29.9 Health/codes/Health-Dima-270916.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Building a Cities network based on health stats correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import networkx as nx\n",
    "from tqdm import tqdm\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "dat = []\n",
    "for i in range(2):\n",
    "    dat.append(pd.read_excel('..//data//changes.xlsx', sheetname=i))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  dat 4,5,6 including all the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "comb = pd.concat(dat[:2],axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(108, 108) (119, 352)\n",
      "(227, 359)\n"
     ]
    }
   ],
   "source": [
    "print dat[0].shape,dat[1].shape\n",
    "print comb.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "108 108 108\n"
     ]
    }
   ],
   "source": [
    "cols3 = set(dat[0].columns)\n",
    "cols4 = set(dat[0].columns)\n",
    "cols = cols3.intersection(cols4)\n",
    "print len(cols3),len(cols4),len(cols3.intersection(cols4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>p0509_0_4</th>\n",
       "      <th>Rwht_2500s</th>\n",
       "      <th>shemyshuv</th>\n",
       "      <th>per04</th>\n",
       "      <th>p0509f_55_64</th>\n",
       "      <th>Ptot0509</th>\n",
       "      <th>p0509f_35_44</th>\n",
       "      <th>mx0509_standart</th>\n",
       "      <th>Rishp_adjM</th>\n",
       "      <th>dress_wash_oneself_5s</th>\n",
       "      <th>...</th>\n",
       "      <th>ribuitivishnati10</th>\n",
       "      <th>Rishp_up</th>\n",
       "      <th>p0509_15_24</th>\n",
       "      <th>Rptirt0509</th>\n",
       "      <th>p0509_45_54</th>\n",
       "      <th>Rnoshrim0709</th>\n",
       "      <th>PtirTinok0509_ave</th>\n",
       "      <th>p0509f_25_34</th>\n",
       "      <th>p0509_55_64</th>\n",
       "      <th>Maccabi09</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.863291</td>\n",
       "      <td>9.5</td>\n",
       "      <td>ראשפינה</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.139130</td>\n",
       "      <td>2.492928</td>\n",
       "      <td>13.605384</td>\n",
       "      <td>4.723638</td>\n",
       "      <td>151.983215</td>\n",
       "      <td>1.1</td>\n",
       "      <td>...</td>\n",
       "      <td>18.0</td>\n",
       "      <td>153.013189</td>\n",
       "      <td>16.892240</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.282109</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>13.666561</td>\n",
       "      <td>12.662605</td>\n",
       "      <td>23.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.632950</td>\n",
       "      <td>9.1</td>\n",
       "      <td>מזכרתבתיה</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.066605</td>\n",
       "      <td>8.847216</td>\n",
       "      <td>16.439311</td>\n",
       "      <td>5.865813</td>\n",
       "      <td>136.715901</td>\n",
       "      <td>0.7</td>\n",
       "      <td>...</td>\n",
       "      <td>131.0</td>\n",
       "      <td>136.965265</td>\n",
       "      <td>17.009013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.794439</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>11.754542</td>\n",
       "      <td>8.338220</td>\n",
       "      <td>23.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.792913</td>\n",
       "      <td>12.3</td>\n",
       "      <td>אליכין</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.224977</td>\n",
       "      <td>2.757400</td>\n",
       "      <td>14.735239</td>\n",
       "      <td>4.617582</td>\n",
       "      <td>167.708953</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>159.392890</td>\n",
       "      <td>13.854830</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.187208</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>12.861318</td>\n",
       "      <td>6.178319</td>\n",
       "      <td>11.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14.606784</td>\n",
       "      <td>9.2</td>\n",
       "      <td>יבנאל</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.135187</td>\n",
       "      <td>2.975279</td>\n",
       "      <td>10.526087</td>\n",
       "      <td>3.973376</td>\n",
       "      <td>162.011421</td>\n",
       "      <td>3.4</td>\n",
       "      <td>...</td>\n",
       "      <td>76.0</td>\n",
       "      <td>154.070907</td>\n",
       "      <td>16.589723</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.507034</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>12.479337</td>\n",
       "      <td>6.031849</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.804078</td>\n",
       "      <td>10.5</td>\n",
       "      <td>כפרתבור</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.693142</td>\n",
       "      <td>2.562053</td>\n",
       "      <td>14.575374</td>\n",
       "      <td>3.589770</td>\n",
       "      <td>136.238733</td>\n",
       "      <td>1.7</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>129.085125</td>\n",
       "      <td>18.609096</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.571336</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.424216</td>\n",
       "      <td>11.208759</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 108 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   p0509_0_4  Rwht_2500s  shemyshuv  per04  p0509f_55_64  Ptot0509  \\\n",
       "0   7.863291         9.5    ראשפינה    1.0     12.139130  2.492928   \n",
       "1   8.632950         9.1  מזכרתבתיה    4.0      8.066605  8.847216   \n",
       "2  10.792913        12.3     אליכין    3.0      6.224977  2.757400   \n",
       "3  14.606784         9.2      יבנאל    2.0      6.135187  2.975279   \n",
       "4   6.804078        10.5    כפרתבור    2.0      9.693142  2.562053   \n",
       "\n",
       "   p0509f_35_44  mx0509_standart  Rishp_adjM dress_wash_oneself_5s    ...      \\\n",
       "0     13.605384         4.723638  151.983215                   1.1    ...       \n",
       "1     16.439311         5.865813  136.715901                   0.7    ...       \n",
       "2     14.735239         4.617582  167.708953                     2    ...       \n",
       "3     10.526087         3.973376  162.011421                   3.4    ...       \n",
       "4     14.575374         3.589770  136.238733                   1.7    ...       \n",
       "\n",
       "   ribuitivishnati10    Rishp_up  p0509_15_24  Rptirt0509  p0509_45_54  \\\n",
       "0               18.0  153.013189    16.892240         0.0    12.282109   \n",
       "1              131.0  136.965265    17.009013         0.0    13.794439   \n",
       "2               49.0  159.392890    13.854830         0.0    12.187208   \n",
       "3               76.0  154.070907    16.589723         0.0     9.507034   \n",
       "4               25.0  129.085125    18.609096         0.0    15.571336   \n",
       "\n",
       "   Rnoshrim0709  PtirTinok0509_ave  p0509f_25_34  p0509_55_64  Maccabi09  \n",
       "0           2.4                0.4     13.666561    12.662605       23.5  \n",
       "1           2.3                0.2     11.754542     8.338220       23.1  \n",
       "2           1.2                0.2     12.861318     6.178319       11.4  \n",
       "3           7.0                0.4     12.479337     6.031849        6.1  \n",
       "4           0.6                0.0     11.424216    11.208759       13.5  \n",
       "\n",
       "[5 rows x 108 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newcomb = pd.DataFrame(comb,columns = cols)\n",
    "newcomb.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "new = pd.get_dummies(newcomb,columns = ['shem_mahoz','shem_nafa'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = list(new.columns)\n",
    "cols.remove('shemyshuv')\n",
    "newcomb = pd.DataFrame(new, columns=cols)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### new cities dataframe, based on 90 mutual fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(227, 128)\n"
     ]
    }
   ],
   "source": [
    "print newcomb.shape\n",
    "newcomb = newcomb.fillna(newcomb.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "newcomb.to_excel('newcomb2.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transpose tranformation in excel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "TC = pd.read_excel('../data/newcomb.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "## correlation between columns\n",
    "corrcol = newcomb.corr()\n",
    "corrrow = TC.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build Network based on correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rosh_Pina</th>\n",
       "      <th>MazkeretBatia</th>\n",
       "      <th>Elyachin</th>\n",
       "      <th>Yavniel</th>\n",
       "      <th>Kfar_Tavor</th>\n",
       "      <th>Mitzpe_ramon</th>\n",
       "      <th>Ramat_Ishay</th>\n",
       "      <th>Givat_Ada</th>\n",
       "      <th>Pardesiya</th>\n",
       "      <th>Tsur_Moshe</th>\n",
       "      <th>...</th>\n",
       "      <th>Tamra</th>\n",
       "      <th>BeerSheva</th>\n",
       "      <th>Neharia</th>\n",
       "      <th>BeitShean</th>\n",
       "      <th>ZikronYaakov</th>\n",
       "      <th>Yahud</th>\n",
       "      <th>KiryatByalik</th>\n",
       "      <th>KiryatYam</th>\n",
       "      <th>HodHasharon</th>\n",
       "      <th>Binyamina-GivatAda</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rosh_Pina</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999638</td>\n",
       "      <td>0.979909</td>\n",
       "      <td>0.993789</td>\n",
       "      <td>0.996377</td>\n",
       "      <td>0.999311</td>\n",
       "      <td>0.707188</td>\n",
       "      <td>0.998261</td>\n",
       "      <td>0.999828</td>\n",
       "      <td>0.994124</td>\n",
       "      <td>...</td>\n",
       "      <td>0.969758</td>\n",
       "      <td>0.644038</td>\n",
       "      <td>0.979809</td>\n",
       "      <td>0.988444</td>\n",
       "      <td>0.997094</td>\n",
       "      <td>0.996590</td>\n",
       "      <td>0.982279</td>\n",
       "      <td>0.954037</td>\n",
       "      <td>0.995961</td>\n",
       "      <td>0.999028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MazkeretBatia</th>\n",
       "      <td>0.999638</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.981367</td>\n",
       "      <td>0.994466</td>\n",
       "      <td>0.996813</td>\n",
       "      <td>0.999755</td>\n",
       "      <td>0.713577</td>\n",
       "      <td>0.998424</td>\n",
       "      <td>0.999920</td>\n",
       "      <td>0.995441</td>\n",
       "      <td>...</td>\n",
       "      <td>0.971928</td>\n",
       "      <td>0.648355</td>\n",
       "      <td>0.981308</td>\n",
       "      <td>0.989294</td>\n",
       "      <td>0.997125</td>\n",
