032076,\n",
       "  0.227466796190693,\n",
       "  0.10895365623700537,\n",
       "  0.11852886284145736,\n",
       "  0.14663171548905274,\n",
       "  0.1589538235757052,\n",
       "  0.10023716962553109,\n",
       "  0.19419898317222728,\n",
       "  0.12263633161535137],\n",
       " [0.4638896283226138,\n",
       "  0.21740471128269057,\n",
       "  0.24231296316482354,\n",
       "  0.09747930115054793,\n",
       "  0.11944001746229571,\n",
       "  0.1329052601414379,\n",
       "  0.10910825946152047,\n",
       "  0.1781977579345717,\n",
       "  0.11477718206736875,\n",
       "  0.08452509979966527,\n",
       "  0.1281976170274587,\n",
       "  0.11435974533231097,\n",
       "  0.11776385323780669,\n",
       "  0.10942553791041332,\n",
       "  0.11071444199382297,\n",
       "  0.14226945537013935,\n",
       "  0.11431533208866695,\n",
       "  0.09144687094367543,\n",
       "  0.12645068782588076,\n",
       "  0.10290498832788186,\n",
       "  0.11026198460353398,\n",
       "  0.1032378970581097,\n",
       "  0.13210620750526514,\n",
       "  0.08296541605737973,\n",
       "  0.10898096284623693],\n",
       " [0.4310241447332981,\n",
       "  0.21849820042705892,\n",
       "  0.18598404422034898,\n",
       "  0.3112285699207096,\n",
       "  0.1957252231156068,\n",
       "  0.19101211840818932,\n",
       "  0.16940297239463342,\n",
       "  0.1240597294483079,\n",
       "  0.13093493472062012,\n",
       "  0.24067859833598082,\n",
       "  0.13791095508473838,\n",
       "  0.113481310625142,\n",
       "  0.11615998009648631,\n",
       "  0.1884799831299876,\n",
       "  0.16224389309227527,\n",
       "  0.15742885552318742,\n",
       "  0.08567191590077516,\n",
       "  0.11166592425464339,\n",
       "  0.14250176441110474,\n",
       "  0.1390553019539459,\n",
       "  0.06284569153472463,\n",
       "  0.09852044215096323,\n",
       "  0.10004211224984494,\n",
       "  0.14203495849443926,\n",
       "  0.11812225247447294,\n",
       "  0.11871439234288317,\n",
       "  0.05481317115619633,\n",
       "  0.12401525834883098,\n",
       "  0.089914014315853,\n",
       "  0.10432711043966991,\n",
       "  0.16501530207089687,\n",
       "  0.1508314140755339,\n",
       "  0.11165715028946199,\n",
       "  0.1609950217765238],\n",
       " [0.35333027328896094,\n",
       "  0.3287645015981905,\n",
       "  0.17281181661644707,\n",
       "  0.2864969947107272,\n",
       "  0.15280311125602064,\n",
       "  0.13954589498897485,\n",
       "  0.12651341593040044,\n",
       "  0.10818951464716264,\n",
       "  0.1304373682215998,\n",
       "  0.10904691188422999,\n",
       "  0.14715953867126874,\n",
       "  0.09155370214293179,\n",
       "  0.136475286240482,\n",
       "  0.10415236432197217,\n",
       "  0.12076747130317289,\n",
       "  0.10281843146910463,\n",
       "  0.1410556158435502,\n",
       "  0.09746066946723742,\n",
       "  0.11220351616874225,\n",
       "  0.08911601975183991,\n",
       "  0.12449743998914886,\n",
       "  0.10782524226527712,\n",
       "  0.09389062310938467,\n",
       "  0.12774275150201553,\n",
       "  0.0921399399782481,\n",
       "  0.09790388302922692,\n",
       "  0.09389062310938467,\n",
       "  0.13021457183544982],\n",
       " [0.34161671625995627,\n",
       "  0.16548334268477927,\n",
       "  0.09075885892570279,\n",
       "  0.20683562605440897,\n",
       "  0.3156946467395547,\n",
       "  0.16983498856059254,\n",
       "  0.05272215308259354,\n",
       "  -0.008873446653560657,\n",
       "  0.16389818072599582,\n",
       "  0.19475155764664542,\n",
