{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading libraries and setting up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PCA Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining the column names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#names = [\"Individual\"] + [\"PC\" + str(i) for i in range(1, 5)] + [\"Population\"]\n",
    "names = [\"Individual\", \"PC1\", \"PC2\", \"PC3\", \"PC4\", \"Population\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading the eigenVec file from the pca run"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## West-Eurasian PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pcaDat = pd.read_csv(\"/home/training/share/pca_results/pca.WestEurasia.evec\",\n",
    "                     delim_whitespace=True, skiprows=1, names=names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the data, we find that it is a matrix, with each individual on one row, and the columns denoting the first 10 principal components. The last column contains the population for each individual:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Individual</th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>PC3</th>\n",
       "      <th>PC4</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yuk_009</td>\n",
       "      <td>0.0123</td>\n",
       "      <td>0.1252</td>\n",
       "      <td>0.1147</td>\n",
       "      <td>0.0567</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Yuk_025</td>\n",
       "      <td>0.0120</td>\n",
       "      <td>0.1258</td>\n",
       "      <td>0.1168</td>\n",
       "      <td>0.0576</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yuk_022</td>\n",
       "      <td>0.0136</td>\n",
       "      <td>0.1303</td>\n",
       "      <td>0.1186</td>\n",
       "      <td>0.0564</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Yuk_020</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>0.1278</td>\n",
       "      <td>0.1176</td>\n",
       "      <td>0.0584</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MC_40</td>\n",
       "      <td>0.0183</td>\n",
       "      <td>0.1226</td>\n",
       "      <td>0.1123</td>\n",
       "      <td>0.0537</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Yuk_024</td>\n",
       "      <td>0.0144</td>\n",
       "      <td>0.1271</td>\n",
       "      <td>0.1124</td>\n",
       "      <td>0.0584</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Yuk_023</td>\n",
       "      <td>0.0124</td>\n",
       "      <td>0.1348</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.0642</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>MC_16</td>\n",
       "      <td>0.0144</td>\n",
       "      <td>0.1266</td>\n",
       "      <td>0.1169</td>\n",
       "      <td>0.0541</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MC_15</td>\n",
       "      <td>0.0146</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.1119</td>\n",
       "      <td>0.0559</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>MC_18</td>\n",
       "      <td>0.0175</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.1167</td>\n",
       "      <td>0.0523</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Yuk_004</td>\n",
       "      <td>0.0110</td>\n",
       "      <td>0.1273</td>\n",
       "      <td>0.1117</td>\n",
       "      <td>0.0573</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>MC_08</td>\n",
       "      <td>0.0187</td>\n",
       "      <td>0.1253</td>\n",
       "      <td>0.1185</td>\n",
       "      <td>0.0564</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Nov_005</td>\n",
       "      <td>0.0152</td>\n",
       "      <td>0.1349</td>\n",
       "      <td>0.1285</td>\n",
       "      <td>0.0618</td>\n",
       "      <td>Nganasan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>MC_25</td>\n",
       "      <td>0.0182</td>\n",
       "      <td>0.1258</td>\n",
       "      <td>0.1196</td>\n",
       "      <td>0.0532</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Yuk_019</td>\n",
       "      <td>0.0161</td>\n",
       "      <td>0.1327</td>\n",
       "      <td>0.1229</td>\n",
       "      <td>0.0617</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Yuk_011</td>\n",
       "      <td>0.0152</td>\n",
       "      <td>0.1217</td>\n",
       "      <td>0.1148</td>\n",
       "      <td>0.0569</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sesk_47</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.1241</td>\n",
       "      <td>0.1177</td>\n",
       "      <td>0.0549</td>\n",
       "      <td>Chukchi1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>MC_17</td>\n",
       "      <td>0.0180</td>\n",
       "      <td>0.1268</td>\n",
       "      <td>0.1147</td>\n",
       "      <td>0.0544</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Yuk_021</td>\n",
       "      <td>0.0141</td>\n",
       "      <td>0.1329</td>\n",
       "      <td>0.1210</td>\n",
       "      <td>0.0653</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MC_06</td>\n",
       "      <td>0.0159</td>\n",
       "      <td>0.1264</td>\n",
       "      <td>0.1135</td>\n",
       "      <td>0.0557</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>MC_38</td>\n",
       "      <td>0.0178</td>\n",
       "      <td>0.1240</td>\n",
       "      <td>0.1143</td>\n",
       "      <td>0.0534</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MC_14</td>\n",
       "      <td>0.0165</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.1114</td>\n",
       "      <td>0.0524</td>\n",
       "      <td>Chukchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Ul5</td>\n",
       "      <td>0.0070</td>\n",
       "      <td>0.1306</td>\n",
       "      <td>0.1144</td>\n",
       "      <td>0.0540</td>\n",
       "      <td>Ulchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ul31</td>\n",
       "      <td>0.0056</td>\n",
       "      <td>0.1289</td>\n",
       "      <td>0.1182</td>\n",
       "      <td>0.0550</td>\n",
       "      <td>Ulchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Ul65</td>\n",
       "      <td>0.0051</td>\n",
       "      <td>0.1331</td>\n",
       "      <td>0.1117</td>\n",
       "      <td>0.0599</td>\n",
       "      <td>Ulchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Tuba12</td>\n",
       "      <td>0.0172</td>\n",
       "      <td>0.0906</td>\n",
       "      <td>0.0790</td>\n",
       "      <td>0.0362</td>\n",
       "      <td>Tubalar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Tuba20</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.0894</td>\n",
       "      <td>0.0767</td>\n",
       "      <td>0.0308</td>\n",
       "      <td>Tubalar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Nel19</td>\n",
       "      <td>0.0273</td>\n",
       "      <td>0.0605</td>\n",
       "      <td>0.0608</td>\n",
       "      <td>0.0333</td>\n",
       "      <td>Yukagir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Nlk16</td>\n",
       "      <td>0.0217</td>\n",
       "      <td>0.0744</td>\n",
       "      <td>0.0753</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>Even</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Kor66</td>\n",
       "      <td>0.0148</td>\n",
       "      <td>0.1259</td>\n",
       "      <td>0.1157</td>\n",
       "      <td>0.0531</td>\n",
       "      <td>Koryak</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1259</th>\n",
       "      <td>I0429</td>\n",
       "      <td>0.0413</td>\n",
       "      <td>0.0447</td>\n",
       "      <td>0.0440</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>Yamnaya_Samara</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>I0438</td>\n",
       "      <td>0.0384</td>\n",
       "      <td>0.0497</td>\n",
       "      <td>0.0399</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>Yamnaya_Samara</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>I0585</td>\n",
       "      <td>0.0770</td>\n",
       "      <td>-0.0424</td>\n",
       "      <td>0.0372</td>\n",
       "      <td>0.0355</td>\n",
       "      <td>WHG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>I0797</td>\n",
       "      <td>-0.0101</td>\n",
       "      <td>-0.0452</td>\n",
       "      <td>-0.0342</td>\n",
       "      <td>-0.0124</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>I0795</td>\n",
       "      <td>-0.0057</td>\n",
       "      <td>-0.0495</td>\n",
       "      <td>-0.0429</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>I0022</td>\n",
       "      <td>-0.0133</td>\n",
       "      <td>-0.0433</td>\n",
       "      <td>-0.0356</td>\n",
       "      <td>-0.0089</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1265</th>\n",
       "      <td>I0026</td>\n",
       "      <td>-0.0142</td>\n",
       "      <td>-0.0438</td>\n",
       "      <td>-0.0430</td>\n",
       "      <td>-0.0027</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>I1507</td>\n",
       "      <td>0.0866</td>\n",
       "      <td>-0.0455</td>\n",
       "      <td>0.0393</td>\n",
       "      <td>0.0311</td>\n",
       "      <td>WHG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>I0025</td>\n",
       "      <td>-0.0103</td>\n",
       "      <td>-0.0449</td>\n",
       "      <td>-0.0404</td>\n",
       "      <td>-0.0023</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>I0443</td>\n",
       "      <td>0.0350</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>0.0412</td>\n",
       "      <td>0.0028</td>\n",
       "      <td>Yamnaya_Samara</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269</th>\n",
       "      <td>I0054</td>\n",
       "      <td>-0.0054</td>\n",
       "      <td>-0.0413</td>\n",
       "      <td>-0.0410</td>\n",
       "      <td>-0.0124</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>I0046</td>\n",
       "      <td>-0.0066</td>\n",
       "      <td>-0.0446</td>\n",
       "      <td>-0.0386</td>\n",
       "      <td>-0.0092</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>I0048</td>\n",
       "      <td>-0.0128</td>\n",
       "      <td>-0.0367</td>\n",
       "      <td>-0.0388</td>\n",
       "      <td>-0.0129</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>I0056</td>\n",
       "      <td>-0.0067</td>\n",
       "      <td>-0.0472</td>\n",
       "      <td>-0.0388</td>\n",
       "      <td>-0.0054</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>I0057</td>\n",
       "      <td>-0.0113</td>\n",
       "      <td>-0.0442</td>\n",
       "      <td>-0.0357</td>\n",
       "      <td>-0.0008</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>I0100</td>\n",
       "      <td>-0.0063</td>\n",
       "      <td>-0.0455</td>\n",
       "      <td>-0.0410</td>\n",
       "      <td>-0.0051</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1275</th>\n",
       "      <td>I0659</td>\n",
       "      <td>-0.0084</td>\n",
       "      <td>-0.0437</td>\n",
       "      <td>-0.0431</td>\n",
       "      <td>-0.0099</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>I0821</td>\n",
       "      <td>-0.0071</td>\n",
       "      <td>-0.0428</td>\n",
       "      <td>-0.0380</td>\n",
       "      <td>-0.0103</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>I1550</td>\n",
       "      <td>-0.0107</td>\n",
       "      <td>-0.0386</td>\n",
       "      <td>-0.0402</td>\n",
       "      <td>-0.0039</td>\n",
       "      <td>LBK_EN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>BOO001</td>\n",
       "      <td>0.0399</td>\n",
       "      <td>0.0760</td>\n",
       "      <td>0.0915</td>\n",
       "      <td>0.0453</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1279</th>\n",
       "      <td>BOO002</td>\n",
       "      <td>0.0445</td>\n",
       "      <td>0.0735</td>\n",
       "      <td>0.0925</td>\n",
       "      <td>0.0379</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>BOO003</td>\n",
       "      <td>0.0466</td>\n",
       "      <td>0.0765</td>\n",
       "      <td>0.0862</td>\n",
       "      <td>0.0415</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>BOO004</td>\n",
       "      <td>0.0411</td>\n",
       "      <td>0.0723</td>\n",
       "      <td>0.0938</td>\n",
       "      <td>0.0419</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>BOO005</td>\n",
       "      <td>0.0461</td>\n",
       "      <td>0.0731</td>\n",
       "      <td>0.0909</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>BOO006</td>\n",
       "      <td>0.0394</td>\n",
       "      <td>0.0917</td>\n",
       "      <td>0.1002</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>CHV001</td>\n",
       "      <td>0.0441</td>\n",
       "      <td>0.0331</td>\n",
       "      <td>0.0587</td>\n",
       "      <td>0.0325</td>\n",
       "      <td>ChalmnyVarre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>CHV002</td>\n",
       "      <td>0.0442</td>\n",
       "      <td>0.0351</td>\n",
       "      <td>0.0610</td>\n",
       "      <td>0.0373</td>\n",
       "      <td>ChalmnyVarre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>JK1968</td>\n",
       "      <td>0.0398</td>\n",
       "      <td>0.0385</td>\n",
       "      <td>0.0661</td>\n",
       "      <td>0.0299</td>\n",
       "      <td>Levanluhta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>JK1970</td>\n",
       "      <td>0.0408</td>\n",
       "      <td>0.0466</td>\n",
       "      <td>0.0600</td>\n",
       "      <td>0.0363</td>\n",
       "      <td>Levanluhta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>JK2065</td>\n",
       "      <td>0.0392</td>\n",
       "      <td>-0.0065</td>\n",
       "      <td>0.0195</td>\n",
       "      <td>0.0043</td>\n",
       "      <td>JK2065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1289 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Individual     PC1     PC2     PC3     PC4          Population\n",
       "0       Yuk_009  0.0123  0.1252  0.1147  0.0567             Yukagir\n",
