phage_ratio.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7d0dddfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import figure\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e8e501d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>2.606444</td>\n",
       "      <td>2.953885</td>\n",
       "      <td>0.882378</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>0.073425</td>\n",
       "      <td>0.101819</td>\n",
       "      <td>0.721134</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>1.028298</td>\n",
       "      <td>2.875982</td>\n",
       "      <td>0.357547</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>3.345088</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>16.631866</td>\n",
       "      <td>10.783060</td>\n",
       "      <td>1.542407</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>NEMO50</td>\n",
       "      <td>1.067916</td>\n",
       "      <td>0.998846</td>\n",
       "      <td>1.069150</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>5.010867</td>\n",
       "      <td>3.278520</td>\n",
       "      <td>1.528393</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>2.656743</td>\n",
       "      <td>3.688188</td>\n",
       "      <td>0.720338</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>8.749780</td>\n",
       "      <td>4.701102</td>\n",
       "      <td>1.861219</td>\n",
       "      <td>&gt;1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>0.267686</td>\n",
       "      <td>0.858332</td>\n",
       "      <td>0.311868</td>\n",
       "      <td>&lt;1.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>197 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample      phage   nonphage     ratio  color\n",
       "0    MEMO001   2.606444   2.953885  0.882378  <1.75\n",
       "1    MEMO002   0.073425   0.101819  0.721134  <1.75\n",
       "2    MEMO003   1.028298   2.875982  0.357547  <1.75\n",
       "3    MEMO004   0.002841   3.345088  0.000849  <1.75\n",
       "4    MEMO005  16.631866  10.783060  1.542407  <1.75\n",
       "..       ...        ...        ...       ...    ...\n",
       "192   NEMO50   1.067916   0.998846  1.069150  <1.75\n",
       "193   NEMO51   5.010867   3.278520  1.528393  <1.75\n",
       "194   NEMO52   2.656743   3.688188  0.720338  <1.75\n",
       "195   NEMO53   8.749780   4.701102  1.861219  >1.75\n",
       "196   NEMO54   0.267686   0.858332  0.311868  <1.75\n",
       "\n",
       "[197 rows x 5 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(\"data/wolbachia_phage_ratio.tsv\", sep=\"\\t\", header=0)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "704cc43d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "      <th>bool</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>2.606444</td>\n",
       "      <td>2.953885</td>\n",
       "      <td>0.882378</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>0.073425</td>\n",
       "      <td>0.101819</td>\n",
       "      <td>0.721134</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>1.028298</td>\n",
       "      <td>2.875982</td>\n",
       "      <td>0.357547</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>3.345088</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>16.631866</td>\n",
       "      <td>10.783060</td>\n",
       "      <td>1.542407</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>NEMO50</td>\n",
       "      <td>1.067916</td>\n",
       "      <td>0.998846</td>\n",
       "      <td>1.069150</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>5.010867</td>\n",
       "      <td>3.278520</td>\n",
       "      <td>1.528393</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>2.656743</td>\n",
       "      <td>3.688188</td>\n",
       "      <td>0.720338</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>8.749780</td>\n",
       "      <td>4.701102</td>\n",
       "      <td>1.861219</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>0.267686</td>\n",
       "      <td>0.858332</td>\n",
       "      <td>0.311868</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>197 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample      phage   nonphage     ratio     color   bool\n",
       "0    MEMO001   2.606444   2.953885  0.882378  Prophage  False\n",
       "1    MEMO002   0.073425   0.101819  0.721134  Prophage  False\n",
       "2    MEMO003   1.028298   2.875982  0.357547  Prophage  False\n",
       "3    MEMO004   0.002841   3.345088  0.000849  Prophage  False\n",
       "4    MEMO005  16.631866  10.783060  1.542407  Prophage  False\n",
       "..       ...        ...        ...       ...       ...    ...\n",
       "192   NEMO50   1.067916   0.998846  1.069150  Prophage  False\n",
       "193   NEMO51   5.010867   3.278520  1.528393  Prophage  False\n",
       "194   NEMO52   2.656743   3.688188  0.720338  Prophage  False\n",
       "195   NEMO53   8.749780   4.701102  1.861219  Prophage  False\n",
       "196   NEMO54   0.267686   0.858332  0.311868  Prophage  False\n",
       "\n",
       "[197 rows x 6 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['bool']=df['ratio']>4\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d69a70ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>2.606444</td>\n",
       "      <td>2.953885</td>\n",
       "      <td>0.882378</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>0.073425</td>\n",
       "      <td>0.101819</td>\n",
       "      <td>0.721134</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>1.028298</td>\n",
       "      <td>2.875982</td>\n",
       "      <td>0.357547</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>3.345088</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>16.631866</td>\n",
       "      <td>10.783060</td>\n",
       "      <td>1.542407</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>NEMO50</td>\n",
       "      <td>1.067916</td>\n",
       "      <td>0.998846</td>\n",
       "      <td>1.069150</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>5.010867</td>\n",
       "      <td>3.278520</td>\n",
       "      <td>1.528393</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>2.656743</td>\n",
       "      <td>3.688188</td>\n",
       "      <td>0.720338</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>8.749780</td>\n",
       "      <td>4.701102</td>\n",
       "      <td>1.861219</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>0.267686</td>\n",
       "      <td>0.858332</td>\n",
       "      <td>0.311868</td>\n",
       "      <td>Prophage</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>197 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample      phage   nonphage     ratio     color\n",
