Unknown-sample-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Goal of this analysis is to:\n",
    "#1 Parse the SAM file from mapping target sequences (excluding taxonomic markers) with bowtie2\n",
    "#2 Import the results of taxonomic marker analysis using OTU clustering and BLAST\n",
    "#3 Combine the data and do a quality control check\n",
    "#4 Generate Summary Tables of the data\n",
    "\n",
    "\n",
    "#Begin with imports\n",
    "import timeit\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.set_option(\"display.precision\", 2) #floats displayed 3 digits\n",
    "cpallet = [\"#6CC860\",\"#8CC860\",\"#C4E54C\",\"#F7DD48\",\"#F5A232\",\"#FC8609\",\"#FE6315\"]\n",
    "for i in range(3): #just gonna expand it a bit\n",
    "    cpallet += cpallet\n",
    "import matplotlib.pyplot as plot\n",
    "plot.rcParams['svg.fonttype'] = 'none'\n",
    "import scipy.stats as stats\n",
    "from labellines import labelLine, labelLines\n",
    "\n",
    "header = [] #global var to keep track of the header of the SAM file\n",
    "\n",
    "#def some classes and functions used to deal with the SAM file\n",
    "class Read (object):\n",
    "    '''this reads class is specific to SAM files, contains a bunch of attribtues:\n",
    "ID(barcode), Sequence, Mapping position, Mapping quality, CIGAR string, and FLAG and align'''\n",
    "    def __init__ (self, ID = \"default\", seq = \"none\", MapPos = -1, MapQ = -1, CIGAR = \"none\", FLAG = \"none\", align = \"none\"):\n",
    "        self.ID = ID\n",
    "        self.seq = seq\n",
    "        self.MapPos = MapPos\n",
    "        self.MapQ = MapQ\n",
    "        self.CIGAR = CIGAR\n",
    "        self.FLAG = FLAG\n",
    "        self.align = align\n",
    "        self.species = \"N/A\"\n",
    "        return\n",
    "        \n",
    "    def __str__ (self):\n",
    "        return \"ID: %s \\t Seq: %s \\t MapPos: %d \\t CIGAR: %s \\t FLAG: %s \\t align: %s\" % (self.ID, self.seq, self.MapPos, self.CIGAR, self.FLAG, self.align)\n",
    "\n",
    "class Bargroup (object):\n",
    "    def __init__(self, bar = \"default\", reads = [], species = \"undet\", num_genes = -1):\n",
    "        self.bar = bar\n",
    "        self.reads = reads\n",
    "        self.species = species\n",
    "        self.num_genes = num_genes\n",
    "        return\n",
    "        \n",
    "\n",
    "def in_put1 (infile, limit = 0):      #this one takes only one file as input\n",
    "    bargroups = {}\n",
    "    count = 0\n",
    "    \n",
    "    for line in infile:  #each line is a new read\n",
    "        if line[0] == \"@\":        #ignore the line if it is a header\n",
    "            header.append(line)\n",
    "            continue       \n",
    "        \n",
    "        count += 1        \n",
    "\n",
    "        split = line.split(\"\\t\")    #split line into separate words\n",
    "        #now assign each segment of the split into a read\n",
    "        try:\n",
    "            #read = Read (ID = split[0][:15], align = split[2], seq = split[9], MapPos = int(split[3]), MapQ = split[4], CIGAR = split[5], FLAG = split[1])\n",
    "            read = Read (ID = split[0], align = split[2], seq = split[9], MapPos = int(split[3]), MapQ = int(split[4]), CIGAR = split[5]) \n",
    "\n",
    "        except:\n",
    "            print( split[3])\n",
    "            print( \"read could not be stored\")\n",
    "        \n",
    "        if read.ID[:15] in bargroups:\n",
    "            bargroups[read.ID[:15]].reads.append(read)\n",
    "        else:\n",
    "            bargroups[read.ID[:15]] = Bargroup(bar = read.ID, reads = [read])\n",
    "        \n",
    "        if limit != 0:\n",
    "            if count >= limit:\n",
    "                break\n",
    "    print( \"%d reads inputted\" % count)\n",
    "    return bargroups\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/mnt/scratch/freeman/lib37-ZF2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['37-2--zymofecalreplicons.sam',\n",
       " '37-3--zymofecalreplicons.sam',\n",
       " '37-4--zymofecalreplicons.sam',\n",
       " '38-7-zymofecalreplicons.sam']"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Set paths and all the SAM files to be analyzed\n",
    "print(os.getcwd())\n",
    "samplename = \"Fecal\"\n",
    "os.chdir(\"/mnt/scratch/freeman/ZFsummary/\")\n",
    "files = os.listdir(os.getcwd())\n",
    "files = [f for f in files if f[-4:] == \".sam\" and f.find(\"Unde\") == -1]\n",
    "#files = [f for f in files if f.find(\"strict\") != -1]\n",
    "files.sort()\n",
    "\n",
    "prefix = [f[:-4] for f in files]\n",
    "files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "642313 reads inputted\n",
      "46962 reads inputted\n",
      "619049 reads inputted\n",
      "1040376 reads inputted\n",
      "it took 11.781819737982005 seconds\n"
     ]
    }
   ],
   "source": [
    "tic = timeit.default_timer()\n",
    "\n",
    "libraries = []\n",
    "for f in files:\n",
    "#Lets import the file\n",
    "    filename = f\n",
    "    with open(filename, \"r\") as infile:\n",
    "        libraries.append(in_put1(infile))\n",
    "toc = timeit.default_timer()\n",
    "\n",
    "print(f\"it took {toc-tic} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "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>Col156</th>\n",
       "      <th>PputidadnaG</th>\n",
       "      <th>SepidermdnaG</th>\n",
       "      <th>rep-cluster-1320</th>\n",
       "      <th>rep-cluster-1351</th>\n",
       "      <th>rep-cluster-1702</th>\n",
       "      <th>rep-cluster-1778</th>\n",
       "      <th>rep-cluster-1817</th>\n",
       "      <th>rep-cluster-1868</th>\n",
       "      <th>rep-cluster-414</th>\n",
       "      <th>rep-cluster-663</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GTTCAGTATATGATT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1234.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACCTTGACTAAGTCT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2174.0</td>\n",
       "      <td>3937.0</td>\n",
       "      <td>3310.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATGAATCCGCTGTTG</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>575.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACAACAGGATATCT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>678.0</td>\n",
       "      <td>1452.0</td>\n",
       "      <td>2883.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>854.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1209.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AATCACTAATATGAA</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>823.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGGTTTAACTTTATT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GATATAAGGTTAATT</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCACTAGGAGAATCA</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TGATGACGTTTACGG</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TGGACCTATCACATG</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11632 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Col156  PputidadnaG  SepidermdnaG  rep-cluster-1320  \\\n",
       "GTTCAGTATATGATT     0.0          0.0           0.0               0.0   \n",
       "ACCTTGACTAAGTCT     0.0          0.0           0.0            2174.0   \n",
       "ATGAATCCGCTGTTG     0.0          0.0         575.0               0.0   \n",
       "AACAACAGGATATCT     0.0          0.0           0.0             678.0   \n",
       "AATCACTAATATGAA     0.0          0.0           0.0               0.0   \n",
       "...                 ...          ...           ...               ...   \n",
       "AGGTTTAACTTTATT     0.0          0.0           0.0               0.0   \n",
       "GATATAAGGTTAATT     0.0          0.0           0.0               0.0   \n",
       "CCACTAGGAGAATCA     0.0          0.0           2.0               0.0   \n",
       "TGATGACGTTTACGG     0.0          0.0           0.0               0.0   \n",
       "TGGACCTATCACATG     0.0          0.0           0.0               1.0   \n",
       "\n",
       "                 rep-cluster-1351  rep-cluster-1702  rep-cluster-1778  \\\n",
       "GTTCAGTATATGATT               0.0            1234.0               0.0   \n",
       "ACCTTGACTAAGTCT            3937.0            3310.0               0.0   \n",
       "ATGAATCCGCTGTTG               0.0               0.0               0.0   \n",
       "AACAACAGGATATCT            1452.0            2883.0               0.0   \n",
       "AATCACTAATATGAA               0.0             823.0               0.0   \n",
       "...                           ...               ...               ...   \n",
       "AGGTTTAACTTTATT               0.0               0.0               0.0   \n",
       "GATATAAGGTTAATT               0.0               1.0               0.0   \n",
       "CCACTAGGAGAATCA               0.0               0.0               0.0   \n",
       "TGATGACGTTTACGG               0.0               0.0               0.0   \n",
       "TGGACCTATCACATG               0.0               0.0               0.0   \n",
       "\n",
       "                 rep-cluster-1817  rep-cluster-1868  rep-cluster-414  \\\n",
       "GTTCAGTATATGATT               0.0               0.0              0.0   \n",
       "ACCTTGACTAAGTCT               0.0               0.0              0.0   \n",
       "ATGAATCCGCTGTTG               0.0               0.0              0.0   \n",
       "AACAACAGGATATCT             854.0               0.0              0.0   \n",
       "AATCACTAATATGAA               0.0               0.0              0.0   \n",
       "...                           ...               ...              ...   \n",
       "AGGTTTAACTTTATT               0.0               0.0              0.0   \n",
       "GATATAAGGTTAATT               0.0               0.0              0.0   \n",
       "CCACTAGGAGAATCA               0.0               0.0              0.0   \n",
       "TGATGACGTTTACGG               0.0               0.0              0.0   \n",
       "TGGACCTATCACATG               0.0               0.0              0.0   \n",
       "\n",
       "                 rep-cluster-663  \n",
       "GTTCAGTATATGATT              0.0  \n",
       "ACCTTGACTAAGTCT              0.0  \n",
       "ATGAATCCGCTGTTG              0.0  \n",
       "AACAACAGGATATCT           1209.0  \n",
       "AATCACTAATATGAA              1.0  \n",
       "...                          ...  \n",
       "AGGTTTAACTTTATT              1.0  \n",
       "GATATAAGGTTAATT              0.0  \n",
       "CCACTAGGAGAATCA              0.0  \n",
       "TGATGACGTTTACGG              1.0  \n",
       "TGGACCTATCACATG              0.0  \n",
       "\n",
       "[11632 rows x 11 columns]"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#time to turn it into a DF\n",
    "#turn barcode data into a pandas dataframe\n",
    "\n",
    "#datastructure as such: rows = each barcode, columns = # reads for each target\n",
    "Targdfs = []\n",
    "for i in range(len(prefix)):\n",
    "    groups = libraries[i]\n",
    "    rowlist = []\n",
    "    keylist = []\n",
    "    mappednames = set()\n",
    "    for b in groups:\n",
    "        keylist.append(b)\n",
    "        row = {}\n",
    "        for r in groups[b].reads:\n",
    "            if r.align in row:\n",
    "                row[r.align] += 1\n",
    "            else:\n",
    "                row[r.align] = 1\n",
    "        rowlist.append(row)\n",
    "        \n",
    "    df = pd.DataFrame(rowlist, index = keylist)\n",
    "    df = df.fillna(0) #replace NaN values with 0s\n",
    "    #fix column headers\n",
    "    #sort column header\n",
    "    df = df.reindex(sorted(df.columns), axis=1) #reindex based on sorted new columns\n",
    "    #fix names\n",
    "    cols = df.columns.tolist()\n",