       "1       Yuk_025  0.0120  0.1258  0.1168  0.0576             Yukagir\n",
       "2       Yuk_022  0.0136  0.1303  0.1186  0.0564             Yukagir\n",
       "3       Yuk_020  0.0170  0.1278  0.1176  0.0584             Yukagir\n",
       "4         MC_40  0.0183  0.1226  0.1123  0.0537             Chukchi\n",
       "5       Yuk_024  0.0144  0.1271  0.1124  0.0584             Yukagir\n",
       "6       Yuk_023  0.0124  0.1348  0.1238  0.0642             Yukagir\n",
       "7         MC_16  0.0144  0.1266  0.1169  0.0541             Chukchi\n",
       "8         MC_15  0.0146  0.1250  0.1119  0.0559             Chukchi\n",
       "9         MC_18  0.0175  0.1238  0.1167  0.0523             Chukchi\n",
       "10      Yuk_004  0.0110  0.1273  0.1117  0.0573             Yukagir\n",
       "11        MC_08  0.0187  0.1253  0.1185  0.0564             Chukchi\n",
       "12      Nov_005  0.0152  0.1349  0.1285  0.0618            Nganasan\n",
       "13        MC_25  0.0182  0.1258  0.1196  0.0532             Chukchi\n",
       "14      Yuk_019  0.0161  0.1327  0.1229  0.0617             Yukagir\n",
       "15      Yuk_011  0.0152  0.1217  0.1148  0.0569             Yukagir\n",
       "16      Sesk_47  0.0167  0.1241  0.1177  0.0549            Chukchi1\n",
       "17        MC_17  0.0180  0.1268  0.1147  0.0544             Chukchi\n",
       "18      Yuk_021  0.0141  0.1329  0.1210  0.0653             Yukagir\n",
       "19        MC_06  0.0159  0.1264  0.1135  0.0557             Chukchi\n",
       "20        MC_38  0.0178  0.1240  0.1143  0.0534             Chukchi\n",
       "21        MC_14  0.0165  0.1238  0.1114  0.0524             Chukchi\n",
       "22          Ul5  0.0070  0.1306  0.1144  0.0540               Ulchi\n",
       "23         Ul31  0.0056  0.1289  0.1182  0.0550               Ulchi\n",
       "24         Ul65  0.0051  0.1331  0.1117  0.0599               Ulchi\n",
       "25       Tuba12  0.0172  0.0906  0.0790  0.0362             Tubalar\n",
       "26       Tuba20  0.0129  0.0894  0.0767  0.0308             Tubalar\n",
       "27        Nel19  0.0273  0.0605  0.0608  0.0333             Yukagir\n",
       "28        Nlk16  0.0217  0.0744  0.0753  0.0360                Even\n",
       "29        Kor66  0.0148  0.1259  0.1157  0.0531              Koryak\n",
       "...         ...     ...     ...     ...     ...                 ...\n",
       "1259      I0429  0.0413  0.0447  0.0440  0.0098      Yamnaya_Samara\n",
       "1260      I0438  0.0384  0.0497  0.0399  0.0020      Yamnaya_Samara\n",
       "1261      I0585  0.0770 -0.0424  0.0372  0.0355                 WHG\n",
       "1262      I0797 -0.0101 -0.0452 -0.0342 -0.0124              LBK_EN\n",
       "1263      I0795 -0.0057 -0.0495 -0.0429  0.0098              LBK_EN\n",
       "1264      I0022 -0.0133 -0.0433 -0.0356 -0.0089              LBK_EN\n",
       "1265      I0026 -0.0142 -0.0438 -0.0430 -0.0027              LBK_EN\n",
       "1266      I1507  0.0866 -0.0455  0.0393  0.0311                 WHG\n",
       "1267      I0025 -0.0103 -0.0449 -0.0404 -0.0023              LBK_EN\n",
       "1268      I0443  0.0350  0.0401  0.0412  0.0028      Yamnaya_Samara\n",
       "1269      I0054 -0.0054 -0.0413 -0.0410 -0.0124              LBK_EN\n",
       "1270      I0046 -0.0066 -0.0446 -0.0386 -0.0092              LBK_EN\n",
       "1271      I0048 -0.0128 -0.0367 -0.0388 -0.0129              LBK_EN\n",
       "1272      I0056 -0.0067 -0.0472 -0.0388 -0.0054              LBK_EN\n",
       "1273      I0057 -0.0113 -0.0442 -0.0357 -0.0008              LBK_EN\n",
       "1274      I0100 -0.0063 -0.0455 -0.0410 -0.0051              LBK_EN\n",
       "1275      I0659 -0.0084 -0.0437 -0.0431 -0.0099              LBK_EN\n",
       "1276      I0821 -0.0071 -0.0428 -0.0380 -0.0103              LBK_EN\n",
       "1277      I1550 -0.0107 -0.0386 -0.0402 -0.0039              LBK_EN\n",
       "1278     BOO001  0.0399  0.0760  0.0915  0.0453  BolshoyOleniOstrov\n",
       "1279     BOO002  0.0445  0.0735  0.0925  0.0379  BolshoyOleniOstrov\n",
       "1280     BOO003  0.0466  0.0765  0.0862  0.0415  BolshoyOleniOstrov\n",
       "1281     BOO004  0.0411  0.0723  0.0938  0.0419  BolshoyOleniOstrov\n",
       "1282     BOO005  0.0461  0.0731  0.0909  0.0401  BolshoyOleniOstrov\n",
       "1283     BOO006  0.0394  0.0917  0.1002  0.0438  BolshoyOleniOstrov\n",
       "1284     CHV001  0.0441  0.0331  0.0587  0.0325        ChalmnyVarre\n",
       "1285     CHV002  0.0442  0.0351  0.0610  0.0373        ChalmnyVarre\n",
       "1286     JK1968  0.0398  0.0385  0.0661  0.0299          Levanluhta\n",
       "1287     JK1970  0.0408  0.0466  0.0600  0.0363          Levanluhta\n",
       "1288     JK2065  0.0392 -0.0065  0.0195  0.0043              JK2065\n",
       "\n",
       "[1289 rows x 6 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pcaDat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can quickly plot the first two PCs for all individuals:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))\n",
    "plt.scatter(x=pcaDat[\"PC1\"], y=pcaDat[\"PC2\"])\n",
    "plt.xlabel(\"PC1\");\n",
    "plt.ylabel(\"PC2\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "which is not very helpful, because we can't see where each population falls. We can highlight a few populations to get a bit more of a feeling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XhO5vzpw5ePTRRyEHf5Fpb2+3fdsTJ06goqICZWVl6OzsxLZt2xI6h2QwmCMiipFo/7hYzju9uau4SMDvQk871tBRMkYtWQxRWhp1mSgtxaglixO+zzVr1uCqq66Kuuyaa66JLLU69eMf/xjhcBjnnXceKisr8eMf/9j2befOnYve3l5MnjwZDQ0NmDFjRkLnkAwhLQpz80ldXZ1sbW3N9GkQURaLnZsKAEViYJNCLv5z+dDC6kg7lET5fV5sbbjUxbOiXPf2229j8uTJto8/sWEDPn7wIfQeOoTiz38eo5YsRvkVV6TwDHOP3msqhGiTUtZZ3ZY1c0REGnqbHPpzMIhTqTNck7F0zkTrg4hMlF9xBYO3FOIyKxGRRrYuKRYluGYbCIbgS2BWq0qAmx+Ish2DOSIiDbfnprolmezg8a5wwreVAJa17Ez8wYko5RjMERFppGJuqhNKFv6r/NS2few3R5TFsvCfDSKizKmv8eOBq6sy9vh9EhkNJo3c/dxbmT4FIjLAYI6IKEZ9jd+Vlh6J6JfAA1dXZezxjYTC/Zk+BSIywGCOiEjH0jkToSS66yBJrXuPoasnsU7xFWVKxvvbEaWDx+NBdXU1pk6dimnTpuHVV191dPvGxkb89Kc/TeixW1tbcdttt6X8HO1iaxIiIh2te48hnKGeJE9t25fQ7YoEsPyKSrTuPYant+2D9uyLACSTW8tQXEtkyOv1oqOjAwCwadMm3H333fjzn/+clseuq6tDXZ1l+7e0nSMzc0REMZa17Ew4oMokNfZcUV+FBxdWw+/zQmCg6e9/LqzGjTPGJZy1++b0cW6dJhWgf2z/EE/+21b8/JbNePLftuIf2z909f7/+c9/oqKiIvL3pqYmnH/++TjvvPOwfPnyyOX3338/zjnnHFx00UXYvfv0mLqOjg7MmDED5513Hq666iocP34cADBr1iyowwaOHDmC8ePHAxiYx3r55ZcDGMjw3XTTTZg1axbOOussPPLII7bO0U3MzBERabS0B/B0DgZyqqZNu1Ff44/8p1Vf40fdF4bj/1nb4bjVyYr6zG0Kodz2j+0fYsvTnejtGcgNnzz2KbY83QkAOGf6mQnfbygUQnV1Nbq7u3Ho0CFs3rwZAPDiiy/inXfeweuvvw4pJebPn4+//OUvGDp0KJ555hl0dHSgt7cX06ZNQ21tLQDg29/+Nh599FF85StfwT333IN7770XDz30kO1z6ezsxJYtW/DJJ59g4sSJuPXWW6EoiuE5uo3BHBGRRtOm3cjmgQ8+70AD4GBIv3ecnabHHiHQn4uzySgnvfb79yKBnKq3px+v/f69pII57RLma6+9hm9/+9v429/+hhdffBEvvvgiampqAAAnT57EO++8g08++QRXXXUVysrKAADz588HAJw4cQLBYBBf+cpXAADf+c538I1vfMPRucybNw8lJSUoKSnBqFGj8NFHH2HMmDGG5yiEu3ULDOaIqOC1tAdw74ZdSTXXTTWfV0Hj/ErU1/jR0h7A4uYO3eOsmh43rt/luBYw23bWUm45eexTR5cn4sILL8SRI0dw+PBhSClx99134/vf/37UMU4ybari4mL09w8Eot3d3YbHlZSURP7s8XjQ2xu/gUl7jqNGjXJ8LmZYM0dEBa2lPYCl63ZkNJArEgPBmlrfduOMcVH1bg8trEbH8tlRy6Z6GxIUjzCdo9rSHjDM6BnxKh7OZqWkDBte4ujyRHR2dqKvrw8jRozAnDlz8MQTT+DkyZMAgEAggI8//hgXX3wxWlpaEAqF8Mknn2DDhg0AgPLyclRUVOCvf/0rAODXv/51JEs3fvx4tLW1AQDWrVvn2jm6jZk5IipoTZt2I9yX3iVHn1fB0JJiHAyGMNrnxdI5Ex3NP23atFu35i3cJ9G0aXfUcdrH0F5n9zzVbCBRoi688otRNXMAUDykCBde+cWk7letRwMAKSWefPJJeDwezJ49G2+//TYuvPBCAMCwYcPw1FNPYdq0aVi4cCGmTp2KUaNG4fzzz4/c15NPPolbbrkFXV1dOOuss/DLX/4SAHDnnXdiwYIFWLVqFebNm+faObpNyAKqm6irq5PqrhQiIgCY0LAx7TVyAsAHK+19MbS0B+KCsiXNHabnrBQJQCAqSPUqHoTCfbbPceYXh+Pp711o+3gqLG+//TYmT55s+/h/bP8Qr/3+PZw89imGDS/BhVd+Mal6uXyk95oKIdqklJY9UJiZI6KCNtrnRcDGpgG3H9OMGsAFgiEIIBK4BYIh3P3cTpR7FdPlUr2auFC4Dx4h0GfxC7xHCFw/fSx3r5Krzpl+JoO3FGIwR0QFbemciQm16kiUVQ1aS3sAdz+3M5JFiz2tULgPIsFcYp+UcRk6r+LBA1dXcSmVKIdxAwQRFTy32wQY8QhhGTg1bdptuRzaleCcVL/PG5n7KjR/ZyBHiSikMq1US/a1ZGaOiApa06bd6EtTWq5fSsvAyU6fuESoGUG9ZsJETpWWluLo0aMYMWJE2n4ZyldSShw9ehSlpaUJ3weDOSIqaKkKnvT4yhTLY1JRw+dPYMcskZkxY8bgwIEDOHz4cKZPJS+UlpZizJgxCd+ewRwRFbR0boA43hXGzJWbTQOrpXMmRtXMJcvv82Jrw6Wu3BeRSlEUTJgwIdOnQYNYM0dEBe2SSSPT+njqjtSW9oDu9fU1flxT64dncOnKIwTKlMT+qWbDX6LCwGCOiApWS3sAzW/sT/vjhsJ9hg18W9oDeLYtEGkh0iclwn0SisdZXZIAcE0t6+OICgGDOSIqWPdu2JX26Q8qo1o9vd2s4X6JXs152gnrJIBn2wKGGUAiyh8M5oioILW0B1ybx3rjjHGRZVG7jBoHGwV52pCzuEjYytSZZQCJKH8wmCOigqM25nXLls7D+NmCqfAq0TMXvYoHN84Yp3u5US2b1XQIYCBTpxTZCx4DwRCzc0R5jsEcERUcO415nTgYDKG+xq/bkHdFfZWjRr12N2Q4aRxstuGCiHIfW5MQUcFJtLec0WxTNZtm1JDXSaPeLZ3u9+3SLrc2bdqNg8EQRjvsPafOi03ktkSUWszMEVHBsbOUqWfGWRWOlkwTkaomxmpLlEAwBAnrFila6rJ0IrclotRjMEdEBWfpnIlxQZkdr+85jmtq/SmdbVrutZ4S4U2g75xHiLilZbsbJPSWpbm5gih7cJmViAqOGnzdsXaH7rKpkXCfxJbOwymbqNDSHkAwZL3DtlTxAIgPzox4FY/hsXYygUbHpHMUGhEZY2aOiApSfY0f/Q4COVUqAxi7ma5gVxgPXF1lqx2Kmj30Gywt21lyNsoWJrpcTUTuYmaOiApWuVexlQnTSkUAo24ucDIjdnFzh+UxsXNZY2e+2qn3a2kP4FRPb9zlSpHgqDCiLMFgjogKhnZHpq9MwT+7nTcNdjuAUTcXOGmVYiefGBuoqUvLTnekNm3arTslY1hpMXezEmUJBnNEVBBig6ZEpj/4vIrrAYyTnndGrVFieZUi3Y0ZTlqkqIyWlYMuTc8gouSxZo6ICkKyjYK9igeN8ytdPKMBVjV4RWJgXNielfNs1/gNH1riWtBptKzMejmi7MHMHBEVhGQ2LvhT2CR3tM+rWysXW+9mdmysQDCEmSs3u9Lgd+mciQnV2hFR+jAzR0R5r6U9gCIbOz/1CABbGy5NWX2YXs87o2Bp6ZyJtmayCsC1Br9GY8pYL0eUPYRMYGt+rqqrq5Otra2ZPg0iSqNENhhoeYRAv5QpHWHlZFRWS3sAjet3Ge7CFdDfIKGX6SOi7CaEaJNS1lkex2COiPLZzJWbHbX8MONVPFmXlYoNBI2eqwDwwcp56T05IkqK3WCOy6xElNfcbPKbjSOs6mv82NpwKT5YOQ9L50w0bCTMDQtE+YvBHBHlNbeDmGwdYaUuJ+u1LuGGBaL8xmCOiPKa3gYDLb/Piz0r56GizHrAPZD5DFdLewAzV27GhIaNmLlyc2Rjg1HrFY8QWbc0TETuYjBHRHlN3Y3p05kvqs1YLb+i0jToiz0+FYwCNe31dz+3M2qn6uLmDtTc96JhrVy/lAzkiPIcgzkiynv1NX50LJ+NhxZWG7bY0GvBceOMcWlryaEXqMW2FDHKvh3vCsOoYUmmM4lElHrczUpElAWMdt1qW4pMaNhoOpc1ti2JuvsWcD6TlYgyj7tZiYhyiNHGCu3lVlk2CcRlEgFYZvyIKLcxmCMiygJ2ZqBaTYDQqwvUW5rNxhYrRJQ4BnNERFnAaNdtV09vdBbNIJZTigRO9fTGZeCMNkZka4sVInIuo8GcEGKuEGK3EOJdIUSDzvUXCyHeFEL0CiGujbnuO0KIdwb/+076zpqIyH1Gu26Pd4Wx9Lc7UHPfi1jc3IFwX3zVnEcIDCstjrsuFO5jE2GiApCxYE4I4QHwcwBfAzAFwPVCiCkxh+0DsAjAb2JuOxzAcgDTAVwAYLkQoiLV50xElEr1NX4MLSmOuzzcL3G8S38WKzDQfiRocH2flHEZv3Q2EbZqt0JEyctkZu4CAO9KKd+XUvYAeAbAldoDpJR7pJRvAeiPue0cAH+UUh6TUh4H8EcAc9Nx0kREqZTIHNnRPq9hpk3dCJGuFitaeu1WljR3YDwDOyJXxf8KmD5+APs1fz+AgUxborflPnsiymkt7YG49iJWtFm2u5/bGbXZQb2uvsafkVYkepsv1Oem1vQBYJsUoiRlMphLCyHEzQBuBoBx48Zl+GyIiIw1bdrtKJDz6/SMy6Z+clabLNRdtQzmiJKTyWAuAGCs5u9jBi+ze9tZMbd9We9AKeUqAKuAgabBTk+SiChdnC6xqs2EVZnKwBkZ7fNaPqdElpWJKFoma+beAHC2EGKCEGIIgOsArLd5200AZgshKgY3PswevIyIKGcZ7TzV4/d5Xd1ckIqNCkbtVrTE4GMTUeIylpmTUvYKIX6AgSDMA+AJKeUuIcR9AFqllOuFEOcD+B2ACgBXCCHulVJWSimPCSH+XwwEhABwn5TyWEaeCBGRS/psjlf0Kh5cMmlkVI2cnRq0lvaA7jKsulHByX3Zod62cf0uBEP6u20lwKVWoiRltM+clPIFKeU5UsovSinvH7zsHinl+sE/vyGlHCOlHCqlHCGlrNTc9gkp5ZcG//tlpp4DEZFb/Ca939SsnbobdUvnYUeTHfR2lqpjvVI5JcKo3YoWGxgTJYcTIIiIsoTZsqTaL07NptmZ5aplFrA5vS+nrO6HDYyJksNgjogoS6hTIIwydNpsmZ1ZrlpmAZvT+3LK7H7S2cCYKF8xmCMiyjDt5oOmTbuxdM5EoxGskaBML4tnFhj5yhTdy9XauVROiVg6ZyKUovhn5PMqaWtgTJTP8r7PHBFRNjPafFDuVXQ3DahZLjUAstNXrqU9gJPdvXGXKx4RdZuU9qiLieUUj0Dj/EoGckQuENLm7ql8UFdXJ1tbWzN9GkREETNXbtbttVZRpqA73B830SGRTJbRY/i8CjqWz4673GjXa6KMHt/v88b1yiOi04QQbVLKOqvjmJkjIsogo1q2YFcYDy6sdiWoMnyMUBjjGzbCIwT6pITf58Ulk0bi2baAq21KUr3BgqjQMZgjIsqQlvYAigYDqVijfV7XJjpYTWJQHz8QDOHpbfviRoolO3bL6PG5i5XIHdwAQUSUAWqtnF4g5/YOTzuTGFRGhTfJjN1K9QYLokLHzBwRUQbo9X0DBpoDu73DM3aDQyKV0urYrUTOKy0bLDTcrvkjynYM5oiIMsCoXqxfypQEHtol25r7XsTxLv3xWkYSGbuViaAqVaPJiLIZl1mJiDIg1Y16jRi1KbHDyVKr2fiwVErlaDKibMXMHBFRBiydMzEqgwTo15Elm92KvX1XTy/C/Ym1pFLnw9phFlSlMkPGnbNUiBjMERFlgJ06smSXDJe17IzanZrMJgYAups1jGQqqOLOWSpEDOaIiDLEqvVIMtmtlvaAbpuRZBjNjNWTqaDKbsaTKJ+wZo6IKEsZZdLsZNiaNu12NZATgKOAyE47Eu1M2pkrN7tST1df48cDV1fB7/NCYCAA5fxXynfMzBERZSmPQUNhO7VrZsuZPq+CT7p7HS2b3jBjnKOAyGoZ2e4SciI3uA7DAAAgAElEQVQ1g241WybKFQzmiIiylFGwZScIM1rmFAAa51diSXOH7fPweRWsqK+yfbzKLKiys4TMNiNE9nCZlYgoSxnVqNmpXdNb5hQ4nWFzUrt2IuSsJ50ddjZIsM0IkT0M5oiIslQyY7D0asceXFgdybA5GfGVik0Ldvrssc0IkT1cZiUiShOn9V/JjsEyW+aMve9yr4JwXz9O9cSPGAsEQxjfsBEVZQqWX1HpyhKnnV2nbDNCZI+QDgpgc11dXZ1sbW3N9GkQUQGIDdwumTQSz7YF4oKXbNtpqZ630Y5ZxSPQdO1UV87ZKriNrZkDsvM1I0oVIUSblLLO8jgGc0RE7tILQgSg2yrE7/Nia8OlaTs3lVUgNXPlZsOAzu1zNjuXTMx3JcoWdoM5LrMSEblMr3Df6Ndmq/qvVAQzZrtE1fM362XnZs2a1Y5VthkhssZgjojIZU6CHV+ZYnhdqlpzGO0SvXfDLnSH++Oui2VUs+Yk8DRbzk3HDFeifMLdrERELnNSoH+8K2w4/SBVrTmMgs3jXWHLQE7xCN3dtGrgGQiGIHE68NR7XtpjnZ4jEcVjZo6IyGVL50zEkuYO2+O0jDJuqWrNYbRL1IrZblYnc2T1jo1VJAQmNGyEr0yBlAO97lgzR6SPmTkiIpfV1/gdz0XVy7jZ6cWWCKP+dT6v/pKv3+fFnpXz0H7PbMNAykngaSeQ7JMSEgPZwmAobJntIypkDOaIiFLAzpSGWLGBTzJNg80YDaNvnF+Z8OPZDTxb2gMwmyxrNXeWEyCI4nGZlYgoBfSa4lqJDXySbRpsxmpuqtPHs9MEWL1vvaylAPDgwmpbM2NZT0cUjcEcEVEKqAHQHWt3oM9GP08B4JJJI3XvJ501Yok+nt3A0ygQk4P3YdUWBeAECKJYDOaIiFKkvsZvK9MEDAQzT23bh41vHXJtZFa62QkEjTZfqMvSVhlNN5aZifINa+aIiFLIaRbpeFc4r4v8reoAY+v5KsoU+LxKVG1fLga6RKnEcV5ERCnU0h5w1KZElakxX+nAEV1E9nCcFxFRFqiv8eO3rfuw9b1jjm6Xz0X+dpZjGfAR2cdgjogoxfYcdR6YFXKRf6rGmBHlK9bMERGlmNMsm9HIrEKRqjFmRPmKwRwRUYo5zrIVTimzrlSNMSPKV1xmJaKclgu1VUvnTMRimy1KACDcL3VnmhYKo/YletMkUvXe58LnikjFzBwR5Sy1tioQDGX17M76Gj8qyvTnnhop5CyUnTFmVu99S3sAM1duxoSGjZi5crOjz0SufK6IVAzmiChn5VJt1fIr4ueeKh5hOKe0kDdAGM2O1WbGzN77ZIOxXPpcEQFcZiWiHJZLtVVG464A2Jppmq+MljOt2peYvfdmwZidpdJc+lwRAQzmiCiH2a2tyhS9QMWoEXCu1Ge5WUuWTAsSs/c+2WAs2z9XRLEYzBFRztKb4+lGVsuNgMVJoJLocPt0c7v/WzIZNLP3vmnTbkfBWOz7fcmkkXi2LVCw2VLKPayZI6KcZae2yim3it/zse7K7eeUTAbN7L23s4FCpfd+N7++H0WaYkafV+FMWMpqzMwRUU5zO6uVbL2VKh/rrtx4TtosWJEQ6NOZD253OdPovTeqT9Q7Vu/9DvdLhHtOX/Zpb7+t8yHKFAZzREQabgVhbtZdZUvPs2SfU+wyrV4gl8xyptHrpF6+pLkj7vWz874mEswTpRODOSLKKakObNwKwtyq58umOaXJPie9LBgAeIRAv5RJ1Sc2rt+FYCgcuUx9nVr3Houqf4t9/Yze71i5nFGl/MeaOSLKGelo5uqk3sqMW/V82VR7l+xzMgqI+qXEByvnYWvDpQlvNNEGcqpQuA9rtu83ff303m893MlK2YyZOSLKGW7VswHm/c3UxzJarrPKCsYe9+DC6oSzaNlWe5dMjWIqWn4YZftUeku5wOnXL/b9LvcqONXTi3Df6dtxJytlOwZzRJQz3ApsrJYu9QIWu8udbi+L5lPPs1S0krF67z02NlnEvt/ZUqNIZBeDOSLKGW4FNolk+Ixuc8faHZHC+ksmjcSa7fvjgodQuA/3btiVUECQql56meBkl6ldZjVvXsWDa2r9jnvG5UrfPyIVgzkiyhluBTZG2ZxAMISW9oBuVs4oYFADt0AwhKe27TN8zONdYd37tpKKAChVrHaTOj1/O7fT+0wAQEWZguVXVKK+xo+6LwzPidePKFFCGtQT5KO6ujrZ2tqa6dMgoiS4sQQ2c+Vm02yOtqg/dtk0GX6f13CcV67Te53MMmNWGyeM7k/vdlwWpXwlhGiTUtZZHsdgjogKjVWApg26zAI/pwSAD1bOc+W+so3R62RUs1ZRpqBsSLFhAGZ0f/kcEBPFshvMcZmViAqOGjQsbu7QvV67DOvmrtFc3LRgl9HrZLSb9HhXGMe7BtqJBIIhLGnuwOLmDvgHAzunm1305qtu6TzMbB0VBPaZI6KCVF/jh98guNIGXW4FYLm6acGuZF8nNeRTd/+WexXbj6PXf/Cpbfui/r64uQMTGjZiWcvOpM6TKBsxmCOigmWnQfAlk0Ym/TiJNgzOJWavkzC8Rl8o3AchYLt5c+P6XbZqGiWAp7btY0BHeYfBHBEVLDsTDTa+dcjyfryKBxVl+pkktcYrGwO5lvYAZq7cjAkNGzFz5eaEJ2m0tAfwbJvxbSUQ9Rr7DLJuWsGusK1pEy3tAd3pD2bWbN/v6HiibMeaOSLKOW7uXrTqKabWdZkJhftQUlwEr+LJmX5wbjY3tprCELtpwc4O4dE+r61+b4mMNTOq4yPKVQzmiChntLQHcO+GXVEBVioHzzvJVAVDYfi8CkqVIgS7wllfdO/maDSzTSJ6Aa22d14gGILA6Zo5o9sk8thGPMLpwi9RdmMwR0Rpk0xGzSyb4yQIMTsH7XXqjE4ngqEwvIonbhZrNvZBc3Pmq9EUBo8QhrWC2qxbMq+P0WOXKUUQQuBUT/zn5frpY23dN1GuYDBHRGmR7LKe1VKenSDE7BwARF3ntA5LFRtYuj2r1S1uznw1msxhd9NHMuOzjB773wcfe1nLzsiINY8QuH76WKyor0rosYiyFYM5IkqLZJf1rII1O0GI2Tmof3aDdiyY2UxXAK5kpxLh5szXTI4cs3rsFfVVDN4o7zGYI6K0SHZZr9yrGGbLBGArCHFzadGKmn0za6ZrlBVMR/bO7QAsk8PpM/nYRNmAwRwRpUUyy3ot7QHT+jUJe0GPUUConoNbY7uA0xk/o+etPUb9s951qQxSGAQR5Qf2mSOitNBr0Kt4BE592mvZ56xp026E+4zbSRhNctAyCgiVIoGlcyZi/Aj3R20dDIZ0n3fsMenMGBJR/mFmjojSInZZz1em4GR3byRTFru0qK0hM+sKZrfOyyggHFZajPoaf6SGLRFCAHqty9ReaQBwx9oduv3NJIyH0efzLNdUycadw0SpxmCOiFxj9UWqXdabuXJzXENe7bKjVVNZwLz1RSyjLFdw8BySaSR7w/RxeLYtYLqZ4LPeYsMGxHqPnc0Nh51KV4CVrTuHiVKNy6xE5Aq9Yed3P7fTcOnUqI4sEAxZtiEBBoKdny2YCgC2RlIZZbnUyxNtJFskBnZMPnB1VdRIr5LigX9e1dfFziQJjxCmo6tykdPPRTKsdisT5SsGc0TkCqdfpGbBk9VGBAHgmtqBQMduoKBXu6bNfiXaSLZfk1TrDvdH/hwMhXH3cztx7wZ7Q+AH7kvig5XzsnaWayLSGWCx9pAKFYM5InKF0y/SZJY1JYAtnYcdBQr1NX7Twe0r6qtw44xxjs9FDUqNzsVORk5VJERKMlaZlM4Ayyr7SpSvWDNHRK5w2nrEb9Kyww6zYMDoOqtWHGpz2ae27bN9HmpQ6kZbE23vuXzJzLk5acKKm42QiXIJM3NE5AqrZUy945MZd+4rU1KSidnSedjR8R4hcMPjryX8eLHyrcbL6eciGVbZV6J8xcwcEbnC6USB+ho/Fjd3mN6nRwh8prRYt9GvlKnJxDjNsPVJia3vHUv48fTkU41X7Oei3KtACGBJcweaNu12fWcrGyFTIWIwR0SucfpFarXUev30sYZLnsFQOCUzQY16vqVTvtV4qZ8Ltg4hSg0Gc0SUMXqZNWCgCe8N08dhRX0VfrN9X9SOUZW68cDtTEw6AjmzgDGfa7zMNqwwmCNKHGvmiCij1H5sAFBRpuChhdV4cEE1tnQexviGjbqBHJC6oMtoNJi2h1yy9/+zBVN1R3z5vEpe13ixdQhRajAzR0QpZdT9P3bJDRjo09a691jcNAU9iTb5tbJ0zkQs/e0OhDVRpFIksPyKSjRt2p3UrlU165aK5eFckM6drUY47ovyEYM5IkoZsxopoyW3Ndv328q69UmZui/m2Dhx8O9Gy8J2+GPOz87ycL4FHpluHcKaPcpXQma40Ded6urqZGtra6ZPg6hgzFy5WTcT4/d5cXBwakOifF4Fn/b2RwUGAgMNhWMDJ7fOeWvDpVEBFsTArlozN84YF+lf54Re5tKreHJ+GTaTAarVe0uUbYQQbVLKOqvjmJkjIldpv6yN4hz1i1zvi9XOblLFIyAE4jJk6q2SybhY1XVpM2o1971oOuFB8QjUfWG4rceNDXJOfdqbl5sFMtk6hDV7lK+4AYKIXBM7VN2ImpHRayZ7/fSxupsDVBVlCpqunYqgxZisRJvvOmlEbHUO4T5p6xz0htHr9dYDGHgkg+O+KF8xM0dErtGrg4tlZxNA3ReGWy7F2dmMkEjg46Suyyi76PQc7Lxu2sekxGS6Zo8oVRjMEZFrzAIXAcQFZkZLbnaW4uxsRkgk8NEGmYFgCB4horJ82vNy6xzsBp35HHiko5auUHcRU/5jMEdEjhl98RplqpwUmNv9UlcvMxsJlmjgo9631c7H2MAvlt3gyyzDp9YQxm7qyKedruncZcpxX5SPWDNHRI7o1Xfd/dxOtLQHkh6qbnbfeupr/IZNfn1eJakvbbNpBbHnoPe8BYBrau0FDpdMGml4XZ+UcUvTTl+nbGf3tSYifQzmiMgRq5FMD1xdBb/PC4GBjJyTVhqJfKkbBZCN8yvtPSEDTnY+6p23BLCl87Ctx7I6LvY1yLfgh7tMiZKT0WVWIcRcAA8D8AD4LynlypjrSwD8CkAtgKMAFkop9wghxgN4G4D6L9c2KeUt6TpvokLmpHWHHXZbmRhJVR2U0dJnuVfBzJWbox7LTjBiNgnDzlQJ7TH5Fvxkw2QIolyWsWBOCOEB8HMAXwVwAMAbQoj1Usq/aw77LoDjUsovCSGuA/ATAAsHr3tPSlmd1pMmIle/ePUa4xo9pplU1EHpbW5QigRO9fRG2oaoy5u+MkW335x63kY1Ya17j6H5jf22zkc7vizfgh+3dpnmUx0hkROZXGa9AMC7Usr3pZQ9AJ4BcGXMMVcCeHLwz+sAXCZEigYyEpEtydbFadlpyaF4REZ2cOotGQ8rLUa4Lzp/GAr3QUqYviZmo8ti78+ItpGym+9BNkh2eR7IvzpCIicyuczqB6D9lfQAgOlGx0gpe4UQJwCMGLxughCiHcA/ASyTUv5V70GEEDcDuBkAxo0b597ZExUoN5c17SwLDh1SnLHsSmzGb0LDRt3jToTCeHBhteFrYvQ87cygVWk3euRji41ks6tWtZxE+SxXW5McAjBOSnlUCFELoEUIUSml/GfsgVLKVQBWAQOzWdN8nkR5ya1lTTtNd08YTEJIBbO6tqZNuw1r+oqEwJLmDoz2efHgwuq41yaZ0WWAftaNLTai5VsdIZETmVxmDQAYq/n7mMHLdI8RQhQDKAdwVEr5qZTyKABIKdsAvAfgnJSfMRE50tIewMyVmzGhYSNmrtwct+Slt1wYK111YEbLdMtadkYuN9InpenSntnoMsVjXjmSyJJjrrL6vJjhqC4qZJkM5t4AcLYQYoIQYgiA6wCsjzlmPYDvDP75WgCbpZRSCDFycAMFhBBnATgbwPtpOm8issFODZO2VgoY6M2mlc46MKNluqe27bM9aku9jV4vOr2asBX1VWi6diqMKoHVZsuFEsglU/OWb3WERE5kbJl1sAbuBwA2YaA1yRNSyl1CiPsAtEop1wP4bwC/FkK8C+AYBgI+ALgYwH1CiDCAfgC3SCmPpf9ZEJERuzVM2uXCdO5GjH0sO+1B7NJb2jMbXQag4GeGJlvzZlRHCCCulUwhBMdUWDJaMyelfAHACzGX3aP5czeAb+jc7lkAz6b8BIkoYYnUMKWrDkyvVYgADGvinHK6tJePGxqcMvu82Any9Y4BrEeyEeWDXN0AQURZLpt7oRlNbHAjoEs0o1boGxrMmjRbBWRGffxKlSLucKWCwHFeROS6Pz36Kzywdhk2ttyJ1ZtWYNb+NgDZs3RolAWSQKSuzUxFmaJ7uUeIgtms4DajmjchYDm6zGiJVq+RMzAQ7LH/HOUTZuaIyFV/evRXGP7YT1HaN/BF+rlQELd3rEPZkGLMvu07tgMdq6U1o2U1s9Yi6uVlQzw41RO/qaGiTMHWhkvR0h7A4uYO3fPyeRUsv6JSd3LFZ738JzVRRkvNSwzeB21Ankj7ES63Uj4R0kHTylxXV1cnW1tbM30aRHntr7VfxhmnjsddfmRoBf6l7VVb96E35sureCJZL73rFY8AJBDul1G3mTauHK++d8zW8qnPq6Bj+WzMXLnZcEPEQ4N95FraA2hcvysy2kvvPCl5Ru+FutMXAKrvfTHufbBDex9E2UgI0SalrLM6jsusROSq4TqBnNnlesx2NhpdH+6TUYGceputNgM54HSDYqtNGur/h5bEZ+L0WpOQc2rPOXVzilbscn2iQx7ZUJjyBYM5InLVsaEVji7XY7UTNlVfwurmDKNNGv6Yyzl1IDW0PeeA05tTAP0mykGD2jiVxyDay4bNOERuYDBHRK7qWXQLuj3RGwS6PQp6Ft1i+z6suvmXe/U3ICRDm+2x24CWUwdSw2i3sW/wfV/S3BE1IcLs9VYnbbChMOUzBnNE5KrLfvhtHLvlThwZWoF+DNTKHbvlTlz2w2/bvg+rYCrRZTUz2myP0cSG2Dq4SyaNzOjUinxllNkMhsK6EyKMxsJVlCmRSRtW72cyo8SIMo0bIIgoK5ntZp3QsNGwDs6fwDSHRArh9TZhCAA3zBiHFfVVju6LopltQInlEQI/WzAVQOJNl6023BBlit0NENxHT0S2JDJqy2nn/nKvAiEGaqDKvQrCff2RLEzj+l0ABrJmbo7fSjSTZrQUuKXzsCvnVciWzpmo2/pFT5+UuPu5nXjg6qqEd6YmO0qMKNMYzBGRJaMO+4Bxny6j27TuPYYtnYdxMBiCr0zBye7eyC5UbXuJ2FYTwVAYS3+7A4D5l72T0Vw+r4LG+ZUJfWFz80Pq6PWc6+rpNWwCnGzgxfeSch2DOSKy5DRz0dIewB1rd6BPxrcKeXrbvkigZfTlbCTcL9G0aXckA9O0abduhs7uaK6hJcUJBwDZPK4sH8SON1vWshNPbdtneHwygRffS8p13ABBRJacZC7UjFxsIKdSL521vw2rN62IG/ll91zqa/zY2nCp4egtO6O5khnrZHfHK7lj41uHTK9PJvDie0m5jpk5IrLkJHOhl8WLdWvHs7h8z2uR3yY/FwpiyZvNuGXn7/GZni4c9vqwesrX8PLYWsvHNDo37aYGs4L6RMc6GY2fYo2V+1raA6ZZXKVIoKunFxMaNlqOdtPD95JyHXezEpElO+O11C9Cs39RBICv7G/D0rY1lssC3R4FD1dfGxXQKUUCTd+YGtdSwmonot4xWhzrlN3MgnEhgOIigXDf6U+eUiQAgajLuDuVchF3sxKRa8wyFy3tAWz4zydw/99ewMhQ0DCr5hEC108fi/+xaYWt+o7SvjAW/f0PkfsRABZeMDbuy9hOVkX982IbQ9sp+5i9P+WlStxmmdixbgB3p1J+YzBHRLbEFqSr/vjIk/jBm79Fad/AF+rnQkHc3rEOACKBmDajtqshaPsxR4ZOHysBPLVtH373ZgD3X1UVF6xZfUnX1/gNN0yw0D27GS2l+7xKZJ6uHQzaKV9xAwQRJaylPYBvdGyIBHIqNaumGlZ6eteokxmth72+uMtO9fRhcXMHxifQqZ+F7rnJ6H1rnF/pKBC3cywnQVAuYjBHRAlR69C02TMt7eXa4nW92a0SQG/MvtNuj4LVU75meg7akU52mI3p4pd49jJ73/QCPaVIQPFEf57sBO3qZ1pvZBhRNuMGCKICZzWl4U+P/gpDVj+G4aeO49jQCvQsugWX/fDbkaL01ZtW4HM6Ad1HXh8WzVkGYKDe7cGF1ZH71btPAFGXPXPe5dj4uam2nkOyGxiMNlFcU+uPNDjmDsfspfcZBpzvTjXbaOHn+08ZYHcDBIM5ogJmtRP0T4/+CsMf+2nUMmq3R8GxW+7EdwMjAAz0i7u9Y13cMbE7UZ0GXC3tAcMNC7EEgA9WzrN937GMvsRjGw9zR2Tuiw38Lpk0MhKwW30b8v2ndLMbzHGZlaiAmU12AAYyZXr1cJ4n/m/k7y+PrcXD1dfiI68P/RjIyMUGcoDz4nMnX5jJbmAwOrfYL3fta0O5R28Z9alt+yJ/t8L3n7IVd7MSFTCryQ7DTx3XvT62Tu7lsbV4eWwtBIByb3yrCMA64NJbKvMb7GLUcmMDg9FuST3cEZm77DS0tsL3n7IRgzmiAmY12eHY0AqcoRPQ6e0yBQYyWY3zK3H3czsx/f3Xsejvf4j0nntn/rcADCyz6i11PdsWiHzRqoXn08aV657f0CEedPX0mdZCWdUCai2dM9G0qbDea0O5wW5Da7v4/lM2YjBHVMD0ghhtpqtn0S3ojqmZ6xFFKO3rwcaWO+MaBHuEwJLmDnz1YDtu1dTRfS4URPm6x/CnM4bhk4sui3rMs3e+gv/R/AdcH9NwOBTuw7b39TODvrIh2HWfcf1dbC2gGhwC+su32sbDZhk6tjHJLVaTP4xUlClYfkWl6c8GUTZhMEdUwKymJ3xy0WX4zet78a3B6Q6fKF6U9fagvKcLQHyD4L7BDVXf3LlRt9ZuyOrH0HRqTOQLMnbzhNH9xYpd6orNwnX19BrWAprN56yv8WN8w0bD16ukmGXGuSTRZVUpOa+VcguDOaICZzY9oWnTbgT80/An/zQAwOpNK1Aejg6kYsduAfE1darhp45HBWKL/v4Hw4bDL4+thUcI3YBOu9Sll4Uzkmy9UzAUNs3wUXYxe79jdyprqVMlYn821F6EDO4o2/DXTKICZadJbuyXoZ0GwYBxTd2xoRVRgZjZ/XkVD66fPtZyYoOT7IudeiefVzG9njsac4fR++33efHBynnwG1yvdzs2FKZsxmCOqAAta9mJJc0dll9MsV9qRkHaEW/0iK7VU74WN+Wh26OgZ9EtUR37ze7vgaursKK+yrDzv8puts1uvVPj/EooRcL0GO5ozA1W49ucjHezauNDlElcZiUqMC3tATy9bZ9hDzVtoBS7QWL1lK/pNgj+x/wbIT49vWylLrmqu1m1kyNUTZt2G95f7023RM7DbBkYMB/CPrSk2PGSmJ3NENzRmBus6t6c1MVZtfEhyiROgCAqMDX3vRg1K1VLHbtl1CF/tM+LRaFOTHr+qbjxXstadsYFiXY65mtHex3xVuCXU+binaqLbAdfVlMskpHK+6bcYjQlJNlRckRmOM5LB4M5KnRWI7J8XgWf9vYnHLw46e0We7tkgqZEH9eOVN435Q4G9pQJDOZ0MJijQmc2SFwA8JUpulm7VGcfmPWgXMDAntLNbjDHmjmiAmJW31OqFBkuv7pdFxT7pWgUYLIeibKJVf0mUaZwNytRATEr3A+F+2G0h9PNgn+9Fg/peFwionzFzBxRntJbErKaQSoR30zV7RFGei0e0vG42YJLddlF7/1o3XsMa7bvR5+U8AiB66ePxYr6qkyfKpEh1swR5SG9Ym3FIzB0SDGCobDhZAWV3+eNCzbcCkImNGw07Lyv97j5hEX02UXv/fAUCfT1x39Cb5wxjgEdpR1r5ogKmF72K9wnERwcU9QnpeE4I48QuoGc+qU3a38bFm36A0auDuIvZRUI/8/o/nFWjGrkCmGzg1njWQZz6af3fugFcgDwm+37GMxR1mLNHFEesrNxQF3ajNUnZdxUCPVLb9b+NtzesQ6fCwVRBGBk13EMf+yn+NOjv7J9bk667ucbNp7NPO0YO7M5vrH6JTi6i7IWM3NEechsh6iWxOmlzSKdpVc1a6QGG4v+/oeoaQ0AUNoXxpDVjwE2s3NOuu7nG6P3hRs90kNvWdWJJc0daN17LKqJdqF8dim7MZgjykNWGx1U2qXNCQ0bdY/Rtg8ZGQrqHjP81PHIn+3U1hVqiwe996VQspLZQG9Z1QkJ4Klt+yJ/V7PXAAry80zZg8usRHmovsYfNaC+TIn/UY8NIoyyQ2pA5lU8OOz16R5zbGgFAP22I+pSLcW/L36fl5sf0igVy9lq9pook5iZI8pTavZLDbC0BIBraqOzY2ZZI/W4tQeuwPdefyZqqbXbo6Bn0S0AWOBvR6FmJbOB3fIDpwLBEMY3bISfy66UIQzmiHKEk9Yg2mP1auEkgC2dh6Mus6plq6/xo/6X/4Y/PToGQ1Y/huGnjuPY0Ar0LDq9m5UF/pTN7JYfJIrLrpQp7DNHlAOMCrcryhQsv6Iy6ovDbpG3APDBynmunidnrFK20/6ik6pvP37eyS3sM0eUR4wKt493heMyAXaLvNUaOTcnEtgp8OcEBMok7TK30S8fyar95x/xYePNGCUP42MxEvunLcX587/v+uMQqbgBgigHmC1TxhZg213SvGTSSMsNC9qeXDNXbrbcyGBV4M8NEpRNls6ZCKXIaDJwvPlFr+CVIbfh/ZJv4pUht2F+0Su6x6xU/gtn4jCKBIhZEYQAACAASURBVHAmDuPctmV4Y/0vDO/3jfW/wIeNX0L/8nJ82Pgl02OJ9HCZlSgHWGUQtEumTrINRmO91EJut0dPcRmWMi02M3zJpJF4fsehyHQUI2qQViZ6Ipd1ySFoCP8vrO+/KHLZK0Nuw5iiI3G3/xAjcWbju3GXv7H+Fzi3bRm8mvsNySH4W+0KZvPI9jIrM3NEOUBvaoKWtq2I1bFaRvNZDwZDpjtTE8UNEpRJepnhZ9sCaJxfqTsNReuu4rVRgRwAlIke3FW8Nuqy0SI+kAOAUVL/8rFvNkUFcgDgFT0Y+2aTxRkRncaaOaIcoGbCGtfvissgxNakxe5K1dvNamX04FQIPckEXpyAkBmsUxxg9guKr0zB8S7j7JxRkDZaHI36+0F5BsboHPuxOANn6tx+lDysO1fPKPgj0sPMHFGOqK/xo2P5bDy0sNqy6Wx9jR9bGy7FByvn4WcLpjqqC1KDQ7Mmwokq5LmsmcI6xdPMfkGx+n3noDzD4PIRUZ/p/+hdgC45JOqYkByC/dOW6t7+YzHS4HL9xyPSw2COKMdoAzW1zsxyk4LNWM4jRKSZcCoCL05ASL9ULJfnKrNfUE5Y1MzpBWldcgh+XvTNqM9022e/iue/0IAPMRL9UuBDjDStf9s/bSlCDoI/Ij3cAEGUw/R6ynkVD66p9UeGgTtdZtVucuDyXO6b0LBRt59aKvoMZjujn5cHrq5C06bdlhuH5he9gruK12K0OIqDcgR+1r8QX7nmfyf9M/HG+l9g7JtNGCWP4GNxBluZUITdDRAM5ohyjNV0B2DgizqZn2zuLs0f3EEcTW8365bOwwgEQ7Z+bjxCoF9K/nJDacGmwUR5KDazYJRxS/ZXNO4uzR92GjkXEm3T4NifJ4nTvwj5vApO9fQi3Hf6pynZ1jxEqcKaOaIcYne6Q7K4uzR/sE7RmN7Pk8TAa9SxfDaarp3K141yAjNzRDkkHRkzAUSyNqyZyw/abBSdZvTzFAiGMKFhoyuf+dP1cBztRanDzBxRDjHKmHnEwHZVBx1IDEkgsvmBLS0on5V7FcPr1M/8kuYOLGvZmdD9q9MdnIz2IkoEgzmiHGLULuT66WPhVTzod2E/k38wYGRLC8pmTucG6xE2fvmRAJ7eti+h++d0B0oXLrMS5ZDY6Q7qMpBbtXTawniO3kotLmEnLnbjgpo1BhC1ucHq9Q2aTHzQkhj4mTN6f4yWUjndgdKFwRxRjtGrf1rc3JHw/RUJQEpEvvCAgXYWRkk+bo5Inp1ghIyZZY21JQJWr6/ReDk9Rr/EqEupXtEDDC6llrctwxsAxoqROBOH425jNNqLKFFcZiXKAx4760UG+iXw4MLqSM8xtU5OTyG3tHATl7CTY5U1tvv66pUtGDH6JcZsKZXTHShdLDNzQojPAhgppXwv5vLzpJRvpezMiMg2JxMe9KhZC7PlWj+XAl3DJezkGGXU1IDL7uurV7YwfoQXr753LCozbfZLjNlS6pnzvz+QodNOd6jlblZyn2kwJ4RYAOAhAB8LIRQAi6SUbwxevRrAtNSeHhHZ4XewXKRHzVoYfQkKoCCnBaSKVTBC5qwaITt5ffXKFpzUM35ssZR6/vzvA4PB25mD/xG5zWqZ9d8A1EopqwH8TwC/FkJcNXidC00QiMgNTpaLjKhfXHqKhGBLEhcZ7UrmErY9Vo2Qk31962v82NpwKT5YOQ9bGy41zUZzKZWygdUyq0dKeQgApJSvCyEuAfC8EGIskp8YREQu0S4XJZqhkwC6enqhFAmEY3qc9EmJpet2RD0WJc5oVzJfW/vMGiGrl9+7YReOD+5YLSmOz124saP4fC6lUhYQ0qTWRgjxKoBvaevlhBCfAdAC4CIpZUnqT9E9dXV1srW1NdOnQZRSLe0BLGnuSPi3LcUj0NsndW9fUaag/Z7ZyZweUdLsTFWI3dEKRM9WtbqeKBsIIdqklHVWx1kts96KmOVUKeUnAOYCuCnx0yOiVKmv8eOGGeMSvn3YIJADEMlyEGWK3lSFyrZlWPvEz6KOs9rRyh3FlE+sgrlTAD6nc/kFALa5fzpE5IYV9VV4aGE1fCbjiohykV4rkDLRgy/v+T9RdZ1WO1qt5rImOlWCKBOsgrmHAPxT5/J/Dl5HRFkidrwRADTOr0x6Y4QWg0PKtFEyfucoAIwWR6OyakabedTLzXYO680idmN8GFGqWG2A+JyUMm7CsJRypxBifErOiCgPpXp0k1HH+1KlyPGYL8Uj0Ncv4+a8FmEgOEz0/FjsT24wagVyUI6IyrZZtS/Ruz6WdtmVEzsom1ll5nwm17EhEpENaqAVCIZ0f+N3g1H9j90at4oyJdLiYeiQ4rhADgDKy5SEvrhS9fyZKSlM+6ctRVdMK5AuOQT/0bsgKttm1b4k9nojB4OhuJ+v+UWv4I/if2N+yxR82PglvLH+F24+RSLHrDJzrUKI70kpH9deKIT4XwDaUndaRPnDao6kG5KdHNAd7seDC6tRX+PHhIaNusfYHUoeKxXPn7NNC9f587+PtUdO4st7/g9Gi6M4KEfgP3oX4I+er+CBmD5yZu1LYq+vvvdFBEPxn/HRPm/Uz9f8olewUvkvlA3W7WlnsbIdCWWKVTC3GMDvhBA34HTwVgdgCICrDG9FRBFujW4yW6p0MjBcjza4Mrqvcq+CmSs3O14qTcXoqnQEyJS9Ftx0B1rar4v6eXjA5udR7+cIAE719MYdqxQJLJ0zMap/413FayOBnEqdxQqLYC72sS+ZNBJbOg+z/ICSZhrMSSk/AvDlwWbB5w5evFFKuTnlZ0aUJ8yCI7usMlF26n+sqMGV3n0pRQKnenojmQsnmbBUjK7ibFOyyrrpMastDffF1xYMKx34ijx26tPIZaPFEd37HiX1L1cft3H9rqjMXyAYwlPb9kX9felv2ZibEmNaMyeEKBVCLAZwDYAeAP+XgRyRM+NH6Actn3zai+p7X7RV82XVE6u+xo9rav1JzdjzlSmR+4qtNRpWWhz3ZWe3J1cqRldZ7VSkwmK3ftJpbenxrvBg8NcfueygPEP32I+F/uVqAKm3hBsr3C/RuH6X5XFEsaw2QDyJgWXVnQC+BuCnKT8jojyyrGUntr53TPe6vn6JYChsa1OAnUzUls7DSc3YO9ndG3n82NmURvVydjJhVoXoieBsU1I52WDjNHPrESIu+PuP3gW6GzB+1r9QN5i8d8MuRxlzO0EfUSyrmrkpUsoqABBC/DeA11N/SkT5Y832/baPNav5srNUmewSY7hfJvX4ZhJZErO6P4CzTclZ/aST2lKv4onbwXpX8VqMFkdwXA5DN4bAh1ORDRjr+78MILoEAeDUFEoPq2Au8imUUvYKkcwiDlHh6TOZfazHKCCz6pkFJL8JItnHTze3A8R8l6+9/pzUT1rVlgogkt0uVYpQUlyEYCgct4N1hDiJLjkEi8O3Yn3/RXH3k8xYsIoyNuYm56yCualCCHUChADgHfy7ACCllJ9N6dkR5TiPEI4COqNMl51MlBubIJJ5fLvyNahIRLpei1xo5ZLoa2H0S4yvbGD3dSAYivwc+n1eXFPrj9p4oKX9ST3eFYbiEVCKhO4O1jLRg7uK12J9T3wwBySWKVc8AsuvSKwxNxU2IR1mDnJZXV2dbG1tzfRpUI6L/dIZP8KLbe8fR5+U8AiB66ePxYr6KgADNXN6XxweAcRunvMqnqRrydRz036BGVGKBMKa7sBuPL6d81u6bkfUZgrFI9B07dScCAzdfLzYAAtI3XugBjWx/D4vtjZc6upjJSKZ10LvtopHABJRn2/t/ZYqRbaXP4sE8O6Qb6JIZ2GqXwqc9enTurerKFMQ7Apb1rGq2UB/gf9iQ/qEEG1Syjqr46wyc0SkoZfh0H5J9kkZCd5W1FdFgro12/dHBVax3zECwLRx5WjatBtLmjsSDhRilx6NGqECwMILxqatx5U2yIwV7pO4d8Mu19pMAKnJNrn9eKnqlacXcJoNlTe7XboCC7uvhdk5qpeXexWc6A7D6PeYULgPJcVFcTVxRvrlwA7WMTotSQ7KEbq3KRLACYtArqJMwfIrKhm8kSsYzBE5oPelo+epbfuwZvv+SJau7gvDowKB2H/kJYBX3zsWudytwMSszHVL5+G0ZGX0MiexEikST3fjYLcfzyzASqQ5M2AccJZ7Fd2gXgzeBkhs9qhbAaCdujerYLq+xh85xmrB6UQojAcXVkede1dPr+Hn8D96F0TVzAEDO1ibehfoHq83Di9Wt6bdCVGyGMwROeCkDkbN0j21bZ+t2rnYa90ITMxGcKWrwa7dANipdDcOdvvxjGq9BE5nzNSApXXvMVtZVKOAs1QpiiruV8nB26jHxd7O7PPnRqZSDQaNfjK0NZx2gmm7n7XRPm9cFtvsl471/RcBYeDfhvwWo+QRfCzOwP7apVj/6hgbz1IfJ5aQmxjMETmQ6I5Rp7taVckGJmbnm64Gu3aeg8/BNAxVKiZLuPF4drNVehtW9AKuULgPT2/bF5W1XdLcgda9xyLL+Cqj19os82n2/phdl2ym0ipjq3gETn3aiwkNG00/x9pztPOzKQBcMmlk3OXqOd+xdofuz2vbZ7+KMxseAACcOfjf6L/r1yLadTAY4oYgcoVV02Ai0tBrVusGo9XQZAOTpXMmDhSDx1BnTqaD1XNQigQa5zvfwZfuxsF2Hs9JA1u9ZspGIb9eRu2pbfswPqZJbSKfl9E+b0ITNRLNVKrTGhY3dxgGchVlCiAR1VTbiPYcPTbaZ0kAz7YFDN+Tny2YavtztXTOxKSnrtj9vBCZyWgwJ4SYK4TYLYR4VwjRoHN9iRCiefD67UKI8Zrr7h68fLcQYk46z5sKk/obdCjcF/nS8Pu8mPnF4ba+RIx4hMANM8alJDCpr/Gj6dqpUb2rfF4FTd9IbPdoIvSCIPXV8vu8CZ9LKiZLJPt4VmPX9O5TO2nDn0AwpmbqxjdsxKlPe3WDdyPqZ0wvU6Xet9F4LKNAr0gIw2BEG+yaKRtSrLsTNZYAon5G7GbArd4Tu5+r+ho/vvzF4bYeM5biEZDSeHmbyImMLbMKITwAfg7gqwAOAHhDCLFeSvl3zWHfBXBcSvklIcR1AH4CYKEQYgqA6wBUAhgN4CUhxDlSSvcLc4gQvyTUJ2Xki1D9R96oDYkZbfuFui8MT8lyS6ab66ZqWkMmlqesXstk6+rsLr3GUq8PhsJQioStthjaVhhmwYNRLZxRX8M+KQ1r5+zUtGlrBq3ImMfwOyiDcKu2cs9R4/sRAB5cWI3G9bviN6BI49Fd6apnpfyRyZq5CwC8K6V8HwCEEM8AuBKANpi7EkDj4J/XAfj/xMAYiisBPCOl/BTAB0KIdwfv77U0nTsVGDv1QWr90tPb9xnupvMqRRg+tEQ3AMl00JVKbj+3bG2C68bYMyA68B0/wms431dPuF+ibEgx2u+Zbbu/nFXwoFcLZ1ZjZlQ7ZydIkbDfbDs2k+kkGDZ6T5x+tsyek7rRomnT7rjALdwvDZ9nuupZKX9kcpnVD0A7uPLA4GW6x0gpewGcADDC5m2JXGM341