bile-acid-analyses.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load bile acid data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On Dec 17th I lost about six hours of work due to a Jupyter autosave issue. So, some of the data in [these slides](https://docs.google.com/presentation/d/1o1oZnMh_QMZhmZy7QMkd6V18J5iyAKZguDoxP49Xg80/edit#slide=id.gf4240ec9e_0_85) is going to need to be regenerated.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/code/crc-udca1\r\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import scipy.stats\n",
    "\n",
    "bile_acids_md = pd.read_csv('./data/ba-md.tsv', sep='\\t', index_col=0)\n",
    "plasma_bile_acids = pd.read_csv(\"./data/2015.12.03-plasma-bile.txt\", sep='\\t', index_col=0).fillna(0).round().T\n",
    "fecal_water_bile_acids = pd.read_csv(\"./data/2015.12.03-fecal-water-bile.txt\", sep='\\t', index_col=0).fillna(0).round().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/miniconda3/envs/crc-udca1/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "bile_acids_md = bile_acids_md.sort(['parent-group', 'parent'], ascending=[1,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order</th>\n",
       "      <th>class</th>\n",
       "      <th>parent-group</th>\n",
       "      <th>type</th>\n",
       "      <th>parent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>primary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CA</td>\n",
       "      <td>parent</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCA</th>\n",
       "      <td>primary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CA</td>\n",
       "      <td>glycine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCA</th>\n",
       "      <td>primary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CA</td>\n",
       "      <td>taurine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDCA</th>\n",
       "      <td>primary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CDCA</td>\n",
       "      <td>parent</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCDCA</th>\n",
       "      <td>primary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CDCA</td>\n",
       "      <td>glycine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCDCA</th>\n",
       "      <td>primary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CDCA</td>\n",
       "      <td>taurine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>more cytotoxic</td>\n",
       "      <td>DCA</td>\n",
       "      <td>parent</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>more cytotoxic</td>\n",
       "      <td>DCA</td>\n",
       "      <td>glycine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TDCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>more cytotoxic</td>\n",
       "      <td>DCA</td>\n",
       "      <td>taurine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>cytotoxic</td>\n",
       "      <td>LCA</td>\n",
       "      <td>parent</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>cytotoxic</td>\n",
       "      <td>LCA</td>\n",
       "      <td>glycine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>cytotoxic</td>\n",
       "      <td>LCA</td>\n",
       "      <td>taurine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UDCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>cytoprotective</td>\n",
       "      <td>UDCA</td>\n",
       "      <td>parent</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUDCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>cytoprotective</td>\n",
       "      <td>UDCA</td>\n",
       "      <td>glycine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TUDCA</th>\n",
       "      <td>secondary</td>\n",
       "      <td>cytoprotective</td>\n",
       "      <td>UDCA</td>\n",
       "      <td>taurine-conjugate</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           order           class parent-group               type parent\n",
       "CA       primary             NaN           CA             parent    yes\n",
       "GCA      primary             NaN           CA  glycine-conjugate     no\n",
       "TCA      primary             NaN           CA  taurine-conjugate     no\n",
       "CDCA     primary             NaN         CDCA             parent    yes\n",
       "GCDCA    primary             NaN         CDCA  glycine-conjugate     no\n",
       "TCDCA    primary             NaN         CDCA  taurine-conjugate     no\n",
       "DCA    secondary  more cytotoxic          DCA             parent    yes\n",
       "GDCA   secondary  more cytotoxic          DCA  glycine-conjugate     no\n",
       "TDCA   secondary  more cytotoxic          DCA  taurine-conjugate     no\n",
       "LCA    secondary       cytotoxic          LCA             parent    yes\n",
       "GLCA   secondary       cytotoxic          LCA  glycine-conjugate     no\n",
       "TLCA   secondary       cytotoxic          LCA  taurine-conjugate     no\n",
       "UDCA   secondary  cytoprotective         UDCA             parent    yes\n",
       "GUDCA  secondary  cytoprotective         UDCA  glycine-conjugate     no\n",
       "TUDCA  secondary  cytoprotective         UDCA  taurine-conjugate     no"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bile_acids_md"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "n_bile_acids = len(bile_acids_md.index)\n",
    "ba_corr_table = pd.DataFrame(np.ones(shape=(n_bile_acids, n_bile_acids)), \n",
    "                             index=bile_acids_md.index,\n",
    "                             columns=bile_acids_md.index)\n",
    "_pcorr = plasma_bile_acids.T.corr()\n",
    "_fwcorr = fecal_water_bile_acids.T.corr()\n",
    "\n",
    "for i in range(n_bile_acids):\n",
    "    for j in range(i):\n",
    "        i_ba = bile_acids_md.index[i] \n",
    "        j_ba = bile_acids_md.index[j]\n",
    "        ba_corr_table[i_ba][j_ba] = _pcorr[i_ba][j_ba]\n",
    "        ba_corr_table[j_ba][i_ba] = _fwcorr[i_ba][j_ba]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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990BVx/uT/h8f3caSkpIy0w//H4QQZaYf/lur1Uon1kOHDi3TjHzz5k3UqlULQMXHzOPK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106518da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.heatmap(ba_corr_table, cmap='coolwarm', center=0.0)\n",
    "_ = ax.set_title('Bile Acid Correlations - Lower triangle: Fecal Water; upper triangle: plasma')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r</th>\n",
       "      <th>p</th>\n",
       "      <th>q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GCDCA</th>\n",
       "      <td>0.201103</td>\n",
       "      <td>4.707943e-03</td>\n",
       "      <td>1.176986e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UDCA</th>\n",
       "      <td>0.525457</td>\n",
       "      <td>2.629354e-15</td>\n",
       "      <td>3.944030e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DCA</th>\n",
       "      <td>0.375907</td>\n",
       "      <td>5.651234e-08</td>\n",
       "      <td>4.238426e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLCA</th>\n",
       "      <td>-0.055838</td>\n",
       "      <td>4.369554e-01</td>\n",
       "      <td>5.461943e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCDCA</th>\n",
       "      <td>0.025341</td>\n",
       "      <td>7.244151e-01</td>\n",
       "      <td>8.358635e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCA</th>\n",
       "      <td>0.238817</td>\n",
       "      <td>7.490565e-04</td>\n",
       "      <td>2.247169e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TDCA</th>\n",
       "      <td>-0.017645</td>\n",
       "      <td>8.060899e-01</td>\n",
       "      <td>8.636678e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>0.137666</td>\n",
       "      <td>5.433365e-02</td>\n",
       "      <td>9.055608e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDCA</th>\n",
       "      <td>0.180566</td>\n",
       "      <td>1.132174e-02</td>\n",
       "      <td>2.426086e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUDCA</th>\n",
       "      <td>0.334019</td>\n",
       "      <td>1.714219e-06</td>\n",
       "      <td>8.571097e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TUDCA</th>\n",
       "      <td>0.174349</td>\n",
       "      <td>1.452439e-02</td>\n",
       "      <td>2.723323e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLCA</th>\n",
       "      <td>0.094404</td>\n",
       "      <td>1.881282e-01</td>\n",
       "      <td>2.602748e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCA</th>\n",
       "      <td>0.093824</td>\n",
       "      <td>1.908682e-01</td>\n",
       "      <td>2.602748e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDCA</th>\n",
       "      <td>0.295052</td>\n",
       "      <td>2.691045e-05</td>\n",
       "      <td>1.009142e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCA</th>\n",
       "      <td>-0.008120</td>\n",
       "      <td>9.100684e-01</td>\n",
       "      <td>9.100684e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              r             p             q\n",
       "GCDCA  0.201103  4.707943e-03  1.176986e-02\n",
       "UDCA   0.525457  2.629354e-15  3.944030e-14\n",
       "DCA    0.375907  5.651234e-08  4.238426e-07\n",
       "TLCA  -0.055838  4.369554e-01  5.461943e-01\n",
       "TCDCA  0.025341  7.244151e-01  8.358635e-01\n",
       "LCA    0.238817  7.490565e-04  2.247169e-03\n",
       "TDCA  -0.017645  8.060899e-01  8.636678e-01\n",
       "CA     0.137666  5.433365e-02  9.055608e-02\n",
       "GDCA   0.180566  1.132174e-02  2.426086e-02\n",
       "GUDCA  0.334019  1.714219e-06  8.571097e-06\n",
       "TUDCA  0.174349  1.452439e-02  2.723323e-02\n",
       "GLCA   0.094404  1.881282e-01  2.602748e-01\n",
       "TCA    0.093824  1.908682e-01  2.602748e-01\n",
       "CDCA   0.295052  2.691045e-05  1.009142e-04\n",
       "GCA   -0.008120  9.100684e-01  9.100684e-01"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import scipy.stats\n",
    "from crc import pairwise_corr_intersect\n",
    "\n",
    "df = pairwise_corr_intersect(fecal_water_bile_acids.T, plasma_bile_acids.T)\n",
    "df.to_csv('fecal-plasma-full.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fecal_water_pg_bile_acids = pd.concat([fecal_water_bile_acids, bile_acids_md], axis=1).groupby(\"parent-group\").sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plasma_pg_bile_acids = pd.concat([plasma_bile_acids, bile_acids_md], axis=1).groupby(\"parent-group\").sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r</th>\n",
       "      <th>p</th>\n",
       "      <th>q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>0.127269</td>\n",
       "      <td>7.546895e-02</td>\n",
       "      <td>7.546895e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DCA</th>\n",
       "      <td>0.340714</td>\n",
       "      <td>1.026544e-06</td>\n",
       "      <td>2.566359e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDCA</th>\n",
       "      <td>0.266508</td>\n",
       "      <td>1.595170e-04</td>\n",
       "      <td>2.658616e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UDCA</th>\n",
       "      <td>0.556106</td>\n",
       "      <td>2.638774e-17</td>\n",
       "      <td>1.319387e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCA</th>\n",
       "      <td>0.200920</td>\n",
       "      <td>4.746637e-03</td>\n",
       "      <td>5.933297e-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             r             p             q\n",
       "CA    0.127269  7.546895e-02  7.546895e-02\n",
       "DCA   0.340714  1.026544e-06  2.566359e-06\n",
       "CDCA  0.266508  1.595170e-04  2.658616e-04\n",
       "UDCA  0.556106  2.638774e-17  1.319387e-16\n",
       "LCA   0.200920  4.746637e-03  5.933297e-03"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pairwise_corr_intersect(fecal_water_pg_bile_acids.T, plasma_pg_bile_acids.T)\n",
    "df.to_csv('fecal-plasma-parent-group.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load sample metadata including phylum abundances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/miniconda3/envs/crc-udca1/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "sample_md = pd.read_csv(\"./master-map.tsv\", sep='\\t', index_col=\"#SampleID\").replace(\"no_data\", np.nan).convert_objects(convert_numeric=True)\n",
    "phyla_table = pd.read_csv(\"./data/combined-derep.rdp-tax-99.ms2.taxa-tables/combined-derep.rdp-tax-99.ms2_L2.txt\", skiprows=1, sep='\\t', header=0, index_col=0).T\n",
    "sample_md = pd.concat([sample_md, phyla_table], axis=1)\n",
    "# Collapse samples by patient for comparison to full bile acid tables\n",
    "pt_md = sample_md.groupby(\"ptid\").median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "      <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>...</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>udca.trial.74MYRQPORAQFW</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>...</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>986 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "#OTU ID                   Unclassified;Other  k__Archaea;Other  \\\n",
       "udca.trial.3D3GJ5AN17Z83                 9.0               0.0   \n",
       "udca.trial.3BZF24H1SU9RY                14.0               0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                17.0               0.0   \n",
       "udca.trial.562LB46Q3NS54                24.0               0.0   \n",
       "udca.trial.4BT8BR002U43P                50.0               0.0   \n",
       "udca.trial.8Q3644O2FDPV                 14.0               0.0   \n",
       "udca.trial.1OY031GAP9ZY3                13.0               0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                25.0               0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                16.0               0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                14.0               0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                19.0               0.0   \n",
       "udca.trial.728LA4RZSTAHR                13.0               0.0   \n",
       "udca.trial.19D6JKPRCOGMI                21.0               0.0   \n",
       "udca.trial.6OIL635J79T9M                 7.0               0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                20.0               0.0   \n",
       "udca.trial.25S4BJS0CONMM                24.0               0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                12.0               0.0   \n",
       "udca.trial.22W0HOU9Y3F29                31.0               0.0   \n",
       "udca.trial.23S1O3WCJ76MD                 5.0               0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                16.0               0.0   \n",
       "udca.trial.6EVHFIABTJT17                30.0               0.0   \n",
       "udca.trial.5GGH03CF0250U                 8.0               0.0   \n",
       "udca.trial.507MKTBBPMS16                16.0               0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                13.0               0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                58.0               0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                 19.0               0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                 14.0               0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                 9.0               0.0   \n",
       "udca.trial.UB4NWI6VHC27                  8.0               0.0   \n",
       "udca.trial.67WH86LC753H4                19.0               0.0   \n",
       "...                                      ...               ...   \n",
       "udca.trial.1J9BWAVESZ0W0                 1.0               0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                 0.0               0.0   \n",
       "udca.trial.46CKFM6MTT2XN                 0.0               0.0   \n",
       "udca.trial.7L92PN9VRFG8E                 0.0               0.0   \n",
       "udca.trial.8J471W2UG1YW                  0.0               0.0   \n",
       "udca.trial.7NZXBHG13L9VY                 0.0               0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                 0.0               0.0   \n",
       "udca.trial.4R42WF9QJC5NG                 0.0               0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                 0.0               0.0   \n",
       "udca.trial.5DQNPSP736XIC                 0.0               0.0   \n",
       "udca.trial.5MXQV61D6D1YP                 0.0               0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                 0.0               0.0   \n",
       "udca.trial.67HWOV7G52RWJ                 0.0               0.0   \n",
       "udca.trial.49TY2PEZLDM6V                 0.0               0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                 0.0               0.0   \n",