    "    cols = [c if c.find(\"|\") == -1 else c.split(\"|\")[5] for c in cols]\n",
    "\n",
    "    #need to collapse all the different 16S targets into one column\n",
    "    #first rename the columns to remove the different numbers for each 16S target\n",
    "    cols = ['-'.join(c.split(\"_\")[0:3]) for c in cols]\n",
    "    df.columns = cols\n",
    "\n",
    "    #next collapse all the columns with same name to collapse all the 16S targets into same column\n",
    "    df = df.groupby(level=0, axis=1).sum()\n",
    "\n",
    "    #add to the dfs list\n",
    "    Targdfs.append(df)    \n",
    "\n",
    "libraries = None #clear the libraries for memory\n",
    "Targdfs[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Actinomycetales;D_4__Actinomycetaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Bifidobacteriales;D_4__Bifidobacteriaceae</th>\n",
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       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Atopobiaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriales Incertae Sedis</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Eggerthellaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Bacteroidaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Barnesiellaceae</th>\n",
       "      <th>...</th>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Negativicutes;D_3__Selenomonadales;D_4__Veillonellaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Lentisphaerae;D_2__Lentisphaeria;D_3__Victivallales;D_4__vadinBE97</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Deltaproteobacteria;D_3__Desulfovibrionales;D_4__Desulfovibrionaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Alteromonadales;D_4__Shewanellaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Betaproteobacteriales;D_4__Burkholderiaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Enterobacteriales;D_4__Enterobacteriaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pasteurellales;D_4__Pasteurellaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pseudomonadales;D_4__Moraxellaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pseudomonadales;D_4__Pseudomonadaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verrucomicrobiae;D_3__Verrucomicrobiales;D_4__Akkermansiaceae</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ATAGCCTGAAATCGA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACGGAGCCAAACTGA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAGAATAGTACACAT</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4953</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAAATCCATGATCGT</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAATCACCAGTTACA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTACCGCCATTCACC</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACTGGACGGAACGA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GAGTGAGTGGCTTAG</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CATGAAATTGGTTCC</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGTAAATAACCCCCA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12145 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Actinomycetales;D_4__Actinomycetaceae  \\\n",
       "head                                                                                                                \n",
       "ATAGCCTGAAATCGA                                                  0                                                  \n",
       "ACGGAGCCAAACTGA                                                  0                                                  \n",
       "CAGAATAGTACACAT                                                  0                                                  \n",
       "CAAATCCATGATCGT                                                  0                                                  \n",
       "TAATCACCAGTTACA                                                  0                                                  \n",
       "...                                                            ...                                                  \n",
       "TTACCGCCATTCACC                                                  0                                                  \n",
       "AACTGGACGGAACGA                                                  0                                                  \n",
       "GAGTGAGTGGCTTAG                                                  0                                                  \n",
       "CATGAAATTGGTTCC                                                  0                                                  \n",
       "AGTAAATAACCCCCA                                                  0                                                  \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Bifidobacteriales;D_4__Bifidobacteriaceae  \\\n",
       "head                                                                                                                    \n",
       "ATAGCCTGAAATCGA                                                  0                                                      \n",
       "ACGGAGCCAAACTGA                                                  0                                                      \n",
       "CAGAATAGTACACAT                                                  0                                                      \n",
       "CAAATCCATGATCGT                                                  0                                                      \n",
       "TAATCACCAGTTACA                                                  0                                                      \n",
       "...                                                            ...                                                      \n",
       "TTACCGCCATTCACC                                                  0                                                      \n",
       "AACTGGACGGAACGA                                                  0                                                      \n",
       "GAGTGAGTGGCTTAG                                                  0                                                      \n",
       "CATGAAATTGGTTCC                                                  0                                                      \n",
       "AGTAAATAACCCCCA                                                  0                                                      \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Micrococcales;D_4__Micrococcaceae  \\\n",
       "head                                                                                                            \n",
       "ATAGCCTGAAATCGA                                                  0                                              \n",
       "ACGGAGCCAAACTGA                                                  0                                              \n",
       "CAGAATAGTACACAT                                                  0                                              \n",
       "CAAATCCATGATCGT                                                  0                                              \n",
       "TAATCACCAGTTACA                                                  0                                              \n",
       "...                                                            ...                                              \n",
       "TTACCGCCATTCACC                                                  0                                              \n",
       "AACTGGACGGAACGA                                                  0                                              \n",
       "GAGTGAGTGGCTTAG                                                  0                                              \n",
       "CATGAAATTGGTTCC                                                  0                                              \n",
       "AGTAAATAACCCCCA                                                  0                                              \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Propionibacteriales;D_4__Propionibacteriaceae  \\\n",
       "head                                                                                                                        \n",
       "ATAGCCTGAAATCGA                                                  0                                                          \n",
       "ACGGAGCCAAACTGA                                                  0                                                          \n",
       "CAGAATAGTACACAT                                                  0                                                          \n",
       "CAAATCCATGATCGT                                                  0                                                          \n",
       "TAATCACCAGTTACA                                                  0                                                          \n",
       "...                                                            ...                                                          \n",
       "TTACCGCCATTCACC                                                  0                                                          \n",
       "AACTGGACGGAACGA                                                  0                                                          \n",
       "GAGTGAGTGGCTTAG                                                  0                                                          \n",
       "CATGAAATTGGTTCC                                                  0                                                          \n",
       "AGTAAATAACCCCCA                                                  0                                                          \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Atopobiaceae  \\\n",
       "head                                                                                                             \n",
       "ATAGCCTGAAATCGA                                                  0                                               \n",
       "ACGGAGCCAAACTGA                                                  0                                               \n",
       "CAGAATAGTACACAT                                                  0                                               \n",
       "CAAATCCATGATCGT                                                  0                                               \n",
       "TAATCACCAGTTACA                                                  0                                               \n",
       "...                                                            ...                                               \n",
       "TTACCGCCATTCACC                                                  0                                               \n",
       "AACTGGACGGAACGA                                                  0                                               \n",
       "GAGTGAGTGGCTTAG                                                  0                                               \n",
       "CATGAAATTGGTTCC                                                  0                                               \n",
       "AGTAAATAACCCCCA                                                  0                                               \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriaceae  \\\n",
       "head                                                                                                                  \n",
       "ATAGCCTGAAATCGA                                                  0                                                    \n",
       "ACGGAGCCAAACTGA                                                  0                                                    \n",
       "CAGAATAGTACACAT                                               4953                                                    \n",
