Promoter Methylation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.patches as mpatches\n",
    "from scipy.cluster.hierarchy import dendrogram, linkage\n",
    "from scipy import stats\n",
    "import seaborn as sns; sns.set_theme(color_codes=True)\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn.cluster\n",
    "import sklearn.metrics\n",
    "import sklearn.datasets\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "matplotlib.rcParams[\"pdf.fonttype\"] = 42\n",
    "matplotlib.rcParams[\"ps.fonttype\"] = 42\n",
    "sns.set_style(style='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th>CpG ID</th>\n",
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      "text/plain": [
       "   Unnamed: 0      CpG ID CHR      MAPINFO  mean_beta\n",
       "0           0  cg00005617   X   68059898.0   0.676049\n",
       "1           1  cg00006815   X  103810908.0   0.203507\n",
       "2           2  cg00008932   X   71498597.0   0.718252\n",
       "3           3  cg00008945   X   80377379.0   0.161582\n",
       "4           4  cg00011200   X   48380234.0   0.221467"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "methylation_beta = pd.read_csv(\"../Carter Lab Datasets/DNA Methylation Data/pancan_methylation_coordinates_mean_beta.csv\")\n",
    "methylation_beta.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "(396000, 5)"
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     "execution_count": 10,
     "metadata": {},
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   ],
   "source": [
    "methylation_beta.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>chr</th>\n",
       "      <th>start</th>\n",
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      "text/plain": [
       "                         chr     start       end strand\n",
       "0                       chr1   10873.0   11873.0      +\n",
       "3                       chr1   16765.0   17765.0      -\n",
       "4                       chr1   17751.0   18751.0      -\n",
       "5                       chr1   18061.0   19061.0      -\n",
       "6                       chr1   19759.0   20759.0    NaN\n",
       "...                      ...       ...       ...    ...\n",
       "82950  chr19_gl000209_random   85690.0   86690.0      +\n",
       "82951  chr19_gl000209_random   97111.0   98111.0      +\n",
       "82952  chr19_gl000209_random  114098.0  115098.0      +\n",
       "82955  chr19_gl000209_random  130448.0  131448.0      +\n",
       "82959  chr19_gl000209_random  148188.0  149188.0      +\n",
       "\n",
       "[53955 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "promoter_regions = pd.read_csv(\"../Carter Lab Datasets/Promoter Data/promoter_regions.txt\", sep='\\t', comment='t', header=None)\n",
    "header = [\"chr\", \"start\", \"end\", \"col3\", \"col4\", \"strand\"]\n",
    "promoter_regions.columns = header[:len(promoter_regions.columns)]\n",
    "del promoter_regions[\"col3\"]\n",
    "del promoter_regions[\"col4\"]\n",
    "promoter_regions = promoter_regions.drop_duplicates()\n",
    "promoter_regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "      <td>24075000</td>\n",
       "      <td>24270000</td>\n",
       "      <td>X</td>\n",
       "      <td>24075000</td>\n",
       "      <td>24270000</td>\n",
       "      <td>255,255,0</td>\n",
       "      <td>1.5696</td>\n",
       "      <td>0.031361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.706498</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>195000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1100 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0 chr1         x1         x2 chr2         y1         y2  \\\n",
       "0              0    1   36960000   37910000    1   36960000   37910000   \n",
       "1              1    1   38485000   39310000    1   38485000   39310000   \n",
       "2              2    1  157140000  157480000    1  157140000  157480000   \n",
       "3              3    1   64075000   64730000    1   64075000   64730000   \n",
       "4              4    1  110325000  110530000    1  110325000  110530000   \n",
       "...          ...  ...        ...        ...  ...        ...        ...   \n",
       "1095        1095    X  117750000  117955000    X  117750000  117955000   \n",
       "1096        1096    X   37785000   38035000    X   37785000   38035000   \n",
       "1097        1097    X  109150000  109385000    X  109150000  109385000   \n",
       "1098        1098    X  102790000  102945000    X  102790000  102945000   \n",
       "1099        1099    X   24075000   24270000    X   24075000   24270000   \n",
       "\n",
       "          color      f1        f2  ...  H3K27me3  H4K20me1  #meqtl  \\\n",
       "0     255,255,0  1.8249  0.079690  ...  0.167622  0.705304     206   \n",
       "1     255,255,0  1.7513  0.051417  ...  0.226065  0.369001     219   \n",
       "2     255,255,0  1.3679  0.065425  ...  0.275085  0.000000     283   \n",
       "3     255,255,0  1.3300  0.074093  ...  0.244738  0.000000     301   \n",
       "4     255,255,0  1.5128  0.032783  ...  0.499037  0.704529      38   \n",
       "...         ...     ...       ...  ...       ...       ...     ...   \n",
       "1095  255,255,0  1.2678  0.032125  ...  0.000000  0.000000       0   \n",
       "1096  255,255,0  1.5301  0.051187  ...  1.000000  0.000000       0   \n",
       "1097  255,255,0  1.0945  0.040047  ...  0.000000  1.000000       0   \n",
       "1098  255,255,0  1.2129  0.041055  ...  0.000000  0.000000       0   \n",
       "1099  255,255,0  1.5696  0.031361  ...  0.000000  0.706498       0   \n",
       "\n",
       "      KMeans_State_Labels  #meqtl_pos  #meqtl_neg  domain_size  \\\n",
       "0                       4          71         141       950000   \n",
       "1                       4         122          97       825000   \n",
       "2                       4          90         194       340000   \n",
       "3                       4         201         189       655000   \n",
       "4                       0          26          22       205000   \n",
       "...                   ...         ...         ...          ...   \n",
       "1095                    0           0           0       205000   \n",
       "1096                    1           0           0       250000   \n",
       "1097                    1           0           0       235000   \n",
       "1098                    1           0           0       155000   \n",
       "1099                    0           0           0       195000   \n",
       "\n",
       "      norm_meqtl_by_size  norm_pos_meqtl_by_size  norm_neg_meqtl_by_size  \n",
       "0               0.062006                0.021654                0.047834  \n",
       "1               0.075906                0.042846                0.037893  \n",
       "2               0.238009                0.076695                0.183891  \n",
       "3               0.131405                0.088911                0.092995  \n",
       "4               0.053005                0.036747                0.034587  \n",
       "...                  ...                     ...                     ...  \n",
       "1095            0.000000                0.000000                0.000000  \n",
       "1096            0.000000                0.000000                0.000000  \n",
       "1097            0.000000                0.000000                0.000000  \n",
       "1098            0.000000                0.000000                0.000000  \n",
       "1099            0.000000                0.000000                0.000000  \n",
       "\n",
       "[1100 rows x 28 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "common_TADs = pd.read_csv(\"../Carter Lab Datasets/common_TADs_meQTLs.csv\")\n",
    "common_TADs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "100\n",
      "200\n",
      "300\n",
      "400\n",
      "500\n",
      "600\n",
      "700\n",
      "800\n",
      "900\n",
      "1000\n"
     ]
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    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chr</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>label</th>\n",
       "      <th>TAD Index</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr1</td>\n",
       "      <td>37499844.0</td>\n",
       "      <td>37500844.0</td>\n",
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       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>chr1</td>\n",
       "      <td>37626163.0</td>\n",
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       "      <th>2</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>38554902.0</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr1</td>\n",
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       "      <td>38681439.0</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>6561</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24167771.0</td>\n",
       "      <td>24168771.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6562</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24166761.0</td>\n",
       "      <td>24167761.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
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       "    <tr>\n",
       "      <th>6563</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24168807.0</td>\n",
       "      <td>24169807.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6564</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24189831.0</td>\n",
       "      <td>24190831.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6565</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24224828.0</td>\n",
       "      <td>24225828.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6566 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       chr       start         end  label  TAD Index\n",
       "0     chr1  37499844.0  37500844.0      4          0\n",
       "1     chr1  37626163.0  37627163.0      4          0\n",
       "2     chr1  38512450.0  38513450.0      4          1\n",
       "3     chr1  38553902.0  38554902.0      4          1\n",
       "4     chr1  38680439.0  38681439.0      4          1\n",
       "...    ...         ...         ...    ...        ...\n",
       "6561  chrX  24167771.0  24168771.0      0       1099\n",
       "6562  chrX  24166761.0  24167761.0      0       1099\n",
       "6563  chrX  24168807.0  24169807.0      0       1099\n",
       "6564  chrX  24189831.0  24190831.0      0       1099\n",
       "6565  chrX  24224828.0  24225828.0      0       1099\n",
       "\n",
       "[6566 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlap_TAD_promoter = pd.DataFrame()\n",
    "overlap_chr = []\n",
    "overlap_start = []\n",
    "overlap_end = []\n",
    "overlap_labels = []\n",
    "overlap_num = []\n",
    "overlap_ind = []\n",
    "for i, row in common_TADs.iterrows():\n",
    "    if i%100 == 0:\n",
    "        print(i)\n",
    "    tad_start = row[\"x1\"]\n",
    "    tad_end = row[\"x2\"]\n",
    "    start_pos_1 = promoter_regions[\"start\"]\n",
    "    end_pos_1 = promoter_regions[\"end\"]\n",
    "    common_chr = promoter_regions[promoter_regions[\"chr\"] == \"chr\"+row[\"chr1\"]]\n",
    "    cond1 = common_chr[(start_pos_1 >= tad_start) & (end_pos_1 <= tad_end)]\n",
    "    overlap_chr += list(cond1[\"chr\"])\n",
    "    overlap_start += list((cond1[\"start\"]))\n",
    "    overlap_end += list((cond1[\"end\"]))\n",
    "    overlap_labels += [int(row[\"KMeans_State_Labels\"])]*(int(len(cond1)))\n",
    "    overlap_num.append(len(cond1))\n",
    "    overlap_ind += [i]*(len(cond1))\n",
    "overlap_TAD_promoter[\"chr\"] = overlap_chr\n",
    "overlap_TAD_promoter[\"start\"] = overlap_start\n",
    "overlap_TAD_promoter[\"end\"] = overlap_end\n",
    "overlap_TAD_promoter[\"label\"] = overlap_labels\n",
    "overlap_TAD_promoter[\"TAD Index\"] = overlap_ind\n",
    "overlap_TAD_promoter\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1100"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(overlap_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>TAD Index</th>\n",
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       "  <tbody>\n",
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       "      <th>2</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>38554902.0</td>\n",
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       "      <td>1</td>\n",
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       "      <th>4</th>\n",
       "      <td>chr1</td>\n",
       "      <td>38680439.0</td>\n",
       "      <td>38681439.0</td>\n",
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       "      <th>6561</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24167771.0</td>\n",
       "      <td>24168771.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6562</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24166761.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1099</td>\n",
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       "    <tr>\n",
       "      <th>6563</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24168807.0</td>\n",
       "      <td>24169807.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
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       "    <tr>\n",
       "      <th>6564</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24189831.0</td>\n",
       "      <td>24190831.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6565</th>\n",
       "      <td>chrX</td>\n",
       "      <td>24224828.0</td>\n",
       "      <td>24225828.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1099</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6176 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       chr       start         end  label  TAD Index\n",
       "0     chr1  37499844.0  37500844.0      4          0\n",
       "1     chr1  37626163.0  37627163.0      4          0\n",
       "2     chr1  38512450.0  38513450.0      4          1\n",
       "3     chr1  38553902.0  38554902.0      4          1\n",
       "4     chr1  38680439.0  38681439.0      4          1\n",
       "...    ...         ...         ...    ...        ...\n",
       "6561  chrX  24167771.0  24168771.0      0       1099\n",
       "6562  chrX  24166761.0  24167761.0      0       1099\n",
       "6563  chrX  24168807.0  24169807.0      0       1099\n",
       "6564  chrX  24189831.0  24190831.0      0       1099\n",
       "6565  chrX  24224828.0  24225828.0      0       1099\n",
       "\n",
       "[6176 rows x 5 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlap_TAD_promoter = overlap_TAD_promoter.drop_duplicates()\n",
    "overlap_TAD_promoter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1000\n",
      "2000\n",
      "3000\n",
      "4000\n",
      "5000\n",
      "6000\n"
     ]
    },
    {
     "data": {
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       "{0: [0.3387077330086757,\n",
       "  0.033518191399631636,\n",
       "  0.6332913733850924,\n",
       "  nan,\n",
       "  0.7170095996097667,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8014332736961886,\n",
       "  0.023585936598403724,\n",
       "  nan,\n",
       "  0.041178483645018006,\n",
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       "  0.6341627377276507,\n",
       "  0.6341627377276507,\n",
       "  nan,\n",
       "  nan,\n",
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       "  0.05120203085410474,\n",
       "  0.07058288164198429,\n",
       "  0.19277234936647158,\n",
       "  0.23422116875417576,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1366850319213972,\n",
       "  nan,\n",
       "  0.5875107820138706,\n",
       "  nan,\n",
       "  0.0692205760956676,\n",
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       "  nan,\n",
       "  0.47991773138796967,\n",
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       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.026389594564513563,\n",
       "  0.913691529248999,\n",
       "  0.048601864740563924,\n",
       "  0.05374340763180322,\n",
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       "  0.06214385362107749,\n",
       "  0.16977315886771147,\n",
       "  0.6705076829470189,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.369880450414903,\n",
       "  0.07589019788444919,\n",
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       "  0.1486538177323559,\n",
       "  0.5329299519660585,\n",
       "  0.5395378694329482,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6841478752148795,\n",
       "  0.048185927292529074,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0743560150474063,\n",
       "  0.03129239354836799,\n",
       "  nan,\n",
       "  0.07059025492850378,\n",
       "  0.7708413857512421,\n",
       "  nan,\n",
       "  0.3664461699451565,\n",
       "  0.23686295885451134,\n",
       "  0.12404567002735097,\n",
       "  0.1920304913424399,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1904110811551789,\n",
       "  0.8717970926479697,\n",
       "  0.017038613625392916,\n",
       "  0.03778236785455919,\n",
       "  nan,\n",
       "  0.32614129481244974,\n",
       "  nan,\n",
       "  0.6231432576986733,\n",
       "  0.5442610045602214,\n",
       "  0.5521125705440328,\n",
       "  nan,\n",
       "  0.7104459064155634,\n",
       "  nan,\n",
       "  0.7693736707574507,\n",
       "  0.4714214693242979,\n",
       "  0.7111210195519466,\n",
       "  0.06845901645731409,\n",
       "  0.07615523093917424,\n",
       "  0.4902095724162579,\n",
       "  0.02724366427989186,\n",
       "  0.0579189158791895,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.593800678837878,\n",
       "  0.09314692442424566,\n",
       "  0.09314692442424566,\n",
       "  0.09314692442424566,\n",
       "  0.0503609076034768,\n",
       "  0.041967956595496805,\n",
       "  0.041967956595496805,\n",
       "  0.041967956595496805,\n",
       "  0.6313387500000011,\n",
       "  0.03741894247281946,\n",
       "  0.03933211218481874,\n",
       "  nan,\n",
       "  0.23547263166028554,\n",
       "  0.38281991569524065,\n",
       "  0.21950368928473993,\n",
       "  0.037448469717427886,\n",
       "  0.04633396492576888,\n",
       "  nan,\n",
       "  0.9625042762082184,\n",
       "  nan,\n",
       "  0.048182561145702484,\n",
       "  0.028738642729639607,\n",
       "  nan,\n",
       "  0.05723419920071972,\n",
       "  0.1211786949494134,\n",
       "  0.16344508336321178,\n",
       "  0.13214664235751974,\n",
       "  0.05831851554690342,\n",
       "  0.09598337471026482,\n",
       "  0.2909001485668459,\n",
       "  nan,\n",
       "  0.8156336153766571,\n",
       "  0.3725962213710347,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04489803394517147,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.02858269790335835,\n",
       "  0.0672339458192997,\n",
       "  0.0672339458192997,\n",
       "  0.733875952393125,\n",
       "  0.10148724703366448,\n",
       "  0.050656495773205704,\n",
       "  0.0423787979817845,\n",
       "  0.19600364634699774,\n",
       "  nan,\n",
       "  0.6122391492565278,\n",
       "  0.46782477573728026,\n",
       "  0.5103615285380502,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.15699925691167393,\n",
       "  nan,\n",
       "  0.855669242549667,\n",
       "  0.043272536007174456,\n",
       "  0.21095478111887625,\n",
       "  0.09698204195316015,\n",
       "  0.7169058808360955,\n",
       "  nan,\n",
       "  0.7678668894039732,\n",
       "  nan,\n",
       "  0.061931141019943826,\n",
       "  0.6086241082790002,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8382403824510559,\n",
       "  0.02120312323508998,\n",
       "  nan,\n",
       "  0.0981234788401754,\n",
       "  0.032681881124241204,\n",
       "  nan,\n",
       "  0.13033985935082973,\n",
       "  0.08657386859388144,\n",
       "  nan,\n",
       "  0.8875633911966696,\n",
       "  0.10227378220598596,\n",
       "  nan,\n",
       "  0.11330566864528535,\n",