       "0    MEMO001   2.606444   2.953885  0.882378  Prophage\n",
       "1    MEMO002   0.073425   0.101819  0.721134  Prophage\n",
       "2    MEMO003   1.028298   2.875982  0.357547  Prophage\n",
       "3    MEMO004   0.002841   3.345088  0.000849  Prophage\n",
       "4    MEMO005  16.631866  10.783060  1.542407  Prophage\n",
       "..       ...        ...        ...       ...       ...\n",
       "192   NEMO50   1.067916   0.998846  1.069150  Prophage\n",
       "193   NEMO51   5.010867   3.278520  1.528393  Prophage\n",
       "194   NEMO52   2.656743   3.688188  0.720338  Prophage\n",
       "195   NEMO53   8.749780   4.701102  1.861219  Prophage\n",
       "196   NEMO54   0.267686   0.858332  0.311868  Prophage\n",
       "\n",
       "[197 rows x 5 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = {True:'Real phage particle?', False:'Prophage'}\n",
    "df['color'] = df['bool'].map(temp)\n",
    "df.drop('bool', axis=1, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "926913b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>PCR_Subspecies</th>\n",
       "      <th>SKA_Subspecies</th>\n",
       "      <th>Species</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Location</th>\n",
       "      <th>Control</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>Municipality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO50</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample         PCR_Subspecies         SKA_Subspecies           Species  \\\n",
       "0    MEMO001  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "1    MEMO002  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "2    MEMO003  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "3    MEMO004       Culex torrentium       Culex torrentium  Culex torrentium   \n",
       "4    MEMO005  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "..       ...                    ...                    ...               ...   \n",
       "193   NEMO50  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "194   NEMO51  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "195   NEMO52  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "196   NEMO53  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "197   NEMO54  Culex pipiens pipiens  Culex pipiens pipiens     Culex pipiens   \n",
       "\n",
       "        Sex Location Control         lat       long  Municipality  \n",
       "0    female       MM      No  50.995.194  5.621.833  Maasmechelen  \n",
       "1    female       MM      No  50.995.194  5.621.833  Maasmechelen  \n",
       "2    female       MM      No  50.995.194  5.621.833  Maasmechelen  \n",
       "3    female       MM      No  50.995.194  5.621.833  Maasmechelen  \n",
       "4    female       MM      No  50.995.194  5.621.833  Maasmechelen  \n",
       "..      ...      ...     ...         ...        ...           ...  \n",
       "193  female   Bertem      No  50.865.688  4.630.034        Bertem  \n",
       "194  female   Bertem      No  50.865.688  4.630.034        Bertem  \n",
       "195  female   Bertem      No  50.865.688  4.630.034        Bertem  \n",
       "196  female   Bertem      No  50.865.688  4.630.034        Bertem  \n",
       "197  female   Bertem      No  50.865.688  4.630.034        Bertem  \n",
       "\n",
       "[198 rows x 10 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta=pd.read_csv(\"data/BEmosq_metadata.csv\", sep=\";\", header=0)\n",
    "meta.drop(meta[meta.Species == 'control'].index, inplace=True)\n",
    "meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2e1f638b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "      <th>PCR_Subspecies</th>\n",
       "      <th>SKA_Subspecies</th>\n",
       "      <th>Species</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Location</th>\n",
       "      <th>Control</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>Municipality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>2.606444</td>\n",
       "      <td>2.953885</td>\n",
       "      <td>0.882378</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>0.073425</td>\n",
       "      <td>0.101819</td>\n",
       "      <td>0.721134</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>1.028298</td>\n",
       "      <td>2.875982</td>\n",
       "      <td>0.357547</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>3.345088</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>16.631866</td>\n",
       "      <td>10.783060</td>\n",
       "      <td>1.542407</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>5.010867</td>\n",
       "      <td>3.278520</td>\n",
       "      <td>1.528393</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>2.656743</td>\n",
       "      <td>3.688188</td>\n",
       "      <td>0.720338</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>8.749780</td>\n",
       "      <td>4.701102</td>\n",
       "      <td>1.861219</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>0.267686</td>\n",
       "      <td>0.858332</td>\n",
       "      <td>0.311868</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>NEMO39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Arenberg park</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865</td>\n",
       "      <td>4.669</td>\n",
       "      <td>Leuven</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample      phage   nonphage     ratio     color         PCR_Subspecies  \\\n",
       "0    MEMO001   2.606444   2.953885  0.882378  Prophage  Culex pipiens pipiens   \n",
       "1    MEMO002   0.073425   0.101819  0.721134  Prophage  Culex pipiens pipiens   \n",
       "2    MEMO003   1.028298   2.875982  0.357547  Prophage  Culex pipiens pipiens   \n",
       "3    MEMO004   0.002841   3.345088  0.000849  Prophage       Culex torrentium   \n",
       "4    MEMO005  16.631866  10.783060  1.542407  Prophage  Culex pipiens pipiens   \n",
       "..       ...        ...        ...       ...       ...                    ...   \n",
       "193   NEMO51   5.010867   3.278520  1.528393  Prophage  Culex pipiens pipiens   \n",
       "194   NEMO52   2.656743   3.688188  0.720338  Prophage  Culex pipiens pipiens   \n",
       "195   NEMO53   8.749780   4.701102  1.861219  Prophage  Culex pipiens pipiens   \n",
       "196   NEMO54   0.267686   0.858332  0.311868  Prophage  Culex pipiens pipiens   \n",
       "197   NEMO39        NaN        NaN       NaN       NaN  Culex pipiens pipiens   \n",
       "\n",
       "            SKA_Subspecies           Species     Sex       Location Control  \\\n",
       "0    Culex pipiens pipiens     Culex pipiens  female             MM      No   \n",