       "CAAATCCATGATCGT                                                  0                                                    \n",
       "TAATCACCAGTTACA                                                  0                                                    \n",
       "...                                                            ...                                                    \n",
       "TTACCGCCATTCACC                                                  0                                                    \n",
       "AACTGGACGGAACGA                                                  0                                                    \n",
       "GAGTGAGTGGCTTAG                                                  0                                                    \n",
       "CATGAAATTGGTTCC                                                  0                                                    \n",
       "AGTAAATAACCCCCA                                                  0                                                    \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriales Incertae Sedis  \\\n",
       "head                                                                                                                                \n",
       "ATAGCCTGAAATCGA                                                  0                                                                  \n",
       "ACGGAGCCAAACTGA                                                  0                                                                  \n",
       "CAGAATAGTACACAT                                                  0                                                                  \n",
       "CAAATCCATGATCGT                                                  0                                                                  \n",
       "TAATCACCAGTTACA                                                  0                                                                  \n",
       "...                                                            ...                                                                  \n",
       "TTACCGCCATTCACC                                                  0                                                                  \n",
       "AACTGGACGGAACGA                                                  0                                                                  \n",
       "GAGTGAGTGGCTTAG                                                  0                                                                  \n",
       "CATGAAATTGGTTCC                                                 44                                                                  \n",
       "AGTAAATAACCCCCA                                                  0                                                                  \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Eggerthellaceae  \\\n",
       "head                                                                                                                \n",
       "ATAGCCTGAAATCGA                                                  0                                                  \n",
       "ACGGAGCCAAACTGA                                                  0                                                  \n",
       "CAGAATAGTACACAT                                                  0                                                  \n",
       "CAAATCCATGATCGT                                                  0                                                  \n",
       "TAATCACCAGTTACA                                                  0                                                  \n",
       "...                                                            ...                                                  \n",
       "TTACCGCCATTCACC                                                  0                                                  \n",
       "AACTGGACGGAACGA                                                  0                                                  \n",
       "GAGTGAGTGGCTTAG                                                  0                                                  \n",
       "CATGAAATTGGTTCC                                                  0                                                  \n",
       "AGTAAATAACCCCCA                                                  0                                                  \n",
       "\n",
       "                 D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Bacteroidaceae  \\\n",
       "head                                                                                                        \n",
       "ATAGCCTGAAATCGA                                                  0                                          \n",
       "ACGGAGCCAAACTGA                                                  0                                          \n",
       "CAGAATAGTACACAT                                                  0                                          \n",
       "CAAATCCATGATCGT                                                  0                                          \n",
       "TAATCACCAGTTACA                                                  0                                          \n",
       "...                                                            ...                                          \n",
       "TTACCGCCATTCACC                                                  0                                          \n",
       "AACTGGACGGAACGA                                                  0                                          \n",
       "GAGTGAGTGGCTTAG                                                  0                                          \n",
       "CATGAAATTGGTTCC                                                  0                                          \n",
       "AGTAAATAACCCCCA                                                  0                                          \n",
       "\n",
       "                 D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Barnesiellaceae  \\\n",
       "head                                                                                                         \n",
       "ATAGCCTGAAATCGA                                                  0                                           \n",
       "ACGGAGCCAAACTGA                                                  0                                           \n",
       "CAGAATAGTACACAT                                                  0                                           \n",
       "CAAATCCATGATCGT                                                  0                                           \n",
       "TAATCACCAGTTACA                                                  0                                           \n",
       "...                                                            ...                                           \n",
       "TTACCGCCATTCACC                                                  0                                           \n",
       "AACTGGACGGAACGA                                                  0                                           \n",
       "GAGTGAGTGGCTTAG                                                  0                                           \n",
       "CATGAAATTGGTTCC                                                  0                                           \n",
       "AGTAAATAACCCCCA                                                  0                                           \n",
       "\n",
       "                 ...  \\\n",
       "head             ...   \n",
       "ATAGCCTGAAATCGA  ...   \n",
       "ACGGAGCCAAACTGA  ...   \n",
       "CAGAATAGTACACAT  ...   \n",
       "CAAATCCATGATCGT  ...   \n",
       "TAATCACCAGTTACA  ...   \n",
       "...              ...   \n",
       "TTACCGCCATTCACC  ...   \n",
       "AACTGGACGGAACGA  ...   \n",
       "GAGTGAGTGGCTTAG  ...   \n",
       "CATGAAATTGGTTCC  ...   \n",
       "AGTAAATAACCCCCA  ...   \n",
       "\n",
       "                 D_0__Bacteria;D_1__Firmicutes;D_2__Negativicutes;D_3__Selenomonadales;D_4__Veillonellaceae  \\\n",
       "head                                                                                                          \n",
       "ATAGCCTGAAATCGA                                                  0                                            \n",
       "ACGGAGCCAAACTGA                                                  0                                            \n",
       "CAGAATAGTACACAT                                                  0                                            \n",
       "CAAATCCATGATCGT                                                  0                                            \n",
       "TAATCACCAGTTACA                                                  0                                            \n",
       "...                                                            ...                                            \n",
       "TTACCGCCATTCACC                                                  0                                            \n",
       "AACTGGACGGAACGA                                                  0                                            \n",
       "GAGTGAGTGGCTTAG                                                  0                                            \n",
       "CATGAAATTGGTTCC                                                  0                                            \n",
       "AGTAAATAACCCCCA                                                  0                                            \n",
       "\n",
       "                 D_0__Bacteria;D_1__Lentisphaerae;D_2__Lentisphaeria;D_3__Victivallales;D_4__vadinBE97  \\\n",
       "head                                                                                                     \n",
       "ATAGCCTGAAATCGA                                                  0                                       \n",
       "ACGGAGCCAAACTGA                                                  0                                       \n",
       "CAGAATAGTACACAT                                                  0                                       \n",
       "CAAATCCATGATCGT                                                  0                                       \n",
       "TAATCACCAGTTACA                                                  0                                       \n",
       "...                                                            ...                                       \n",
       "TTACCGCCATTCACC                                                  0                                       \n",
       "AACTGGACGGAACGA                                                  0                                       \n",
       "GAGTGAGTGGCTTAG                                                  0                                       \n",
       "CATGAAATTGGTTCC                                                  0                                       \n",
       "AGTAAATAACCCCCA                                                  0                                       \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Deltaproteobacteria;D_3__Desulfovibrionales;D_4__Desulfovibrionaceae  \\\n",
       "head                                                                                                                           \n",
       "ATAGCCTGAAATCGA                                                  0                                                             \n",
       "ACGGAGCCAAACTGA                                                  0                                                             \n",
       "CAGAATAGTACACAT                                                  0                                                             \n",