       "      <td>0.997704</td>\n",
       "      <td>0.983937</td>\n",
       "      <td>0.955363</td>\n",
       "      <td>0.997076</td>\n",
       "      <td>0.999204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elyachin</th>\n",
       "      <td>0.979909</td>\n",
       "      <td>0.981367</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.983033</td>\n",
       "      <td>0.984726</td>\n",
       "      <td>0.982104</td>\n",
       "      <td>0.822285</td>\n",
       "      <td>0.986022</td>\n",
       "      <td>0.980124</td>\n",
       "      <td>0.989847</td>\n",
       "      <td>...</td>\n",
       "      <td>0.993467</td>\n",
       "      <td>0.771517</td>\n",
       "      <td>0.997948</td>\n",
       "      <td>0.997208</td>\n",
       "      <td>0.975661</td>\n",
       "      <td>0.991245</td>\n",
       "      <td>0.997768</td>\n",
       "      <td>0.990089</td>\n",
       "      <td>0.989283</td>\n",
       "      <td>0.979255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yavniel</th>\n",
       "      <td>0.993789</td>\n",
       "      <td>0.994466</td>\n",
       "      <td>0.983033</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999378</td>\n",
       "      <td>0.995896</td>\n",
       "      <td>0.709653</td>\n",
       "      <td>0.997925</td>\n",
       "      <td>0.993594</td>\n",
       "      <td>0.996928</td>\n",
       "      <td>...</td>\n",
       "      <td>0.976219</td>\n",
       "      <td>0.647822</td>\n",
       "      <td>0.978889</td>\n",
       "      <td>0.991984</td>\n",
       "      <td>0.983846</td>\n",
       "      <td>0.996059</td>\n",
       "      <td>0.983892</td>\n",
       "      <td>0.958120</td>\n",
       "      <td>0.989480</td>\n",
       "      <td>0.989667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kfar_Tavor</th>\n",
       "      <td>0.996377</td>\n",
       "      <td>0.996813</td>\n",
       "      <td>0.984726</td>\n",
       "      <td>0.999378</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.997859</td>\n",
       "      <td>0.714654</td>\n",
       "      <td>0.999277</td>\n",
       "      <td>0.996157</td>\n",
       "      <td>0.997429</td>\n",
       "      <td>...</td>\n",
       "      <td>0.978213</td>\n",
       "      <td>0.652637</td>\n",
       "      <td>0.981812</td>\n",
       "      <td>0.993241</td>\n",
       "      <td>0.988459</td>\n",
       "      <td>0.997630</td>\n",
       "      <td>0.985652</td>\n",
       "      <td>0.959584</td>\n",
       "      <td>0.992897</td>\n",
       "      <td>0.993218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mitzpe_ramon</th>\n",
       "      <td>0.999311</td>\n",
       "      <td>0.999755</td>\n",
       "      <td>0.982104</td>\n",
       "      <td>0.995896</td>\n",
       "      <td>0.997859</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.713466</td>\n",
       "      <td>0.998785</td>\n",
       "      <td>0.999554</td>\n",
       "      <td>0.996662</td>\n",
       "      <td>...</td>\n",
       "      <td>0.972989</td>\n",
       "      <td>0.649129</td>\n",
       "      <td>0.981628</td>\n",
       "      <td>0.990296</td>\n",
       "      <td>0.995745</td>\n",
       "      <td>0.998103</td>\n",
       "      <td>0.984958</td>\n",
       "      <td>0.956827</td>\n",
       "      <td>0.996543</td>\n",
       "      <td>0.998384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ramat_Ishay</th>\n",
       "      <td>0.707188</td>\n",
       "      <td>0.713577</td>\n",
       "      <td>0.822285</td>\n",
       "      <td>0.709653</td>\n",
       "      <td>0.714654</td>\n",
       "      <td>0.713466</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.720605</td>\n",
       "      <td>0.710178</td>\n",
       "      <td>0.743606</td>\n",
       "      <td>...</td>\n",
       "      <td>0.815010</td>\n",
       "      <td>0.961571</td>\n",
       "      <td>0.824144</td>\n",
       "      <td>0.780245</td>\n",
       "      <td>0.719746</td>\n",
       "      <td>0.749865</td>\n",
       "      <td>0.811241</td>\n",
       "      <td>0.857539</td>\n",
       "      <td>0.758778</td>\n",
       "      <td>0.718050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Givat_Ada</th>\n",
       "      <td>0.998261</td>\n",
       "      <td>0.998424</td>\n",
       "      <td>0.986022</td>\n",
       "      <td>0.997925</td>\n",
       "      <td>0.999277</td>\n",
       "      <td>0.998785</td>\n",
       "      <td>0.720605</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.998032</td>\n",
       "      <td>0.996987</td>\n",
       "      <td>...</td>\n",
       "      <td>0.978451</td>\n",
       "      <td>0.659380</td>\n",
       "      <td>0.984019</td>\n",
       "      <td>0.993713</td>\n",
       "      <td>0.992248</td>\n",
       "      <td>0.998528</td>\n",
       "      <td>0.986659</td>\n",
       "      <td>0.961126</td>\n",
       "      <td>0.995462</td>\n",
       "      <td>0.995916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pardesiya</th>\n",
       "      <td>0.999828</td>\n",
       "      <td>0.999920</td>\n",
       "      <td>0.980124</td>\n",
       "      <td>0.993594</td>\n",
       "      <td>0.996157</td>\n",
       "      <td>0.999554</td>\n",
       "      <td>0.710178</td>\n",
       "      <td>0.998032</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.994617</td>\n",
       "      <td>...</td>\n",
       "      <td>0.970139</td>\n",
       "      <td>0.645712</td>\n",
       "      <td>0.980353</td>\n",
       "      <td>0.988342</td>\n",
       "      <td>0.997609</td>\n",
       "      <td>0.997043</td>\n",
       "      <td>0.982904</td>\n",
       "      <td>0.954172</td>\n",
       "      <td>0.996730</td>\n",
       "      <td>0.999417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tsur_Moshe</th>\n",
       "      <td>0.994124</td>\n",
       "      <td>0.995441</td>\n",
       "      <td>0.989847</td>\n",
       "      <td>0.996928</td>\n",
       "      <td>0.997429</td>\n",
       "      <td>0.996662</td>\n",
       "      <td>0.743606</td>\n",
       "      <td>0.996987</td>\n",
       "      <td>0.994617</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980954</td>\n",
       "      <td>0.689197</td>\n",
       "      <td>0.988262</td>\n",
       "      <td>0.995989</td>\n",
       "      <td>0.987982</td>\n",
       "      <td>0.998552</td>\n",
       "      <td>0.993222</td>\n",
       "      <td>0.972540</td>\n",
       "      <td>0.994390</td>\n",
       "      <td>0.992308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BeitDagan</th>\n",
       "      <td>0.999655</td>\n",
       "      <td>0.999588</td>\n",
       "      <td>0.980152</td>\n",
       "      <td>0.991609</td>\n",
       "      <td>0.994775</td>\n",
       "      <td>0.998966</td>\n",
       "      <td>0.714930</td>\n",
       "      <td>0.997167</td>\n",
       "      <td>0.999789</td>\n",
       "      <td>0.993356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.969944</td>\n",
       "      <td>0.650063</td>\n",
       "      <td>0.980953</td>\n",
       "      <td>0.987691</td>\n",
       "      <td>0.998623</td>\n",
       "      <td>0.996452</td>\n",
       "      <td>0.982784</td>\n",
       "      <td>0.954499</td>\n",
       "      <td>0.997181</td>\n",
       "      <td>0.999810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AbuGosh</th>\n",
       "      <td>0.997597</td>\n",
       "      <td>0.998867</td>\n",
       "      <td>0.981893</td>\n",
       "      <td>0.992494</td>\n",
       "      <td>0.995333</td>\n",
       "      <td>0.998789</td>\n",
       "      <td>0.725142</td>\n",
       "      <td>0.996434</td>\n",
       "      <td>0.998493</td>\n",
       "      <td>0.995120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974357</td>\n",
       "      <td>0.655751</td>\n",
       "      <td>0.982785</td>\n",
       "      <td>0.988617</td>\n",
       "      <td>0.996746</td>\n",
       "      <td>0.997458</td>\n",
       "      <td>0.984947</td>\n",
       "      <td>0.955578</td>\n",
       "      <td>0.997875</td>\n",
       "      <td>0.998517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boeniyaa</th>\n",
       "      <td>0.996286</td>\n",
       "      <td>0.997946</td>\n",
       "      <td>0.982855</td>\n",
       "      <td>0.993673</td>\n",
       "      <td>0.996048</td>\n",
       "      <td>0.998297</td>\n",
       "      <td>0.727163</td>\n",
       "      <td>0.996311</td>\n",
       "      <td>0.997303</td>\n",
       "      <td>0.996031</td>\n",
       "      <td>...</td>\n",
       "      <td>0.976833</td>\n",
       "      <td>0.658101</td>\n",
       "      <td>0.983289</td>\n",
       "      <td>0.989653</td>\n",
       "      <td>0.994344</td>\n",
       "      <td>0.997634</td>\n",
       "      <td>0.985845</td>\n",
       "      <td>0.956679</td>\n",
       "      <td>0.997116</td>\n",
       "      <td>0.996838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GashGushhlb</th>\n",
       "      <td>0.999027</td>\n",
       "      <td>0.999739</td>\n",
       "      <td>0.980402</td>\n",
       "      <td>0.993342</td>\n",
       "      <td>0.995913</td>\n",
       "      <td>0.999556</td>\n",
       "      <td>0.715245</td>\n",
       "      <td>0.997336</td>\n",
       "      <td>0.999608</td>\n",
       "      <td>0.995218</td>\n",
       "      <td>...</td>\n",
       "      <td>0.970780</td>\n",
       "      <td>0.647832</td>\n",
       "      <td>0.980849</td>\n",
       "      <td>0.988057</td>\n",
       "      <td>0.997477</td>\n",
       "      <td>0.997315</td>\n",
       "      <td>0.983754</td>\n",
       "      <td>0.954512</td>\n",
       "      <td>0.997185</td>\n",
       "      <td>0.999293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Daburiya</th>\n",
       "      <td>0.999523</td>\n",
       "      <td>0.999824</td>\n",
       "      <td>0.983950</td>\n",
       "      <td>0.994255</td>\n",
       "      <td>0.996701</td>\n",
       "      <td>0.999481</td>\n",
       "      <td>0.723412</td>\n",
       "      <td>0.998644</td>\n",
       "      <td>0.999735</td>\n",
       "      <td>0.995600</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974829</td>\n",
       "      <td>0.659171</td>\n",
       "      <td>0.983948</td>\n",
       "      <td>0.990918</td>\n",
       "      <td>0.997179</td>\n",
       "      <td>0.998305</td>\n",
       "      <td>0.985807</td>\n",
       "      <td>0.958749</td>\n",
       "      <td>0.997958</td>\n",
       "      <td>0.999148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DirHina</th>\n",
       "      <td>0.998386</td>\n",
       "      <td>0.999066</td>\n",
       "      <td>0.985269</td>\n",
       "      <td>0.997768</td>\n",
       "      <td>0.998905</td>\n",