       "1    Culex pipiens pipiens     Culex pipiens  female             MM      No   \n",
       "2    Culex pipiens pipiens     Culex pipiens  female             MM      No   \n",
       "3         Culex torrentium  Culex torrentium  female             MM      No   \n",
       "4    Culex pipiens pipiens     Culex pipiens  female             MM      No   \n",
       "..                     ...               ...     ...            ...     ...   \n",
       "193  Culex pipiens pipiens     Culex pipiens  female         Bertem      No   \n",
       "194  Culex pipiens pipiens     Culex pipiens  female         Bertem      No   \n",
       "195  Culex pipiens pipiens     Culex pipiens  female         Bertem      No   \n",
       "196  Culex pipiens pipiens     Culex pipiens  female         Bertem      No   \n",
       "197  Culex pipiens pipiens     Culex pipiens  female  Arenberg park      No   \n",
       "\n",
       "            lat       long  Municipality  \n",
       "0    50.995.194  5.621.833  Maasmechelen  \n",
       "1    50.995.194  5.621.833  Maasmechelen  \n",
       "2    50.995.194  5.621.833  Maasmechelen  \n",
       "3    50.995.194  5.621.833  Maasmechelen  \n",
       "4    50.995.194  5.621.833  Maasmechelen  \n",
       "..          ...        ...           ...  \n",
       "193  50.865.688  4.630.034        Bertem  \n",
       "194  50.865.688  4.630.034        Bertem  \n",
       "195  50.865.688  4.630.034        Bertem  \n",
       "196  50.865.688  4.630.034        Bertem  \n",
       "197      50.865      4.669        Leuven  \n",
       "\n",
       "[198 rows x 14 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratiodf=pd.merge(df, meta, on=\"Sample\", how=\"outer\")\n",
    "ratiodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "78afa320",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "      <th>PCR_Subspecies</th>\n",
       "      <th>SKA_Subspecies</th>\n",
       "      <th>Species</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Location</th>\n",
       "      <th>Control</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>Municipality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MEMO025</td>\n",
       "      <td>12.241615</td>\n",
       "      <td>4.847405</td>\n",
       "      <td>2.525395</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.556</td>\n",
       "      <td>6.073.283</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>MEMO043</td>\n",
       "      <td>11.494711</td>\n",
       "      <td>2.790352</td>\n",
       "      <td>4.119448</td>\n",
       "      <td>Real phage particle?</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>MEMO059</td>\n",
       "      <td>17.588757</td>\n",
       "      <td>6.652177</td>\n",
       "      <td>2.644060</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AT</td>\n",
       "      <td>No</td>\n",
       "      <td>51.213.647</td>\n",
       "      <td>4.192.997</td>\n",
       "      <td>Vrasene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>MEMO095</td>\n",
       "      <td>8.881901</td>\n",
       "      <td>3.265434</td>\n",
       "      <td>2.719976</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens potential hybrid</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>MEMO105</td>\n",
       "      <td>14.387549</td>\n",
       "      <td>5.442591</td>\n",
       "      <td>2.643511</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>MEMO127</td>\n",
       "      <td>248.494827</td>\n",
       "      <td>87.872828</td>\n",
       "      <td>2.827892</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>MEMO129</td>\n",
       "      <td>157.101770</td>\n",
       "      <td>54.098651</td>\n",
       "      <td>2.903987</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>MEMO134</td>\n",
       "      <td>35.539954</td>\n",
       "      <td>12.969168</td>\n",
       "      <td>2.740342</td>\n",
       "      <td>Prophage</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample       phage   nonphage     ratio                 color  \\\n",
       "22   MEMO025   12.241615   4.847405  2.525395              Prophage   \n",
       "40   MEMO043   11.494711   2.790352  4.119448  Real phage particle?   \n",
       "55   MEMO059   17.588757   6.652177  2.644060              Prophage   \n",
       "90   MEMO095    8.881901   3.265434  2.719976              Prophage   \n",
       "100  MEMO105   14.387549   5.442591  2.643511              Prophage   \n",
       "121  MEMO127  248.494827  87.872828  2.827892              Prophage   \n",
       "123  MEMO129  157.101770  54.098651  2.903987              Prophage   \n",
       "128  MEMO134   35.539954  12.969168  2.740342              Prophage   \n",
       "\n",
       "                     PCR_Subspecies         SKA_Subspecies        Species  \\\n",
       "22            Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "40            Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "55            Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "90   Culex pipiens potential hybrid  Culex pipiens pipiens  Culex pipiens   \n",
       "100           Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "121           Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "123           Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "128           Culex pipiens pipiens  Culex pipiens pipiens  Culex pipiens   \n",
       "\n",
       "        Sex Location Control         lat       long         Municipality  \n",
       "22   female       EU      No  50.632.556  6.073.283                Eupen  \n",
       "40   female       MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "55   female       AT      No  51.213.647  4.192.997              Vrasene  \n",
       "90   female       VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "100  female       EU      No  50.632.586  6.072.753                Eupen  \n",
       "121    male       MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "123    male       EU      No  50.632.586  6.072.753                Eupen  \n",
       "128  female       VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratiodf[ratiodf.ratio>2.5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "af0bcab7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2400x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(8, 6), dpi=300)\n",
    "p=sns.swarmplot(data=ratiodf, y='ratio', hue='color', x='SKA_Subspecies')\n",
    "p.set(xlabel=None, ylabel='Ratio\\n$(average\\ depth\\ phage/average\\ depth\\ nonphage$)')\n",
    "p.set_xticklabels(labels=ratiodf['SKA_Subspecies'].unique(), fontstyle =\"italic\")\n",