       "  0.18582539148706356,\n",
       "  0.08218607389271837,\n",
       "  0.16903063696073306,\n",
       "  0.10656172254210483,\n",
       "  0.13774666865878316,\n",
       "  0.21325102079078329,\n",
       "  0.1617014429772291,\n",
       "  0.1476285329825523,\n",
       "  0.02778932667725753,\n",
       "  0.18231147170504214,\n",
       "  0.18464349377843214,\n",
       "  0.13317241520354162,\n",
       "  0.18096115571142468,\n",
       "  0.03461188416990124,\n",
       "  0.18089631206549173],\n",
       " [0.07439410806793678,\n",
       "  0.05451739592186178,\n",
       "  0.14134450096482243,\n",
       "  0.06801055779671372,\n",
       "  0.10378452532835025,\n",
       "  0.08522037143753436,\n",
       "  0.07502571698240645,\n",
       "  0.06123651562008092,\n",
       "  0.057473337910601496,\n",
       "  0.07345115208607023,\n",
       "  0.07987495633362474,\n",
       "  0.11149684081109001,\n",
       "  0.05069578179469192,\n",
       "  0.09649063749180165,\n",
       "  0.07207570431072075,\n",
       "  0.07634743467464322,\n",
       "  0.07615905279661483,\n",
       "  0.1665414740933333,\n",
       "  0.11481711450082577,\n",
       "  0.0645455141757506,\n",
       "  0.07406160529127848,\n",
       "  0.08255231974250521,\n",
       "  0.036762144358072235,\n",
       "  0.07656011497622495,\n",
       "  0.06019983756995184,\n",
       "  0.15785194691559545,\n",
       "  0.04854964347583779,\n",
       "  0.11598441331671228,\n",
       "  0.028214744539342584,\n",
       "  0.025240690664490972,\n",
       "  0.08564377565518888,\n",
       "  0.034561704139349114,\n",
       "  0.06580629315671727,\n",
       "  0.11610425734932683,\n",
       "  0.014659350829685391,\n",
       "  0.14681532381784568,\n",
       "  0.09292853278329127,\n",
       "  0.09887380621602215,\n",
       "  0.010997492723468949,\n",
       "  0.10842372064267825,\n",
       "  0.2366170503956947,\n",
       "  0.06221141606732905,\n",
       "  -0.030435864671070734,\n",
       "  0.10188958240332857,\n",
       "  0.15103432017510154,\n",
       "  0.12434075540518119,\n",
       "  0.07896262116906871,\n",
       "  0.07989863459012425,\n",
       "  0.08175206632186793,\n",
       "  0.10205479514451488,\n",
       "  0.06564217444783915,\n",
       "  0.08303998061463225,\n",
       "  0.08318241501308654,\n",
       "  0.10279615747342985,\n",
       "  0.0752314464080186],\n",
       " [0.19704796420761317,\n",
       "  0.05033230304471781,\n",
       "  0.21665205308716884,\n",
       "  0.12435367149453624,\n",
       "  0.08718180393602437,\n",
       "  0.12674236586146315,\n",
       "  0.1451029751511118,\n",
       "  0.17602457960640883,\n",
       "  0.1281380655319888,\n",
       "  0.14804246914639263,\n",
       "  0.04624256540672678,\n",
       "  0.02993227714280111,\n",
       "  0.11401005760193539,\n",
       "  0.20483248041928848,\n",
       "  0.04085355268139301,\n",
       "  0.018483770916834286,\n",
       "  0.03656092411079548,\n",
       "  0.14909815449138253,\n",
       "  0.05136250805698683,\n",
       "  0.0376939423625805,\n",
       "  0.09736210902304077,\n",
       "  0.06980980583815888,\n",
       "  0.047552498029811874,\n",
       "  0.08073597093616347,\n",
       "  0.06449963611630094,\n",
       "  0.10515391379511851,\n",
       "  0.038233069698369815,\n",
       "  0.1205326668319342,\n",
       "  0.08897868632082384,\n",
       "  0.08876920610458428,\n",
       "  -0.008207228139409772,\n",
       "  0.06645099609543936,\n",
       "  0.04332241962286232,\n",
       "  0.06467465273139805,\n",
       "  0.03791606343610754,\n",