       "      <td>0.999419</td>\n",
       "      <td>0.721335</td>\n",
       "      <td>0.999545</td>\n",
       "      <td>0.998607</td>\n",
       "      <td>0.997816</td>\n",
       "      <td>...</td>\n",
       "      <td>0.976992</td>\n",
       "      <td>0.657991</td>\n",
       "      <td>0.983758</td>\n",
       "      <td>0.992806</td>\n",
       "      <td>0.993279</td>\n",
       "      <td>0.999005</td>\n",
       "      <td>0.986973</td>\n",
       "      <td>0.960491</td>\n",
       "      <td>0.996257</td>\n",
       "      <td>0.996751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Horpish</th>\n",
       "      <td>0.998640</td>\n",
       "      <td>0.998831</td>\n",
       "      <td>0.987844</td>\n",
       "      <td>0.992728</td>\n",
       "      <td>0.995594</td>\n",
       "      <td>0.998355</td>\n",
       "      <td>0.741422</td>\n",
       "      <td>0.998065</td>\n",
       "      <td>0.998753</td>\n",
       "      <td>0.995383</td>\n",
       "      <td>...</td>\n",
       "      <td>0.978650</td>\n",
       "      <td>0.679704</td>\n",
       "      <td>0.988182</td>\n",
       "      <td>0.993069</td>\n",
       "      <td>0.996956</td>\n",
       "      <td>0.998557</td>\n",
       "      <td>0.989044</td>\n",
       "      <td>0.965170</td>\n",
       "      <td>0.998867</td>\n",
       "      <td>0.998585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kvakbavelig</th>\n",
       "      <td>0.975953</td>\n",
       "      <td>0.978129</td>\n",
       "      <td>0.996981</td>\n",
       "      <td>0.981744</td>\n",
       "      <td>0.983186</td>\n",
       "      <td>0.978866</td>\n",
       "      <td>0.818300</td>\n",
       "      <td>0.983831</td>\n",
       "      <td>0.976408</td>\n",
       "      <td>0.985487</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997201</td>\n",
       "      <td>0.757333</td>\n",
       "      <td>0.994451</td>\n",
       "      <td>0.994021</td>\n",
       "      <td>0.971074</td>\n",
       "      <td>0.988874</td>\n",
       "      <td>0.991548</td>\n",
       "      <td>0.979001</td>\n",
       "      <td>0.987066</td>\n",
       "      <td>0.975263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eilot</th>\n",
       "      <td>0.992139</td>\n",
       "      <td>0.992956</td>\n",
       "      <td>0.989115</td>\n",
       "      <td>0.999132</td>\n",
       "      <td>0.998724</td>\n",
       "      <td>0.994501</td>\n",
       "      <td>0.734987</td>\n",
       "      <td>0.997441</td>\n",
       "      <td>0.991911</td>\n",
       "      <td>0.997747</td>\n",
       "      <td>...</td>\n",
       "      <td>0.982796</td>\n",
       "      <td>0.676939</td>\n",
       "      <td>0.985129</td>\n",
       "      <td>0.995826</td>\n",
       "      <td>0.982362</td>\n",
       "      <td>0.996893</td>\n",
       "      <td>0.989286</td>\n",
       "      <td>0.968001</td>\n",
       "      <td>0.990470</td>\n",
       "      <td>0.988207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KfatMetzer</th>\n",
       "      <td>0.991998</td>\n",
       "      <td>0.992931</td>\n",
       "      <td>0.987095</td>\n",
       "      <td>0.998943</td>\n",
       "      <td>0.998726</td>\n",
       "      <td>0.994411</td>\n",
       "      <td>0.726583</td>\n",
       "      <td>0.997324</td>\n",
       "      <td>0.991839</td>\n",
       "      <td>0.996846</td>\n",
       "      <td>...</td>\n",
       "      <td>0.983323</td>\n",
       "      <td>0.667928</td>\n",
       "      <td>0.983316</td>\n",
       "      <td>0.994727</td>\n",
       "      <td>0.982251</td>\n",
       "      <td>0.996321</td>\n",
       "      <td>0.987095</td>\n",
       "      <td>0.963811</td>\n",
       "      <td>0.990132</td>\n",
       "      <td>0.988118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mizra</th>\n",
       "      <td>0.995179</td>\n",
       "      <td>0.995582</td>\n",
       "      <td>0.990815</td>\n",
       "      <td>0.994906</td>\n",
       "      <td>0.997175</td>\n",
       "      <td>0.996121</td>\n",
       "      <td>0.746036</td>\n",
       "      <td>0.997784</td>\n",
       "      <td>0.994997</td>\n",
       "      <td>0.996168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987710</td>\n",
       "      <td>0.689481</td>\n",
       "      <td>0.990374</td>\n",
       "      <td>0.996601</td>\n",
       "      <td>0.990155</td>\n",
       "      <td>0.998130</td>\n",
       "      <td>0.990908</td>\n",
       "      <td>0.968698</td>\n",
       "      <td>0.996275</td>\n",
       "      <td>0.993544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miilia</th>\n",
       "      <td>0.996166</td>\n",
       "      <td>0.996341</td>\n",
       "      <td>0.988494</td>\n",
       "      <td>0.990869</td>\n",
       "      <td>0.994536</td>\n",
       "      <td>0.996114</td>\n",
       "      <td>0.747936</td>\n",
       "      <td>0.996468</td>\n",
       "      <td>0.996095</td>\n",
       "      <td>0.993151</td>\n",
       "      <td>...</td>\n",
       "      <td>0.984454</td>\n",
       "      <td>0.685860</td>\n",
       "      <td>0.989453</td>\n",
       "      <td>0.993335</td>\n",
       "      <td>0.994461</td>\n",
       "      <td>0.997113</td>\n",
       "      <td>0.988424</td>\n",
       "      <td>0.964432</td>\n",
       "      <td>0.998009</td>\n",
       "      <td>0.996162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mashad</th>\n",
       "      <td>0.992654</td>\n",
       "      <td>0.991770</td>\n",
       "      <td>0.974923</td>\n",
       "      <td>0.975749</td>\n",
       "      <td>0.982183</td>\n",
       "      <td>0.989987</td>\n",
       "      <td>0.734361</td>\n",
       "      <td>0.987024</td>\n",
       "      <td>0.992576</td>\n",
       "      <td>0.981444</td>\n",
       "      <td>...</td>\n",
       "      <td>0.965179</td>\n",
       "      <td>0.671605</td>\n",
       "      <td>0.979060</td>\n",
       "      <td>0.979542</td>\n",
       "      <td>0.997358</td>\n",
       "      <td>0.987615</td>\n",
       "      <td>0.977153</td>\n",
       "      <td>0.951626</td>\n",
       "      <td>0.993539</td>\n",
       "      <td>0.995496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EinNekuba</th>\n",
       "      <td>0.986804</td>\n",
       "      <td>0.987136</td>\n",
       "      <td>0.993054</td>\n",
       "      <td>0.981527</td>\n",
       "      <td>0.986004</td>\n",
       "      <td>0.986889</td>\n",
       "      <td>0.787178</td>\n",
       "      <td>0.988716</td>\n",
       "      <td>0.986715</td>\n",
       "      <td>0.988008</td>\n",
       "      <td>...</td>\n",
       "      <td>0.991931</td>\n",
       "      <td>0.739973</td>\n",
       "      <td>0.995447</td>\n",
       "      <td>0.994554</td>\n",
       "      <td>0.986129</td>\n",
       "      <td>0.992021</td>\n",
       "      <td>0.992181</td>\n",
       "      <td>0.976630</td>\n",
       "      <td>0.994224</td>\n",
       "      <td>0.987411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sagur</th>\n",
       "      <td>0.994665</td>\n",
       "      <td>0.994752</td>\n",
       "      <td>0.988031</td>\n",
       "      <td>0.994198</td>\n",
       "      <td>0.996782</td>\n",
       "      <td>0.995276</td>\n",
       "      <td>0.736609</td>\n",
       "      <td>0.997230</td>\n",
       "      <td>0.994204</td>\n",
       "      <td>0.994102</td>\n",
       "      <td>...</td>\n",
       "      <td>0.985273</td>\n",
       "      <td>0.677710</td>\n",
       "      <td>0.987138</td>\n",
       "      <td>0.994492</td>\n",
       "      <td>0.989258</td>\n",
       "      <td>0.996436</td>\n",
       "      <td>0.987617</td>\n",
       "      <td>0.964171</td>\n",
       "      <td>0.994399</td>\n",
       "      <td>0.992712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sulam</th>\n",
       "      <td>0.989253</td>\n",
       "      <td>0.987786</td>\n",
       "      <td>0.962320</td>\n",
       "      <td>0.967717</td>\n",
       "      <td>0.974977</td>\n",
       "      <td>0.985389</td>\n",
       "      <td>0.707972</td>\n",
       "      <td>0.980771</td>\n",
       "      <td>0.989124</td>\n",
       "      <td>0.973200</td>\n",
       "      <td>...</td>\n",
       "      <td>0.950322</td>\n",
       "      <td>0.643019</td>\n",
       "      <td>0.967599</td>\n",
       "      <td>0.968635</td>\n",
       "      <td>0.995916</td>\n",
       "      <td>0.980209</td>\n",
       "      <td>0.965830</td>\n",
       "      <td>0.936626</td>\n",
       "      <td>0.987694</td>\n",
       "      <td>0.992795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uzeir</th>\n",
       "      <td>0.992727</td>\n",
       "      <td>0.993163</td>\n",
       "      <td>0.982464</td>\n",
       "      <td>0.999539</td>\n",
       "      <td>0.999001</td>\n",
       "      <td>0.994762</td>\n",
       "      <td>0.707823</td>\n",
       "      <td>0.997222</td>\n",
       "      <td>0.992287</td>\n",
       "      <td>0.995914</td>\n",
       "      <td>...</td>\n",
       "      <td>0.977444</td>\n",
       "      <td>0.647280</td>\n",
       "      <td>0.978349</td>\n",
       "      <td>0.991766</td>\n",
       "      <td>0.982082</td>\n",
       "      <td>0.994988</td>\n",
       "      <td>0.983007</td>\n",
       "      <td>0.957489</td>\n",
       "      <td>0.988119</td>\n",
       "      <td>0.988159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ilaboun</th>\n",
       "      <td>0.993472</td>\n",
       "      <td>0.994216</td>\n",
       "      <td>0.988701</td>\n",
       "      <td>0.998151</td>\n",
       "      <td>0.998760</td>\n",
       "      <td>0.995308</td>\n",
       "      <td>0.733152</td>\n",
       "      <td>0.998092</td>\n",
       "      <td>0.993259</td>\n",
       "      <td>0.996669</td>\n",
       "      <td>...</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.673520</td>\n",
       "      <td>0.985729</td>\n",
       "      <td>0.995576</td>\n",
       "      <td>0.985171</td>\n",
       "      <td>0.997256</td>\n",
       "      <td>0.988315</td>\n",
       "      <td>0.965247</td>\n",
       "      <td>0.992383</td>\n",
       "      <td>0.990273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pasuta</th>\n",
       "      <td>0.991479</td>\n",
       "      <td>0.991998</td>\n",
       "      <td>0.989098</td>\n",
       "      <td>0.996653</td>\n",
       "      <td>0.997573</td>\n",
       "      <td>0.993287</td>\n",
       "      <td>0.737386</td>\n",
       "      <td>0.996626</td>\n",
       "      <td>0.991018</td>\n",
       "      <td>0.995280</td>\n",
       "      <td>...</td>\n",
       "      <td>0.986949</td>\n",
       "      <td>0.680716</td>\n",
       "      <td>0.986390</td>\n",
       "      <td>0.995812</td>\n",