    "p.legend(frameon=False).set_title(None)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/phage_ratio.pdf\", bbox_inches=\"tight\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c7a49eb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(8, 6), dpi=300)\n",
    "fig=sns.swarmplot(data=ratiodf, y='ratio', hue='SKA_Subspecies', x=[\"\"]*len(ratiodf))\n",
    "ax=fig.legend(frameon=False)\n",
    "ax.set_title(None)\n",
    "for text in ax.get_texts():\n",
    "    text.set_fontstyle(\"italic\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "acc0cd07",
   "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>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "      <th>PCR_Subspecies</th>\n",
       "      <th>SKA_Subspecies</th>\n",
       "      <th>Species</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Location</th>\n",
       "      <th>Control</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>Municipality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MEMO010</td>\n",
       "      <td>7.446639</td>\n",
       "      <td>3.520916</td>\n",
       "      <td>2.114972</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.194</td>\n",
       "      <td>5.621.833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>MEMO012</td>\n",
       "      <td>7.797806</td>\n",
       "      <td>3.897208</td>\n",
       "      <td>2.000870</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.556</td>\n",
       "      <td>6.073.283</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MEMO025</td>\n",
       "      <td>12.241615</td>\n",
       "      <td>4.847405</td>\n",
       "      <td>2.525395</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.556</td>\n",
       "      <td>6.073.283</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>MEMO026</td>\n",
       "      <td>30.785941</td>\n",
       "      <td>15.254449</td>\n",
       "      <td>2.018161</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.556</td>\n",
       "      <td>6.073.283</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>MEMO027</td>\n",
       "      <td>9.609877</td>\n",
       "      <td>4.523121</td>\n",
       "      <td>2.124612</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.556</td>\n",
       "      <td>6.073.283</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>MEMO039</td>\n",
       "      <td>20.194609</td>\n",
       "      <td>9.899338</td>\n",
       "      <td>2.039996</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>MEMO040</td>\n",
       "      <td>7.247657</td>\n",
       "      <td>3.002815</td>\n",
       "      <td>2.413621</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>MEMO041</td>\n",
       "      <td>18.436677</td>\n",
       "      <td>7.792295</td>\n",
       "      <td>2.366014</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>MEMO043</td>\n",
       "      <td>11.494711</td>\n",
       "      <td>2.790352</td>\n",
       "      <td>4.119448</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>MEMO050</td>\n",
       "      <td>41.341831</td>\n",
       "      <td>19.742319</td>\n",
       "      <td>2.094072</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>BA</td>\n",
       "      <td>No</td>\n",
       "      <td>50.412.581</td>\n",
       "      <td>3.923.411</td>\n",
       "      <td>Frameries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>MEMO051</td>\n",
       "      <td>8.056643</td>\n",
       "      <td>3.984364</td>\n",
       "      <td>2.022065</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>BA</td>\n",
       "      <td>No</td>\n",
       "      <td>50.412.581</td>\n",
       "      <td>3.923.411</td>\n",
       "      <td>Frameries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>MEMO053</td>\n",
       "      <td>19.421843</td>\n",
       "      <td>8.868034</td>\n",
       "      <td>2.190096</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>BA</td>\n",
       "      <td>No</td>\n",
       "      <td>50.412.581</td>\n",
       "      <td>3.923.411</td>\n",
       "      <td>Frameries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>MEMO054</td>\n",
       "      <td>22.859250</td>\n",
       "      <td>10.032630</td>\n",
       "      <td>2.278490</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>BA</td>\n",
       "      <td>No</td>\n",
       "      <td>50.412.581</td>\n",
       "      <td>3.923.411</td>\n",
       "      <td>Frameries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>MEMO056</td>\n",
       "      <td>2.938242</td>\n",
       "      <td>1.293558</td>\n",
       "      <td>2.271442</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AB</td>\n",
       "      <td>No</td>\n",
       "      <td>51.251.278</td>\n",
       "      <td>4.217.397</td>\n",
       "      <td>Kallo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>MEMO057</td>\n",
       "      <td>6.829154</td>\n",
       "      <td>2.805911</td>\n",
       "      <td>2.433845</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AB</td>\n",
       "      <td>No</td>\n",
       "      <td>51.251.278</td>\n",
       "      <td>4.217.397</td>\n",
       "      <td>Kallo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>MEMO059</td>\n",
       "      <td>17.588757</td>\n",
       "      <td>6.652177</td>\n",
       "      <td>2.644060</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AT</td>\n",
       "      <td>No</td>\n",
       "      <td>51.213.647</td>\n",
       "      <td>4.192.997</td>\n",
       "      <td>Vrasene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>MEMO070</td>\n",
       "      <td>15.328435</td>\n",
       "      <td>7.141219</td>\n",
       "      <td>2.146473</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AT</td>\n",
       "      <td>No</td>\n",
       "      <td>51.213.647</td>\n",
       "      <td>4.192.997</td>\n",
       "      <td>Vrasene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>MEMO071</td>\n",
       "      <td>36.068496</td>\n",
       "      <td>15.161495</td>\n",
       "      <td>2.378954</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AT</td>\n",
       "      <td>No</td>\n",
       "      <td>51.213.647</td>\n",
       "      <td>4.192.997</td>\n",
       "      <td>Vrasene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>MEMO073</td>\n",
       "      <td>14.367357</td>\n",
       "      <td>6.168728</td>\n",
       "      <td>2.329063</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>AT</td>\n",
       "      <td>No</td>\n",
       "      <td>51.213.647</td>\n",
       "      <td>4.192.997</td>\n",
       "      <td>Vrasene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>MEMO083</td>\n",