       "udca.trial.2ISDSQMWUUECI                 0.0               0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                 0.0               0.0   \n",
       "udca.trial.60FQOLWB4MLAT                 0.0               0.0   \n",
       "udca.trial.57VOZHTSP5XEE                 0.0               0.0   \n",
       "udca.trial.G2IPDHZNMYO                   1.0               0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                 0.0               0.0   \n",
       "udca.trial.O96YJE79H07A                  1.0               0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                 0.0               0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                 0.0               0.0   \n",
       "udca.trial.1967KIH64P4VJ                 0.0               0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                 0.0               0.0   \n",
       "udca.trial.54JKKFD100T1Z                 0.0               0.0   \n",
       "udca.trial.5ARJW7J90HIX4                 0.0               0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                 0.0               0.0   \n",
       "udca.trial.74MYRQPORAQFW                 0.0               0.0   \n",
       "\n",
       "#OTU ID                   k__Archaea;p__Crenarchaeota  \\\n",
       "udca.trial.3D3GJ5AN17Z83                          0.0   \n",
       "udca.trial.3BZF24H1SU9RY                          0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                          0.0   \n",
       "udca.trial.562LB46Q3NS54                          0.0   \n",
       "udca.trial.4BT8BR002U43P                          0.0   \n",
       "udca.trial.8Q3644O2FDPV                           0.0   \n",
       "udca.trial.1OY031GAP9ZY3                          0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                          0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                          0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                          0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                          0.0   \n",
       "udca.trial.728LA4RZSTAHR                          0.0   \n",
       "udca.trial.19D6JKPRCOGMI                          0.0   \n",
       "udca.trial.6OIL635J79T9M                          0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                          0.0   \n",
       "udca.trial.25S4BJS0CONMM                          0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                          0.0   \n",
       "udca.trial.22W0HOU9Y3F29                          0.0   \n",
       "udca.trial.23S1O3WCJ76MD                          0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                          0.0   \n",
       "udca.trial.6EVHFIABTJT17                          0.0   \n",
       "udca.trial.5GGH03CF0250U                          0.0   \n",
       "udca.trial.507MKTBBPMS16                          0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                          0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                          0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                           0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                           0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                          0.0   \n",
       "udca.trial.UB4NWI6VHC27                           0.0   \n",
       "udca.trial.67WH86LC753H4                          0.0   \n",
       "...                                               ...   \n",
       "udca.trial.1J9BWAVESZ0W0                          0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                          0.0   \n",
       "udca.trial.46CKFM6MTT2XN                          0.0   \n",
       "udca.trial.7L92PN9VRFG8E                          0.0   \n",
       "udca.trial.8J471W2UG1YW                           0.0   \n",
       "udca.trial.7NZXBHG13L9VY                          0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                          0.0   \n",
       "udca.trial.4R42WF9QJC5NG                          0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                          0.0   \n",
       "udca.trial.5DQNPSP736XIC                          0.0   \n",
       "udca.trial.5MXQV61D6D1YP                          0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                          0.0   \n",
       "udca.trial.67HWOV7G52RWJ                          0.0   \n",
       "udca.trial.49TY2PEZLDM6V                          0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                          0.0   \n",
       "udca.trial.2ISDSQMWUUECI                          0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                          0.0   \n",
       "udca.trial.60FQOLWB4MLAT                          0.0   \n",
       "udca.trial.57VOZHTSP5XEE                          0.0   \n",
       "udca.trial.G2IPDHZNMYO                            0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                          0.0   \n",
       "udca.trial.O96YJE79H07A                           0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                          0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                          0.0   \n",
       "udca.trial.1967KIH64P4VJ                          0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                          0.0   \n",
       "udca.trial.54JKKFD100T1Z                          0.0   \n",
       "udca.trial.5ARJW7J90HIX4                          0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                          0.0   \n",
       "udca.trial.74MYRQPORAQFW                          0.0   \n",
       "\n",
       "#OTU ID                   k__Archaea;p__Euryarchaeota  k__Bacteria;Other  \\\n",
       "udca.trial.3D3GJ5AN17Z83                          0.0              111.0   \n",
       "udca.trial.3BZF24H1SU9RY                          0.0              106.0   \n",
       "udca.trial.5YXEDF0OR8WWS                          2.0              154.0   \n",
       "udca.trial.562LB46Q3NS54                          1.0              210.0   \n",
       "udca.trial.4BT8BR002U43P                          3.0              376.0   \n",
       "udca.trial.8Q3644O2FDPV                           0.0              183.0   \n",
       "udca.trial.1OY031GAP9ZY3                          0.0              148.0   \n",
       "udca.trial.4K4AAPA3KWGZY                          2.0              170.0   \n",
       "udca.trial.6OAKVHE0JZVDL                          0.0              151.0   \n",
       "udca.trial.1UA75JSQ7WLAR                          0.0              112.0   \n",
       "udca.trial.67TQ5LLEMAKHW                      30098.0              250.0   \n",
       "udca.trial.728LA4RZSTAHR                          1.0              158.0   \n",
       "udca.trial.19D6JKPRCOGMI                         74.0              189.0   \n",
       "udca.trial.6OIL635J79T9M                          3.0              165.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                          2.0              149.0   \n",
       "udca.trial.25S4BJS0CONMM                       1383.0              197.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                       6600.0               83.0   \n",
       "udca.trial.22W0HOU9Y3F29                      17497.0              219.0   \n",
       "udca.trial.23S1O3WCJ76MD                          1.0              122.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                          1.0              157.0   \n",
       "udca.trial.6EVHFIABTJT17                          1.0              195.0   \n",
       "udca.trial.5GGH03CF0250U                          1.0              108.0   \n",
       "udca.trial.507MKTBBPMS16                          0.0              134.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                       2111.0              133.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                       3032.0              297.0   \n",
       "udca.trial.8Y3GPW6PPBLW                        1226.0              155.0   \n",
       "udca.trial.JBZ5P1VM3OHM                        7469.0               93.0   \n",
       "udca.trial.6K7OI0MRC6EDV                          0.0              186.0   \n",
       "udca.trial.UB4NWI6VHC27                           0.0              137.0   \n",
       "udca.trial.67WH86LC753H4                          1.0              129.0   \n",
       "...                                               ...                ...   \n",
       "udca.trial.1J9BWAVESZ0W0                          0.0                2.0   \n",
       "udca.trial.6JKG0LMUQDJT7                          0.0                2.0   \n",
       "udca.trial.46CKFM6MTT2XN                          0.0                0.0   \n",
       "udca.trial.7L92PN9VRFG8E                          0.0                0.0   \n",
       "udca.trial.8J471W2UG1YW                           0.0                0.0   \n",
       "udca.trial.7NZXBHG13L9VY                          0.0                0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                          0.0                1.0   \n",
       "udca.trial.4R42WF9QJC5NG                          0.0                1.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                          0.0                1.0   \n",
       "udca.trial.5DQNPSP736XIC                          0.0                1.0   \n",
       "udca.trial.5MXQV61D6D1YP                          0.0                0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                          0.0                0.0   \n",
       "udca.trial.67HWOV7G52RWJ                          0.0                1.0   \n",
       "udca.trial.49TY2PEZLDM6V                          0.0                0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                          0.0                1.0   \n",
       "udca.trial.2ISDSQMWUUECI                          0.0                0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                          0.0                0.0   \n",
       "udca.trial.60FQOLWB4MLAT                          0.0                1.0   \n",
       "udca.trial.57VOZHTSP5XEE                          0.0                1.0   \n",
       "udca.trial.G2IPDHZNMYO                            0.0                0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                          0.0                0.0   \n",
       "udca.trial.O96YJE79H07A                           0.0                0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                          0.0                1.0   \n",
       "udca.trial.6M8SH01CKYHJ6                          0.0                1.0   \n",
       "udca.trial.1967KIH64P4VJ                          0.0                0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                          0.0                0.0   \n",
       "udca.trial.54JKKFD100T1Z                          0.0                0.0   \n",
       "udca.trial.5ARJW7J90HIX4                          0.0                0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                          0.0                0.0   \n",
       "udca.trial.74MYRQPORAQFW                          0.0                0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Acidobacteria  \\\n",
       "udca.trial.3D3GJ5AN17Z83                           0.0   \n",
       "udca.trial.3BZF24H1SU9RY                           0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                           0.0   \n",
       "udca.trial.562LB46Q3NS54                           0.0   \n",
       "udca.trial.4BT8BR002U43P                           0.0   \n",
       "udca.trial.8Q3644O2FDPV                            0.0   \n",
       "udca.trial.1OY031GAP9ZY3                           0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                           0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                           0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                           0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                           0.0   \n",
       "udca.trial.728LA4RZSTAHR                           0.0   \n",
       "udca.trial.19D6JKPRCOGMI                           0.0   \n",
       "udca.trial.6OIL635J79T9M                           0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                           0.0   \n",
       "udca.trial.25S4BJS0CONMM                           0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                           0.0   \n",
       "udca.trial.22W0HOU9Y3F29                           0.0   \n",
       "udca.trial.23S1O3WCJ76MD                           0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                           0.0   \n",
       "udca.trial.6EVHFIABTJT17                           0.0   \n",
       "udca.trial.5GGH03CF0250U                           0.0   \n",
       "udca.trial.507MKTBBPMS16                           0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                           0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                           0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                            0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                            0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                           0.0   \n",
       "udca.trial.UB4NWI6VHC27                            0.0   \n",
       "udca.trial.67WH86LC753H4                           0.0   \n",
       "...                                                ...   \n",
       "udca.trial.1J9BWAVESZ0W0                           0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                           0.0   \n",
       "udca.trial.46CKFM6MTT2XN                           0.0   \n",
       "udca.trial.7L92PN9VRFG8E                           0.0   \n",
       "udca.trial.8J471W2UG1YW                            0.0   \n",
       "udca.trial.7NZXBHG13L9VY                           0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                           0.0   \n",
       "udca.trial.4R42WF9QJC5NG                           0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                           0.0   \n",
       "udca.trial.5DQNPSP736XIC                           0.0   \n",
       "udca.trial.5MXQV61D6D1YP                           0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                           0.0   \n",
       "udca.trial.67HWOV7G52RWJ                           0.0   \n",
       "udca.trial.49TY2PEZLDM6V                           0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                           0.0   \n",
       "udca.trial.2ISDSQMWUUECI                           0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                           0.0   \n",
       "udca.trial.60FQOLWB4MLAT                           0.0   \n",
       "udca.trial.57VOZHTSP5XEE                           0.0   \n",
       "udca.trial.G2IPDHZNMYO                             0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                           0.0   \n",
       "udca.trial.O96YJE79H07A                            0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                           0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                           0.0   \n",
       "udca.trial.1967KIH64P4VJ                           0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                           0.0   \n",
       "udca.trial.54JKKFD100T1Z                           0.0   \n",
       "udca.trial.5ARJW7J90HIX4                           0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                           0.0   \n",
       "udca.trial.74MYRQPORAQFW                           0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Actinobacteria  \\\n",
       "udca.trial.3D3GJ5AN17Z83                          103.0   \n",
       "udca.trial.3BZF24H1SU9RY                          220.0   \n",
       "udca.trial.5YXEDF0OR8WWS                         2555.0   \n",
       "udca.trial.562LB46Q3NS54                         1578.0   \n",
       "udca.trial.4BT8BR002U43P                          162.0   \n",
       "udca.trial.8Q3644O2FDPV                          3495.0   \n",
       "udca.trial.1OY031GAP9ZY3                          113.0   \n",
       "udca.trial.4K4AAPA3KWGZY                           83.0   \n",
       "udca.trial.6OAKVHE0JZVDL                         3348.0   \n",
       "udca.trial.1UA75JSQ7WLAR                         2679.0   \n",
       "udca.trial.67TQ5LLEMAKHW                          327.0   \n",