       "      <td>0.982731</td>\n",
       "      <td>0.995800</td>\n",
       "      <td>0.988368</td>\n",
       "      <td>0.966687</td>\n",
       "      <td>0.990861</td>\n",
       "      <td>0.987982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pkiin</th>\n",
       "      <td>0.992051</td>\n",
       "      <td>0.993127</td>\n",
       "      <td>0.996320</td>\n",
       "      <td>0.990402</td>\n",
       "      <td>0.992872</td>\n",
       "      <td>0.993454</td>\n",
       "      <td>0.783964</td>\n",
       "      <td>0.994457</td>\n",
       "      <td>0.992432</td>\n",
       "      <td>0.996188</td>\n",
       "      <td>...</td>\n",
       "      <td>0.989384</td>\n",
       "      <td>0.728944</td>\n",
       "      <td>0.996487</td>\n",
       "      <td>0.997937</td>\n",
       "      <td>0.989619</td>\n",
       "      <td>0.997955</td>\n",
       "      <td>0.997117</td>\n",
       "      <td>0.980943</td>\n",
       "      <td>0.997383</td>\n",
       "      <td>0.992115</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>KiryatAta</th>\n",
       "      <td>0.962994</td>\n",
       "      <td>0.965470</td>\n",
       "      <td>0.992214</td>\n",
       "      <td>0.962634</td>\n",
       "      <td>0.965867</td>\n",
       "      <td>0.966399</td>\n",
       "      <td>0.852471</td>\n",
       "      <td>0.967661</td>\n",
       "      <td>0.964229</td>\n",
       "      <td>0.978462</td>\n",
       "      <td>...</td>\n",
       "      <td>0.984665</td>\n",
       "      <td>0.818344</td>\n",
       "      <td>0.995091</td>\n",
       "      <td>0.986911</td>\n",
       "      <td>0.963371</td>\n",
       "      <td>0.977899</td>\n",
       "      <td>0.995231</td>\n",
       "      <td>0.994965</td>\n",
       "      <td>0.978700</td>\n",
       "      <td>0.965292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KfarSaba</th>\n",
       "      <td>0.977471</td>\n",
       "      <td>0.979858</td>\n",
       "      <td>0.997402</td>\n",
       "      <td>0.976593</td>\n",
       "      <td>0.979485</td>\n",
       "      <td>0.980208</td>\n",
       "      <td>0.832764</td>\n",
       "      <td>0.981641</td>\n",
       "      <td>0.978640</td>\n",
       "      <td>0.987266</td>\n",
       "      <td>...</td>\n",
       "      <td>0.992325</td>\n",
       "      <td>0.781815</td>\n",
       "      <td>0.999004</td>\n",
       "      <td>0.993698</td>\n",
       "      <td>0.977540</td>\n",
       "      <td>0.989581</td>\n",
       "      <td>0.997386</td>\n",
       "      <td>0.988222</td>\n",
       "      <td>0.990738</td>\n",
       "      <td>0.979471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lod</th>\n",
       "      <td>0.910977</td>\n",
       "      <td>0.913200</td>\n",
       "      <td>0.971841</td>\n",
       "      <td>0.915714</td>\n",
       "      <td>0.918525</td>\n",
       "      <td>0.913681</td>\n",
       "      <td>0.911697</td>\n",
       "      <td>0.922339</td>\n",
       "      <td>0.911286</td>\n",
       "      <td>0.932043</td>\n",
       "      <td>...</td>\n",
       "      <td>0.972186</td>\n",
       "      <td>0.890337</td>\n",
       "      <td>0.972493</td>\n",
       "      <td>0.957103</td>\n",
       "      <td>0.909528</td>\n",
       "      <td>0.935283</td>\n",
       "      <td>0.964897</td>\n",
       "      <td>0.980774</td>\n",
       "      <td>0.936476</td>\n",
       "      <td>0.912090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ashkelon</th>\n",
       "      <td>0.801841</td>\n",
       "      <td>0.807815</td>\n",
       "      <td>0.892969</td>\n",
       "      <td>0.804535</td>\n",
       "      <td>0.809256</td>\n",
       "      <td>0.809418</td>\n",
       "      <td>0.969516</td>\n",
       "      <td>0.812012</td>\n",
       "      <td>0.804983</td>\n",
       "      <td>0.839807</td>\n",
       "      <td>...</td>\n",
       "      <td>0.883147</td>\n",
       "      <td>0.954016</td>\n",
       "      <td>0.897677</td>\n",
       "      <td>0.864582</td>\n",
       "      <td>0.810770</td>\n",
       "      <td>0.837929</td>\n",
       "      <td>0.894110</td>\n",
       "      <td>0.930848</td>\n",
       "      <td>0.843200</td>\n",
       "      <td>0.810597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NesTziona</th>\n",
       "      <td>0.995279</td>\n",
       "      <td>0.997034</td>\n",
       "      <td>0.989856</td>\n",
       "      <td>0.992655</td>\n",
       "      <td>0.995040</td>\n",
       "      <td>0.997249</td>\n",
       "      <td>0.757436</td>\n",
       "      <td>0.996062</td>\n",
       "      <td>0.996303</td>\n",
       "      <td>0.997088</td>\n",
       "      <td>...</td>\n",
       "      <td>0.982371</td>\n",
       "      <td>0.690926</td>\n",
       "      <td>0.990100</td>\n",
       "      <td>0.993545</td>\n",
       "      <td>0.994010</td>\n",
       "      <td>0.998978</td>\n",
       "      <td>0.991916</td>\n",
       "      <td>0.968069</td>\n",
       "      <td>0.998867</td>\n",
       "      <td>0.996239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nazareth</th>\n",
       "      <td>0.892644</td>\n",
       "      <td>0.896378</td>\n",
       "      <td>0.958325</td>\n",
       "      <td>0.900798</td>\n",
       "      <td>0.904007</td>\n",
       "      <td>0.897462</td>\n",
       "      <td>0.906582</td>\n",
       "      <td>0.906125</td>\n",
       "      <td>0.893762</td>\n",
       "      <td>0.917667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.970435</td>\n",
       "      <td>0.888566</td>\n",
       "      <td>0.962137</td>\n",
       "      <td>0.944592</td>\n",
       "      <td>0.891371</td>\n",
       "      <td>0.921083</td>\n",
       "      <td>0.951632</td>\n",
       "      <td>0.964235</td>\n",
       "      <td>0.922985</td>\n",
       "      <td>0.894544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netania</th>\n",
       "      <td>0.698792</td>\n",
       "      <td>0.705914</td>\n",
       "      <td>0.816665</td>\n",
       "      <td>0.705350</td>\n",
       "      <td>0.709698</td>\n",
       "      <td>0.707754</td>\n",
       "      <td>0.982887</td>\n",
       "      <td>0.713034</td>\n",
       "      <td>0.702336</td>\n",
       "      <td>0.745663</td>\n",
       "      <td>...</td>\n",
       "      <td>0.809841</td>\n",
       "      <td>0.980924</td>\n",
       "      <td>0.821000</td>\n",
       "      <td>0.779601</td>\n",
       "      <td>0.708895</td>\n",
       "      <td>0.744058</td>\n",
       "      <td>0.814464</td>\n",
       "      <td>0.866686</td>\n",
       "      <td>0.750094</td>\n",
       "      <td>0.708685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sakhnin</th>\n",
       "      <td>0.981175</td>\n",
       "      <td>0.982815</td>\n",
       "      <td>0.994668</td>\n",
       "      <td>0.984015</td>\n",
       "      <td>0.986546</td>\n",
       "      <td>0.983418</td>\n",
       "      <td>0.797270</td>\n",
       "      <td>0.987227</td>\n",
       "      <td>0.981439</td>\n",
       "      <td>0.987270</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997980</td>\n",
       "      <td>0.738739</td>\n",
       "      <td>0.994291</td>\n",
       "      <td>0.994654</td>\n",
       "      <td>0.977162</td>\n",
       "      <td>0.991125</td>\n",
       "      <td>0.990652</td>\n",
       "      <td>0.973971</td>\n",
       "      <td>0.990540</td>\n",
       "      <td>0.980682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akko</th>\n",
       "      <td>0.943911</td>\n",
       "      <td>0.945430</td>\n",
       "      <td>0.987067</td>\n",
       "      <td>0.950797</td>\n",
       "      <td>0.952626</td>\n",
       "      <td>0.946742</td>\n",
       "      <td>0.859836</td>\n",
       "      <td>0.954227</td>\n",
       "      <td>0.943824</td>\n",
       "      <td>0.962973</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987730</td>\n",
       "      <td>0.843147</td>\n",
       "      <td>0.987878</td>\n",
       "      <td>0.981179</td>\n",
       "      <td>0.938210</td>\n",
       "      <td>0.963008</td>\n",
       "      <td>0.984418</td>\n",
       "      <td>0.991272</td>\n",
       "      <td>0.960849</td>\n",
       "      <td>0.942446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afula</th>\n",
       "      <td>0.948836</td>\n",
       "      <td>0.951522</td>\n",
       "      <td>0.988343</td>\n",
       "      <td>0.954818</td>\n",
       "      <td>0.956679</td>\n",
       "      <td>0.953295</td>\n",
       "      <td>0.858666</td>\n",
       "      <td>0.957392</td>\n",
       "      <td>0.949790</td>\n",
       "      <td>0.970362</td>\n",
       "      <td>...</td>\n",
       "      <td>0.984578</td>\n",
       "      <td>0.838532</td>\n",
       "      <td>0.989683</td>\n",
       "      <td>0.982821</td>\n",
       "      <td>0.945290</td>\n",
       "      <td>0.967929</td>\n",
       "      <td>0.990082</td>\n",
       "      <td>0.995373</td>\n",
       "      <td>0.966012</td>\n",
       "      <td>0.949113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PardesHana-Karkur</th>\n",
       "      <td>0.990165</td>\n",
       "      <td>0.992480</td>\n",
       "      <td>0.992653</td>\n",
       "      <td>0.989088</td>\n",
       "      <td>0.991597</td>\n",
       "      <td>0.993159</td>\n",
       "      <td>0.779940</td>\n",
       "      <td>0.992094</td>\n",
       "      <td>0.991459</td>\n",
       "      <td>0.996242</td>\n",
       "      <td>...</td>\n",
       "      <td>0.985686</td>\n",
       "      <td>0.718685</td>\n",
       "      <td>0.993339</td>\n",
       "      <td>0.994477</td>\n",
       "      <td>0.989162</td>\n",
       "      <td>0.996990</td>\n",
       "      <td>0.995435</td>\n",
       "      <td>0.976073</td>\n",
       "      <td>0.996784</td>\n",
       "      <td>0.991602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PetahTikva</th>\n",
       "      <td>0.800301</td>\n",
       "      <td>0.808765</td>\n",
       "      <td>0.889813</td>\n",
       "      <td>0.805308</td>\n",
       "      <td>0.810357</td>\n",
       "      <td>0.810301</td>\n",
       "      <td>0.959712</td>\n",
       "      <td>0.812118</td>\n",
       "      <td>0.804993</td>\n",
       "      <td>0.838317</td>\n",
       "      <td>...</td>\n",
       "      <td>0.895258</td>\n",
       "      <td>0.930383</td>\n",
       "      <td>0.897053</td>\n",
       "      <td>0.862771</td>\n",
       "      <td>0.811163</td>\n",
       "      <td>0.839697</td>\n",
       "      <td>0.888522</td>\n",
       "      <td>0.912728</td>\n",
       "      <td>0.847446</td>\n",
       "      <td>0.811056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tzfat</th>\n",
       "      <td>0.961539</td>\n",
       "      <td>0.963252</td>\n",