       "  0.8303239282491749,\n",
       "  0.8303239282491749,\n",
       "  0.7850191986961927,\n",
       "  0.6136640666900297,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.12049420457395399,\n",
       "  0.88017395505682,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.061654715306768706,\n",
       "  0.4588492920625052,\n",
       "  0.052827164934462593,\n",
       "  0.052827164934462593,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0613815305711467,\n",
       "  0.0613815305711467,\n",
       "  nan,\n",
       "  0.5110734314168424,\n",
       "  0.5110734314168424,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09858806375987164,\n",
       "  0.6539556480305848,\n",
       "  0.22767189063167645,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.33099241092790477,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05080829306744995,\n",
       "  0.8170774568734472,\n",
       "  nan,\n",
       "  0.06840438608916892,\n",
       "  0.0788724785546321,\n",
       "  nan,\n",
       "  0.6781789903872589,\n",
       "  0.032576692609983214,\n",
       "  0.4142956334230126,\n",
       "  0.5806211377705197,\n",
       "  nan,\n",
       "  0.7943111651490068,\n",
       "  nan,\n",
       "  0.09179241934568523,\n",
       "  nan,\n",
       "  0.04287295138835958,\n",
       "  0.09947965953210684,\n",
       "  0.18365814499116556,\n",
       "  0.03730262229289192,\n",
       "  0.036490791601496715,\n",
       "  0.8838892295663897,\n",
       "  nan,\n",
       "  0.8081835093025694,\n",
       "  0.8095281251044059,\n",
       "  0.35211644498275635,\n",
       "  0.6857590628725184,\n",
       "  0.5229337802805565,\n",
       "  0.8936298545555663,\n",
       "  0.6051757588714184,\n",
       "  0.042621249209045364,\n",
       "  0.037084610481167145,\n",
       "  0.40141576054987044,\n",
       "  0.6419080838387347,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05352843304404027,\n",
       "  0.03099959976256814,\n",
       "  0.05037891222522731,\n",
       "  0.15251558406456978,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.057503553167928274,\n",
       "  nan,\n",
       "  0.03166845519540321,\n",
       "  nan,\n",
       "  0.028981015457976062,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.860386256176866,\n",
       "  0.05233453645978017,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6654382694484708,\n",
       "  0.6563214260390176,\n",
       "  0.6383390789454959,\n",
       "  0.57154396898418,\n",
       "  0.05176286264912004,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.2840096784455348,\n",
       "  0.5564328790988597,\n",
       "  nan,\n",
       "  0.0879183018450527,\n",
       "  0.14415409075430363,\n",
       "  0.14415409075430363,\n",
       "  0.7000768028809305,\n",
       "  0.649953519236447,\n",
       "  0.28915122295692475,\n",
       "  0.640420237782076,\n",
       "  0.4397670089555058,\n",
       "  0.44506556136175707,\n",
       "  0.056900345470470876,\n",
       "  0.06231120864990656,\n",
       "  0.056900345470470876,\n",
       "  nan,\n",
       "  0.15054826247638692,\n",
       "  0.37011543772298755,\n",
       "  0.5564909640080387,\n",
       "  0.3764555667024883,\n",
       "  0.08047679499261996,\n",
       "  0.07992950726608365,\n",
       "  nan,\n",
       "  0.5639375430636034,\n",
       "  0.05399103067979464,\n",
       "  nan,\n",
       "  0.6046606853011183,\n",
       "  0.07082150028456126,\n",
       "  0.05922934836581205,\n",
       "  0.804161925495422,\n",
       "  nan,\n",
       "  0.5349940610099343,\n",
       "  nan,\n",
       "  0.05752143857383486,\n",
       "  0.14091605357744658,\n",
       "  0.03974410608720362,\n",
       "  0.8884210829142097,\n",
       "  0.21850979923040845,\n",
       "  0.04487447196813773,\n",
       "  0.02324977851640104,\n",
       "  0.041624441085687,\n",
       "  0.8097153560751877,\n",
       "  0.8295125797400611,\n",
       "  0.7048043586796882,\n",
       "  0.06422071825325039,\n",
       "  0.0783148206583607,\n",
       "  0.14277873867691257,\n",
       "  0.05764796139310356,\n",
       "  0.05453139121416279,\n",
       "  0.05453139121416279,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07721535248344376,\n",
       "  0.04619217674102297,\n",
       "  0.048260292137511346,\n",
       "  0.03283984096408931,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0889406720765378,\n",
       "  0.06767050459914872,\n",
       "  nan,\n",
       "  0.3749291108351448,\n",
       "  0.2345973678880672,\n",
       "  nan,\n",
       "  0.036673478642629626,\n",
       "  0.03356933480764279,\n",
       "  nan,\n",
       "  0.15098997712862702,\n",
       "  nan,\n",
       "  0.032967675285129804,\n",
       "  nan,\n",
       "  0.22034749610022553,\n",
       "  0.8268255049646789,\n",
       "  0.3899180779956538,\n",
       "  0.3899180779956538,\n",
       "  nan,\n",
       "  0.7661359425677781,\n",
       "  0.04438419771488674,\n",
       "  0.1998849232150689,\n",
       "  0.08293843271492492,\n",
       "  0.073368507258559,\n",
       "  0.7249435602009915,\n",
       "  0.7671647629796331,\n",
       "  0.816558870330125,\n",
       "  0.526515431563869,\n",
       "  0.13575756574845585,\n",
       "  0.4448428405856206,\n",
       "  0.05440948475598849,\n",
       "  0.9261683200869316,\n",
       "  0.3412839069688899,\n",
       "  0.03593074660092729,\n",
       "  0.03478949092588245,\n",
       "  0.03198697215273704,\n",
       "  0.03340612876525244,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8647637316846031,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.11872882793285026,\n",
       "  0.03716752507158639,\n",
       "  nan,\n",
       "  0.05982084553350339,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8712512533429511,\n",
       "  0.030579527254524876,\n",
       "  0.2699557014607569,\n",
       "  nan,\n",
       "  0.554811138663459,\n",
       "  0.3006307483367629,\n",
       "  nan,\n",
       "  0.10059340078773364,\n",
       "  nan,\n",
       "  0.15324013252831853,\n",
       "  0.6291753180174352,\n",
       "  0.06306247194282218,\n",
       "  0.878337441328644,\n",
       "  nan,\n",
       "  0.04236557910656957,\n",
       "  nan,\n",
       "  0.25074200287858794,\n",
       "  0.25074200287858794,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.055573368434130146,\n",
       "  0.055573368434130146,\n",
       "  0.05202975250023466,\n",
       "  nan,\n",
       "  0.03455764723097568,\n",
       "  nan,\n",
       "  0.7965659584040565,\n",
       "  0.16341965698757738,\n",
       "  0.16341965698757738,\n",
       "  0.024899086588548197,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.048068916173104825,\n",
       "  0.19730627787652186,\n",
       "  0.8101466692104708,\n",
       "  0.9070754000413926,\n",
       "  nan,\n",
       "  0.03788663000610332,\n",
       "  0.08496000293550841,\n",
       "  0.05738924790873351,\n",
       "  0.8759777881610216,\n",
       "  nan,\n",
       "  0.054266376514093884,\n",
       "  0.24519755231798174,\n",
       "  0.06236150614594722,\n",
       "  0.05802753615091455,\n",
       "  nan,\n",
       "  0.7618631012680125,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.11243110841163065,\n",
       "  0.5327332860853402,\n",
       "  0.20443951442466873,\n",
       "  nan,\n",
       "  0.046070209909836395,\n",
       "  0.46034016170046904,\n",
       "  0.21356580988966326,\n",
       "  0.20155579153173986,\n",
       "  nan,\n",
       "  0.867176107548451,\n",
       "  0.21133257730337382,\n",
       "  0.05621367561588588,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.038281318842505865,\n",
       "  0.04257154684052344,\n",
       "  0.1472519507519449,\n",
       "  0.03277158270229717,\n",
       "  0.06796251343282325,\n",
       "  0.5814923115591238,\n",
       "  0.38994105616199287,\n",
       "  0.042288717504204515,\n",
       "  0.12069525620908204,\n",
       "  nan,\n",
       "  0.36577090336817186,\n",
       "  0.29077476575434624,\n",
       "  0.20203597902588594,\n",
       "  0.20203597902588594,\n",
       "  0.7708432372850734,\n",
       "  0.3855655074813755,\n",
       "  0.36766371195954084,\n",
       "  0.33291361894685334,\n",
       "  0.07744018195197071,\n",
       "  0.11662840437302319,\n",
       "  0.11662840437302319,\n",
       "  0.5451316218236962,\n",
       "  0.7358934938017392,\n",
       "  0.7358934938017392,\n",
       "  0.027408757140761502,\n",
       "  0.9102381646316229,\n",
       "  nan,\n",
       "  0.2101464166468331,\n",
       "  0.18029385703344858,\n",
       "  nan,\n",
       "  0.6082105449416525,\n",
       "  0.7533081553187082,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03068528422103778,\n",
       "  0.03068528422103778,\n",
       "  0.026564498296211894,\n",
       "  0.44582105847200953,\n",
       "  0.4045704859321668,\n",
       "  0.05384191378434834,\n",
       "  nan,\n",
       "  0.39982362101596036,\n",
       "  0.8282624406767395,\n",
       "  0.3791916258964287,\n",
       "  nan,\n",
       "  0.0392077285735126,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4526513329987564,\n",
       "  nan,\n",
       "  0.04318449946420661,\n",
       "  0.07529429653225482,\n",
       "  0.18689082323954367,\n",
       "  nan,\n",
       "  0.7674860926307424,\n",
       "  0.2002127462115161,\n",
       "  0.47304602696114384,\n",
       "  0.27256604028870046,\n",
       "  nan,\n",
       "  0.8861775031974316,\n",
       "  0.8365675568639621,\n",
       "  0.8365675568639621,\n",
       "  0.8818068675787357,\n",
       "  0.5588394608588578,\n",
       "  0.05067826470974494,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.027519108884002483,\n",
       "  0.03078860784193892,\n",
       "  0.030256669679213127,\n",
       "  0.12813105239338105,\n",
       "  0.42190284217984253,\n",
       "  nan,\n",
       "  0.8553458073770343,\n",
       "  0.022400434539164155,\n",
       "  0.05048024680836723,\n",
       "  nan,\n",
       "  0.11820531996871755,\n",
       "  nan,\n",
       "  0.5053408500931273,\n",
       "  0.6614219274679201,\n",
       "  0.8542429615976804,\n",
       "  0.10206988864777318,\n",
       "  0.10206988864777318,\n",
       "  0.06956257387092009,\n",
       "  0.7667266760140726,\n",
       "  0.6965174212851821,\n",
       "  0.02221442330642655,\n",
       "  0.04110814970004928,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04257859739160802,\n",
       "  0.04007560218072108,\n",
       "  0.08685477447630117,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03737763104296116,\n",
       "  0.8478941649896623,\n",
       "  0.1288025339364625,\n",
       "  0.34325212616928985,\n",
       "  0.03350598607064021,\n",
       "  nan,\n",
       "  0.06712525299743263,\n",
       "  nan,\n",
       "  0.05166665167908352,\n",
       "  0.15684313703584962,\n",
       "  0.036045596136408224,\n",
       "  nan,\n",
       "  0.8350914922806257,\n",
       "  nan,\n",
       "  0.04141476683326886,\n",
       "  nan,\n",
       "  0.057464798689732435,\n",
       "  0.2755509136592444,\n",
       "  0.04445452122346918,\n",
       "  0.04995583155462738,\n",
       "  0.03370419833155364,\n",
       "  0.22177682109926897,\n",
       "  0.12493052445492002,\n",
       "  0.023665219992496846,\n",
       "  nan,\n",
       "  0.6941828793667214,\n",
       "  0.042330779682512164,\n",
       "  0.042330779682512164,\n",
       "  0.23960794064199323,\n",
       "  0.27371877319863336,\n",
       "  0.819035722325236,\n",
       "  0.0775973858103328,\n",
       "  0.5779834677914854,\n",
       "  0.059442537803146345,\n",
       "  nan,\n",
       "  0.1259418477720915,\n",
       "  0.04239511420425134,\n",
       "  0.03584529614206286,\n",
       "  0.023540977973942234,\n",
       "  0.023657465553909775,\n",
       "  0.04848747303977246,\n",
       "  0.04848747303977246,\n",
       "  nan,\n",
       "  0.04114118655836094,\n",
       "  0.3557021949298388,\n",
       "  0.03921243481373662,\n",
       "  0.22300426837554746,\n",
       "  0.13981055545586066,\n",
       "  nan,\n",
       "  0.04290040699056588,\n",
       "  nan,\n",
       "  0.1283044586817058,\n",
       "  0.8886920347718106,\n",
       "  0.20801716220878824,\n",
       "  0.07475513558289316,\n",
       "  0.13706518959890218,\n",
       "  nan,\n",
       "  0.06679982544698143,\n",
       "  0.07399716314673019,\n",
       "  0.1311883326850448,\n",
       "  0.3709906440949227,\n",
       "  0.8890300928283111,\n",
       "  0.14019975840062454,\n",
       "  0.10640236469147235,\n",
       "  0.08981195252489733,\n",
       "  0.4845457211403154,\n",
       "  0.09749696241201518,\n",
       "  0.12405231275873595,\n",
       "  0.04904249475372529,\n",
       "  0.04484753790045541,\n",
       "  0.06004545818846579,\n",
       "  0.04836535827846734,\n",
       "  0.6388145489460152,\n",
       "  0.05141311045633274,\n",
       "  0.06314146658902518,\n",
       "  0.045255997009403144,\n",
       "  0.05241351145881221,\n",
       "  0.09076597861110089,\n",
       "  0.062087434503002345,\n",
       "  0.04668198097120731,\n",
       "  0.4349881675393218,\n",
       "  0.07868515891692078,\n",
       "  0.2723250910690266,\n",
       "  0.06680351110248074,\n",
       "  0.05031927312428852,\n",
       "  0.5443253746296488,\n",
       "  0.03915885681550599,\n",
       "  0.030828457993180108,\n",
       "  0.13938409759675052,\n",
       "  0.8731871610786056,\n",
       "  nan,\n",
       "  0.05825237248769535,\n",
       "  0.05825237248769535,\n",
       "  0.038670262102828604,\n",
       "  0.038670262102828604,\n",
       "  0.11690211076062298,\n",
       "  0.26927292200266195,\n",
       "  0.3345747298630583,\n",
       "  nan,\n",
       "  0.7607100244205299,\n",
       "  nan,\n",
       "  0.03150222529308424,\n",
       "  0.021924705880883293,\n",
       "  nan,\n",
       "  0.8627202072226826,\n",
       "  0.04113672029761231,\n",
       "  0.0559424055829498,\n",
       "  nan,\n",
       "  0.12440390514333112,\n",
       "  0.7642141774644992,\n",
       "  0.1443933093966678,\n",
       "  0.4741844522144032,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.08683077521974154,\n",
       "  0.9353133118015313,\n",
       "  0.5705826106581124,\n",
       "  0.5582023739369443,\n",
       "  0.40658868711196217,\n",
       "  nan,\n",
       "  0.5388440267921573,\n",
       "  nan,\n",
       "  0.8010455063017377,\n",
       "  0.04391345540036328,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3189462609374988,\n",
       "  0.06132230105028949,\n",
       "  0.19564701499231663,\n",
       "  0.3189462609374988,\n",
       "  0.7470013881713773,\n",
       "  0.5126805200745008,\n",
       "  0.11580587250303025,\n",
       "  0.26117380771902093,\n",
       "  0.4405131509634521,\n",
       "  nan,\n",
       "  0.17291614832269236,\n",
       "  0.5333093619158453,\n",
       "  nan,\n",
       "  0.2505577275139761,\n",
       "  0.18570188697228843,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.24739323248432088,\n",
       "  0.18071549816204258,\n",
       "  0.02058584582791804,\n",
       "  0.02314653246629975,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6668741753104287,\n",
       "  0.9401987763865932,\n",
       "  0.10993120219974144,\n",
       "  0.042005906914513676,\n",
       "  0.02944219523788284,\n",
       "  0.030847245372440876,\n",
       "  0.0508497916734789,\n",
       "  0.0377479361600648,\n",
       "  nan,\n",
       "  0.03557461974751651,\n",
       "  0.1960921920064153,\n",
       "  0.09971223046540166,\n",
       "  0.08331396016371204,\n",
       "  nan,\n",
       "  0.10440366379044239,\n",
       "  nan,\n",
       "  0.7482588590264975,\n",
       "  0.18180895997208174,\n",
       "  0.14343768104290833,\n",
       "  nan,\n",
       "  0.9151336064776524,\n",
       "  0.03391110198965512,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0673473279933291,\n",
       "  0.03967506458849057,\n",
       "  nan,\n",
       "  0.46456634077823944,\n",
       "  0.029128848984459933,\n",
       "  0.13254335882557333,\n",
       "  nan,\n",
       "  0.030698784030072947,\n",
       "  0.1313280469522629,\n",
       "  nan,\n",
       "  0.03753392859318432,\n",
       "  0.03311705958285754,\n",
       "  0.11927752137486215,\n",
       "  0.6021744925807108,\n",
       "  nan,\n",
       "  0.05032584286175571,\n",
       "  nan,\n",
       "  0.06601416573834681,\n",
       "  nan,\n",
       "  0.040103180231110765,\n",
       "  0.049778790402237344,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03461540687877781,\n",
       "  0.09082309353202936,\n",
       "  0.7947895818827118,\n",
       "  nan,\n",
       "  0.03996044342336744,\n",
       "  0.07508224250051805,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8037176509002489,\n",
       "  0.03615026042615204,\n",
       "  nan,\n",
       "  0.05172159737344676,\n",
       "  0.13244283244049987,\n",
       "  0.14772820193256916,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.02630690418973386,\n",
       "  0.2111204411377458,\n",
       "  0.2341843697234411,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6598294593813185,\n",
       "  0.054356408059053674,\n",
       "  0.08024320379132113,\n",
       "  0.23863749717789132,\n",
       "  0.23863749717789132,\n",
       "  nan,\n",
       "  0.12116954287145001,\n",
       "  nan,\n",
       "  0.05477480486189492,\n",
       "  0.2301500559929431,\n",
       "  0.03813849950055141,\n",
       "  0.03455595427508035,\n",
       "  0.058010379471006235,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7944208219290091,\n",
       "  0.05093592325206747,\n",
       "  0.03228216507548596,\n",
       "  0.03200117855956604,\n",
       "  0.0399985328964441,\n",
       "  nan,\n",
       "  0.9120501951417626,\n",
       "  0.06100465239424983,\n",
       "  0.031036182241388977,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04301413456657624,\n",
       "  0.4133358013245031,\n",
       "  0.5751753793633276,\n",
       "  0.6706316264693701,\n",
       "  0.2136041859436015,\n",
       "  0.6706316264693701,\n",
       "  nan,\n",
       "  0.05821248634649416,\n",
       "  0.40582368533406404,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.026232210240793134,\n",
       "  0.046927398734912945,\n",
       "  0.040389503998520586,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.12801440769561911,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.32432894368757065,\n",
       "  0.03361212555126251,\n",
       "  0.07009823946385363,\n",
       "  0.12772038435707206,\n",
       "  0.555924330114796,\n",
       "  0.20353385467813703,\n",
       "  0.11446903704635748,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5723271344673602,\n",
       "  0.22062452738926783,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04026769768764633,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0499867266368438,\n",
       "  nan,\n",
       "  0.9394380848509952,\n",
       "  0.05517664206912847,\n",
       "  0.03066328476386592,\n",
       "  0.4642873607969354,\n",
       "  nan,\n",
       "  0.07123836273216604,\n",
       "  nan,\n",
       "  0.07192095960868827,\n",
       "  0.04466050910170829,\n",
       "  0.024741024842213997,\n",
       "  nan,\n",
       "  0.03682119744950214,\n",
       "  0.19375975851385774,\n",
       "  0.1784106948714469,\n",
       "  0.07390284687454596,\n",
       "  0.7670429324296134,\n",
       "  nan,\n",
       "  0.9022024711989515,\n",
       "  nan,\n",
       "  0.06827026825593244,\n",
       "  0.03553318825254873,\n",
       "  0.03553318825254873,\n",
       "  0.03903062977412637,\n",
       "  nan,\n",
       "  0.1717474813489005,\n",
       "  0.7739719457371435,\n",
       "  0.12315435569765258,\n",