       "  0.03637751640803055,\n",
       "  0.05839498828010514,\n",
       "  0.007751590072637815,\n",
       "  0.015004212784585969,\n",
       "  0.06169308196020029,\n",
       "  0.031388082132404405]]"
      ]
     },
     "execution_count": 1154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature 11 (0.079548)\n",
      "2. feature 12 (0.079094)\n",
      "3. feature 14 (0.064604)\n",
      "4. feature 1 (0.063315)\n",
      "5. feature 4 (0.062415)\n",
      "6. feature 5 (0.062211)\n",
      "7. feature 3 (0.060415)\n",
      "8. feature 0 (0.055808)\n",
      "9. feature 7 (0.055330)\n",
      "10. feature 2 (0.052565)\n",
      "11. feature 15 (0.052140)\n",
      "12. feature 8 (0.050318)\n",
      "13. feature 17 (0.048915)\n",
      "14. feature 16 (0.047876)\n",
      "15. feature 6 (0.047698)\n",
      "16. feature 9 (0.046510)\n",
      "17. feature 10 (0.035788)\n",
      "18. feature 13 (0.035449)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAE8CAYAAAAsfWGYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.datasets import make_classification\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "\n",
    "\n",
    "X = scaled_parameters.values\n",
    "y = final_classes_df['34']\n",
    "\n",
    "# Build a forest and compute the feature importances\n",
    "forest = ExtraTreesClassifier(n_estimators=10,\n",
    "                              random_state=0)\n",
    "\n",
    "forest.fit(X, y)\n",
    "importances = forest.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in forest.estimators_],\n",
    "             axis=0)\n",
    "indices = np.argsort(importances)[::-1]\n",
    "\n",
    "# Print the feature ranking\n",
    "print(\"Feature ranking:\")\n",
    "\n",
    "for f in range(X.shape[1]):\n",
    "    print(\"%d. feature %d (%f)\" % (f + 1, indices[f], importances[indices[f]]))\n",
    "\n",
    "# Plot the feature importances of the forest\n",
    "plt.figure()\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X.shape[1]), importances[indices],\n",
    "       color=\"r\", yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X.shape[1]), normalized_parameters.columns[indices], rotation = 90)\n",
    "plt.xlim([-1, X.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 903,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.feature_selection import f_regression, mutual_info_classif, chi2\n",
    "\n",
    "np.random.seed(0)\n",
    "X = scaled_parameters.values\n",
    "y = labels\n",
    "\n",
    "f_test, _ = f_regression(X, y)\n",
    "f_test /= np.max(f_test)\n",
    "\n",
    "mi = mutual_info_classif(X, y)\n",
    "mi /= np.max(mi)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 905,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1, 20)"
      ]
     },
     "execution_count": 905,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEwCAYAAABMnTEqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "plt.bar(range(X.shape[1]), importances[indices] * 10,\n",
    "       color=\"lightgray\", yerr=std[indices], align=\"center\")\n",
    "\n",
    "plt.plot(range(X.shape[1]), f_test[indices], 'm')\n",
    "plt.plot(range(X.shape[1]), mi[indices])\n",
    "plt.xticks(range(X.shape[1]), scaled_parameters.columns[indices], rotation = 90)\n",
    "plt.xlim([-1, X.shape[1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Explained Variance</th>\n",
       "      <th>Area</th>\n",
       "      <th>CH_Area</th>\n",
       "      <th>EdgeDist</th>\n",
       "      <th>Perimeter</th>\n",
       "      <th>WetPerim</th>\n",
       "      <th>CH_Perim</th>\n",
       "      <th>AspectR</th>\n",
       "      <th>MajorAxis</th>\n",