       "CAAATCCATGATCGT                                                  0                                                             \n",
       "TAATCACCAGTTACA                                                  0                                                             \n",
       "...                                                            ...                                                             \n",
       "TTACCGCCATTCACC                                                  0                                                             \n",
       "AACTGGACGGAACGA                                                  0                                                             \n",
       "GAGTGAGTGGCTTAG                                                  0                                                             \n",
       "CATGAAATTGGTTCC                                                  0                                                             \n",
       "AGTAAATAACCCCCA                                                  0                                                             \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Alteromonadales;D_4__Shewanellaceae  \\\n",
       "head                                                                                                                   \n",
       "ATAGCCTGAAATCGA                                                  0                                                     \n",
       "ACGGAGCCAAACTGA                                                  0                                                     \n",
       "CAGAATAGTACACAT                                                  0                                                     \n",
       "CAAATCCATGATCGT                                                  0                                                     \n",
       "TAATCACCAGTTACA                                                  0                                                     \n",
       "...                                                            ...                                                     \n",
       "TTACCGCCATTCACC                                                  0                                                     \n",
       "AACTGGACGGAACGA                                                  0                                                     \n",
       "GAGTGAGTGGCTTAG                                                  0                                                     \n",
       "CATGAAATTGGTTCC                                                  0                                                     \n",
       "AGTAAATAACCCCCA                                                  0                                                     \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Betaproteobacteriales;D_4__Burkholderiaceae  \\\n",
       "head                                                                                                                           \n",
       "ATAGCCTGAAATCGA                                                  0                                                             \n",
       "ACGGAGCCAAACTGA                                                  0                                                             \n",
       "CAGAATAGTACACAT                                                  0                                                             \n",
       "CAAATCCATGATCGT                                                  0                                                             \n",
       "TAATCACCAGTTACA                                                  0                                                             \n",
       "...                                                            ...                                                             \n",
       "TTACCGCCATTCACC                                                  0                                                             \n",
       "AACTGGACGGAACGA                                                  0                                                             \n",
       "GAGTGAGTGGCTTAG                                                  0                                                             \n",
       "CATGAAATTGGTTCC                                                  0                                                             \n",
       "AGTAAATAACCCCCA                                                  0                                                             \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Enterobacteriales;D_4__Enterobacteriaceae  \\\n",
       "head                                                                                                                         \n",
       "ATAGCCTGAAATCGA                                                  0                                                           \n",
       "ACGGAGCCAAACTGA                                                  0                                                           \n",
       "CAGAATAGTACACAT                                                  0                                                           \n",
       "CAAATCCATGATCGT                                                  0                                                           \n",
       "TAATCACCAGTTACA                                                  0                                                           \n",
       "...                                                            ...                                                           \n",
       "TTACCGCCATTCACC                                                  0                                                           \n",
       "AACTGGACGGAACGA                                                  0                                                           \n",
       "GAGTGAGTGGCTTAG                                                  0                                                           \n",
       "CATGAAATTGGTTCC                                                  0                                                           \n",
       "AGTAAATAACCCCCA                                                  0                                                           \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pasteurellales;D_4__Pasteurellaceae  \\\n",
       "head                                                                                                                   \n",
       "ATAGCCTGAAATCGA                                                  0                                                     \n",
       "ACGGAGCCAAACTGA                                                  0                                                     \n",
       "CAGAATAGTACACAT                                                  0                                                     \n",
       "CAAATCCATGATCGT                                                  0                                                     \n",
       "TAATCACCAGTTACA                                                  0                                                     \n",
       "...                                                            ...                                                     \n",
       "TTACCGCCATTCACC                                                  0                                                     \n",
       "AACTGGACGGAACGA                                                  0                                                     \n",
       "GAGTGAGTGGCTTAG                                                  0                                                     \n",
       "CATGAAATTGGTTCC                                                  0                                                     \n",
       "AGTAAATAACCCCCA                                                  0                                                     \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pseudomonadales;D_4__Moraxellaceae  \\\n",
       "head                                                                                                                  \n",
       "ATAGCCTGAAATCGA                                                  0                                                    \n",
       "ACGGAGCCAAACTGA                                                  0                                                    \n",
       "CAGAATAGTACACAT                                                  0                                                    \n",
       "CAAATCCATGATCGT                                                  0                                                    \n",
       "TAATCACCAGTTACA                                                  0                                                    \n",
       "...                                                            ...                                                    \n",
       "TTACCGCCATTCACC                                                  0                                                    \n",
       "AACTGGACGGAACGA                                                  0                                                    \n",
       "GAGTGAGTGGCTTAG                                                  0                                                    \n",
       "CATGAAATTGGTTCC                                                  0                                                    \n",
       "AGTAAATAACCCCCA                                                  0                                                    \n",
       "\n",
       "                 D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pseudomonadales;D_4__Pseudomonadaceae  \\\n",
       "head                                                                                                                     \n",
       "ATAGCCTGAAATCGA                                                  0                                                       \n",
       "ACGGAGCCAAACTGA                                                  0                                                       \n",
       "CAGAATAGTACACAT                                                  0                                                       \n",
       "CAAATCCATGATCGT                                                  0                                                       \n",
       "TAATCACCAGTTACA                                                  0                                                       \n",
       "...                                                            ...                                                       \n",
       "TTACCGCCATTCACC                                                  0                                                       \n",
       "AACTGGACGGAACGA                                                  0                                                       \n",
       "GAGTGAGTGGCTTAG                                                  0                                                       \n",
       "CATGAAATTGGTTCC                                                  0                                                       \n",
       "AGTAAATAACCCCCA                                                  0                                                       \n",
       "\n",
       "                 D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verrucomicrobiae;D_3__Verrucomicrobiales;D_4__Akkermansiaceae  \n",
       "head                                                                                                                    \n",
       "ATAGCCTGAAATCGA                                                  0                                                      \n",