       "      <td>0.995175</td>\n",
       "      <td>0.968796</td>\n",
       "      <td>0.970433</td>\n",
       "      <td>0.964406</td>\n",
       "      <td>0.841797</td>\n",
       "      <td>0.971269</td>\n",
       "      <td>0.961525</td>\n",
       "      <td>0.976301</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996558</td>\n",
       "      <td>0.804219</td>\n",
       "      <td>0.993557</td>\n",
       "      <td>0.990683</td>\n",
       "      <td>0.955487</td>\n",
       "      <td>0.977864</td>\n",
       "      <td>0.990336</td>\n",
       "      <td>0.988247</td>\n",
       "      <td>0.975542</td>\n",
       "      <td>0.960032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KiryatMotzkin</th>\n",
       "      <td>0.983431</td>\n",
       "      <td>0.984996</td>\n",
       "      <td>0.997907</td>\n",
       "      <td>0.983889</td>\n",
       "      <td>0.985857</td>\n",
       "      <td>0.985800</td>\n",
       "      <td>0.812917</td>\n",
       "      <td>0.987204</td>\n",
       "      <td>0.984046</td>\n",
       "      <td>0.993106</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987674</td>\n",
       "      <td>0.764773</td>\n",
       "      <td>0.997876</td>\n",
       "      <td>0.996602</td>\n",
       "      <td>0.980840</td>\n",
       "      <td>0.993078</td>\n",
       "      <td>0.999778</td>\n",
       "      <td>0.991099</td>\n",
       "      <td>0.991621</td>\n",
       "      <td>0.983708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RishonLeTzion</th>\n",
       "      <td>0.821197</td>\n",
       "      <td>0.825987</td>\n",
       "      <td>0.911593</td>\n",
       "      <td>0.824190</td>\n",
       "      <td>0.828554</td>\n",
       "      <td>0.826448</td>\n",
       "      <td>0.970355</td>\n",
       "      <td>0.833765</td>\n",
       "      <td>0.823293</td>\n",
       "      <td>0.852453</td>\n",
       "      <td>...</td>\n",
       "      <td>0.912445</td>\n",
       "      <td>0.955360</td>\n",
       "      <td>0.916708</td>\n",
       "      <td>0.884742</td>\n",
       "      <td>0.827605</td>\n",
       "      <td>0.856635</td>\n",
       "      <td>0.905249</td>\n",
       "      <td>0.936934</td>\n",
       "      <td>0.862643</td>\n",
       "      <td>0.827714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rehovot</th>\n",
       "      <td>0.927124</td>\n",
       "      <td>0.931719</td>\n",
       "      <td>0.977629</td>\n",
       "      <td>0.928405</td>\n",
       "      <td>0.932013</td>\n",
       "      <td>0.932185</td>\n",
       "      <td>0.915429</td>\n",
       "      <td>0.934609</td>\n",
       "      <td>0.929435</td>\n",
       "      <td>0.946868</td>\n",
       "      <td>...</td>\n",
       "      <td>0.973119</td>\n",
       "      <td>0.859769</td>\n",
       "      <td>0.978856</td>\n",
       "      <td>0.961378</td>\n",
       "      <td>0.931713</td>\n",
       "      <td>0.950263</td>\n",
       "      <td>0.974120</td>\n",
       "      <td>0.979579</td>\n",
       "      <td>0.954077</td>\n",
       "      <td>0.932721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ramla</th>\n",
       "      <td>0.898709</td>\n",
       "      <td>0.901487</td>\n",
       "      <td>0.964536</td>\n",
       "      <td>0.905419</td>\n",
       "      <td>0.908145</td>\n",
       "      <td>0.902491</td>\n",
       "      <td>0.913967</td>\n",
       "      <td>0.911134</td>\n",
       "      <td>0.899329</td>\n",
       "      <td>0.924016</td>\n",
       "      <td>...</td>\n",
       "      <td>0.967053</td>\n",
       "      <td>0.902882</td>\n",
       "      <td>0.966483</td>\n",
       "      <td>0.950011</td>\n",
       "      <td>0.896869</td>\n",
       "      <td>0.925519</td>\n",
       "      <td>0.959365</td>\n",
       "      <td>0.978000</td>\n",
       "      <td>0.926242</td>\n",
       "      <td>0.899878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RamatGan</th>\n",
       "      <td>0.908030</td>\n",
       "      <td>0.911238</td>\n",
       "      <td>0.969664</td>\n",
       "      <td>0.912475</td>\n",
       "      <td>0.914561</td>\n",
       "      <td>0.912209</td>\n",
       "      <td>0.930680</td>\n",
       "      <td>0.917712</td>\n",
       "      <td>0.909189</td>\n",
       "      <td>0.932109</td>\n",
       "      <td>...</td>\n",
       "      <td>0.958435</td>\n",
       "      <td>0.893833</td>\n",
       "      <td>0.968973</td>\n",
       "      <td>0.951242</td>\n",
       "      <td>0.908759</td>\n",
       "      <td>0.933212</td>\n",
       "      <td>0.966108</td>\n",
       "      <td>0.984993</td>\n",
       "      <td>0.933670</td>\n",
       "      <td>0.910996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raanana</th>\n",
       "      <td>0.989291</td>\n",
       "      <td>0.989337</td>\n",
       "      <td>0.993798</td>\n",
       "      <td>0.983645</td>\n",
       "      <td>0.986715</td>\n",
       "      <td>0.988515</td>\n",
       "      <td>0.788112</td>\n",
       "      <td>0.990868</td>\n",
       "      <td>0.989123</td>\n",
       "      <td>0.988759</td>\n",
       "      <td>...</td>\n",
       "      <td>0.986186</td>\n",
       "      <td>0.735503</td>\n",
       "      <td>0.994533</td>\n",
       "      <td>0.994154</td>\n",
       "      <td>0.988134</td>\n",
       "      <td>0.993631</td>\n",
       "      <td>0.991891</td>\n",
       "      <td>0.977140</td>\n",
       "      <td>0.994962</td>\n",
       "      <td>0.989394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shfaram</th>\n",
       "      <td>0.978274</td>\n",
       "      <td>0.980190</td>\n",
       "      <td>0.995189</td>\n",
       "      <td>0.978611</td>\n",
       "      <td>0.981854</td>\n",
       "      <td>0.980474</td>\n",
       "      <td>0.812611</td>\n",
       "      <td>0.983523</td>\n",
       "      <td>0.978928</td>\n",
       "      <td>0.985524</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997975</td>\n",
       "      <td>0.762190</td>\n",
       "      <td>0.997084</td>\n",
       "      <td>0.994081</td>\n",
       "      <td>0.976560</td>\n",
       "      <td>0.989337</td>\n",
       "      <td>0.992825</td>\n",
       "      <td>0.979179</td>\n",
       "      <td>0.990411</td>\n",
       "      <td>0.979079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tamra</th>\n",
       "      <td>0.969758</td>\n",
       "      <td>0.971928</td>\n",
       "      <td>0.993467</td>\n",
       "      <td>0.976219</td>\n",
       "      <td>0.978213</td>\n",
       "      <td>0.972989</td>\n",
       "      <td>0.815010</td>\n",
       "      <td>0.978451</td>\n",
       "      <td>0.970139</td>\n",
       "      <td>0.980954</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.766662</td>\n",
       "      <td>0.993006</td>\n",
       "      <td>0.992037</td>\n",
       "      <td>0.964391</td>\n",
       "      <td>0.983885</td>\n",
       "      <td>0.988793</td>\n",
       "      <td>0.977231</td>\n",
       "      <td>0.982405</td>\n",
       "      <td>0.968782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BeerSheva</th>\n",
       "      <td>0.644038</td>\n",
       "      <td>0.648355</td>\n",
       "      <td>0.771517</td>\n",
       "      <td>0.647822</td>\n",
       "      <td>0.652637</td>\n",
       "      <td>0.649129</td>\n",
       "      <td>0.961571</td>\n",
       "      <td>0.659380</td>\n",
       "      <td>0.645712</td>\n",
       "      <td>0.689197</td>\n",
       "      <td>...</td>\n",
       "      <td>0.766662</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.778244</td>\n",
       "      <td>0.734466</td>\n",
       "      <td>0.652112</td>\n",
       "      <td>0.688863</td>\n",
       "      <td>0.767191</td>\n",
       "      <td>0.832502</td>\n",
       "      <td>0.695327</td>\n",
       "      <td>0.651253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neharia</th>\n",
       "      <td>0.979809</td>\n",
       "      <td>0.981308</td>\n",
       "      <td>0.997948</td>\n",
       "      <td>0.978889</td>\n",
       "      <td>0.981812</td>\n",
       "      <td>0.981628</td>\n",
       "      <td>0.824144</td>\n",
       "      <td>0.984019</td>\n",
       "      <td>0.980353</td>\n",
       "      <td>0.988262</td>\n",
       "      <td>...</td>\n",
       "      <td>0.993006</td>\n",
       "      <td>0.778244</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.995758</td>\n",
       "      <td>0.978414</td>\n",
       "      <td>0.990542</td>\n",
       "      <td>0.997950</td>\n",
       "      <td>0.989244</td>\n",
       "      <td>0.990967</td>\n",
       "      <td>0.980628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BeitShean</th>\n",
       "      <td>0.988444</td>\n",
       "      <td>0.989294</td>\n",
       "      <td>0.997208</td>\n",
       "      <td>0.991984</td>\n",
       "      <td>0.993241</td>\n",
       "      <td>0.990296</td>\n",
       "      <td>0.780245</td>\n",
       "      <td>0.993713</td>\n",
       "      <td>0.988342</td>\n",
       "      <td>0.995989</td>\n",
       "      <td>...</td>\n",
       "      <td>0.992037</td>\n",
       "      <td>0.734466</td>\n",
       "      <td>0.995758</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.981949</td>\n",
       "      <td>0.996198</td>\n",
       "      <td>0.997085</td>\n",
       "      <td>0.983644</td>\n",
       "      <td>0.992772</td>\n",
       "      <td>0.986245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZikronYaakov</th>\n",
       "      <td>0.997094</td>\n",
       "      <td>0.997125</td>\n",
       "      <td>0.975661</td>\n",
       "      <td>0.983846</td>\n",
       "      <td>0.988459</td>\n",
       "      <td>0.995745</td>\n",
       "      <td>0.719746</td>\n",
       "      <td>0.992248</td>\n",
       "      <td>0.997609</td>\n",
       "      <td>0.987982</td>\n",
       "      <td>...</td>\n",
       "      <td>0.964391</td>\n",
       "      <td>0.652112</td>\n",
       "      <td>0.978414</td>\n",
       "      <td>0.981949</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.992646</td>\n",
       "      <td>0.978947</td>\n",
       "      <td>0.949781</td>\n",
       "      <td>0.996421</td>\n",
       "      <td>0.999339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yahud</th>\n",
       "      <td>0.996590</td>\n",
       "      <td>0.997704</td>\n",
       "      <td>0.991245</td>\n",
       "      <td>0.996059</td>\n",
       "      <td>0.997630</td>\n",
       "      <td>0.998103</td>\n",
       "      <td>0.749865</td>\n",
       "      <td>0.998528</td>\n",
       "      <td>0.997043</td>\n",
       "      <td>0.998552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.983885</td>\n",
       "      <td>0.688863</td>\n",
       "      <td>0.990542</td>\n",