       "      <th>MinorAxis</th>\n",
       "      <th>...</th>\n",
       "      <th>WetShapeF</th>\n",
       "      <th>FractalD</th>\n",
       "      <th>Min_Width</th>\n",
       "      <th>Max_Width</th>\n",
       "      <th>Avg_Width</th>\n",
       "      <th>NumOutflow</th>\n",
       "      <th>Concavity</th>\n",
       "      <th>Circular</th>\n",
       "      <th>Solidity</th>\n",
       "      <th>Convexity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dimension 1</th>\n",
       "      <td>0.6040</td>\n",
       "      <td>0.2920</td>\n",
       "      <td>0.2995</td>\n",
       "      <td>0.2781</td>\n",
       "      <td>0.2658</td>\n",
       "      <td>0.2752</td>\n",
       "      <td>0.2936</td>\n",
       "      <td>-0.0619</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.2971</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2239</td>\n",
       "      <td>0.1007</td>\n",
       "      <td>-0.0583</td>\n",
       "      <td>0.1181</td>\n",
       "      <td>0.0436</td>\n",
       "      <td>0.2489</td>\n",
       "      <td>0.3168</td>\n",
       "      <td>-0.1729</td>\n",
       "      <td>-0.1149</td>\n",
       "      <td>-0.1698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 2</th>\n",
       "      <td>0.1798</td>\n",
       "      <td>-0.0032</td>\n",
       "      <td>-0.0116</td>\n",
       "      <td>-0.0074</td>\n",
       "      <td>-0.0114</td>\n",
       "      <td>-0.0093</td>\n",
       "      <td>0.0010</td>\n",
       "      <td>0.1218</td>\n",
       "      <td>0.0119</td>\n",
       "      <td>-0.0309</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0210</td>\n",
       "      <td>-0.0986</td>\n",
       "      <td>0.2754</td>\n",
       "      <td>0.6914</td>\n",
       "      <td>0.6354</td>\n",
       "      <td>-0.0385</td>\n",
       "      <td>-0.0489</td>\n",
       "      <td>0.0310</td>\n",
       "      <td>0.0898</td>\n",
       "      <td>0.0441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 3</th>\n",
       "      <td>0.0826</td>\n",
       "      <td>-0.1382</td>\n",
       "      <td>-0.1092</td>\n",
       "      <td>-0.2353</td>\n",
       "      <td>-0.0186</td>\n",
       "      <td>-0.0067</td>\n",
       "      <td>-0.0533</td>\n",
       "      <td>0.6625</td>\n",
       "      <td>0.0063</td>\n",
       "      <td>-0.2183</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2940</td>\n",
       "      <td>-0.0304</td>\n",
       "      <td>-0.0514</td>\n",
       "      <td>-0.0097</td>\n",
       "      <td>-0.0175</td>\n",
       "      <td>0.1835</td>\n",
       "      <td>-0.0138</td>\n",
       "      <td>-0.3250</td>\n",
       "      <td>-0.2845</td>\n",
       "      <td>-0.0893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 4</th>\n",
       "      <td>0.0469</td>\n",
       "      <td>-0.1545</td>\n",
       "      <td>-0.1582</td>\n",
       "      <td>-0.1055</td>\n",
       "      <td>-0.0899</td>\n",
       "      <td>-0.0283</td>\n",
       "      <td>-0.1996</td>\n",
       "      <td>-0.5184</td>\n",
       "      <td>-0.2449</td>\n",
       "      <td>-0.0628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2615</td>\n",
       "      <td>0.1960</td>\n",
       "      <td>-0.1025</td>\n",
       "      <td>0.1612</td>\n",
       "      <td>0.0462</td>\n",
       "      <td>0.5444</td>\n",
       "      <td>-0.1547</td>\n",
       "      <td>-0.1046</td>\n",
       "      <td>0.0404</td>\n",
       "      <td>-0.2639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 5</th>\n",
       "      <td>0.0320</td>\n",
       "      <td>-0.0653</td>\n",
       "      <td>-0.0183</td>\n",