L3heEoLTauqesO90ctq+Vr8JZqTpczk6HWeOkNUY/lRh1f7NKrWebHiPq5tHs+doIHvaCwvsaPfoOgS12i1b5udoMUNfNtRu956C2ROi1hcPrZKjfZvKM+htG/H3rPM9Nj8ig35f1uViHEzQBuBoBx48Zl+GwoV9nNuFgtI+l9mXE3m3PJFN87ea2dZmlSsaScyJKb+jmzez52R8GpO0u192G3xcri5g7bmwXUJWDteV8yaaSt9ix6WWAnJQxOP1tG5bJDh3gsXyO958mff0pEJoO5AICxmr+PGbxM75gDQohiAOUAjtq8LQBASrkKwCpgYJyXK2dOBcfuoHmzL169HaTZulyY7Yy+HCUGRlfpfSE6ea3NJlZYtd9we0nZV6Y4aqoc+zmzcz7aoM+s5ky741K9nZOlTTv/AHsVDy6ZNDKqzqyrpxd1XxiOFfVVkfdmSXMHmjbtNg1+YoP3BxdWW74WTpfKjXo5dvWcfj3M/v3I5/IKSp9MLrO+AeBsIcQEIcQQDGxoWB9zzHoA3xn887UANsuBYbLrAVw3uNt1AoCzAbyepvOmAlRf48c1tf7IrlWPELimNv4fYdNlJJ3f4NO5XJjLYpc6L5k00nAZzqi9g93X2s6Oy1QXqKvPd3zDRufTMRLcWK0u79rZUat93Zy0WLHi93lxTa0fza/vj6oxO94Vxh2/3YEpP/4DFjd32Grl4aRNjJbTpXI7bV3SvfOaCo+QCTYzdeXBhfg6gIcAeAA8IaW8XwhxH4BWKeV6IUQpgF8DqAFwDMB1mg0TPwJwE4BeAIullH+wery6ujrZ2tqaomdD+UJvKQ5A3G/WSpHAsNJiBLv+//buPkius7rz+O9MT0ueESlmnChIbrCtBCKvjWKpPAtUuYiiwWuRBcMssqWkFJd3Q0hRlX/sdSkRBUEW6yoUVFl7q5KtFA5JWCISySgrbJyNYzxCS7nKbKRIAuSy1wb5rZHChEheShrbrZln/+i+o56e+9p9u2/f29+Pa8qafpl5pm9339PP85xzaqG3a9WcRbhm52O+Jz6TdHrPh9L8s3IrqAn7lpsqOvzsTGDQ1brJP+5jHZQ0EPazO9H6fNt03UodPFbtqGtGJ+OL035NCn+OxnkMW3lj7uS+ccYQ57FJshwf9PwkWEMazOyYc24i8nZZBnO9RjCHKEFvzFeUhyJnSLzgLs5MStRt0wwW8ipsqVO6/Bh1GqTFDfqaf67T4qC8XXEDp6Q6/TDQHMwMBWRchj1Hk/5dJmn7+67W/VPrIh//oPu3/r3X7nws8PZxj13coI59r+iWuMFc4RMggCSCluLinJRq8y72kljYbYuazdYcnHklGYJOqnGCAW+pM+4ep7j7HsNaRzXvBetkf2NUoNqpuFmjQUFI8z6uoA84Yc9R7767Hz0V6zXhdWWYuObKtlrmOdXrPHrlgQ4dr4bW54tz7JLssWTfG7JGOy+gSdbFOou6l6Z1H5o305Nkf1srL2CJu8epdd/S+GhZy4eHdM/+E4tKjgT9vLGRsm/f1KT7G+N2QWhX3A8DcfeUtbvfa2pDRcc/e6se3LZ+Se9dvwxQ77HcsXmtykPJN/791dMv6zOH6sHW3sefi5zdizp27GdFnjAzBzQJmxUoD1msFkPtMqmwS6thwZlfdmhUUO1lPN68Z1o/Oj+rt46UdUV5aNH+xakNFd+Zp6d2TsaadWm93z37T/iOJekHgDiBaqs4XSC828X9MBCnELan05mnC29eWvR90O6eH52fXfg9n/rb72q2Np/o9+x7+mXdP7Uu9jHxbuf3POm0mwfQSwRzQBPvpO13rnnLFcMaXTac+dJYHkWdAFuvDwuqKz5JAudnaxoplxaVnggL2KICGb/gJWhZNOlxSxoMeEvRdwcEk82GE/Rl7VWwsvvRU6rNxfsQ5BXg9bomtLPcKoU/f5pdNTaizxz6nvY9/fKi5fO795/QkPkHnUV+nSK/WGYFmkxtqATOgJy7WNNTOyf14Lb17VZ/WNDaDL2o++Q8USdAv/1tfkudD25br6d2TurwszORS2BhAVvQiT4sAEiju4MUPxgol2zh75XiVRypzbnYy4BxSmqkIUlplTcvzS2UoOnkQ9Om61ZGPl7e7G5zINfMbxK+6K9T5BfBHNCiFFDS3bs8LOCTtLCvaHzUv81PZWxEe2+/caBqTvkFQp64bZmaH6M4s0phtwk6xpIC23alVSss7LFoNtc0mxVnD5gn7sxaWsFpmi7W5hf28LVj+fCQ/s0f/C/9VUuAZpJu/sUrlxy7w8/ORP4uMw3M6xT5xTIr0CKowXfz5ZWQ9jzeTEpYFuCgZb+1dhiIymb17hP0GMXJYA27TZwuBzsePqndj55asg+v0+PWuicvqPTHfOM2UxsqiZY+486sdaP1mJ+xkfKSJvPd8sYl/z12TtKLP5ld9NqMu4zrnPQiNR/R5wjmgBZhgZpn03Ur9VdPv7zkNpuuW7nw716dLPMizQA2TpmRsNvEOZE3l49Ju81a82OxJqQeWlT5lVZJZ9Z68aHivo/coB0Pn+xq8lAc1fOzobXngDwjmANaRAUKh45X9dffecX3voefnVn0/aDNwPVKnEA56jZJi/XO1uZ074GTumf/iVQD87BArbn8SpLOIv3E7zhsum6lHvvumYVgeWykLLNk++s8pYCZzbQEbZcA+gkdIAAfQcVUo4rZ0oYrP+J0OQiTVsumQ8er2vG1k0syPstDpr133LgoOzcoo7WfnnftdkPoVjeMTj3YlCEN9BodIIAOBM2oRdUIe+sIn+Kb9WObo9YxPbBtvaT2Zur8arIl5dctYbQ8pGXDJd29/4TuPXByYX9h0P6zfimXkaRrQqvWfZV+LKBcSDd4Lcayfr4CcTAzByQQ1TeyXDLtvf3GQpwAOg3EDh2vBu6VympJ0G/2xyvI285G/W7MiAXN1EmNkjZOix7Tfmrq3klz+2ZhzeuD6kCmbXy0rF233dAXjysGV9yZOUqTAAlEzYAkqfPVz+K2egpz3yOnAje9t/Pz0uA3s+qN8PxsLXH9wG7MiIUV2a3NOb3liuG+LWuTViHisNZrQyFlZdJ07mItk+co0A6COSCBODXCitDuJ42+lFGzXLO1Od33yKm2xteOQ8erkRmhQTM+Q6Yl/UK7VZMtKgng3MWadmxeq9N7PqSndk72TSAnpVuIeGpDRU/tnNQD29br9dq8zs/W5ORfOsgrKJ02erEiLwjmgJi8ZcfZ2lxo0dl+2b/UiV61ejo/W1s083HoeHWhA4Bf4d52eTON7Zp3WjIjtuWmesuptMcaR7/OGHWjEHHQPtXm2Hr5cP1UNtaFPatF+HCG4iOYA2JoXnaU6rMD5ZL1bLam16JmWOIEXXFLOngzH2ks7Yb9jk6zJJtnxHZsXquDx6pdGWucgKRfZ4zS6pLRLCiYal7BPz9bXxK94aqfafv3BCnChzMUH9msyJ0sMiT9goHanNP4aFmjy4b7KlszDWG19uJmLO667YbAjfzNvJN12NJup49pktmV8dFy4FKn93cGjfXeAycldVZYOG6R3X6dMUq7tmLcgsmztTk9/cNzqf1eqZ7gUoQPZyg+gjnkSielDzoRdOI8f7Gm45+9tWu/NythBXdv3jMdK+hq/Rlm/s3Lh8x06Hi1q0u7cQMCqR6EBpUp8f7OoDHNOdfx89G7332PnArddzgoM0ZB3Vb8pF082Km77ytAWgjmkCtJZm/SnMGL0wu0COI8ZkmCruZZmqCisF4ANBYwI5bGYxyng4JUXxb0xhtUoNd7bIKCwzRmE6c21PfjBQVzpsWt44qstatKL1UK9vpGcbFnDrkSN5BIe/9VNzZ295u4j1m7GYvefiq/5JHZ2pycU9ceY79SF2H7Hac2VAJP5F6QG5bV3MlsorcfMWwm0Uk6eKzal0kQactqOblcskK9vlFsBHPIlbiBRBqlNZp1Y2N3FsISF+I+Zp0EtlMbKpoPWAp7bbbW1cfYK3Vxes+HdPyzt2rvHTeG/q6wvzMsMJXan01sTbQJ069JEGnrxux3acjq/WBVP/a/+b6rFyWejI+WC1P8G4OBZVbkStjG/Gbd2H+V9sbuXovabxj3MYvT5D5M2JJ1Lx/j1r/jvkdOafejp3T+Ym3hb/r8x9YF/p3e/+M8H+NKmnXrNyOd5Lj0U7u1oLHEXSJPYm7eacXyYZ3YdXm/6/1T61L7+UCvEcwhV+IGEm8NaM00yL1To/YbBgVZTtIvfurvFvqDeo+330k/TnAQNyDvttbgtvn54gW6n//YutA2VJ0Gtq2SfthonrVKmhyURTJR0PPjM4e+p31Pv7xQtNlvLM33i5vMEqZfs4GBdtCbFYW04XP/4LuZfny0XMjs0ziC+sp6/UWDEhRaBfUCDeqnueWmig4/O7PoBC51HgB1OqsUtS9NSt5TtFNBYxofLev12vySYzM2UtZ9H7lhIcs4SV/UtPqoxhXUF/edP79Cz//4gu99ko49iXb+zn6aycRgiNublZk5FELrm2xQnbDzjcsH8U05KiO3eQYk7EQZlK0ZNPPnN+MSNeMVJY1ZpTgzM72evdmxee2S2nzlkmnXbTdIqvdtbX5ue8Vyw8aa1uWdCuqLGxTISQp8HvrN7paHTMuGh3ThTZ9uEZLmm75vZyY4q7JIQBwkQCD3/LIwg5ptXTU20tVOA/0szYxcvxN+UBDQOhuYxsb9sCXjuC3B4mysz6T0TOsD1vh+akNFo8uWfv72/u6kWcZp9lH103oc2plJs8bP8eO18JIaCQt33KhTn/ugHty2flFiy4Pb1uu/tlzWTmJN2klVQJqYmUPuBX3iNy0+L3qBSzc7DfSzqP1dcZdZJf+9h0n2MlXPz+rQ8Wrqe8u8wDzO7EnUxvos9vHtffy5JZ0favNu4bkZNpv2wLb1ifYidnPvot8sVjuctOR16fc8fb12ed4taD9nt7qIsPcO/YCZOeRe2IyQ36fxQX5Tbi7P8dTOyUUnuCSZlBfevLRkxsRv5i9ohlTqrFl80OxRySz27ElruZmxkbLGR8uZlp6Jem6GzaYlLZ/TzXI7afTC9bQ+JlnNkHV7JhPoBDNzyL2gGaGgDc6D0s0hqSTBbG3OLZkx8Zv523TdSh08Vg1tjdVO8BA0qxQUQFTPz+rmPdNLZiT7rdxM1HMzajYt6d/Tesy8gKiXvXCjtL4us/ow1i9Z2IAfZuaQe0n3gg1CN4d2JA1mg9p3Nc/83T+1Tp//WHD9rnZPwEGzSmHtl/KwRzLoubnpupW6ec+07tl/QsuHh1KbQezW/tG0Phj5vS6zmiErSuFwFBOlSVAIeS6W2i8OHa8uyaQMk6S0Q6/KYCTZ99frsiNxtT43/WY3g8rDnimSRAAAIABJREFU+N0/7Lm9fvc/+NZj7PSxSXIcwvzm+672LWvjN0NGYIUiiluahGAOwIKgk3urpCfPoBp03TgBHzpe1b0HTmou4r3Nq6/X75IEwkG13Lz9o60JL3fvP+H7O9N4bLygMiz5IWxpfGykrDcuzfs+Z6TLS8NvHSnLTIs6dxDUoSjiBnMsswJY8FpIIFcya3t5qZdLVGH9X5vlZY9kkj1iQZnd0tIl1LCEgTQeG2/JPWjp2yRtuami8dGlmdEj5ZLMFJp1/tTOST2wbb3euDSvcxdrfb+EDnQTCRDAAIlaggsrLzLvXEezNb1MNogqk5KnPZJJEnai9iA2B0Nht03zsdmxea3u2X/Ct3ze4WdndPyzt/o+L+8JmDVsHveglhkCWjEzBwyIOJvdd2xeG1pwOS/CyqTkbeN6koSdOMcoqszJ+Gg51cdmakPFt41c81j8SubESXQY5DJDQDOCOWBAxKnPNbWhou3vu3pJQJenmSzJf1n3gW3r9aJPfb1+l2SJ2i/wazVkVk92CQgSvdZhaQpaag0LPuMEsdR+A+pIgAAGxJqdjwXOkDy4bf2SKvtk++ZTnASQ8pDpLVcM69zFmkpmmnNuIUFCCu4S4v38pM+NdhNgon5XLxNrgCyQzeqDYK6Yuh14FCWwCeuPyQmwWJKWBmnOEg0LjjoJnrr1OirK6xPwQzDng2CueIJOLltuqiypT9XOG3yRPvlHneD7te7aoGs3WIlTGqSZtxQaVgalV/UCAdTFDebIZkWuBe0D2/f0y0tKMkjJ2xQVKVvOG29QbTE2jfcfv4b1zc/lNGelwo6/d107CQfMnAHdRzCHvhd2Mgg6ibTON7cbgBUtW25qQyVwtoZN4/0nKmklKNBrvS6Oq0Jm5rzrkvY1jgpGAaSDbFb0tahyGkkCkHYCsCJmy9GbNj/CPkyEBXp+13nGRsoqlxbnK3vHP6ikS/X8rG7eM61N161M9NyJk0ENoHMEc+hrUSeDsHpirdoJwIoY+NAwPD/CPkyEBXpB15mkE7tu1d7bb/Q9/s3PDe/2zdsVDh6rastNldjPnaLNbAP9imVW9LWok4F3EonTmLydAMzv5xdhz08vuzGgfTs2r/VNwNmxeW3kcnnYdWHH37vOL9lhtjanw8/OxE52SLosC6A9BHPoa3FOBn4npolrrkwtACPwQVaiPkwEBXpR18UR9EEqbnasFB6MAkgPwRz6WrsnAwIwFEXQcznOrHEnH2iCPkiZ6ntZ4/6s5cNDC6/f8dGydt12A69NIGUEc+hrRV3mBNIQZ7m0XV6z+9bMcCfp3gMnF35HEL+6hq/X5tseD4BgFA0GAPi6dudjgddFFc+mwDDQOYoGAwAWJCne6902TFTtRjJZgd4hmAOAgotTvLe5/VdzSZIwYYEZmaxA7xDMAUDBBdVr9Pa+SYuzX+NuvgkLzMhkBXqHYA4ACi5oBm3OOX3qb7+nK8pDiVp/SdGBGclLQO8QzAFAwQUteUr1GbqkgVzJLFbXEEoEAb1BOy/0jUPHq7p5z7TW7HxMN++ZXui/CqAzfm3pOvEb730HQRrQR5iZQ1+Is0EbQLigjFXvNXTvgZOaCyhHVR4y1ebj7ZY7/OxM6O8D0FvMzKEvBG3QjiqPAKDO+0BUPT8rp8sfiLwZ7qkNFf3R1htlAfdfNjyksZFyrN/1o/Ozkb8PQO8QzKEvUJMK6EzcD0RBc28X3pzTa6/XYv2uq8ZG+AAG9BGCOfSFoBIH1KQC4on6QOTNpIWJ0xCoXDLt2LyWD2BAHyGYQ1/w26BNTSogvqgPRH4zaW1xTlMbKnwAA/oIwRz6wtSGij7/sXWqjI3IVO/fGKf0AYC6qA9EQaVJkqrNS2t2PqaLb15SeWjxDjw+gAHZIJsVfYOaVED7wor0Hjpejd2iKw4n6dzFmsol09hIWa/N1shmBTJEMAcABdEa0HnJCHsffy61QK5Zbc7ptdnaQjbr7kdPLRoHgN4wF2fHa0FMTEy4o0ePZj0MABkpel201nqNUn3pM5W9cgmMj5a167YbCvXYAlkws2POuYnI2xHMARgEQYFOkfZm3rxn2ndvXMkssFhwN42NlHXfR/yDuqIH1kAa4gZzJEAAGAiDUBctqCzInHOptvOK6/xszbeQMAWHgXQRzAEYCEGBTvX8bN/0BG63P7F3v6C5t8rYiLbcVFHJgvo/dI9fwDwIgTXQSyRAABgIV42N+C5Bmi6X7ciyJ3C7/Yn9lo+bjZRL2nTdSh08Vs1kqVVaGkhTcBhIFzNzAAaCXx02v3IdWc0QtTtbFVYM2KvX+I2TZ3qeBNGstZAwBYeBdBHMARgIfoWpg+apspghane2Kuh6k/TUzklJ9b1rWfErJEzHFyBdLLMCGBithamDsj+zmCEKWgaOGkvU/bLch1YJyFINK3AMIDmCOQADa8fmtb7lSqJmiLpRVqPdsUTdr9uzjOWSSU6qzV+e54xT8oWOL0B6COYADKx2ZojaTVToxlji3C9o5i4NXnHgJOOOGwhThw6Ij6LBAJBA0NJsZWxkYY9aPzl0vKq7958IvD6ooHCcXq5By6hhY4lTuHkQCjznGYF271A0GABS0lz/LWiWq1/LakxtqGhspOx7XWVsRH+09UbfZITt77s6si5d0mK/cTN2qUPXvyj43J8I5gAMhE4K8jafvIL0c1mND9+42vfyTdet9M3y/fzH1un+qXW+gV6rJEFW3Ixd6tD1LwLt/sSeOQCFduh4VbsfPaVzFy+X54izz81bSoqz36zfy2ocfnYm9PLmZATv775n/wld1egccfjZGf0oJJiNG2QFFm426dqdjy0s+QYt/fZzwDwoCLT7E8EcgMIK644wW5vTfY+c8t37E9VVwWNSV/cMpbU3Ke4J2C+54+Cx6sJetXZLuUQFxl4irBfA+QVy/R4wD4p2S+iguwjmABRWWHcEqV5M1yuoWz0/q7v3n9B9j5ySmSIDufHRso5/9tZUx9sszazZuCfgsCW0qQ2VtsqnxA2M/QyZ5Fx3A2Yk024JHXQXwRxyi4wqRGln6Sdut4RzF2v6zKHv6f6pdYl/RxxRgVUScU/AUTN4ScqnJFmmDjLvpBf3fKjt+yN93Sz4zHt6+wjmkEvdqvWFYulmjTVJ2vf0y5q45squPOfS3JsU9wQcZwYvTrHfTmbj0P+6UfCZ9/TOkM2KXCKjCnH49QCVpLGRssZH/ct1JOHUvXZZaTejn9pQ0VM7J3V6z4f01M5J3xNkWj1To5a34woqqYLi4T29MwRzyCUyqhCHX9mNB7et14ldt2rXbTdElt2Q6kkOYfXWuvWcy6IZfVCZkqQzI1GPSblkGhspy1QP2FYsW3ochiTd95EbEv1e5Bfv6Z1hmRWp6eV+BzKqEFfQkpB3WWvZkmZeV4ewLgrdes5l1Yw+jSW0sOVtv64Rh45Xde/DJzXX1N/VhsILFqNYeE/vDDNzSEWvq4JnMWuB4pnaUNHxz96q33zf1WoNHVqfT36xRblkXZ8pi1oa7UdBr88Ht633/Tt2P3pqUSAnSXPzTrsfPdX1saI/8J7eGYI5pKLX+x3SWg4CJOn+qXV6YNv6wOfT3sef07xPxdwVy4Z5zvmI+/r0unIEzYwGXY7i4T29M+Z8ijMW1cTEhDt69GjWwyikNTsf860Ob5JOU1oAOcfzO31xM179lmWBQWFmx5xzE1G3y2RmzsyuNLMnzOz5xv/HA253V+M2z5vZXU2Xf8vMnjOzE42vn+/d6OEn7cw7oJ8EPY+HzGgw3qa4Ga80cgeiZbXMulPSk865d0l6svH9ImZ2paRdkt4r6T2SdrUEfdudc+sbXz/uxaARLGi/w6brVrbV3BzoJ0ElTuacI9BoU5IsRW/Lhrcsy/sJsFhW2awflfSrjX9/WdK3JP1+y202S3rCOfevkmRmT0j6oKS/7s0QkYRf5t2m61bq4LEqRSCRe97z9d4DJ5f0DW23K8Mg8ct0T1rQ2Xv/4P0EWCqrmbm3OefONP59VtLbfG5TkfRK0/evNi7z/EVjifUPzEKKQKFnWjPvDj87QxFIFMbUhormA/YYUwsrWFCm+6brVi6Z7SyXbElWsadkxvsJEKBrwZyZfdPMvu/z9dHm27l6BkbSLIztzrl1kt7f+LozZBy/Y2ZHzezozMxM4r8D7aMIJIqGvaHJBWW6//V3XtGWmyoL2Yvjo2XJ+Z8MRsqlJTOiHt5PgC4Gc865W5xz7/b5+rqkfzaz1ZLU+L/fnreqpHc0ff/2xmVyznn//6mkr6q+py5oHF90zk045yZWrlyZzh+HWIJOcG+lRQ9yilpYyQUFW3PO6eCxqnZsXqvTez6k0WXDqvnUfymZLZSs8EMgDWS3zPqIJC879S5JX/e5zeOSbjWz8Ubiw62SHjezYTP7OUkys7KkD0v6fg/GjIR2bF6rsk+l1QtvXmLjMnKJWljJhQVbzcukYUHfvQdOqnp+NrKwMzCoskqA2CPpgJl9XNJLkrZKkplNSPqkc+63nXP/amb/RdI/Nu7zucZlK1QP6sqSSpK+Kemh3v8JaBbUysuvVVJtzrFhHLmVRrurQbJj89rQenJeEBeWEOEtsTrVa/s5Xd5D5wWDHBMMskyCOefcTyR9wOfyo5J+u+n7P5f05y23uSDppm6PEfG1Fv9szjI7H1DBnX0uwGAIywSWLs/c7di8VjsePum71NrMC+i8n0VWK0A7L6QgrJUXG8YBTG2o6I+23hi93zBmXYLWcI+sVgw6gjl0LCxrlQ3jAKTo/YZ7H39Otbn220sy249BltWeORRI0F6Xq8ZGfIsJ02cRiLZ7+is6ePohzZfOaWhuXFvWfEK7JgOrMOWC335Db79tkgLCfpjtxyAjmEPH/DY4N8++Nb+Be2/c9+w/QWAHBNg9/RU9/NIDsuFafcP/8Dk9/NID0rRyH9A1a91v2y6TmO3HQGOZFR2LW64hqBI8ZUqAxQ6efkg2tDh5yIZqOnh6aeL+7umv6Je/9Ct691+u0y9/6Ve0e/orvRpmx/z227bDieQHDDZm5pCKOOUawhIleCMGLpsvnfPNBZgvnVv0fd5n8NLa5xZUUBgYFMzMoWdo7wXEMzQ3HuvyJDN4/SiNfW7lkrHEioFHMIeeoUwJUBe1NLplzSfk5he3vXNOunpkcYnN1pm6qMv7TVCXmCRWLBtmZh8Dj2AOPUOZEuDy0qgbPiezy0ujzQHdrsk7de3yjWqusWsmvfjGkUW3izuD16+mNlT0lis62+3z2qx/YXJgkBDMoWfoawkEL41+7cU/lnR51u7FN78pa5m0al1C9Z3Bmy9ry5pPdGfwXRDUJSYuZvYBEiDQY/S1xKALSm5wQxf14a/eoxffOLKQ0BB0f8+uyTulaS2qR3d7zurRhfVkjVIeYr8cIBHMAUCPea3iWy411WfjItZLWpdQd03eqV3KT/DWyq9OZWnINBfRo9UkbXvPO/hwCIhgDgB6rP2WVW6+rNtztIQah1+XmAtvXNL5iL1wTtLBY1VNXHMlAR3a5hWyz3uHIoI5AOihoblxuWH/bNPWPXIe55TLJdS4WrdfrNn5WKz7hdWpLMpJGt3T2oHEK2Qv5a8INQkQANBD9aSFUvQNG5yTrl12i7778f9dyEDOT5KkBr86lXSbQRxhhezzhmAOXbHvwDP6wu9O648/+aS+8LvT2nfgmayHBPSFXZN36o5r7pXmRheVHgniV5Kk6JIkNfgFfkU6SaN7ilTInmAOqdt34BnNTJ/RijnJZFoxJ81MnyGgAxp2Td6p7/3Wd2LXg8tTV4c0xF3iCqpTWaSTNLqnSIXsCeaQuuqRsyq3FFYoy1Q9cjajEQH9xaslN186F2t2TqqXJAnqGFFEUf1Wx0bKgXUqi3SSRvcUqZA9wRxSNzrnf3YKuhwYJK0dIMzq++KigrqF2w6f08MvfUHr/vy9hQ7u/E60zVYsD27jVaSTNLqnSIXsyWZF6i6W6kurfpcDg+7g6Ydkwy0dICw6mFt0+yFJulivWNdoB6ZpFSpBwjuh3r3/hO/1YUumfuVOyGaFn6IUsieYQ+oqG1dpZvrMoqXWmpwqG1dnOCqgPwR1gOiEt6cuz8WD/UxtqGjv48/5doiIWjItykkaiINlVqRu+9brtXJytS6UJCenCyVp5eRqbd96fdZDAzIXN+khqeY2X0XCkikQjZk5dMX2rddLBG/AElvWfEIPv/SAbOjyUqtzktwyOb0ZWDg4SreCxKyxZApEI5gDgB7aNXmnNC197cU/lhu6uJDYIHsz0b65ZkVs89WMJVMgHMusANBjuybvlLnlS2bh4iZCOKeFosN2aVx3XHNPoZIfACTDzBwAZCAsEcI5k5l/VOecdMfVv0fwBmABM3MAkIGgPW5Dc+O64+odgTN0Q3PjBHIAFiGYA4AMbFnzCbn58qLL3HxZW9Z8Qrsm79S1y25ZEtB51wNAM4I5AMjArsk7dcc198gujS/sfbt2+UYdPP2Q3v2X6/Ty7DFdu+yWRdezNw6AH3Ptpk/l0MTEhDt69GjWwwCAJbw2X4tKlsyXCeCAAWZmx5xzE1G3Y2YOAPrAwdMPLQrkpMudHQAgDMEcAPSBoA4ORe3sACA9lCbBgn0HnlH1yFmNzjldLJkqG1fRggvokaG5cbnhpYFbUTs7AEgPM3OQVA/kZqbPaMWcZDKtmJNmps9o34Fnsh4aMBDCslsBIAzBHCRJ1SNnVW4pYVqWqXrkbEYjAgaLX3YryQ8A4mCZFZKk0Tkn+dSjr18OoBd2Td6pXSJ4A5AMwRwkSRdL9aVVv8sB9Nbu6a/o4OmHNF86p6G58YVCwgDgh2VWSJIqG1eppsWzcDU5VTauymhEwGDy6s254XMyk9zwOT380gPaPf2VrIcGoE8RzEGStH3r9Vo5uVoXSpKT04WStHJyNdmsQI9Rbw5AUiyzYsH2rddLBG9ApuZL53x2r1JvDkAwZuYAoI8E1ZWj3hyAIARzANBHqDcHICmCOQDoI9SbA5CUOTc4dcQmJibc0aNHsx4GAABAJDM75pybiLodM3MAAAA5RjAHAACQYwRzAAAAOUYwBwAAkGMEcwAAADlGMAcAAJBjBHMAAAA5Rm/WAtp34BlVj5zV6JzTxZKpsnFVve8qAAAoHGbmCmbfgWc0M31GK+Ykk2nFnDQzfUb7DjyT9dAAAEAXEMwVTPXIWZVliy4ry1Q9cjajEQEAgG4imCuY0Tn/9mxBlwMAgHwjmCuYiyVLdDkAAMg3EiAKprJxlWamzyxaaq3JqbJxdeKfRSIFAAD9j5m5gtm+9XqtnFytCyXJyelCSVo5uTpxEEYiBQAA+cDMXAFt33q91OEMWvXIWa0ISqRgdg4AgL7BzBx8kUgBAEA+MDM3oKL2w10s1ZdWW5FIAQBAf2FmbgDF2Q9X2bhKNS2ehasnUqzq9XABAEAIgrkBFFRY+Mz0mYXv00qkAAAA3cUy6wCq73tbulx6heqzdl7AlkYiBQAA6C6CuRzqtP5b0H44I1sVAIDcIZjLmYX9bjKpab/bHz5/TvajN2IFeJWNq3Ru+ozMZ3aObFUAAPKFYC5nguq/Db/yeiM4a0poaLpPc5AnSf4LrWSrAgCQNwRzORO03611ls1LaBiWFs3i/UsjyWHY52e02/YLAABkh2zWnEkyc3aFtCRrdVjmG8jNy5GtCgBADhHM5Yxf/Tenzve5mUQgBwBADhHM5Yxf/bcL77jCt8Dv6wm2v7FXDgCAfGLPXA751X9bWq6kvvdtZvrMoqXWS42gr3mplb1yAADkF8FcQQQV+N2n1mzWetDWehlLrAAA5JM5Nzh1xSYmJtzRo0ezHgYAAEAkMzvmnJuIuh175gAAAHKMYA4AACDH2DNXYJ32cAUAAP2PmbmCWujhOlfvDrHQ4uvAM1kPDQAApIhgrqCqR84u6f5Qlql65GxGIwIAAN1AMFdQ9R6u8S8HAAD5RDBXUEEdHej0AABAsRDMFZRfD9d6p4dVGY0IAAB0A8FcQfn1cF05SacHAACKhtIkBRbU4gsAABQHM3MAAAA5RjAHAACQYwRzAAAAOZZJMGdmV5rZE2b2fOP/4wG3+3szO29m32i5fI2ZfcfMXjCz/Wa2rDcjBwAA6C9ZzcztlPSkc+5dkp5sfO9nr6Q7fS7/Q0kPOOfeKemcpI93ZZQAAAB9Lqtg7qOSvtz495clTfndyDn3pKSfNl9mZiZpUtLXou4PAABQdFkFc29zzp1p/PuspLcluO/PSjrvnLvU+P5VSZWgG5vZ75jZUTM7OjMz095oAQAA+lTX6syZ2Tcl+bUb+HTzN845Z2ZdaxjqnPuipC9K0sTERC4ak+478IyqR85qdM7pYslU2bhqodhv83VOkklLbgMAAAZH14I559wtQdeZ2T+b2Wrn3BkzWy3pxwl+9E8kjZnZcGN27u2Sqh0Ot2/sO/CMZqbPaIVMkmnFnDQzfUb7JL36/DmteOX1heu8LqvNtyGgAwBgsGS1zPqIpLsa/75L0tfj3tE55yQdlnR7O/fvd9UjZ1VeCNPqyjKdOXxGK155vSmE05LbVI+c7cUQAQBAH8kqmNsj6d+Z2fOSbml8LzObMLM/825kZt+W9LCkD5jZq2a2uXHV70v6z2b2gup76L7U09F30eic/0rwFU6BgVzUfQEAQHFl0pvVOfcTSR/wufyopN9u+v79