       "      <td>8.250023</td>\n",
       "      <td>3.974052</td>\n",
       "      <td>2.075972</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>MEMO085</td>\n",
       "      <td>19.369677</td>\n",
       "      <td>8.199512</td>\n",
       "      <td>2.362296</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>MEMO093</td>\n",
       "      <td>7.918445</td>\n",
       "      <td>3.518607</td>\n",
       "      <td>2.250449</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>MEMO095</td>\n",
       "      <td>8.881901</td>\n",
       "      <td>3.265434</td>\n",
       "      <td>2.719976</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens potential hybrid</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>MEMO096</td>\n",
       "      <td>6.754372</td>\n",
       "      <td>3.048169</td>\n",
       "      <td>2.215879</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>MEMO097</td>\n",
       "      <td>6.472073</td>\n",
       "      <td>2.623264</td>\n",
       "      <td>2.467183</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>MB</td>\n",
       "      <td>No</td>\n",
       "      <td>51.016.939</td>\n",
       "      <td>5.695.658</td>\n",
       "      <td>Dilsen-Stokkem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>MEMO103</td>\n",
       "      <td>5.504767</td>\n",
       "      <td>2.338910</td>\n",
       "      <td>2.353561</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>MEMO105</td>\n",
       "      <td>14.387549</td>\n",
       "      <td>5.442591</td>\n",
       "      <td>2.643511</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>MEMO126</td>\n",
       "      <td>18.327554</td>\n",
       "      <td>7.617656</td>\n",
       "      <td>2.405931</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>MEMO127</td>\n",
       "      <td>248.494827</td>\n",
       "      <td>87.872828</td>\n",
       "      <td>2.827892</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995.228</td>\n",
       "      <td>5.621.878</td>\n",
       "      <td>Maasmechelen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>MEMO128</td>\n",
       "      <td>29.524030</td>\n",
       "      <td>12.251037</td>\n",
       "      <td>2.409921</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>MEMO129</td>\n",
       "      <td>157.101770</td>\n",
       "      <td>54.098651</td>\n",
       "      <td>2.903987</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>MEMO130</td>\n",
       "      <td>15.502876</td>\n",
       "      <td>7.521053</td>\n",
       "      <td>2.061264</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>EU</td>\n",
       "      <td>No</td>\n",
       "      <td>50.632.586</td>\n",
       "      <td>6.072.753</td>\n",
       "      <td>Eupen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>MEMO133</td>\n",
       "      <td>16.824875</td>\n",
       "      <td>6.733247</td>\n",
       "      <td>2.498776</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>MEMO134</td>\n",
       "      <td>35.539954</td>\n",
       "      <td>12.969168</td>\n",
       "      <td>2.740342</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>MEMO143</td>\n",
       "      <td>20.127772</td>\n",
       "      <td>8.684543</td>\n",
       "      <td>2.317655</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>male</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>MEMO149</td>\n",
       "      <td>21.392826</td>\n",
       "      <td>9.554115</td>\n",
       "      <td>2.239122</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens molestus</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>VP</td>\n",
       "      <td>No</td>\n",
       "      <td>50.585.083</td>\n",
       "      <td>5.259.636</td>\n",
       "      <td>Villers-Le-Bouillet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>NEMO23</td>\n",
       "      <td>14.472861</td>\n",
       "      <td>7.102507</td>\n",
       "      <td>2.037712</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Arenberg park</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865</td>\n",
       "      <td>4.669</td>\n",
       "      <td>Leuven</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>NEMO31</td>\n",
       "      <td>2.562430</td>\n",
       "      <td>1.198235</td>\n",
       "      <td>2.138505</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Arenberg park</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865</td>\n",
       "      <td>4.669</td>\n",
       "      <td>Leuven</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>NEMO33</td>\n",
       "      <td>49.368946</td>\n",
       "      <td>19.903139</td>\n",
       "      <td>2.480460</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Arenberg park</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865</td>\n",
       "      <td>4.669</td>\n",
       "      <td>Leuven</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>NEMO43</td>\n",
       "      <td>3.581311</td>\n",
       "      <td>1.468699</td>\n",
       "      <td>2.438425</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865.688</td>\n",
       "      <td>4.630.034</td>\n",
       "      <td>Bertem</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample       phage   nonphage     ratio  color  \\\n",
       "8    MEMO010    7.446639   3.520916  2.114972  >1.75   \n",
       "10   MEMO012    7.797806   3.897208  2.000870  >1.75   \n",
       "22   MEMO025   12.241615   4.847405  2.525395  >1.75   \n",
       "23   MEMO026   30.785941  15.254449  2.018161  >1.75   \n",
       "24   MEMO027    9.609877   4.523121  2.124612  >1.75   \n",
       "36   MEMO039   20.194609   9.899338  2.039996  >1.75   \n",
       "37   MEMO040    7.247657   3.002815  2.413621  >1.75   \n",
       "38   MEMO041   18.436677   7.792295  2.366014  >1.75   \n",
       "40   MEMO043   11.494711   2.790352  4.119448  >1.75   \n",
       "46   MEMO050   41.341831  19.742319  2.094072  >1.75   \n",
       "47   MEMO051    8.056643   3.984364  2.022065  >1.75   \n",
       "49   MEMO053   19.421843   8.868034  2.190096  >1.75   \n",
       "50   MEMO054   22.859250  10.032630  2.278490  >1.75   \n",
       "52   MEMO056    2.938242   1.293558  2.271442  >1.75   \n",
       "53   MEMO057    6.829154   2.805911  2.433845  >1.75   \n",
       "55   MEMO059   17.588757   6.652177  2.644060  >1.75   \n",
       "66   MEMO070   15.328435   7.141219  2.146473  >1.75   \n",
       "67   MEMO071   36.068496  15.161495  2.378954  >1.75   \n",
       "69   MEMO073   14.367357   6.168728  2.329063  >1.75   \n",
       "78   MEMO083    8.250023   3.974052  2.075972  >1.75   \n",
       "80   MEMO085   19.369677   8.199512  2.362296  >1.75   \n",