       "udca.trial.728LA4RZSTAHR                          496.0   \n",
       "udca.trial.19D6JKPRCOGMI                         1135.0   \n",
       "udca.trial.6OIL635J79T9M                         1601.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                         2263.0   \n",
       "udca.trial.25S4BJS0CONMM                          265.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                          143.0   \n",
       "udca.trial.22W0HOU9Y3F29                          115.0   \n",
       "udca.trial.23S1O3WCJ76MD                           88.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                         3659.0   \n",
       "udca.trial.6EVHFIABTJT17                          245.0   \n",
       "udca.trial.5GGH03CF0250U                          820.0   \n",
       "udca.trial.507MKTBBPMS16                          516.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                          275.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                          442.0   \n",
       "udca.trial.8Y3GPW6PPBLW                           308.0   \n",
       "udca.trial.JBZ5P1VM3OHM                           194.0   \n",
       "udca.trial.6K7OI0MRC6EDV                         1104.0   \n",
       "udca.trial.UB4NWI6VHC27                           743.0   \n",
       "udca.trial.67WH86LC753H4                          556.0   \n",
       "...                                                 ...   \n",
       "udca.trial.1J9BWAVESZ0W0                            0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                            0.0   \n",
       "udca.trial.46CKFM6MTT2XN                            0.0   \n",
       "udca.trial.7L92PN9VRFG8E                            0.0   \n",
       "udca.trial.8J471W2UG1YW                             0.0   \n",
       "udca.trial.7NZXBHG13L9VY                            0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                            0.0   \n",
       "udca.trial.4R42WF9QJC5NG                            0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                            0.0   \n",
       "udca.trial.5DQNPSP736XIC                            0.0   \n",
       "udca.trial.5MXQV61D6D1YP                            0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                            0.0   \n",
       "udca.trial.67HWOV7G52RWJ                            0.0   \n",
       "udca.trial.49TY2PEZLDM6V                            0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                            0.0   \n",
       "udca.trial.2ISDSQMWUUECI                            0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                            0.0   \n",
       "udca.trial.60FQOLWB4MLAT                            0.0   \n",
       "udca.trial.57VOZHTSP5XEE                            0.0   \n",
       "udca.trial.G2IPDHZNMYO                              0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                            0.0   \n",
       "udca.trial.O96YJE79H07A                             0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                            0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                            0.0   \n",
       "udca.trial.1967KIH64P4VJ                            0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                            0.0   \n",
       "udca.trial.54JKKFD100T1Z                            0.0   \n",
       "udca.trial.5ARJW7J90HIX4                            0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                            0.0   \n",
       "udca.trial.74MYRQPORAQFW                            0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Bacteroidetes  \\\n",
       "udca.trial.3D3GJ5AN17Z83                       31765.0   \n",
       "udca.trial.3BZF24H1SU9RY                         536.0   \n",
       "udca.trial.5YXEDF0OR8WWS                        4555.0   \n",
       "udca.trial.562LB46Q3NS54                       20027.0   \n",
       "udca.trial.4BT8BR002U43P                         819.0   \n",
       "udca.trial.8Q3644O2FDPV                        25400.0   \n",
       "udca.trial.1OY031GAP9ZY3                         279.0   \n",
       "udca.trial.4K4AAPA3KWGZY                         289.0   \n",
       "udca.trial.6OAKVHE0JZVDL                        1966.0   \n",
       "udca.trial.1UA75JSQ7WLAR                        1044.0   \n",
       "udca.trial.67TQ5LLEMAKHW                        3419.0   \n",
       "udca.trial.728LA4RZSTAHR                        7609.0   \n",
       "udca.trial.19D6JKPRCOGMI                        1130.0   \n",
       "udca.trial.6OIL635J79T9M                       18097.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                        1589.0   \n",
       "udca.trial.25S4BJS0CONMM                       40451.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                        1914.0   \n",
       "udca.trial.22W0HOU9Y3F29                        5592.0   \n",
       "udca.trial.23S1O3WCJ76MD                         887.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                        6113.0   \n",
       "udca.trial.6EVHFIABTJT17                        3891.0   \n",
       "udca.trial.5GGH03CF0250U                        1253.0   \n",
       "udca.trial.507MKTBBPMS16                         938.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                       17711.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                       24583.0   \n",
       "udca.trial.8Y3GPW6PPBLW                        16288.0   \n",
       "udca.trial.JBZ5P1VM3OHM                         1459.0   \n",
       "udca.trial.6K7OI0MRC6EDV                       17454.0   \n",
       "udca.trial.UB4NWI6VHC27                        35046.0   \n",
       "udca.trial.67WH86LC753H4                        1933.0   \n",
       "...                                                ...   \n",
       "udca.trial.1J9BWAVESZ0W0                           0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                           0.0   \n",
       "udca.trial.46CKFM6MTT2XN                           0.0   \n",
       "udca.trial.7L92PN9VRFG8E                           0.0   \n",
       "udca.trial.8J471W2UG1YW                            0.0   \n",
       "udca.trial.7NZXBHG13L9VY                           0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                           0.0   \n",
       "udca.trial.4R42WF9QJC5NG                           0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                           0.0   \n",
       "udca.trial.5DQNPSP736XIC                           0.0   \n",
       "udca.trial.5MXQV61D6D1YP                           0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                           0.0   \n",
       "udca.trial.67HWOV7G52RWJ                           0.0   \n",
       "udca.trial.49TY2PEZLDM6V                           0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                           0.0   \n",
       "udca.trial.2ISDSQMWUUECI                           1.0   \n",
       "udca.trial.1FX7H8EN3TWJL                           0.0   \n",
       "udca.trial.60FQOLWB4MLAT                           0.0   \n",
       "udca.trial.57VOZHTSP5XEE                           0.0   \n",
       "udca.trial.G2IPDHZNMYO                             0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                           0.0   \n",
       "udca.trial.O96YJE79H07A                            0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                           0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                           0.0   \n",
       "udca.trial.1967KIH64P4VJ                           0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                           0.0   \n",
       "udca.trial.54JKKFD100T1Z                           0.0   \n",
       "udca.trial.5ARJW7J90HIX4                           0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                           0.0   \n",
       "udca.trial.74MYRQPORAQFW                           0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Chlamydiae  k__Bacteria;p__Chlorobi  \\\n",
       "udca.trial.3D3GJ5AN17Z83                        0.0                      0.0   \n",
       "udca.trial.3BZF24H1SU9RY                        0.0                      0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                        0.0                      0.0   \n",
       "udca.trial.562LB46Q3NS54                        0.0                      0.0   \n",
       "udca.trial.4BT8BR002U43P                        0.0                      0.0   \n",
       "udca.trial.8Q3644O2FDPV                         0.0                      0.0   \n",
       "udca.trial.1OY031GAP9ZY3                        0.0                      0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                        0.0                      0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                        0.0                      0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                        0.0                      0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                        0.0                      0.0   \n",
       "udca.trial.728LA4RZSTAHR                        0.0                      0.0   \n",
       "udca.trial.19D6JKPRCOGMI                        0.0                      0.0   \n",
       "udca.trial.6OIL635J79T9M                        0.0                      0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                        0.0                      0.0   \n",
       "udca.trial.25S4BJS0CONMM                        0.0                      0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                        0.0                      0.0   \n",
       "udca.trial.22W0HOU9Y3F29                        0.0                      0.0   \n",
       "udca.trial.23S1O3WCJ76MD                        0.0                      0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                        0.0                      0.0   \n",
       "udca.trial.6EVHFIABTJT17                        0.0                      0.0   \n",
       "udca.trial.5GGH03CF0250U                        0.0                      0.0   \n",
       "udca.trial.507MKTBBPMS16                        0.0                      0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                        0.0                      0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                        0.0                      0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                         0.0                      0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                         0.0                      0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                        0.0                      0.0   \n",
       "udca.trial.UB4NWI6VHC27                         0.0                      0.0   \n",
       "udca.trial.67WH86LC753H4                        0.0                      0.0   \n",
       "...                                             ...                      ...   \n",
       "udca.trial.1J9BWAVESZ0W0                        0.0                      0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                        0.0                      0.0   \n",
       "udca.trial.46CKFM6MTT2XN                        0.0                      0.0   \n",
       "udca.trial.7L92PN9VRFG8E                        0.0                      0.0   \n",
       "udca.trial.8J471W2UG1YW                         0.0                      0.0   \n",
       "udca.trial.7NZXBHG13L9VY                        0.0                      0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                        0.0                      0.0   \n",
       "udca.trial.4R42WF9QJC5NG                        0.0                      0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                        0.0                      0.0   \n",
       "udca.trial.5DQNPSP736XIC                        0.0                      0.0   \n",
       "udca.trial.5MXQV61D6D1YP                        0.0                      0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                        0.0                      0.0   \n",
       "udca.trial.67HWOV7G52RWJ                        0.0                      0.0   \n",
       "udca.trial.49TY2PEZLDM6V                        0.0                      0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                        0.0                      0.0   \n",
       "udca.trial.2ISDSQMWUUECI                        0.0                      0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                        0.0                      0.0   \n",
       "udca.trial.60FQOLWB4MLAT                        0.0                      0.0   \n",
       "udca.trial.57VOZHTSP5XEE                        0.0                      0.0   \n",
       "udca.trial.G2IPDHZNMYO                          0.0                      0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                        0.0                      0.0   \n",
       "udca.trial.O96YJE79H07A                         0.0                      0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                        0.0                      0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                        0.0                      0.0   \n",
       "udca.trial.1967KIH64P4VJ                        0.0                      0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                        0.0                      0.0   \n",
       "udca.trial.54JKKFD100T1Z                        0.0                      0.0   \n",
       "udca.trial.5ARJW7J90HIX4                        0.0                      0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                        0.0                      0.0   \n",
       "udca.trial.74MYRQPORAQFW                        0.0                      0.0   \n",
       "\n",
       "#OTU ID                                ...                \\\n",
       "udca.trial.3D3GJ5AN17Z83               ...                 \n",
       "udca.trial.3BZF24H1SU9RY               ...                 \n",
       "udca.trial.5YXEDF0OR8WWS               ...                 \n",
       "udca.trial.562LB46Q3NS54               ...                 \n",
       "udca.trial.4BT8BR002U43P               ...                 \n",
       "udca.trial.8Q3644O2FDPV                ...                 \n",
       "udca.trial.1OY031GAP9ZY3               ...                 \n",
       "udca.trial.4K4AAPA3KWGZY               ...                 \n",
       "udca.trial.6OAKVHE0JZVDL               ...                 \n",
       "udca.trial.1UA75JSQ7WLAR               ...                 \n",
       "udca.trial.67TQ5LLEMAKHW               ...                 \n",
       "udca.trial.728LA4RZSTAHR               ...                 \n",
       "udca.trial.19D6JKPRCOGMI               ...                 \n",
       "udca.trial.6OIL635J79T9M               ...                 \n",
       "udca.trial.1JJ1XY3XLSVM7               ...                 \n",
       "udca.trial.25S4BJS0CONMM               ...                 \n",
       "udca.trial.7OPNYC7L6Z0E7               ...                 \n",
       "udca.trial.22W0HOU9Y3F29               ...                 \n",
       "udca.trial.23S1O3WCJ76MD               ...                 \n",
       "udca.trial.1D82MFPHX7ZQ7               ...                 \n",
       "udca.trial.6EVHFIABTJT17               ...                 \n",
       "udca.trial.5GGH03CF0250U               ...                 \n",
       "udca.trial.507MKTBBPMS16               ...                 \n",
       "udca.trial.2OH1ZH7SR5DEL               ...                 \n",
       "udca.trial.3XF7BW2ZJGT7H               ...                 \n",
       "udca.trial.8Y3GPW6PPBLW                ...                 \n",
       "udca.trial.JBZ5P1VM3OHM                ...                 \n",
       "udca.trial.6K7OI0MRC6EDV               ...                 \n",
       "udca.trial.UB4NWI6VHC27                ...                 \n",
       "udca.trial.67WH86LC753H4               ...                 \n",
       "...                                    ...                 \n",
       "udca.trial.1J9BWAVESZ0W0               ...                 \n",
       "udca.trial.6JKG0LMUQDJT7               ...                 \n",
       "udca.trial.46CKFM6MTT2XN               ...                 \n",
       "udca.trial.7L92PN9VRFG8E               ...                 \n",
       "udca.trial.8J471W2UG1YW                ...                 \n",
       "udca.trial.7NZXBHG13L9VY               ...                 \n",