       "ACGGAGCCAAACTGA                                                  0                                                      \n",
       "CAGAATAGTACACAT                                                  0                                                      \n",
       "CAAATCCATGATCGT                                                  0                                                      \n",
       "TAATCACCAGTTACA                                                  0                                                      \n",
       "...                                                            ...                                                      \n",
       "TTACCGCCATTCACC                                                  0                                                      \n",
       "AACTGGACGGAACGA                                                  0                                                      \n",
       "GAGTGAGTGGCTTAG                                                  0                                                      \n",
       "CATGAAATTGGTTCC                                                  0                                                      \n",
       "AGTAAATAACCCCCA                                                  0                                                      \n",
       "\n",
       "[12145 rows x 43 columns]"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import the taxonomy assignment data for each barcode\n",
    "\n",
    "#get the list of files from the OTU-blast output\n",
    "files = os.listdir(os.getcwd())\n",
    "files = [f for f in files if f.find(\"BLAST99.txt\") != -1]\n",
    "files.sort()\n",
    "\n",
    "rdfs = [] #rdfs holds the taxonomy data as dataframes\n",
    "for f in files:\n",
    "#Lets import the file\n",
    "    filename = f\n",
    "    with open(filename, \"r\") as infile:\n",
    "        rdfs.append(pd.read_csv(f, sep = \"\\t\").set_index(\"head\"))\n",
    "        \n",
    "rdfs[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "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>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Actinomycetales;D_4__Actinomycetaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Bifidobacteriales;D_4__Bifidobacteriaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Micrococcales;D_4__Micrococcaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Propionibacteriales;D_4__Propionibacteriaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Atopobiaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriales Incertae Sedis</th>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Eggerthellaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Bacteroidaceae</th>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Barnesiellaceae</th>\n",
       "      <th>...</th>\n",
       "      <th>PputidadnaG</th>\n",
       "      <th>SepidermdnaG</th>\n",
       "      <th>rep-cluster-1320</th>\n",
       "      <th>rep-cluster-1351</th>\n",
       "      <th>rep-cluster-1702</th>\n",
       "      <th>rep-cluster-1778</th>\n",
       "      <th>rep-cluster-1817</th>\n",
       "      <th>rep-cluster-1868</th>\n",
       "      <th>rep-cluster-414</th>\n",
       "      <th>rep-cluster-663</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ATAGCCTGAAATCGA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACGGAGCCAAACTGA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAGAATAGTACACAT</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4953</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAAATCCATGATCGT</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAATCACCAGTTACA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTACCGCCATTCACC</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACTGGACGGAACGA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GAGTGAGTGGCTTAG</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CATGAAATTGGTTCC</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AGTAAATAACCCCCA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12145 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Actinomycetales;D_4__Actinomycetaceae  \\\n",
       "head                                                                                                                \n",
       "ATAGCCTGAAATCGA                                                  0                                                  \n",
       "ACGGAGCCAAACTGA                                                  0                                                  \n",
       "CAGAATAGTACACAT                                                  0                                                  \n",
       "CAAATCCATGATCGT                                                  0                                                  \n",
       "TAATCACCAGTTACA                                                  0                                                  \n",
       "...                                                            ...                                                  \n",
       "TTACCGCCATTCACC                                                  0                                                  \n",
       "AACTGGACGGAACGA                                                  0                                                  \n",
       "GAGTGAGTGGCTTAG                                                  0                                                  \n",
       "CATGAAATTGGTTCC                                                  0                                                  \n",
       "AGTAAATAACCCCCA                                                  0                                                  \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Bifidobacteriales;D_4__Bifidobacteriaceae  \\\n",
       "head                                                                                                                    \n",
       "ATAGCCTGAAATCGA                                                  0                                                      \n",
       "ACGGAGCCAAACTGA                                                  0                                                      \n",
       "CAGAATAGTACACAT                                                  0                                                      \n",
       "CAAATCCATGATCGT                                                  0                                                      \n",
       "TAATCACCAGTTACA                                                  0                                                      \n",
       "...                                                            ...                                                      \n",
       "TTACCGCCATTCACC                                                  0                                                      \n",
       "AACTGGACGGAACGA                                                  0                                                      \n",
       "GAGTGAGTGGCTTAG                                                  0                                                      \n",
       "CATGAAATTGGTTCC                                                  0                                                      \n",
       "AGTAAATAACCCCCA                                                  0                                                      \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Micrococcales;D_4__Micrococcaceae  \\\n",
       "head                                                                                                            \n",
       "ATAGCCTGAAATCGA                                                  0                                              \n",
       "ACGGAGCCAAACTGA                                                  0                                              \n",
       "CAGAATAGTACACAT                                                  0                                              \n",
       "CAAATCCATGATCGT                                                  0                                              \n",
       "TAATCACCAGTTACA                                                  0                                              \n",
       "...                                                            ...                                              \n",
       "TTACCGCCATTCACC                                                  0                                              \n",
       "AACTGGACGGAACGA                                                  0                                              \n",
       "GAGTGAGTGGCTTAG                                                  0                                              \n",
       "CATGAAATTGGTTCC                                                  0                                              \n",
       "AGTAAATAACCCCCA                                                  0                                              \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Propionibacteriales;D_4__Propionibacteriaceae  \\\n",
       "head                                                                                                                        \n",
       "ATAGCCTGAAATCGA                                                  0                                                          \n",
       "ACGGAGCCAAACTGA                                                  0                                                          \n",
       "CAGAATAGTACACAT                                                  0                                                          \n",
       "CAAATCCATGATCGT                                                  0                                                          \n",
       "TAATCACCAGTTACA                                                  0                                                          \n",
       "...                                                            ...                                                          \n",
       "TTACCGCCATTCACC                                                  0                                                          \n",
       "AACTGGACGGAACGA                                                  0                                                          \n",
       "GAGTGAGTGGCTTAG                                                  0                                                          \n",
       "CATGAAATTGGTTCC                                                  0                                                          \n",
       "AGTAAATAACCCCCA                                                  0                                                          \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Atopobiaceae  \\\n",
       "head                                                                                                             \n",
       "ATAGCCTGAAATCGA                                                  0                                               \n",
       "ACGGAGCCAAACTGA                                                  0                                               \n",
       "CAGAATAGTACACAT                                                  0                                               \n",
       "CAAATCCATGATCGT                                                  0                                               \n",
       "TAATCACCAGTTACA                                                  0                                               \n",
       "...                                                            ...                                               \n",
       "TTACCGCCATTCACC                                                  0                                               \n",
       "AACTGGACGGAACGA                                                  0                                               \n",