       "  0.6265744884243928,\n",
       "  0.8349285796944618,\n",
       "  0.03781535044054207,\n",
       "  0.8953169160699518,\n",
       "  nan,\n",
       "  0.20246454949167916,\n",
       "  0.8195410089262255,\n",
       "  0.21829705888555392,\n",
       "  0.21829705888555392,\n",
       "  0.06329708267280623,\n",
       "  0.7574373564672997,\n",
       "  0.695847896709437,\n",
       "  0.6756247950987642,\n",
       "  0.03289937683655188,\n",
       "  0.040874697967563746,\n",
       "  0.05327436182686706,\n",
       "  0.03680068839680233,\n",
       "  0.035607387134691,\n",
       "  0.5439979977104817,\n",
       "  nan,\n",
       "  0.09634728334358221,\n",
       "  0.906619506095998,\n",
       "  0.8958864076541025,\n",
       "  0.9000685756740668,\n",
       "  0.6056594179997922,\n",
       "  0.5412112574210973,\n",
       "  0.5649447847630377,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1474557375448717,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7492169716693206,\n",
       "  nan,\n",
       "  0.050007805894880845,\n",
       "  0.6451201285591499,\n",
       "  nan,\n",
       "  0.8315131523900177,\n",
       "  0.7127164137053099,\n",
       "  0.02929495899638665,\n",
       "  nan,\n",
       "  0.047396199918234475,\n",
       "  0.04732308171975805,\n",
       "  0.04526902263670032,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.032540050058687375,\n",
       "  0.06660366797876376,\n",
       "  0.07170693751305428,\n",
       "  0.5495060342163359,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7992215243549741,\n",
       "  0.04412208719320596,\n",
       "  0.9169265100946701,\n",
       "  0.6629904097682154,\n",
       "  0.06330634142699057,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.752295613848645,\n",
       "  0.9231349502069544,\n",
       "  0.8256854521370203,\n",
       "  0.7569076897730405,\n",
       "  0.6158899413600519,\n",
       "  0.06657371562823466,\n",
       "  0.7293148648551121,\n",
       "  nan,\n",
       "  0.18322733755023715,\n",
       "  0.15343488647974057,\n",
       "  0.15343488647974057,\n",
       "  nan,\n",
       "  0.44350659522529884,\n",
       "  0.7083958164735049,\n",
       "  0.05067477802510278,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.43408485172726957,\n",
       "  nan,\n",
       "  0.16924711409439175,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09233046529645259,\n",
       "  0.06785707948675676,\n",
       "  0.05441717382595308,\n",
       "  0.06172605534454159,\n",
       "  0.03585777598496253,\n",
       "  0.5584476125704008,\n",
       "  0.6028841082134209,\n",
       "  0.03057751746176529,\n",
       "  nan,\n",
       "  ...],\n",
       " 1: [0.8191234228838977,\n",
       "  nan,\n",
       "  0.14166998566044062,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07996067398943171,\n",
       "  0.038061483641613776,\n",
       "  0.05587770785689146,\n",
       "  0.12356497970056192,\n",
       "  0.8950101353062916,\n",
       "  nan,\n",
       "  0.7240276744606594,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4297221925506373,\n",
       "  0.061882442009304005,\n",
       "  0.27296267852074557,\n",
       "  nan,\n",
       "  0.06604044156353485,\n",
       "  0.6860262734231461,\n",
       "  0.8080384687807219,\n",
       "  0.8823350494256446,\n",
       "  0.8464944107563128,\n",
       "  nan,\n",
       "  0.11875938156781855,\n",
       "  nan,\n",
       "  0.03746777176049726,\n",
       "  0.7931599963772668,\n",
       "  nan,\n",
       "  0.07355032794501734,\n",
       "  nan,\n",
       "  0.21082762474461192,\n",
       "  nan,\n",
       "  0.7815109044958048,\n",
       "  nan,\n",
       "  0.07564817265624989,\n",
       "  0.6661612744443884,\n",
       "  nan,\n",
       "  0.08973113227653681,\n",
       "  0.03748037119050092,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.030281308047651972,\n",
       "  0.045849689173160194,\n",
       "  0.045849689173160194,\n",
       "  nan,\n",
       "  0.7701678544302082,\n",
       "  0.279054037517739,\n",
       "  0.6730969702814593,\n",
       "  0.8339697743549922,\n",
       "  0.6586155680056629,\n",
       "  0.32796174687758906,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8603563379822795,\n",
       "  0.549325286214354,\n",
       "  nan,\n",
       "  0.5114200779985532,\n",
       "  0.0797770778381486,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03486420974546542,\n",
       "  nan,\n",
       "  0.48016244631365385,\n",
       "  0.9755168502796574,\n",
       "  0.5333598779594358,\n",
       "  0.21987625632761537,\n",
       "  0.7778298877276482,\n",
       "  0.7075290527682924,\n",
       "  0.0492907579356375,\n",
       "  0.14217773708426346,\n",
       "  0.10344363629322201,\n",
       "  0.03544109109760064,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0332114350460037,\n",
       "  0.0332114350460037,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.17123144868314832,\n",
       "  0.029579491273164886,\n",
       "  0.9288660220405612,\n",
       "  nan,\n",
       "  0.12369652895858559,\n",
       "  0.20979802028197725,\n",
       "  0.16556570669003678,\n",
       "  0.16556570669003678,\n",
       "  0.4842298478269871,\n",
       "  0.5918890120546956,\n",
       "  0.029740782311005375,\n",
       "  nan,\n",
       "  0.07150717824705251,\n",
       "  0.1426011850744233,\n",
       "  0.8359227024619169,\n",
       "  0.8519405315546331,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.37698392978580336,\n",
       "  0.4225716731003279,\n",
       "  0.3222491415886875,\n",
       "  nan,\n",
       "  0.8780936666149278,\n",
       "  0.8780936666149278,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03699505575985246,\n",
       "  nan,\n",
       "  0.03165737985459681,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.23139210862556261,\n",
       "  0.9074922533526506,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09316542456708977,\n",
       "  0.29377525322363696,\n",
       "  0.7362289235513242,\n",
       "  0.12908492546564554,\n",
       "  0.8424276885140733,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6066746427514488,\n",
       "  0.13738131781217006,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5310722149549196,\n",
       "  0.8866864012836246,\n",
       "  0.18115043424815178,\n",
       "  0.5027583249833035,\n",
       "  0.4271763681531988,\n",
       "  0.6396615220495215,\n",
       "  0.38890800529732367,\n",
       "  0.033402392512661826,\n",
       "  0.27963977108857524,\n",
       "  0.8459440362459848,\n",
       "  0.8957803356255918,\n",
       "  0.07953339446346176,\n",
       "  nan,\n",
       "  0.48532184165976844,\n",
       "  0.4973030290200749,\n",
       "  0.6234026611818291,\n",
       "  0.6204278347785585,\n",
       "  nan,\n",
       "  0.3938654016314849,\n",
       "  0.8863484817466865,\n",
       "  0.7163850142805299,\n",
       "  0.8302752015935452,\n",
       "  nan,\n",
       "  0.3086152284933824,\n",
       "  nan,\n",
       "  0.07509683773196899,\n",
       "  nan,\n",
       "  0.364397705337797,\n",
       "  0.2138920173376844,\n",
       "  nan,\n",
       "  0.8108723485308893,\n",
       "  0.077858291924525,\n",
       "  0.8132923902122201,\n",
       "  0.09353703296058534,\n",
       "  0.5526645590697472,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7851747102649033,\n",
       "  nan,\n",
       "  0.6926996725010368,\n",
       "  0.7981240942993105,\n",
       "  0.5033155541287258,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4175611757535355,\n",
       "  0.03811298752892959,\n",
       "  0.736459084540564,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0625635045721877,\n",
       "  nan,\n",
       "  0.8080893670771251,\n",
       "  0.616314707170943,\n",
       "  0.8015284804558239,\n",
       "  0.6867874330228695,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06662088125398799,\n",
       "  0.2358911663293597,\n",
       "  0.2564623711688554,\n",
       "  0.9132683936665632,\n",
       "  0.8913962935390378,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6414905180744445,\n",
       "  0.10654314063440933,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.29592991834899457,\n",
       "  0.1412792332600516,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4542756387554371,\n",
       "  0.7908022227564697,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6863247359274386,\n",
       "  0.6822916722150925,\n",
       "  0.7852447780023457,\n",
       "  0.07636467364578231,\n",
       "  0.6667132170357353,\n",
       "  0.7723243528717799,\n",
       "  nan,\n",
       "  0.2085423935350804,\n",
       "  0.699108886429014,\n",
       "  0.8429713273334012,\n",
       "  0.7109437353632807,\n",
       "  0.5913829054704749,\n",
       "  0.38215977440777027,\n",
       "  0.29718124479786917,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6179307911039702,\n",
       "  nan,\n",
       "  0.5391249662872515,\n",
       "  0.4845122558567876,\n",
       "  0.06477774669038996,\n",
       "  0.04008280362874368,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0337020780710071,\n",
       "  0.023701654242152766,\n",
       "  0.8247844930877485,\n",
       "  0.14879470077656193,\n",
       "  nan,\n",
       "  0.22551843050745068,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3054278279490893,\n",
       "  0.7877545543266962,\n",
       "  nan,\n",
       "  0.0960573090406879,\n",
       "  0.7113384579852622,\n",
       "  0.306450452227168,\n",
       "  0.8250051815604325,\n",
       "  0.8149818492515284,\n",
       "  0.07385636427980125,\n",
       "  0.08961522452918044,\n",
       "  0.8539663148504562,\n",
       "  0.8144683906353459,\n",
       "  0.8097416614548848,\n",
       "  0.654571423944535,\n",
       "  nan,\n",
       "  0.019970511784664774,\n",
       "  0.6521657890004144,\n",
       "  0.2811115184472688,\n",
       "  0.22542978428012145,\n",
       "  0.6718906654943728,\n",
       "  0.7428414514486766,\n",
       "  nan,\n",
       "  0.8450542323158139,\n",
       "  0.10332887739594247,\n",
       "  0.12139823492666246,\n",
       "  0.027539841836713586,\n",
       "  0.25455961244174896,\n",
       "  0.033615428687224065,\n",
       "  0.12807004096647348,\n",
       "  0.09454428537105995,\n",
       "  0.7824546711740831,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8742759737686251,\n",
       "  nan,\n",
       "  0.8803087184104309,\n",
       "  0.46356434571693433,\n",
       "  0.37067302367697536,\n",
       "  0.6077237887957823,\n",
       "  0.03645904432375766,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7012452850444373,\n",
       "  0.7494365367342706,\n",
       "  nan,\n",
       "  0.04697890616464532,\n",
       "  0.04697890616464532,\n",
       "  0.02905520500942619,\n",
       "  0.04348763373751136,\n",
       "  0.03354916046194646,\n",
       "  0.10065267743627257,\n",
       "  0.7164104004455022,\n",
       "  0.2170999180360104,\n",
       "  0.3779615849715179,\n",
       "  0.40380404493925875,\n",
       "  0.40642988312881784,\n",
       "  0.40642988312881784,\n",
       "  nan,\n",
       "  0.3747931938120847,\n",
       "  nan,\n",
       "  0.37510326879048084,\n",
       "  0.12336214151641882,\n",
       "  0.05221115116547035,\n",
       "  0.06992055904831815,\n",
       "  0.6703204708844658,\n",
       "  nan,\n",
       "  0.04867075146850804,\n",
       "  0.06302827223360673,\n",
       "  0.0762705063569572,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.18348277279243913,\n",
       "  nan,\n",
       "  0.03838096983356847,\n",
       "  nan,\n",
       "  0.3646620252069537,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6977151560078517,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7268984235409779,\n",
       "  0.7671334946812929,\n",
       "  0.23850951664683312,\n",
       "  nan,\n",
       "  0.9174583627897346,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06068272381132459,\n",
       "  0.11930436023867205,\n",
       "  nan,\n",
       "  0.49024274103777,\n",
       "  0.28890930692586303,\n",
       "  0.794785616978942,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3352155594132553,\n",
       "  0.0404325556012203,\n",
       "  0.04708183909106595,\n",
       "  nan,\n",
       "  0.08224297917672387,\n",
       "  0.05464395192466884,\n",
       "  0.04709826160881265,\n",
       "  0.12352741671783038,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.16140808629168688,\n",
       "  0.5457274861004746,\n",
       "  0.7915891118563755,\n",
       "  0.03285971499482669,\n",
       "  0.6566524005225163,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8000565695755104,\n",
       "  nan,\n",
       "  0.0399103130703084,\n",
       "  nan,\n",
       "  0.8467094424416637,\n",
       "  0.9254846017177142,\n",
       "  0.025316414981019428,\n",
       "  0.35000586320659804,\n",
       "  nan,\n",
       "  0.040784243832721126,\n",
       "  0.1518798828092089,\n",
       "  0.036557953153499426,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06979875153050688,\n",
       "  0.7088670821262488,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7634143924806213,\n",
       "  0.6600858711609718,\n",
       "  0.35867822626421975,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7971407282388262,\n",
       "  nan,\n",
       "  0.10573505104339116,\n",
       "  0.7817511839300479,\n",
       "  0.24525557826598185,\n",
       "  0.17101821833942593,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8946757161630806,\n",
       "  nan,\n",
       "  0.24628010859370963,\n",
       "  nan,\n",
       "  0.11156587906447274,\n",
       "  nan,\n",
       "  0.05674597225208109,\n",
       "  nan,\n",
       "  0.053373045765177624,\n",
       "  0.05137070712189644,\n",
       "  0.6598665496746131,\n",
       "  0.054560505173290814,\n",
       "  0.680862204760431,\n",
       "  0.03296353944544628,\n",
       "  0.03166005224470769,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.033311299630410254,\n",
       "  nan,\n",
       "  0.053780056905101126,\n",
       "  0.7099540193376033,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.39722220765327554,\n",
       "  0.6816210036113421,\n",
       "  0.7942993004461033,\n",
       "  0.07807223144405435,\n",
       "  0.8130798135916824,\n",
       "  nan,\n",
       "  0.7716560009934812,\n",
       "  0.539303030056569,\n",
       "  0.539303030056569,\n",
       "  nan,\n",
       "  0.5858137809740619,\n",
       "  nan,\n",
       "  0.0985949300208836,\n",
       "  0.7487791373235353,\n",
       "  0.033885741058335354,\n",
       "  0.024316345145476623,\n",
       "  0.6571305381484959,\n",
       "  nan,\n",
       "  0.7266321342542784,\n",
       "  nan,\n",
       "  0.2071031069251037,\n",
       "  0.16557371197316278,\n",
       "  0.132991194243491,\n",
       "  0.08319445191449253,\n",
       "  0.311909558058797,\n",
       "  0.49800391715645664,\n",
       "  0.26823221738196223,\n",
       "  0.26823221738196223,\n",
       "  0.8437003705547451,\n",
       "  nan,\n",
       "  0.6355108844267371,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7580999940983707,\n",
       "  nan,\n",
       "  0.1270908208414768,\n",
       "  nan,\n",
       "  0.5108949446192064,\n",
       "  0.6247679158629954,\n",
       "  nan,\n",
       "  0.03155929818570633,\n",
       "  0.039693819700111654,\n",
       "  0.9169968892797997,\n",
       "  0.29962820806971613,\n",
       "  nan,\n",
       "  0.7598066947433773,\n",
       "  0.5909614549972977,\n",
       "  0.34386456075867966,\n",
       "  0.6767402286734261,\n",
       "  0.6777221612316293,\n",
       "  nan,\n",
       "  0.3750965545331954,\n",
       "  0.051127241160854854,\n",
       "  0.499268267358238,\n",
       "  nan,\n",
       "  0.3071298893014987,\n",
       "  0.22924996574658563,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.880226431825568,\n",
       "  0.7102592374792976,\n",
       "  0.2577510311238794,\n",
       "  0.6836470603273026,\n",
       "  0.7317652276800506,\n",
       "  0.5835582237883945,\n",
       "  0.31807665962290954,\n",
       "  nan,\n",
       "  0.12095141301738398,\n",
       "  0.8535395920919178,\n",
       "  0.4887411487233675,\n",
       "  0.028692002154785855,\n",
       "  nan,\n",
       "  0.5304546555427757,\n",
       "  0.8956844447850427,\n",
       "  0.048997787473051446,\n",
       "  0.1812146988907119,\n",
       "  0.12290976881929325,\n",
       "  0.051657817609685235,\n",
       "  nan,\n",
       "  0.3434285961920155,\n",
       "  0.5844388663752065,\n",
       "  0.18815957076934847,\n",
       "  0.5342737292272064,\n",
       "  0.6705631924668877,\n",
       "  0.3075137262934611,\n",
       "  0.3075137262934611,\n",
       "  0.6127897380656737,\n",
       "  0.5379564698131138,\n",
       "  0.15082167067510271,\n",
       "  nan,\n",
       "  0.356723861302304,\n",
       "  0.04657665700121334,\n",
       "  0.8540446333382159,\n",
       "  0.8017182244523604,\n",
       "  0.026196242181166604,\n",
       "  0.03708029323408808,\n",
       "  0.04713874673674302,\n",
       "  0.08037391622939499,\n",
       "  0.046807757144572804,\n",
       "  nan,\n",
       "  0.6818514056032681,\n",
       "  0.11075219876300244,\n",
       "  0.07327024046727655,\n",
       "  0.06395757825015189,\n",
       "  0.10864817755427203,\n",
       "  0.06642986668350429,\n",
       "  nan,\n",
       "  0.19510998161398205,\n",
       "  0.07082850385954448,\n",
       "  0.0896433470315999,\n",
       "  0.6326473932914696,\n",
       "  nan,\n",
       "  0.15822178903068246,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7094517425496708,\n",
       "  nan,\n",
       "  0.16047806339891144,\n",
       "  nan,\n",
       "  0.809150877814571,\n",
       "  0.2985547528145686,\n",
       "  0.6493005784753008,\n",
       "  nan,\n",
       "  0.8876694701289111,\n",
       "  0.8564499049274037,\n",
       "  nan,\n",
       "  0.22967710642103237,\n",
       "  0.2714520119515741,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03217708467706558,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6587175798668596,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.582749874347015,\n",
       "  0.6405258627367889,\n",
       "  0.43299436847268263,\n",
       "  0.43730645603077517,\n",
       "  nan,\n",
       "  0.13766719558598467,\n",
       "  0.4307700556458761,\n",
       "  0.3135785039058682,\n",
       "  0.2734131181463853,\n",
       "  0.18958048068708616,\n",
       "  nan,\n",
       "  0.06179727475574814,\n",
       "  0.09507495165562944,\n",
       "  0.05613715899710273,\n",
       "  0.39231760713644426,\n",
       "  0.08359247549635301,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.12618990040451494,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.9328679272557951,\n",
       "  0.7796549168699354,\n",
       "  0.7583766559253916,\n",
       "  nan,\n",
       "  0.6129293449837141,\n",
       "  0.5520460567880786,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0343618199336193,\n",
       "  0.1460569857278042,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1301670575158662,\n",
       "  0.8405893128190722,\n",
       "  nan,\n",
       "  0.9442029347475154,\n",
       "  nan,\n",
       "  0.351122021519039,\n",
       "  0.8955048892671087,\n",
       "  0.7852654356391325,\n",
       "  0.058155660909443074,\n",
       "  nan,\n",
       "  0.06089931362934885,\n",
       "  0.07065068496326231,\n",
       "  nan,\n",
       "  0.10532733368198635,\n",
       "  0.1583423074296358,\n",
       "  0.041833395049668785,\n",
       "  0.10070631640055872,\n",
       "  0.3262023838078077,\n",
       "  nan,\n",