       "udca.trial.5QCMCTI2GCPAC               ...                 \n",
       "udca.trial.4R42WF9QJC5NG               ...                 \n",
       "udca.trial.2MKIT0MPUJEGZ               ...                 \n",
       "udca.trial.5DQNPSP736XIC               ...                 \n",
       "udca.trial.5MXQV61D6D1YP               ...                 \n",
       "udca.trial.7F0UGPVDNP3BM               ...                 \n",
       "udca.trial.67HWOV7G52RWJ               ...                 \n",
       "udca.trial.49TY2PEZLDM6V               ...                 \n",
       "udca.trial.52JV4H6BDZ6DH               ...                 \n",
       "udca.trial.2ISDSQMWUUECI               ...                 \n",
       "udca.trial.1FX7H8EN3TWJL               ...                 \n",
       "udca.trial.60FQOLWB4MLAT               ...                 \n",
       "udca.trial.57VOZHTSP5XEE               ...                 \n",
       "udca.trial.G2IPDHZNMYO                 ...                 \n",
       "udca.trial.3ZDK8AHN7EDDK               ...                 \n",
       "udca.trial.O96YJE79H07A                ...                 \n",
       "udca.trial.4YOLU4HMLZSY1               ...                 \n",
       "udca.trial.6M8SH01CKYHJ6               ...                 \n",
       "udca.trial.1967KIH64P4VJ               ...                 \n",
       "udca.trial.3A8E0TVU1XCSS               ...                 \n",
       "udca.trial.54JKKFD100T1Z               ...                 \n",
       "udca.trial.5ARJW7J90HIX4               ...                 \n",
       "udca.trial.5TOQRVYU5HTMR               ...                 \n",
       "udca.trial.74MYRQPORAQFW               ...                 \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Lentisphaerae  k__Bacteria;p__NC10  \\\n",
       "udca.trial.3D3GJ5AN17Z83                           0.0                  0.0   \n",
       "udca.trial.3BZF24H1SU9RY                           0.0                  0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                           0.0                  0.0   \n",
       "udca.trial.562LB46Q3NS54                           0.0                  0.0   \n",
       "udca.trial.4BT8BR002U43P                           0.0                  0.0   \n",
       "udca.trial.8Q3644O2FDPV                           16.0                  0.0   \n",
       "udca.trial.1OY031GAP9ZY3                           0.0                  0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                           0.0                  0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                           0.0                  0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                           0.0                  0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                           0.0                  0.0   \n",
       "udca.trial.728LA4RZSTAHR                           0.0                  0.0   \n",
       "udca.trial.19D6JKPRCOGMI                           0.0                  0.0   \n",
       "udca.trial.6OIL635J79T9M                           0.0                  0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                           0.0                  0.0   \n",
       "udca.trial.25S4BJS0CONMM                           0.0                  0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                          17.0                  0.0   \n",
       "udca.trial.22W0HOU9Y3F29                           1.0                  0.0   \n",
       "udca.trial.23S1O3WCJ76MD                           0.0                  0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                           0.0                  0.0   \n",
       "udca.trial.6EVHFIABTJT17                           0.0                  0.0   \n",
       "udca.trial.5GGH03CF0250U                           0.0                  0.0   \n",
       "udca.trial.507MKTBBPMS16                           0.0                  0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                           0.0                  0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                           2.0                  0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                            5.0                  0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                            0.0                  0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                           0.0                  0.0   \n",
       "udca.trial.UB4NWI6VHC27                            0.0                  0.0   \n",
       "udca.trial.67WH86LC753H4                           0.0                  0.0   \n",
       "...                                                ...                  ...   \n",
       "udca.trial.1J9BWAVESZ0W0                           0.0                  0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                           0.0                  0.0   \n",
       "udca.trial.46CKFM6MTT2XN                           0.0                  0.0   \n",
       "udca.trial.7L92PN9VRFG8E                           0.0                  0.0   \n",
       "udca.trial.8J471W2UG1YW                            0.0                  0.0   \n",
       "udca.trial.7NZXBHG13L9VY                           0.0                  0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                           0.0                  0.0   \n",
       "udca.trial.4R42WF9QJC5NG                           0.0                  0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                           0.0                  0.0   \n",
       "udca.trial.5DQNPSP736XIC                           0.0                  0.0   \n",
       "udca.trial.5MXQV61D6D1YP                           0.0                  0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                           0.0                  0.0   \n",
       "udca.trial.67HWOV7G52RWJ                           0.0                  0.0   \n",
       "udca.trial.49TY2PEZLDM6V                           0.0                  0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                           0.0                  0.0   \n",
       "udca.trial.2ISDSQMWUUECI                           0.0                  0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                           0.0                  0.0   \n",
       "udca.trial.60FQOLWB4MLAT                           0.0                  0.0   \n",
       "udca.trial.57VOZHTSP5XEE                           0.0                  0.0   \n",
       "udca.trial.G2IPDHZNMYO                             0.0                  0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                           0.0                  0.0   \n",
       "udca.trial.O96YJE79H07A                            0.0                  0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                           0.0                  0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                           0.0                  0.0   \n",
       "udca.trial.1967KIH64P4VJ                           0.0                  0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                           0.0                  0.0   \n",
       "udca.trial.54JKKFD100T1Z                           0.0                  0.0   \n",
       "udca.trial.5ARJW7J90HIX4                           0.0                  0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                           0.0                  0.0   \n",
       "udca.trial.74MYRQPORAQFW                           0.0                  0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Nitrospirae  \\\n",
       "udca.trial.3D3GJ5AN17Z83                         0.0   \n",
       "udca.trial.3BZF24H1SU9RY                         0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                         0.0   \n",
       "udca.trial.562LB46Q3NS54                         0.0   \n",
       "udca.trial.4BT8BR002U43P                         0.0   \n",
       "udca.trial.8Q3644O2FDPV                          0.0   \n",
       "udca.trial.1OY031GAP9ZY3                         0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                         0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                         0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                         0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                         0.0   \n",
       "udca.trial.728LA4RZSTAHR                         0.0   \n",
       "udca.trial.19D6JKPRCOGMI                         0.0   \n",
       "udca.trial.6OIL635J79T9M                         0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                         0.0   \n",
       "udca.trial.25S4BJS0CONMM                         0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                         0.0   \n",
       "udca.trial.22W0HOU9Y3F29                         0.0   \n",
       "udca.trial.23S1O3WCJ76MD                         0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                         0.0   \n",
       "udca.trial.6EVHFIABTJT17                         0.0   \n",
       "udca.trial.5GGH03CF0250U                         0.0   \n",
       "udca.trial.507MKTBBPMS16                         0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                         0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                         0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                          0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                          0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                         0.0   \n",
       "udca.trial.UB4NWI6VHC27                          0.0   \n",
       "udca.trial.67WH86LC753H4                         0.0   \n",
       "...                                              ...   \n",
       "udca.trial.1J9BWAVESZ0W0                         0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                         0.0   \n",
       "udca.trial.46CKFM6MTT2XN                         0.0   \n",
       "udca.trial.7L92PN9VRFG8E                         0.0   \n",
       "udca.trial.8J471W2UG1YW                          0.0   \n",
       "udca.trial.7NZXBHG13L9VY                         0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                         0.0   \n",
       "udca.trial.4R42WF9QJC5NG                         0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                         0.0   \n",
       "udca.trial.5DQNPSP736XIC                         0.0   \n",
       "udca.trial.5MXQV61D6D1YP                         0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                         0.0   \n",
       "udca.trial.67HWOV7G52RWJ                         0.0   \n",
       "udca.trial.49TY2PEZLDM6V                         0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                         0.0   \n",
       "udca.trial.2ISDSQMWUUECI                         0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                         0.0   \n",
       "udca.trial.60FQOLWB4MLAT                         0.0   \n",
       "udca.trial.57VOZHTSP5XEE                         0.0   \n",
       "udca.trial.G2IPDHZNMYO                           0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                         0.0   \n",
       "udca.trial.O96YJE79H07A                          0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                         0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                         0.0   \n",
       "udca.trial.1967KIH64P4VJ                         0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                         0.0   \n",
       "udca.trial.54JKKFD100T1Z                         0.0   \n",
       "udca.trial.5ARJW7J90HIX4                         0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                         0.0   \n",
       "udca.trial.74MYRQPORAQFW                         0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Proteobacteria  k__Bacteria;p__SR1  \\\n",
       "udca.trial.3D3GJ5AN17Z83                          185.0                 0.0   \n",
       "udca.trial.3BZF24H1SU9RY                          167.0                 0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                         3488.0                 0.0   \n",
       "udca.trial.562LB46Q3NS54                          757.0                 0.0   \n",
       "udca.trial.4BT8BR002U43P                         3135.0                 0.0   \n",
       "udca.trial.8Q3644O2FDPV                          1029.0                 0.0   \n",
       "udca.trial.1OY031GAP9ZY3                          430.0                 0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                          454.0                 0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                          257.0                 0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                          819.0                 0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                          676.0                 0.0   \n",
       "udca.trial.728LA4RZSTAHR                         6460.0                 0.0   \n",
       "udca.trial.19D6JKPRCOGMI                        33586.0                 0.0   \n",
       "udca.trial.6OIL635J79T9M                         4751.0                 0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                          418.0                 0.0   \n",
       "udca.trial.25S4BJS0CONMM                          335.0                 0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                          706.0                 0.0   \n",
       "udca.trial.22W0HOU9Y3F29                        40370.0                 0.0   \n",
       "udca.trial.23S1O3WCJ76MD                          170.0                 0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                          367.0                 0.0   \n",
       "udca.trial.6EVHFIABTJT17                        61460.0                 0.0   \n",
       "udca.trial.5GGH03CF0250U                          313.0                 0.0   \n",
       "udca.trial.507MKTBBPMS16                          368.0                 0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                         2863.0                 0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                         4333.0                 0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                          6759.0                 0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                          2270.0                 0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                        27898.0                 0.0   \n",
       "udca.trial.UB4NWI6VHC27                           363.0                 0.0   \n",
       "udca.trial.67WH86LC753H4                         1761.0                 0.0   \n",
       "...                                                 ...                 ...   \n",
       "udca.trial.1J9BWAVESZ0W0                            1.0                 0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                           10.0                 0.0   \n",
       "udca.trial.46CKFM6MTT2XN                            1.0                 0.0   \n",
       "udca.trial.7L92PN9VRFG8E                            1.0                 0.0   \n",
       "udca.trial.8J471W2UG1YW                             1.0                 0.0   \n",
       "udca.trial.7NZXBHG13L9VY                            2.0                 0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                            0.0                 0.0   \n",
       "udca.trial.4R42WF9QJC5NG                            0.0                 0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                            0.0                 0.0   \n",
       "udca.trial.5DQNPSP736XIC                            0.0                 0.0   \n",
       "udca.trial.5MXQV61D6D1YP                            1.0                 0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                            1.0                 0.0   \n",
       "udca.trial.67HWOV7G52RWJ                            0.0                 0.0   \n",
       "udca.trial.49TY2PEZLDM6V                            1.0                 0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                            1.0                 0.0   \n",
       "udca.trial.2ISDSQMWUUECI                            1.0                 0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                            1.0                 0.0   \n",
       "udca.trial.60FQOLWB4MLAT                            0.0                 0.0   \n",
       "udca.trial.57VOZHTSP5XEE                            0.0                 0.0   \n",