       "88   MEMO093    7.918445   3.518607  2.250449  >1.75   \n",
       "90   MEMO095    8.881901   3.265434  2.719976  >1.75   \n",
       "91   MEMO096    6.754372   3.048169  2.215879  >1.75   \n",
       "92   MEMO097    6.472073   2.623264  2.467183  >1.75   \n",
       "98   MEMO103    5.504767   2.338910  2.353561  >1.75   \n",
       "100  MEMO105   14.387549   5.442591  2.643511  >1.75   \n",
       "120  MEMO126   18.327554   7.617656  2.405931  >1.75   \n",
       "121  MEMO127  248.494827  87.872828  2.827892  >1.75   \n",
       "122  MEMO128   29.524030  12.251037  2.409921  >1.75   \n",
       "123  MEMO129  157.101770  54.098651  2.903987  >1.75   \n",
       "124  MEMO130   15.502876   7.521053  2.061264  >1.75   \n",
       "127  MEMO133   16.824875   6.733247  2.498776  >1.75   \n",
       "128  MEMO134   35.539954  12.969168  2.740342  >1.75   \n",
       "137  MEMO143   20.127772   8.684543  2.317655  >1.75   \n",
       "143  MEMO149   21.392826   9.554115  2.239122  >1.75   \n",
       "166   NEMO23   14.472861   7.102507  2.037712  >1.75   \n",
       "174   NEMO31    2.562430   1.198235  2.138505  >1.75   \n",
       "176   NEMO33   49.368946  19.903139  2.480460  >1.75   \n",
       "185   NEMO43    3.581311   1.468699  2.438425  >1.75   \n",
       "\n",
       "                     PCR_Subspecies          SKA_Subspecies        Species  \\\n",
       "8             Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "10            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "22            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "23            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "24            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "36           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "37            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "38            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "40            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "46           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "47           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "49            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "50            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "52           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "53           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "55            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "66           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "67           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "69           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "78           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "80            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "88            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "90   Culex pipiens potential hybrid   Culex pipiens pipiens  Culex pipiens   \n",
       "91           Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "92            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "98            Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "100           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "120           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "121           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "122           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "123           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "124           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "127           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "128           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "137           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "143          Culex pipiens molestus  Culex pipiens molestus  Culex pipiens   \n",
       "166           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "174           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "176           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "185           Culex pipiens pipiens   Culex pipiens pipiens  Culex pipiens   \n",
       "\n",
       "        Sex       Location Control         lat       long         Municipality  \n",
       "8    female             MM      No  50.995.194  5.621.833         Maasmechelen  \n",
       "10   female             EU      No  50.632.556  6.073.283                Eupen  \n",
       "22   female             EU      No  50.632.556  6.073.283                Eupen  \n",
       "23     male             EU      No  50.632.556  6.073.283                Eupen  \n",
       "24   female             EU      No  50.632.556  6.073.283                Eupen  \n",
       "36   female             MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "37   female             MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "38   female             MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "40   female             MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "46   female             BA      No  50.412.581  3.923.411            Frameries  \n",
       "47   female             BA      No  50.412.581  3.923.411            Frameries  \n",
       "49     male             BA      No  50.412.581  3.923.411            Frameries  \n",
       "50     male             BA      No  50.412.581  3.923.411            Frameries  \n",
       "52   female             AB      No  51.251.278  4.217.397                Kallo  \n",
       "53   female             AB      No  51.251.278  4.217.397                Kallo  \n",
       "55   female             AT      No  51.213.647  4.192.997              Vrasene  \n",
       "66   female             AT      No  51.213.647  4.192.997              Vrasene  \n",
       "67   female             AT      No  51.213.647  4.192.997              Vrasene  \n",
       "69   female             AT      No  51.213.647  4.192.997              Vrasene  \n",
       "78   female             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "80   female             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "88     male             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "90   female             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "91   female             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "92     male             MB      No  51.016.939  5.695.658       Dilsen-Stokkem  \n",
       "98   female             EU      No  50.632.586  6.072.753                Eupen  \n",
       "100  female             EU      No  50.632.586  6.072.753                Eupen  \n",
