Extract_SV_regions_PCA_Part1to4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***STEPS FOR QUERYING STRUCTURAL VARIANT VCF FILE, GETTING THE INTERSECT WITH GOOD PLOTS, AND PLOTTING THE PCA***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query the Smoove .vcf file for all SV calls with alternate genotypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%%bash\n",
    "#VCF=sparrow_all.smoove.square.vcf.gz\n",
    "\n",
    "#bcftools query -f '%CHROM\\t%POS\\t%END\\t%ALT[\\t%GT]\\n' ${VCF} | sort -k1,1 -k2,2n | grep CM | grep -v '\\[' | grep -v '\\]' | sed 's/<DEL>/DEL/g' | sed 's/<DUP>/DUP/g' | sed 's/<INV>/INV/g' > SV_altgenos.bed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***PART 1. INTERSECT AND PLOT SVs SCORED AS \"YES\" BY ALL CURATORS***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "STEP 1 - filter out only the Good calls in the report:\n",
    "\n",
    "Filter for number of SVs in report by desired person, reorganize columns for order chrom, start pos,stop pos, SV type:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Filter for Yes's for each of the four curators***\n",
    "\n",
    "First set the file names and curator names as variables\n",
    "\n",
    "Then extract all Yes's from the raw report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "RAWDEL=raw_report_del_dec26_2020.tsv\n",
    "#Enter the curators emails below. In the above file they have been replaced with the following:\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "#set the SV class\n",
    "SV=DEL\n",
    "\n",
    "#Extract all Yes's\n",
    "cat ${RAWDEL} | grep \"${CUR1}\" | grep \"Yes\"| sed '1,3d' > yes_${SV}_${CUR1}.tsv\n",
    "cat ${RAWDEL} | grep \"${CUR2}\" | grep \"Yes\"| sed '1,3d' > yes_${SV}_${CUR2}.tsv\n",
    "cat ${RAWDEL} | grep \"${CUR3}\" | grep \"Yes\"| sed '1,3d' > yes_${SV}_${CUR3}.tsv\n",
    "cat ${RAWDEL} | grep \"${CUR4}\" | grep \"Yes\"| sed '1,3d' > yes_${SV}_${CUR4}.tsv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Process the .bed file to extract genotype information for each SV call"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "#set the SV class\n",
    "SV=DEL\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "\n",
    "cat yes_${SV}_${CUR1}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yes_${SV}_${CUR1}_processed.bed \n",
    "cat yes_${SV}_${CUR2}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yes_${SV}_${CUR2}_processed.bed \n",
    "cat yes_${SV}_${CUR3}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yes_${SV}_${CUR3}_processed.bed \n",
    "cat yes_${SV}_${CUR4}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yes_${SV}_${CUR4}_processed.bed "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First take intersect off all four curators' validated SVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash \n",
    "#set the SV class\n",
    "SV=DEL\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "\n",
    "bedops --intersect yes_${SV}_${CUR1}_processed.bed yes_${SV}_${CUR2}_processed.bed yes_${SV}_${CUR3}_processed.bed yes_${SV}_${CUR4}_processed.bed  > yesallintersect.bed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now intersect with .bed file extracted from original Smoove .vcf file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "#%%bash \n",
    "#set the SV class\n",
    "#SV=DEL\n",
    "#CUR1=curator1\n",
    "#CUR2=curator2\n",
    "#CUR3=curator3\n",
    "#CUR4=curator4\n",
    "\n",
    "#bedtools intersect -f 0.9 -r -a SV_altgenos.bed -b yesallintersect.bed  > yesallintersect.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Change format of intersected bedfile, repeat this to join 3 first columns with tabs***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat yesallintersect.txt | sed 's/0\\/0/0/g' | sed 's/0\\/1/1/g' | sed 's/1\\/1/2/g'| sed 's/.\\/\\./0/g' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' > yesallintersect_edit.txt "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Convert to .csv for export to Python, to tranpose matrix***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat yesallintersect_edit.txt | sed 's/\\t/,/'g > yesallintersect_edit.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"yesallintersect_edit.csv\", header = None, index_col = None)\n",
    "\n",
    "df_T = df.transpose()\n",
    "\n",
    "df_T.to_csv(\"yesallintersect_T.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove first line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "sed -i -e 1,1d yesallintersect_T.csv "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Now plot in Python!***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33 rows × 1243 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    CM004525.1_450632_450686_DEL  CM004525.1_2793450_2793535_DEL  \\\n",
       "0                              0                               2   \n",
       "1                              0                               1   \n",
       "2                              0                               0   \n",
       "3                              1                               0   \n",
       "4                              0                               1   \n",
       "5                              2                               0   \n",
       "6                              0                               0   \n",
       "7                              1                               0   \n",
       "8                              0                               1   \n",
       "9                              2                               2   \n",
       "10                             2                               1   \n",
       "11                             0                               0   \n",
       "12                             2                               0   \n",
       "13                             1                               2   \n",
       "14                             0                               0   \n",
       "15                             1                               0   \n",
       "16                             1                               0   \n",
       "17                             0                               2   \n",
       "18                             0                               1   \n",
       "19                             1                               1   \n",
       "20                             1                               0   \n",
       "21                             0                               0   \n",
       "22                             0                               2   \n",
       "23                             1                               1   \n",
       "24                             0                               2   \n",
       "25                             1                               2   \n",
       "26                             0                               0   \n",
       "27                             0                               2   \n",
       "28                             0                               0   \n",
       "29                             0                               0   \n",
       "30                             0                               0   \n",
       "31                             1                               1   \n",
       "32                             0                               0   \n",
       "\n",
       "    CM004525.1_3367262_3367328_DEL  CM004525.1_5558809_5559097_DEL  \\\n",
       "0                                2                               2   \n",
       "1                                0                               0   \n",
       "2                                0                               1   \n",
       "3                                0                               0   \n",
       "4                                2                               1   \n",
       "5                                2                               0   \n",
       "6                                2                               1   \n",
       "7                                1                               1   \n",
       "8                                2                               1   \n",
       "9                                0                               1   \n",
       "10                               2                               1   \n",
       "11                               0                               0   \n",
       "12                               2                               0   \n",
       "13                               1                               1   \n",
       "14                               2                               0   \n",
       "15                               1                               2   \n",
       "16                               2                               2   \n",
       "17                               0                               1   \n",
       "18                               0                               0   \n",
       "19                               0                               2   \n",
       "20                               1                               0   \n",
       "21                               2                               1   \n",
       "22                               2                               1   \n",
       "23                               2                               0   \n",
       "24                               2                               1   \n",
       "25                               2                               0   \n",
       "26                               1                               0   \n",
       "27                               1                               0   \n",
       "28                               0                               0   \n",
       "29                               2                               1   \n",
       "30                               1                               0   \n",
       "31                               1                               1   \n",
       "32                               0                               0   \n",
       "\n",
       "    CM004525.1_7403900_7405237_DEL  CM004525.1_7522591_7522670_DEL  \\\n",
       "0                                1                               1   \n",
       "1                                1                               2   \n",
       "2                                1                               2   \n",
       "3                                1                               0   \n",
       "4                                0                               0   \n",
       "5                                0                               0   \n",
       "6                                0                               0   \n",
       "7                                1                               2   \n",
       "8                                1                               2   \n",
       "9                                0                               0   \n",
       "10                               1                               0   \n",
       "11                               1                               0   \n",
       "12                               0                               0   \n",
       "13                               2                               1   \n",
       "14                               0                               2   \n",
       "15                               0                               1   \n",
       "16                               1                               1   \n",
       "17                               1                               2   \n",
       "18                               0                               0   \n",
       "19                               0                               2   \n",
       "20                               2                               1   \n",
       "21                               0                               1   \n",
       "22                               0                               1   \n",
       "23                               0                               1   \n",
       "24                               0                               0   \n",
       "25                               0                               1   \n",
       "26                               1                               1   \n",
       "27                               1                               2   \n",
       "28                               1                               1   \n",
       "29                               0                               1   \n",
       "30                               1                               2   \n",
       "31                               2                               1   \n",
       "32                               0                               2   \n",
       "\n",
       "    CM004525.1_9075437_9075557_DEL  CM004525.1_9813191_9813303_DEL  \\\n",
       "0                                0                               2   \n",
       "1                                1                               1   \n",
       "2                                0                               1   \n",
       "3                                0                               0   \n",
       "4                                0                               0   \n",
       "5                                0                               1   \n",
       "6                                0                               1   \n",
       "7                                1                               1   \n",
       "8                                1                               0   \n",
       "9                                0                               2   \n",
       "10                               0                               0   \n",
       "11                               0                               1   \n",
       "12                               1                               1   \n",
       "13                               1                               1   \n",
       "14                               0                               0   \n",
       "15                               0                               0   \n",
       "16                               1                               0   \n",
       "17                               1                               0   \n",
       "18                               1                               2   \n",
       "19                               1                               0   \n",
       "20                               0                               0   \n",
       "21                               0                               0   \n",
       "22                               2                               1   \n",
       "23                               0                               2   \n",
       "24                               1                               1   \n",
       "25                               2                               1   \n",
       "26                               0                               0   \n",
       "27                               0                               0   \n",
       "28                               0                               1   \n",
       "29                               1                               1   \n",
       "30                               0                               0   \n",
       "31                               2                               1   \n",
       "32                               0                               1   \n",
       "\n",
       "    CM004525.1_10956079_10956149_DEL  CM004525.1_11653151_11653211_DEL  ...  \\\n",
       "0                                  0                                 1  ...   \n",
       "1                                  0                                 2  ...   \n",
       "2                                  1                                 2  ...   \n",
       "3                                  0                                 2  ...   \n",
       "4                                  1                                 1  ...   \n",
       "5                                  0                                 0  ...   \n",
       "6                                  0                                 2  ...   \n",
       "7                                  0                                 0  ...   \n",
       "8                                  1                                 0  ...   \n",
       "9                                  0                                 1  ...   \n",
       "10                                 1                                 0  ...   \n",
       "11                                 2                                 1  ...   \n",
       "12                                 0                                 2  ...   \n",
       "13                                 0                                 0  ...   \n",
       "14                                 0                                 2  ...   \n",
       "15                                 2                                 0  ...   \n",
       "16                                 0                                 1  ...   \n",
       "17                                 0                                 1  ...   \n",
       "18                                 1                                 0  ...   \n",
       "19                                 0                                 2  ...   \n",
       "20                                 1                                 0  ...   \n",
       "21                                 1                                 1  ...   \n",
       "22                                 0                                 0  ...   \n",
       "23                                 0                                 1  ...   \n",
       "24                                 0                                 1  ...   \n",
       "25                                 1                                 2  ...   \n",
       "26                                 2                                 1  ...   \n",
       "27                                 0                                 1  ...   \n",
       "28                                 1                                 1  ...   \n",
       "29                                 1                                 1  ...   \n",
       "30                                 0                                 1  ...   \n",
       "31                                 0                                 1  ...   \n",
       "32                                 1                                 1  ...   \n",
       "\n",
       "    CM004549.1_2440750_2440870_DEL  CM004550.1_246509_247134_DEL  \\\n",
       "0                                2                             1   \n",
       "1                                1                             2   \n",
       "2                                0                             0   \n",
       "3                                2                             0   \n",
       "4                                0                             0   \n",
       "5                                0                             1   \n",
       "6                                0                             0   \n",
       "7                                1                             0   \n",
       "8                                2                             1   \n",
       "9                                0                             2   \n",