       "udca.trial.G2IPDHZNMYO                              0.0                 0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                            1.0                 0.0   \n",
       "udca.trial.O96YJE79H07A                             1.0                 0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                            0.0                 0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                            0.0                 0.0   \n",
       "udca.trial.1967KIH64P4VJ                            0.0                 0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                            0.0                 0.0   \n",
       "udca.trial.54JKKFD100T1Z                            0.0                 0.0   \n",
       "udca.trial.5ARJW7J90HIX4                            0.0                 0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                            0.0                 0.0   \n",
       "udca.trial.74MYRQPORAQFW                            0.0                 0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Spirochaetes  \\\n",
       "udca.trial.3D3GJ5AN17Z83                          0.0   \n",
       "udca.trial.3BZF24H1SU9RY                          0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                          0.0   \n",
       "udca.trial.562LB46Q3NS54                          0.0   \n",
       "udca.trial.4BT8BR002U43P                          0.0   \n",
       "udca.trial.8Q3644O2FDPV                           0.0   \n",
       "udca.trial.1OY031GAP9ZY3                          0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                          0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                          0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                          0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                          0.0   \n",
       "udca.trial.728LA4RZSTAHR                          0.0   \n",
       "udca.trial.19D6JKPRCOGMI                          0.0   \n",
       "udca.trial.6OIL635J79T9M                          0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                          0.0   \n",
       "udca.trial.25S4BJS0CONMM                          0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                          0.0   \n",
       "udca.trial.22W0HOU9Y3F29                          0.0   \n",
       "udca.trial.23S1O3WCJ76MD                          0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                          0.0   \n",
       "udca.trial.6EVHFIABTJT17                          0.0   \n",
       "udca.trial.5GGH03CF0250U                          0.0   \n",
       "udca.trial.507MKTBBPMS16                          0.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                          0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                          0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                           0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                           0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                          0.0   \n",
       "udca.trial.UB4NWI6VHC27                           0.0   \n",
       "udca.trial.67WH86LC753H4                          0.0   \n",
       "...                                               ...   \n",
       "udca.trial.1J9BWAVESZ0W0                          0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                          0.0   \n",
       "udca.trial.46CKFM6MTT2XN                          0.0   \n",
       "udca.trial.7L92PN9VRFG8E                          0.0   \n",
       "udca.trial.8J471W2UG1YW                           0.0   \n",
       "udca.trial.7NZXBHG13L9VY                          0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                          0.0   \n",
       "udca.trial.4R42WF9QJC5NG                          0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                          0.0   \n",
       "udca.trial.5DQNPSP736XIC                          0.0   \n",
       "udca.trial.5MXQV61D6D1YP                          0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                          0.0   \n",
       "udca.trial.67HWOV7G52RWJ                          0.0   \n",
       "udca.trial.49TY2PEZLDM6V                          0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                          0.0   \n",
       "udca.trial.2ISDSQMWUUECI                          0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                          0.0   \n",
       "udca.trial.60FQOLWB4MLAT                          0.0   \n",
       "udca.trial.57VOZHTSP5XEE                          0.0   \n",
       "udca.trial.G2IPDHZNMYO                            0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                          0.0   \n",
       "udca.trial.O96YJE79H07A                           0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                          0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                          0.0   \n",
       "udca.trial.1967KIH64P4VJ                          0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                          0.0   \n",
       "udca.trial.54JKKFD100T1Z                          0.0   \n",
       "udca.trial.5ARJW7J90HIX4                          0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                          0.0   \n",
       "udca.trial.74MYRQPORAQFW                          0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Synergistetes  k__Bacteria;p__TM7  \\\n",
       "udca.trial.3D3GJ5AN17Z83                           0.0                 0.0   \n",
       "udca.trial.3BZF24H1SU9RY                           0.0                 0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                           0.0                 0.0   \n",
       "udca.trial.562LB46Q3NS54                           0.0                 0.0   \n",
       "udca.trial.4BT8BR002U43P                           0.0                 0.0   \n",
       "udca.trial.8Q3644O2FDPV                            0.0                 0.0   \n",
       "udca.trial.1OY031GAP9ZY3                           0.0                 0.0   \n",
       "udca.trial.4K4AAPA3KWGZY                           0.0                 0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                           0.0                 0.0   \n",
       "udca.trial.1UA75JSQ7WLAR                           0.0                 0.0   \n",
       "udca.trial.67TQ5LLEMAKHW                          11.0                 0.0   \n",
       "udca.trial.728LA4RZSTAHR                           0.0                 0.0   \n",
       "udca.trial.19D6JKPRCOGMI                           5.0                 0.0   \n",
       "udca.trial.6OIL635J79T9M                           0.0                 0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                           0.0                 0.0   \n",
       "udca.trial.25S4BJS0CONMM                           0.0                 0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                           2.0                 0.0   \n",
       "udca.trial.22W0HOU9Y3F29                          18.0                 0.0   \n",
       "udca.trial.23S1O3WCJ76MD                           0.0                 0.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                           0.0                 0.0   \n",
       "udca.trial.6EVHFIABTJT17                           0.0                 0.0   \n",
       "udca.trial.5GGH03CF0250U                           0.0                 0.0   \n",
       "udca.trial.507MKTBBPMS16                           0.0                 2.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                          95.0                 0.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                         161.0                 0.0   \n",
       "udca.trial.8Y3GPW6PPBLW                            0.0                 0.0   \n",
       "udca.trial.JBZ5P1VM3OHM                            0.0                 0.0   \n",
       "udca.trial.6K7OI0MRC6EDV                           0.0                 0.0   \n",
       "udca.trial.UB4NWI6VHC27                            0.0                 0.0   \n",
       "udca.trial.67WH86LC753H4                           1.0                 0.0   \n",
       "...                                                ...                 ...   \n",
       "udca.trial.1J9BWAVESZ0W0                           0.0                 0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                           0.0                 0.0   \n",
       "udca.trial.46CKFM6MTT2XN                           0.0                 0.0   \n",
       "udca.trial.7L92PN9VRFG8E                           0.0                 0.0   \n",
       "udca.trial.8J471W2UG1YW                            0.0                 0.0   \n",
       "udca.trial.7NZXBHG13L9VY                           0.0                 0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                           0.0                 0.0   \n",
       "udca.trial.4R42WF9QJC5NG                           0.0                 0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                           0.0                 0.0   \n",
       "udca.trial.5DQNPSP736XIC                           0.0                 0.0   \n",
       "udca.trial.5MXQV61D6D1YP                           0.0                 0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                           0.0                 0.0   \n",
       "udca.trial.67HWOV7G52RWJ                           0.0                 0.0   \n",
       "udca.trial.49TY2PEZLDM6V                           0.0                 0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                           0.0                 0.0   \n",
       "udca.trial.2ISDSQMWUUECI                           0.0                 0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                           0.0                 0.0   \n",
       "udca.trial.60FQOLWB4MLAT                           0.0                 0.0   \n",
       "udca.trial.57VOZHTSP5XEE                           0.0                 0.0   \n",
       "udca.trial.G2IPDHZNMYO                             0.0                 0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                           0.0                 0.0   \n",
       "udca.trial.O96YJE79H07A                            0.0                 0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                           0.0                 0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                           0.0                 0.0   \n",
       "udca.trial.1967KIH64P4VJ                           0.0                 0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                           0.0                 0.0   \n",
       "udca.trial.54JKKFD100T1Z                           0.0                 0.0   \n",
       "udca.trial.5ARJW7J90HIX4                           0.0                 0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                           0.0                 0.0   \n",
       "udca.trial.74MYRQPORAQFW                           0.0                 0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Tenericutes  \\\n",
       "udca.trial.3D3GJ5AN17Z83                         0.0   \n",
       "udca.trial.3BZF24H1SU9RY                         0.0   \n",
       "udca.trial.5YXEDF0OR8WWS                         0.0   \n",
       "udca.trial.562LB46Q3NS54                         0.0   \n",
       "udca.trial.4BT8BR002U43P                         1.0   \n",
       "udca.trial.8Q3644O2FDPV                          0.0   \n",
       "udca.trial.1OY031GAP9ZY3                         1.0   \n",
       "udca.trial.4K4AAPA3KWGZY                         0.0   \n",
       "udca.trial.6OAKVHE0JZVDL                         1.0   \n",
       "udca.trial.1UA75JSQ7WLAR                         1.0   \n",
       "udca.trial.67TQ5LLEMAKHW                      1402.0   \n",
       "udca.trial.728LA4RZSTAHR                        81.0   \n",
       "udca.trial.19D6JKPRCOGMI                         1.0   \n",
       "udca.trial.6OIL635J79T9M                         0.0   \n",
       "udca.trial.1JJ1XY3XLSVM7                         1.0   \n",
       "udca.trial.25S4BJS0CONMM                         0.0   \n",
       "udca.trial.7OPNYC7L6Z0E7                       109.0   \n",
       "udca.trial.22W0HOU9Y3F29                         2.0   \n",
       "udca.trial.23S1O3WCJ76MD                         1.0   \n",
       "udca.trial.1D82MFPHX7ZQ7                         2.0   \n",
       "udca.trial.6EVHFIABTJT17                         0.0   \n",
       "udca.trial.5GGH03CF0250U                         0.0   \n",
       "udca.trial.507MKTBBPMS16                         3.0   \n",
       "udca.trial.2OH1ZH7SR5DEL                        54.0   \n",
       "udca.trial.3XF7BW2ZJGT7H                       107.0   \n",
       "udca.trial.8Y3GPW6PPBLW                       1743.0   \n",
       "udca.trial.JBZ5P1VM3OHM                       1503.0   \n",
       "udca.trial.6K7OI0MRC6EDV                         1.0   \n",
       "udca.trial.UB4NWI6VHC27                        453.0   \n",
       "udca.trial.67WH86LC753H4                         0.0   \n",
       "...                                              ...   \n",
       "udca.trial.1J9BWAVESZ0W0                         0.0   \n",
       "udca.trial.6JKG0LMUQDJT7                         0.0   \n",
       "udca.trial.46CKFM6MTT2XN                         0.0   \n",
       "udca.trial.7L92PN9VRFG8E                         0.0   \n",
       "udca.trial.8J471W2UG1YW                          0.0   \n",
       "udca.trial.7NZXBHG13L9VY                         0.0   \n",
       "udca.trial.5QCMCTI2GCPAC                         0.0   \n",
       "udca.trial.4R42WF9QJC5NG                         0.0   \n",
       "udca.trial.2MKIT0MPUJEGZ                         0.0   \n",
       "udca.trial.5DQNPSP736XIC                         0.0   \n",
       "udca.trial.5MXQV61D6D1YP                         0.0   \n",
       "udca.trial.7F0UGPVDNP3BM                         0.0   \n",
       "udca.trial.67HWOV7G52RWJ                         0.0   \n",
       "udca.trial.49TY2PEZLDM6V                         0.0   \n",
       "udca.trial.52JV4H6BDZ6DH                         0.0   \n",
       "udca.trial.2ISDSQMWUUECI                         0.0   \n",
       "udca.trial.1FX7H8EN3TWJL                         0.0   \n",
       "udca.trial.60FQOLWB4MLAT                         0.0   \n",
       "udca.trial.57VOZHTSP5XEE                         0.0   \n",
       "udca.trial.G2IPDHZNMYO                           0.0   \n",
       "udca.trial.3ZDK8AHN7EDDK                         0.0   \n",
       "udca.trial.O96YJE79H07A                          0.0   \n",
       "udca.trial.4YOLU4HMLZSY1                         0.0   \n",
       "udca.trial.6M8SH01CKYHJ6                         0.0   \n",
       "udca.trial.1967KIH64P4VJ                         0.0   \n",
       "udca.trial.3A8E0TVU1XCSS                         0.0   \n",
       "udca.trial.54JKKFD100T1Z                         0.0   \n",
       "udca.trial.5ARJW7J90HIX4                         0.0   \n",
       "udca.trial.5TOQRVYU5HTMR                         0.0   \n",
       "udca.trial.74MYRQPORAQFW                         0.0   \n",
       "\n",
       "#OTU ID                   k__Bacteria;p__Verrucomicrobia  \n",
       "udca.trial.3D3GJ5AN17Z83                             5.0  \n",
       "udca.trial.3BZF24H1SU9RY                          2864.0  \n",
       "udca.trial.5YXEDF0OR8WWS                          1515.0  \n",
       "udca.trial.562LB46Q3NS54                             7.0  \n",
       "udca.trial.4BT8BR002U43P                            10.0  \n",
       "udca.trial.8Q3644O2FDPV                              7.0  \n",
       "udca.trial.1OY031GAP9ZY3                          8303.0  \n",
       "udca.trial.4K4AAPA3KWGZY                          7422.0  \n",
       "udca.trial.6OAKVHE0JZVDL                             5.0  \n",
       "udca.trial.1UA75JSQ7WLAR                             5.0  \n",
       "udca.trial.67TQ5LLEMAKHW                          7900.0  \n",
       "udca.trial.728LA4RZSTAHR                          1341.0  \n",
       "udca.trial.19D6JKPRCOGMI                          9440.0  \n",
       "udca.trial.6OIL635J79T9M                          1036.0  \n",
       "udca.trial.1JJ1XY3XLSVM7                             3.0  \n",
       "udca.trial.25S4BJS0CONMM                          1760.0  \n",
       "udca.trial.7OPNYC7L6Z0E7                          2563.0  \n",
       "udca.trial.22W0HOU9Y3F29                             3.0  \n",