Aff/oaT3dG2AGbpYqi+ttooK5Lz7AgCAwUIHiD5T2bhKNSWfYavJqbLRL98EAAAUGcFcn9m+9XqtnFwtFyOgc43/LpSklZOrSX4AAGAAZbLMinDbt16vLxw567vcOi/XVI6EAA4AgEFHMNcH/OrKVTau0sz0mUWZrTU5ZuAAAMAiLLNmbKGu3Fw9ycGrGSfVl04vlMRSKgAACMTMXMaqR842igBf5tWM+70/mZQI3gAAQAhm5jIWVBuOmnEAACAOgrmMBdWGo2YcAACIg2XWjAUlOlQ2rm77Z/olVLDXDgCAYmJmLmNeXbm0Eh2CEir2HXgm5ZEDAIB+wMxcH9i+9frUEh3CEipIpgAAoHiYmSsYEioAABgsBHMFQ0IFAACDhWCuYCobV6nW0te1nlCxKqMRAQCAbiKYK5i0EyoAAEB/IwGigNJMqAAAAP2NmTkAAIAcY2YuQxT3BQAAnWJmLiMU9wUAAGkgmMtI9cjZRS28pKbivgAAADERzGWE4r4AACANBHMZobgvAABIA8FcRijuCwAA0kAwlxGK+wIAgDRQmiRDFPcFAACdYmYOAAAgxwjmAAAAcoxgDgAAIMcI5gAAAHKMYA4AACDHCOYAAAByjGAOAAAgxwjmAAAAcoxgDgAAIMcI5gAAAHKMYA4AACDHCOYAAAByjGAOAAAgxwjmAAAAcoxgDgAAIMcI5gAAAHKMYA4AACDHCOYAAAByjGAOAAAgxwjmAAAAcoxgDgAAIMcI5gAAAHKMYA4AACDHCOYAAAByjGAOAAAgxwjmAAAAcoxgDgAAIMcI5gAAAHKMYA4AACDHCOYAAAByzJxzWY+hZ8xsRtJLWY+ji35O0r9kPQikimNaLBzP4uGYFk8/HdNrnHMro240UMFc0ZnZUefcRNbjQHo4psXC8Swejmnx5PGYsswKAACQYwRzAAAAOUYwVyxfzHoASB3HtFg4nsXDMS2e3B1T9swBAADkGDNzAAAAOUYwlzNmdqWZPWFmzzf+Px5wu783s/Nm9o2Wy9eY2XfM7AUz229my3ozcgRJcEzvatzmeTO7q+nyb5nZc2Z2ovH1870bPTxm9sHGcXjBzHb6XL+88Zp7ofEavLbpuk81Ln/OzDb3ctwI1u4xNbNrzWy26TX5p70eO5aKcTx/xcz+ycwumdntLdf5vv/2C4K5/Nkp6Unn3LskPdn43s9eSXf6XP6Hkh5wzr1T0jlJH+/KKJFE5DE1sysl7ZL0XknvkbSrJejb7pxb3/j6cS8GjcvMrCTpTyT9mqTrJf2GmV3fcrOPSzrXeO09oPprUY3b/bqkGyR9UNJ/b/w8ZKiTY9rwg6bX5Cd7MmgEink8X5b0HyV9teW+Ue+/mSOYy5+PSvpy499fljTldyPn3JOSftp8mZmZpElJX4u6P3oqzjHdLOkJ59y/OufOSXpC9RM/+sN7JL3gnPuhc+5NSX+j+nFt1nycvybpA43X5Ecl/Y1z7g3n3GlJLzR+HrLVyTFF/4k8ns65F51z35U033Lfvn//JZjLn7c55840/n1W0tsS3PdnJZ13zl1qfP+qpEqag0Nb4hzTiqRXmr5vPXZ/0VjO+QNOJpmIOj6LbtN4Db6m+msyzn3Re50cU0laY2bHzeyImb2/24NFpE5eZ33/Gh3OegBYysy+KWmVz1Wfbv7GOefMjHTkHOjyMd3unKua2c9IOqj68vr/aG+kAFJwRtLVzrmfmNlNkg6Z2Q3Ouf+X9cBQTARzfcg5d0vQdWb2z2a22jl3xsxWS0qyP+onksbMbLjxKfLtkqodDhcxpHBMq5J+ten7t0v6VuNnVxv//6mZfVX15QSCud6qSnpH0/d+ry3vNq+a2bCkt6r+moxzX/Re28fU1Wt+vSFJzrljZvYDSb8k6WjXR40gnbzOAt9/+wXLrPnziCQvk+YuSV+Pe8fGG8xhSV6WTqL7o2viHNPHJd1qZuONjbe3SnrczIbN7OckyczKkj4s6fs9GDMW+0dJ72pkiy9TPaHhkZbbNB/n2yVNN16Tj0j69UZm5BpJ75L0f3o0bgRr+5ia2UovicXMfkH1Y/rDHo0b/uIczyC+779dGmd7nHN85ehL9f0YT0p6XtI3JV3ZuHxC0p813e7bkmYkzaq+vr+5cfkvqH6ieEHSw5KWZ/03DfpXgmP6W43j9oKk/9S4bIWkY5K+K+mUpP8mqZT13zSIX5L+vaT/K+kHkj7duOxzkj7S+PcVjdfcC43X4C803ffTjfs9J+nXsv4cxRwZAAABlUlEQVRb+OrsmEra0ng9npD0T5Juy/pv4SvW8fy3jfPlBdVnzU813XfJ+28/fdEBAgAAIMdYZgUAAMgxgjkAAIAcI5gDAADIMYI5AACAHCOYAwAAyDGCOQAIYWZzjVZp3zezh81stHH5KjP7GzP7gZkdM7O/M7Nfalz392Z23sy+ke3oAQwCgjkACDfrnFvvnHu3pDclfbLR//Z/SvqWc+4XnXM3SfqULvfV3at6WzUA6DqCOQCI79uS3ilpk6Sac+5PvSuccyedc99u/PtJST/NZogABg3BHADE0Oi9+WuSvifp3ap33gCAzBHMAUC4ETM7oXqT9JclfSnj8QDAIsNZDwAA+tysc2598wVmdkr1xuoAkDlm5gAguWlJy83sd7wLzOyXzez9GY4JwIAimAOAhJxzTtJ/kHRLozTJKUmfl3RWkszs25IelvQBM3vVzDZnN1oARWf19yQAAADkETNzAAAAOUYwBwAAkGMEcwAAADlGMAcAAJBjBHMAAAA5RjAHAACQYwRzAAAAOUYwBwAAkGP/HwZUqs/DWP10AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))\n",
    "plt.scatter(x=pcaDat[\"PC1\"], y=pcaDat[\"PC2\"], label=\"\")\n",
    "for pop in [\"Finnish\", \"Sardinian\", \"Armenian\", \"BedouinB\"]:\n",
    "    d = pcaDat[pcaDat[\"Population\"] == pop]\n",
    "    plt.scatter(x=d[\"PC1\"], y=d[\"PC2\"], label=pop)\n",
    "plt.legend()\n",
    "plt.xlabel(\"PC1\");\n",
    "plt.ylabel(\"PC2\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can improve the plot further by plotting only the population that we had in the population list. So we need to load the population list and while we're at it, also add color- and symbol numbers for plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>colorIndex</th>\n",
       "      <th>symbolIndex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abkhasian</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adygei</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Armenian</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Assyrian</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Balkar</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Basque</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>BedouinA</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BedouinB</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Belarusian</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Canary_Islander</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Chechen</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chuvash</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Croatian</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Cypriot</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Czech</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Druze</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>English</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Estonian</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Finnish</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>French</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Georgian</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>German</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Greek</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Hungarian</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Icelandic</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Iranian</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Irish</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Irish_Ulster</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Jew_Tunisian</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Jew_Turkish</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Jew_Yemenite</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Jordanian</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Kumyk</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Lebanese</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Lebanese_Christian</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Lebanese_Muslim</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lezgin</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Maltese</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Mordovian</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>North_Ossetian</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Norwegian</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Orcadian</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Palestinian</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Polish</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Romanian</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Russian</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Sardinian</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Saudi</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Scottish</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Shetlandic</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Sicilian</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Sorb</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Spanish_North</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Syrian</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Turkish</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Population  colorIndex  symbolIndex\n",
       "1            Abkhasian           0            0\n",
       "2               Adygei           0            1\n",
       "3             Albanian           0            2\n",
       "4             Armenian           0            3\n",
       "5             Assyrian           0            4\n",
       "6               Balkar           0            5\n",
       "7               Basque           0            6\n",
       "8             BedouinA           0            7\n",
       "9             BedouinB           1            0\n",
       "10          Belarusian           1            1\n",
       "11           Bulgarian           1            2\n",
       "12     Canary_Islander           1            3\n",
       "13             Chechen           1            4\n",
       "0              Chuvash           1            5\n",
       "14            Croatian           1            6\n",
       "15             Cypriot           1            7\n",
       "16               Czech           2            0\n",
       "17               Druze           2            1\n",
       "18             English           2            2\n",
       "19            Estonian           2            3\n",
       "20             Finnish           2            4\n",
       "21              French           2            5\n",
       "22            Georgian           2            6\n",
       "23              German           2            7\n",
       "24               Greek           3            0\n",
       "25           Hungarian           3            1\n",
       "26           Icelandic           3            2\n",
       "27             Iranian           3            3\n",
       "28               Irish           3            4\n",
       "29        Irish_Ulster           3            5\n",
       "..                 ...         ...          ...\n",
       "38        Jew_Tunisian           4            6\n",
       "39         Jew_Turkish           4            7\n",
       "40        Jew_Yemenite           5            0\n",
       "41           Jordanian           5            1\n",
       "42               Kumyk           5            2\n",
       "44            Lebanese           5            3\n",
       "43  Lebanese_Christian           5            4\n",
       "45     Lebanese_Muslim           5            5\n",
       "46              Lezgin           5            6\n",
       "47          Lithuanian           5            7\n",
       "48             Maltese           6            0\n",
       "49           Mordovian           6            1\n",
       "50      North_Ossetian           6            2\n",
       "51           Norwegian           6            3\n",
       "52            Orcadian           6            4\n",
       "53         Palestinian           6            5\n",
       "54              Polish           6            6\n",
       "55            Romanian           6            7\n",
       "56             Russian           7            0\n",
       "57           Sardinian           7            1\n",
       "58               Saudi           7            2\n",
       "59            Scottish           7            3\n",
       "60          Shetlandic           7            4\n",
       "61            Sicilian           7            5\n",
       "62                Sorb           7            6\n",
       "64             Spanish           7            7\n",
       "63       Spanish_North           8            0\n",
       "65              Syrian           8            1\n",
       "66             Turkish           8            2\n",
       "67           Ukrainian           8            3\n",
       "\n",
       "[68 rows x 3 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popListDat = pd.read_csv(\"/home/training/share/WestEurasia.poplist.txt\",\n",
    "                         names=[\"Population\"]).sort_values(by=\"Population\")\n",
    "nPops = len(popListDat)\n",
    "nCols = 8\n",
    "nSymbols = int(nPops / nCols)\n",
    "colorIndices = [int(i / nSymbols) for i in range(nPops)]\n",
    "symbolIndices = [i % nSymbols for i in range(nPops)]\n",
    "popListDat = popListDat.assign(colorIndex=colorIndices, symbolIndex=symbolIndices)\n",
    "popListDat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and we end up with only 720 points. Note that I'm here flipping the x axis to make the correlation to Geography more obvious. We can now plot all points with colors and symbols:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f70862abba8>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "symbolVec = [\"8\", \"s\", \"p\", \"P\", \"*\", \"h\", \"H\", \"+\", \"x\", \"X\", \"D\", \"d\"]\n",
    "colorVec = [u'#1f77b4', u'#ff7f0e', u'#2ca02c', u'#d62728', u'#9467bd',\n",
    "            u'#8c564b', u'#e377c2', u'#7f7f7f', u'#bcbd22', u'#17becf']\n",
    "for i, row in popListDat.iterrows():\n",
    "    d = pcaDat[pcaDat.Population == row[\"Population\"]]\n",
    "    plt.scatter(x=-d[\"PC1\"], y=d[\"PC2\"], c=colorVec[row[\"colorIndex\"]],\n",
    "                marker=symbolVec[row[\"symbolIndex\"]], label=row[\"Population\"])\n",
    "plt.xlabel(\"PC1\");\n",
    "plt.ylabel(\"PC2\");\n",
    "plt.legend(loc=(1.1, 0), ncol=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding ancient populations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f704c7136a0>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "symbolVec = [\"8\", \"s\", \"p\", \"P\", \"*\", \"h\", \"H\", \"+\", \"x\", \"X\", \"D\", \"d\", \"v\", \"<\", \">\", \"^\"]\n",
    "colorVec = [u'#1f77b4', u'#ff7f0e', u'#2ca02c', u'#d62728', u'#9467bd',\n",
    "            u'#8c564b', u'#e377c2', u'#7f7f7f', u'#bcbd22', u'#17becf']\n",
    "for i, row in popListDat.iterrows():\n",
    "    d = pcaDat[pcaDat.Population == row[\"Population\"]]\n",
    "    plt.scatter(x=-d[\"PC1\"], y=d[\"PC2\"], c=colorVec[row[\"colorIndex\"]],\n",
    "                marker=symbolVec[row[\"symbolIndex\"]], label=row[\"Population\"])\n",
    "\n",
    "for i, pop in enumerate([\"Levanluhta\", \"Saami.DG\", \"BolshoyOleniOstrov\", \"Yamnaya_Samara\", \"LBK_EN\", \"WHG\"]):\n",
    "    d = pcaDat[pcaDat.Population == pop]\n",
    "    plt.scatter(x=-d[\"PC1\"], y=d[\"PC2\"], c=\"black\", marker=symbolVec[i], label=pop)\n",
    "plt.xlabel(\"PC1\");\n",
    "plt.ylabel(\"PC2\");\n",
    "plt.legend(loc=(1.1, 0), ncol=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## East-Eurasian PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>colorIndex</th>\n",