       "10                               0                             0   \n",
       "11                               0                             0   \n",
       "12                               0                             0   \n",
       "13                               0                             1   \n",
       "14                               0                             0   \n",
       "15                               0                             0   \n",
       "16                               0                             1   \n",
       "17                               0                             0   \n",
       "18                               0                             0   \n",
       "19                               1                             1   \n",
       "20                               1                             0   \n",
       "21                               0                             0   \n",
       "22                               0                             0   \n",
       "23                               0                             1   \n",
       "24                               0                             0   \n",
       "25                               0                             0   \n",
       "26                               0                             2   \n",
       "27                               1                             0   \n",
       "28                               0                             0   \n",
       "29                               0                             0   \n",
       "30                               0                             0   \n",
       "31                               0                             1   \n",
       "32                               0                             0   \n",
       "\n",
       "    CM004550.1_1236277_1236348_DEL  CM004550.1_1890650_1890710_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                0                               0   \n",
       "2                                0                               0   \n",
       "3                                0                               0   \n",
       "4                                0                               0   \n",
       "5                                0                               1   \n",
       "6                                0                               0   \n",
       "7                                0                               0   \n",
       "8                                1                               0   \n",
       "9                                0                               1   \n",
       "10                               1                               2   \n",
       "11                               2                               1   \n",
       "12                               0                               1   \n",
       "13                               1                               0   \n",
       "14                               2                               0   \n",
       "15                               0                               0   \n",
       "16                               0                               0   \n",
       "17                               1                               2   \n",
       "18                               0                               0   \n",
       "19                               2                               0   \n",
       "20                               0                               0   \n",
       "21                               1                               0   \n",
       "22                               0                               0   \n",
       "23                               1                               2   \n",
       "24                               0                               1   \n",
       "25                               0                               2   \n",
       "26                               2                               0   \n",
       "27                               1                               0   \n",
       "28                               0                               0   \n",
       "29                               0                               0   \n",
       "30                               1                               0   \n",
       "31                               1                               0   \n",
       "32                               0                               2   \n",
       "\n",
       "    CM004550.1_3727001_3727053_DEL  CM004550.1_4313941_4314149_DEL  \\\n",
       "0                                0                               1   \n",
       "1                                0                               1   \n",
       "2                                1                               2   \n",
       "3                                2                               1   \n",
       "4                                1                               2   \n",
       "5                                1                               0   \n",
       "6                                0                               0   \n",
       "7                                0                               2   \n",
       "8                                0                               2   \n",
       "9                                2                               0   \n",
       "10                               1                               2   \n",
       "11                               0                               2   \n",
       "12                               0                               0   \n",
       "13                               0                               1   \n",
       "14                               1                               2   \n",
       "15                               0                               2   \n",
       "16                               1                               1   \n",
       "17                               1                               2   \n",
       "18                               1                               2   \n",
       "19                               0                               0   \n",
       "20                               0                               2   \n",
       "21                               0                               1   \n",
       "22                               0                               2   \n",
       "23                               2                               1   \n",
       "24                               0                               0   \n",
       "25                               0                               1   \n",
       "26                               0                               2   \n",
       "27                               2                               2   \n",
       "28                               0                               2   \n",
       "29                               0                               1   \n",
       "30                               1                               2   \n",
       "31                               0                               2   \n",
       "32                               0                               1   \n",
       "\n",
       "    CM004552.1_1630829_1630907_DEL  CM004553.1_2614567_2614634_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                0                               2   \n",
       "2                                0                               2   \n",
       "3                                0                               2   \n",
       "4                                1                               0   \n",
       "5                                0                               0   \n",
       "6                                0                               2   \n",
       "7                                1                               2   \n",
       "8                                0                               2   \n",
       "9                                0                               0   \n",
       "10                               1                               0   \n",
       "11                               0                               1   \n",
       "12                               2                               2   \n",
       "13                               0                               0   \n",
       "14                               1                               0   \n",
       "15                               0                               2   \n",
       "16                               0                               0   \n",
       "17                               0                               0   \n",
       "18                               1                               1   \n",
       "19                               2                               0   \n",
       "20                               1                               0   \n",
       "21                               2                               0   \n",
       "22                               0                               1   \n",
       "23                               1                               1   \n",
       "24                               0                               2   \n",
       "25                               0                               2   \n",
       "26                               2                               0   \n",
       "27                               0                               0   \n",
       "28                               1                               2   \n",
       "29                               1                               1   \n",
       "30                               1                               2   \n",
       "31                               0                               1   \n",
       "32                               1                               0   \n",
       "\n",
       "    CM004553.1_2844948_2845034_DEL  CM004554.1_868673_869052_DEL  \n",
       "0                                0                             1  \n",
       "1                                0                             0  \n",
       "2                                0                             0  \n",
       "3                                0                             0  \n",
       "4                                1                             1  \n",
       "5                                2                             2  \n",
       "6                                0                             1  \n",
       "7                                2                             0  \n",
       "8                                0                             1  \n",
       "9                                2                             0  \n",
       "10                               0                             0  \n",
       "11                               2                             1  \n",
       "12                               0                             1  \n",
       "13                               2                             0  \n",
       "14                               1                             0  \n",
       "15                               0                             0  \n",
       "16                               0                             1  \n",
       "17                               0                             0  \n",
       "18                               1                             2  \n",
       "19                               1                             0  \n",
       "20                               2                             1  \n",
       "21                               0                             1  \n",
       "22                               1                             0  \n",
       "23                               2                             2  \n",
       "24                               2                             1  \n",
       "25                               0                             1  \n",
       "26                               1                             1  \n",
       "27                               1                             1  \n",
       "28                               1                             2  \n",
       "29                               0                             0  \n",
       "30                               0                             0  \n",
       "31                               1                             0  \n",
       "32                               0                             0  \n",
       "\n",
       "[33 rows x 1243 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"yesallintersect_T.csv\")\n",
    "hs = pd.read_csv(\"HS.sample.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "X = df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-2.29321614, -1.0686168 ],\n",
       "       [-2.80739552, -0.05064621],\n",
       "       [ 0.29929478,  1.59869973],\n",
       "       [-1.08061363,  1.39092992],\n",
       "       [-0.14903699, -2.82404473],\n",
       "       [-2.59111261, -5.04806587],\n",
       "       [-2.02494172, -0.42379293],\n",
       "       [-6.68648576, 14.22920414],\n",
       "       [-7.61665918, 14.68846853],\n",
       "       [-3.62479127, -1.93538665],\n",
       "       [-3.69913197, -2.47067328],\n",
       "       [16.98275167,  5.99493935],\n",
       "       [ 0.40924062, -1.55254721],\n",
       "       [ 2.33900622, -5.45767814],\n",
       "       [13.11902958,  0.71020492],\n",
       "       [-2.23424157, -3.69264386],\n",
       "       [-1.20657433, -1.83417195],\n",
       "       [-4.59874766, -2.99207114],\n",
       "       [-2.44811857, -2.82325994],\n",
       "       [ 1.92133999, -5.54281349],\n",
       "       [11.78420517,  2.87335513],\n",
       "       [-0.76577828, -7.43647598],\n",
       "       [ 0.29596233, -8.74504221],\n",
       "       [ 0.75708218, -6.37603585],\n",
       "       [-4.29572706, -5.99616495],\n",
       "       [-2.14168713, -6.99567652],\n",
       "       [19.04271929,  5.81207047],\n",
       "       [-3.41046837,  0.64991811],\n",
       "       [ 9.54474798,  1.26587015],\n",
       "       [-5.88820906,  6.90629578],\n",
       "       [-5.51005555,  8.73460204],\n",
       "       [-5.35326344,  4.39426934],\n",
       "       [-6.069124  ,  4.01698011]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=2)\n",
    "components = pca.fit_transform(X)\n",
    "\n",
    "components "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "pcomp = pd.DataFrame(components)\n",
    "\n",
    "merged = pd.concat([pcomp, hs], axis=1)\n",
    "\n",
    "merged['popinfo']\n",
    "PC1 = merged.iloc[:, 0]\n",
    "PC2 = merged.iloc[:, 1]\n",
    "\n",
    "merged_n = merged.rename(columns={0: 'PC1'})\n",
    "merged_new = merged_n.rename(columns={1: 'PC2'})\n",
    "\n",
    "merged2 =  merged_new.rename(columns={'popinfo': 'populations'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>populations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-2.293216</td>\n",
       "      <td>-1.068617</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.807396</td>\n",
       "      <td>-0.050646</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.299295</td>\n",
       "      <td>1.598700</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.080614</td>\n",
       "      <td>1.390930</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.149037</td>\n",
       "      <td>-2.824045</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-2.591113</td>\n",
       "      <td>-5.048066</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-2.024942</td>\n",
       "      <td>-0.423793</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-6.686486</td>\n",
       "      <td>14.229204</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-7.616659</td>\n",
       "      <td>14.688469</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-3.624791</td>\n",
       "      <td>-1.935387</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-3.699132</td>\n",
       "      <td>-2.470673</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>16.982752</td>\n",
       "      <td>5.994939</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.409241</td>\n",
       "      <td>-1.552547</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2.339006</td>\n",
       "      <td>-5.457678</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.119030</td>\n",
       "      <td>0.710205</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-2.234242</td>\n",
       "      <td>-3.692644</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-1.206574</td>\n",
       "      <td>-1.834172</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-4.598748</td>\n",
       "      <td>-2.992071</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-2.448119</td>\n",
       "      <td>-2.823260</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.921340</td>\n",
       "      <td>-5.542813</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11.784205</td>\n",
       "      <td>2.873355</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.765778</td>\n",
       "      <td>-7.436476</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.295962</td>\n",
       "      <td>-8.745042</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.757082</td>\n",
       "      <td>-6.376036</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-4.295727</td>\n",
       "      <td>-5.996165</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-2.141687</td>\n",
       "      <td>-6.995677</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>19.042719</td>\n",
       "      <td>5.812070</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-3.410468</td>\n",
       "      <td>0.649918</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9.544748</td>\n",
       "      <td>1.265870</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-5.888209</td>\n",
       "      <td>6.906296</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-5.510056</td>\n",
       "      <td>8.734602</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-5.353263</td>\n",
       "      <td>4.394269</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>-6.069124</td>\n",
       "      <td>4.016980</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PC1        PC2 populations\n",
       "0   -2.293216  -1.068617        ALTA\n",
       "1   -2.807396  -0.050646        ALTA\n",
       "2    0.299295   1.598700        HELG\n",
       "3   -1.080614   1.390930        TRON\n",
       "4   -0.149037  -2.824045        TRON\n",
       "5   -2.591113  -5.048066        TRON\n",
       "6   -2.024942  -0.423793        HELG\n",
       "7   -6.686486  14.229204        PASV\n",
       "8   -7.616659  14.688469        PASV\n",
       "9   -3.624791  -1.935387        TRON\n",
       "10  -3.699132  -2.470673        HELG\n",
       "11  16.982752   5.994939        VEGA\n",
       "12   0.409241  -1.552547        TRON\n",
       "13   2.339006  -5.457678        LEKA\n",
       "14  13.119030   0.710205        VEGA\n",
       "15  -2.234242  -3.692644        HELG\n",
       "16  -1.206574  -1.834172        HELG\n",
       "17  -4.598748  -2.992071        TRON\n",
       "18  -2.448119  -2.823260        TRON\n",
       "19   1.921340  -5.542813        VEGA\n",
       "20  11.784205   2.873355        VEGA\n",
       "21  -0.765778  -7.436476        LEKA\n",
       "22   0.295962  -8.745042        LEKA\n",
       "23   0.757082  -6.376036        LEKA\n",
       "24  -4.295727  -5.996165        TRON\n",