       "      <td>-0.1000</td>\n",
       "      <td>-0.0356</td>\n",
       "      <td>-0.0734</td>\n",
       "      <td>-0.0265</td>\n",
       "      <td>-0.1980</td>\n",
       "      <td>-0.0520</td>\n",
       "      <td>0.0179</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0777</td>\n",
       "      <td>0.3605</td>\n",
       "      <td>-0.4262</td>\n",
       "      <td>0.2726</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>-0.4475</td>\n",
       "      <td>0.1352</td>\n",
       "      <td>-0.0681</td>\n",
       "      <td>-0.5574</td>\n",
       "      <td>0.0584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 6</th>\n",
       "      <td>0.0236</td>\n",
       "      <td>-0.0347</td>\n",
       "      <td>-0.0045</td>\n",
       "      <td>-0.0599</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>-0.0160</td>\n",
       "      <td>-0.0160</td>\n",
       "      <td>-0.1650</td>\n",
       "      <td>-0.0304</td>\n",
       "      <td>0.0229</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>0.3107</td>\n",
       "      <td>0.8119</td>\n",
       "      <td>-0.2437</td>\n",
       "      <td>0.0514</td>\n",
       "      <td>-0.1086</td>\n",
       "      <td>0.0553</td>\n",
       "      <td>-0.0966</td>\n",
       "      <td>-0.3362</td>\n",
       "      <td>-0.0402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 7</th>\n",
       "      <td>0.0153</td>\n",
       "      <td>0.0414</td>\n",
       "      <td>0.0122</td>\n",
       "      <td>0.0452</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0083</td>\n",
       "      <td>0.0295</td>\n",
       "      <td>0.3216</td>\n",
       "      <td>0.0612</td>\n",
       "      <td>-0.0468</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1253</td>\n",
       "      <td>0.8386</td>\n",
       "      <td>-0.0413</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>-0.0272</td>\n",
       "      <td>0.1359</td>\n",
       "      <td>-0.0817</td>\n",
       "      <td>0.1078</td>\n",
       "      <td>0.3283</td>\n",
       "      <td>0.0814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dimension 8</th>\n",
       "      <td>0.0084</td>\n",
       "      <td>0.0110</td>\n",
       "      <td>-0.0357</td>\n",
       "      <td>0.0030</td>\n",
       "      <td>0.0752</td>\n",
       "      <td>0.0886</td>\n",
       "      <td>-0.0314</td>\n",
       "      <td>-0.0656</td>\n",
       "      <td>-0.0393</td>\n",
       "      <td>-0.0114</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2721</td>\n",
       "      <td>0.0757</td>\n",
       "      <td>-0.0210</td>\n",
       "      <td>-0.0625</td>\n",
       "      <td>0.0529</td>\n",
       "      <td>-0.5926</td>\n",
       "      <td>-0.1195</td>\n",
       "      <td>-0.2631</td>\n",
       "      <td>0.4806</td>\n",
       "      <td>-0.3974</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Explained Variance    Area  CH_Area  EdgeDist  Perimeter  \\\n",
       "Dimension 1              0.6040  0.2920   0.2995    0.2781     0.2658   \n",
       "Dimension 2              0.1798 -0.0032  -0.0116   -0.0074    -0.0114   \n",
       "Dimension 3              0.0826 -0.1382  -0.1092   -0.2353    -0.0186   \n",
       "Dimension 4              0.0469 -0.1545  -0.1582   -0.1055    -0.0899   \n",
       "Dimension 5              0.0320 -0.0653  -0.0183   -0.1000    -0.0356   \n",
       "Dimension 6              0.0236 -0.0347  -0.0045   -0.0599     0.0003   \n",
       "Dimension 7              0.0153  0.0414   0.0122    0.0452    -0.0001   \n",
       "Dimension 8              0.0084  0.0110  -0.0357    0.0030     0.0752   \n",
       "\n",