       "      <td>0.996198</td>\n",
       "      <td>0.992646</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.992587</td>\n",
       "      <td>0.969939</td>\n",
       "      <td>0.998118</td>\n",
       "      <td>0.995804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KiryatByalik</th>\n",
       "      <td>0.982279</td>\n",
       "      <td>0.983937</td>\n",
       "      <td>0.997768</td>\n",
       "      <td>0.983892</td>\n",
       "      <td>0.985652</td>\n",
       "      <td>0.984958</td>\n",
       "      <td>0.811241</td>\n",
       "      <td>0.986659</td>\n",
       "      <td>0.982904</td>\n",
       "      <td>0.993222</td>\n",
       "      <td>...</td>\n",
       "      <td>0.988793</td>\n",
       "      <td>0.767191</td>\n",
       "      <td>0.997950</td>\n",
       "      <td>0.997085</td>\n",
       "      <td>0.978947</td>\n",
       "      <td>0.992587</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.991711</td>\n",
       "      <td>0.990625</td>\n",
       "      <td>0.982185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KiryatYam</th>\n",
       "      <td>0.954037</td>\n",
       "      <td>0.955363</td>\n",
       "      <td>0.990089</td>\n",
       "      <td>0.958120</td>\n",
       "      <td>0.959584</td>\n",
       "      <td>0.956827</td>\n",
       "      <td>0.857539</td>\n",
       "      <td>0.961126</td>\n",
       "      <td>0.954172</td>\n",
       "      <td>0.972540</td>\n",
       "      <td>...</td>\n",
       "      <td>0.977231</td>\n",
       "      <td>0.832502</td>\n",
       "      <td>0.989244</td>\n",
       "      <td>0.983644</td>\n",
       "      <td>0.949781</td>\n",
       "      <td>0.969939</td>\n",
       "      <td>0.991711</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.966906</td>\n",
       "      <td>0.953409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HodHasharon</th>\n",
       "      <td>0.995961</td>\n",
       "      <td>0.997076</td>\n",
       "      <td>0.989283</td>\n",
       "      <td>0.989480</td>\n",
       "      <td>0.992897</td>\n",
       "      <td>0.996543</td>\n",
       "      <td>0.758778</td>\n",
       "      <td>0.995462</td>\n",
       "      <td>0.996730</td>\n",
       "      <td>0.994390</td>\n",
       "      <td>...</td>\n",
       "      <td>0.982405</td>\n",
       "      <td>0.695327</td>\n",
       "      <td>0.990967</td>\n",
       "      <td>0.992772</td>\n",
       "      <td>0.996421</td>\n",
       "      <td>0.998118</td>\n",
       "      <td>0.990625</td>\n",
       "      <td>0.966906</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.997464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Binyamina-GivatAda</th>\n",
       "      <td>0.999028</td>\n",
       "      <td>0.999204</td>\n",
       "      <td>0.979255</td>\n",
       "      <td>0.989667</td>\n",
       "      <td>0.993218</td>\n",
       "      <td>0.998384</td>\n",
       "      <td>0.718050</td>\n",
       "      <td>0.995916</td>\n",
       "      <td>0.999417</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>...</td>\n",
       "      <td>0.968782</td>\n",
       "      <td>0.651253</td>\n",
       "      <td>0.980628</td>\n",
       "      <td>0.986245</td>\n",
       "      <td>0.999339</td>\n",
       "      <td>0.995804</td>\n",
       "      <td>0.982185</td>\n",
       "      <td>0.953409</td>\n",
       "      <td>0.997464</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 203 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Rosh_Pina  MazkeretBatia  Elyachin   Yavniel  Kfar_Tavor  \\\n",
       "Rosh_Pina            1.000000       0.999638  0.979909  0.993789    0.996377   \n",
       "MazkeretBatia        0.999638       1.000000  0.981367  0.994466    0.996813   \n",
       "Elyachin             0.979909       0.981367  1.000000  0.983033    0.984726   \n",
       "Yavniel              0.993789       0.994466  0.983033  1.000000    0.999378   \n",
       "Kfar_Tavor           0.996377       0.996813  0.984726  0.999378    1.000000   \n",
       "Mitzpe_ramon         0.999311       0.999755  0.982104  0.995896    0.997859   \n",
       "Ramat_Ishay          0.707188       0.713577  0.822285  0.709653    0.714654   \n",
       "Givat_Ada            0.998261       0.998424  0.986022  0.997925    0.999277   \n",
       "Pardesiya            0.999828       0.999920  0.980124  0.993594    0.996157   \n",
       "Tsur_Moshe           0.994124       0.995441  0.989847  0.996928    0.997429   \n",
       "BeitDagan            0.999655       0.999588  0.980152  0.991609    0.994775   \n",
       "AbuGosh              0.997597       0.998867  0.981893  0.992494    0.995333   \n",
       "Boeniyaa             0.996286       0.997946  0.982855  0.993673    0.996048   \n",
       "GashGushhlb          0.999027       0.999739  0.980402  0.993342    0.995913   \n",
       "Daburiya             0.999523       0.999824  0.983950  0.994255    0.996701   \n",
       "DirHina              0.998386       0.999066  0.985269  0.997768    0.998905   \n",
       "Horpish              0.998640       0.998831  0.987844  0.992728    0.995594   \n",
       "Kvakbavelig          0.975953       0.978129  0.996981  0.981744    0.983186   \n",
       "Eilot                0.992139       0.992956  0.989115  0.999132    0.998724   \n",
       "KfatMetzer           0.991998       0.992931  0.987095  0.998943    0.998726   \n",
       "Mizra                0.995179       0.995582  0.990815  0.994906    0.997175   \n",
       "Miilia               0.996166       0.996341  0.988494  0.990869    0.994536   \n",
       "Mashad               0.992654       0.991770  0.974923  0.975749    0.982183   \n",
       "EinNekuba            0.986804       0.987136  0.993054  0.981527    0.986004   \n",
       "Sagur                0.994665       0.994752  0.988031  0.994198    0.996782   \n",
       "Sulam                0.989253       0.987786  0.962320  0.967717    0.974977   \n",
       "Uzeir                0.992727       0.993163  0.982464  0.999539    0.999001   \n",
       "Ilaboun              0.993472       0.994216  0.988701  0.998151    0.998760   \n",
       "Pasuta               0.991479       0.991998  0.989098  0.996653    0.997573   \n",
       "Pkiin                0.992051       0.993127  0.996320  0.990402    0.992872   \n",
       "...                       ...            ...       ...       ...         ...   \n",
       "KiryatAta            0.962994       0.965470  0.992214  0.962634    0.965867   \n",
       "KfarSaba             0.977471       0.979858  0.997402  0.976593    0.979485   \n",
       "Lod                  0.910977       0.913200  0.971841  0.915714    0.918525   \n",
       "Ashkelon             0.801841       0.807815  0.892969  0.804535    0.809256   \n",
       "NesTziona            0.995279       0.997034  0.989856  0.992655    0.995040   \n",
       "Nazareth             0.892644       0.896378  0.958325  0.900798    0.904007   \n",
       "Netania              0.698792       0.705914  0.816665  0.705350    0.709698   \n",
       "Sakhnin              0.981175       0.982815  0.994668  0.984015    0.986546   \n",
       "Akko                 0.943911       0.945430  0.987067  0.950797    0.952626   \n",
       "Afula                0.948836       0.951522  0.988343  0.954818    0.956679   \n",
       "PardesHana-Karkur    0.990165       0.992480  0.992653  0.989088    0.991597   \n",
       "PetahTikva           0.800301       0.808765  0.889813  0.805308    0.810357   \n",
       "Tzfat                0.961539       0.963252  0.995175  0.968796    0.970433   \n",
       "KiryatMotzkin        0.983431       0.984996  0.997907  0.983889    0.985857   \n",
       "RishonLeTzion        0.821197       0.825987  0.911593  0.824190    0.828554   \n",
       "Rehovot              0.927124       0.931719  0.977629  0.928405    0.932013   \n",
       "Ramla                0.898709       0.901487  0.964536  0.905419    0.908145   \n",
       "RamatGan             0.908030       0.911238  0.969664  0.912475    0.914561   \n",
       "Raanana              0.989291       0.989337  0.993798  0.983645    0.986715   \n",
       "Shfaram              0.978274       0.980190  0.995189  0.978611    0.981854   \n",
       "Tamra                0.969758       0.971928  0.993467  0.976219    0.978213   \n",
       "BeerSheva            0.644038       0.648355  0.771517  0.647822    0.652637   \n",
       "Neharia              0.979809       0.981308  0.997948  0.978889    0.981812   \n",
       "BeitShean            0.988444       0.989294  0.997208  0.991984    0.993241   \n",
       "ZikronYaakov         0.997094       0.997125  0.975661  0.983846    0.988459   \n",
       "Yahud                0.996590       0.997704  0.991245  0.996059    0.997630   \n",
       "KiryatByalik         0.982279       0.983937  0.997768  0.983892    0.985652   \n",
       "KiryatYam            0.954037       0.955363  0.990089  0.958120    0.959584   \n",
       "HodHasharon          0.995961       0.997076  0.989283  0.989480    0.992897   \n",
       "Binyamina-GivatAda   0.999028       0.999204  0.979255  0.989667    0.993218   \n",
       "\n",
       "                    Mitzpe_ramon  Ramat_Ishay  Givat_Ada  Pardesiya  \\\n",
       "Rosh_Pina               0.999311     0.707188   0.998261   0.999828   \n",
       "MazkeretBatia           0.999755     0.713577   0.998424   0.999920   \n",
       "Elyachin                0.982104     0.822285   0.986022   0.980124   \n",
       "Yavniel                 0.995896     0.709653   0.997925   0.993594   \n",
       "Kfar_Tavor              0.997859     0.714654   0.999277   0.996157   \n",
       "Mitzpe_ramon            1.000000     0.713466   0.998785   0.999554   \n",
       "Ramat_Ishay             0.713466     1.000000   0.720605   0.710178   \n",
       "Givat_Ada               0.998785     0.720605   1.000000   0.998032   \n",
       "Pardesiya               0.999554     0.710178   0.998032   1.000000   \n",
       "Tsur_Moshe              0.996662     0.743606   0.996987   0.994617   \n",
       "BeitDagan               0.998966     0.714930   0.997167   0.999789   \n",
       "AbuGosh                 0.998789     0.725142   0.996434   0.998493   \n",
       "Boeniyaa                0.998297     0.727163   0.996311   0.997303   \n",
       "GashGushhlb             0.999556     0.715245   0.997336   0.999608   \n",
       "Daburiya                0.999481     0.723412   0.998644   0.999735   \n",
       "DirHina                 0.999419     0.721335   0.999545   0.998607   \n",
       "Horpish                 0.998355     0.741422   0.998065   0.998753   \n",
       "Kvakbavelig             0.978866     0.818300   0.983831   0.976408   \n",
       "Eilot                   0.994501     0.734987   0.997441   0.991911   \n",