       "      <th>symbolIndex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abkhasian</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adygei</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aleut</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aleut_Tlingit</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Altaian</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ami</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Armenian</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Assyrian</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Atayal</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Avar</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Azeri</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Balkar</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Basque</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BedouinA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BedouinB</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Belarusian</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Borneo</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Buryat</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Cambodian</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Chechen</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chukchi</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Chukchi1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Chuvash</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Croatian</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Cypriot</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Czech</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Dai</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Daur</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Saami.DG</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Saami_WGA</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Sardinian</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Saudi</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Scottish</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Selkup</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Semende</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>She</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Sherpa.DG</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Sicilian</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Spanish_North</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Syrian</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Tajik</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Thai</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Tibetan.DG</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Tu</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Tubalar</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Tujia</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Turkish</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Turkmen</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Tuvinian</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Ulchi</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Uygur</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Uzbek</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Xibo</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Yakut</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Yi</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Yukagir</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>119 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Population  colorIndex  symbolIndex\n",
       "0        Abkhasian           0            0\n",
       "1           Adygei           0            1\n",
       "2         Albanian           0            2\n",
       "3            Aleut           0            3\n",
       "4    Aleut_Tlingit           0            4\n",
       "5          Altaian           0            5\n",
       "6              Ami           0            6\n",
       "7         Armenian           0            7\n",
       "8         Assyrian           0            8\n",
       "9           Atayal           0            9\n",
       "10            Avar           0           10\n",
       "11           Azeri           0           11\n",
       "12          Balkar           0           12\n",
       "13          Basque           1            0\n",
       "14        BedouinA           1            1\n",
       "15        BedouinB           1            2\n",
       "16      Belarusian           1            3\n",
       "17          Borneo           1            4\n",
       "18       Bulgarian           1            5\n",
       "19          Buryat           1            6\n",
       "20       Cambodian           1            7\n",
       "21         Chechen           1            8\n",
       "22         Chukchi           1            9\n",
       "23        Chukchi1           1           10\n",
       "24         Chuvash           1           11\n",
       "25        Croatian           1           12\n",
       "26         Cypriot           2            0\n",
       "27           Czech           2            1\n",
       "28             Dai           2            2\n",
       "29            Daur           2            3\n",
       "..             ...         ...          ...\n",
       "89        Saami.DG           6           11\n",
       "90       Saami_WGA           6           12\n",
       "91       Sardinian           7            0\n",
       "92           Saudi           7            1\n",
       "93        Scottish           7            2\n",
       "94          Selkup           7            3\n",
       "95         Semende           7            4\n",
       "96             She           7            5\n",
       "97       Sherpa.DG           7            6\n",
       "98        Sicilian           7            7\n",
       "99         Spanish           7            8\n",
       "100  Spanish_North           7            9\n",
       "101         Syrian           7           10\n",
       "102          Tajik           7           11\n",
       "103           Thai           7           12\n",
       "104     Tibetan.DG           8            0\n",
       "105             Tu           8            1\n",
       "106        Tubalar           8            2\n",
       "107          Tujia           8            3\n",
       "108        Turkish           8            4\n",
       "109        Turkmen           8            5\n",
       "110       Tuvinian           8            6\n",
       "111      Ukrainian           8            7\n",
       "112          Ulchi           8            8\n",
       "113          Uygur           8            9\n",
       "114          Uzbek           8           10\n",
       "115           Xibo           8           11\n",
       "116          Yakut           8           12\n",
       "117             Yi           9            0\n",
       "118        Yukagir           9            1\n",
       "\n",
       "[119 rows x 3 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popListDat = pd.read_csv(\"/home/training/share/AllEurasia.poplist.txt\",\n",
    "                         names=[\"Population\"]).sort_values(by=\"Population\")\n",
    "nPops = len(popListDat)\n",
    "nCols = 9\n",
    "nSymbols = int(nPops / nCols)\n",
    "colorIndices = [int(i / nSymbols) for i in range(nPops)]\n",
    "symbolIndices = [i % nSymbols for i in range(nPops)]\n",
    "popListDat = popListDat.assign(colorIndex=colorIndices, symbolIndex=symbolIndices)\n",
    "popListDat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pcaDat = pd.read_csv(\"/home/training/share/pca_results/pca.AllEurasia.evec\",\n",
    "                     delim_whitespace=True, skiprows=1, names=names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7086207a58>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "symbolVec = [\"8\", \"s\", \"p\", \"P\", \"*\", \"h\", \"H\", \"+\", \"x\", \"X\", \"D\", \"d\", \"v\", \"<\", \">\", \"^\"]\n",
    "colorVec = [u'#1f77b4', u'#ff7f0e', u'#2ca02c', u'#d62728', u'#9467bd',\n",
    "            u'#8c564b', u'#e377c2', u'#7f7f7f', u'#bcbd22', u'#17becf']\n",
    "for i, row in popListDat.iterrows():\n",
    "    d = pcaDat[pcaDat.Population == row[\"Population\"]]\n",
    "    plt.scatter(x=-d[\"PC1\"], y=d[\"PC2\"], c=colorVec[row[\"colorIndex\"]],\n",
    "                marker=symbolVec[row[\"symbolIndex\"]], label=row[\"Population\"])\n",
    "\n",
    "for i, pop in enumerate([\"Levanluhta\", \"Saami.DG\", \"BolshoyOleniOstrov\", \"Yamnaya_Samara\", \"LBK_EN\", \"WHG\"]):\n",
    "    d = pcaDat[pcaDat.Population == pop]\n",
    "    plt.scatter(x=-d[\"PC1\"], y=d[\"PC2\"], c=\"black\", marker=symbolVec[i], label=pop)\n",
    "\n",
    "plt.xlabel(\"PC1\");\n",
    "plt.ylabel(\"PC2\");\n",
    "plt.legend(loc=(1.1, 0), ncol=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Outgroup F3 statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dummy</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>F3</th>\n",
       "      <th>stderr</th>\n",
       "      <th>Z</th>\n",
       "      <th>nSNPs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Chuvash</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.233652</td>\n",
       "      <td>0.002072</td>\n",
       "      <td>112.782</td>\n",
       "      <td>502678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Albanian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215629</td>\n",
       "      <td>0.002029</td>\n",
       "      <td>106.291</td>\n",
       "      <td>501734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Armenian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.213724</td>\n",
       "      <td>0.001963</td>\n",
       "      <td>108.882</td>\n",
       "      <td>504370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.216193</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>109.266</td>\n",
       "      <td>504310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Czech</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218060</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>108.939</td>\n",
       "      <td>504089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Druze</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.209551</td>\n",
       "      <td>0.001919</td>\n",
       "      <td>109.205</td>\n",
       "      <td>510853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>English</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.216959</td>\n",
       "      <td>0.001973</td>\n",
       "      <td>109.954</td>\n",
       "      <td>504161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Estonian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.220730</td>\n",
       "      <td>0.002019</td>\n",
       "      <td>109.332</td>\n",
       "      <td>503503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Finnish</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.223447</td>\n",
       "      <td>0.002044</td>\n",
       "      <td>109.345</td>\n",
       "      <td>502217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>French</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.216623</td>\n",
       "      <td>0.001969</td>\n",
       "      <td>110.012</td>\n",
       "      <td>509613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Georgian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.214295</td>\n",
       "      <td>0.001935</td>\n",
       "      <td>110.721</td>\n",
       "      <td>503598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Greek</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215203</td>\n",
       "      <td>0.001984</td>\n",
       "      <td>108.465</td>\n",
       "      <td>507475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Hungarian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.217894</td>\n",
       "      <td>0.001999</td>\n",
       "      <td>109.004</td>\n",
       "      <td>507409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Icelandic</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218683</td>\n",
       "      <td>0.002015</td>\n",
       "      <td>108.553</td>\n",
       "      <td>504655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Italian_North</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215332</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>108.854</td>\n",
       "      <td>507589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Italian_South</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.211787</td>\n",
       "      <td>0.002271</td>\n",
       "      <td>93.265</td>\n",
       "      <td>492400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.219615</td>\n",
       "      <td>0.002032</td>\n",
       "      <td>108.098</td>\n",
       "      <td>503681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Maltese</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.210359</td>\n",
       "      <td>0.001956</td>\n",
       "      <td>107.542</td>\n",
       "      <td>503985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Mordovian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.223469</td>\n",
       "      <td>0.002008</td>\n",
       "      <td>111.296</td>\n",
       "      <td>503441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Norwegian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218873</td>\n",
       "      <td>0.002023</td>\n",
       "      <td>108.197</td>\n",
       "      <td>504621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Orcadian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.217773</td>\n",
       "      <td>0.002014</td>\n",
       "      <td>108.115</td>\n",
       "      <td>504993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Russian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.223993</td>\n",
       "      <td>0.001995</td>\n",
       "      <td>112.274</td>\n",
       "      <td>506525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Sardinian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.213230</td>\n",
       "      <td>0.001980</td>\n",
       "      <td>107.711</td>\n",
       "      <td>508413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Scottish</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218489</td>\n",