       "             WetPerim  CH_Perim  AspectR  MajorAxis  MinorAxis    ...      \\\n",
       "Dimension 1    0.2752    0.2936  -0.0619     0.2820     0.2971    ...       \n",
       "Dimension 2   -0.0093    0.0010   0.1218     0.0119    -0.0309    ...       \n",
       "Dimension 3   -0.0067   -0.0533   0.6625     0.0063    -0.2183    ...       \n",
       "Dimension 4   -0.0283   -0.1996  -0.5184    -0.2449    -0.0628    ...       \n",
       "Dimension 5   -0.0734   -0.0265  -0.1980    -0.0520     0.0179    ...       \n",
       "Dimension 6   -0.0160   -0.0160  -0.1650    -0.0304     0.0229    ...       \n",
       "Dimension 7   -0.0083    0.0295   0.3216     0.0612    -0.0468    ...       \n",
       "Dimension 8    0.0886   -0.0314  -0.0656    -0.0393    -0.0114    ...       \n",
       "\n",
       "             WetShapeF  FractalD  Min_Width  Max_Width  Avg_Width  NumOutflow  \\\n",
       "Dimension 1     0.2239    0.1007    -0.0583     0.1181     0.0436      0.2489   \n",
       "Dimension 2    -0.0210   -0.0986     0.2754     0.6914     0.6354     -0.0385   \n",
       "Dimension 3     0.2940   -0.0304    -0.0514    -0.0097    -0.0175      0.1835   \n",
       "Dimension 4     0.2615    0.1960    -0.1025     0.1612     0.0462      0.5444   \n",
       "Dimension 5    -0.0777    0.3605    -0.4262     0.2726     0.0424     -0.4475   \n",
       "Dimension 6     0.0085    0.3107     0.8119    -0.2437     0.0514     -0.1086   \n",
       "Dimension 7    -0.1253    0.8386    -0.0413     0.0424    -0.0272      0.1359   \n",
       "Dimension 8     0.2721    0.0757    -0.0210    -0.0625     0.0529     -0.5926   \n",
       "\n",
       "             Concavity  Circular  Solidity  Convexity  \n",
       "Dimension 1     0.3168   -0.1729   -0.1149    -0.1698  \n",
       "Dimension 2    -0.0489    0.0310    0.0898     0.0441  \n",
       "Dimension 3    -0.0138   -0.3250   -0.2845    -0.0893  \n",
       "Dimension 4    -0.1547   -0.1046    0.0404    -0.2639  \n",
       "Dimension 5     0.1352   -0.0681   -0.5574     0.0584  \n",
       "Dimension 6     0.0553   -0.0966   -0.3362    -0.0402  \n",
       "Dimension 7    -0.0817    0.1078    0.3283     0.0814  \n",
       "Dimension 8    -0.1195   -0.2631    0.4806    -0.3974  \n",
       "\n",
       "[8 rows x 21 columns]"
      ]
     },
     "execution_count": 1126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfMAAAEqCAYAAAABPrmsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJZlHRESMuSTziIiIMZdkHhERMeb+D8dZONARRlOpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAy0AAANuCAYAAAAb3ObEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0hQtAADApClaAACASVO0AAAAk/YPKVeEvTUR334AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x864 with 324 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameter_labels = ['Area','Area of Convex Hull','Max. Distance from Edge',\n",
    "                    'Perimeter','Wet Perimeter','Perimeter of Convex Hull',\n",
    "                    'Aspect Ratio',#'Major Axis','Minor Axis',\n",
    "                    'Dry Shape Factor','Wet Shape Factor','Fractal Dimension',\n",
    "                    'Min. Channel Width','Max. Channel Width','Avg. Channel Width','Number of Outflow Channels',\n",
    "                    'Concavity','Circularity','Solidity','Convexity',]\n",
    "#                     'Perimeter Equivalent Diameter','Equivalent Area Diameter']\n",
    "\n",
    "plt.figure(figsize=(7,4))\n",
    "\n",
    "pca_corr = pca_results[scaled_parameters.columns.values]\n",
    "\n",
    "pd.to_pickle(pca_corr, '_PCA/pca_correlations.p')\n",
    "\n",
    "ax = sns.heatmap(pca_corr,\n",
    "            vmin=-1, vmax = 1,\n",