       "  0.13665363902098276,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6081605229959991,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6208633118859447,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.19114246582550307,\n",
       "  0.1851449111853064,\n",
       "  nan,\n",
       "  0.7807809193253916,\n",
       "  0.1712099179731607,\n",
       "  0.404819207115076,\n",
       "  0.3971239420398697,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7256651996155105,\n",
       "  0.7242894432946985,\n",
       "  nan,\n",
       "  0.6699301420943722,\n",
       "  nan,\n",
       "  0.2943124074620593,\n",
       "  0.046261372483513884,\n",
       "  0.04518582615883177,\n",
       "  0.0618487413373614,\n",
       "  nan,\n",
       "  0.04912805840147163,\n",
       "  0.2545160548595219,\n",
       "  0.25440901416933226,\n",
       "  0.11519201799498924,\n",
       "  0.11911258005808206,\n",
       "  0.04067639812322558,\n",
       "  0.310399934014062,\n",
       "  0.46909087710267333,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7261713899306623,\n",
       "  nan,\n",
       "  0.4960869833712744,\n",
       "  0.8769224179497771,\n",
       "  nan,\n",
       "  0.5082524087722473,\n",
       "  nan,\n",
       "  0.3335361118748888,\n",
       "  0.5467375003069833,\n",
       "  nan,\n",
       "  0.2021545747810686,\n",
       "  nan,\n",
       "  0.559654944603684,\n",
       "  0.32673247891585777,\n",
       "  0.3838004041414183,\n",
       "  nan,\n",
       "  0.4022014182325814,\n",
       "  0.28350865907698725,\n",
       "  0.7102103360927174,\n",
       "  0.15343839634381887,\n",
       "  0.13761755737600326,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.12547662188534736,\n",
       "  0.2557786578280217,\n",
       "  0.12067426490711208,\n",
       "  nan,\n",
       "  0.04943908604294718,\n",
       "  0.04943908604294718,\n",
       "  0.3900008945804009,\n",
       "  0.0720129774133474,\n",
       "  nan,\n",
       "  0.03734226597385353,\n",
       "  nan,\n",
       "  0.3367023826624591,\n",
       "  nan,\n",
       "  0.04278963861754973,\n",
       "  nan,\n",
       "  0.8838587160596031,\n",
       "  0.4059018890366132,\n",
       "  0.2851783821764848,\n",
       "  nan,\n",
       "  0.8792204369335246,\n",
       "  nan,\n",
       "  0.3776271973437036,\n",
       "  nan,\n",
       "  0.6940717083402298,\n",
       "  nan,\n",
       "  0.07445625155045554,\n",
       "  0.042962423618930906,\n",
       "  0.05808962070831421,\n",
       "  0.05808962070831421,\n",
       "  0.5575535648696196,\n",
       "  nan,\n",
       "  0.28688456317623523,\n",
       "  0.01358614582281098,\n",
       "  0.8873647066432124,\n",
       "  0.08809718959490806,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04507299585437698,\n",
       "  0.05131643330298019,\n",
       "  0.41163516796907806,\n",
       "  0.1526454319482509,\n",
       "  nan,\n",
       "  0.8729758020488432,\n",
       "  0.7417294985823656,\n",
       "  0.10523762806884485,\n",
       "  0.27783573084861346,\n",
       "  0.7488786220859218,\n",
       "  0.21969938434883543,\n",
       "  0.11895711300703633,\n",
       "  0.2913926910300506,\n",
       "  nan,\n",
       "  0.3208362163992707,\n",
       "  nan,\n",
       "  0.08012767801499146,\n",
       "  0.44082654101632845,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8984398840542225,\n",
       "  nan,\n",
       "  0.1799135454746088,\n",
       "  0.08798335284519188,\n",
       "  0.08790765558477394,\n",
       "  0.9222258801871905,\n",
       "  0.8913727962541393,\n",
       "  nan,\n",
       "  0.06657514307417331,\n",
       "  nan,\n",
       "  0.18822962259697804,\n",
       "  0.1480890105049856,\n",
       "  0.287610393597261,\n",
       "  0.7500021211230692,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.14408105964656703,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07302706569743397,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06672459219262894,\n",
       "  0.06374000044619497,\n",
       "  nan,\n",
       "  0.17668623483961077,\n",
       "  nan,\n",
       "  0.6997355618274006,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7946923025765733,\n",
       "  0.7220721051686672,\n",
       "  0.6105012636100396,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.060080346205849976,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.38582174338813474,\n",
       "  0.8347996747382614,\n",
       "  0.7852595836092755,\n",
       "  0.7852595836092755,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5470235112168874,\n",
       "  0.055611671326572895,\n",
       "  0.03707235388297822,\n",
       "  0.027066093300748623,\n",
       "  nan,\n",
       "  0.11151136637690154,\n",
       "  nan,\n",
       "  0.8111008122893062,\n",
       "  0.8111008122893062,\n",
       "  0.474281030052778,\n",
       "  0.670993198173327,\n",
       "  nan,\n",
       "  0.04050444272695917,\n",
       "  0.038620344295046106,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.11094679179132282,\n",
       "  nan,\n",
       "  0.049501327560475344,\n",
       "  0.06244316324792746,\n",
       "  0.039894778183464326,\n",
       "  0.4840617045117767,\n",
       "  0.14827677636461017,\n",
       "  0.21383966425910514,\n",
       "  0.1523786547802574,\n",
       "  nan,\n",
       "  0.0843789242946052,\n",
       "  0.7852585360203251,\n",
       "  0.10990621497240767,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7601193641211382,\n",
       "  0.10070881628709191,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.9368472107456314,\n",
       "  0.046657515439322395,\n",
       "  0.06990603242716457,\n",
       "  0.08881540370983905,\n",
       "  0.2164996743727134,\n",
       "  0.9026391069950318,\n",
       "  0.908593540547391,\n",
       "  nan,\n",
       "  0.05881972346968112,\n",
       "  0.6510832080722598,\n",
       "  nan,\n",
       "  0.8103371628587203,\n",
       "  0.07876098438980149,\n",
       "  0.03316301663458736,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06336186714008968,\n",
       "  0.06336186714008968,\n",
       "  0.06336186714008968,\n",
       "  nan,\n",
       "  0.028222385513726102,\n",
       "  0.026517597043440488,\n",
       "  nan,\n",
       "  0.29643817769242037,\n",
       "  nan,\n",
       "  0.766593768973996,\n",
       "  0.9119758777432712,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3652032122796543,\n",
       "  0.807336988197298,\n",
       "  0.8292326174461908,\n",
       "  0.7048039872658588,\n",
       "  0.6342901978741718,\n",
       "  0.17228166718868973,\n",
       "  0.08293138929364997,\n",
       "  0.8629416720681572,\n",
       "  0.4603728436154806,\n",
       "  0.12408648694644292,\n",
       "  0.40884292204274086,\n",
       "  0.050103948937839066,\n",
       "  nan,\n",
       "  0.17935779253396128,\n",
       "  0.22727123245787223,\n",
       "  0.08607299202440646,\n",
       "  nan,\n",
       "  0.08377972332772003,\n",
       "  0.04186520501688427,\n",
       "  nan,\n",
       "  0.8372679509032693,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5057186307219214,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.37567631184464667,\n",
       "  nan,\n",
       "  0.044556726078379384,\n",
       "  0.030822776684277103,\n",
       "  0.9025964408838063,\n",
       "  0.4838112278154353,\n",
       "  0.11585530836066849,\n",
       "  nan,\n",
       "  0.7487564259003175,\n",
       "  nan,\n",
       "  0.1829050142568067,\n",
       "  0.7809132119205291,\n",
       "  nan,\n",
       "  0.5979736968465456,\n",
       "  0.8297554051645593,\n",
       "  0.4403887721854303,\n",
       "  0.062050650954599364,\n",
       "  0.6987798983598927,\n",
       "  0.4922873161017407,\n",
       "  0.33010563706539664,\n",
       "  nan,\n",
       "  0.03880786185832089,\n",
       "  0.260635925496688,\n",
       "  0.06789970308026898,\n",
       "  0.24037913362954771,\n",
       "  0.6932418277731793,\n",
       "  0.18987732877402622,\n",
       "  0.6015469065071859,\n",
       "  0.4919072948261625,\n",
       "  0.43777744438504423,\n",
       "  0.5019956347682126,\n",
       "  0.034069018246067756,\n",
       "  0.6522686288900325,\n",
       "  0.15192523823614953,\n",
       "  0.4928289569432939,\n",
       "  0.04105723485350425,\n",
       "  0.052048498962462365,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7683682808085001,\n",
       "  0.7533987913777924,\n",
       "  0.7937493178704472,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.11971773109787225,\n",
       "  nan,\n",
       "  0.12871869169177189,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04023725204723161,\n",
       "  0.04232250618088714,\n",
       "  0.04232250618088714,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.058231544765670995,\n",
       "  nan,\n",
       "  0.5113756552359263,\n",
       "  0.5113756552359263,\n",
       "  0.8814304654077019,\n",
       "  0.6652138235668443,\n",
       "  nan,\n",
       "  0.7140883005743555,\n",
       "  0.4866680945577455,\n",
       "  0.5090307883583809,\n",
       "  0.7614124080556717,\n",
       "  0.7267342861341093,\n",
       "  0.7433345825951992,\n",
       "  0.054176513300910674,\n",
       "  0.047830884489459616,\n",
       "  0.055859624167613864,\n",
       "  0.049769672477252905,\n",
       "  0.1272548245343533,\n",
       "  nan,\n",
       "  0.38822300507242125,\n",
       "  nan,\n",
       "  0.27824731111934053,\n",
       "  0.2786881514638319,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.12815970288417733,\n",
       "  0.12317730456520608,\n",
       "  0.12166389899408568,\n",
       "  0.1174896726224209,\n",
       "  0.4508354624379121,\n",
       "  ...],\n",
       " 2: [0.11749259300721783,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.029765090306686746,\n",
       "  0.5569552791080287,\n",
       "  0.9330587758692024,\n",
       "  0.3442854962548798,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.08425775196262819,\n",
       "  nan,\n",
       "  0.10767841606656163,\n",
       "  0.13598633448405825,\n",
       "  0.89753742261249,\n",
       "  0.13632965969787497,\n",
       "  0.15596199743806205,\n",
       "  0.08332566008377157,\n",
       "  0.0774514367117888,\n",
       "  0.16542744925210018,\n",
       "  0.903628014609342,\n",
       "  0.8073652663493384,\n",
       "  0.8736159929503029,\n",
       "  0.2364293220267052,\n",
       "  nan,\n",
       "  0.3070446069823192,\n",
       "  0.15839434327648694,\n",
       "  0.0874118122182292,\n",
       "  0.430786703440778,\n",
       "  0.6997676597492348,\n",
       "  nan,\n",
       "  0.505076219676118,\n",
       "  0.26114887338224935,\n",
       "  0.43006657134980864,\n",
       "  nan,\n",
       "  0.04638440237065403,\n",
       "  nan,\n",
       "  0.04987525439015222,\n",
       "  0.03377156169128447,\n",
       "  nan,\n",
       "  0.03478731197010217,\n",
       "  0.25273888743211487,\n",
       "  0.5742989946062985,\n",
       "  0.045229176405930695,\n",
       "  0.3405638261110458,\n",
       "  0.5193893476413657,\n",
       "  0.7889238178906604,\n",
       "  0.688838007168357,\n",
       "  0.7149418160932337,\n",
       "  0.19047859044274096,\n",
       "  0.1826598898417639,\n",
       "  0.1398802062297052,\n",
       "  0.6290045795943738,\n",
       "  0.6273975890314578,\n",
       "  0.15693489728994178,\n",
       "  0.6993636623654815,\n",
       "  0.12721422572242827,\n",
       "  0.17623003583810032,\n",
       "  nan,\n",
       "  0.040319131521642036,\n",
       "  nan,\n",
       "  0.07003216854715776,\n",
       "  0.029978790395858674,\n",
       "  0.04684095386610096,\n",
       "  0.02891057698261402,\n",
       "  nan,\n",
       "  0.03846648393030975,\n",
       "  0.16194255229876156,\n",
       "  0.25534942398558114,\n",
       "  0.36568077847544866,\n",
       "  0.04159279445144395,\n",
       "  0.6611024264315772,\n",
       "  0.6611024264315772,\n",
       "  0.042574532503385804,\n",
       "  0.039492976190213754,\n",
       "  0.6485517854484136,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03845001300358695,\n",
       "  0.06866501388757061,\n",
       "  0.03444817643832792,\n",
       "  0.16394941489900677,\n",
       "  nan,\n",
       "  0.04135033781683132,\n",
       "  0.9354741504552962,\n",
       "  nan,\n",
       "  0.02730146690957795,\n",
       "  nan,\n",
       "  0.4637088644489604,\n",
       "  0.4444373018420784,\n",
       "  0.14655538251731695,\n",
       "  0.22915825830563621,\n",
       "  0.22915825830563621,\n",
       "  0.30949973468785585,\n",
       "  0.053448642990524674,\n",
       "  0.7848853357512432,\n",
       "  0.03654032743346445,\n",
       "  0.02314821666965254,\n",
       "  0.08547906484509998,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03985616463955321,\n",
       "  0.08010896705612956,\n",
       "  0.3617247895241395,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.028923626441386508,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05167367371617495,\n",
       "  0.08314043120343542,\n",
       "  0.10089052773054649,\n",
       "  0.026868919891428273,\n",
       "  0.03213028628943496,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03309147763641452,\n",
       "  0.03500005499338111,\n",
       "  0.31889997531197295,\n",
       "  0.11275644057992437,\n",
       "  0.1726622320230933,\n",
       "  0.056057982372228296,\n",
       "  0.0498365025196704,\n",
       "  0.03460371637873241,\n",
       "  0.6068391260451165,\n",
       "  nan,\n",
       "  0.05147277634631337,\n",
       "  nan,\n",
       "  0.9189489955200646,\n",
       "  nan,\n",
       "  0.19175755308561593,\n",
       "  0.5360182911113409,\n",
       "  0.25378088583747205,\n",
       "  0.3017569879966885,\n",
       "  0.040684045009816774,\n",
       "  0.1333172235226758,\n",
       "  nan,\n",
       "  0.14743774074071436,\n",
       "  0.048274060009174204,\n",
       "  0.04776827418631694,\n",
       "  0.04776827418631694,\n",
       "  0.04776827418631694,\n",
       "  0.0698023066574683,\n",
       "  0.2863963109006218,\n",
       "  0.02574628664736293,\n",
       "  0.029410013058782433,\n",
       "  0.07796329350165554,\n",
       "  0.08845914870653973,\n",
       "  0.07392831975199708,\n",
       "  0.06119369904819227,\n",
       "  nan,\n",
       "  0.22365555764579423,\n",
       "  0.22365555764579423,\n",
       "  0.3036838514348832,\n",
       "  0.29355349258847263,\n",
       "  0.38522685120358924,\n",
       "  0.9358270599130808,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0340363487833016,\n",
       "  0.04099844285306249,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.43834518044303117,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05540694343435475,\n",
       "  0.050006063462379874,\n",
       "  0.7376649359363153,\n",
       "  0.5274704785139729,\n",
       "  0.044013030391287705,\n",
       "  0.13703536435051122,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.19910779184748179,\n",
       "  0.23854100855862445,\n",
       "  0.14432683877914884,\n",
       "  0.5206710978166403,\n",
       "  0.034208681238175845,\n",
       "  0.6778837643832772,\n",
       "  0.043370715525534204,\n",
       "  0.08894178561051319,\n",
       "  0.2952893412846651,\n",
       "  nan,\n",
       "  0.5642001756873684,\n",
       "  0.6663001935415805,\n",
       "  0.5642001756873684,\n",
       "  0.5029004667846697,\n",
       "  0.050568118413290626,\n",
       "  0.042901955747535386,\n",
       "  nan,\n",
       "  0.30205692491146113,\n",
       "  0.48171094921782975,\n",
       "  0.2705171490907193,\n",
       "  0.0500096752474884,\n",
       "  nan,\n",
       "  0.3138978190012445,\n",
       "  0.02540433600109863,\n",
       "  0.06698146726689427,\n",
       "  0.5462224283629946,\n",
       "  0.14462240758236755,\n",
       "  0.03571955368653415,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03860578289046576,\n",
       "  0.3230861900406101,\n",
       "  0.135058631754213,\n",
       "  nan,\n",
       "  0.22563851095952545,\n",
       "  0.16420892434045792,\n",
       "  0.12118224830265523,\n",
       "  0.12216187010761599,\n",
       "  0.1142172524865481,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03900887175139694,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.2216421621309328,\n",
       "  0.2432064865617471,\n",
       "  nan,\n",
       "  0.04057960131606175,\n",
       "  nan,\n",
       "  0.047953806547588955,\n",
       "  nan,\n",
       "  0.3894759133588578,\n",
       "  0.705597009644037,\n",
       "  0.050800213972213515,\n",
       "  0.040570417143052956,\n",
       "  0.0673222511591804,\n",
       "  0.7643542837337277,\n",
       "  0.8386149469163934,\n",
       "  0.09812772885109688,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07996845757111791,\n",
       "  0.07996845757111791,\n",
       "  0.05447032241644966,\n",
       "  nan,\n",
       "  0.06150307362023979,\n",
       "  0.048045075264047984,\n",
       "  0.05279827831316083,\n",
       "  0.028633389755682758,\n",
       "  0.5172670864997244,\n",
       "  0.03137218796384261,\n",
       "  0.02675060218499466,\n",
       "  0.028800675121635914,\n",
       "  0.23002790298487033,\n",
       "  0.06771187245031932,\n",
       "  0.19725954599658752,\n",
       "  0.19725954599658752,\n",
       "  0.8544466606768824,\n",
       "  0.16729262753518237,\n",
       "  nan,\n",
       "  0.02390789800337936,\n",
       "  0.8566884431646469,\n",
       "  0.6959600864510871,\n",
       "  0.7295658267145942,\n",
       "  0.6857154558266968,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.056516821690672216,\n",
       "  0.040643054372185745,\n",
       "  0.0381016224778573,\n",
       "  0.6398759060194528,\n",
       "  0.6787002342542756,\n",
       "  0.3248374318087745,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7621503786216887,\n",
       "  0.34038434466939094,\n",
       "  0.2676077458485762,\n",
       "  0.18828748006997545,\n",
       "  nan,\n",
       "  0.561010184261173,\n",
       "  0.561010184261173,\n",
       "  nan,\n",
       "  0.06389931144965351,\n",
       "  0.019671590437043536,\n",
       "  0.019671590437043536,\n",
       "  0.8519922576572867,\n",
       "  0.6353257284371417,\n",
       "  nan,\n",
       "  0.29499122917672305,\n",
       "  0.24088033597253228,\n",
       "  0.02949165951242875,\n",
       "  0.8532394088369228,\n",
       "  0.04644924584941738,\n",
       "  0.04024527785718151,\n",
       "  0.12073432661051567,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04452057082943808,\n",
       "  0.03653727126721624,\n",
       "  nan,\n",
       "  0.05196925617524134,\n",
       "  0.03452367468632985,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.035981622750822825,\n",
       "  0.5706615045240069,\n",
       "  0.06827346603939363,\n",
       "  0.08812967180429095,\n",
       "  0.03848915739204764,\n",
       "  0.03848915739204764,\n",
       "  0.13444280272488984,\n",
       "  nan,\n",
       "  0.07504879529697825,\n",
       "  0.2753718779302787,\n",
       "  0.17467586423246967,\n",
       "  0.2500186448488128,\n",
       "  0.15932795180718504,\n",
       "  0.07807087701648968,\n",
       "  0.0383118248159616,\n",
       "  0.07579345865914976,\n",
       "  0.10521970429914769,\n",
       "  0.03676177264337517,\n",
       "  0.033099954684024824,\n",
       "  0.060858015674544116,\n",
       "  0.16895204669447692,\n",
       "  0.060858015674544116,\n",
       "  0.4943875782008808,\n",
       "  0.24261000684678194,\n",
       "  0.18087484296142137,\n",
       "  0.08447614572174755,\n",
       "  0.17747452450951914,\n",
       "  0.8227815068771858,\n",
       "  0.03637419094760857,\n",
       "  0.16395568211201322,\n",
       "  nan,\n",
       "  0.03512169646423675,\n",