       "25  -2.141687  -6.995677        TRON\n",
       "26  19.042719   5.812070   LEKAxVEGA\n",
       "27  -3.410468   0.649918   LEKAxVEGA\n",
       "28   9.544748   1.265870   LEKAxVEGA\n",
       "29  -5.888209   6.906296         FIN\n",
       "30  -5.510056   8.734602         FIN\n",
       "31  -5.353263   4.394269         FIN\n",
       "32  -6.069124   4.016980         FIN"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\t\n",
    "# Set theme\n",
    "sns.set_style('darkgrid')\n",
    "\n",
    "colours = ['#78C850',  # Grass\n",
    "                    '#F08030',  # Fire\n",
    "                    '#EE99AC',  # Fairy\n",
    "                    '#F85888',  # Psychic\n",
    "                    '#B8A038',  # Rock\n",
    "                    '#705898',  # Ghost\n",
    "                    '#98D8D8',  # Ice\n",
    "                    '#7038F8',  # Dragon\n",
    "                   ]\n",
    "\t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f629a533ed0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 670.625x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot\n",
    "import seaborn\n",
    "\n",
    "\n",
    "sns.relplot(x=\"PC1\", y=\"PC2\", data=merged2, hue=\"populations\", palette=colours, s=(150),height=8, aspect=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***PART 2. INTERSECT AND PLOT SVs SCORED AS \"YES\" OR \"MAYBE\" BY ALL CURATORS***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "STEP 1 - filter out only the Good calls in the report:\n",
    "\n",
    "Filter for number of SVs in report by desired person, reorganize columns for order chrom, start pos,stop pos, SV type:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Filter for Maybes for each of the four curators***\n",
    "\n",
    "First set the file names and curator names as variables\n",
    "\n",
    "Then extract all Maybes from the raw report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "RAWDEL=raw_report_del_dec26_2020.tsv\n",
    "#Enter the curators emails below. In the above file they have been replaced with the following:\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "#set the SV class\n",
    "SV=DEL\n",
    "\n",
    "#Extract all Yes's\n",
    "cat ${RAWDEL} | grep \"${CUR1}\" | grep \"Maybe\"| sed '1,3d' > maybe_${SV}_${CUR1}.tsv\n",
    "cat ${RAWDEL} | grep \"${CUR2}\" | grep \"Maybe\"| sed '1,3d' > maybe_${SV}_${CUR2}.tsv\n",
    "cat ${RAWDEL} | grep \"${CUR3}\" | grep \"Maybe\"| sed '1,3d' > maybe_${SV}_${CUR3}.tsv\n",
    "cat ${RAWDEL} | grep \"${CUR4}\" | grep \"Maybe\"| sed '1,3d' > maybe_${SV}_${CUR4}.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "#set the SV class\n",
    "SV=DEL\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "\n",
    "cat maybe_${SV}_${CUR1}.tsv yes_${SV}_${CUR1}.tsv >>  yesmaybe_${SV}_${CUR1}.tsv\n",
    "cat maybe_${SV}_${CUR2}.tsv yes_${SV}_${CUR2}.tsv >>  yesmaybe_${SV}_${CUR2}.tsv\n",
    "cat maybe_${SV}_${CUR3}.tsv yes_${SV}_${CUR3}.tsv >>  yesmaybe_${SV}_${CUR3}.tsv\n",
    "cat maybe_${SV}_${CUR4}.tsv yes_${SV}_${CUR4}.tsv >>  yesmaybe_${SV}_${CUR4}.tsv\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Process the .bed file to extract genotype information for each SV call"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "#set the SV class\n",
    "SV=DEL\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "\n",
    "cat yesmaybe_${SV}_${CUR1}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yesmaybe_${SV}_${CUR1}_processed.bed \n",
    "cat yesmaybe_${SV}_${CUR2}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yesmaybe_${SV}_${CUR2}_processed.bed \n",
    "cat yesmaybe_${SV}_${CUR3}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yesmaybe_${SV}_${CUR3}_processed.bed \n",
    "cat yesmaybe_${SV}_${CUR4}.tsv | sed 's/_/\\t/g' | sed 's/ //'g | awk '{ print $4,$5,$6,$3}' | sed 's/DEL\\///g' | sort -k1,1 -k2,2n | sed 's/ /\\t/'g > yesmaybe_${SV}_${CUR4}_processed.bed "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First take intersect off all four curators' validated SVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash \n",
    "#set the SV class\n",
    "SV=DEL\n",
    "CUR1=curator1\n",
    "CUR2=curator2\n",
    "CUR3=curator3\n",
    "CUR4=curator4\n",
    "\n",
    "bedops --intersect yesmaybe_${SV}_${CUR1}_processed.bed yesmaybe_${SV}_${CUR2}_processed.bed yesmaybe_${SV}_${CUR3}_processed.bed yes_${SV}_${CUR4}_processed.bed  > yesmaybeallintersect.bed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now intersect with .bed file extracted from original Smoove .vcf file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "#%%bash \n",
    "#set the SV class\n",
    "#SV=DEL\n",
    "#CUR1=curator1\n",
    "#CUR2=curator2\n",
    "#CUR3=curator3\n",
    "#CUR4=curator4\n",
    "\n",
    "#bedtools intersect -f 0.9 -r -a SV_altgenos.bed -b yesmaybeallintersect.bed  > yesmaybeallintersect.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Change format of intersected bedfile, repeat this to join 3 first columns with tabs***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat yesmaybeallintersect.txt | sed 's/0\\/0/0/g' | sed 's/0\\/1/1/g' | sed 's/1\\/1/2/g'| sed 's/.\\/\\./0/g' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' > yesmaybeallintersect_edit.txt "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Convert to .csv for export to Python, to tranpose matrix***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat yesmaybeallintersect_edit.txt | sed 's/\\t/,/'g > yesmaybeallintersect_edit.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"yesmaybeallintersect_edit.csv\", header = None, index_col = None)\n",
    "\n",
    "df_T = df.transpose()\n",
    "\n",
    "df_T.to_csv(\"yesmaybeallintersect_T.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove first line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "sed -i -e 1,1d yesmaybeallintersect_T.csv "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Now plot in Python!***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33 rows × 1275 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    CM004525.1_450632_450686_DEL  CM004525.1_2793450_2793535_DEL  \\\n",
       "0                              0                               2   \n",
       "1                              0                               1   \n",
       "2                              0                               0   \n",
       "3                              1                               0   \n",
       "4                              0                               1   \n",
       "5                              2                               0   \n",
       "6                              0                               0   \n",
       "7                              1                               0   \n",
       "8                              0                               1   \n",
       "9                              2                               2   \n",
       "10                             2                               1   \n",
       "11                             0                               0   \n",
       "12                             2                               0   \n",
       "13                             1                               2   \n",
       "14                             0                               0   \n",
       "15                             1                               0   \n",
       "16                             1                               0   \n",
       "17                             0                               2   \n",
       "18                             0                               1   \n",
       "19                             1                               1   \n",
       "20                             1                               0   \n",
       "21                             0                               0   \n",
       "22                             0                               2   \n",
       "23                             1                               1   \n",
       "24                             0                               2   \n",
       "25                             1                               2   \n",
       "26                             0                               0   \n",
       "27                             0                               2   \n",
       "28                             0                               0   \n",
       "29                             0                               0   \n",
       "30                             0                               0   \n",
       "31                             1                               1   \n",
       "32                             0                               0   \n",
       "\n",
       "    CM004525.1_3367262_3367328_DEL  CM004525.1_5558809_5559097_DEL  \\\n",
       "0                                2                               2   \n",
       "1                                0                               0   \n",
       "2                                0                               1   \n",
       "3                                0                               0   \n",
       "4                                2                               1   \n",
       "5                                2                               0   \n",
       "6                                2                               1   \n",
       "7                                1                               1   \n",
       "8                                2                               1   \n",
       "9                                0                               1   \n",
       "10                               2                               1   \n",
       "11                               0                               0   \n",
       "12                               2                               0   \n",
       "13                               1                               1   \n",
       "14                               2                               0   \n",
       "15                               1                               2   \n",
       "16                               2                               2   \n",
       "17                               0                               1   \n",
       "18                               0                               0   \n",
       "19                               0                               2   \n",
       "20                               1                               0   \n",
       "21                               2                               1   \n",
       "22                               2                               1   \n",
       "23                               2                               0   \n",
       "24                               2                               1   \n",
       "25                               2                               0   \n",
       "26                               1                               0   \n",
       "27                               1                               0   \n",
       "28                               0                               0   \n",
       "29                               2                               1   \n",
       "30                               1                               0   \n",
       "31                               1                               1   \n",
       "32                               0                               0   \n",
       "\n",
       "    CM004525.1_7403900_7405237_DEL  CM004525.1_7522591_7522670_DEL  \\\n",
       "0                                1                               1   \n",
       "1                                1                               2   \n",
       "2                                1                               2   \n",
       "3                                1                               0   \n",
       "4                                0                               0   \n",
       "5                                0                               0   \n",
       "6                                0                               0   \n",
       "7                                1                               2   \n",
       "8                                1                               2   \n",
       "9                                0                               0   \n",
       "10                               1                               0   \n",
       "11                               1                               0   \n",
       "12                               0                               0   \n",
       "13                               2                               1   \n",
       "14                               0                               2   \n",
       "15                               0                               1   \n",
       "16                               1                               1   \n",
       "17                               1                               2   \n",
       "18                               0                               0   \n",
       "19                               0                               2   \n",
       "20                               2                               1   \n",
       "21                               0                               1   \n",
       "22                               0                               1   \n",
       "23                               0                               1   \n",
       "24                               0                               0   \n",
       "25                               0                               1   \n",
       "26                               1                               1   \n",
       "27                               1                               2   \n",
       "28                               1                               1   \n",
       "29                               0                               1   \n",
       "30                               1                               2   \n",
       "31                               2                               1   \n",
       "32                               0                               2   \n",
       "\n",
       "    CM004525.1_9075437_9075557_DEL  CM004525.1_9813191_9813303_DEL  \\\n",
       "0                                0                               2   \n",
       "1                                1                               1   \n",
       "2                                0                               1   \n",
       "3                                0                               0   \n",
       "4                                0                               0   \n",
       "5                                0                               1   \n",
       "6                                0                               1   \n",
       "7                                1                               1   \n",
       "8                                1                               0   \n",
       "9                                0                               2   \n",
       "10                               0                               0   \n",
       "11                               0                               1   \n",
       "12                               1                               1   \n",
       "13                               1                               1   \n",
       "14                               0                               0   \n",
       "15                               0                               0   \n",
       "16                               1                               0   \n",
       "17                               1                               0   \n",
       "18                               1                               2   \n",
       "19                               1                               0   \n",
       "20                               0                               0   \n",
       "21                               0                               0   \n",
       "22                               2                               1   \n",
       "23                               0                               2   \n",
       "24                               1                               1   \n",
       "25                               2                               1   \n",
       "26                               0                               0   \n",
       "27                               0                               0   \n",
       "28                               0                               1   \n",
       "29                               1                               1   \n",
       "30                               0                               0   \n",
       "31                               2                               1   \n",
       "32                               0                               1   \n",
       "\n",
       "    CM004525.1_10956079_10956149_DEL  CM004525.1_11653151_11653211_DEL  ...  \\\n",
       "0                                  0                                 1  ...   \n",
       "1                                  0                                 2  ...   \n",
       "2                                  1                                 2  ...   \n",
       "3                                  0                                 2  ...   \n",
       "4                                  1                                 1  ...   \n",
       "5                                  0                                 0  ...   \n",
       "6                                  0                                 2  ...   \n",
       "7                                  0                                 0  ...   \n",
       "8                                  1                                 0  ...   \n",
       "9                                  0                                 1  ...   \n",
       "10                                 1                                 0  ...   \n",
       "11                                 2                                 1  ...   \n",
       "12                                 0                                 2  ...   \n",
       "13                                 0                                 0  ...   \n",
       "14                                 0                                 2  ...   \n",
       "15                                 2                                 0  ...   \n",
       "16                                 0                                 1  ...   \n",
       "17                                 0                                 1  ...   \n",
       "18                                 1                                 0  ...   \n",
       "19                                 0                                 2  ...   \n",
       "20                                 1                                 0  ...   \n",
       "21                                 1                                 1  ...   \n",
       "22                                 0                                 0  ...   \n",
       "23                                 0                                 1  ...   \n",
       "24                                 0                                 1  ...   \n",
       "25                                 1                                 2  ...   \n",
       "26                                 2                                 1  ...   \n",
       "27                                 0                                 1  ...   \n",