    "            cmap = 'bwr_r',\n",
    "            cbar_kws={'label': 'Variable weight', 'ticks': [-1,0,1]},\n",
    "            xticklabels = parameter_labels)\n",
    "ax.set_yticklabels(range(1,11),rotation = 0);\n",
    "ax.set_ylabel('Dimension')\n",
    "\n",
    "ax.axhline(y=0, color='k',linewidth=1)\n",
    "ax.axhline(y=pca_corr.shape[0], color='k',linewidth=1)\n",
    "ax.axvline(x=0, color='k',linewidth=1)\n",
    "ax.axvline(x=pca_corr.shape[1], color='k',linewidth=1)\n",
    "\n",
    "\n",
    "plt.subplots_adjust(left = 0.08, right = 1.05, top = 0.95, bottom = 0.5)\n",
    "\n",
    "plt.savefig(output_dir + 'pca__variable_weight.png', dpi = 300, )    \n",
    "\n",
    "plt.figure(figsize=(5, 3))\n",
    "\n",
    "plt.grid(zorder=1, alpha = 0.25)\n",
    "\n",
    "plt.bar(range(len(explained_variance)),explained_variance*100, zorder=2)\n",
    "plt.plot(range(len(explained_variance)),explained_variance*100, 'ko-', zorder=3)\n",
    "\n",
    "plt.xlabel('Dimension')\n",
    "plt.ylabel('Percentage of explained variances')\n",
    "plt.ylim(0,np.ceil(np.max(explained_variance*10))*10)\n",
    "plt.xticks(range(0,len(explained_variance)), range(1,len(explained_variance) + 1))\n",
    "\n",
    "labels = ['{:.1%}'.format(i) for i in explained_variance]\n",
    "labels = [i if i[0]<>'0' else i[1:] for i in labels]\n",
    "\n",
    "\n",
    "for label, x, y in zip(labels, range(len(explained_variance)), explained_variance*100):\n",
    "    plt.annotate(\n",
    "        label,\n",
    "        xy=(x, y), xytext=(-2,8),\n",
    "        textcoords='offset points', ha='left', va='center', size=10)\n",
    "    \n",
    "plt.savefig(output_dir + 'pca__scree_plot.png', dpi = 300)    \n",
    "plt.close()\n",
    "\n",
    "mpl.rcParams.update(inline_rc)\n",
    "\n",
    "norm = matplotlib.colors.Normalize(vmin = -1.5, vmax = 1.5)\n",
    "cmap = matplotlib.cm.get_cmap('bwr_r')\n",
    "\n",
    "\n",
    "axes = pd.plotting.scatter_matrix(scaled_parameters,\n",
    "                                  alpha = 0.1, figsize = (12,12),\n",
    "                                  diagonal = 'kde', c = 'k',\n",
    "                                  density_kwds={'color': 'k'});\n",
    "\n",
    "corr = scaled_parameters.corr().values\n",
    "\n",
    "\n",
    "for i,j in zip(*plt.np.triu_indices_from(axes, k=1)):\n",
    "    \n",
    "    axes[j,i].clear()\n",
    "    axes[j,i].set_ylabel(parameter_labels[j], rotation = 0, horizontalalignment = 'right', verticalalignment = 'center')\n",
    "    axes[j,i].set_xticks([])\n",
    "    axes[j,i].set_yticks([])\n",
    "    axes[j,i].set_facecolor(cmap(norm(corr[j,i])))\n",
    "    axes[j,i].annotate(\"%.2f\" %corr[j,i], (0.5, 0.5), xycoords='axes fraction', ha='center', va='center')\n",
    "\n",
    "axes[0,0].set_xticks([])\n",
    "axes[0,0].set_yticks([])\n",
    "axes[-1,-1].set_xticks([])\n",
    "axes[-1,-1].set_yticks([])\n",
    "\n",
    "\n",
    "j = -1\n",
    "for i in range(len(parameter_labels)):\n",
    "    axes[j,i].set_xlabel(parameter_labels[i], rotation = 90, horizontalalignment = 'left', verticalalignment = 'top')\n",
    "\n",
    "    \n",
    "i,j = 0,0\n",
    "axes[j,i].set_ylabel(parameter_labels[j], rotation = 0, horizontalalignment = 'right', verticalalignment = 'center')\n",
    "\n",
    "i,j = -1,-1\n",
    "axes[j,i].set_ylabel(parameter_labels[j], rotation = 0, horizontalalignment = 'right', verticalalignment = 'center')\n",
    "\n",
    "plt.subplots_adjust(right = 0.95, left = 0.2, top = 0.95)\n",
    "\n",
    "plt.savefig('_figures/pca__variable_correlation_matrix.png', dpi = 150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1.03, 1.03)"