       "  0.03632665332603802,\n",
       "  0.22707788267840182,\n",
       "  0.673637481630277,\n",
       "  0.8333876486252355,\n",
       "  0.5153390971336922,\n",
       "  0.0541808799782459,\n",
       "  nan,\n",
       "  0.08126236697019877,\n",
       "  0.08126236697019877,\n",
       "  0.5656610452964934,\n",
       "  0.6246241986341041,\n",
       "  0.07860077826775094,\n",
       "  0.053713555457569284,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.035066086716824665,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.045515570176096046,\n",
       "  0.03827123402568438,\n",
       "  0.03827123402568438,\n",
       "  0.03195931501902817,\n",
       "  0.03195931501902817,\n",
       "  0.054334937038338076,\n",
       "  0.7668908907532714,\n",
       "  0.020566779962679676,\n",
       "  0.047710367535752654,\n",
       "  0.04054335477651067,\n",
       "  0.04054335477651067,\n",
       "  0.07595427510155203,\n",
       "  0.02831182200775701,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6598214233961089,\n",
       "  0.2229528677348554,\n",
       "  0.4117979637023096,\n",
       "  0.4117979637023096,\n",
       "  0.4117979637023096,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7814812145798832,\n",
       "  0.025001791010748606,\n",
       "  0.8529473659975172,\n",
       "  0.10655430230609331,\n",
       "  0.06560602364324955,\n",
       "  0.04265881276995677,\n",
       "  0.4713547789062496,\n",
       "  0.06051481996822473,\n",
       "  0.04784724593936771,\n",
       "  0.04784724593936771,\n",
       "  0.7416817656249998,\n",
       "  0.059365134773058416,\n",
       "  0.4087959805670522,\n",
       "  0.05873689285329875,\n",
       "  0.13023338986883884,\n",
       "  0.13081848172719487,\n",
       "  0.06189299233044392,\n",
       "  0.12076645197965247,\n",
       "  0.7394086616963307,\n",
       "  0.12525669476987517,\n",
       "  0.0410928219982308,\n",
       "  0.11797676378822741,\n",
       "  0.5735390560616734,\n",
       "  nan,\n",
       "  0.03590364930413804,\n",
       "  0.8734604436051302,\n",
       "  0.12308052840678417,\n",
       "  0.0806964939084766,\n",
       "  0.9759383929997963,\n",
       "  0.8350806478477458,\n",
       "  0.8571683403249911,\n",
       "  nan,\n",
       "  0.05618578101552686,\n",
       "  nan,\n",
       "  0.3572926890705859,\n",
       "  0.05187613764142726,\n",
       "  0.05187613764142726,\n",
       "  0.04021348024937917,\n",
       "  0.04021348024937917,\n",
       "  0.04814486901864826,\n",
       "  0.10004636029323223,\n",
       "  0.10004636029323223,\n",
       "  0.0488108809675741,\n",
       "  0.04792144451699,\n",
       "  nan,\n",
       "  0.8025649734064549,\n",
       "  0.8356315888330497,\n",
       "  0.0493104831821904,\n",
       "  0.10598814916687793,\n",
       "  0.03854645072398958,\n",
       "  0.03854645072398958,\n",
       "  0.7431257717108353,\n",
       "  nan,\n",
       "  0.7392504023232933,\n",
       "  nan,\n",
       "  0.34014334162420296,\n",
       "  0.31160473707534087,\n",
       "  0.04871901227781665,\n",
       "  nan,\n",
       "  0.04344065516983716,\n",
       "  0.03862577455373704,\n",
       "  0.8745475768108453,\n",
       "  0.8745475768108453,\n",
       "  0.09970147376034737,\n",
       "  0.1453098445597752,\n",
       "  0.8463736060637411,\n",
       "  0.6568630466375797,\n",
       "  0.6893440509715815,\n",
       "  0.6999059854092199,\n",
       "  0.687386932990586,\n",
       "  0.05189765163949874,\n",
       "  nan,\n",
       "  0.03903784975533844,\n",
       "  0.04732897366027211,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09461097560615464,\n",
       "  nan,\n",
       "  0.05060175464914052,\n",
       "  0.05060175464914052,\n",
       "  0.04611570796122276,\n",
       "  0.03677368779979592,\n",
       "  0.7974051105856779,\n",
       "  0.04018526535756308,\n",
       "  0.6861563010761625,\n",
       "  0.044406926092331975,\n",
       "  0.04355189983193174,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.10728223463684575,\n",
       "  0.19241520299676987,\n",
       "  nan,\n",
       "  0.47157331374251205,\n",
       "  nan,\n",
       "  0.22733147140816773,\n",
       "  0.42307598288881443,\n",
       "  0.029060078691495034,\n",
       "  nan,\n",
       "  0.043761769760698656,\n",
       "  0.13380698548261108,\n",
       "  0.17674882559079533,\n",
       "  0.628274454106802,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.10956779213691879,\n",
       "  0.09002098590960082,\n",
       "  0.04084383108407232,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.033709861047293774,\n",
       "  nan,\n",
       "  0.0627955847756269,\n",
       "  nan,\n",
       "  0.03540935569019041,\n",
       "  0.030637197494488722,\n",
       "  0.033888360138553966,\n",
       "  0.08477353176881762,\n",
       "  0.08477353176881762,\n",
       "  nan,\n",
       "  0.19486824363682337,\n",
       "  nan,\n",
       "  0.3171033284783319,\n",
       "  0.061193265949078826,\n",
       "  0.03295009806869087,\n",
       "  0.03295009806869087,\n",
       "  0.03792314372509276,\n",
       "  nan,\n",
       "  0.059618117339347666,\n",
       "  0.8922464271221519,\n",
       "  0.7373614229638845,\n",
       "  0.1891519981612788,\n",
       "  0.11303914317325976,\n",
       "  0.6724774273520583,\n",
       "  nan,\n",
       "  0.033129106993080616,\n",
       "  0.034610438430313355,\n",
       "  0.034610438430313355,\n",
       "  0.040079071739679416,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06197852102356544,\n",
       "  0.05506111676736276,\n",
       "  nan,\n",
       "  0.036964582379847566,\n",
       "  nan,\n",
       "  0.03979798419391564,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0350448407896327,\n",
       "  0.0350448407896327,\n",
       "  0.41667209577862047,\n",
       "  0.6680013836872061,\n",
       "  0.07240233338098444,\n",
       "  nan,\n",
       "  0.034228824081509644,\n",
       "  0.7148734549518797,\n",
       "  0.4229256350981291,\n",
       "  0.3094368298069357,\n",
       "  0.0376769356367307,\n",
       "  0.04563015923583204,\n",
       "  0.14723441089795206,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.9605683613927991,\n",
       "  0.11508596986065128,\n",
       "  0.1078615991179092,\n",
       "  0.20443796198887712,\n",
       "  nan,\n",
       "  0.10316708011742035,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04054159616515312,\n",
       "  0.03570628552208096,\n",
       "  0.8486356801200468,\n",
       "  0.21519918561334492,\n",
       "  0.20710972400474337,\n",
       "  0.02398252014356925,\n",
       "  0.16999415202200457,\n",
       "  0.7453601767879939,\n",
       "  0.13900411825331144,\n",
       "  0.4319594394631036,\n",
       "  0.5856390300581182,\n",
       "  0.4841287134205252,\n",
       "  0.0408061033800968,\n",
       "  0.7460518345560846,\n",
       "  0.7306611067757646,\n",
       "  0.30403762153870006,\n",
       "  nan,\n",
       "  0.4034088171883846,\n",
       "  0.3566347760410482,\n",
       "  nan,\n",
       "  0.7357584045115877,\n",
       "  0.03071056937953143,\n",
       "  0.06769475683914843,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09267002921621724,\n",
       "  0.5215924938017364,\n",
       "  0.7997280434075446,\n",
       "  0.027060731063224285,\n",
       "  nan,\n",
       "  0.07083804376910723,\n",
       "  0.02731088177635682,\n",
       "  0.03484102309602647,\n",
       "  0.018927487376201497,\n",
       "  0.8508836567748181,\n",
       "  0.28608840830137416,\n",
       "  0.05490503076270331,\n",
       "  0.08190809317021108,\n",
       "  0.06449264358221032,\n",
       "  0.12205797699999225,\n",
       "  nan,\n",
       "  0.02462240439279217,\n",
       "  nan,\n",
       "  0.29344661771028585,\n",
       "  0.16753856660136177,\n",
       "  0.026561168912217294,\n",
       "  0.8613812550703637,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05465611607416071,\n",
       "  0.7261872481115483,\n",
       "  0.6512150620860924,\n",
       "  0.7755735666752899,\n",
       "  0.5233697612375856,\n",
       "  nan,\n",
       "  0.18774696370145375,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.14853973634693085,\n",
       "  0.44171794593336033,\n",
       "  0.06894750222817711,\n",
       "  0.4752381526947337,\n",
       "  0.46190243316448615,\n",
       "  0.46190243316448615,\n",
       "  0.46190243316448615,\n",
       "  0.4605389248756012,\n",
       "  0.7336798398204671,\n",
       "  0.5845624122620031,\n",
       "  0.0629475010011934,\n",
       "  0.19977529206850136,\n",
       "  0.7846004794017848,\n",
       "  0.3123300872167908,\n",
       "  0.3123300872167908,\n",
       "  nan,\n",
       "  0.037101569027586837,\n",
       "  0.03620715811439254,\n",
       "  nan,\n",
       "  0.7469955616158374,\n",
       "  0.10422922688550722,\n",
       "  0.11785391852426738,\n",
       "  0.13761235206075562,\n",
       "  0.07038864537391726,\n",
       "  0.048418740852062256,\n",
       "  0.5382266242280881,\n",
       "  nan,\n",
       "  0.029149114272207833,\n",
       "  0.46967912716667537,\n",
       "  nan,\n",
       "  0.3574732272586617,\n",
       "  nan,\n",
       "  0.7025239487964321,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03257423742177158,\n",
       "  0.08110601522354519,\n",
       "  0.03691913378914383,\n",
       "  0.7881580766556294,\n",
       "  0.04468295022045917,\n",
       "  0.04109272214403981,\n",
       "  0.0333672249735719,\n",
       "  0.08713155679534608,\n",
       "  0.19651773459069824,\n",
       "  0.44040750688961294,\n",
       "  0.33237440828366943,\n",
       "  0.2892026125923625,\n",
       "  nan,\n",
       "  0.02271094912802994,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04531531157900974,\n",
       "  0.039571064978476844,\n",
       "  nan,\n",
       "  0.047098514867268,\n",
       "  0.8648976962800083,\n",
       "  0.3418365807691391,\n",
       "  0.4897443041401893,\n",
       "  nan,\n",
       "  0.1275583012054626,\n",
       "  0.46690669779077065,\n",
       "  0.08727412732305449,\n",
       "  0.06170875399675052,\n",
       "  0.12431068568048641,\n",
       "  0.07055341246678026,\n",
       "  0.8646483591245859,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7409235580577481,\n",
       "  nan,\n",
       "  0.10000933880839896,\n",
       "  0.16557241440311574,\n",
       "  0.043323530845459896,\n",
       "  nan,\n",
       "  0.08225729860105105,\n",
       "  nan,\n",
       "  0.8827383309200799,\n",
       "  0.8194394524989678,\n",
       "  nan,\n",
       "  0.014817471383174675,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04101782764286254,\n",
       "  0.07203352918201579,\n",
       "  0.7238650247775245,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04034743522589374,\n",
       "  0.04883602722044589,\n",
       "  0.027629235476405764,\n",
       "  0.049380717827511696,\n",
       "  0.03508283791390731,\n",
       "  0.11020745098169928,\n",
       "  0.06793938366921073,\n",
       "  nan,\n",
       "  0.7790294135660745,\n",
       "  0.710403378311261,\n",
       "  0.7335157491415822,\n",
       "  0.7335157491415822,\n",
       "  0.040842561144051256,\n",
       "  0.07412831164544605,\n",
       "  0.07412831164544605,\n",
       "  0.04013055073883087,\n",
       "  0.46994865796839447,\n",
       "  0.46994865796839447,\n",
       "  nan,\n",
       "  0.033677199604431676,\n",
       "  0.03818867167449809,\n",
       "  0.06541775623997391,\n",
       "  0.11755257060430058,\n",
       "  0.1981191323527668,\n",
       "  0.3863668087589165,\n",
       "  0.40507021022908346,\n",
       "  0.051162109895008696,\n",
       "  nan,\n",
       "  0.0551217734379027,\n",
       "  nan,\n",
       "  0.05726985678123615,\n",
       "  0.05726985678123615,\n",
       "  0.05763898067694032,\n",
       "  nan,\n",
       "  0.17711357189168134,\n",
       "  0.03245937627578196,\n",
       "  0.04259162485083383,\n",
       "  0.5066140569770076,\n",
       "  0.04004302609148749,\n",
       "  0.5188527092396847,\n",
       "  0.22017779297354148,\n",
       "  0.05904827429506107,\n",
       "  0.735113354819338,\n",
       "  0.17254121718630558,\n",
       "  0.0395681042169732,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.207742719275522,\n",
       "  0.6081797254538287,\n",
       "  nan,\n",
       "  0.03241221124370745,\n",
       "  0.8352945183576229,\n",
       "  0.03909369996398376,\n",
       "  0.8584528775890621,\n",
       "  0.938306860358029,\n",
       "  nan,\n",
       "  0.1410711099606786,\n",
       "  0.06677464495809211,\n",
       "  0.1247733554946191,\n",
       "  nan,\n",
       "  0.02528459901130024,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07124375264686526,\n",
       "  0.04399950386488079,\n",
       "  0.04310189162579327,\n",
       "  0.05278966174416498,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.057560461953297413,\n",
       "  0.5224317713872398,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07490915219588273,\n",
       "  0.12912883565811173,\n",
       "  0.038656853712511687,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3557524640473928,\n",
       "  0.039913084552980094,\n",
       "  0.07283409774680968,\n",
       "  0.42114011151424596,\n",
       "  nan,\n",
       "  0.04193122530215304,\n",
       "  0.02654516248861759,\n",
       "  0.026809578797596812,\n",
       "  0.3129565919984915,\n",
       "  0.7949879803394044,\n",
       "  0.25652774038441717,\n",
       "  0.15684517067301315,\n",
       "  0.048364346811856515,\n",
       "  0.040665047635419706,\n",
       "  0.035205430881520346,\n",
       "  0.7277541435016533,\n",
       "  0.10669323068039932,\n",
       "  0.05900886039130171,\n",
       "  0.7844980021730134,\n",
       "  0.05133965928255269,\n",
       "  0.706084623570614,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7036203345267985,\n",
       "  nan,\n",
       "  0.16032425160142838,\n",
       "  nan,\n",
       "  0.045686345070938134,\n",
       "  0.045686345070938134,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.029291362368986485,\n",
       "  0.03372882748260406,\n",
       "  0.9392965658698156,\n",
       "  0.05971608031539719,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.026726598840578656,\n",
       "  0.1243982549754239,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3470343703521212,\n",
       "  0.3540364394194274,\n",
       "  0.7259210258539199,\n",
       "  0.03498239801328366,\n",
       "  0.9371960927152334,\n",
       "  0.047116258017360906,\n",
       "  0.7783131347628972,\n",
       "  0.4850186353282884,\n",
       "  0.37903427365195475,\n",
       "  0.09290206256612596,\n",
       "  0.9157632868269003,\n",
       "  0.0350142448377305,\n",
       "  0.05583006257394616,\n",
       "  nan,\n",
       "  0.03926079513192461,\n",
       "  0.04544053149138794,\n",
       "  0.10400208223003371,\n",
       "  0.09605482780630226,\n",
       "  0.04298796684671341,\n",
       "  0.14842747842953385,\n",
       "  0.09605482780630226,\n",
       "  nan,\n",
       "  0.7662079180256618,\n",
       "  0.7662079180256618,\n",
       "  0.7662079180256618,\n",
       "  0.038566496489016354,\n",
       "  0.03145884999683884,\n",
       "  0.06969715291554866,\n",
       "  0.04332341185544637,\n",
       "  0.035479126417632456,\n",
       "  0.2617809406391865,\n",
       "  0.03613276933837106,\n",
       "  0.16256462088471071,\n",
       "  0.5998291084230147,\n",
       "  0.5009552155008281,\n",
       "  nan,\n",
       "  0.3650621846558231,\n",
       "  0.8031102809292582,\n",
       "  0.037567899965645704,\n",
       "  0.03742486039528867,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7760888796503793,\n",
       "  nan,\n",
       "  0.039491028211575435,\n",
       "  0.543402244704265,\n",
       "  0.07185080640003683,\n",
       "  0.17022242273072788,\n",
       "  nan,\n",
       "  0.2343457443072232,\n",
       "  0.06217814318786849,\n",
       "  nan,\n",
       "  0.176536045356901,\n",
       "  0.19716114033135496,\n",
       "  0.02729514100739743,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.038020061206539835,\n",
       "  0.03229587324407457,\n",
       "  0.02546475880688922,\n",
       "  nan,\n",
       "  0.024335616965732686,\n",
       "  0.016592230575851737,\n",
       "  nan,\n",
       "  0.03201063121050092,\n",
       "  0.0336578365756003,\n",
       "  0.17128187001390097,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6642410490842305,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4054474903288467,\n",
       "  0.35937184029387403,\n",
       "  0.37301049083413595,\n",
       "  0.22761603785573806,\n",
       "  nan,\n",
       "  0.15384153921113233,\n",
       "  0.05221115793376054,\n",
       "  nan,\n",
       "  0.0327927428106926,\n",
       "  0.12600991823941854,\n",
       "  0.04443663160749523,\n",
       "  0.03659726836537086,\n",
       "  0.045681713106803454,\n",
       "  nan,\n",
       "  0.5517473687823407,\n",
       "  0.038750556352994896,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03153587934774417,\n",
       "  0.8891735533423004,\n",
       "  0.3114530653973503,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.046154540180314604,\n",
       "  nan,\n",
       "  0.906798962964425,\n",
       "  0.1711716460006208,\n",
       "  0.06634060837768029,\n",
       "  nan,\n",
       "  0.053159746365660454,\n",
       "  nan,\n",
       "  0.16504967210772406,\n",
       "  0.6604190865790581,\n",
       "  0.6604190865790581,\n",
       "  nan,\n",
       "  0.09255128801108854,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.9199632705918864,\n",
       "  0.4846683422785359,\n",
       "  0.7293688209126648,\n",
       "  0.029163762578325307,\n",
       "  0.04539011609121745,\n",
       "  0.04838052024070776,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.28772285149840565,\n",
       "  0.12676040245309644,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5227685747309612,\n",
       "  0.1052286909815694,\n",
       "  0.19481153211982621,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8471267350613957,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04679522271599197,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04895776405456386,\n",
       "  0.06858128037695806,\n",
       "  0.05796213394681486,\n",
       "  ...],\n",
       " 3: [nan,\n",
       "  0.10946127212655622,\n",
       "  0.026560553797935642,\n",
       "  nan,\n",
       "  0.6772863584540563,\n",
       "  0.03170803718207368,\n",
       "  0.3198898879324059,\n",
       "  0.3988328274191052,\n",
       "  0.5906332869619199,\n",
       "  0.03722684009866891,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7344802093483763,\n",
       "  0.0493262192184832,\n",
       "  0.05601116005966052,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.9264774137399376,\n",
       "  0.09071903401566939,\n",
       "  0.04593529619048027,\n",
       "  0.15667822701864642,\n",
       "  0.05385420044805466,\n",
       "  nan,\n",
       "  0.07534443578780155,\n",
       "  0.057611500755054376,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06654836643970771,\n",
       "  0.08091506940718765,\n",
       "  0.8618896673220193,\n",
       "  0.46494749817952424,\n",
       "  0.04439479120757457,\n",
       "  0.04502433675487477,\n",
       "  0.04399107086070201,\n",
       "  0.05245771400603682,\n",
       "  nan,\n",
       "  0.7984263874196745,\n",
       "  0.3745457721336917,\n",
       "  0.3584048837817326,\n",
       "  nan,\n",
       "  0.7697213020488392,\n",
       "  nan,\n",
       "  0.2865152335916878,\n",
       "  0.031326759922781694,\n",
       "  0.0433560225344591,\n",