       "28                                 1                                 1  ...   \n",
       "29                                 1                                 1  ...   \n",
       "30                                 0                                 1  ...   \n",
       "31                                 0                                 1  ...   \n",
       "32                                 1                                 1  ...   \n",
       "\n",
       "    CM004549.1_2440750_2440870_DEL  CM004550.1_246509_247134_DEL  \\\n",
       "0                                2                             1   \n",
       "1                                1                             2   \n",
       "2                                0                             0   \n",
       "3                                2                             0   \n",
       "4                                0                             0   \n",
       "5                                0                             1   \n",
       "6                                0                             0   \n",
       "7                                1                             0   \n",
       "8                                2                             1   \n",
       "9                                0                             2   \n",
       "10                               0                             0   \n",
       "11                               0                             0   \n",
       "12                               0                             0   \n",
       "13                               0                             1   \n",
       "14                               0                             0   \n",
       "15                               0                             0   \n",
       "16                               0                             1   \n",
       "17                               0                             0   \n",
       "18                               0                             0   \n",
       "19                               1                             1   \n",
       "20                               1                             0   \n",
       "21                               0                             0   \n",
       "22                               0                             0   \n",
       "23                               0                             1   \n",
       "24                               0                             0   \n",
       "25                               0                             0   \n",
       "26                               0                             2   \n",
       "27                               1                             0   \n",
       "28                               0                             0   \n",
       "29                               0                             0   \n",
       "30                               0                             0   \n",
       "31                               0                             1   \n",
       "32                               0                             0   \n",
       "\n",
       "    CM004550.1_1236277_1236348_DEL  CM004550.1_1890650_1890710_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                0                               0   \n",
       "2                                0                               0   \n",
       "3                                0                               0   \n",
       "4                                0                               0   \n",
       "5                                0                               1   \n",
       "6                                0                               0   \n",
       "7                                0                               0   \n",
       "8                                1                               0   \n",
       "9                                0                               1   \n",
       "10                               1                               2   \n",
       "11                               2                               1   \n",
       "12                               0                               1   \n",
       "13                               1                               0   \n",
       "14                               2                               0   \n",
       "15                               0                               0   \n",
       "16                               0                               0   \n",
       "17                               1                               2   \n",
       "18                               0                               0   \n",
       "19                               2                               0   \n",
       "20                               0                               0   \n",
       "21                               1                               0   \n",
       "22                               0                               0   \n",
       "23                               1                               2   \n",
       "24                               0                               1   \n",
       "25                               0                               2   \n",
       "26                               2                               0   \n",
       "27                               1                               0   \n",
       "28                               0                               0   \n",
       "29                               0                               0   \n",
       "30                               1                               0   \n",
       "31                               1                               0   \n",
       "32                               0                               2   \n",
       "\n",
       "    CM004550.1_3727001_3727053_DEL  CM004550.1_4313941_4314149_DEL  \\\n",
       "0                                0                               1   \n",
       "1                                0                               1   \n",
       "2                                1                               2   \n",
       "3                                2                               1   \n",
       "4                                1                               2   \n",
       "5                                1                               0   \n",
       "6                                0                               0   \n",
       "7                                0                               2   \n",
       "8                                0                               2   \n",
       "9                                2                               0   \n",
       "10                               1                               2   \n",
       "11                               0                               2   \n",
       "12                               0                               0   \n",
       "13                               0                               1   \n",
       "14                               1                               2   \n",
       "15                               0                               2   \n",
       "16                               1                               1   \n",
       "17                               1                               2   \n",
       "18                               1                               2   \n",
       "19                               0                               0   \n",
       "20                               0                               2   \n",
       "21                               0                               1   \n",
       "22                               0                               2   \n",
       "23                               2                               1   \n",
       "24                               0                               0   \n",
       "25                               0                               1   \n",
       "26                               0                               2   \n",
       "27                               2                               2   \n",
       "28                               0                               2   \n",
       "29                               0                               1   \n",
       "30                               1                               2   \n",
       "31                               0                               2   \n",
       "32                               0                               1   \n",
       "\n",
       "    CM004552.1_1630829_1630907_DEL  CM004553.1_2614567_2614634_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                0                               2   \n",
       "2                                0                               2   \n",
       "3                                0                               2   \n",
       "4                                1                               0   \n",
       "5                                0                               0   \n",
       "6                                0                               2   \n",
       "7                                1                               2   \n",
       "8                                0                               2   \n",
       "9                                0                               0   \n",
       "10                               1                               0   \n",
       "11                               0                               1   \n",
       "12                               2                               2   \n",
       "13                               0                               0   \n",
       "14                               1                               0   \n",
       "15                               0                               2   \n",
       "16                               0                               0   \n",
       "17                               0                               0   \n",
       "18                               1                               1   \n",
       "19                               2                               0   \n",
       "20                               1                               0   \n",
       "21                               2                               0   \n",
       "22                               0                               1   \n",
       "23                               1                               1   \n",
       "24                               0                               2   \n",
       "25                               0                               2   \n",
       "26                               2                               0   \n",
       "27                               0                               0   \n",
       "28                               1                               2   \n",
       "29                               1                               1   \n",
       "30                               1                               2   \n",
       "31                               0                               1   \n",
       "32                               1                               0   \n",
       "\n",
       "    CM004553.1_2844948_2845034_DEL  CM004554.1_868673_869052_DEL  \n",
       "0                                0                             1  \n",
       "1                                0                             0  \n",
       "2                                0                             0  \n",
       "3                                0                             0  \n",
       "4                                1                             1  \n",
       "5                                2                             2  \n",
       "6                                0                             1  \n",
       "7                                2                             0  \n",
       "8                                0                             1  \n",
       "9                                2                             0  \n",
       "10                               0                             0  \n",
       "11                               2                             1  \n",
       "12                               0                             1  \n",
       "13                               2                             0  \n",
       "14                               1                             0  \n",
       "15                               0                             0  \n",
       "16                               0                             1  \n",
       "17                               0                             0  \n",
       "18                               1                             2  \n",
       "19                               1                             0  \n",
       "20                               2                             1  \n",
       "21                               0                             1  \n",
       "22                               1                             0  \n",
       "23                               2                             2  \n",
       "24                               2                             1  \n",
       "25                               0                             1  \n",
       "26                               1                             1  \n",
       "27                               1                             1  \n",
       "28                               1                             2  \n",
       "29                               0                             0  \n",
       "30                               0                             0  \n",
       "31                               1                             0  \n",
       "32                               0                             0  \n",
       "\n",
       "[33 rows x 1275 columns]"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"yesmaybeallintersect_T.csv\")\n",
    "hs = pd.read_csv(\"HS.sample.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "X = df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-2.43057706, -0.85206785],\n",
       "       [-2.53983998, -0.1755559 ],\n",
       "       [ 0.50886807,  1.3215813 ],\n",
       "       [-1.27446712,  1.01534095],\n",
       "       [ 0.12493433, -3.03522917],\n",
       "       [-2.6893275 , -5.1146047 ],\n",
       "       [-2.31654033, -1.11138674],\n",
       "       [-7.27344076, 14.21863784],\n",
       "       [-8.40658731, 14.74234252],\n",
       "       [-3.41502137, -2.98497014],\n",
       "       [-3.73431948, -3.19146762],\n",
       "       [16.8713241 ,  5.76931321],\n",
       "       [ 0.11890301, -0.62767068],\n",
       "       [ 2.25901616, -4.9181681 ],\n",
       "       [13.43757043,  1.75724927],\n",
       "       [-2.579298  , -2.08008049],\n",
       "       [-1.13515408, -0.56332255],\n",
       "       [-4.46918269, -3.85592563],\n",
       "       [-2.18210443, -3.69898173],\n",
       "       [ 2.37226415, -6.44962823],\n",
       "       [11.6226636 ,  2.73223377],\n",
       "       [-0.42542223, -6.90532449],\n",
       "       [ 0.59987239, -8.91576996],\n",
       "       [ 0.7234166 , -6.50759026],\n",
       "       [-4.27808846, -6.08076834],\n",
       "       [-2.02052646, -7.01623203],\n",
       "       [19.17114307,  6.64145296],\n",
       "       [-3.55235361,  0.34020335],\n",
       "       [ 9.64257519,  0.90925472],\n",
       "       [-5.94193767,  6.70616692],\n",
       "       [-5.187713  ,  8.49092727],\n",
       "       [-5.37149951,  5.37409308],\n",
       "       [-6.22915007,  4.06594746]])"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=2)\n",
    "components = pca.fit_transform(X)\n",
    "\n",
    "components "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "pcomp = pd.DataFrame(components)\n",
    "\n",
    "merged = pd.concat([pcomp, hs], axis=1)\n",
    "\n",
    "merged['popinfo']\n",
    "PC1 = merged.iloc[:, 0]\n",
    "PC2 = merged.iloc[:, 1]\n",
    "\n",
    "merged_n = merged.rename(columns={0: 'PC1'})\n",
    "merged_new = merged_n.rename(columns={1: 'PC2'})\n",
    "\n",
    "merged2 =  merged_new.rename(columns={'popinfo': 'populations'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "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>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>populations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-2.430577</td>\n",
       "      <td>-0.852068</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.539840</td>\n",
       "      <td>-0.175556</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.508868</td>\n",
       "      <td>1.321581</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.274467</td>\n",
       "      <td>1.015341</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.124934</td>\n",
       "      <td>-3.035229</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-2.689328</td>\n",
       "      <td>-5.114605</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-2.316540</td>\n",
       "      <td>-1.111387</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-7.273441</td>\n",
       "      <td>14.218638</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-8.406587</td>\n",
       "      <td>14.742343</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-3.415021</td>\n",
       "      <td>-2.984970</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-3.734319</td>\n",
       "      <td>-3.191468</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>16.871324</td>\n",
       "      <td>5.769313</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.118903</td>\n",
       "      <td>-0.627671</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2.259016</td>\n",
       "      <td>-4.918168</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.437570</td>\n",
       "      <td>1.757249</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-2.579298</td>\n",
       "      <td>-2.080080</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-1.135154</td>\n",
       "      <td>-0.563323</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-4.469183</td>\n",
       "      <td>-3.855926</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-2.182104</td>\n",
       "      <td>-3.698982</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2.372264</td>\n",
       "      <td>-6.449628</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11.622664</td>\n",
       "      <td>2.732234</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.425422</td>\n",
       "      <td>-6.905324</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.599872</td>\n",
       "      <td>-8.915770</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.723417</td>\n",
       "      <td>-6.507590</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-4.278088</td>\n",
       "      <td>-6.080768</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-2.020526</td>\n",
       "      <td>-7.016232</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>19.171143</td>\n",
       "      <td>6.641453</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-3.552354</td>\n",
       "      <td>0.340203</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9.642575</td>\n",
       "      <td>0.909255</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-5.941938</td>\n",
       "      <td>6.706167</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-5.187713</td>\n",
       "      <td>8.490927</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-5.371500</td>\n",