       "KfatMetzer              0.994411     0.726583   0.997324   0.991839   \n",
       "Mizra                   0.996121     0.746036   0.997784   0.994997   \n",
       "Miilia                  0.996114     0.747936   0.996468   0.996095   \n",
       "Mashad                  0.989987     0.734361   0.987024   0.992576   \n",
       "EinNekuba               0.986889     0.787178   0.988716   0.986715   \n",
       "Sagur                   0.995276     0.736609   0.997230   0.994204   \n",
       "Sulam                   0.985389     0.707972   0.980771   0.989124   \n",
       "Uzeir                   0.994762     0.707823   0.997222   0.992287   \n",
       "Ilaboun                 0.995308     0.733152   0.998092   0.993259   \n",
       "Pasuta                  0.993287     0.737386   0.996626   0.991018   \n",
       "Pkiin                   0.993454     0.783964   0.994457   0.992432   \n",
       "...                          ...          ...        ...        ...   \n",
       "KiryatAta               0.966399     0.852471   0.967661   0.964229   \n",
       "KfarSaba                0.980208     0.832764   0.981641   0.978640   \n",
       "Lod                     0.913681     0.911697   0.922339   0.911286   \n",
       "Ashkelon                0.809418     0.969516   0.812012   0.804983   \n",
       "NesTziona               0.997249     0.757436   0.996062   0.996303   \n",
       "Nazareth                0.897462     0.906582   0.906125   0.893762   \n",
       "Netania                 0.707754     0.982887   0.713034   0.702336   \n",
       "Sakhnin                 0.983418     0.797270   0.987227   0.981439   \n",
       "Akko                    0.946742     0.859836   0.954227   0.943824   \n",
       "Afula                   0.953295     0.858666   0.957392   0.949790   \n",
       "PardesHana-Karkur       0.993159     0.779940   0.992094   0.991459   \n",
       "PetahTikva              0.810301     0.959712   0.812118   0.804993   \n",
       "Tzfat                   0.964406     0.841797   0.971269   0.961525   \n",
       "KiryatMotzkin           0.985800     0.812917   0.987204   0.984046   \n",
       "RishonLeTzion           0.826448     0.970355   0.833765   0.823293   \n",
       "Rehovot                 0.932185     0.915429   0.934609   0.929435   \n",
       "Ramla                   0.902491     0.913967   0.911134   0.899329   \n",
       "RamatGan                0.912209     0.930680   0.917712   0.909189   \n",
       "Raanana                 0.988515     0.788112   0.990868   0.989123   \n",
       "Shfaram                 0.980474     0.812611   0.983523   0.978928   \n",
       "Tamra                   0.972989     0.815010   0.978451   0.970139   \n",
       "BeerSheva               0.649129     0.961571   0.659380   0.645712   \n",
       "Neharia                 0.981628     0.824144   0.984019   0.980353   \n",
       "BeitShean               0.990296     0.780245   0.993713   0.988342   \n",
       "ZikronYaakov            0.995745     0.719746   0.992248   0.997609   \n",
       "Yahud                   0.998103     0.749865   0.998528   0.997043   \n",
       "KiryatByalik            0.984958     0.811241   0.986659   0.982904   \n",
       "KiryatYam               0.956827     0.857539   0.961126   0.954172   \n",
       "HodHasharon             0.996543     0.758778   0.995462   0.996730   \n",
       "Binyamina-GivatAda      0.998384     0.718050   0.995916   0.999417   \n",
       "\n",
       "                    Tsur_Moshe         ...             Tamra  BeerSheva  \\\n",
       "Rosh_Pina             0.994124         ...          0.969758   0.644038   \n",
       "MazkeretBatia         0.995441         ...          0.971928   0.648355   \n",
       "Elyachin              0.989847         ...          0.993467   0.771517   \n",
       "Yavniel               0.996928         ...          0.976219   0.647822   \n",
       "Kfar_Tavor            0.997429         ...          0.978213   0.652637   \n",
       "Mitzpe_ramon          0.996662         ...          0.972989   0.649129   \n",
       "Ramat_Ishay           0.743606         ...          0.815010   0.961571   \n",
       "Givat_Ada             0.996987         ...          0.978451   0.659380   \n",
       "Pardesiya             0.994617         ...          0.970139   0.645712   \n",
       "Tsur_Moshe            1.000000         ...          0.980954   0.689197   \n",
       "BeitDagan             0.993356         ...          0.969944   0.650063   \n",
       "AbuGosh               0.995120         ...          0.974357   0.655751   \n",
       "Boeniyaa              0.996031         ...          0.976833   0.658101   \n",
       "GashGushhlb           0.995218         ...          0.970780   0.647832   \n",
       "Daburiya              0.995600         ...          0.974829   0.659171   \n",
       "DirHina               0.997816         ...          0.976992   0.657991   \n",
       "Horpish               0.995383         ...          0.978650   0.679704   \n",
       "Kvakbavelig           0.985487         ...          0.997201   0.757333   \n",
       "Eilot                 0.997747         ...          0.982796   0.676939   \n",
       "KfatMetzer            0.996846         ...          0.983323   0.667928   \n",
       "Mizra                 0.996168         ...          0.987710   0.689481   \n",
       "Miilia                0.993151         ...          0.984454   0.685860   \n",
       "Mashad                0.981444         ...          0.965179   0.671605   \n",
       "EinNekuba             0.988008         ...          0.991931   0.739973   \n",
       "Sagur                 0.994102         ...          0.985273   0.677710   \n",
       "Sulam                 0.973200         ...          0.950322   0.643019   \n",
       "Uzeir                 0.995914         ...          0.977444   0.647280   \n",
       "Ilaboun               0.996669         ...          0.985000   0.673520   \n",
       "Pasuta                0.995280         ...          0.986949   0.680716   \n",
       "Pkiin                 0.996188         ...          0.989384   0.728944   \n",
       "...                        ...         ...               ...        ...   \n",
       "KiryatAta             0.978462         ...          0.984665   0.818344   \n",
       "KfarSaba              0.987266         ...          0.992325   0.781815   \n",
       "Lod                   0.932043         ...          0.972186   0.890337   \n",
       "Ashkelon              0.839807         ...          0.883147   0.954016   \n",
       "NesTziona             0.997088         ...          0.982371   0.690926   \n",
       "Nazareth              0.917667         ...          0.970435   0.888566   \n",
       "Netania               0.745663         ...          0.809841   0.980924   \n",
       "Sakhnin               0.987270         ...          0.997980   0.738739   \n",
       "Akko                  0.962973         ...          0.987730   0.843147   \n",
       "Afula                 0.970362         ...          0.984578   0.838532   \n",
       "PardesHana-Karkur     0.996242         ...          0.985686   0.718685   \n",
       "PetahTikva            0.838317         ...          0.895258   0.930383   \n",
       "Tzfat                 0.976301         ...          0.996558   0.804219   \n",
       "KiryatMotzkin         0.993106         ...          0.987674   0.764773   \n",
       "RishonLeTzion         0.852453         ...          0.912445   0.955360   \n",
       "Rehovot               0.946868         ...          0.973119   0.859769   \n",
       "Ramla                 0.924016         ...          0.967053   0.902882   \n",
       "RamatGan              0.932109         ...          0.958435   0.893833   \n",
       "Raanana               0.988759         ...          0.986186   0.735503   \n",
       "Shfaram               0.985524         ...          0.997975   0.762190   \n",
       "Tamra                 0.980954         ...          1.000000   0.766662   \n",
       "BeerSheva             0.689197         ...          0.766662   1.000000   \n",
       "Neharia               0.988262         ...          0.993006   0.778244   \n",
       "BeitShean             0.995989         ...          0.992037   0.734466   \n",
       "ZikronYaakov          0.987982         ...          0.964391   0.652112   \n",
       "Yahud                 0.998552         ...          0.983885   0.688863   \n",
       "KiryatByalik          0.993222         ...          0.988793   0.767191   \n",
       "KiryatYam             0.972540         ...          0.977231   0.832502   \n",
       "HodHasharon           0.994390         ...          0.982405   0.695327   \n",
       "Binyamina-GivatAda    0.992308         ...          0.968782   0.651253   \n",
       "\n",
       "                     Neharia  BeitShean  ZikronYaakov     Yahud  KiryatByalik  \\\n",
       "Rosh_Pina           0.979809   0.988444      0.997094  0.996590      0.982279   \n",
       "MazkeretBatia       0.981308   0.989294      0.997125  0.997704      0.983937   \n",
       "Elyachin            0.997948   0.997208      0.975661  0.991245      0.997768   \n",
       "Yavniel             0.978889   0.991984      0.983846  0.996059      0.983892   \n",
       "Kfar_Tavor          0.981812   0.993241      0.988459  0.997630      0.985652   \n",
       "Mitzpe_ramon        0.981628   0.990296      0.995745  0.998103      0.984958   \n",
       "Ramat_Ishay         0.824144   0.780245      0.719746  0.749865      0.811241   \n",
       "Givat_Ada           0.984019   0.993713      0.992248  0.998528      0.986659   \n",
       "Pardesiya           0.980353   0.988342      0.997609  0.997043      0.982904   \n",
       "Tsur_Moshe          0.988262   0.995989      0.987982  0.998552      0.993222   \n",
       "BeitDagan           0.980953   0.987691      0.998623  0.996452      0.982784   \n",
       "AbuGosh             0.982785   0.988617      0.996746  0.997458      0.984947   \n",
       "Boeniyaa            0.983289   0.989653      0.994344  0.997634      0.985845   \n",
       "GashGushhlb         0.980849   0.988057      0.997477  0.997315      0.983754   \n",
       "Daburiya            0.983948   0.990918      0.997179  0.998305      0.985807   \n",
       "DirHina             0.983758   0.992806      0.993279  0.999005      0.986973   \n",
       "Horpish             0.988182   0.993069      0.996956  0.998557      0.989044   \n",
       "Kvakbavelig         0.994451   0.994021      0.971074  0.988874      0.991548   \n",
       "Eilot               0.985129   0.995826      0.982362  0.996893      0.989286   \n",
       "KfatMetzer          0.983316   0.994727      0.982251  0.996321      0.987095   \n",