       "  0.0433560225344591,\n",
       "  nan,\n",
       "  0.17125796542994587,\n",
       "  nan,\n",
       "  0.1002424595227087,\n",
       "  0.0924147780261424,\n",
       "  0.0847977996606181,\n",
       "  0.0847977996606181,\n",
       "  0.04187777313855842,\n",
       "  0.048228032534996655,\n",
       "  0.3278175388492188,\n",
       "  0.11755420175626725,\n",
       "  0.3945206162251662,\n",
       "  0.5979246100727901,\n",
       "  0.5979246100727901,\n",
       "  0.7811380370178632,\n",
       "  nan,\n",
       "  0.3991286807791808,\n",
       "  0.618733667021938,\n",
       "  0.10070887267625543,\n",
       "  0.04025478969819259,\n",
       "  0.7669589478476821,\n",
       "  0.7538361263633071,\n",
       "  0.6766845737737996,\n",
       "  0.03309582647667124,\n",
       "  0.8517655630691201,\n",
       "  0.05802414759264771,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06608254549811363,\n",
       "  0.8183187208764494,\n",
       "  0.028946155428386203,\n",
       "  0.028946155428386203,\n",
       "  0.8081526118152181,\n",
       "  0.8081526118152181,\n",
       "  0.03453034384989348,\n",
       "  0.7483463692603908,\n",
       "  nan,\n",
       "  0.8834857580461548,\n",
       "  nan,\n",
       "  0.16942291040130292,\n",
       "  0.06213577283908105,\n",
       "  0.038406791867969865,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.02964262612194447,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1564454093410545,\n",
       "  nan,\n",
       "  0.8760399396622526,\n",
       "  0.08728584203957038,\n",
       "  nan,\n",
       "  0.04815548174440143,\n",
       "  nan,\n",
       "  0.059608079254910906,\n",
       "  0.033388771029969434,\n",
       "  0.06621781595005018,\n",
       "  nan,\n",
       "  0.08082425979607981,\n",
       "  0.031871661468024316,\n",
       "  nan,\n",
       "  0.1855468001040011,\n",
       "  0.9313838607057868,\n",
       "  0.044922120701923265,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.22633265429635757,\n",
       "  0.05279233064777521,\n",
       "  0.7915957335161434,\n",
       "  0.6418667752793872,\n",
       "  0.5171171034783513,\n",
       "  0.5549184022928374,\n",
       "  0.05095603267693611,\n",
       "  nan,\n",
       "  0.061561396714001175,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04118977676709709,\n",
       "  0.042900628063661975,\n",
       "  0.10390864191562817,\n",
       "  0.08006680417485941,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07455822855804607,\n",
       "  0.057264941473919605,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.186654240093856,\n",
       "  0.026383774592480265,\n",
       "  0.044156602849635705,\n",
       "  0.03659432559231141,\n",
       "  0.2355453524483415,\n",
       "  0.6200871604377394,\n",
       "  0.9248312856995008,\n",
       "  0.05203590583282664,\n",
       "  0.020514406503404557,\n",
       "  0.09322354176995261,\n",
       "  0.0841359626385008,\n",
       "  0.05203590583282664,\n",
       "  0.02147419305908842,\n",
       "  0.047311778427152264,\n",
       "  nan,\n",
       "  0.2056975288996728,\n",
       "  0.18968690531353447,\n",
       "  0.9512471255433688,\n",
       "  0.9512471255433688,\n",
       "  0.039459324601161284,\n",
       "  0.11397073457185612,\n",
       "  0.09079707207831898,\n",
       "  0.2554821829243746,\n",
       "  0.37610639219327063,\n",
       "  nan,\n",
       "  0.322166631612169,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8629630686225775,\n",
       "  0.04865253077953184,\n",
       "  nan,\n",
       "  0.2051007352692263,\n",
       "  0.22477138371360963,\n",
       "  0.11916655506001657,\n",
       "  0.2051007352692263,\n",
       "  0.02328678781185851,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4885300954263229,\n",
       "  0.5217822861651541,\n",
       "  0.0539049913255914,\n",
       "  0.06779482270262445,\n",
       "  0.040748688226013165,\n",
       "  0.8551465526697043,\n",
       "  nan,\n",
       "  0.7472514850923782,\n",
       "  nan,\n",
       "  0.1799394717640608,\n",
       "  0.19641506930154046,\n",
       "  nan,\n",
       "  0.04970455562913898,\n",
       "  0.04499779647231972,\n",
       "  0.04150641993558246,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.031062526481735225,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03710066662553218,\n",
       "  0.03399104853502692,\n",
       "  0.05012736614040824,\n",
       "  0.07572882163629481,\n",
       "  0.0905526024875876,\n",
       "  0.03392587137712597,\n",
       "  0.49587696651283053,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.173144959461177,\n",
       "  0.05168310851343315,\n",
       "  0.24660341615185558,\n",
       "  0.4526711754242544,\n",
       "  0.9375632423427172,\n",
       "  0.5838279602855969,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06661725667146995,\n",
       "  nan,\n",
       "  0.09338298380730298,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0644824926027071,\n",
       "  0.029555691059712265,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05065670925722653,\n",
       "  0.1723923875108597,\n",
       "  nan,\n",
       "  0.7124131747973809,\n",
       "  nan,\n",
       "  0.027000277720735908,\n",
       "  nan,\n",
       "  0.4230448434312909,\n",
       "  0.1331708121392916,\n",
       "  0.7200769760968512,\n",
       "  nan,\n",
       "  0.18460500996688683,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.9049269860406862,\n",
       "  nan,\n",
       "  0.5575490882709009,\n",
       "  0.04725882584851907,\n",
       "  0.03944130330431054,\n",
       "  nan,\n",
       "  0.06646790189663368,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0534363982236478,\n",
       "  nan,\n",
       "  0.04516983626626319,\n",
       "  0.06348137400212014,\n",
       "  nan,\n",
       "  0.09214676325089688,\n",
       "  0.040519335844975635,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.03194193470911537,\n",
       "  0.08935837968800324,\n",
       "  nan,\n",
       "  0.03486421354170978,\n",
       "  0.030045004431366113,\n",
       "  0.2842190705194532,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1285399657358506,\n",
       "  0.0278865775580851,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.16697626659304662,\n",
       "  0.03492553849563472,\n",
       "  0.03492553849563472,\n",
       "  0.052813864604156685,\n",
       "  0.03141368683016,\n",
       "  0.7198691599130788,\n",
       "  0.6313724631982787,\n",
       "  nan,\n",
       "  0.4496651955918136,\n",
       "  0.09624302661218741,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.048141233347597866,\n",
       "  0.18499954124797824,\n",
       "  0.7637832333022883,\n",
       "  nan,\n",
       "  0.03997398478621888,\n",
       "  0.04676735007152729,\n",
       "  0.0224725337519746,\n",
       "  0.03203710247753091,\n",
       "  0.04440473289895974,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07688849075589818,\n",
       "  0.07824550791907701,\n",
       "  0.0572147495390834,\n",
       "  0.0676612501441257,\n",
       "  0.39459388543812174,\n",
       "  nan,\n",
       "  0.09247587160397933,\n",
       "  nan,\n",
       "  0.057088607663020145,\n",
       "  0.03511379408830289,\n",
       "  0.612267538331947,\n",
       "  0.05621388467404799,\n",
       "  0.05367769826072302,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.028258064215256864,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04244033203891814,\n",
       "  0.1708187243293839,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8662344521217116,\n",
       "  0.0421648458395942,\n",
       "  0.03821925972487328,\n",
       "  nan,\n",
       "  0.04148786056604856,\n",
       "  0.03865456331929895,\n",
       "  0.0651389287477855,\n",
       "  0.3377290358428562,\n",
       "  0.0813446929905454,\n",
       "  0.017464237661423927,\n",
       "  0.04400717303790805,\n",
       "  0.928619986651492,\n",
       "  0.21778817523740981,\n",
       "  0.09933205227775183,\n",
       "  0.49068369045455057,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.22325228120631238,\n",
       "  0.5444307470163487,\n",
       "  0.23104851766072407,\n",
       "  0.0525005650403302,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05529007353536916,\n",
       "  0.07987597526349087,\n",
       "  nan,\n",
       "  0.07184868389537134,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.030519138686090606,\n",
       "  0.04042855459429991,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8444919292528974,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.915177350786428,\n",
       "  0.04406620934801223,\n",
       "  0.18110793866357405,\n",
       "  nan,\n",
       "  0.17908096778723281,\n",
       "  0.6966241949258251,\n",
       "  0.030142307745851454],\n",
       " 4: [0.21133606564797186,\n",
       "  nan,\n",
       "  0.08891073539967939,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6671581845405671,\n",
       "  0.8000970853618058,\n",
       "  0.03546716828060691,\n",
       "  nan,\n",
       "  0.8744353746804782,\n",
       "  0.22402256636031362,\n",
       "  nan,\n",
       "  0.6272292003000804,\n",
       "  0.7217989276231389,\n",
       "  0.9128616110306258,\n",
       "  nan,\n",
       "  0.21854709187073376,\n",
       "  0.058132649942260264,\n",
       "  0.058132649942260264,\n",
       "  0.030421722884416424,\n",
       "  0.7719480380949933,\n",
       "  0.7719480380949933,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.039701270620969537,\n",
       "  0.039701270620969537,\n",
       "  0.7626203223613405,\n",
       "  0.6908326781649979,\n",
       "  0.838690412908158,\n",
       "  0.3046729958151286,\n",
       "  0.03276486942880795,\n",
       "  0.2426016654308283,\n",
       "  nan,\n",
       "  0.21992017205642508,\n",
       "  0.6888017109012861,\n",
       "  0.060162115794510966,\n",
       "  0.044380701801299674,\n",
       "  0.4595825507502075,\n",
       "  0.6606613292130294,\n",
       "  0.17005159995255087,\n",
       "  0.5286624046875364,\n",
       "  0.5286624046875364,\n",
       "  0.6697833572705213,\n",
       "  0.46471783606063694,\n",
       "  0.06526928037703048,\n",
       "  nan,\n",
       "  0.3139714210265237,\n",
       "  0.06299931181332984,\n",
       "  0.6450415845633354,\n",
       "  nan,\n",
       "  0.8351157711757408,\n",
       "  nan,\n",
       "  0.7334200715507723,\n",
       "  0.18658006690894227,\n",
       "  0.08242823393236763,\n",
       "  0.04944312588629747,\n",
       "  0.5396794736858451,\n",
       "  nan,\n",
       "  0.6251819910526815,\n",
       "  nan,\n",
       "  0.2786970171616312,\n",
       "  nan,\n",
       "  0.9755967819743347,\n",
       "  0.04304313550289731,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.10167272016245867,\n",
       "  0.12566201606432753,\n",
       "  0.28985518558970036,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1888368139200767,\n",
       "  0.1623027751707721,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.05913223620879144,\n",
       "  nan,\n",
       "  0.8065928269764051,\n",
       "  0.28393372222306085,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7960110950429489,\n",
       "  0.800954460471856,\n",
       "  0.37241326602218566,\n",
       "  0.6223202609375003,\n",
       "  0.7447582206436265,\n",
       "  0.2598050136876645,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4253510056755664,\n",
       "  0.8260609740738802,\n",
       "  0.44639301628983846,\n",
       "  0.712857934392245,\n",
       "  0.21411011592831933,\n",
       "  0.25147848592715244,\n",
       "  0.25147848592715244,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3138978190012445,\n",
       "  0.02540433600109863,\n",
       "  0.06698146726689427,\n",
       "  0.5462224283629946,\n",
       "  0.14462240758236755,\n",
       "  0.03571955368653415,\n",
       "  0.15978103544564265,\n",
       "  0.1573016928756208,\n",
       "  0.8859455844439839,\n",
       "  0.0660082243868817,\n",
       "  0.10121819720770649,\n",
       "  0.10668139242835284,\n",
       "  0.10668139242835284,\n",
       "  0.3209850898402982,\n",
       "  0.9037608451986751,\n",
       "  0.5173251777490335,\n",
       "  0.7531174413506441,\n",
       "  0.12181611462315962,\n",
       "  0.3034305324130792,\n",
       "  0.32935858473651564,\n",
       "  0.5551685439052146,\n",
       "  0.32935858473651564,\n",
       "  0.1361701762005902,\n",
       "  nan,\n",
       "  0.3017768028559597,\n",
       "  0.8179194949296349,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5889860155111762,\n",
       "  0.7275091771983453,\n",
       "  nan,\n",
       "  0.1173401620550494,\n",
       "  0.33186930830947353,\n",
       "  0.07213263204911,\n",
       "  nan,\n",
       "  0.8358788187933361,\n",
       "  0.15831438036837725,\n",
       "  0.6842919751836896,\n",
       "  0.8096819646523155,\n",
       "  0.03132103378353924,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09200405755566966,\n",
       "  0.09738923814083181,\n",
       "  nan,\n",
       "  0.034385043620139936,\n",
       "  0.2861392122226652,\n",
       "  0.07008574625153377,\n",
       "  0.8036781494463394,\n",
       "  nan,\n",
       "  0.21863143435564597,\n",
       "  0.21545446809788396,\n",
       "  nan,\n",
       "  0.3164774749221801,\n",
       "  nan,\n",
       "  0.6046907662044684,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6978455225889904,\n",
       "  0.6821207173344372,\n",
       "  0.13426156738968728,\n",
       "  0.3449796941662292,\n",
       "  0.7145123902670794,\n",
       "  0.8822612418503569,\n",
       "  0.9372031619412255,\n",
       "  0.4202562021590195,\n",
       "  0.6813732768888441,\n",
       "  0.8160917581729983,\n",
       "  0.45121970083471297,\n",
       "  0.06329830716404537,\n",
       "  nan,\n",
       "  0.6638340290075072,\n",
       "  0.2542006211735467,\n",
       "  0.2542006211735467,\n",
       "  0.03288058205215772,\n",
       "  0.10646011557937306,\n",
       "  0.6048102579021803,\n",
       "  nan,\n",
       "  0.4533664824091942,\n",
       "  0.6460630025351819,\n",
       "  0.1395974492756621,\n",
       "  0.04983065103185635,\n",
       "  0.080618765662394,\n",
       "  nan,\n",
       "  0.29943887320374,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.733163193684136,\n",
       "  0.053537513856859176,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09584444046766137,\n",
       "  0.7102453872362884,\n",
       "  0.7835168496884687,\n",
       "  0.6362120540045527,\n",
       "  0.7901593360488907,\n",
       "  0.7166067769462862,\n",
       "  0.14553514503934847,\n",
       "  nan,\n",
       "  0.46421782222901226,\n",
       "  0.7965479356276542,\n",
       "  0.18435074039570898,\n",
       "  0.3690355505019894,\n",
       "  nan,\n",
       "  0.031234753885540666,\n",
       "  0.40975200964921266,\n",
       "  nan,\n",
       "  0.8975651197744179,\n",
       "  0.03483559791089702,\n",
       "  0.03550961700319163,\n",
       "  0.6318622808050469,\n",
       "  0.3483395248151875,\n",
       "  0.690770198547184,\n",
       "  0.7910144025972674,\n",
       "  0.6633797154490899,\n",
       "  0.028792345756160676,\n",
       "  0.06172245272459319,\n",
       "  0.27042640999922485,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.14301722299993078,\n",
       "  0.7030874424293132,\n",
       "  nan,\n",
       "  0.5374248077853746,\n",
       "  0.8542891011901059,\n",
       "  0.6097621079728895,\n",
       "  0.05759612476609832,\n",
       "  0.06285498705235054,\n",
       "  0.08861294837707506,\n",
       "  0.1638510501973896,\n",
       "  nan,\n",
       "  0.06789676256061389,\n",
       "  0.09356579817342765,\n",
       "  0.538511798207855,\n",
       "  0.06966408968179745,\n",
       "  0.05572840564321891,\n",
       "  0.8515560651723131,\n",
       "  nan,\n",
       "  0.5704327894654382,\n",
       "  nan,\n",
       "  0.24859670040611426,\n",
       "  0.1980893283215885,\n",
       "  0.7634576375082119,\n",
       "  0.7030567827068355,\n",
       "  0.076164262848808,\n",
       "  0.7602322657802139,\n",
       "  0.06255404794908961,\n",
       "  nan,\n",
       "  0.2934585511837968,\n",
       "  0.7237442165614656,\n",
       "  0.5545718824501212,\n",
       "  0.718525046455919,\n",
       "  0.8210328087748336,\n",
       "  0.03632634218994269,\n",
       "  nan,\n",
       "  0.7756421756725995,\n",
       "  nan,\n",
       "  0.2300046884875653,\n",
       "  0.6073192763034795,\n",
       "  nan,\n",
       "  0.13448609471129966,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.11989404658362923,\n",
       "  0.20000553050222833,\n",
       "  0.3086768822030417,\n",
       "  nan,\n",
       "  0.6947854249620562,\n",
       "  0.2974943345305431,\n",
       "  nan,\n",
       "  0.32291957966809914,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.01978100033271238,\n",
       "  0.047880836200706406,\n",
       "  0.20279312998885332,\n",
       "  0.23825319601522305,\n",
       "  0.461059107172883,\n",
       "  nan,\n",
       "  0.29244568222429457,\n",
       "  nan,\n",
       "  0.03408543360086683,\n",
       "  0.03408543360086683,\n",
       "  nan,\n",
       "  0.04078878914458692,\n",
       "  0.4814930699917211,\n",
       "  0.09856819307911417,\n",
       "  0.2862929690466864,\n",
       "  0.6501194002220367,\n",
       "  0.3403648776363442,\n",
       "  0.05170670177085347,\n",
       "  nan,\n",
       "  0.0545516997916858,\n",
       "  0.02716231633063605,\n",
       "  0.06424352452325345,\n",
       "  0.640296409752691,\n",
       "  nan,\n",
       "  0.5448021406301738,\n",
       "  nan,\n",
       "  0.03156331512208469,\n",
       "  0.06328161410736195,\n",
       "  0.6527987263734691,\n",
       "  0.6991492344379797,\n",
       "  0.31634706603373364,\n",
       "  0.3432367672259145,\n",
       "  0.5076034234819903,\n",
       "  0.8033053271574917,\n",
       "  nan,\n",
       "  0.05238814318166354,\n",
       "  0.7597398775137253,\n",
       "  0.5460281315887506,\n",
       "  0.6501732922437189,\n",
       "  nan,\n",
       "  0.5395911531249988,\n",
       "  nan,\n",
       "  0.04712348240362979,\n",
       "  0.6194119500684993,\n",
       "  0.5574223298841046,\n",
       "  0.6039843120178803,\n",
       "  nan,\n",
       "  0.6039843120178803,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.1372300024467328,\n",
       "  0.39832230370335253,\n",
       "  0.8576460712955313,\n",
       "  0.6269810888814142,\n",
       "  0.6525470544934402,\n",
       "  0.10598382397816675,\n",
       "  0.10598382397816675,\n",
       "  0.27405555068264753,\n",
       "  0.15461938645052192,\n",
       "  0.07258020768361637,\n",
       "  0.4717626909403581,\n",
       "  0.4782638967197868,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5947446239191443,\n",
       "  0.671218606406495,\n",
       "  0.6117914453068403,\n",
       "  0.4368200887106801,\n",
       "  0.2839137622528595,\n",
       "  0.4813605116629378,\n",
       "  0.5269423891107895,\n",
       "  nan,\n",
       "  0.389441954863411,\n",
       "  0.6143763487479333,\n",
       "  0.7804325710264919,\n",
       "  0.5391635522918001,\n",
       "  0.08438398882450329,\n",
       "  0.08438398882450329,\n",
       "  0.07491751867730752,\n",
       "  0.09312493733903981,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3701612878725171,\n",
       "  0.8412642600975991,\n",
       "  0.9041504477279774,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.34851540482142884,\n",
       "  0.069884688847124,\n",
       "  0.10309161766063236,\n",
       "  0.9085213371895692,\n",
       "  0.10309161766063236,\n",
       "  0.5591175818684754,\n",
       "  0.5591175818684754,\n",