       "      <td>5.374093</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>-6.229150</td>\n",
       "      <td>4.065947</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PC1        PC2 populations\n",
       "0   -2.430577  -0.852068        ALTA\n",
       "1   -2.539840  -0.175556        ALTA\n",
       "2    0.508868   1.321581        HELG\n",
       "3   -1.274467   1.015341        TRON\n",
       "4    0.124934  -3.035229        TRON\n",
       "5   -2.689328  -5.114605        TRON\n",
       "6   -2.316540  -1.111387        HELG\n",
       "7   -7.273441  14.218638        PASV\n",
       "8   -8.406587  14.742343        PASV\n",
       "9   -3.415021  -2.984970        TRON\n",
       "10  -3.734319  -3.191468        HELG\n",
       "11  16.871324   5.769313        VEGA\n",
       "12   0.118903  -0.627671        TRON\n",
       "13   2.259016  -4.918168        LEKA\n",
       "14  13.437570   1.757249        VEGA\n",
       "15  -2.579298  -2.080080        HELG\n",
       "16  -1.135154  -0.563323        HELG\n",
       "17  -4.469183  -3.855926        TRON\n",
       "18  -2.182104  -3.698982        TRON\n",
       "19   2.372264  -6.449628        VEGA\n",
       "20  11.622664   2.732234        VEGA\n",
       "21  -0.425422  -6.905324        LEKA\n",
       "22   0.599872  -8.915770        LEKA\n",
       "23   0.723417  -6.507590        LEKA\n",
       "24  -4.278088  -6.080768        TRON\n",
       "25  -2.020526  -7.016232        TRON\n",
       "26  19.171143   6.641453   LEKAxVEGA\n",
       "27  -3.552354   0.340203   LEKAxVEGA\n",
       "28   9.642575   0.909255   LEKAxVEGA\n",
       "29  -5.941938   6.706167         FIN\n",
       "30  -5.187713   8.490927         FIN\n",
       "31  -5.371500   5.374093         FIN\n",
       "32  -6.229150   4.065947         FIN"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\t\n",
    "# Set theme\n",
    "sns.set_style('darkgrid')\n",
    "\n",
    "colours = ['#78C850',  # Grass\n",
    "                    '#F08030',  # Fire\n",
    "                    '#EE99AC',  # Fairy\n",
    "                    '#F85888',  # Psychic\n",
    "                    '#B8A038',  # Rock\n",
    "                    '#705898',  # Ghost\n",
    "                    '#98D8D8',  # Ice\n",
    "                    '#7038F8',  # Dragon\n",
    "                   ]\n",
    "\t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f62b6f45650>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 670.625x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot\n",
    "import seaborn\n",
    "\n",
    "\n",
    "sns.relplot(x=\"PC1\", y=\"PC2\", data=merged2, hue=\"populations\", palette=colours, s=(150),height=8, aspect=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***PART 3. PLOT SVs REJECTED BY ALL CURATORS, THE REMAINDER OF THE ABOVE INTERSECT FOR SCORES OF \"YES\" OR \"MAYBE\"***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%%bash \n",
    "#grep the SV class\n",
    "\n",
    "#bedtools intersect -v -a SV_altgenos.bed -b yesallintersect.bed | grep \"DEL\" > all_rejected.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Change format of intersected bedfile, repeat this to join 3 first columns with tabs***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat all_rejected.txt | sed 's/0\\/0/0/g' | sed 's/0\\/1/1/g' | sed 's/1\\/1/2/g'| sed 's/.\\/\\./0/g' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' > all_rejected_edit.txt "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Convert to .csv for export to Python, to tranpose matrix***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat all_rejected_edit.txt | sed 's/\\t/,/'g > all_rejected_edit.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"all_rejected_edit.csv\", header = None, index_col = None)\n",
    "df\n",
    "df_T = df.transpose()\n",
    "\n",
    "df_T.to_csv(\"all_rejected_T.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove first line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "sed -i -e 1,1d all_rejected_T.csv "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Now plot in Python!***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "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>CM004525.1_69685_70178_DEL</th>\n",
       "      <th>CM004525.1_70489_413631_DEL</th>\n",
       "      <th>CM004525.1_83292_83620_DEL</th>\n",
       "      <th>CM004525.1_83758_84400_DEL</th>\n",
       "      <th>CM004525.1_84072_84367_DEL</th>\n",
       "      <th>CM004525.1_110201_425053_DEL</th>\n",
       "      <th>CM004525.1_116388_118179_DEL</th>\n",
       "      <th>CM004525.1_142504_144352_DEL</th>\n",
       "      <th>CM004525.1_152957_153556_DEL</th>\n",
       "      <th>CM004525.1_192298_192672_DEL</th>\n",
       "      <th>...</th>\n",
       "      <th>CM004554.1_3266132_3266820_DEL</th>\n",
       "      <th>CM004554.1_3272734_3274222_DEL</th>\n",
       "      <th>CM004554.1_3272735_3274901_DEL</th>\n",
       "      <th>CM004554.1_3285689_3286800_DEL</th>\n",
       "      <th>CM004554.1_3293614_3294606_DEL</th>\n",
       "      <th>CM004554.1_3378163_3378562_DEL</th>\n",
       "      <th>CM004554.1_3458698_3461289_DEL</th>\n",
       "      <th>CM004554.1_3461380_3466508_DEL</th>\n",
       "      <th>CM004554.1_3479906_3486030_DEL</th>\n",
       "      <th>CM004554.1_3514583_3515112_DEL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33 rows × 13324 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    CM004525.1_69685_70178_DEL  CM004525.1_70489_413631_DEL  \\\n",
       "0                            0                            0   \n",
       "1                            0                            1   \n",
       "2                            0                            1   \n",
       "3                            1                            0   \n",
       "4                            0                            2   \n",
       "5                            0                            1   \n",
       "6                            0                            1   \n",
       "7                            0                            1   \n",
       "8                            0                            1   \n",
       "9                            1                            1   \n",
       "10                           0                            1   \n",
       "11                           1                            1   \n",
       "12                           0                            0   \n",
       "13                           0                            0   \n",
       "14                           0                            0   \n",
       "15                           0                            1   \n",
       "16                           0                            1   \n",
       "17                           0                            0   \n",
       "18                           0                            1   \n",
       "19                           0                            1   \n",
       "20                           0                            1   \n",
       "21                           1                            0   \n",
       "22                           0                            0   \n",
       "23                           0                            0   \n",
       "24                           0                            1   \n",
       "25                           0                            2   \n",
       "26                           0                            1   \n",
       "27                           1                            1   \n",
       "28                           0                            1   \n",
       "29                           0                            1   \n",
       "30                           0                            1   \n",
       "31                           0                            0   \n",
       "32                           0                            1   \n",
       "\n",
       "    CM004525.1_83292_83620_DEL  CM004525.1_83758_84400_DEL  \\\n",
       "0                            1                           1   \n",
       "1                            1                           1   \n",
       "2                            1                           1   \n",
       "3                            1                           0   \n",
       "4                            1                           0   \n",
       "5                            2                           1   \n",
       "6                            1                           0   \n",
       "7                            2                           1   \n",
       "8                            1                           1   \n",
       "9                            2                           1   \n",
       "10                           1                           1   \n",
       "11                           0                           1   \n",
       "12                           2                           1   \n",
       "13                           2                           1   \n",
       "14                           1                           0   \n",
       "15                           2                           1   \n",
       "16                           1                           1   \n",
       "17                           1                           1   \n",
       "18                           1                           1   \n",
       "19                           2                           0   \n",
       "20                           0                           1   \n",
       "21                           1                           1   \n",
       "22                           1                           0   \n",
       "23                           1                           1   \n",
       "24                           1                           1   \n",
       "25                           1                           0   \n",
       "26                           1                           1   \n",
       "27                           0                           2   \n",
       "28                           1                           0   \n",
       "29                           2                           0   \n",
       "30                           1                           1   \n",
       "31                           2                           0   \n",
       "32                           1                           1   \n",
       "\n",
       "    CM004525.1_84072_84367_DEL  CM004525.1_110201_425053_DEL  \\\n",
       "0                            2                             0   \n",
       "1                            2                             1   \n",
       "2                            1                             1   \n",
       "3                            1                             1   \n",
       "4                            1                             1   \n",
       "5                            1                             0   \n",
       "6                            2                             1   \n",
       "7                            2                             1   \n",
       "8                            1                             1   \n",
       "9                            1                             1   \n",
       "10                           1                             1   \n",
       "11                           1                             0   \n",
       "12                           1                             1   \n",
       "13                           0                             1   \n",
       "14                           1                             0   \n",
       "15                           2                             1   \n",
       "16                           2                             1   \n",
       "17                           0                             1   \n",
       "18                           1                             2   \n",
       "19                           2                             1   \n",
       "20                           1                             0   \n",
       "21                           2                             1   \n",
       "22                           1                             0   \n",
       "23                           0                             0   \n",
       "24                           1                             1   \n",
       "25                           2                             1   \n",
       "26                           0                             1   \n",
       "27                           0                             1   \n",
       "28                           1                             0   \n",
       "29                           1                             0   \n",
       "30                           1                             1   \n",
       "31                           0                             1   \n",
       "32                           1                             0   \n",
       "\n",
       "    CM004525.1_116388_118179_DEL  CM004525.1_142504_144352_DEL  \\\n",
       "0                              0                             0   \n",
       "1                              2                             0   \n",
       "2                              2                             1   \n",
       "3                              0                             0   \n",
       "4                              2                             0   \n",
       "5                              2                             0   \n",
       "6                              1                             0   \n",
       "7                              0                             0   \n",
       "8                              0                             0   \n",
       "9                              2                             0   \n",
       "10                             0                             0   \n",
       "11                             2                             1   \n",
       "12                             0                             0   \n",
       "13                             2                             1   \n",
       "14                             0                             0   \n",
       "15                             2                             0   \n",
       "16                             2                             0   \n",
       "17                             2                             0   \n",
       "18                             2                             0   \n",
       "19                             1                             0   \n",
       "20                             2                             0   \n",
       "21                             2                             0   \n",
       "22                             2                             0   \n",
       "23                             2                             0   \n",
       "24                             0                             1   \n",
       "25                             2                             1   \n",
       "26                             1                             1   \n",
       "27                             2                             2   \n",
       "28                             0                             0   \n",
       "29                             2                             1   \n",
       "30                             2                             0   \n",
       "31                             2                             0   \n",
       "32                             2                             0   \n",
       "\n",
       "    CM004525.1_152957_153556_DEL  CM004525.1_192298_192672_DEL  ...  \\\n",
       "0                              2                             0  ...   \n",
       "1                              2                             0  ...   \n",
       "2                              2                             0  ...   \n",
       "3                              2                             0  ...   \n",
       "4                              2                             0  ...   \n",
       "5                              2                             0  ...   \n",
       "6                              2                             0  ...   \n",
       "7                              2                             1  ...   \n",
       "8                              2                             0  ...   \n",
       "9                              2                             2  ...   \n",
       "10                             2                             1  ...   \n",
       "11                             2                             0  ...   \n",
       "12                             2                             0  ...   \n",
       "13                             2                             0  ...   \n",
       "14                             2                             1  ...   \n",
       "15                             2                             0  ...   \n",
       "16                             2                             0  ...   \n",
       "17                             2                             0  ...   \n",
       "18                             2                             0  ...   \n",
       "19                             2                             0  ...   \n",
       "20                             2                             0  ...   \n",
       "21                             2                             0  ...   \n",
       "22                             2                             0  ...   \n",
       "23                             2                             0  ...   \n",
       "24                             2                             0  ...   \n",
       "25                             2                             0  ...   \n",
       "26                             2                             0  ...   \n",
       "27                             2                             0  ...   \n",
       "28                             2                             0  ...   \n",
       "29                             2                             0  ...   \n",
       "30                             2                             1  ...   \n",
       "31                             2                             0  ...   \n",
       "32                             2                             0  ...   \n",
       "\n",
       "    CM004554.1_3266132_3266820_DEL  CM004554.1_3272734_3274222_DEL  \\\n",
       "0                                0                               1   \n",
       "1                                2                               2   \n",
       "2                                2                               1   \n",
       "3                                2                               1   \n",
       "4                                0                               2   \n",
       "5                                2                               1   \n",
       "6                                2                               0   \n",
       "7                                2                               2   \n",
       "8                                2                               2   \n",
       "9                                2                               1   \n",
       "10                               2                               2   \n",
       "11                               0                               1   \n",
       "12                               2                               2   \n",