       "GAGTGAGTGGCTTAG                                                  0                                               \n",
       "CATGAAATTGGTTCC                                                  0                                               \n",
       "AGTAAATAACCCCCA                                                  0                                               \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriaceae  \\\n",
       "head                                                                                                                  \n",
       "ATAGCCTGAAATCGA                                                  0                                                    \n",
       "ACGGAGCCAAACTGA                                                  0                                                    \n",
       "CAGAATAGTACACAT                                               4953                                                    \n",
       "CAAATCCATGATCGT                                                  0                                                    \n",
       "TAATCACCAGTTACA                                                  0                                                    \n",
       "...                                                            ...                                                    \n",
       "TTACCGCCATTCACC                                                  0                                                    \n",
       "AACTGGACGGAACGA                                                  0                                                    \n",
       "GAGTGAGTGGCTTAG                                                  0                                                    \n",
       "CATGAAATTGGTTCC                                                  0                                                    \n",
       "AGTAAATAACCCCCA                                                  0                                                    \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriales Incertae Sedis  \\\n",
       "head                                                                                                                                \n",
       "ATAGCCTGAAATCGA                                                  0                                                                  \n",
       "ACGGAGCCAAACTGA                                                  0                                                                  \n",
       "CAGAATAGTACACAT                                                  0                                                                  \n",
       "CAAATCCATGATCGT                                                  0                                                                  \n",
       "TAATCACCAGTTACA                                                  0                                                                  \n",
       "...                                                            ...                                                                  \n",
       "TTACCGCCATTCACC                                                  0                                                                  \n",
       "AACTGGACGGAACGA                                                  0                                                                  \n",
       "GAGTGAGTGGCTTAG                                                  0                                                                  \n",
       "CATGAAATTGGTTCC                                                 44                                                                  \n",
       "AGTAAATAACCCCCA                                                  0                                                                  \n",
       "\n",
       "                 D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Eggerthellaceae  \\\n",
       "head                                                                                                                \n",
       "ATAGCCTGAAATCGA                                                  0                                                  \n",
       "ACGGAGCCAAACTGA                                                  0                                                  \n",
       "CAGAATAGTACACAT                                                  0                                                  \n",
       "CAAATCCATGATCGT                                                  0                                                  \n",
       "TAATCACCAGTTACA                                                  0                                                  \n",
       "...                                                            ...                                                  \n",
       "TTACCGCCATTCACC                                                  0                                                  \n",
       "AACTGGACGGAACGA                                                  0                                                  \n",
       "GAGTGAGTGGCTTAG                                                  0                                                  \n",
       "CATGAAATTGGTTCC                                                  0                                                  \n",
       "AGTAAATAACCCCCA                                                  0                                                  \n",
       "\n",
       "                 D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Bacteroidaceae  \\\n",
       "head                                                                                                        \n",
       "ATAGCCTGAAATCGA                                                  0                                          \n",
       "ACGGAGCCAAACTGA                                                  0                                          \n",
       "CAGAATAGTACACAT                                                  0                                          \n",
       "CAAATCCATGATCGT                                                  0                                          \n",
       "TAATCACCAGTTACA                                                  0                                          \n",
       "...                                                            ...                                          \n",
       "TTACCGCCATTCACC                                                  0                                          \n",
       "AACTGGACGGAACGA                                                  0                                          \n",
       "GAGTGAGTGGCTTAG                                                  0                                          \n",
       "CATGAAATTGGTTCC                                                  0                                          \n",
       "AGTAAATAACCCCCA                                                  0                                          \n",
       "\n",
       "                 D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Barnesiellaceae  \\\n",
       "head                                                                                                         \n",
       "ATAGCCTGAAATCGA                                                  0                                           \n",
       "ACGGAGCCAAACTGA                                                  0                                           \n",
       "CAGAATAGTACACAT                                                  0                                           \n",
       "CAAATCCATGATCGT                                                  0                                           \n",
       "TAATCACCAGTTACA                                                  0                                           \n",
       "...                                                            ...                                           \n",
       "TTACCGCCATTCACC                                                  0                                           \n",
       "AACTGGACGGAACGA                                                  0                                           \n",
       "GAGTGAGTGGCTTAG                                                  0                                           \n",
       "CATGAAATTGGTTCC                                                  0                                           \n",
       "AGTAAATAACCCCCA                                                  0                                           \n",
       "\n",
       "                 ...  PputidadnaG  SepidermdnaG  rep-cluster-1320  \\\n",
       "head             ...                                                \n",
       "ATAGCCTGAAATCGA  ...          0.0           0.0               0.0   \n",
       "ACGGAGCCAAACTGA  ...          0.0           0.0               0.0   \n",
       "CAGAATAGTACACAT  ...          0.0           0.0               0.0   \n",
       "CAAATCCATGATCGT  ...          0.0           0.0               0.0   \n",
       "TAATCACCAGTTACA  ...          0.0           0.0               0.0   \n",
       "...              ...          ...           ...               ...   \n",
       "TTACCGCCATTCACC  ...          0.0           0.0               0.0   \n",
       "AACTGGACGGAACGA  ...          0.0           0.0               0.0   \n",
       "GAGTGAGTGGCTTAG  ...          0.0           0.0               0.0   \n",
       "CATGAAATTGGTTCC  ...          0.0           0.0               0.0   \n",
       "AGTAAATAACCCCCA  ...          0.0           0.0               0.0   \n",
       "\n",
       "                 rep-cluster-1351  rep-cluster-1702  rep-cluster-1778  \\\n",
       "head                                                                    \n",
       "ATAGCCTGAAATCGA               0.0               0.0               0.0   \n",
       "ACGGAGCCAAACTGA               0.0               0.0               0.0   \n",
       "CAGAATAGTACACAT               0.0               0.0               0.0   \n",
       "CAAATCCATGATCGT               0.0               0.0               0.0   \n",
       "TAATCACCAGTTACA               0.0               0.0               0.0   \n",
       "...                           ...               ...               ...   \n",
       "TTACCGCCATTCACC               0.0               0.0               0.0   \n",
       "AACTGGACGGAACGA               0.0               0.0               0.0   \n",
       "GAGTGAGTGGCTTAG               0.0               0.0               0.0   \n",
       "CATGAAATTGGTTCC               0.0               0.0               0.0   \n",
       "AGTAAATAACCCCCA               0.0               0.0               0.0   \n",
       "\n",
       "                 rep-cluster-1817  rep-cluster-1868  rep-cluster-414  \\\n",
       "head                                                                   \n",
       "ATAGCCTGAAATCGA               0.0               0.0              0.0   \n",
       "ACGGAGCCAAACTGA               0.0               0.0              0.0   \n",
       "CAGAATAGTACACAT               0.0               0.0              0.0   \n",
       "CAAATCCATGATCGT               0.0               0.0              0.0   \n",
       "TAATCACCAGTTACA               0.0               0.0              0.0   \n",
       "...                           ...               ...              ...   \n",
       "TTACCGCCATTCACC               0.0               0.0              0.0   \n",
       "AACTGGACGGAACGA               0.0               0.0              0.0   \n",
       "GAGTGAGTGGCTTAG               0.0               0.0              0.0   \n",
       "CATGAAATTGGTTCC               0.0               0.0              0.0   \n",
       "AGTAAATAACCCCCA               0.0               0.0              0.0   \n",