       "  0.4597950785445904,\n",
       "  nan,\n",
       "  0.525880801405196,\n",
       "  0.525880801405196,\n",
       "  nan,\n",
       "  0.11378200239526721,\n",
       "  0.8688491897066424,\n",
       "  0.032773252485172884,\n",
       "  nan,\n",
       "  0.7028099086266207,\n",
       "  0.6022965461153521,\n",
       "  0.6220998756599697,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.035010640285973484,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06575189753204223,\n",
       "  0.22997087688254017,\n",
       "  0.25995805470734584,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.160642209233478,\n",
       "  0.2116200164838568,\n",
       "  0.5545897340076551,\n",
       "  nan,\n",
       "  0.24429518119623841,\n",
       "  0.14176960639141462,\n",
       "  0.13505553945657098,\n",
       "  0.4502595908525859,\n",
       "  0.7416692468336114,\n",
       "  0.7416692468336114,\n",
       "  nan,\n",
       "  0.20068664356811455,\n",
       "  0.2922037839104725,\n",
       "  0.028350697392175783,\n",
       "  0.036600568526997626,\n",
       "  0.01680927816742548,\n",
       "  nan,\n",
       "  0.0957951737479306,\n",
       "  0.17840411914157914,\n",
       "  0.564318618508554,\n",
       "  0.1814080887418445,\n",
       "  0.9359085681761435,\n",
       "  nan,\n",
       "  0.06429705673053371,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3115788550473405,\n",
       "  nan,\n",
       "  0.5235226314068578,\n",
       "  0.12339423604856008,\n",
       "  0.7324658500628263,\n",
       "  0.21869043648567107,\n",
       "  0.09750100256033097,\n",
       "  0.26543398170652094,\n",
       "  0.7043686803167746,\n",
       "  0.42448719724368056,\n",
       "  nan,\n",
       "  0.6852801090283507,\n",
       "  0.30350903037590965,\n",
       "  0.5532547884093971,\n",
       "  0.4821517297526904,\n",
       "  nan,\n",
       "  0.7624073544184621,\n",
       "  0.20823675131156952,\n",
       "  0.7169583583626512,\n",
       "  0.6172763003552696,\n",
       "  0.4472660892798009,\n",
       "  0.7235296872016433,\n",
       "  0.49849680989238343,\n",
       "  0.10699875551112722,\n",
       "  0.5909602524317052,\n",
       "  0.7265330610616751,\n",
       "  0.06404741619603535,\n",
       "  0.10274267827485911,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.030450349982977454,\n",
       "  0.023434590973595584,\n",
       "  0.6097545407388236,\n",
       "  0.6619200576218562,\n",
       "  0.6619200576218562,\n",
       "  0.6047962082057106,\n",
       "  0.5820460783070563,\n",
       "  0.5931454437085987,\n",
       "  0.05538083149072656,\n",
       "  nan,\n",
       "  0.5432125400125462,\n",
       "  0.23654553327379624,\n",
       "  0.051268507851377675,\n",
       "  0.0877595805093045,\n",
       "  0.4008651323952653,\n",
       "  0.06078995356791442,\n",
       "  0.20207954294205294,\n",
       "  0.05751112626970607,\n",
       "  0.22509660781937826,\n",
       "  0.1291129961428106,\n",
       "  0.0660482466113114,\n",
       "  0.13763253316945964,\n",
       "  0.22741474050967883,\n",
       "  0.6375768170849366,\n",
       "  0.03653217500955131,\n",
       "  0.5379929023149592,\n",
       "  nan,\n",
       "  0.090501249421306,\n",
       "  0.2885542901355001,\n",
       "  0.17091691777709206,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4695845818202661,\n",
       "  0.17818460088238472,\n",
       "  0.17451288728888917,\n",
       "  nan,\n",
       "  0.06261941412975996,\n",
       "  nan,\n",
       "  0.5888252042322023,\n",
       "  0.0764567951265005,\n",
       "  nan,\n",
       "  0.7811807608391992,\n",
       "  nan,\n",
       "  0.24588747855569343,\n",
       "  0.07695409411130653,\n",
       "  0.14443388321605963,\n",
       "  0.23696657253035394,\n",
       "  0.22481282378694578,\n",
       "  0.6873759474419497,\n",
       "  0.5299004403393524,\n",
       "  0.3325267802936814,\n",
       "  nan,\n",
       "  0.17955424558843822,\n",
       "  0.420098687252968,\n",
       "  nan,\n",
       "  0.16729496682326134,\n",
       "  0.5695361964692481,\n",
       "  0.6501358085436871,\n",
       "  0.17940626492642936,\n",
       "  0.4406562757484829,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.07231747081005788,\n",
       "  0.22541990303763546,\n",
       "  0.6046925718749998,\n",
       "  0.39764632487442203,\n",
       "  0.16363075549609676,\n",
       "  0.18443541765880161,\n",
       "  0.1740038156767386,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.38946537310502916,\n",
       "  0.5676637473199502,\n",
       "  0.2517196917891782,\n",
       "  0.22304574044987416,\n",
       "  0.3759356001642219,\n",
       "  0.6501941008175531,\n",
       "  0.27222678002341266,\n",
       "  0.6579573946088552,\n",
       "  0.053997455533197874,\n",
       "  0.10087882817898422,\n",
       "  nan,\n",
       "  0.5582970156353465,\n",
       "  0.46727517878444386,\n",
       "  0.07247699028230956,\n",
       "  0.6815522991823352,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8494524998335411,\n",
       "  nan,\n",
       "  0.1945986704968986,\n",
       "  0.1183792250129564,\n",
       "  0.765466626303807,\n",
       "  0.4498426444524591,\n",
       "  0.4500231172909789,\n",
       "  0.1305215484790409,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04827087199054266,\n",
       "  0.08363754419134405,\n",
       "  0.6120375124586098,\n",
       "  0.04827087199054266,\n",
       "  0.07054320632207677,\n",
       "  0.9424406368214875,\n",
       "  0.9424406368214875,\n",
       "  0.9452782356257761,\n",
       "  nan,\n",
       "  0.5000879502158072,\n",
       "  0.2475229983073039,\n",
       "  0.21572807885808395,\n",
       "  0.14766020652975861,\n",
       "  0.1377799567189934,\n",
       "  0.09922065242146343,\n",
       "  nan,\n",
       "  0.09247688485034965,\n",
       "  0.5713678677462782,\n",
       "  0.8445160214714417,\n",
       "  0.7956207120240072,\n",
       "  0.24650940155912218,\n",
       "  0.08408016846554421,\n",
       "  0.08408016846554421,\n",
       "  0.12373815575824845,\n",
       "  0.8172426418193093,\n",
       "  0.4468985535060889,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.33269731738462394,\n",
       "  0.22811331080366884,\n",
       "  0.07392963781984521,\n",
       "  nan,\n",
       "  0.20285052205029952,\n",
       "  0.26907051054940917,\n",
       "  0.7685102926006445,\n",
       "  0.09927276861112579,\n",
       "  0.6759164938504927,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.24463407335816767,\n",
       "  nan,\n",
       "  0.19131187576877148,\n",
       "  0.6782459544447906,\n",
       "  0.5200036309601211,\n",
       "  0.5795899587891306,\n",
       "  0.6332312259157697,\n",
       "  0.49899505383751536,\n",
       "  0.08521189483030228,\n",
       "  0.16718484899963848,\n",
       "  0.40404120710246105,\n",
       "  0.7301345627459132,\n",
       "  0.8662903789408167,\n",
       "  0.03840574631720689,\n",
       "  nan,\n",
       "  0.44100429840133776,\n",
       "  0.48619502155086625,\n",
       "  0.5654710433050479,\n",
       "  nan,\n",
       "  0.7227132673905254,\n",
       "  0.7735523474596426,\n",
       "  0.6432950628265135,\n",
       "  0.033051780378502,\n",
       "  0.7038154832781441,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.633097122801117,\n",
       "  0.8723390383899032,\n",
       "  0.7988274168141264,\n",
       "  0.028725965207632532,\n",
       "  0.08295351342766645,\n",
       "  0.04028218393708306,\n",
       "  0.11055511843174687,\n",
       "  0.16559271326053068,\n",
       "  0.2789685952594223,\n",
       "  nan,\n",
       "  0.6472869482305479,\n",
       "  0.8026378379242566,\n",
       "  0.9563326785341121,\n",
       "  0.26222321720574987,\n",
       "  0.1674053772528597,\n",
       "  0.7175719995674641,\n",
       "  0.030843975138499777,\n",
       "  0.034468643984824604,\n",
       "  0.08898356159190543,\n",
       "  0.36729606635428785,\n",
       "  nan,\n",
       "  0.35440113187440975,\n",
       "  0.33911321226890173,\n",
       "  0.512587211468911,\n",
       "  0.242101676738411,\n",
       "  0.04433933510701147,\n",
       "  0.05764121114519237,\n",
       "  0.06219185917593967,\n",
       "  0.043504912877049814,\n",
       "  0.5558017530485496,\n",
       "  0.5189621293165616,\n",
       "  0.6119235829076703,\n",
       "  0.03221767118956544,\n",
       "  0.34389550529456453,\n",
       "  0.2682597382577484,\n",
       "  0.37260207335471934,\n",
       "  nan,\n",
       "  0.45024888079720116,\n",
       "  0.37422656725779413,\n",
       "  nan,\n",
       "  0.8163474497357956,\n",
       "  0.06612323349193473,\n",
       "  0.1999978185844376,\n",
       "  0.16128660671924813,\n",
       "  0.10140559734590461,\n",
       "  0.2083802118380965,\n",
       "  0.04801844547822091,\n",
       "  nan,\n",
       "  0.2622520373683771,\n",
       "  0.2622520373683771,\n",
       "  0.5878274300082773,\n",
       "  0.5878274300082773,\n",
       "  0.02467599619989886,\n",
       "  0.2883643499791986,\n",
       "  0.34371658404988437,\n",
       "  0.12922247439182916,\n",
       "  0.15400475074100275,\n",
       "  0.818357959913083,\n",
       "  0.1340815744489897,\n",
       "  0.4883532987893209,\n",
       "  0.07371009732457956,\n",
       "  0.3148074010794555,\n",
       "  nan,\n",
       "  0.7988431421719792,\n",
       "  nan,\n",
       "  0.0670782458554946,\n",
       "  0.0670782458554946,\n",
       "  0.071943119179723,\n",
       "  0.5031206227235083,\n",
       "  0.5323183322311024,\n",
       "  0.04806730975834977,\n",
       "  0.5130057212683852,\n",
       "  0.0466465709937628,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6408904071466809,\n",
       "  0.3262058128324529,\n",
       "  nan,\n",
       "  0.04505178440249154,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.09116596195358917,\n",
       "  0.052774166705945216,\n",
       "  0.06825404054352066,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7783341879725443,\n",
       "  0.4380368389523193,\n",
       "  0.12365670488385255,\n",
       "  0.17427784819950382,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.8668025408327615,\n",
       "  0.44530833555216737,\n",
       "  nan,\n",
       "  0.7499441647865833,\n",
       "  0.7099436320647101,\n",
       "  0.5913586986175305,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4323101741773587,\n",
       "  nan,\n",
       "  0.1474175102223624,\n",
       "  0.02536195725372523,\n",
       "  0.5163585170958631,\n",
       "  0.5163585170958631,\n",
       "  0.20682615924048003,\n",
       "  0.5060445429458649,\n",
       "  nan,\n",
       "  0.739455325923816,\n",
       "  0.11393539617070815,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.21146029399214877,\n",
       "  0.5083924107667632,\n",
       "  0.4467967834390133,\n",
       "  0.23832880440932197,\n",
       "  0.24764903736689126,\n",
       "  nan,\n",
       "  0.3254728778524937,\n",
       "  0.3254728778524937,\n",
       "  0.6556713471040885,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.4942053156146503,\n",
       "  0.07299015920388055,\n",
       "  0.06762402008424923,\n",
       "  0.09894833806652721,\n",
       "  0.09894833806652721,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.06001106977255721,\n",
       "  0.04666445474510212,\n",
       "  0.06001106977255721,\n",
       "  0.1553127117819486,\n",
       "  0.12740826583735615,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3708336548667518,\n",
       "  0.28579794994418634,\n",
       "  0.15257265162644598,\n",
       "  0.3532218042843846,\n",
       "  0.14358960538561907,\n",
       "  nan,\n",
       "  0.8374690021051293,\n",
       "  nan,\n",
       "  0.7570789632855565,\n",
       "  0.7884422315382702,\n",
       "  0.24507097379511547,\n",
       "  0.16720496080021285,\n",
       "  0.12008527172327849,\n",
       "  0.2544447797819161,\n",
       "  0.543323423158116,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0218556165439374,\n",
       "  nan,\n",
       "  0.3437715502739549,\n",
       "  0.6100369287251688,\n",
       "  0.03599054998848423,\n",
       "  0.029211308963446862,\n",
       "  0.7304688155513636,\n",
       "  0.5528095959215029,\n",
       "  nan,\n",
       "  0.8321104008278991,\n",
       "  0.22801359383869532,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6050041071369915,\n",
       "  0.06729866542839405,\n",
       "  nan,\n",
       "  0.5888349848143866,\n",
       "  0.19253968787596598,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.20345586595243617,\n",
       "  0.21439338577334235,\n",
       "  0.8672733181702978,\n",
       "  0.03488625149830677,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7104367561308087,\n",
       "  0.7000432577475377,\n",
       "  0.7350074831139974,\n",
       "  0.0319038968747697,\n",
       "  0.6292268951469351,\n",
       "  0.10781920930034264,\n",
       "  nan,\n",
       "  0.09930209538914345,\n",
       "  nan,\n",
       "  0.7474937037562049,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7706952340786157,\n",
       "  0.11071250636663188,\n",
       "  0.05265704950823063,\n",
       "  nan,\n",
       "  0.17295080437561203,\n",
       "  0.8258116081332814,\n",
       "  0.7510283657905592,\n",
       "  0.7335805392280599,\n",
       "  0.4327381618480963,\n",
       "  0.395356670512555,\n",
       "  0.4634947872464805,\n",
       "  0.3471618226149105,\n",
       "  0.4141831688327817,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.3195867157420552,\n",
       "  0.22410068940190375,\n",
       "  0.7506928953952807,\n",
       "  0.6745921865544205,\n",
       "  nan,\n",
       "  0.1076215506496095,\n",
       "  0.6632528249482603,\n",
       "  0.7919153133968327,\n",
       "  nan,\n",
       "  0.06086402193660149,\n",
       "  nan,\n",
       "  0.4814926485287979,\n",
       "  0.5077189991745271,\n",
       "  0.6668025268160187,\n",
       "  0.7728476670322841,\n",
       "  0.680773577471663,\n",
       "  0.6881495243884069,\n",
       "  0.2876096394764072,\n",
       "  0.14140890439180814,\n",
       "  nan,\n",
       "  0.0382637400854368,\n",
       "  0.2507344942432394,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.11807428311978518,\n",
       "  0.030145232035874117,\n",
       "  0.8482175448778964,\n",
       "  0.6758803115966068,\n",
       "  nan,\n",
       "  0.03209320116716254,\n",
       "  0.07713763752363628,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.6652965493067058,\n",
       "  0.5590382087903552,\n",
       "  0.3547986322782293,\n",
       "  0.15555065666390708,\n",
       "  0.07515123292844722,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.0538641093462441,\n",
       "  0.07105894678268146,\n",
       "  0.8161477302804486,\n",
       "  0.6008370168054675,\n",
       "  0.8151164709747494,\n",
       "  0.8151164709747494,\n",
       "  0.8275212069536423,\n",
       "  0.20520721426600472,\n",
       "  nan,\n",
       "  0.4593188395003205,\n",
       "  nan,\n",
       "  0.061966456888567764,\n",
       "  0.6740193412665534,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.36294317748289184,\n",
       "  nan,\n",
       "  0.06849193651179625,\n",
       "  nan,\n",
       "  0.18460460293282188,\n",
       "  nan,\n",
       "  0.5204733875063522,\n",
       "  0.15440062881634212,\n",
       "  0.034946883054596464,\n",
       "  nan,\n",
       "  0.11248805552575257,\n",
       "  0.13636388880380784,\n",
       "  0.1791319326872931,\n",
       "  nan,\n",
       "  0.26111554313297775,\n",
       "  0.20435423444456033,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.34900575121412736,\n",
       "  0.7766892406593227,\n",
       "  nan,\n",
       "  0.08403046740332672,\n",
       "  0.6572724165873352,\n",
       "  0.11983754217126802,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.7046949113358876,\n",
       "  0.6938590425130722,\n",
       "  0.22726515214238427,\n",
       "  0.10057939161830404,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.2770346996930189,\n",
       "  0.05323623773213169,\n",
       "  0.26493899318792175,\n",
       "  0.8699110890728461,\n",
       "  nan,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.04587495234005439,\n",
       "  nan,\n",
       "  0.8052197891383815,\n",
       "  0.7584039110358047,\n",
       "  nan,\n",
       "  0.7312204342613291,\n",
       "  nan,\n",
       "  0.043428017863609364,\n",
       "  0.6359564117653135,\n",
       "  0.7392560752172999,\n",
       "  0.7912964120662408,\n",
       "  0.07376730035619534,\n",
       "  0.07716454943621572,\n",
       "  0.324960652032978,\n",
       "  0.5623550901686526,\n",
       "  0.6181022876713271,\n",
       "  0.5384232614114232,\n",
       "  0.4345534378414729,\n",
       "  0.4754040103994222,\n",
       "  nan,\n",
       "  0.6377421228227189,\n",
       "  0.419212167809311,\n",
       "  0.7604969329028615,\n",
       "  nan,\n",
       "  0.5000594768291431,\n",
       "  0.6662871544288066,\n",
       "  nan,\n",
       "  0.14122847957848353,\n",
       "  0.5373999647661426,\n",
       "  0.3945264590146971,\n",
       "  0.21132572076623038,\n",
       "  0.9189096226047708,\n",
       "  0.7892540249430786,\n",
       "  0.8431847297837088,\n",
       "  0.4322955781417911,\n",
       "  0.4680863985917772,\n",
       "  nan,\n",
       "  0.19782852099290643,\n",
       "  0.02927509182270278,\n",
       "  0.0487593465611756,\n",
       "  0.033128967474950935,\n",
       "  0.044506067295460895,\n",
       "  0.10611608085678813,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.5781895444846865,\n",
       "  0.9412982368273982,\n",
       "  0.9412982368273982,\n",
       "  nan,\n",
       "  0.08507612820687346,\n",
       "  0.39942952422993194,\n",
       "  nan,\n",
       "  nan,\n",
       "  0.21858172322054456,\n",
       "  0.5766247993894871,\n",
       "  ...]}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beta_labels_dict = {0:[], 1:[], 2:[], 3:[], 4:[]}\n",
    "for i, row in overlap_TAD_promoter.iterrows():\n",
    "    if i % 1000 == 0:\n",
    "        print(i)\n",
    "    common_chr1 = methylation_beta[\"chr\"+methylation_beta[\"CHR\"] == row[\"chr\"]]\n",
    "    overlap = common_chr1[(common_chr1[\"MAPINFO\"] >= row[\"start\"]) & (common_chr1[\"MAPINFO\"] <= row[\"end\"])]\n",
    "    beta_labels_dict[row[\"label\"]].append(np.mean(overlap[\"mean_beta\"]))\n",
    "                                          \n",
    "beta_labels_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(5):\n",
    "    beta_labels_dict[i]=[x for x in beta_labels_dict[i] if ~np.isnan(x)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KruskalResult(statistic=233.54588264615066, pvalue=2.2761530935915483e-49)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.kruskal(beta_labels_dict[0], beta_labels_dict[1], beta_labels_dict[2], beta_labels_dict[3], beta_labels_dict[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(np.median(beta_labels_dict[0]), np.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [beta_labels_dict[0], beta_labels_dict[1], beta_labels_dict[2], beta_labels_dict[3], beta_labels_dict[4]]\n",
    "fig = plt.figure(figsize =(10, 7))\n",
    "ax = fig.add_axes([0, 0, 1, 1])\n",
    "boxplt = ax.boxplot(data)\n",
    "for i, line in enumerate(boxplt['medians']):\n",
    "    x, y = line.get_xydata()[1]\n",
    "    #text = ' median={:.2f}'.format(np.median(data[i]))\n",
    "    text = ' {:.2f}'.format(np.median(data[i]))\n",
    "    ax.annotate(text, xy=(x, y), fontsize=16)\n",
    "plt.ylabel(\"Mean Promoter Methylation Beta Values\", fontsize=20)\n",
    "plt.title(\"Mean Promoter Methylation Beta Values vs. 5-state Clustered TAD Domains\", fontsize=20)\n",