       "udca.trial.23S1O3WCJ76MD                             7.0  \n",
       "udca.trial.1D82MFPHX7ZQ7                           144.0  \n",
       "udca.trial.6EVHFIABTJT17                            10.0  \n",
       "udca.trial.5GGH03CF0250U                           576.0  \n",
       "udca.trial.507MKTBBPMS16                             6.0  \n",
       "udca.trial.2OH1ZH7SR5DEL                          2917.0  \n",
       "udca.trial.3XF7BW2ZJGT7H                          3791.0  \n",
       "udca.trial.8Y3GPW6PPBLW                              8.0  \n",
       "udca.trial.JBZ5P1VM3OHM                           4907.0  \n",
       "udca.trial.6K7OI0MRC6EDV                           304.0  \n",
       "udca.trial.UB4NWI6VHC27                             72.0  \n",
       "udca.trial.67WH86LC753H4                             6.0  \n",
       "...                                                  ...  \n",
       "udca.trial.1J9BWAVESZ0W0                             0.0  \n",
       "udca.trial.6JKG0LMUQDJT7                             0.0  \n",
       "udca.trial.46CKFM6MTT2XN                             0.0  \n",
       "udca.trial.7L92PN9VRFG8E                             0.0  \n",
       "udca.trial.8J471W2UG1YW                              0.0  \n",
       "udca.trial.7NZXBHG13L9VY                             0.0  \n",
       "udca.trial.5QCMCTI2GCPAC                             0.0  \n",
       "udca.trial.4R42WF9QJC5NG                             0.0  \n",
       "udca.trial.2MKIT0MPUJEGZ                             0.0  \n",
       "udca.trial.5DQNPSP736XIC                             0.0  \n",
       "udca.trial.5MXQV61D6D1YP                             0.0  \n",
       "udca.trial.7F0UGPVDNP3BM                             0.0  \n",
       "udca.trial.67HWOV7G52RWJ                             0.0  \n",
       "udca.trial.49TY2PEZLDM6V                             0.0  \n",
       "udca.trial.52JV4H6BDZ6DH                             0.0  \n",
       "udca.trial.2ISDSQMWUUECI                             0.0  \n",
       "udca.trial.1FX7H8EN3TWJL                             0.0  \n",
       "udca.trial.60FQOLWB4MLAT                             0.0  \n",
       "udca.trial.57VOZHTSP5XEE                             0.0  \n",
       "udca.trial.G2IPDHZNMYO                               0.0  \n",
       "udca.trial.3ZDK8AHN7EDDK                             0.0  \n",
       "udca.trial.O96YJE79H07A                              0.0  \n",
       "udca.trial.4YOLU4HMLZSY1                             0.0  \n",
       "udca.trial.6M8SH01CKYHJ6                             0.0  \n",
       "udca.trial.1967KIH64P4VJ                             0.0  \n",
       "udca.trial.3A8E0TVU1XCSS                             0.0  \n",
       "udca.trial.54JKKFD100T1Z                             0.0  \n",
       "udca.trial.5ARJW7J90HIX4                             0.0  \n",
       "udca.trial.5TOQRVYU5HTMR                             0.0  \n",
       "udca.trial.74MYRQPORAQFW                             0.0  \n",
       "\n",
       "[986 rows x 28 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phyla_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "124\n",
      "118\n"
     ]
    }
   ],
   "source": [
    "print(np.array([sample_md.groupby(\"ptid\").first()['treatmentgroup'][e] == 'placebo' for e in fecal_water_bile_acids.columns if e in pt_md.index]).sum())\n",
    "print(np.array([sample_md.groupby(\"ptid\").first()['treatmentgroup'][e] == 'UDCA' for e in fecal_water_bile_acids.columns if e in pt_md.index]).sum())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bile acid/microbiome correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Full bile acid profiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/miniconda3/envs/crc-udca1/lib/python3.5/site-packages/ipykernel/__main__.py:3: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r</th>\n",
       "      <th>p</th>\n",
       "      <th>q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.503134</td>\n",
       "      <td>8.346824e-17</td>\n",
       "      <td>5.008095e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, Derep-PD)</th>\n",
       "      <td>-0.418359</td>\n",
       "      <td>1.522761e-11</td>\n",
       "      <td>4.568283e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, Derep-PD)</th>\n",
       "      <td>-0.401065</td>\n",
       "      <td>1.193052e-10</td>\n",
       "      <td>2.386105e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.384479</td>\n",
       "      <td>7.102858e-10</td>\n",
       "      <td>8.523430e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.385451</td>\n",
       "      <td>6.382284e-10</td>\n",
       "      <td>8.523430e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-PD)</th>\n",
       "      <td>-0.382887</td>\n",
       "      <td>9.171713e-10</td>\n",
       "      <td>9.171713e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.350262</td>\n",
       "      <td>2.467735e-08</td>\n",
       "      <td>2.115201e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.345559</td>\n",
       "      <td>3.892676e-08</td>\n",
       "      <td>2.919507e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.339484</td>\n",
       "      <td>6.936288e-08</td>\n",
       "      <td>4.624192e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.323904</td>\n",
       "      <td>2.886806e-07</td>\n",
       "      <td>1.732084e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-PD)</th>\n",
       "      <td>-0.323459</td>\n",
       "      <td>3.180243e-07</td>\n",
       "      <td>1.734678e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-PD)</th>\n",
       "      <td>-0.301471</td>\n",
       "      <td>2.063532e-06</td>\n",
       "      <td>1.031766e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, Derep-PD)</th>\n",
       "      <td>-0.299661</td>\n",
       "      <td>2.391080e-06</td>\n",
       "      <td>1.103575e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.297949</td>\n",
       "      <td>2.616180e-06</td>\n",
       "      <td>1.121220e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.291426</td>\n",
       "      <td>4.406396e-06</td>\n",
       "      <td>1.762558e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, Derep-PD)</th>\n",
       "      <td>-0.273250</td>\n",
       "      <td>1.835543e-05</td>\n",
       "      <td>6.883287e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, Derep-PD)</th>\n",
       "      <td>-0.269152</td>\n",
       "      <td>2.472932e-05</td>\n",
       "      <td>8.727996e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, Derep-PD)</th>\n",
       "      <td>-0.267665</td>\n",
       "      <td>2.751987e-05</td>\n",
       "      <td>9.173291e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.245831</td>\n",
       "      <td>1.192187e-04</td>\n",
       "      <td>3.764802e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.235977</td>\n",
       "      <td>2.252355e-04</td>\n",
       "      <td>6.757064e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-PD)</th>\n",
       "      <td>-0.215695</td>\n",
       "      <td>7.888522e-04</td>\n",
       "      <td>2.253863e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.182547</td>\n",
       "      <td>4.385235e-03</td>\n",
       "      <td>1.195973e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.156285</td>\n",
       "      <td>1.494946e-02</td>\n",
       "      <td>3.899858e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.149632</td>\n",
       "      <td>1.986969e-02</td>\n",
       "      <td>4.967424e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.148936</td>\n",
       "      <td>2.099069e-02</td>\n",
       "      <td>5.037765e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.143259</td>\n",
       "      <td>2.647082e-02</td>\n",
       "      <td>6.108651e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, Derep-PD)</th>\n",
       "      <td>-0.131751</td>\n",
       "      <td>4.184808e-02</td>\n",
       "      <td>9.299573e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.119637</td>\n",
       "      <td>6.314694e-02</td>\n",
       "      <td>1.328477e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.119162</td>\n",
       "      <td>6.420973e-02</td>\n",
       "      <td>1.328477e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.114768</td>\n",
       "      <td>7.597031e-02</td>\n",
       "      <td>1.519406e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.109995</td>\n",
       "      <td>8.773988e-02</td>\n",
       "      <td>1.698191e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.106067</td>\n",
       "      <td>9.973875e-02</td>\n",
       "      <td>1.870102e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.103106</td>\n",
       "      <td>1.111118e-01</td>\n",
       "      <td>1.960796e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.102743</td>\n",
       "      <td>1.108812e-01</td>\n",
       "      <td>1.960796e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.096644</td>\n",
       "      <td>1.354661e-01</td>\n",
       "      <td>2.322275e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.094376</td>\n",
       "      <td>1.449253e-01</td>\n",
       "      <td>2.415421e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.080338</td>\n",
       "      <td>2.149378e-01</td>\n",
       "      <td>3.485478e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.076232</td>\n",
       "      <td>2.393864e-01</td>\n",
       "      <td>3.779786e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, Derep-PD)</th>\n",
       "      <td>-0.071463</td>\n",
       "      <td>2.711578e-01</td>\n",
       "      <td>4.171658e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.069476</td>\n",
       "      <td>2.817048e-01</td>\n",
       "      <td>4.225572e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, Derep-PD)</th>\n",
       "      <td>-0.067630</td>\n",
       "      <td>2.977628e-01</td>\n",
       "      <td>4.357504e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.063717</td>\n",
       "      <td>3.236050e-01</td>\n",
       "      <td>4.622928e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.061120</td>\n",
       "      <td>3.437603e-01</td>\n",
       "      <td>4.796655e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>-0.059026</td>\n",
       "      <td>3.625835e-01</td>\n",
       "      <td>4.944320e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.055840</td>\n",
       "      <td>3.891161e-01</td>\n",
       "      <td>5.075427e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.056266</td>\n",
       "      <td>3.855040e-01</td>\n",
       "      <td>5.075427e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.054684</td>\n",
       "      <td>3.990203e-01</td>\n",
       "      <td>5.093876e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.052782</td>\n",
       "      <td>4.136884e-01</td>\n",
       "      <td>5.171105e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.049418</td>\n",
       "      <td>4.460270e-01</td>\n",
       "      <td>5.190357e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.049203</td>\n",
       "      <td>4.480142e-01</td>\n",
       "      <td>5.190357e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.049489</td>\n",
       "      <td>4.453785e-01</td>\n",
       "      <td>5.190357e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.048802</td>\n",
       "      <td>4.498310e-01</td>\n",
       "      <td>5.190357e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.044020</td>\n",
       "      <td>4.973087e-01</td>\n",
       "      <td>5.629910e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.041713</td>\n",
       "      <td>5.201497e-01</td>\n",
       "      <td>5.779442e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, Derep-PD)</th>\n",
       "      <td>-0.031273</td>\n",
       "      <td>6.304815e-01</td>\n",
       "      <td>6.877980e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.017032</td>\n",
       "      <td>7.929344e-01</td>\n",
       "      <td>8.495726e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-PD)</th>\n",
       "      <td>0.011864</td>\n",
       "      <td>8.552283e-01</td>\n",
       "      <td>9.002403e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.010227</td>\n",
       "      <td>8.742378e-01</td>\n",
       "      <td>9.043839e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>-0.007982</td>\n",
       "      <td>9.021021e-01</td>\n",
       "      <td>9.173920e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.006092</td>\n",
       "      <td>9.248914e-01</td>\n",
       "      <td>9.248914e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              r             p             q\n",
       "(UDCA, Derep-UnweightedUniFrac-PC1)    0.503134  8.346824e-17  5.008095e-15\n",
       "(TDCA, Derep-PD)                      -0.418359  1.522761e-11  4.568283e-10\n",
       "(TCA, Derep-PD)                       -0.401065  1.193052e-10  2.386105e-09\n",
       "(TDCA, Derep-UnweightedUniFrac-PC1)    0.384479  7.102858e-10  8.523430e-09\n",
       "(DCA, Derep-UnweightedUniFrac-PC1)     0.385451  6.382284e-10  8.523430e-09\n",
       "(UDCA, Derep-PD)                      -0.382887  9.171713e-10  9.171713e-09\n",
       "(TCA, Derep-UnweightedUniFrac-PC1)     0.350262  2.467735e-08  2.115201e-07\n",
       "(CDCA, Derep-UnweightedUniFrac-PC1)    0.345559  3.892676e-08  2.919507e-07\n",
       "(TUDCA, Derep-UnweightedUniFrac-PC1)   0.339484  6.936288e-08  4.624192e-07\n",
       "(GUDCA, Derep-UnweightedUniFrac-PC1)   0.323904  2.886806e-07  1.732084e-06\n",
       "(CDCA, Derep-PD)                      -0.323459  3.180243e-07  1.734678e-06\n",
       "(CA, Derep-PD)                        -0.301471  2.063532e-06  1.031766e-05\n",
       "(TUDCA, Derep-PD)                     -0.299661  2.391080e-06  1.103575e-05\n",
       "(GCA, Derep-UnweightedUniFrac-PC1)     0.297949  2.616180e-06  1.121220e-05\n",
       "(CA, Derep-UnweightedUniFrac-PC1)      0.291426  4.406396e-06  1.762558e-05\n",
       "(TCDCA, Derep-PD)                     -0.273250  1.835543e-05  6.883287e-05\n",
       "(GUDCA, Derep-PD)                     -0.269152  2.472932e-05  8.727996e-05\n",
       "(GCA, Derep-PD)                       -0.267665  2.751987e-05  9.173291e-05\n",
       "(TCDCA, Derep-UnweightedUniFrac-PC1)   0.245831  1.192187e-04  3.764802e-04\n",
       "(GDCA, Derep-UnweightedUniFrac-PC1)    0.235977  2.252355e-04  6.757064e-04\n",
       "(DCA, Derep-PD)                       -0.215695  7.888522e-04  2.253863e-03\n",
       "(UDCA, k__Bacteria;p__Bacteroidetes)  -0.182547  4.385235e-03  1.195973e-02\n",
       "(GDCA, k__Bacteria;p__Bacteroidetes)  -0.156285  1.494946e-02  3.899858e-02\n",
       "(TUDCA, k__Bacteria;p__Bacteroidetes) -0.149632  1.986969e-02  4.967424e-02\n",
       "(LCA, Derep-UnweightedUniFrac-PC1)     0.148936  2.099069e-02  5.037765e-02\n",
       "(GUDCA, Derep-WeightedUniFrac-PC1)     0.143259  2.647082e-02  6.108651e-02\n",
       "(GDCA, Derep-PD)                      -0.131751  4.184808e-02  9.299573e-02\n",
       "(TCA, k__Bacteria;p__Bacteroidetes)   -0.119637  6.314694e-02  1.328477e-01\n",
       "(TDCA, k__Bacteria;p__Bacteroidetes)  -0.119162  6.420973e-02  1.328477e-01\n",
       "(UDCA, Derep-WeightedUniFrac-PC1)      0.114768  7.597031e-02  1.519406e-01\n",
       "(CDCA, k__Bacteria;p__Bacteroidetes)  -0.109995  8.773988e-02  1.698191e-01\n",
       "(DCA, k__Bacteria;p__Bacteroidetes)   -0.106067  9.973875e-02  1.870102e-01\n",
       "(GCDCA, Derep-UnweightedUniFrac-PC1)   0.103106  1.111118e-01  1.960796e-01\n",
       "(GCA, k__Bacteria;p__Bacteroidetes)   -0.102743  1.108812e-01  1.960796e-01\n",
       "(GCA, Derep-WeightedUniFrac-PC1)       0.096644  1.354661e-01  2.322275e-01\n",
       "(CDCA, Derep-WeightedUniFrac-PC1)      0.094376  1.449253e-01  2.415421e-01\n",
       "(DCA, Derep-WeightedUniFrac-PC1)       0.080338  2.149378e-01  3.485478e-01\n",
       "(TLCA, Derep-UnweightedUniFrac-PC1)    0.076232  2.393864e-01  3.779786e-01\n",
       "(TLCA, Derep-PD)                      -0.071463  2.711578e-01  4.171658e-01\n",
       "(LCA, k__Bacteria;p__Bacteroidetes)   -0.069476  2.817048e-01  4.225572e-01\n",
       "(GCDCA, Derep-PD)                     -0.067630  2.977628e-01  4.357504e-01\n",
       "(TCDCA, k__Bacteria;p__Bacteroidetes) -0.063717  3.236050e-01  4.622928e-01\n",
       "(GUDCA, k__Bacteria;p__Bacteroidetes) -0.061120  3.437603e-01  4.796655e-01\n",
       "(TLCA, Derep-WeightedUniFrac-PC1)     -0.059026  3.625835e-01  4.944320e-01\n",
       "(GCDCA, Derep-WeightedUniFrac-PC1)     0.055840  3.891161e-01  5.075427e-01\n",
       "(TUDCA, Derep-WeightedUniFrac-PC1)     0.056266  3.855040e-01  5.075427e-01\n",
       "(CA, Derep-WeightedUniFrac-PC1)        0.054684  3.990203e-01  5.093876e-01\n",