      ]
     },
     "execution_count": 1114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArQAAAKjCAYAAADs7Zz5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAQAAYGkELQAAACzt/wNOP97/JVk/HAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = [\n",
    "    '#810f7c','#88419d','#8c6bb1',\n",
    "'#2d004b',\n",
    "#     '#e6194B', '#3cb44b', '#4363d8', '#f58231', #'#42d4f4',\n",
    "#           '#f032e6',\n",
    "          '#fabebe', '#469990', #'#e6beff',\n",
    "          '#9A6324',  '#800000', '#aaffc3',\n",
    "          '#8e0152','#c51b7d','#de77ae',\n",
    "           '#fc4e2a',# num out\n",
    "          '#bf812d','#543005','#8c510a',\n",
    "          '#35978f','#01665e','#003c30']\n",
    "#           '#41ae76', '#2ca25f', '#00441b']\n",
    "\n",
    "(fig, ax) = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "\n",
    "# an = np.linspace(0, 2 * np.pi, 100)\n",
    "# plt.plot(np.cos(an), np.sin(an), '-', c = '0.9')  # Add a unit circle for scale\n",
    "\n",
    "\n",
    "for i in np.arange(len(pca_corr.columns)-1,-1,-1):\n",
    "    \n",
    "    ha = 'left'\n",
    "    l2 = np.array([pca_corr.iloc[0, i],\n",
    "             pca_corr.iloc[1, i]])\n",
    "    \n",
    "    angle = np.degrees(np.arctan(pca_corr.iloc[1, i] / pca_corr.iloc[0, i]))\n",
    "    trans_angle = plt.gca().transData.transform_angles(np.array((angle,)),\n",
    "                                                   l2.reshape((1, 2)))[0]\n",
    "\n",
    "    \n",
    "    if np.sign(pca_corr.iloc[0, i]) < 0:\n",
    "        ha = 'right'\n",
    "    \n",
    "#     ax.plot(pca_corr.iloc[0, i],  #0 for PC1\n",
    "#              pca_corr.iloc[1, i],  #1 for PC2\n",
    "#             'mx', ms = 10)\n",
    "\n",
    "#     if cols[i] not in []:#['Island area','Wet shape factor', 'Number of outflow channels', 'Convexity','Solidity', 'Circularity']:\n",
    "\n",
    "    ax.text(l2[0],l2[1],  #1 for PC2\n",
    "            ' ' + cols[i] + '  ',\n",
    "               horizontalalignment=ha, verticalalignment = 'center',\n",
    "            rotation=trans_angle, rotation_mode='anchor', color = colors[i], fontsize='x-large', weight = 'bold')\n",
    "    ax.arrow(0,\n",
    "             0,  # Start the arrow at the origin\n",
    "             pca_corr.iloc[0, i],  #0 for PC1\n",
    "             pca_corr.iloc[1, i],  #1 for PC2\n",
    "             head_width=0.03,\n",
    "             head_length=0.03,\n",
    "             width = 0.005,\n",
    "                length_includes_head = True,\n",
    "            color = colors[i])\n",
    "    \n",
    "\n",
    "ax.spines['left'].set_position('center')\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['bottom'].set_position('center')\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.spines['left'].set_smart_bounds(True)\n",
    "ax.spines['bottom'].set_smart_bounds(True)\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "\n",
    "plt.axis('equal');\n",
    "\n",
    "ax.set_xlabel('Dimension 1', horizontalalignment='center',verticalalignment='top', x=0.88, fontsize = 'xx-large', weight = 'bold')\n",
    "# ax.xaxis.set_label_coords(0, -0.025)\n",
    "ax.set_ylabel('Dimension 2', verticalalignment='center', y=0.9, fontsize = 'xx-large', weight = 'bold')\n",
    "\n",
    "\n",
    "ax.set_xlim(-1.03,1.03)\n",
    "ax.set_ylim(-1.03,1.03)\n",
    "\n",
    "# ax.xaxis.set_label_coords(0.8, 0)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 1113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pca_corr.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}