       "13                               0                               2   \n",
       "14                               2                               1   \n",
       "15                               2                               2   \n",
       "16                               2                               0   \n",
       "17                               2                               1   \n",
       "18                               2                               2   \n",
       "19                               2                               1   \n",
       "20                               2                               1   \n",
       "21                               2                               1   \n",
       "22                               0                               1   \n",
       "23                               2                               1   \n",
       "24                               2                               1   \n",
       "25                               2                               1   \n",
       "26                               2                               0   \n",
       "27                               2                               0   \n",
       "28                               0                               1   \n",
       "29                               2                               1   \n",
       "30                               2                               1   \n",
       "31                               0                               1   \n",
       "32                               2                               2   \n",
       "\n",
       "    CM004554.1_3272735_3274901_DEL  CM004554.1_3285689_3286800_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                0                               0   \n",
       "2                                0                               1   \n",
       "3                                0                               1   \n",
       "4                                2                               0   \n",
       "5                                0                               0   \n",
       "6                                1                               0   \n",
       "7                                0                               0   \n",
       "8                                1                               0   \n",
       "9                                0                               0   \n",
       "10                               1                               0   \n",
       "11                               1                               0   \n",
       "12                               1                               0   \n",
       "13                               1                               1   \n",
       "14                               1                               1   \n",
       "15                               0                               0   \n",
       "16                               1                               1   \n",
       "17                               1                               0   \n",
       "18                               0                               1   \n",
       "19                               1                               0   \n",
       "20                               1                               0   \n",
       "21                               0                               0   \n",
       "22                               0                               0   \n",
       "23                               1                               0   \n",
       "24                               0                               0   \n",
       "25                               1                               0   \n",
       "26                               1                               1   \n",
       "27                               1                               1   \n",
       "28                               1                               0   \n",
       "29                               1                               0   \n",
       "30                               1                               0   \n",
       "31                               1                               1   \n",
       "32                               1                               0   \n",
       "\n",
       "    CM004554.1_3293614_3294606_DEL  CM004554.1_3378163_3378562_DEL  \\\n",
       "0                                0                               0   \n",
       "1                                0                               2   \n",
       "2                                0                               2   \n",
       "3                                0                               2   \n",
       "4                                0                               0   \n",
       "5                                0                               0   \n",
       "6                                0                               0   \n",
       "7                                0                               0   \n",
       "8                                0                               2   \n",
       "9                                1                               0   \n",
       "10                               1                               2   \n",
       "11                               0                               2   \n",
       "12                               0                               0   \n",
       "13                               0                               2   \n",
       "14                               0                               2   \n",
       "15                               0                               2   \n",
       "16                               0                               0   \n",
       "17                               0                               0   \n",
       "18                               0                               2   \n",
       "19                               0                               2   \n",
       "20                               0                               2   \n",
       "21                               0                               2   \n",
       "22                               0                               2   \n",
       "23                               0                               0   \n",
       "24                               0                               2   \n",
       "25                               0                               2   \n",
       "26                               0                               2   \n",
       "27                               0                               0   \n",
       "28                               0                               2   \n",
       "29                               0                               2   \n",
       "30                               0                               0   \n",
       "31                               0                               2   \n",
       "32                               0                               2   \n",
       "\n",
       "    CM004554.1_3458698_3461289_DEL  CM004554.1_3461380_3466508_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                2                               0   \n",
       "2                                2                               0   \n",
       "3                                1                               2   \n",
       "4                                0                               0   \n",
       "5                                1                               2   \n",
       "6                                1                               0   \n",
       "7                                1                               0   \n",
       "8                                1                               1   \n",
       "9                                1                               1   \n",
       "10                               0                               0   \n",
       "11                               1                               2   \n",
       "12                               1                               2   \n",
       "13                               1                               2   \n",
       "14                               1                               1   \n",
       "15                               2                               0   \n",
       "16                               1                               2   \n",
       "17                               1                               2   \n",
       "18                               1                               1   \n",
       "19                               1                               1   \n",
       "20                               1                               0   \n",
       "21                               1                               1   \n",
       "22                               1                               0   \n",
       "23                               2                               0   \n",
       "24                               0                               2   \n",
       "25                               1                               0   \n",
       "26                               2                               2   \n",
       "27                               1                               0   \n",
       "28                               1                               2   \n",
       "29                               1                               2   \n",
       "30                               2                               2   \n",
       "31                               1                               0   \n",
       "32                               1                               0   \n",
       "\n",
       "    CM004554.1_3479906_3486030_DEL  CM004554.1_3514583_3515112_DEL  \n",
       "0                                2                               2  \n",
       "1                                2                               2  \n",
       "2                                2                               2  \n",
       "3                                2                               2  \n",
       "4                                2                               2  \n",
       "5                                2                               2  \n",
       "6                                2                               2  \n",
       "7                                2                               2  \n",
       "8                                2                               2  \n",
       "9                                2                               2  \n",
       "10                               2                               2  \n",
       "11                               2                               2  \n",
       "12                               2                               2  \n",
       "13                               2                               2  \n",
       "14                               2                               2  \n",
       "15                               2                               2  \n",
       "16                               2                               2  \n",
       "17                               2                               2  \n",
       "18                               2                               0  \n",
       "19                               2                               2  \n",
       "20                               2                               2  \n",
       "21                               2                               2  \n",
       "22                               2                               2  \n",
       "23                               2                               2  \n",
       "24                               2                               0  \n",
       "25                               2                               2  \n",
       "26                               2                               2  \n",
       "27                               2                               2  \n",
       "28                               2                               2  \n",
       "29                               2                               2  \n",
       "30                               2                               2  \n",
       "31                               2                               2  \n",
       "32                               2                               2  \n",
       "\n",
       "[33 rows x 13324 columns]"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"all_rejected_T.csv\")\n",
    "hs = pd.read_csv(\"HS.sample.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "X = df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ -5.64851414,  -2.10357183],\n",
       "       [  7.59257391,   9.35544119],\n",
       "       [ -8.45319533,  -5.56732117],\n",
       "       [  0.18307364,   6.38992641],\n",
       "       [-12.46771846, -14.02656617],\n",
       "       [  1.50378375,  12.7438843 ],\n",
       "       [-19.96539583, -25.14158337],\n",
       "       [-17.61881032,  11.64963536],\n",
       "       [ -6.27808581,  25.5382282 ],\n",
       "       [ -1.14302179,   4.40401731],\n",
       "       [-19.76294736, -17.72033644],\n",
       "       [ 26.15376027,  -5.31120463],\n",
       "       [ -6.63023738, -10.38657514],\n",
       "       [  4.67116074,  -3.30104382],\n",
       "       [ 26.01045054, -12.87188616],\n",
       "       [ -8.46631339, -14.45291766],\n",
       "       [ -2.21332919,   1.00479701],\n",
       "       [ -7.83205452,  -5.28914919],\n",
       "       [ -8.13897069,  -5.2666486 ],\n",
       "       [  0.53151832,  -6.74075771],\n",
       "       [ 23.41086122,  -2.39344653],\n",
       "       [  4.68980642,   5.91766271],\n",
       "       [ -5.62832409, -11.65559407],\n",
       "       [  2.23499981,   1.14159892],\n",
       "       [ -1.39314247,   0.89596383],\n",
       "       [  3.76410752,   2.96537856],\n",
       "       [ 32.71759108, -14.21507067],\n",
       "       [-14.67646404,  -3.63280734],\n",
       "       [ 23.24124363,  -1.01614166],\n",
       "       [ -2.28437965,  25.37208841],\n",
       "       [  1.86308483,  17.16501641],\n",
       "       [ -2.62483449,  19.63119127],\n",
       "       [ -7.34227673,  16.91779224]])"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=2)\n",
    "components = pca.fit_transform(X)\n",
    "\n",
    "components "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "pcomp = pd.DataFrame(components)\n",
    "\n",
    "merged = pd.concat([pcomp, hs], axis=1)\n",
    "\n",
    "merged['popinfo']\n",
    "PC1 = merged.iloc[:, 0]\n",
    "PC2 = merged.iloc[:, 1]\n",
    "\n",
    "merged_n = merged.rename(columns={0: 'PC1'})\n",
    "merged_new = merged_n.rename(columns={1: 'PC2'})\n",
    "\n",
    "merged2 =  merged_new.rename(columns={'popinfo': 'populations'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "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>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>populations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-5.648514</td>\n",
       "      <td>-2.103572</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.592574</td>\n",
       "      <td>9.355441</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-8.453195</td>\n",
       "      <td>-5.567321</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.183074</td>\n",
       "      <td>6.389926</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-12.467718</td>\n",
       "      <td>-14.026566</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.503784</td>\n",
       "      <td>12.743884</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-19.965396</td>\n",
       "      <td>-25.141583</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-17.618810</td>\n",
       "      <td>11.649635</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-6.278086</td>\n",
       "      <td>25.538228</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-1.143022</td>\n",
       "      <td>4.404017</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-19.762947</td>\n",
       "      <td>-17.720336</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>26.153760</td>\n",
       "      <td>-5.311205</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-6.630237</td>\n",
       "      <td>-10.386575</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.671161</td>\n",
       "      <td>-3.301044</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>26.010451</td>\n",
       "      <td>-12.871886</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-8.466313</td>\n",
       "      <td>-14.452918</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-2.213329</td>\n",
       "      <td>1.004797</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-7.832055</td>\n",
       "      <td>-5.289149</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-8.138971</td>\n",
       "      <td>-5.266649</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.531518</td>\n",
       "      <td>-6.740758</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23.410861</td>\n",
       "      <td>-2.393447</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4.689806</td>\n",
       "      <td>5.917663</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-5.628324</td>\n",
       "      <td>-11.655594</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2.235000</td>\n",
       "      <td>1.141599</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-1.393142</td>\n",
       "      <td>0.895964</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3.764108</td>\n",
       "      <td>2.965379</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>32.717591</td>\n",
       "      <td>-14.215071</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-14.676464</td>\n",
       "      <td>-3.632807</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23.241244</td>\n",
       "      <td>-1.016142</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-2.284380</td>\n",
       "      <td>25.372088</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1.863085</td>\n",
       "      <td>17.165016</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-2.624834</td>\n",
       "      <td>19.631191</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>-7.342277</td>\n",
       "      <td>16.917792</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PC1        PC2 populations\n",
       "0   -5.648514  -2.103572        ALTA\n",
       "1    7.592574   9.355441        ALTA\n",
       "2   -8.453195  -5.567321        HELG\n",
       "3    0.183074   6.389926        TRON\n",
       "4  -12.467718 -14.026566        TRON\n",
       "5    1.503784  12.743884        TRON\n",
       "6  -19.965396 -25.141583        HELG\n",
       "7  -17.618810  11.649635        PASV\n",
       "8   -6.278086  25.538228        PASV\n",
       "9   -1.143022   4.404017        TRON\n",
       "10 -19.762947 -17.720336        HELG\n",
       "11  26.153760  -5.311205        VEGA\n",
       "12  -6.630237 -10.386575        TRON\n",
       "13   4.671161  -3.301044        LEKA\n",
       "14  26.010451 -12.871886        VEGA\n",
       "15  -8.466313 -14.452918        HELG\n",
       "16  -2.213329   1.004797        HELG\n",
       "17  -7.832055  -5.289149        TRON\n",
       "18  -8.138971  -5.266649        TRON\n",
       "19   0.531518  -6.740758        VEGA\n",
       "20  23.410861  -2.393447        VEGA\n",
       "21   4.689806   5.917663        LEKA\n",
       "22  -5.628324 -11.655594        LEKA\n",
       "23   2.235000   1.141599        LEKA\n",