       "(CA, k__Bacteria;p__Bacteroidetes)    -0.052782  4.136884e-01  5.171105e-01\n",
       "(LCA, Derep-WeightedUniFrac-PC1)       0.049418  4.460270e-01  5.190357e-01\n",
       "(GDCA, Derep-WeightedUniFrac-PC1)      0.049203  4.480142e-01  5.190357e-01\n",
       "(GLCA, Derep-WeightedUniFrac-PC1)      0.049489  4.453785e-01  5.190357e-01\n",
       "(TLCA, k__Bacteria;p__Bacteroidetes)  -0.048802  4.498310e-01  5.190357e-01\n",
       "(TCDCA, Derep-WeightedUniFrac-PC1)     0.044020  4.973087e-01  5.629910e-01\n",
       "(TDCA, Derep-WeightedUniFrac-PC1)      0.041713  5.201497e-01  5.779442e-01\n",
       "(GLCA, Derep-PD)                      -0.031273  6.304815e-01  6.877980e-01\n",
       "(TCA, Derep-WeightedUniFrac-PC1)       0.017032  7.929344e-01  8.495726e-01\n",
       "(LCA, Derep-PD)                        0.011864  8.552283e-01  9.002403e-01\n",
       "(GCDCA, k__Bacteria;p__Bacteroidetes) -0.010227  8.742378e-01  9.043839e-01\n",
       "(GLCA, Derep-UnweightedUniFrac-PC1)   -0.007982  9.021021e-01  9.173920e-01\n",
       "(GLCA, k__Bacteria;p__Bacteroidetes)  -0.006092  9.248914e-01  9.248914e-01"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from crc import pairwise_corr_all\n",
    "\n",
    "df = pairwise_corr_all(fecal_water_bile_acids.T, pt_md[['Derep-PD', 'Derep-UnweightedUniFrac-PC1', 'Derep-WeightedUniFrac-PC1', \"k__Bacteria;p__Bacteroidetes\"]]).sort('q', ascending=True)\n",
    "df.to_csv('fecal-water-microbiome-full.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/miniconda3/envs/crc-udca1/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n",
      "  if __name__ == '__main__':\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r</th>\n",
       "      <th>p</th>\n",
       "      <th>q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.413597</td>\n",
       "      <td>3.710140e-14</td>\n",
       "      <td>1.113042e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.415181</td>\n",
       "      <td>2.900485e-14</td>\n",
       "      <td>1.113042e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, Derep-PD)</th>\n",
       "      <td>-0.298137</td>\n",
       "      <td>1.014917e-07</td>\n",
       "      <td>2.029835e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-PD)</th>\n",
       "      <td>-0.288112</td>\n",
       "      <td>2.793613e-07</td>\n",
       "      <td>3.352336e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.289761</td>\n",
       "      <td>2.265950e-07</td>\n",
       "      <td>3.352336e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.207378</td>\n",
       "      <td>2.477457e-04</td>\n",
       "      <td>2.477457e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, Derep-PD)</th>\n",
       "      <td>-0.204354</td>\n",
       "      <td>3.132785e-04</td>\n",
       "      <td>2.685244e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.176734</td>\n",
       "      <td>1.848131e-03</td>\n",
       "      <td>1.386098e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.168747</td>\n",
       "      <td>2.970339e-03</td>\n",
       "      <td>1.620185e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-PD)</th>\n",
       "      <td>0.170546</td>\n",
       "      <td>2.717412e-03</td>\n",
       "      <td>1.620185e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.169996</td>\n",
       "      <td>2.761555e-03</td>\n",
       "      <td>1.620185e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, Derep-PD)</th>\n",
       "      <td>0.163481</td>\n",
       "      <td>4.077843e-03</td>\n",
       "      <td>2.038921e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.157067</td>\n",
       "      <td>5.579873e-03</td>\n",
       "      <td>2.575326e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.151756</td>\n",
       "      <td>7.631754e-03</td>\n",
       "      <td>3.270752e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>-0.148071</td>\n",
       "      <td>9.256540e-03</td>\n",
       "      <td>3.702616e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.136599</td>\n",
       "      <td>1.609951e-02</td>\n",
       "      <td>6.037314e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.129554</td>\n",
       "      <td>2.296491e-02</td>\n",
       "      <td>8.105261e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.127477</td>\n",
       "      <td>2.479607e-02</td>\n",
       "      <td>8.265358e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.123595</td>\n",
       "      <td>3.011422e-02</td>\n",
       "      <td>9.509753e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-PD)</th>\n",
       "      <td>-0.120450</td>\n",
       "      <td>3.489926e-02</td>\n",
       "      <td>1.046978e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.106343</td>\n",
       "      <td>6.232017e-02</td>\n",
       "      <td>1.734391e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.103617</td>\n",
       "      <td>6.937566e-02</td>\n",
       "      <td>1.734391e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GUDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.105298</td>\n",
       "      <td>6.408040e-02</td>\n",
       "      <td>1.734391e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>-0.103780</td>\n",
       "      <td>6.893500e-02</td>\n",
       "      <td>1.734391e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.090720</td>\n",
       "      <td>1.109089e-01</td>\n",
       "      <td>2.376619e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCDCA, Derep-PD)</th>\n",
       "      <td>-0.091442</td>\n",
       "      <td>1.098203e-01</td>\n",
       "      <td>2.376619e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-PD)</th>\n",
       "      <td>0.092454</td>\n",
       "      <td>1.059247e-01</td>\n",
       "      <td>2.376619e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.092701</td>\n",
       "      <td>1.044239e-01</td>\n",
       "      <td>2.376619e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TUDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.086687</td>\n",
       "      <td>1.277624e-01</td>\n",
       "      <td>2.643359e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>-0.084377</td>\n",
       "      <td>1.395639e-01</td>\n",
       "      <td>2.791278e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, Derep-PD)</th>\n",
       "      <td>-0.080066</td>\n",
       "      <td>1.616969e-01</td>\n",
       "      <td>3.129617e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.077977</td>\n",
       "      <td>1.722529e-01</td>\n",
       "      <td>3.229743e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.066760</td>\n",
       "      <td>2.412003e-01</td>\n",
       "      <td>4.385459e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.064454</td>\n",
       "      <td>2.578749e-01</td>\n",
       "      <td>4.550734e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.052240</td>\n",
       "      <td>3.593025e-01</td>\n",
       "      <td>5.988374e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, Derep-PD)</th>\n",
       "      <td>-0.053464</td>\n",
       "      <td>3.505068e-01</td>\n",
       "      <td>5.988374e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.046560</td>\n",
       "      <td>4.155035e-01</td>\n",
       "      <td>6.037485e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>-0.045854</td>\n",
       "      <td>4.226239e-01</td>\n",
       "      <td>6.037485e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.046097</td>\n",
       "      <td>4.201657e-01</td>\n",
       "      <td>6.037485e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.049735</td>\n",
       "      <td>3.828408e-01</td>\n",
       "      <td>6.037485e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GLCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.046265</td>\n",
       "      <td>4.184694e-01</td>\n",
       "      <td>6.037485e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.050051</td>\n",
       "      <td>3.798236e-01</td>\n",
       "      <td>6.037485e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.043454</td>\n",
       "      <td>4.458439e-01</td>\n",
       "      <td>6.221078e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.040431</td>\n",
       "      <td>4.795916e-01</td>\n",
       "      <td>6.429395e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, Derep-PD)</th>\n",
       "      <td>0.040257</td>\n",
       "      <td>4.822046e-01</td>\n",
       "      <td>6.429395e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.037991</td>\n",
       "      <td>5.065226e-01</td>\n",
       "      <td>6.606817e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, Derep-PD)</th>\n",
       "      <td>0.033421</td>\n",
       "      <td>5.596547e-01</td>\n",
       "      <td>7.144528e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.027751</td>\n",
       "      <td>6.275747e-01</td>\n",
       "      <td>7.844684e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.026621</td>\n",
       "      <td>6.416620e-01</td>\n",
       "      <td>7.857086e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.019440</td>\n",
       "      <td>7.339924e-01</td>\n",
       "      <td>8.007190e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.019754</td>\n",
       "      <td>7.290214e-01</td>\n",
       "      <td>8.007190e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-PD)</th>\n",
       "      <td>0.021755</td>\n",
       "      <td>7.041885e-01</td>\n",
       "      <td>8.007190e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>-0.021358</td>\n",
       "      <td>7.088898e-01</td>\n",
       "      <td>8.007190e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.021268</td>\n",
       "      <td>7.091583e-01</td>\n",
       "      <td>8.007190e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.022805</td>\n",
       "      <td>6.901566e-01</td>\n",
       "      <td>8.007190e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, Derep-PD)</th>\n",
       "      <td>-0.014683</td>\n",
       "      <td>7.977727e-01</td>\n",
       "      <td>8.547565e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>-0.012275</td>\n",
       "      <td>8.301092e-01</td>\n",
       "      <td>8.587336e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.012320</td>\n",
       "      <td>8.289487e-01</td>\n",
       "      <td>8.587336e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(TLCA, Derep-PD)</th>\n",
       "      <td>-0.011008</td>\n",
       "      <td>8.476726e-01</td>\n",
       "      <td>8.620399e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(GCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.003507</td>\n",
       "      <td>9.511165e-01</td>\n",
       "      <td>9.511165e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              r             p             q\n",
       "(UDCA, Derep-UnweightedUniFrac-PC1)    0.413597  3.710140e-14  1.113042e-12\n",
       "(GUDCA, Derep-UnweightedUniFrac-PC1)   0.415181  2.900485e-14  1.113042e-12\n",
       "(GUDCA, Derep-PD)                     -0.298137  1.014917e-07  2.029835e-06\n",
       "(UDCA, Derep-PD)                      -0.288112  2.793613e-07  3.352336e-06\n",
       "(TUDCA, Derep-UnweightedUniFrac-PC1)   0.289761  2.265950e-07  3.352336e-06\n",
       "(UDCA, Derep-WeightedUniFrac-PC1)      0.207378  2.477457e-04  2.477457e-03\n",
       "(TUDCA, Derep-PD)                     -0.204354  3.132785e-04  2.685244e-03\n",
       "(GUDCA, Derep-WeightedUniFrac-PC1)     0.176734  1.848131e-03  1.386098e-02\n",
       "(CDCA, Derep-WeightedUniFrac-PC1)      0.168747  2.970339e-03  1.620185e-02\n",
       "(LCA, Derep-PD)                        0.170546  2.717412e-03  1.620185e-02\n",
       "(DCA, Derep-WeightedUniFrac-PC1)       0.169996  2.761555e-03  1.620185e-02\n",
       "(GLCA, Derep-PD)                       0.163481  4.077843e-03  2.038921e-02\n",
       "(UDCA, k__Bacteria;p__Bacteroidetes)  -0.157067  5.579873e-03  2.575326e-02\n",
       "(CDCA, Derep-UnweightedUniFrac-PC1)    0.151756  7.631754e-03  3.270752e-02\n",
       "(LCA, Derep-UnweightedUniFrac-PC1)    -0.148071  9.256540e-03  3.702616e-02\n",
       "(DCA, k__Bacteria;p__Bacteroidetes)   -0.136599  1.609951e-02  6.037314e-02\n",
       "(GCDCA, Derep-UnweightedUniFrac-PC1)   0.129554  2.296491e-02  8.105261e-02\n",
       "(CDCA, k__Bacteria;p__Bacteroidetes)  -0.127477  2.479607e-02  8.265358e-02\n",
       "(GCDCA, Derep-WeightedUniFrac-PC1)     0.123595  3.011422e-02  9.509753e-02\n",
       "(CDCA, Derep-PD)                      -0.120450  3.489926e-02  1.046978e-01\n",
       "(TUDCA, Derep-WeightedUniFrac-PC1)     0.106343  6.232017e-02  1.734391e-01\n",
       "(DCA, Derep-UnweightedUniFrac-PC1)     0.103617  6.937566e-02  1.734391e-01\n",
       "(GUDCA, k__Bacteria;p__Bacteroidetes) -0.105298  6.408040e-02  1.734391e-01\n",
       "(GLCA, Derep-UnweightedUniFrac-PC1)   -0.103780  6.893500e-02  1.734391e-01\n",
       "(GCDCA, k__Bacteria;p__Bacteroidetes) -0.090720  1.109089e-01  2.376619e-01\n",
       "(GCDCA, Derep-PD)                     -0.091442  1.098203e-01  2.376619e-01\n",
       "(CA, Derep-PD)                         0.092454  1.059247e-01  2.376619e-01\n",
       "(CA, Derep-WeightedUniFrac-PC1)        0.092701  1.044239e-01  2.376619e-01\n",
       "(TUDCA, k__Bacteria;p__Bacteroidetes) -0.086687  1.277624e-01  2.643359e-01\n",
       "(CA, Derep-UnweightedUniFrac-PC1)     -0.084377  1.395639e-01  2.791278e-01\n",
       "(TCA, Derep-PD)                       -0.080066  1.616969e-01  3.129617e-01\n",
       "(LCA, Derep-WeightedUniFrac-PC1)       0.077977  1.722529e-01  3.229743e-01\n",
       "(GLCA, k__Bacteria;p__Bacteroidetes)  -0.066760  2.412003e-01  4.385459e-01\n",
       "(GDCA, k__Bacteria;p__Bacteroidetes)  -0.064454  2.578749e-01  4.550734e-01\n",
       "(LCA, k__Bacteria;p__Bacteroidetes)   -0.052240  3.593025e-01  5.988374e-01\n",
       "(TCDCA, Derep-PD)                     -0.053464  3.505068e-01  5.988374e-01\n",
       "(GDCA, Derep-WeightedUniFrac-PC1)      0.046560  4.155035e-01  6.037485e-01\n",
       "(TDCA, Derep-WeightedUniFrac-PC1)     -0.045854  4.226239e-01  6.037485e-01\n",
       "(TCA, Derep-UnweightedUniFrac-PC1)     0.046097  4.201657e-01  6.037485e-01\n",
       "(GCA, k__Bacteria;p__Bacteroidetes)   -0.049735  3.828408e-01  6.037485e-01\n",
       "(GLCA, Derep-WeightedUniFrac-PC1)      0.046265  4.184694e-01  6.037485e-01\n",
       "(TCDCA, k__Bacteria;p__Bacteroidetes) -0.050051  3.798236e-01  6.037485e-01\n",
       "(CA, k__Bacteria;p__Bacteroidetes)    -0.043454  4.458439e-01  6.221078e-01\n",
       "(GCA, Derep-WeightedUniFrac-PC1)       0.040431  4.795916e-01  6.429395e-01\n",
       "(GDCA, Derep-PD)                       0.040257  4.822046e-01  6.429395e-01\n",
       "(GDCA, Derep-UnweightedUniFrac-PC1)    0.037991  5.065226e-01  6.606817e-01\n",
       "(TDCA, Derep-PD)                       0.033421  5.596547e-01  7.144528e-01\n",
       "(TLCA, Derep-UnweightedUniFrac-PC1)    0.027751  6.275747e-01  7.844684e-01\n",
       "(TCDCA, Derep-UnweightedUniFrac-PC1)   0.026621  6.416620e-01  7.857086e-01\n",
       "(TLCA, Derep-WeightedUniFrac-PC1)      0.019440  7.339924e-01  8.007190e-01\n",
       "(TLCA, k__Bacteria;p__Bacteroidetes)  -0.019754  7.290214e-01  8.007190e-01\n",
       "(DCA, Derep-PD)                        0.021755  7.041885e-01  8.007190e-01\n",
       "(TCA, Derep-WeightedUniFrac-PC1)      -0.021358  7.088898e-01  8.007190e-01\n",
       "(TDCA, k__Bacteria;p__Bacteroidetes)  -0.021268  7.091583e-01  8.007190e-01\n",
       "(TCDCA, Derep-WeightedUniFrac-PC1)     0.022805  6.901566e-01  8.007190e-01\n",
       "(GCA, Derep-PD)                       -0.014683  7.977727e-01  8.547565e-01\n",
       "(TDCA, Derep-UnweightedUniFrac-PC1)   -0.012275  8.301092e-01  8.587336e-01\n",
       "(TCA, k__Bacteria;p__Bacteroidetes)   -0.012320  8.289487e-01  8.587336e-01\n",
       "(TLCA, Derep-PD)                      -0.011008  8.476726e-01  8.620399e-01\n",
       "(GCA, Derep-UnweightedUniFrac-PC1)     0.003507  9.511165e-01  9.511165e-01"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pairwise_corr_all(plasma_bile_acids.T, pt_md[['Derep-PD', 'Derep-UnweightedUniFrac-PC1', 'Derep-WeightedUniFrac-PC1', \"k__Bacteria;p__Bacteroidetes\"]]).sort('q', ascending=True)\n",
    "df.to_csv('plasma-microbiome-full.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bile acid profiles collapsed by parent group (so each included parent bile acid and glycine and taurine conjugates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/miniconda3/envs/crc-udca1/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n",
      "  if __name__ == '__main__':\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r</th>\n",
       "      <th>p</th>\n",