       "      <td>0.002039</td>\n",
       "      <td>107.145</td>\n",
       "      <td>499784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Sicilian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.212272</td>\n",
       "      <td>0.001975</td>\n",
       "      <td>107.486</td>\n",
       "      <td>505477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Spanish_North</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215885</td>\n",
       "      <td>0.002029</td>\n",
       "      <td>106.383</td>\n",
       "      <td>500853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Spanish</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.213869</td>\n",
       "      <td>0.001975</td>\n",
       "      <td>108.297</td>\n",
       "      <td>513648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218716</td>\n",
       "      <td>0.002007</td>\n",
       "      <td>108.950</td>\n",
       "      <td>503981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Levanluhta</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236252</td>\n",
       "      <td>0.002383</td>\n",
       "      <td>99.123</td>\n",
       "      <td>263049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.247814</td>\n",
       "      <td>0.002177</td>\n",
       "      <td>113.849</td>\n",
       "      <td>457102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>ChalmnyVarre</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.233499</td>\n",
       "      <td>0.002304</td>\n",
       "      <td>101.345</td>\n",
       "      <td>366220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Saami.DG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236198</td>\n",
       "      <td>0.002274</td>\n",
       "      <td>103.852</td>\n",
       "      <td>489038</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      dummy    A                   B      C        F3    stderr        Z  \\\n",
       "0   result:  Han             Chuvash  Mbuti  0.233652  0.002072  112.782   \n",
       "1   result:  Han            Albanian  Mbuti  0.215629  0.002029  106.291   \n",
       "2   result:  Han            Armenian  Mbuti  0.213724  0.001963  108.882   \n",
       "3   result:  Han           Bulgarian  Mbuti  0.216193  0.001979  109.266   \n",
       "4   result:  Han               Czech  Mbuti  0.218060  0.002002  108.939   \n",
       "5   result:  Han               Druze  Mbuti  0.209551  0.001919  109.205   \n",
       "6   result:  Han             English  Mbuti  0.216959  0.001973  109.954   \n",
       "7   result:  Han            Estonian  Mbuti  0.220730  0.002019  109.332   \n",
       "8   result:  Han             Finnish  Mbuti  0.223447  0.002044  109.345   \n",
       "9   result:  Han              French  Mbuti  0.216623  0.001969  110.012   \n",
       "10  result:  Han            Georgian  Mbuti  0.214295  0.001935  110.721   \n",
       "11  result:  Han               Greek  Mbuti  0.215203  0.001984  108.465   \n",
       "12  result:  Han           Hungarian  Mbuti  0.217894  0.001999  109.004   \n",
       "13  result:  Han           Icelandic  Mbuti  0.218683  0.002015  108.553   \n",
       "14  result:  Han       Italian_North  Mbuti  0.215332  0.001978  108.854   \n",
       "15  result:  Han       Italian_South  Mbuti  0.211787  0.002271   93.265   \n",
       "16  result:  Han          Lithuanian  Mbuti  0.219615  0.002032  108.098   \n",
       "17  result:  Han             Maltese  Mbuti  0.210359  0.001956  107.542   \n",
       "18  result:  Han           Mordovian  Mbuti  0.223469  0.002008  111.296   \n",
       "19  result:  Han           Norwegian  Mbuti  0.218873  0.002023  108.197   \n",
       "20  result:  Han            Orcadian  Mbuti  0.217773  0.002014  108.115   \n",
       "21  result:  Han             Russian  Mbuti  0.223993  0.001995  112.274   \n",
       "22  result:  Han           Sardinian  Mbuti  0.213230  0.001980  107.711   \n",
       "23  result:  Han            Scottish  Mbuti  0.218489  0.002039  107.145   \n",
       "24  result:  Han            Sicilian  Mbuti  0.212272  0.001975  107.486   \n",
       "25  result:  Han       Spanish_North  Mbuti  0.215885  0.002029  106.383   \n",
       "26  result:  Han             Spanish  Mbuti  0.213869  0.001975  108.297   \n",
       "27  result:  Han           Ukrainian  Mbuti  0.218716  0.002007  108.950   \n",
       "28  result:  Han          Levanluhta  Mbuti  0.236252  0.002383   99.123   \n",
       "29  result:  Han  BolshoyOleniOstrov  Mbuti  0.247814  0.002177  113.849   \n",
       "30  result:  Han        ChalmnyVarre  Mbuti  0.233499  0.002304  101.345   \n",
       "31  result:  Han            Saami.DG  Mbuti  0.236198  0.002274  103.852   \n",
       "\n",
       "     nSNPs  \n",
       "0   502678  \n",
       "1   501734  \n",
       "2   504370  \n",
       "3   504310  \n",
       "4   504089  \n",
       "5   510853  \n",
       "6   504161  \n",
       "7   503503  \n",
       "8   502217  \n",
       "9   509613  \n",
       "10  503598  \n",
       "11  507475  \n",
       "12  507409  \n",
       "13  504655  \n",
       "14  507589  \n",
       "15  492400  \n",
       "16  503681  \n",
       "17  503985  \n",
       "18  503441  \n",
       "19  504621  \n",
       "20  504993  \n",
       "21  506525  \n",
       "22  508413  \n",
       "23  499784  \n",
       "24  505477  \n",
       "25  500853  \n",
       "26  513648  \n",
       "27  503981  \n",
       "28  263049  \n",
       "29  457102  \n",
       "30  366220  \n",
       "31  489038  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f3dat_han = pd.read_csv(\"/home/training/work/share/solutions/outgroupF3_results_Han.txt\",\n",
    "                        delim_whitespace=True,\n",
    "                        names=[\"dummy\", \"A\", \"B\", \"C\", \"F3\", \"stderr\", \"Z\", \"nSNPs\"])\n",
    "f3dat_han"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d=f3dat_han.sort_values(by=\"F3\")\n",
    "y = range(len(d))\n",
    "plt.figure(figsize=(6, 8))\n",
    "plt.errorbar(d[\"F3\"], y, xerr=d[\"stderr\"], fmt='o')\n",
    "plt.yticks(y, d[\"B\"]);\n",
    "plt.xlabel(\"F3(Han, Test; Mbuti)\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# F3 bi-plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We're loading the two outgroupF3 datasets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dummy_Han</th>\n",
       "      <th>A_Han</th>\n",
       "      <th>B</th>\n",
       "      <th>C_Han</th>\n",
       "      <th>F3_Han</th>\n",
       "      <th>stderr_Han</th>\n",
       "      <th>Z_Han</th>\n",
       "      <th>nSNPs_Han</th>\n",
       "      <th>dummy_MA1</th>\n",
       "      <th>A_MA1</th>\n",
       "      <th>C_MA1</th>\n",
       "      <th>F3_MA1</th>\n",
       "      <th>stderr_MA1</th>\n",
       "      <th>Z_MA1</th>\n",
       "      <th>nSNPs_MA1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Chuvash</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.233652</td>\n",
       "      <td>0.002072</td>\n",
       "      <td>112.782</td>\n",
       "      <td>502678</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.243818</td>\n",
       "      <td>0.002349</td>\n",
       "      <td>103.781</td>\n",
       "      <td>350484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Albanian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215629</td>\n",
       "      <td>0.002029</td>\n",
       "      <td>106.291</td>\n",
       "      <td>501734</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236494</td>\n",
       "      <td>0.002296</td>\n",
       "      <td>103.008</td>\n",
       "      <td>344332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Armenian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.213724</td>\n",
       "      <td>0.001963</td>\n",
       "      <td>108.882</td>\n",
       "      <td>504370</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.231399</td>\n",
       "      <td>0.002264</td>\n",
       "      <td>102.229</td>\n",
       "      <td>349612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.216193</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>109.266</td>\n",
       "      <td>504310</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.237498</td>\n",
       "      <td>0.002281</td>\n",
       "      <td>104.103</td>\n",
       "      <td>349800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Czech</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218060</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>108.939</td>\n",
       "      <td>504089</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.243224</td>\n",
       "      <td>0.002328</td>\n",
       "      <td>104.457</td>\n",
       "      <td>349553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Druze</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.209551</td>\n",
       "      <td>0.001919</td>\n",
       "      <td>109.205</td>\n",
       "      <td>510853</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.226740</td>\n",
       "      <td>0.002197</td>\n",
       "      <td>103.193</td>\n",
       "      <td>359004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>English</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.216959</td>\n",
       "      <td>0.001973</td>\n",
       "      <td>109.954</td>\n",
       "      <td>504161</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.243135</td>\n",
       "      <td>0.002317</td>\n",
       "      <td>104.941</td>\n",
       "      <td>349321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Estonian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.220730</td>\n",
       "      <td>0.002019</td>\n",
       "      <td>109.332</td>\n",
       "      <td>503503</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.247065</td>\n",
       "      <td>0.002362</td>\n",
       "      <td>104.619</td>\n",
       "      <td>348861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Finnish</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.223447</td>\n",
       "      <td>0.002044</td>\n",
       "      <td>109.345</td>\n",
       "      <td>502217</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.245684</td>\n",
       "      <td>0.002379</td>\n",
       "      <td>103.266</td>\n",
       "      <td>347208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>French</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.216623</td>\n",
       "      <td>0.001969</td>\n",
       "      <td>110.012</td>\n",
       "      <td>509613</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.240235</td>\n",
       "      <td>0.002269</td>\n",
       "      <td>105.886</td>\n",
       "      <td>357842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Georgian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.214295</td>\n",
       "      <td>0.001935</td>\n",
       "      <td>110.721</td>\n",
       "      <td>503598</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.232645</td>\n",
       "      <td>0.002253</td>\n",
       "      <td>103.243</td>\n",
       "      <td>349082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Greek</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215203</td>\n",
       "      <td>0.001984</td>\n",
       "      <td>108.465</td>\n",
       "      <td>507475</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236566</td>\n",
       "      <td>0.002280</td>\n",
       "      <td>103.757</td>\n",
       "      <td>355261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Hungarian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.217894</td>\n",
       "      <td>0.001999</td>\n",
       "      <td>109.004</td>\n",
       "      <td>507409</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.241720</td>\n",
       "      <td>0.002313</td>\n",
       "      <td>104.483</td>\n",
       "      <td>355340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Icelandic</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218683</td>\n",
       "      <td>0.002015</td>\n",
       "      <td>108.553</td>\n",
       "      <td>504655</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.244488</td>\n",
       "      <td>0.002386</td>\n",
       "      <td>102.481</td>\n",
       "      <td>350287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Italian_North</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215332</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>108.854</td>\n",
       "      <td>507589</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236407</td>\n",
       "      <td>0.002273</td>\n",
       "      <td>104.002</td>\n",
       "      <td>354999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Italian_South</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.211787</td>\n",
       "      <td>0.002271</td>\n",
       "      <td>93.265</td>\n",
       "      <td>492400</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.230839</td>\n",
       "      <td>0.002767</td>\n",
       "      <td>83.427</td>\n",
       "      <td>321217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.219615</td>\n",
       "      <td>0.002032</td>\n",
       "      <td>108.098</td>\n",
       "      <td>503681</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.246864</td>\n",
       "      <td>0.002403</td>\n",
       "      <td>102.718</td>\n",
       "      <td>348656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Maltese</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.210359</td>\n",
       "      <td>0.001956</td>\n",
       "      <td>107.542</td>\n",
       "      <td>503985</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.230200</td>\n",
       "      <td>0.002259</td>\n",
       "      <td>101.903</td>\n",
       "      <td>347725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Mordovian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.223469</td>\n",
       "      <td>0.002008</td>\n",
       "      <td>111.296</td>\n",