       "\n",
       "                 rep-cluster-663  \n",
       "head                              \n",
       "ATAGCCTGAAATCGA              0.0  \n",
       "ACGGAGCCAAACTGA              0.0  \n",
       "CAGAATAGTACACAT              0.0  \n",
       "CAAATCCATGATCGT              0.0  \n",
       "TAATCACCAGTTACA              0.0  \n",
       "...                          ...  \n",
       "TTACCGCCATTCACC              0.0  \n",
       "AACTGGACGGAACGA              0.0  \n",
       "GAGTGAGTGGCTTAG              0.0  \n",
       "CATGAAATTGGTTCC              0.0  \n",
       "AGTAAATAACCCCCA              0.0  \n",
       "\n",
       "[12145 rows x 54 columns]"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merge the taxonomy DF with the Target genes DF\n",
    "dfs = []\n",
    "for i in range(len(rdfs)):\n",
    "    dfs.append(rdfs[i].join(Targdfs[i]).fillna(0))\n",
    "dfs[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#QC the barcode grouped reads to remove groups that have too few reads\n",
    "\n",
    "#vlines define the minimum number of reads that a group of reads need to contain to be considered for further analysis\n",
    "vlines = [100, 80, 200, 60, 80, 80, 200, 100]\n",
    "\n",
    "fig, axs = plot.subplots(1, len(dfs), figsize = [3*len(dfs), 5])\n",
    "fig.tight_layout()    \n",
    "\n",
    "#jackpottocurve is a cumulative histogram of the read groups based on how many reads are in the group\n",
    "def jackpottocurve(fig, ax, barsize, vline):\n",
    "        #prepare data to plot the jackpottocurve\n",
    "        X = np.array(barsize) #make an np array of the data so we can use the various np functions\n",
    "        X.sort()\n",
    "        X_lorenz = X.cumsum() / X.sum() #turns it into a cumsum percentage (for y-axis)\n",
    "        X_lorenz = np.insert(X_lorenz, 0, 0) #insert the 0,0 point\n",
    "        X = np.insert(X, 0, 0) #insert 0,0 point for X as well\n",
    "    \n",
    "        ## scatter plot of the jackpottocurve (modificaiton of the lorenz curve)\n",
    "        ax.scatter(X, X_lorenz, \n",
    "                   marker='o', color='darkgreen', s=100) #x axis is cumulative barcode number, yaxis is cumulative total # reads\n",
    "        ax.set_title(f\"lib-{prefix[i]}\")\n",
    "        ax.set_xlim((1,max(barsize)))\n",
    "        ax.set_xscale(\"log\", basex=10)\n",
    "        ax.set_xlabel(\"Bargroups ranked by Size\")\n",
    "        ax.set_ylabel(\"Cumulative Reads Used\")\n",
    "        ax.vlines(vline, 0, 1)\n",
    "        return\n",
    "\n",
    "\n",
    "\n",
    "for i in range(len(dfs)):\n",
    "    sumreads = dfs[i].sum(axis = 1)\n",
    "    #plot them on the figure\n",
    "    ax = axs[i]\n",
    "    jackpottocurve(fig, ax, sumreads, vlines[i])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filtering out barcodes with less than 100 reads\n",
      "37-2--zymofecalreplicons pre-filter has 12145 barcodes\n",
      "37-2--zymofecalreplicons post-filter has 10252 barcodes\n",
      "filtering out barcodes with less than 80 reads\n",
      "37-3--zymofecalreplicons pre-filter has 2316 barcodes\n",
      "37-3--zymofecalreplicons post-filter has 1855 barcodes\n",
      "filtering out barcodes with less than 200 reads\n",
      "37-4--zymofecalreplicons pre-filter has 11995 barcodes\n",
      "37-4--zymofecalreplicons post-filter has 9899 barcodes\n",
      "filtering out barcodes with less than 60 reads\n",
      "38-7-zymofecalreplicons pre-filter has 56743 barcodes\n",
      "38-7-zymofecalreplicons post-filter has 52501 barcodes\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/flan3@ad.wisc.edu/.conda/envs/default-FM/lib/python3.8/site-packages/pandas/core/frame.py:3990: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    }
   ],
   "source": [
    "#cutoff dfs with less than n reads based on vlines\n",
    "for i in range(len(dfs)):\n",
    "    n = vlines[i]\n",
    "    print(f\"filtering out barcodes with less than {n} reads\")\n",
    "    print (f\"{prefix[i]} pre-filter has {len(dfs[i])} barcodes\")\n",
    "    dfs[i][\"num reads\"] = dfs[i].sum(axis = 1)\n",
    "    dfs[i] = dfs[i][dfs[i][\"num reads\"] >= n]\n",
    "    dfs[i].drop(columns = \"num reads\", inplace = True)\n",
    "    print (f\"{prefix[i]} post-filter has {len(dfs[i])} barcodes\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#check the purity of the groups - purity is defined as the fraction of reads that map to the most abundant species - \n",
    "#groups that contain only 1 species should have a purity of 1\n",
    "\n",
    "fig, axs = plot.subplots(1,len(dfs), figsize = (10, 2))\n",
    "fig.tight_layout()\n",
    "\n",
    "for i in range(len(dfs)):\n",
    "    df = rdfs[i]\n",
    "    df = df.div(df.sum(axis=1), axis=0)\n",
    "    purity = []\n",
    "    for index, row in df.iterrows():\n",
    "        purity.append(max(row))\n",
    "    ax = axs[i]\n",
    "    ax.hist(purity, bins = 100, color = cpallet[i])\n",
    "    #ax.set_yscale(\"log\")\n",
    "    ax.set_title(f\"lib{i+1}\")\n",
    "    ax.set_xlabel(\"fraction of majority species\")\n",
    "    \n",
    "#the histogram should show the majority of barcode groups have a purity of close to 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Summary table as a function:\n",
    "#1. takes any df, normalizes it\n",
    "#2. removes 16S columns and add the species name as a column\n",
    "#3. discretizes presence/absence based on cutoff\n",
    "#4. makes summary table\n",
    "\n",
    "def summarytable(df, cutoff):\n",
    "    #1. normalizes df\n",
    "    df = df.div(df.sum(axis=1), axis=0)\n",
    "    #2. removes 16S columns and add the species name as a column\n",
    "    #generate 16S only subdf\n",
    "    species = [s for s in df.columns if s.find(\"Bacteria\") != -1]\n",
    "    df16S = df.reindex(columns = species)\n",
    "    #find the identity of the species for that barcode\n",
    "    specieslist = []\n",
    "    for index, row in df16S.iterrows():\n",
    "        specieslist.append(df16S.columns[list(row).index(max(row))])  #find the max 16S column        \n",
    "    #3. discretizes df based on cutoff\n",
    "    df = df.applymap(lambda x: 0 if x <= cutoff else 1)\n",
    "    #now add the species to the dfs\n",
    "    df['species'] = specieslist\n",
    "    #now remove the 16S columns\n",
    "    ARGs = [g for g in df.columns if g.find(\"Bacteria\") == -1 ]\n",
    "    df = df.reindex(columns = ARGs)\n",
    "    #4 make summary table using splitspecies\n",
    "    splitspecies = df.groupby(df[\"species\"], squeeze = True)\n",
    "    #make a new df based on groups\n",
    "    df = splitspecies.sum()\n",
    "    #grab the total # of groups in each species\n",
    "    totlist = []\n",
    "    for s, d in splitspecies:\n",
    "        totlist.append(len(d))\n",
    "    #add this to the new df as a column\n",
    "    df[\"num_cells\"] = totlist\n",
    "    #get the gene hits as fraction of total\n",
    "    df = df.div(df[\"num_cells\"], axis=0)    \n",
    "    #reinstate the total again (since it got normalized)\n",
    "    df[\"num_cells\"] = totlist\n",
    "    return df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "library 37-2--zymofecalreplicons \n",
      " pre-cutoff # of barcodes 10252\n",
      "post-cutoff for there's only 1 16S target found and at least 10 reads \n",
      " 7548\n",
      "library 37-3--zymofecalreplicons \n",
      " pre-cutoff # of barcodes 1855\n",
      "post-cutoff for there's only 1 16S target found and at least 10 reads \n",
      " 1418\n",
      "library 37-4--zymofecalreplicons \n",
      " pre-cutoff # of barcodes 9899\n",
      "post-cutoff for there's only 1 16S target found and at least 10 reads \n",
      " 7186\n",
      "library 38-7-zymofecalreplicons \n",
      " pre-cutoff # of barcodes 52501\n",
      "post-cutoff for there's only 1 16S target found and at least 10 reads \n",
      " 37345\n"
     ]
    }
   ],
   "source": [
    "#ok make summary table for libraries\n",
    "summary = []\n",
    "n = 10 #number of reads the 16S has at least for cutoff\n",
    "puritycutoff = 0.99 #the cutoff for 16S purity for saying a barcode group contains only one cell\n",
    "cutoff = 0.01 #the cutoff for discretization (for saying a gene is \"present\")\n",
    "for i in range(len(dfs)):\n",
    "    df = dfs[i]\n",
    "    print(f\"library {prefix[i]} \\n pre-cutoff # of barcodes\", len(df))\n",
    "    #filter the library by the 16S portion of the reads -> purity cutoffs\n",
    "    species = [x for x in df.columns if x.find(\"Bacteria\") != -1]\n",
    "    ilist = [] \n",
    "    for index, row in df.iterrows():\n",
    "        s = row.loc[species]\n",
    "        if sum(s) > 0: #ignore the ones w/o 16S reads\n",
    "            if max(s) / sum(s) >= puritycutoff and max(s) >= n: #there purity is 100% and it's more than 3 reads (100% purity is best, 1-5 reads dont' change much)\n",
    "                ilist.append(index)\n",
    "    df = df.reindex(index = ilist) #reindex to obtain purified df\n",
    "    print(f\"post-cutoff for there's only 1 16S target found and at least {n} reads \\n\", len(df))\n",
    "    \n",
    "    summary.append(summarytable(df, cutoff))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Remove taxa with less than 10 cells for more robust results\n",
    "for i in range(len(summary)):\n",
    "    summary[i] = summary[i][summary[i][\"num_cells\"] > 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "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>Col156</th>\n",
       "      <th>rep-cluster-1320</th>\n",
       "      <th>rep-cluster-1351</th>\n",
       "      <th>rep-cluster-1702</th>\n",
       "      <th>rep-cluster-1778</th>\n",
       "      <th>rep-cluster-1817</th>\n",
       "      <th>rep-cluster-1868</th>\n",
       "      <th>rep-cluster-414</th>\n",
       "      <th>rep-cluster-663</th>\n",
       "      <th>num_cells</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>species</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Actinomycetales;D_4__Actinomycetaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Actinobacteria;D_3__Bifidobacteriales;D_4__Bifidobacteriaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>5.72e-01</td>\n",
       "      <td>5.67e-01</td>\n",
       "      <td>9.30e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Atopobiaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.81e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>9.07e-04</td>\n",
       "      <td>1103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Coriobacteriales Incertae Sedis</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobacteriia;D_3__Coriobacteriales;D_4__Eggerthellaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>4.57e-03</td>\n",
       "      <td>4.57e-03</td>\n",
       "      <td>1.14e-02</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.14e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>2.29e-03</td>\n",
       "      <td>875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Bacteroidaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>2.42e-03</td>\n",
       "      <td>2.42e-03</td>\n",
       "      <td>1.31e-01</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>9.69e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.94e-02</td>\n",