       "120  female             MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "121    male             MM      No  50.995.228  5.621.878         Maasmechelen  \n",
       "122    male             EU      No  50.632.586  6.072.753                Eupen  \n",
       "123    male             EU      No  50.632.586  6.072.753                Eupen  \n",
       "124    male             EU      No  50.632.586  6.072.753                Eupen  \n",
       "127    male             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "128  female             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "137    male             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "143  female             VP      No  50.585.083  5.259.636  Villers-Le-Bouillet  \n",
       "166  female  Arenberg park      No      50.865      4.669               Leuven  \n",
       "174  female  Arenberg park      No      50.865      4.669               Leuven  \n",
       "176  female  Arenberg park      No      50.865      4.669               Leuven  \n",
       "185  female         Bertem      No  50.865.688  4.630.034               Bertem  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratiodf[ratiodf.ratio > 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "e050e965",
   "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>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "      <th>PCR_Subspecies</th>\n",
       "      <th>SKA_Subspecies</th>\n",
       "      <th>Species</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Location</th>\n",
       "      <th>Control</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>Municipality</th>\n",
       "      <th>bool</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>2.606444</td>\n",
       "      <td>2.953885</td>\n",
       "      <td>0.882378</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>0.073425</td>\n",
       "      <td>0.101819</td>\n",
       "      <td>0.721134</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>1.028298</td>\n",
       "      <td>2.875982</td>\n",
       "      <td>0.357547</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>3.345088</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>16.631866</td>\n",
       "      <td>10.783060</td>\n",
       "      <td>1.542407</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>NEMO50</td>\n",
       "      <td>1.067916</td>\n",
       "      <td>0.998846</td>\n",
       "      <td>1.069150</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>5.010867</td>\n",
       "      <td>3.278520</td>\n",
       "      <td>1.528393</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>2.656743</td>\n",
       "      <td>3.688188</td>\n",
       "      <td>0.720338</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>8.749780</td>\n",
       "      <td>4.701102</td>\n",
       "      <td>1.861219</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>0.267686</td>\n",
       "      <td>0.858332</td>\n",
       "      <td>0.311868</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>197 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample      phage   nonphage     ratio  color         PCR_Subspecies  \\\n",
       "0    MEMO001   2.606444   2.953885  0.882378  <1.75  Culex pipiens pipiens   \n",
       "1    MEMO002   0.073425   0.101819  0.721134  <1.75  Culex pipiens pipiens   \n",
       "2    MEMO003   1.028298   2.875982  0.357547  <1.75  Culex pipiens pipiens   \n",
       "3    MEMO004   0.002841   3.345088  0.000849  <1.75       Culex torrentium   \n",
       "4    MEMO005  16.631866  10.783060  1.542407  <1.75  Culex pipiens pipiens   \n",
       "..       ...        ...        ...       ...    ...                    ...   \n",
       "192   NEMO50   1.067916   0.998846  1.069150  <1.75  Culex pipiens pipiens   \n",
       "193   NEMO51   5.010867   3.278520  1.528393  <1.75  Culex pipiens pipiens   \n",
       "194   NEMO52   2.656743   3.688188  0.720338  <1.75  Culex pipiens pipiens   \n",
       "195   NEMO53   8.749780   4.701102  1.861219  >1.75  Culex pipiens pipiens   \n",
       "196   NEMO54   0.267686   0.858332  0.311868  <1.75  Culex pipiens pipiens   \n",
       "\n",
       "            SKA_Subspecies           Species     Sex Location Control  \\\n",
       "0    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "1    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "2    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "3         Culex torrentium  Culex torrentium  female       MM      No   \n",
       "4    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "..                     ...               ...     ...      ...     ...   \n",
       "192  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "193  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "194  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "195  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "196  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "\n",
       "           lat      long  Municipality   bool  \n",
       "0    50.995194  5.621833  Maasmechelen  False  \n",
       "1    50.995194  5.621833  Maasmechelen  False  \n",
       "2    50.995194  5.621833  Maasmechelen  False  \n",
       "3    50.995194  5.621833  Maasmechelen  False  \n",
       "4    50.995194  5.621833  Maasmechelen  False  \n",
       "..         ...       ...           ...    ...  \n",
       "192  50.865688  4.630034        Bertem  False  \n",
       "193  50.865688  4.630034        Bertem  False  \n",
       "194  50.865688  4.630034        Bertem  False  \n",
       "195  50.865688  4.630034        Bertem  False  \n",
       "196  50.865688  4.630034        Bertem  False  \n",
       "\n",
       "[197 rows x 15 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratiodf['bool']=ratiodf['ratio'] > 2\n",
    "ratiodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "c1e9bc8c",
   "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>Sample</th>\n",
       "      <th>phage</th>\n",
       "      <th>nonphage</th>\n",
       "      <th>ratio</th>\n",
       "      <th>color</th>\n",
       "      <th>PCR_Subspecies</th>\n",
       "      <th>SKA_Subspecies</th>\n",
       "      <th>Species</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Location</th>\n",
       "      <th>Control</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>Municipality</th>\n",
       "      <th>bool</th>\n",
       "      <th>natural_log</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MEMO001</td>\n",
       "      <td>2.606444</td>\n",
       "      <td>2.953885</td>\n",
       "      <td>0.882378</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "      <td>-0.125135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MEMO002</td>\n",