       "      <td>503441</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.245284</td>\n",
       "      <td>0.002346</td>\n",
       "      <td>104.571</td>\n",
       "      <td>350058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Norwegian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218873</td>\n",
       "      <td>0.002023</td>\n",
       "      <td>108.197</td>\n",
       "      <td>504621</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.243930</td>\n",
       "      <td>0.002301</td>\n",
       "      <td>106.031</td>\n",
       "      <td>350182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Orcadian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.217773</td>\n",
       "      <td>0.002014</td>\n",
       "      <td>108.115</td>\n",
       "      <td>504993</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.243614</td>\n",
       "      <td>0.002320</td>\n",
       "      <td>105.008</td>\n",
       "      <td>351053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Russian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.223993</td>\n",
       "      <td>0.001995</td>\n",
       "      <td>112.274</td>\n",
       "      <td>506525</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.245212</td>\n",
       "      <td>0.002298</td>\n",
       "      <td>106.698</td>\n",
       "      <td>355953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Sardinian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.213230</td>\n",
       "      <td>0.001980</td>\n",
       "      <td>107.711</td>\n",
       "      <td>508413</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.231967</td>\n",
       "      <td>0.002264</td>\n",
       "      <td>102.449</td>\n",
       "      <td>355548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Scottish</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218489</td>\n",
       "      <td>0.002039</td>\n",
       "      <td>107.145</td>\n",
       "      <td>499784</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.244598</td>\n",
       "      <td>0.002434</td>\n",
       "      <td>100.512</td>\n",
       "      <td>339441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Sicilian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.212272</td>\n",
       "      <td>0.001975</td>\n",
       "      <td>107.486</td>\n",
       "      <td>505477</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.231141</td>\n",
       "      <td>0.002260</td>\n",
       "      <td>102.297</td>\n",
       "      <td>351028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Spanish_North</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.215885</td>\n",
       "      <td>0.002029</td>\n",
       "      <td>106.383</td>\n",
       "      <td>500853</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.238479</td>\n",
       "      <td>0.002426</td>\n",
       "      <td>98.319</td>\n",
       "      <td>341661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Spanish</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.213869</td>\n",
       "      <td>0.001975</td>\n",
       "      <td>108.297</td>\n",
       "      <td>513648</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.235386</td>\n",
       "      <td>0.002257</td>\n",
       "      <td>104.293</td>\n",
       "      <td>361951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.218716</td>\n",
       "      <td>0.002007</td>\n",
       "      <td>108.950</td>\n",
       "      <td>503981</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.243551</td>\n",
       "      <td>0.002345</td>\n",
       "      <td>103.881</td>\n",
       "      <td>348948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Levanluhta</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236252</td>\n",
       "      <td>0.002383</td>\n",
       "      <td>99.123</td>\n",
       "      <td>263049</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.247704</td>\n",
       "      <td>0.003055</td>\n",
       "      <td>81.090</td>\n",
       "      <td>172055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>BolshoyOleniOstrov</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.247814</td>\n",
       "      <td>0.002177</td>\n",
       "      <td>113.849</td>\n",
       "      <td>457102</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.256041</td>\n",
       "      <td>0.002624</td>\n",
       "      <td>97.561</td>\n",
       "      <td>305851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>ChalmnyVarre</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.233499</td>\n",
       "      <td>0.002304</td>\n",
       "      <td>101.345</td>\n",
       "      <td>366220</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.249619</td>\n",
       "      <td>0.002862</td>\n",
       "      <td>87.212</td>\n",
       "      <td>239594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>result:</td>\n",
       "      <td>Han</td>\n",
       "      <td>Saami.DG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.236198</td>\n",
       "      <td>0.002274</td>\n",
       "      <td>103.852</td>\n",
       "      <td>489038</td>\n",
       "      <td>result:</td>\n",
       "      <td>MA1_HG.SG</td>\n",
       "      <td>Mbuti</td>\n",
       "      <td>0.251530</td>\n",
       "      <td>0.002622</td>\n",
       "      <td>95.922</td>\n",
       "      <td>326072</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dummy_Han A_Han                   B  C_Han    F3_Han  stderr_Han    Z_Han  \\\n",
       "0    result:   Han             Chuvash  Mbuti  0.233652    0.002072  112.782   \n",
       "1    result:   Han            Albanian  Mbuti  0.215629    0.002029  106.291   \n",
       "2    result:   Han            Armenian  Mbuti  0.213724    0.001963  108.882   \n",
       "3    result:   Han           Bulgarian  Mbuti  0.216193    0.001979  109.266   \n",
       "4    result:   Han               Czech  Mbuti  0.218060    0.002002  108.939   \n",
       "5    result:   Han               Druze  Mbuti  0.209551    0.001919  109.205   \n",
       "6    result:   Han             English  Mbuti  0.216959    0.001973  109.954   \n",
       "7    result:   Han            Estonian  Mbuti  0.220730    0.002019  109.332   \n",
       "8    result:   Han             Finnish  Mbuti  0.223447    0.002044  109.345   \n",
       "9    result:   Han              French  Mbuti  0.216623    0.001969  110.012   \n",
       "10   result:   Han            Georgian  Mbuti  0.214295    0.001935  110.721   \n",
       "11   result:   Han               Greek  Mbuti  0.215203    0.001984  108.465   \n",
       "12   result:   Han           Hungarian  Mbuti  0.217894    0.001999  109.004   \n",
       "13   result:   Han           Icelandic  Mbuti  0.218683    0.002015  108.553   \n",
       "14   result:   Han       Italian_North  Mbuti  0.215332    0.001978  108.854   \n",
       "15   result:   Han       Italian_South  Mbuti  0.211787    0.002271   93.265   \n",
       "16   result:   Han          Lithuanian  Mbuti  0.219615    0.002032  108.098   \n",
       "17   result:   Han             Maltese  Mbuti  0.210359    0.001956  107.542   \n",
       "18   result:   Han           Mordovian  Mbuti  0.223469    0.002008  111.296   \n",
       "19   result:   Han           Norwegian  Mbuti  0.218873    0.002023  108.197   \n",
       "20   result:   Han            Orcadian  Mbuti  0.217773    0.002014  108.115   \n",
       "21   result:   Han             Russian  Mbuti  0.223993    0.001995  112.274   \n",
       "22   result:   Han           Sardinian  Mbuti  0.213230    0.001980  107.711   \n",
       "23   result:   Han            Scottish  Mbuti  0.218489    0.002039  107.145   \n",
       "24   result:   Han            Sicilian  Mbuti  0.212272    0.001975  107.486   \n",
       "25   result:   Han       Spanish_North  Mbuti  0.215885    0.002029  106.383   \n",
       "26   result:   Han             Spanish  Mbuti  0.213869    0.001975  108.297   \n",
       "27   result:   Han           Ukrainian  Mbuti  0.218716    0.002007  108.950   \n",
       "28   result:   Han          Levanluhta  Mbuti  0.236252    0.002383   99.123   \n",
       "29   result:   Han  BolshoyOleniOstrov  Mbuti  0.247814    0.002177  113.849   \n",
       "30   result:   Han        ChalmnyVarre  Mbuti  0.233499    0.002304  101.345   \n",
       "31   result:   Han            Saami.DG  Mbuti  0.236198    0.002274  103.852   \n",
       "\n",
       "    nSNPs_Han dummy_MA1      A_MA1  C_MA1    F3_MA1  stderr_MA1    Z_MA1  \\\n",
       "0      502678   result:  MA1_HG.SG  Mbuti  0.243818    0.002349  103.781   \n",
       "1      501734   result:  MA1_HG.SG  Mbuti  0.236494    0.002296  103.008   \n",
       "2      504370   result:  MA1_HG.SG  Mbuti  0.231399    0.002264  102.229   \n",
       "3      504310   result:  MA1_HG.SG  Mbuti  0.237498    0.002281  104.103   \n",
       "4      504089   result:  MA1_HG.SG  Mbuti  0.243224    0.002328  104.457   \n",
       "5      510853   result:  MA1_HG.SG  Mbuti  0.226740    0.002197  103.193   \n",
       "6      504161   result:  MA1_HG.SG  Mbuti  0.243135    0.002317  104.941   \n",
       "7      503503   result:  MA1_HG.SG  Mbuti  0.247065    0.002362  104.619   \n",
       "8      502217   result:  MA1_HG.SG  Mbuti  0.245684    0.002379  103.266   \n",
       "9      509613   result:  MA1_HG.SG  Mbuti  0.240235    0.002269  105.886   \n",
       "10     503598   result:  MA1_HG.SG  Mbuti  0.232645    0.002253  103.243   \n",
       "11     507475   result:  MA1_HG.SG  Mbuti  0.236566    0.002280  103.757   \n",
       "12     507409   result:  MA1_HG.SG  Mbuti  0.241720    0.002313  104.483   \n",
       "13     504655   result:  MA1_HG.SG  Mbuti  0.244488    0.002386  102.481   \n",
       "14     507589   result:  MA1_HG.SG  Mbuti  0.236407    0.002273  104.002   \n",
       "15     492400   result:  MA1_HG.SG  Mbuti  0.230839    0.002767   83.427   \n",
       "16     503681   result:  MA1_HG.SG  Mbuti  0.246864    0.002403  102.718   \n",
       "17     503985   result:  MA1_HG.SG  Mbuti  0.230200    0.002259  101.903   \n",
       "18     503441   result:  MA1_HG.SG  Mbuti  0.245284    0.002346  104.571   \n",
       "19     504621   result:  MA1_HG.SG  Mbuti  0.243930    0.002301  106.031   \n",
       "20     504993   result:  MA1_HG.SG  Mbuti  0.243614    0.002320  105.008   \n",
       "21     506525   result:  MA1_HG.SG  Mbuti  0.245212    0.002298  106.698   \n",
       "22     508413   result:  MA1_HG.SG  Mbuti  0.231967    0.002264  102.449   \n",
       "23     499784   result:  MA1_HG.SG  Mbuti  0.244598    0.002434  100.512   \n",
       "24     505477   result:  MA1_HG.SG  Mbuti  0.231141    0.002260  102.297   \n",
       "25     500853   result:  MA1_HG.SG  Mbuti  0.238479    0.002426   98.319   \n",
       "26     513648   result:  MA1_HG.SG  Mbuti  0.235386    0.002257  104.293   \n",
       "27     503981   result:  MA1_HG.SG  Mbuti  0.243551    0.002345  103.881   \n",
       "28     263049   result:  MA1_HG.SG  Mbuti  0.247704    0.003055   81.090   \n",
       "29     457102   result:  MA1_HG.SG  Mbuti  0.256041    0.002624   97.561   \n",
       "30     366220   result:  MA1_HG.SG  Mbuti  0.249619    0.002862   87.212   \n",
       "31     489038   result:  MA1_HG.SG  Mbuti  0.251530    0.002622   95.922   \n",
       "\n",
       "    nSNPs_MA1  \n",
       "0      350484  \n",
       "1      344332  \n",
       "2      349612  \n",
       "3      349800  \n",
       "4      349553  \n",
       "5      359004  \n",
       "6      349321  \n",
       "7      348861  \n",
       "8      347208  \n",
       "9      357842  \n",
       "10     349082  \n",
       "11     355261  \n",
       "12     355340  \n",
       "13     350287  \n",
       "14     354999  \n",
       "15     321217  \n",
       "16     348656  \n",
       "17     347725  \n",
       "18     350058  \n",
       "19     350182  \n",
       "20     351053  \n",
       "21     355953  \n",
       "22     355548  \n",
       "23     339441  \n",
       "24     351028  \n",
       "25     341661  \n",
       "26     361951  \n",
       "27     348948  \n",
       "28     172055  \n",
       "29     305851  \n",
       "30     239594  \n",
       "31     326072  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outgroupf3dat_Han = pd.read_csv(\"/home/training/work/share/solutions/outgroupF3_results_Han.txt\",\n",
    "                        delim_whitespace=True,\n",
    "                        names=[\"dummy\", \"A\", \"B\", \"C\", \"F3\", \"stderr\", \"Z\", \"nSNPs\"])\n",
    "outgroupf3dat_MA1 = pd.read_csv(\"/home/training/work/share/solutions/outgroupF3_results_MA1.txt\",\n",
    "                        delim_whitespace=True,\n",
    "                        names=[\"dummy\", \"A\", \"B\", \"C\", \"F3\", \"stderr\", \"Z\", \"nSNPs\"])\n",
    "\n",
    "outgroupf3dat_merged = outgroupf3dat_Han.merge(outgroupf3dat_MA1, on=\"B\", suffixes=(\"_Han\", \"_MA1\"))\n",
    "outgroupf3dat_merged"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can now plot the two F3 statistics against each other:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))\n",
    "plt.scatter(x=outgroupf3dat_merged[\"F3_Han\"], y=outgroupf3dat_merged[\"F3_MA1\"])\n",
    "plt.xlabel(\"F3(Test, Han; Mbuti)\");\n",
    "plt.ylabel(\"F3(Test, MA1; Mbuti)\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This isn't very useful yet, as we need to again label the points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))\n",
    "plt.scatter(x=outgroupf3dat_merged[\"F3_Han\"], y=outgroupf3dat_merged[\"F3_MA1\"])\n",
    "for i, row in outgroupf3dat_merged.iterrows():\n",
    "    plt.annotate(row[\"B\"], (row[\"F3_Han\"], row[\"F3_MA1\"]))\n",
    "plt.xlabel(\"F3(Test, Han; Mbuti)\");\n",
    "plt.ylabel(\"F3(Test, MA1; Mbuti)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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