       "Mizra               0.990374   0.996601      0.990155  0.998130      0.990908   \n",
       "Miilia              0.989453   0.993335      0.994461  0.997113      0.988424   \n",
       "Mashad              0.979060   0.979542      0.997358  0.987615      0.977153   \n",
       "EinNekuba           0.995447   0.994554      0.986129  0.992021      0.992181   \n",
       "Sagur               0.987138   0.994492      0.989258  0.996436      0.987617   \n",
       "Sulam               0.967599   0.968635      0.995916  0.980209      0.965830   \n",
       "Uzeir               0.978349   0.991766      0.982082  0.994988      0.983007   \n",
       "Ilaboun             0.985729   0.995576      0.985171  0.997256      0.988315   \n",
       "Pasuta              0.986390   0.995812      0.982731  0.995800      0.988368   \n",
       "Pkiin               0.996487   0.997937      0.989619  0.997955      0.997117   \n",
       "...                      ...        ...           ...       ...           ...   \n",
       "KiryatAta           0.995091   0.986911      0.963371  0.977899      0.995231   \n",
       "KfarSaba            0.999004   0.993698      0.977540  0.989581      0.997386   \n",
       "Lod                 0.972493   0.957103      0.909528  0.935283      0.964897   \n",
       "Ashkelon            0.897677   0.864582      0.810770  0.837929      0.894110   \n",
       "NesTziona           0.990100   0.993545      0.994010  0.998978      0.991916   \n",
       "Nazareth            0.962137   0.944592      0.891371  0.921083      0.951632   \n",
       "Netania             0.821000   0.779601      0.708895  0.744058      0.814464   \n",
       "Sakhnin             0.994291   0.994654      0.977162  0.991125      0.990652   \n",
       "Akko                0.987878   0.981179      0.938210  0.963008      0.984418   \n",
       "Afula               0.989683   0.982821      0.945290  0.967929      0.990082   \n",
       "PardesHana-Karkur   0.993339   0.994477      0.989162  0.996990      0.995435   \n",
       "PetahTikva          0.897053   0.862771      0.811163  0.839697      0.888522   \n",
       "Tzfat               0.993557   0.990683      0.955487  0.977864      0.990336   \n",
       "KiryatMotzkin       0.997876   0.996602      0.980840  0.993078      0.999778   \n",
       "RishonLeTzion       0.916708   0.884742      0.827605  0.856635      0.905249   \n",
       "Rehovot             0.978856   0.961378      0.931713  0.950263      0.974120   \n",
       "Ramla               0.966483   0.950011      0.896869  0.925519      0.959365   \n",
       "RamatGan            0.968973   0.951242      0.908759  0.933212      0.966108   \n",
       "Raanana             0.994533   0.994154      0.988134  0.993631      0.991891   \n",
       "Shfaram             0.997084   0.994081      0.976560  0.989337      0.992825   \n",
       "Tamra               0.993006   0.992037      0.964391  0.983885      0.988793   \n",
       "BeerSheva           0.778244   0.734466      0.652112  0.688863      0.767191   \n",
       "Neharia             1.000000   0.995758      0.978414  0.990542      0.997950   \n",
       "BeitShean           0.995758   1.000000      0.981949  0.996198      0.997085   \n",
       "ZikronYaakov        0.978414   0.981949      1.000000  0.992646      0.978947   \n",
       "Yahud               0.990542   0.996198      0.992646  1.000000      0.992587   \n",
       "KiryatByalik        0.997950   0.997085      0.978947  0.992587      1.000000   \n",
       "KiryatYam           0.989244   0.983644      0.949781  0.969939      0.991711   \n",
       "HodHasharon         0.990967   0.992772      0.996421  0.998118      0.990625   \n",
       "Binyamina-GivatAda  0.980628   0.986245      0.999339  0.995804      0.982185   \n",
       "\n",
       "                    KiryatYam  HodHasharon  Binyamina-GivatAda  \n",
       "Rosh_Pina            0.954037     0.995961            0.999028  \n",
       "MazkeretBatia        0.955363     0.997076            0.999204  \n",
       "Elyachin             0.990089     0.989283            0.979255  \n",
       "Yavniel              0.958120     0.989480            0.989667  \n",
       "Kfar_Tavor           0.959584     0.992897            0.993218  \n",
       "Mitzpe_ramon         0.956827     0.996543            0.998384  \n",
       "Ramat_Ishay          0.857539     0.758778            0.718050  \n",
       "Givat_Ada            0.961126     0.995462            0.995916  \n",
       "Pardesiya            0.954172     0.996730            0.999417  \n",
       "Tsur_Moshe           0.972540     0.994390            0.992308  \n",
       "BeitDagan            0.954499     0.997181            0.999810  \n",
       "AbuGosh              0.955578     0.997875            0.998517  \n",
       "Boeniyaa             0.956679     0.997116            0.996838  \n",
       "GashGushhlb          0.954512     0.997185            0.999293  \n",
       "Daburiya             0.958749     0.997958            0.999148  \n",
       "DirHina              0.960491     0.996257            0.996751  \n",
       "Horpish              0.965170     0.998867            0.998585  \n",
       "Kvakbavelig          0.979001     0.987066            0.975263  \n",
       "Eilot                0.968001     0.990470            0.988207  \n",
       "KfatMetzer           0.963811     0.990132            0.988118  \n",
       "Mizra                0.968698     0.996275            0.993544  \n",
       "Miilia               0.964432     0.998009            0.996162  \n",
       "Mashad               0.951626     0.993539            0.995496  \n",
       "EinNekuba            0.976630     0.994224            0.987411  \n",
       "Sagur                0.964171     0.994399            0.992712  \n",
       "Sulam                0.936626     0.987694            0.992795  \n",
       "Uzeir                0.957489     0.988119            0.988159  \n",
       "Ilaboun              0.965247     0.992383            0.990273  \n",
       "Pasuta               0.966687     0.990861            0.987982  \n",
       "Pkiin                0.980943     0.997383            0.992115  \n",
       "...                       ...          ...                 ...  \n",
       "KiryatAta            0.994965     0.978700            0.965292  \n",
       "KfarSaba             0.988222     0.990738            0.979471  \n",
       "Lod                  0.980774     0.936476            0.912090  \n",
       "Ashkelon             0.930848     0.843200            0.810597  \n",
       "NesTziona            0.968069     0.998867            0.996239  \n",
       "Nazareth             0.964235     0.922985            0.894544  \n",
       "Netania              0.866686     0.750094            0.708685  \n",
       "Sakhnin              0.973971     0.990540            0.980682  \n",
       "Akko                 0.991272     0.960849            0.942446  \n",
       "Afula                0.995373     0.966012            0.949113  \n",
       "PardesHana-Karkur    0.976073     0.996784            0.991602  \n",
       "PetahTikva           0.912728     0.847446            0.811056  \n",
       "Tzfat                0.988247     0.975542            0.960032  \n",
       "KiryatMotzkin        0.991099     0.991621            0.983708  \n",
       "RishonLeTzion        0.936934     0.862643            0.827714  \n",
       "Rehovot              0.979579     0.954077            0.932721  \n",
       "Ramla                0.978000     0.926242            0.899878  \n",
       "RamatGan             0.984993     0.933670            0.910996  \n",
       "Raanana              0.977140     0.994962            0.989394  \n",
       "Shfaram              0.979179     0.990411            0.979079  \n",
       "Tamra                0.977231     0.982405            0.968782  \n",
       "BeerSheva            0.832502     0.695327            0.651253  \n",
       "Neharia              0.989244     0.990967            0.980628  \n",
       "BeitShean            0.983644     0.992772            0.986245  \n",
       "ZikronYaakov         0.949781     0.996421            0.999339  \n",
       "Yahud                0.969939     0.998118            0.995804  \n",
       "KiryatByalik         0.991711     0.990625            0.982185  \n",
       "KiryatYam            1.000000     0.966906            0.953409  \n",
       "HodHasharon          0.966906     1.000000            0.997464  \n",
       "Binyamina-GivatAda   0.953409     0.997464            1.000000  \n",
       "\n",
       "[203 rows x 203 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrrow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: Positive Correlation\n",
      "Type: Graph\n",
      "Number of nodes: 203\n",
      "Number of edges: 218\n",
      "Average degree:   2.1478\n"
     ]
    }
   ],
   "source": [
    "lab = list(corrrow.columns)\n",
    "linkmatrix = np.matrix(corrrow)[:][:]\n",
    "linkplus = (linkmatrix>0.99985)*1.0 #-np.eye(len(lab))\n",
    "linkminus = (linkmatrix<-0.9)*1.0\n",
    "gp = nx.from_numpy_matrix(linkplus)\n",
    "gp.name = 'Positive Correlation'\n",
    "gp.to_undirected()\n",
    "print nx.info(gp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "newlab = {}\n",
    "for i in range(len(lab)):\n",
    "    newlab[i]=lab[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: Positive Correlation\n",
      "Type: Graph\n",
      "Number of nodes: 22\n",
      "Number of edges: 37\n",
      "Average degree:   3.3636\n"
     ]
    }
   ],
   "source": [
    "ll = {}\n",
    "deg =  gp.degree()\n",
    "lenh = len(gp.degree())+1\n",
    "while lenh>len(gp.degree()):\n",
    "    lenh = len(gp.degree())\n",
    "    for i in gp.degree():\n",
    "        if gp.degree()[i]<=2:\n",
    "            gp.remove_node(i)\n",
    "            deg.pop(i)\n",
    "            newlab.pop(i)\n",
    "        \n",
    "        \n",
    "for i in gp.degree():\n",
    "    if deg[i]<=1:\n",
    "        gp.remove_node(i)\n",
    "        deg.pop(i)\n",
    "    else:\n",
    "        ll[i]=lab[i]\n",
    "        \n",
    "print nx.info(gp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PwEtSaTLwkiSVaQVneGVmZpKZmcm7BdYIksqTOnXqMH78eCZNmsQVV1yx0zFz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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd33e6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph_pos= nx.fruchterman_reingold_layout(gp,iterations=10)\n",
    "plt.figure(1,figsize=(21,12))\n",
    "nx.draw_networkx_nodes(gp, graph_pos, alpha=1, node_size =[100*v for v in deg.values()])#, node_color=g.colors)\n",
    "nx.draw_networkx_edges(gp, graph_pos)\n",
    "plt.title(gp.name)\n",
    "nx.draw_networkx_labels(gp, graph_pos, labels=ll );\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}