       "24  -1.393142   0.895964        TRON\n",
       "25   3.764108   2.965379        TRON\n",
       "26  32.717591 -14.215071   LEKAxVEGA\n",
       "27 -14.676464  -3.632807   LEKAxVEGA\n",
       "28  23.241244  -1.016142   LEKAxVEGA\n",
       "29  -2.284380  25.372088         FIN\n",
       "30   1.863085  17.165016         FIN\n",
       "31  -2.624834  19.631191         FIN\n",
       "32  -7.342277  16.917792         FIN"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\t\n",
    "# Set theme\n",
    "sns.set_style('darkgrid')\n",
    "\n",
    "colours = ['#78C850',  # Grass\n",
    "                    '#F08030',  # Fire\n",
    "                    '#EE99AC',  # Fairy\n",
    "                    '#F85888',  # Psychic\n",
    "                    '#B8A038',  # Rock\n",
    "                    '#705898',  # Ghost\n",
    "                    '#98D8D8',  # Ice\n",
    "                    '#7038F8',  # Dragon\n",
    "                   ]\n",
    "\t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f62b6ffb610>"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 670.625x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot\n",
    "import seaborn\n",
    "\n",
    "\n",
    "sns.relplot(x=\"PC1\", y=\"PC2\", data=merged2, hue=\"populations\", palette=colours, s=(150),height=8, aspect=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***PART 4. PLOT ALL UNCURATED SVs***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%%bash \n",
    "#set the SV class\n",
    "#SV=DEL\n",
    "\n",
    "#cat SV_altgenos.bed | grep \"${SV}\" > alluncurated.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat alluncurated.txt | sed 's/0\\/0/0/g' | sed 's/0\\/1/1/g' | sed 's/1\\/1/2/g'| sed 's/.\\/\\./0/g' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' | sed -e 's/[\\t ]\\+/_/' > alluncurated_edit.txt "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Convert to .csv for export to Python, to tranpose matrix***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat alluncurated_edit.txt  | sed 's/\\t/,/'g > alluncurated_edit.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"alluncurated_edit.csv\", header = None, index_col = None)\n",
    "df\n",
    "df_T = df.transpose()\n",
    "\n",
    "df_T.to_csv(\"alluncurated_T.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove first line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "sed -i -e 1,1d alluncurated_T.csv "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Now plot in Python!***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>CM004525.1_69685_70178_DEL</th>\n",
       "      <th>CM004525.1_70489_413631_DEL</th>\n",
       "      <th>CM004525.1_83292_83620_DEL</th>\n",
       "      <th>CM004525.1_83758_84400_DEL</th>\n",
       "      <th>CM004525.1_84072_84367_DEL</th>\n",
       "      <th>CM004525.1_110201_425053_DEL</th>\n",
       "      <th>CM004525.1_116388_118179_DEL</th>\n",
       "      <th>CM004525.1_142504_144352_DEL</th>\n",
       "      <th>CM004525.1_152957_153556_DEL</th>\n",
       "      <th>CM004525.1_192298_192672_DEL</th>\n",
       "      <th>...</th>\n",
       "      <th>CM004554.1_3266132_3266820_DEL</th>\n",
       "      <th>CM004554.1_3272734_3274222_DEL</th>\n",
       "      <th>CM004554.1_3272735_3274901_DEL</th>\n",
       "      <th>CM004554.1_3285689_3286800_DEL</th>\n",
       "      <th>CM004554.1_3293614_3294606_DEL</th>\n",
       "      <th>CM004554.1_3378163_3378562_DEL</th>\n",
       "      <th>CM004554.1_3458698_3461289_DEL</th>\n",
       "      <th>CM004554.1_3461380_3466508_DEL</th>\n",
       "      <th>CM004554.1_3479906_3486030_DEL</th>\n",
       "      <th>CM004554.1_3514583_3515112_DEL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33 rows × 15029 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    CM004525.1_69685_70178_DEL  CM004525.1_70489_413631_DEL  \\\n",
       "0                            0                            0   \n",
       "1                            0                            1   \n",
       "2                            0                            1   \n",
       "3                            1                            0   \n",
       "4                            0                            2   \n",
       "5                            0                            1   \n",
       "6                            0                            1   \n",
       "7                            0                            1   \n",
       "8                            0                            1   \n",
       "9                            1                            1   \n",
       "10                           0                            1   \n",
       "11                           1                            1   \n",
       "12                           0                            0   \n",
       "13                           0                            0   \n",
       "14                           0                            0   \n",
       "15                           0                            1   \n",
       "16                           0                            1   \n",
       "17                           0                            0   \n",
       "18                           0                            1   \n",
       "19                           0                            1   \n",
       "20                           0                            1   \n",
       "21                           1                            0   \n",
       "22                           0                            0   \n",
       "23                           0                            0   \n",
       "24                           0                            1   \n",
       "25                           0                            2   \n",
       "26                           0                            1   \n",
       "27                           1                            1   \n",
       "28                           0                            1   \n",
       "29                           0                            1   \n",
       "30                           0                            1   \n",
       "31                           0                            0   \n",
       "32                           0                            1   \n",
       "\n",
       "    CM004525.1_83292_83620_DEL  CM004525.1_83758_84400_DEL  \\\n",
       "0                            1                           1   \n",
       "1                            1                           1   \n",
       "2                            1                           1   \n",
       "3                            1                           0   \n",
       "4                            1                           0   \n",
       "5                            2                           1   \n",
       "6                            1                           0   \n",
       "7                            2                           1   \n",
       "8                            1                           1   \n",
       "9                            2                           1   \n",
       "10                           1                           1   \n",
       "11                           0                           1   \n",
       "12                           2                           1   \n",
       "13                           2                           1   \n",
       "14                           1                           0   \n",
       "15                           2                           1   \n",
       "16                           1                           1   \n",
       "17                           1                           1   \n",
       "18                           1                           1   \n",
       "19                           2                           0   \n",
       "20                           0                           1   \n",
       "21                           1                           1   \n",
       "22                           1                           0   \n",
       "23                           1                           1   \n",
       "24                           1                           1   \n",
       "25                           1                           0   \n",
       "26                           1                           1   \n",
       "27                           0                           2   \n",
       "28                           1                           0   \n",
       "29                           2                           0   \n",
       "30                           1                           1   \n",
       "31                           2                           0   \n",
       "32                           1                           1   \n",
       "\n",
       "    CM004525.1_84072_84367_DEL  CM004525.1_110201_425053_DEL  \\\n",
       "0                            2                             0   \n",
       "1                            2                             1   \n",
       "2                            1                             1   \n",
       "3                            1                             1   \n",
       "4                            1                             1   \n",
       "5                            1                             0   \n",
       "6                            2                             1   \n",
       "7                            2                             1   \n",
       "8                            1                             1   \n",
       "9                            1                             1   \n",
       "10                           1                             1   \n",
       "11                           1                             0   \n",
       "12                           1                             1   \n",
       "13                           0                             1   \n",
       "14                           1                             0   \n",
       "15                           2                             1   \n",
       "16                           2                             1   \n",
       "17                           0                             1   \n",
       "18                           1                             2   \n",
       "19                           2                             1   \n",
       "20                           1                             0   \n",
       "21                           2                             1   \n",
       "22                           1                             0   \n",
       "23                           0                             0   \n",
       "24                           1                             1   \n",
       "25                           2                             1   \n",
       "26                           0                             1   \n",
       "27                           0                             1   \n",
       "28                           1                             0   \n",
       "29                           1                             0   \n",
       "30                           1                             1   \n",
       "31                           0                             1   \n",
       "32                           1                             0   \n",
       "\n",
       "    CM004525.1_116388_118179_DEL  CM004525.1_142504_144352_DEL  \\\n",
       "0                              0                             0   \n",
       "1                              2                             0   \n",
       "2                              2                             1   \n",
       "3                              0                             0   \n",
       "4                              2                             0   \n",
       "5                              2                             0   \n",
       "6                              1                             0   \n",
       "7                              0                             0   \n",
       "8                              0                             0   \n",
       "9                              2                             0   \n",
       "10                             0                             0   \n",
       "11                             2                             1   \n",
       "12                             0                             0   \n",
       "13                             2                             1   \n",
       "14                             0                             0   \n",
       "15                             2                             0   \n",
       "16                             2                             0   \n",
       "17                             2                             0   \n",
       "18                             2                             0   \n",
       "19                             1                             0   \n",
       "20                             2                             0   \n",
       "21                             2                             0   \n",
       "22                             2                             0   \n",
       "23                             2                             0   \n",
       "24                             0                             1   \n",
       "25                             2                             1   \n",
       "26                             1                             1   \n",
       "27                             2                             2   \n",
       "28                             0                             0   \n",
       "29                             2                             1   \n",
       "30                             2                             0   \n",
       "31                             2                             0   \n",
       "32                             2                             0   \n",
       "\n",
       "    CM004525.1_152957_153556_DEL  CM004525.1_192298_192672_DEL  ...  \\\n",
       "0                              2                             0  ...   \n",
       "1                              2                             0  ...   \n",
       "2                              2                             0  ...   \n",
       "3                              2                             0  ...   \n",
       "4                              2                             0  ...   \n",
       "5                              2                             0  ...   \n",
       "6                              2                             0  ...   \n",
       "7                              2                             1  ...   \n",
       "8                              2                             0  ...   \n",
       "9                              2                             2  ...   \n",
       "10                             2                             1  ...   \n",
       "11                             2                             0  ...   \n",
       "12                             2                             0  ...   \n",
       "13                             2                             0  ...   \n",
       "14                             2                             1  ...   \n",
       "15                             2                             0  ...   \n",
       "16                             2                             0  ...   \n",
       "17                             2                             0  ...   \n",
       "18                             2                             0  ...   \n",
       "19                             2                             0  ...   \n",
       "20                             2                             0  ...   \n",
       "21                             2                             0  ...   \n",
       "22                             2                             0  ...   \n",
       "23                             2                             0  ...   \n",
       "24                             2                             0  ...   \n",
       "25                             2                             0  ...   \n",
       "26                             2                             0  ...   \n",
       "27                             2                             0  ...   \n",
       "28                             2                             0  ...   \n",
       "29                             2                             0  ...   \n",
       "30                             2                             1  ...   \n",
       "31                             2                             0  ...   \n",
       "32                             2                             0  ...   \n",
       "\n",
       "    CM004554.1_3266132_3266820_DEL  CM004554.1_3272734_3274222_DEL  \\\n",
       "0                                0                               1   \n",
       "1                                2                               2   \n",
       "2                                2                               1   \n",
       "3                                2                               1   \n",
       "4                                0                               2   \n",
       "5                                2                               1   \n",
       "6                                2                               0   \n",
       "7                                2                               2   \n",
       "8                                2                               2   \n",
       "9                                2                               1   \n",
       "10                               2                               2   \n",
       "11                               0                               1   \n",
       "12                               2                               2   \n",
       "13                               0                               2   \n",
       "14                               2                               1   \n",
       "15                               2                               2   \n",
       "16                               2                               0   \n",
       "17                               2                               1   \n",
       "18                               2                               2   \n",
       "19                               2                               1   \n",
       "20                               2                               1   \n",
       "21                               2                               1   \n",
       "22                               0                               1   \n",
       "23                               2                               1   \n",
       "24                               2                               1   \n",
       "25                               2                               1   \n",
       "26                               2                               0   \n",
       "27                               2                               0   \n",
       "28                               0                               1   \n",
       "29                               2                               1   \n",
       "30                               2                               1   \n",
       "31                               0                               1   \n",
       "32                               2                               2   \n",
       "\n",