    "ax.set_xticklabels(['Mixed', 'Inactive-1','Active-1', 'Active-2', 'Inactive-2'], fontsize=20)\n",
    "plt.yticks(fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Unnamed: 0</th>\n",
       "      <th>cancer_type</th>\n",
       "      <th>snp</th>\n",
       "      <th>snp_position</th>\n",
       "      <th>alleles</th>\n",
       "      <th>probes</th>\n",
       "      <th>probe_position</th>\n",
       "      <th>probe_gene</th>\n",
       "      <th>beta</th>\n",
       "      <th>status</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 24</th>\n",
       "      <th>Unnamed: 25</th>\n",
       "      <th>Unnamed: 26</th>\n",
       "      <th>Unnamed: 27</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Unnamed: 29</th>\n",
       "      <th>Unnamed: 30</th>\n",
       "      <th>Unnamed: 31</th>\n",
       "      <th>chr</th>\n",
       "      <th>bp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>BLCA</td>\n",
       "      <td>rs11684598</td>\n",
       "      <td>chr2:33952621</td>\n",
       "      <td>G/A</td>\n",
       "      <td>cg04131969</td>\n",
       "      <td>chr2:33951647</td>\n",
       "      <td>MYADML</td>\n",
       "      <td>-1.24</td>\n",
       "      <td>-40.26</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr2</td>\n",
       "      <td>33952621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>BLCA</td>\n",
       "      <td>rs12232965</td>\n",
       "      <td>chr2:33954560</td>\n",
       "      <td>C/T</td>\n",
       "      <td>cg04131969</td>\n",
       "      <td>chr2:33951647</td>\n",
       "      <td>MYADML</td>\n",
       "      <td>-1.24</td>\n",
       "      <td>-39.59</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr2</td>\n",
       "      <td>33954560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>BLCA</td>\n",
       "      <td>rs7574695</td>\n",
       "      <td>chr2:33953186</td>\n",
       "      <td>C/T</td>\n",
       "      <td>cg04131969</td>\n",
       "      <td>chr2:33951647</td>\n",
       "      <td>MYADML</td>\n",
       "      <td>-1.24</td>\n",
       "      <td>-39.35</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr2</td>\n",
       "      <td>33953186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>BLCA</td>\n",
       "      <td>rs11777332</td>\n",
       "      <td>chr8:91676709</td>\n",
       "      <td>G/A</td>\n",
       "      <td>cg16814680</td>\n",
       "      <td>chr8:91681699</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-36.65</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr8</td>\n",
       "      <td>91676709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>BLCA</td>\n",
       "      <td>rs4332092</td>\n",
       "      <td>chr8:91677926</td>\n",
       "      <td>G/A</td>\n",
       "      <td>cg16814680</td>\n",
       "      <td>chr8:91681699</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-36.65</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr8</td>\n",
       "      <td>91677926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11616294</th>\n",
       "      <td>293448</td>\n",
       "      <td>UCEC</td>\n",
       "      <td>rs1601870</td>\n",
       "      <td>chr3:14024162</td>\n",
       "      <td>T/C</td>\n",
       "      <td>cg23070574</td>\n",
       "      <td>chr3:14187308</td>\n",
       "      <td>XPC</td>\n",
       "      <td>0.42</td>\n",
       "      <td>4.58</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr3</td>\n",
       "      <td>14024162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11616295</th>\n",
       "      <td>293449</td>\n",
       "      <td>UCEC</td>\n",
       "      <td>rs10903612</td>\n",
       "      <td>chr10:2018353</td>\n",
       "      <td>C/T</td>\n",
       "      <td>cg16296438</td>\n",
       "      <td>chr10:1416569</td>\n",
       "      <td>ADARB2</td>\n",
       "      <td>0.36</td>\n",
       "      <td>4.58</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr10</td>\n",
       "      <td>2018353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11616296</th>\n",
       "      <td>293450</td>\n",
       "      <td>UCEC</td>\n",
       "      <td>rs4880953</td>\n",
       "      <td>chr10:2019373</td>\n",
       "      <td>C/T</td>\n",
       "      <td>cg16296438</td>\n",
       "      <td>chr10:1416569</td>\n",
       "      <td>ADARB2</td>\n",
       "      <td>0.36</td>\n",
       "      <td>4.58</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr10</td>\n",
       "      <td>2019373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11616297</th>\n",
       "      <td>293451</td>\n",
       "      <td>UCEC</td>\n",
       "      <td>rs11002432</td>\n",
       "      <td>chr10:79931884</td>\n",
       "      <td>C/T</td>\n",
       "      <td>cg15849445</td>\n",
       "      <td>chr10:80635973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58</td>\n",
       "      <td>4.58</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr10</td>\n",
       "      <td>79931884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11616298</th>\n",
       "      <td>293452</td>\n",
       "      <td>UCEC</td>\n",
       "      <td>rs2929995</td>\n",
       "      <td>chr8:134285807</td>\n",
       "      <td>A/G</td>\n",
       "      <td>cg08223003</td>\n",
       "      <td>chr8:134285320</td>\n",
       "      <td>NDRG1</td>\n",
       "      <td>0.35</td>\n",
       "      <td>4.58</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>chr8</td>\n",
       "      <td>134285807</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11616299 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Unnamed: 0 cancer_type         snp    snp_position alleles  \\\n",
       "0                  0        BLCA  rs11684598   chr2:33952621     G/A   \n",
       "1                  1        BLCA  rs12232965   chr2:33954560     C/T   \n",
       "2                  2        BLCA   rs7574695   chr2:33953186     C/T   \n",
       "3                  3        BLCA  rs11777332   chr8:91676709     G/A   \n",
       "4                  4        BLCA   rs4332092   chr8:91677926     G/A   \n",
       "...              ...         ...         ...             ...     ...   \n",
       "11616294      293448        UCEC   rs1601870   chr3:14024162     T/C   \n",
       "11616295      293449        UCEC  rs10903612   chr10:2018353     C/T   \n",
       "11616296      293450        UCEC   rs4880953   chr10:2019373     C/T   \n",
       "11616297      293451        UCEC  rs11002432  chr10:79931884     C/T   \n",
       "11616298      293452        UCEC   rs2929995  chr8:134285807     A/G   \n",
       "\n",
       "              probes  probe_position probe_gene  beta  status  ...  \\\n",
       "0         cg04131969   chr2:33951647     MYADML -1.24  -40.26  ...   \n",
       "1         cg04131969   chr2:33951647     MYADML -1.24  -39.59  ...   \n",
       "2         cg04131969   chr2:33951647     MYADML -1.24  -39.35  ...   \n",
       "3         cg16814680   chr8:91681699        NaN -1.20  -36.65  ...   \n",
       "4         cg16814680   chr8:91681699        NaN -1.20  -36.65  ...   \n",
       "...              ...             ...        ...   ...     ...  ...   \n",
       "11616294  cg23070574   chr3:14187308        XPC  0.42    4.58  ...   \n",
       "11616295  cg16296438   chr10:1416569     ADARB2  0.36    4.58  ...   \n",
       "11616296  cg16296438   chr10:1416569     ADARB2  0.36    4.58  ...   \n",
       "11616297  cg15849445  chr10:80635973        NaN  0.58    4.58  ...   \n",
       "11616298  cg08223003  chr8:134285320      NDRG1  0.35    4.58  ...   \n",
       "\n",
       "          Unnamed: 24  Unnamed: 25 Unnamed: 26  Unnamed: 27  Unnamed: 28  \\\n",
       "0                 NaN          NaN         NaN          NaN          NaN   \n",
       "1                 NaN          NaN         NaN          NaN          NaN   \n",
       "2                 NaN          NaN         NaN          NaN          NaN   \n",
       "3                 NaN          NaN         NaN          NaN          NaN   \n",
       "4                 NaN          NaN         NaN          NaN          NaN   \n",
       "...               ...          ...         ...          ...          ...   \n",
       "11616294          NaN          NaN         NaN          NaN          NaN   \n",
       "11616295          NaN          NaN         NaN          NaN          NaN   \n",
       "11616296          NaN          NaN         NaN          NaN          NaN   \n",
       "11616297          NaN          NaN         NaN          NaN          NaN   \n",
       "11616298          NaN          NaN         NaN          NaN          NaN   \n",
       "\n",
       "          Unnamed: 29  Unnamed: 30  Unnamed: 31    chr         bp  \n",
       "0                 NaN          NaN          NaN   chr2   33952621  \n",
       "1                 NaN          NaN          NaN   chr2   33954560  \n",
       "2                 NaN          NaN          NaN   chr2   33953186  \n",
       "3                 NaN          NaN          NaN   chr8   91676709  \n",
       "4                 NaN          NaN          NaN   chr8   91677926  \n",
       "...               ...          ...          ...    ...        ...  \n",
       "11616294          NaN          NaN          NaN   chr3   14024162  \n",
       "11616295          NaN          NaN          NaN  chr10    2018353  \n",
       "11616296          NaN          NaN          NaN  chr10    2019373  \n",
       "11616297          NaN          NaN          NaN  chr10   79931884  \n",
       "11616298          NaN          NaN          NaN   chr8  134285807  \n",
       "\n",
       "[11616299 rows x 36 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancer_meqtls = pd.read_csv(\"Carter Lab Datasets/meQTL Data/all_cancers_meQTLs.csv\")\n",
    "cancer_meqtls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "10000\n"
     ]
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      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meqtl_labels_dict = {0:[], 1:[], 2:[], 3:[], 4:[]}\n",
    "for i, row in overlap_TAD_promoter.iterrows():\n",
    "    if i % 1000 == 0:\n",
    "        print(i)\n",
    "    common_chr1 = cancer_meqtls[cancer_meqtls[\"chr\"] == row[\"chr\"]]\n",
    "    overlap = common_chr1[(common_chr1[\"bp\"] >= row[\"start\"]) & (common_chr1[\"bp\"] <= row[\"end\"])]\n",
    "    if (overlap_num[row[\"TAD Index\"]]) != 0:\n",
    "        meqtl_labels_dict[row[\"label\"]].append(len(overlap[\"snp\"])/(overlap_num[row[\"TAD Index\"]]))\n",
    "    else:\n",
    "        meqtl_labels_dict[row[\"label\"]].append(len(overlap[\"snp\"]))\n",
    "meqtl_labels_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
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       "        4.13855895e-05, 4.13855895e-05, 4.13855895e-05, 2.06927948e-04,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 1.42780284e-03, 0.00000000e+00,\n",
       "        1.42780284e-03, 1.42780284e-03, 1.42780284e-03, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 1.07898144e-02, 1.07898144e-02,\n",
       "        1.07898144e-02, 1.59943131e-03, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 1.06628754e-03, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.24400213e-03,\n",
       "        1.24400213e-03, 4.70943664e-03, 1.15514484e-03, 1.15514484e-03,\n",
       "        2.66571886e-04, 2.66571886e-04, 3.36974204e-03, 6.73948408e-03,\n",
       "        9.76063212e-03, 9.76063212e-03, 0.00000000e+00, 5.22891006e-03,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        9.76063212e-03, 9.76063212e-03, 0.00000000e+00, 1.88821752e-04,\n",
       "        1.88821752e-04, 1.88821752e-04, 4.72054381e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.44108761e-04,\n",
       "        1.88821752e-04, 1.88821752e-04, 1.88821752e-04, 1.13293051e-03,\n",
       "        7.55287009e-04, 9.44108761e-04, 9.44108761e-04, 1.67841558e-04,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.18194025e-03,\n",
       "        1.67841558e-03, 2.01409869e-03, 3.52467271e-03, 8.39207788e-05,\n",
       "        8.39207788e-05, 1.67841558e-04, 8.39207788e-04, 1.76233635e-03,\n",
       "        1.09097012e-03, 5.87445451e-04, 5.87445451e-04, 5.87445451e-04,\n",
       "        5.87445451e-04, 1.51057402e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 3.02114804e-04, 0.00000000e+00, 6.04229607e-04,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        3.02114804e-04, 3.02114804e-04, 3.02114804e-04, 3.02114804e-04,\n",
       "        7.25075529e-03, 0.00000000e+00, 4.94369679e-03, 5.49299643e-04,\n",
       "        5.49299643e-04, 5.49299643e-04, 5.49299643e-04, 3.57044768e-03,\n",
       "        3.57044768e-03, 3.57044768e-03, 3.57044768e-03, 0.00000000e+00,\n",
       "        2.15796288e-04, 2.15796288e-04, 0.00000000e+00, 1.07898144e-04,\n",
       "        1.07898144e-04, 7.55287009e-04, 0.00000000e+00, 1.07898144e-04,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.78377212e-02,\n",
       "        7.71471731e-03, 7.71471731e-03, 7.71471731e-03, 7.71471731e-03,\n",
       "        7.71471731e-03, 8.41605524e-03, 8.41605524e-03, 8.41605524e-03,\n",
       "        3.34484247e-03, 1.99611567e-03, 8.79369875e-03, 8.79369875e-03,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        1.67841558e-04, 0.00000000e+00, 1.67841558e-03, 1.51057402e-03,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 6.04229607e-05, 1.20845921e-03,\n",
       "        8.45921450e-04, 1.20845921e-03, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 7.85498489e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 3.64621315e-04, 2.60443796e-04,\n",
       "        2.60443796e-04, 2.60443796e-04, 1.40639650e-03, 1.40639650e-03,\n",
       "        1.40639650e-03, 1.40639650e-03, 1.40639650e-03, 1.40639650e-03,\n",
       "        5.20887592e-04, 1.51057402e-03, 1.56266278e-04, 1.56266278e-04,\n",
       "        1.56266278e-04, 1.56266278e-04, 0.00000000e+00, 3.12532555e-04,\n",
       "        3.12532555e-04, 0.00000000e+00, 9.89686426e-04, 1.56266278e-03,\n",
       "        1.87519533e-03, 1.56266278e-03, 4.63589957e-03, 4.63589957e-03,\n",
       "        2.60443796e-04, 0.00000000e+00, 6.25065111e-04, 4.36388050e-03,\n",
       "        6.54582075e-03, 6.88150386e-03, 6.88150386e-03, 6.88150386e-03,\n",
       "        6.88150386e-03, 1.00704935e-03, 1.00704935e-03, 3.86035582e-03,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.13293051e-03,\n",
       "        1.33492588e-03, 1.33492588e-03, 1.33492588e-03, 1.33492588e-03,\n",
       "        1.33492588e-03, 1.33492588e-03, 6.67462938e-04, 7.02592567e-04,\n",
       "        6.67462938e-04, 3.51296283e-05, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 3.51296283e-05, 7.72851823e-04, 6.67462938e-04,\n",
       "        3.51296283e-05, 0.00000000e+00, 3.51296283e-05, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.62074053e-04,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 3.77643505e-04, 3.77643505e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 1.43864192e-04, 1.43864192e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 2.15796288e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        7.19320961e-05, 7.19320961e-05, 7.19320961e-05, 7.19320961e-05,\n",
       "        3.35683115e-04, 8.39207788e-05, 8.39207788e-05, 8.39207788e-05,\n",
       "        0.00000000e+00, 0.00000000e+00, 2.34978181e-03, 2.34978181e-03,\n",
       "        2.34978181e-03, 2.34978181e-03, 2.34978181e-03, 2.34978181e-03,\n",
       "        1.17489090e-03, 5.87445451e-04, 8.39207788e-05, 8.39207788e-05,\n",
       "        8.39207788e-05, 8.39207788e-05, 1.96374622e-02, 0.00000000e+00,\n",
       "        1.51057402e-03, 3.48594004e-04, 3.48594004e-04, 3.48594004e-04,\n",
       "        3.48594004e-04, 3.48594004e-04, 4.41552405e-03, 4.41552405e-03,\n",
       "        0.00000000e+00, 2.32396003e-04, 0.00000000e+00, 5.46130607e-03,\n",
       "        6.39089008e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 6.39476334e-03, 3.82678751e-03, 3.82678751e-03,\n",
       "        3.82678751e-03, 0.00000000e+00, 3.72608258e-03, 3.72608258e-03,\n",
       "        3.72608258e-03, 3.52467271e-03, 6.14300101e-03, 2.76938570e-03,\n",
       "        2.51762336e-03, 2.51762336e-03, 2.51762336e-03, 2.51762336e-04,\n",
       "        2.51762336e-04, 4.33031219e-03, 0.00000000e+00, 4.53172205e-04,\n",
       "        5.03524673e-05, 1.00704935e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        2.41691843e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        4.22960725e-03, 4.22960725e-03, 4.22960725e-03, 4.22960725e-03,\n",
       "        4.22960725e-03, 1.51057402e-03, 2.09156403e-03, 2.20776203e-03,\n",
       "        5.80990007e-05, 5.80990007e-05, 5.80990007e-05, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 1.10388101e-03, 1.10388101e-03,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.16198001e-04,\n",
       "        5.80990007e-05, 5.80990007e-05, 5.80990007e-05, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 1.07898144e-04, 1.07898144e-04, 1.07898144e-04,\n",
       "        1.07898144e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 8.39207788e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 6.04229607e-03, 3.77643505e-04,\n",
       "        9.44108761e-04, 1.32175227e-03, 1.32175227e-03, 1.32175227e-03,\n",
       "        1.13293051e-03, 3.77643505e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 5.03524673e-04, 4.53172205e-03, 0.00000000e+00,\n",
       "        1.07898144e-04, 1.07898144e-04, 0.00000000e+00, 1.07898144e-04,\n",
       "        0.00000000e+00, 1.07898144e-04, 1.07898144e-04, 1.07898144e-04,\n",
       "        1.07898144e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 2.15796288e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 2.66571886e-04, 0.00000000e+00,\n",
       "        0.00000000e+00, 2.66571886e-04, 2.66571886e-04, 2.66571886e-04,\n",
       "        2.66571886e-04, 2.66571886e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 4.44286476e-05, 4.44286476e-05, 4.44286476e-05,\n",
       "        0.00000000e+00, 8.88572952e-05, 4.44286476e-05, 4.44286476e-05,\n",
       "        4.44286476e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        2.15796288e-04, 2.15796288e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        2.15796288e-04, 2.15796288e-04, 1.72637031e-03, 2.71903323e-02,\n",
       "        2.35217954e-02, 2.35217954e-02, 2.35217954e-02, 2.35217954e-02,\n",
       "        1.57531290e-02, 1.57531290e-02, 0.00000000e+00, 1.23363545e-02,\n",
       "        3.95266868e-02, 0.00000000e+00, 0.00000000e+00, 1.23363545e-02,\n",
       "        0.00000000e+00, 9.77430247e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        0.00000000e+00, 1.24400213e-03, 2.22143238e-03, 2.22143238e-03,\n",
       "        1.42171672e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        1.15514484e-03, 1.51057402e-03, 6.79758308e-03, 0.00000000e+00,\n",
       "        0.00000000e+00, 4.90936556e-03, 4.90936556e-03, 0.00000000e+00,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "        1.37324911e-04, 8.23949464e-04, 8.23949464e-04, 8.23949464e-04,\n",
       "        8.23949464e-04, 8.23949464e-04]),\n",
       " 4: array([0.00252048, 0.00252048, 0.00015753, ..., 0.        , 0.        ,\n",
       "        0.00050894])}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(5):\n",
    "    meqtl_labels_dict[i] = np.array(meqtl_labels_dict[i])/len(meqtl_labels_dict[i])\n",
    "meqtl_labels_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data2 = [meqtl_labels_dict[0], meqtl_labels_dict[1], meqtl_labels_dict[2], meqtl_labels_dict[3], meqtl_labels_dict[4]]\n",
    "fig2 = plt.figure(figsize =(10, 7))\n",
    "ax2 = fig2.add_axes([0, 0, 1, 1])\n",
    "boxplt2 = ax2.boxplot(data2)\n",
    "plt.ylabel(\"# of Promoter meQTLs\")\n",
    "plt.title(\"# of Promoter meQTLs vs. 5-state Clustered TAD Domains\")\n",
    "ax2.set_xticklabels(['mixed', 'inactive','active', 'active', 'inactive'])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}