       "      <td>413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Marinifilaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.33e-01</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroidia;D_3__Bacteroidales;D_4__Tannerellaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>2.86e-02</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3__Lactobacillales;D_4__Lactobacillaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3__Lactobacillales;D_4__Streptococcaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>2.36e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.75e-01</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Christensenellaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>4.18e-03</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Clostridiaceae 1</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Family XIII</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>5.59e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Lachnospiraceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.09e-04</td>\n",
       "      <td>3.81e-04</td>\n",
       "      <td>2.83e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>2.33e-02</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>5.44e-05</td>\n",
       "      <td>8.71e-04</td>\n",
       "      <td>18373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Peptococcaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Peptostreptococcaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.67e-02</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D_3__Clostridiales;D_4__Ruminococcaceae</th>\n",
       "      <td>1.57e-04</td>\n",
       "      <td>1.42e-03</td>\n",
       "      <td>1.42e-03</td>\n",
       "      <td>1.89e-02</td>\n",
       "      <td>1.57e-04</td>\n",
       "      <td>4.41e-03</td>\n",
       "      <td>6.30e-04</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>6.77e-03</td>\n",
       "      <td>12708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotrichia;D_3__Erysipelotrichales;D_4__Erysipelotrichaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>3.65e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Negativicutes;D_3__Selenomonadales;D_4__Acidaminococcaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.73e-03</td>\n",
       "      <td>1.73e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>3.46e-03</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Firmicutes;D_2__Negativicutes;D_3__Selenomonadales;D_4__Veillonellaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Deltaproteobacteria;D_3__Desulfovibrionales;D_4__Desulfovibrionaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>5.26e-02</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Proteobacteria;D_2__Gammaproteobacteria;D_3__Pseudomonadales;D_4__Moraxellaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verrucomicrobiae;D_3__Verrucomicrobiales;D_4__Akkermansiaceae</th>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      Col156  \\\n",
       "species                                                        \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...  1.57e-04   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...  0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...  0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-1320  \\\n",
       "species                                                                \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          5.72e-01   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          4.57e-03   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          2.42e-03   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          1.09e-04   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          1.42e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...          0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-1351  \\\n",
       "species                                                                \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          5.67e-01   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          4.57e-03   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          2.42e-03   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          3.81e-04   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          1.42e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          1.73e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...          5.26e-02   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...          0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-1702  \\\n",
       "species                                                                \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          9.30e-03   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          1.81e-03   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          1.14e-02   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          1.31e-01   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          1.33e-01   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          2.86e-02   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          2.36e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          5.59e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          2.83e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          1.67e-02   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          1.89e-02   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...          3.65e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          1.73e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...          0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-1778  \\\n",
       "species                                                                \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          1.57e-04   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...          0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-1817  \\\n",
       "species                                                                \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          1.14e-03   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          2.33e-02   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          4.41e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          3.46e-03   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...          0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-1868  \\\n",
       "species                                                                \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          9.69e-03   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...          6.30e-04   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...          0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...          0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-414  \\\n",
       "species                                                               \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...         1.75e-01   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         5.44e-05   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...         0.00e+00   \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...         0.00e+00   \n",
       "\n",
       "                                                    rep-cluster-663  num_cells  \n",
       "species                                                                         \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...         0.00e+00         20  \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Actinoba...         0.00e+00        215  \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         0.00e+00         18  \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         9.07e-04       1103  \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         0.00e+00        166  \n",
       "D_0__Bacteria;D_1__Actinobacteria;D_2__Coriobac...         2.29e-03        875  \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...         1.94e-02        413  \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...         0.00e+00         15  \n",
       "D_0__Bacteria;D_1__Bacteroidetes;D_2__Bacteroid...         0.00e+00         35  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...         0.00e+00         12  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3_...         0.00e+00        424  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         4.18e-03        239  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00         44  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00        179  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         8.71e-04      18373  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00         15  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         0.00e+00         60  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Clostridia;D...         6.77e-03      12708  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Erysipelotri...         0.00e+00       1646  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...         0.00e+00        578  \n",
       "D_0__Bacteria;D_1__Firmicutes;D_2__Negativicute...         0.00e+00         30  \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Deltapro...         0.00e+00         19  \n",
       "D_0__Bacteria;D_1__Proteobacteria;D_2__Gammapro...         0.00e+00         32  \n",
       "D_0__Bacteria;D_1__Verrucomicrobia;D_2__Verruco...         0.00e+00         14  "
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#export the summary table to excel sheet for further analysis\n",
    "with pd.ExcelWriter(f'{samplename}-summarytables.xlsx') as writer:  \n",
    "    for i in range(len(summary)):\n",
    "        summary[i].to_excel(writer, sheet_name = prefix[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#############BELOW ARE FUNCTIONS USED TO PLOT SOME OF THE FIGURES IN THE PAPER#################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot each ARG/Species condition separately, for the glycerol stock duplicates\n",
    "fig, axs = plot.subplots(1,1, figsize = (10, 5))\n",
    "\n",
    "#sort the order by abudance (average) \n",
    "alltables = pd.concat(summary)\n",
    "allmeans = alltables.groupby(level = 0).mean()\n",
    "sorted_index = allmeans.sort_values(\"num_cells\", axis = 0).index\n",
    "\n",
    "data = []\n",
    "libraries = [0,1,2,3] #libraries to include in analysis\n",
    "for i in libraries:\n",
    "    #ARG occupancy per ARG, barplot\n",
    "    table = summary[i].drop(\"num_cells\", axis = 1)\n",
    "    #get data for each point\n",
    "    names = []\n",
    "    values = []\n",
    "    for j, row in table.iterrows():\n",
    "        for idx in row.index:\n",
    "            if row[idx] >= 0.05: #only do for substantial instances (10% occupancy at least)\n",
    "                names.append(str(j)+\" - \"+str(idx))\n",
    "                values.append(row[idx])\n",
    "    #store as a dataframe\n",
    "    data.append(pd.DataFrame(values, index = names))\n",
    "\n",
    "#get the sorted indices to plot in order\n",
    "sorted_index = pd.concat(data).groupby(level = 0).mean().sort_values(0).index\n",
    "\n",
    "#plot a barplot for the average of the data\n",
    "#plot the average as a barplot\n",
    "x = pd.concat(data).groupby(level = 0).mean()\n",
    "x = x.reindex(sorted_index)\n",
    "xlabels = [x.split(\"_\")[-1] for x in x.index]\n",
    "\n",
    "axs.bar(xlabels, x[0], color = cpallet[i+6], linewidth = 1, edgecolor = \"b\", label = f\"{prefix[i]}\")\n",
    "\n",
    "#plot the individual datapoints\n",
    "for i in libraries:\n",
    "    d = data[i].reindex(sorted_index)\n",
    "    axs.plot(xlabels, d.values, linestyle = \"\", ms = 10, color = cpallet[i], marker = \".\", label = f\"{prefix[i]}\")\n",
    "axs.tick_params(axis='x', labelrotation = 90)\n",
    "axs.set_ylabel(\"gene prevalence\")\n",
    "axs.set_xlabel(\"gene prevalence\")\n",
    "axs.set_ylim((0, 1))\n",
    "\n",
    "axs.legend()\n",
    "\n",
    "\n",
    "fig.savefig(\"ZF-prevalences.svg\", format = \"svg\")\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}