       "      <td>0.073425</td>\n",
       "      <td>0.101819</td>\n",
       "      <td>0.721134</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "      <td>-0.326931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MEMO003</td>\n",
       "      <td>1.028298</td>\n",
       "      <td>2.875982</td>\n",
       "      <td>0.357547</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "      <td>-1.028489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEMO004</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>3.345088</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>Culex torrentium</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.070939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MEMO005</td>\n",
       "      <td>16.631866</td>\n",
       "      <td>10.783060</td>\n",
       "      <td>1.542407</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>MM</td>\n",
       "      <td>No</td>\n",
       "      <td>50.995194</td>\n",
       "      <td>5.621833</td>\n",
       "      <td>Maasmechelen</td>\n",
       "      <td>False</td>\n",
       "      <td>0.433344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>NEMO50</td>\n",
       "      <td>1.067916</td>\n",
       "      <td>0.998846</td>\n",
       "      <td>1.069150</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "      <td>0.066864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>NEMO51</td>\n",
       "      <td>5.010867</td>\n",
       "      <td>3.278520</td>\n",
       "      <td>1.528393</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "      <td>0.424217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>NEMO52</td>\n",
       "      <td>2.656743</td>\n",
       "      <td>3.688188</td>\n",
       "      <td>0.720338</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "      <td>-0.328034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>NEMO53</td>\n",
       "      <td>8.749780</td>\n",
       "      <td>4.701102</td>\n",
       "      <td>1.861219</td>\n",
       "      <td>&gt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "      <td>0.621232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>NEMO54</td>\n",
       "      <td>0.267686</td>\n",
       "      <td>0.858332</td>\n",
       "      <td>0.311868</td>\n",
       "      <td>&lt;1.75</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens pipiens</td>\n",
       "      <td>Culex pipiens</td>\n",
       "      <td>female</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>No</td>\n",
       "      <td>50.865688</td>\n",
       "      <td>4.630034</td>\n",
       "      <td>Bertem</td>\n",
       "      <td>False</td>\n",
       "      <td>-1.165175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>197 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample      phage   nonphage     ratio  color         PCR_Subspecies  \\\n",
       "0    MEMO001   2.606444   2.953885  0.882378  <1.75  Culex pipiens pipiens   \n",
       "1    MEMO002   0.073425   0.101819  0.721134  <1.75  Culex pipiens pipiens   \n",
       "2    MEMO003   1.028298   2.875982  0.357547  <1.75  Culex pipiens pipiens   \n",
       "3    MEMO004   0.002841   3.345088  0.000849  <1.75       Culex torrentium   \n",
       "4    MEMO005  16.631866  10.783060  1.542407  <1.75  Culex pipiens pipiens   \n",
       "..       ...        ...        ...       ...    ...                    ...   \n",
       "192   NEMO50   1.067916   0.998846  1.069150  <1.75  Culex pipiens pipiens   \n",
       "193   NEMO51   5.010867   3.278520  1.528393  <1.75  Culex pipiens pipiens   \n",
       "194   NEMO52   2.656743   3.688188  0.720338  <1.75  Culex pipiens pipiens   \n",
       "195   NEMO53   8.749780   4.701102  1.861219  >1.75  Culex pipiens pipiens   \n",
       "196   NEMO54   0.267686   0.858332  0.311868  <1.75  Culex pipiens pipiens   \n",
       "\n",
       "            SKA_Subspecies           Species     Sex Location Control  \\\n",
       "0    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "1    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "2    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "3         Culex torrentium  Culex torrentium  female       MM      No   \n",
       "4    Culex pipiens pipiens     Culex pipiens  female       MM      No   \n",
       "..                     ...               ...     ...      ...     ...   \n",
       "192  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "193  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "194  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "195  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "196  Culex pipiens pipiens     Culex pipiens  female   Bertem      No   \n",
       "\n",
       "           lat      long  Municipality   bool  natural_log  \n",
       "0    50.995194  5.621833  Maasmechelen  False    -0.125135  \n",
       "1    50.995194  5.621833  Maasmechelen  False    -0.326931  \n",
       "2    50.995194  5.621833  Maasmechelen  False    -1.028489  \n",
       "3    50.995194  5.621833  Maasmechelen  False    -7.070939  \n",
       "4    50.995194  5.621833  Maasmechelen  False     0.433344  \n",
       "..         ...       ...           ...    ...          ...  \n",
       "192  50.865688  4.630034        Bertem  False     0.066864  \n",
       "193  50.865688  4.630034        Bertem  False     0.424217  \n",
       "194  50.865688  4.630034        Bertem  False    -0.328034  \n",
       "195  50.865688  4.630034        Bertem  False     0.621232  \n",
       "196  50.865688  4.630034        Bertem  False    -1.165175  \n",
       "\n",
       "[197 rows x 16 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratiodf['natural_log'] = np.log(ratiodf['ratio'])\n",
    "ratiodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "d7865742",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2400x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(8, 6), dpi=300)\n",
    "p=sns.swarmplot(data=ratiodf, y='natural_log', hue='color', x='SKA_Subspecies')\n",
    "p.set(xlabel=None, ylabel='Ratio\\n$(average\\ depth\\ phage/average\\ depth\\ nonphage$)')\n",
    "p.set_xticklabels(labels=ratiodf['SKA_Subspecies'].unique(), fontstyle =\"italic\")\n",
    "p.legend(frameon=False).set_title(None)\n",
    "plt.tight_layout()\n",
    "#plt.savefig(\"phage_ratio.pdf\", bbox_inches=\"tight\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6592d919",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.2 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "vscode": {
   "interpreter": {
    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}