       "    CM004554.1_3272735_3274901_DEL  CM004554.1_3285689_3286800_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                0                               0   \n",
       "2                                0                               1   \n",
       "3                                0                               1   \n",
       "4                                2                               0   \n",
       "5                                0                               0   \n",
       "6                                1                               0   \n",
       "7                                0                               0   \n",
       "8                                1                               0   \n",
       "9                                0                               0   \n",
       "10                               1                               0   \n",
       "11                               1                               0   \n",
       "12                               1                               0   \n",
       "13                               1                               1   \n",
       "14                               1                               1   \n",
       "15                               0                               0   \n",
       "16                               1                               1   \n",
       "17                               1                               0   \n",
       "18                               0                               1   \n",
       "19                               1                               0   \n",
       "20                               1                               0   \n",
       "21                               0                               0   \n",
       "22                               0                               0   \n",
       "23                               1                               0   \n",
       "24                               0                               0   \n",
       "25                               1                               0   \n",
       "26                               1                               1   \n",
       "27                               1                               1   \n",
       "28                               1                               0   \n",
       "29                               1                               0   \n",
       "30                               1                               0   \n",
       "31                               1                               1   \n",
       "32                               1                               0   \n",
       "\n",
       "    CM004554.1_3293614_3294606_DEL  CM004554.1_3378163_3378562_DEL  \\\n",
       "0                                0                               0   \n",
       "1                                0                               2   \n",
       "2                                0                               2   \n",
       "3                                0                               2   \n",
       "4                                0                               0   \n",
       "5                                0                               0   \n",
       "6                                0                               0   \n",
       "7                                0                               0   \n",
       "8                                0                               2   \n",
       "9                                1                               0   \n",
       "10                               1                               2   \n",
       "11                               0                               2   \n",
       "12                               0                               0   \n",
       "13                               0                               2   \n",
       "14                               0                               2   \n",
       "15                               0                               2   \n",
       "16                               0                               0   \n",
       "17                               0                               0   \n",
       "18                               0                               2   \n",
       "19                               0                               2   \n",
       "20                               0                               2   \n",
       "21                               0                               2   \n",
       "22                               0                               2   \n",
       "23                               0                               0   \n",
       "24                               0                               2   \n",
       "25                               0                               2   \n",
       "26                               0                               2   \n",
       "27                               0                               0   \n",
       "28                               0                               2   \n",
       "29                               0                               2   \n",
       "30                               0                               0   \n",
       "31                               0                               2   \n",
       "32                               0                               2   \n",
       "\n",
       "    CM004554.1_3458698_3461289_DEL  CM004554.1_3461380_3466508_DEL  \\\n",
       "0                                1                               0   \n",
       "1                                2                               0   \n",
       "2                                2                               0   \n",
       "3                                1                               2   \n",
       "4                                0                               0   \n",
       "5                                1                               2   \n",
       "6                                1                               0   \n",
       "7                                1                               0   \n",
       "8                                1                               1   \n",
       "9                                1                               1   \n",
       "10                               0                               0   \n",
       "11                               1                               2   \n",
       "12                               1                               2   \n",
       "13                               1                               2   \n",
       "14                               1                               1   \n",
       "15                               2                               0   \n",
       "16                               1                               2   \n",
       "17                               1                               2   \n",
       "18                               1                               1   \n",
       "19                               1                               1   \n",
       "20                               1                               0   \n",
       "21                               1                               1   \n",
       "22                               1                               0   \n",
       "23                               2                               0   \n",
       "24                               0                               2   \n",
       "25                               1                               0   \n",
       "26                               2                               2   \n",
       "27                               1                               0   \n",
       "28                               1                               2   \n",
       "29                               1                               2   \n",
       "30                               2                               2   \n",
       "31                               1                               0   \n",
       "32                               1                               0   \n",
       "\n",
       "    CM004554.1_3479906_3486030_DEL  CM004554.1_3514583_3515112_DEL  \n",
       "0                                2                               2  \n",
       "1                                2                               2  \n",
       "2                                2                               2  \n",
       "3                                2                               2  \n",
       "4                                2                               2  \n",
       "5                                2                               2  \n",
       "6                                2                               2  \n",
       "7                                2                               2  \n",
       "8                                2                               2  \n",
       "9                                2                               2  \n",
       "10                               2                               2  \n",
       "11                               2                               2  \n",
       "12                               2                               2  \n",
       "13                               2                               2  \n",
       "14                               2                               2  \n",
       "15                               2                               2  \n",
       "16                               2                               2  \n",
       "17                               2                               2  \n",
       "18                               2                               0  \n",
       "19                               2                               2  \n",
       "20                               2                               2  \n",
       "21                               2                               2  \n",
       "22                               2                               2  \n",
       "23                               2                               2  \n",
       "24                               2                               0  \n",
       "25                               2                               2  \n",
       "26                               2                               2  \n",
       "27                               2                               2  \n",
       "28                               2                               2  \n",
       "29                               2                               2  \n",
       "30                               2                               2  \n",
       "31                               2                               2  \n",
       "32                               2                               2  \n",
       "\n",
       "[33 rows x 15029 columns]"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"alluncurated_T.csv\")\n",
    "hs = pd.read_csv(\"HS.sample.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "X = df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ -4.99113414,  -2.08109144],\n",
       "       [  2.66682116,   5.17490156],\n",
       "       [ -5.72486344,  -8.81518307],\n",
       "       [ -2.2867995 ,   3.18430283],\n",
       "       [ -8.53108822, -13.60433439],\n",
       "       [ -1.97486321,   8.65130207],\n",
       "       [-13.02651829, -24.00456298],\n",
       "       [-18.80341021,  13.66720841],\n",
       "       [-13.48861583,  29.90787775],\n",
       "       [ -2.33641664,   7.140431  ],\n",
       "       [-16.56067827, -21.94925576],\n",
       "       [ 33.32626501,   2.97453905],\n",
       "       [ -3.69451973, -11.87993553],\n",
       "       [  5.23072471,  -6.34745614],\n",
       "       [ 31.07768568,  -7.80313815],\n",
       "       [ -7.52194491, -20.40707973],\n",
       "       [ -2.47128776,  -1.71749122],\n",
       "       [ -8.38091179,  -3.2784698 ],\n",
       "       [ -8.49863712,  -7.91345611],\n",
       "       [  2.12648635, -11.75894833],\n",
       "       [ 26.44503269,   7.04585498],\n",
       "       [  1.40820639,   3.44176659],\n",
       "       [ -2.66493381, -16.40291678],\n",
       "       [  1.96840103,  -0.15674034],\n",
       "       [ -3.661055  ,  -4.11746143],\n",
       "       [  0.63100419,   0.23089374],\n",
       "       [ 41.11703983,  -4.25076215],\n",
       "       [-15.23832315,  -9.58702484],\n",
       "       [ 24.80562356,   7.63205244],\n",
       "       [ -8.95930236,  25.39700966],\n",
       "       [ -3.21429557,  22.84832692],\n",
       "       [ -6.87085071,  18.26271929],\n",
       "       [-11.90284092,  20.51612191]])"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=2)\n",
    "components = pca.fit_transform(X)\n",
    "\n",
    "components "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "pcomp = pd.DataFrame(components)\n",
    "\n",
    "merged = pd.concat([pcomp, hs], axis=1)\n",
    "\n",
    "merged['popinfo']\n",
    "PC1 = merged.iloc[:, 0]\n",
    "PC2 = merged.iloc[:, 1]\n",
    "\n",
    "merged_n = merged.rename(columns={0: 'PC1'})\n",
    "merged_new = merged_n.rename(columns={1: 'PC2'})\n",
    "\n",
    "merged2 =  merged_new.rename(columns={'popinfo': 'populations'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "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>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>populations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-4.991134</td>\n",
       "      <td>-2.081091</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.666821</td>\n",
       "      <td>5.174902</td>\n",
       "      <td>ALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-5.724863</td>\n",
       "      <td>-8.815183</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-2.286799</td>\n",
       "      <td>3.184303</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-8.531088</td>\n",
       "      <td>-13.604334</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-1.974863</td>\n",
       "      <td>8.651302</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-13.026518</td>\n",
       "      <td>-24.004563</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-18.803410</td>\n",
       "      <td>13.667208</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-13.488616</td>\n",
       "      <td>29.907878</td>\n",
       "      <td>PASV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-2.336417</td>\n",
       "      <td>7.140431</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-16.560678</td>\n",
       "      <td>-21.949256</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>33.326265</td>\n",
       "      <td>2.974539</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-3.694520</td>\n",
       "      <td>-11.879936</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5.230725</td>\n",
       "      <td>-6.347456</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>31.077686</td>\n",
       "      <td>-7.803138</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-7.521945</td>\n",
       "      <td>-20.407080</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-2.471288</td>\n",
       "      <td>-1.717491</td>\n",
       "      <td>HELG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-8.380912</td>\n",
       "      <td>-3.278470</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-8.498637</td>\n",
       "      <td>-7.913456</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2.126486</td>\n",
       "      <td>-11.758948</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>26.445033</td>\n",
       "      <td>7.045855</td>\n",
       "      <td>VEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.408206</td>\n",
       "      <td>3.441767</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-2.664934</td>\n",
       "      <td>-16.402917</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1.968401</td>\n",
       "      <td>-0.156740</td>\n",
       "      <td>LEKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-3.661055</td>\n",
       "      <td>-4.117461</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.631004</td>\n",
       "      <td>0.230894</td>\n",
       "      <td>TRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>41.117040</td>\n",
       "      <td>-4.250762</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-15.238323</td>\n",
       "      <td>-9.587025</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>24.805624</td>\n",
       "      <td>7.632052</td>\n",
       "      <td>LEKAxVEGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-8.959302</td>\n",
       "      <td>25.397010</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-3.214296</td>\n",
       "      <td>22.848327</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-6.870851</td>\n",
       "      <td>18.262719</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>-11.902841</td>\n",
       "      <td>20.516122</td>\n",
       "      <td>FIN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PC1        PC2 populations\n",
       "0   -4.991134  -2.081091        ALTA\n",
       "1    2.666821   5.174902        ALTA\n",
       "2   -5.724863  -8.815183        HELG\n",
       "3   -2.286799   3.184303        TRON\n",
       "4   -8.531088 -13.604334        TRON\n",
       "5   -1.974863   8.651302        TRON\n",
       "6  -13.026518 -24.004563        HELG\n",
       "7  -18.803410  13.667208        PASV\n",
       "8  -13.488616  29.907878        PASV\n",
       "9   -2.336417   7.140431        TRON\n",
       "10 -16.560678 -21.949256        HELG\n",
       "11  33.326265   2.974539        VEGA\n",
       "12  -3.694520 -11.879936        TRON\n",
       "13   5.230725  -6.347456        LEKA\n",
       "14  31.077686  -7.803138        VEGA\n",
       "15  -7.521945 -20.407080        HELG\n",
       "16  -2.471288  -1.717491        HELG\n",
       "17  -8.380912  -3.278470        TRON\n",
       "18  -8.498637  -7.913456        TRON\n",
       "19   2.126486 -11.758948        VEGA\n",
       "20  26.445033   7.045855        VEGA\n",
       "21   1.408206   3.441767        LEKA\n",
       "22  -2.664934 -16.402917        LEKA\n",
       "23   1.968401  -0.156740        LEKA\n",
       "24  -3.661055  -4.117461        TRON\n",
       "25   0.631004   0.230894        TRON\n",
       "26  41.117040  -4.250762   LEKAxVEGA\n",
       "27 -15.238323  -9.587025   LEKAxVEGA\n",
       "28  24.805624   7.632052   LEKAxVEGA\n",
       "29  -8.959302  25.397010         FIN\n",
       "30  -3.214296  22.848327         FIN\n",
       "31  -6.870851  18.262719         FIN\n",
       "32 -11.902841  20.516122         FIN"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\t\n",
    "# Set theme\n",
    "sns.set_style('darkgrid')\n",
    "\n",
    "colours = ['#78C850',  # Grass\n",
    "                    '#F08030',  # Fire\n",
    "                    '#EE99AC',  # Fairy\n",
    "                    '#F85888',  # Psychic\n",
    "                    '#B8A038',  # Rock\n",
    "                    '#705898',  # Ghost\n",
    "                    '#98D8D8',  # Ice\n",
    "                    '#7038F8',  # Dragon\n",
    "                   ]\n",
    "\t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f62b7012a90>"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 670.625x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot\n",
    "import seaborn\n",
    "\n",
    "\n",
    "sns.relplot(x=\"PC1\", y=\"PC2\", data=merged2, hue=\"populations\", palette=colours, s=(150),height=8, aspect=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}