       "      <th>q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.501014</td>\n",
       "      <td>1.176004e-16</td>\n",
       "      <td>2.352007e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.386231</td>\n",
       "      <td>5.856208e-10</td>\n",
       "      <td>5.856208e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-PD)</th>\n",
       "      <td>-0.381972</td>\n",
       "      <td>1.013091e-09</td>\n",
       "      <td>6.753941e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.344787</td>\n",
       "      <td>4.192013e-08</td>\n",
       "      <td>2.096007e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-PD)</th>\n",
       "      <td>-0.326781</td>\n",
       "      <td>2.366091e-07</td>\n",
       "      <td>9.464364e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-PD)</th>\n",
       "      <td>-0.308142</td>\n",
       "      <td>1.188813e-06</td>\n",
       "      <td>3.962709e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.296417</td>\n",
       "      <td>2.960247e-06</td>\n",
       "      <td>8.457849e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-PD)</th>\n",
       "      <td>-0.216677</td>\n",
       "      <td>7.453526e-04</td>\n",
       "      <td>1.863381e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.183275</td>\n",
       "      <td>4.228484e-03</td>\n",
       "      <td>9.396632e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.148784</td>\n",
       "      <td>2.112381e-02</td>\n",
       "      <td>4.224762e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.117213</td>\n",
       "      <td>6.989026e-02</td>\n",
       "      <td>1.270732e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.108633</td>\n",
       "      <td>9.176084e-02</td>\n",
       "      <td>1.508338e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.106599</td>\n",
       "      <td>9.804197e-02</td>\n",
       "      <td>1.508338e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.091532</td>\n",
       "      <td>1.574887e-01</td>\n",
       "      <td>2.249839e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.080415</td>\n",
       "      <td>2.144957e-01</td>\n",
       "      <td>2.859942e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.069227</td>\n",
       "      <td>2.834337e-01</td>\n",
       "      <td>3.542922e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.055402</td>\n",
       "      <td>3.928463e-01</td>\n",
       "      <td>4.621722e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.052395</td>\n",
       "      <td>4.171328e-01</td>\n",
       "      <td>4.634809e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.049625</td>\n",
       "      <td>4.441256e-01</td>\n",
       "      <td>4.675006e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-PD)</th>\n",
       "      <td>0.012096</td>\n",
       "      <td>8.524232e-01</td>\n",
       "      <td>8.524232e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             r             p             q\n",
       "(UDCA, Derep-UnweightedUniFrac-PC1)   0.501014  1.176004e-16  2.352007e-15\n",
       "(DCA, Derep-UnweightedUniFrac-PC1)    0.386231  5.856208e-10  5.856208e-09\n",
       "(UDCA, Derep-PD)                     -0.381972  1.013091e-09  6.753941e-09\n",
       "(CDCA, Derep-UnweightedUniFrac-PC1)   0.344787  4.192013e-08  2.096007e-07\n",
       "(CDCA, Derep-PD)                     -0.326781  2.366091e-07  9.464364e-07\n",
       "(CA, Derep-PD)                       -0.308142  1.188813e-06  3.962709e-06\n",
       "(CA, Derep-UnweightedUniFrac-PC1)     0.296417  2.960247e-06  8.457849e-06\n",
       "(DCA, Derep-PD)                      -0.216677  7.453526e-04  1.863381e-03\n",
       "(UDCA, k__Bacteria;p__Bacteroidetes) -0.183275  4.228484e-03  9.396632e-03\n",
       "(LCA, Derep-UnweightedUniFrac-PC1)    0.148784  2.112381e-02  4.224762e-02\n",
       "(UDCA, Derep-WeightedUniFrac-PC1)     0.117213  6.989026e-02  1.270732e-01\n",
       "(CDCA, k__Bacteria;p__Bacteroidetes) -0.108633  9.176084e-02  1.508338e-01\n",
       "(DCA, k__Bacteria;p__Bacteroidetes)  -0.106599  9.804197e-02  1.508338e-01\n",
       "(CDCA, Derep-WeightedUniFrac-PC1)     0.091532  1.574887e-01  2.249839e-01\n",
       "(DCA, Derep-WeightedUniFrac-PC1)      0.080415  2.144957e-01  2.859942e-01\n",
       "(LCA, k__Bacteria;p__Bacteroidetes)  -0.069227  2.834337e-01  3.542922e-01\n",
       "(CA, Derep-WeightedUniFrac-PC1)       0.055402  3.928463e-01  4.621722e-01\n",
       "(CA, k__Bacteria;p__Bacteroidetes)   -0.052395  4.171328e-01  4.634809e-01\n",
       "(LCA, Derep-WeightedUniFrac-PC1)      0.049625  4.441256e-01  4.675006e-01\n",
       "(LCA, Derep-PD)                       0.012096  8.524232e-01  8.524232e-01"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pairwise_corr_all(fecal_water_pg_bile_acids.T, pt_md[['Derep-PD', 'Derep-UnweightedUniFrac-PC1', 'Derep-WeightedUniFrac-PC1', \"k__Bacteria;p__Bacteroidetes\"]]).sort('q', ascending=True)\n",
    "df.to_csv('fecal-water-microbiome-parent-group.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/caporaso/miniconda3/envs/crc-udca1/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: sort(columns=....) is deprecated, use sort_values(by=.....)\n",
      "  if __name__ == '__main__':\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r</th>\n",
       "      <th>p</th>\n",
       "      <th>q</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.501014</td>\n",
       "      <td>1.176004e-16</td>\n",
       "      <td>2.352007e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.386231</td>\n",
       "      <td>5.856208e-10</td>\n",
       "      <td>5.856208e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-PD)</th>\n",
       "      <td>-0.381972</td>\n",
       "      <td>1.013091e-09</td>\n",
       "      <td>6.753941e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.344787</td>\n",
       "      <td>4.192013e-08</td>\n",
       "      <td>2.096007e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-PD)</th>\n",
       "      <td>-0.326781</td>\n",
       "      <td>2.366091e-07</td>\n",
       "      <td>9.464364e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-PD)</th>\n",
       "      <td>-0.308142</td>\n",
       "      <td>1.188813e-06</td>\n",
       "      <td>3.962709e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.296417</td>\n",
       "      <td>2.960247e-06</td>\n",
       "      <td>8.457849e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-PD)</th>\n",
       "      <td>-0.216677</td>\n",
       "      <td>7.453526e-04</td>\n",
       "      <td>1.863381e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.183275</td>\n",
       "      <td>4.228484e-03</td>\n",
       "      <td>9.396632e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-UnweightedUniFrac-PC1)</th>\n",
       "      <td>0.148784</td>\n",
       "      <td>2.112381e-02</td>\n",
       "      <td>4.224762e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(UDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.117213</td>\n",
       "      <td>6.989026e-02</td>\n",
       "      <td>1.270732e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.108633</td>\n",
       "      <td>9.176084e-02</td>\n",
       "      <td>1.508338e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.106599</td>\n",
       "      <td>9.804197e-02</td>\n",
       "      <td>1.508338e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CDCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.091532</td>\n",
       "      <td>1.574887e-01</td>\n",
       "      <td>2.249839e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(DCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.080415</td>\n",
       "      <td>2.144957e-01</td>\n",
       "      <td>2.859942e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.069227</td>\n",
       "      <td>2.834337e-01</td>\n",
       "      <td>3.542922e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.055402</td>\n",
       "      <td>3.928463e-01</td>\n",
       "      <td>4.621722e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(CA, k__Bacteria;p__Bacteroidetes)</th>\n",
       "      <td>-0.052395</td>\n",
       "      <td>4.171328e-01</td>\n",
       "      <td>4.634809e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-WeightedUniFrac-PC1)</th>\n",
       "      <td>0.049625</td>\n",
       "      <td>4.441256e-01</td>\n",
       "      <td>4.675006e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(LCA, Derep-PD)</th>\n",
       "      <td>0.012096</td>\n",
       "      <td>8.524232e-01</td>\n",
       "      <td>8.524232e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             r             p             q\n",
       "(UDCA, Derep-UnweightedUniFrac-PC1)   0.501014  1.176004e-16  2.352007e-15\n",
       "(DCA, Derep-UnweightedUniFrac-PC1)    0.386231  5.856208e-10  5.856208e-09\n",
       "(UDCA, Derep-PD)                     -0.381972  1.013091e-09  6.753941e-09\n",
       "(CDCA, Derep-UnweightedUniFrac-PC1)   0.344787  4.192013e-08  2.096007e-07\n",
       "(CDCA, Derep-PD)                     -0.326781  2.366091e-07  9.464364e-07\n",
       "(CA, Derep-PD)                       -0.308142  1.188813e-06  3.962709e-06\n",
       "(CA, Derep-UnweightedUniFrac-PC1)     0.296417  2.960247e-06  8.457849e-06\n",
       "(DCA, Derep-PD)                      -0.216677  7.453526e-04  1.863381e-03\n",
       "(UDCA, k__Bacteria;p__Bacteroidetes) -0.183275  4.228484e-03  9.396632e-03\n",
       "(LCA, Derep-UnweightedUniFrac-PC1)    0.148784  2.112381e-02  4.224762e-02\n",
       "(UDCA, Derep-WeightedUniFrac-PC1)     0.117213  6.989026e-02  1.270732e-01\n",
       "(CDCA, k__Bacteria;p__Bacteroidetes) -0.108633  9.176084e-02  1.508338e-01\n",
       "(DCA, k__Bacteria;p__Bacteroidetes)  -0.106599  9.804197e-02  1.508338e-01\n",
       "(CDCA, Derep-WeightedUniFrac-PC1)     0.091532  1.574887e-01  2.249839e-01\n",
       "(DCA, Derep-WeightedUniFrac-PC1)      0.080415  2.144957e-01  2.859942e-01\n",
       "(LCA, k__Bacteria;p__Bacteroidetes)  -0.069227  2.834337e-01  3.542922e-01\n",
       "(CA, Derep-WeightedUniFrac-PC1)       0.055402  3.928463e-01  4.621722e-01\n",
       "(CA, k__Bacteria;p__Bacteroidetes)   -0.052395  4.171328e-01  4.634809e-01\n",
       "(LCA, Derep-WeightedUniFrac-PC1)      0.049625  4.441256e-01  4.675006e-01\n",
       "(LCA, Derep-PD)                       0.012096  8.524232e-01  8.524232e-01"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pairwise_corr_all(plasma_pg_bile_acids.T, pt_md[['Derep-PD', 'Derep-UnweightedUniFrac-PC1', 'Derep-WeightedUniFrac-PC1', \"k__Bacteria;p__Bacteroidetes\"]]).sort('q', ascending=True)\n",
    "df.to_csv('plasma-microbiome-parent-group.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bile acid/demographic correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UDCA    -0.005962\n",
       "LCA      0.044389\n",
       "CDCA     0.036785\n",
       "DCA      0.165866\n",
       "CA       0.064931\n",
       "GUDCA    0.018778\n",
       "TUDCA   -0.014249\n",
       "TLCA    -0.100667\n",
       "GLCA     0.063095\n",
       "TCDCA   -0.039364\n",
       "GCDCA   -0.013702\n",
       "TDCA    -0.004316\n",
       "GDCA     0.020738\n",
       "TCA      0.018153\n",
       "GCA      0.039876\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fecal_water_bile_acids.T.corrwith(pt_md['bmi'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "parent-group\n",
       "CA      0.064679\n",
       "CDCA    0.036663\n",
       "DCA     0.165674\n",
       "LCA     0.044379\n",
       "UDCA   -0.005962\n",
       "dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fecal_water_pg_bile_acids.T.corrwith(pt_md['bmi'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UDCA    -0.021392\n",
       "LCA      0.054787\n",
       "CDCA    -0.094371\n",
       "DCA     -0.049648\n",
       "CA      -0.112971\n",
       "GUDCA   -0.012830\n",
       "TUDCA    0.021728\n",
       "TLCA     0.072214\n",
       "GLCA     0.013594\n",
       "TCDCA   -0.026856\n",
       "GCDCA    0.005530\n",
       "TDCA    -0.065808\n",
       "GDCA    -0.024899\n",
       "TCA     -0.035268\n",
       "GCA     -0.053619\n",
       "dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fecal_water_bile_acids.T.corrwith(pt_md['age'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "parent-group\n",
       "CA     -0.112582\n",
       "CDCA   -0.094304\n",
       "DCA    -0.049888\n",
       "LCA     0.054844\n",
       "UDCA   -0.021233\n",
       "dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fecal_water_pg_bile_acids.T.corrwith(pt_md['age'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bile acid/microbiome/demographic associations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import scipy.stats\n",
    "from itertools import product\n",
    "\n",
    "def group_category_u(ptid_md, ba_profile, group, category, group_values):\n",
    "    df = pd.concat([ptid_md, ba_profile.T], axis=1, join='inner')\n",
    "    if len(group_values) != 2:\n",
    "        raise ValueError(\"Can only support two categories.\")\n",
    "    grouped = df.groupby(group)\n",
    "    group0_values = grouped.get_group(group_values[0])[category]\n",
    "    group1_values = grouped.get_group(group_values[1])[category]\n",
    "    return scipy.stats.mannwhitneyu(group0_values, group1_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "groups = (['male'], [0, 1])\n",
    "categories = ['bmi', 'Derep-PD', 'Derep-UnweightedUniFrac-PC1', 'Derep-WeightedUniFrac-PC1', 'k__Bacteria;p__Bacteroidetes']\n",
    "\n",
    "#for e in product(groups, ):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=3868.0, pvalue=0.0015951752595092861)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_category_u(pt_md, fecal_water_bile_acids, 'male', 'bmi', [0, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=5159.0, pvalue=0.7041884415031735)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_category_u(pt_md, fecal_water_bile_acids, 'male', 'Derep-PD', [0, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=6400.0, pvalue=0.022154076807547645)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_category_u(pt_md, fecal_water_bile_acids, 'male', 'Derep-UnweightedUniFrac-PC1', [0, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=4206.0, pvalue=0.015111754315008811)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_category_u(pt_md, fecal_water_bile_acids, 'male', 'Derep-WeightedUniFrac-PC1', [0, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=5051.0, pvalue=0.54054202159985265)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_category_u(pt_md, fecal_water_bile_acids, 'male', 'k__Bacteria;p__Bacteroidetes', [0, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Beta diversity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from skbio.diversity import beta_diversity\n",
    "from sklearn.metrics import pairwise_distances\n",
    "from functools import partial\n",
    "from skbio.stats.distance import mantel\n",
    "\n",
    "pairwise_func = partial(pairwise_distances, n_jobs=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0793916880438 0.012 196\n"
     ]
    }
   ],
   "source": [
    "plasma_bile_acids_dm = beta_diversity(\"braycurtis\", np.asarray(plasma_bile_acids.T.round(), dtype=np.int), \n",
    "                                           ids=plasma_bile_acids.columns, pairwise_func=pairwise_func)\n",
    "fecal_water_bile_acids_dm = beta_diversity(\"braycurtis\", np.asarray(fecal_water_bile_acids.T.round(), dtype=np.int), \n",
    "                                           ids=fecal_water_bile_acids.columns, pairwise_func=pairwise_func)\n",
    "r, p_value, n = mantel(fecal_water_bile_acids_dm, plasma_bile_acids_dm, strict=False)\n",
    "print(r, p_value, n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0617627351959 0.043 196\n"
     ]
    }
   ],
   "source": [
    "plasma_pg_bile_acids_dm = beta_diversity(\"braycurtis\", np.asarray(plasma_pg_bile_acids.T.round(), dtype=np.int), \n",
    "                                           ids=plasma_pg_bile_acids.columns, pairwise_func=pairwise_func)\n",
    "fecal_pg_water_bile_acids_dm = beta_diversity(\"braycurtis\", np.asarray(fecal_water_pg_bile_acids.T.round(), dtype=np.int), \n",
    "                                           ids=fecal_water_pg_bile_acids.columns, pairwise_func=pairwise_func)\n",
    "r, p_value, n = mantel(plasma_pg_bile_acids_dm, fecal_pg_water_bile_acids_dm, strict=False)\n",
    "print(r, p_value, n)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```shell\n",
    "filter_samples_from_otu_table.py -i combined-derep.rdp-tax-99.ms2.biom -o combined-derep.rdp-tax-99.ms2.biom.pre -m master-map.tsv --valid_states=\"visit:pre\"\n",
    "\n",
    "collapse_samples.py -b combined-derep.rdp-tax-99.ms2.biom.pre --output_biom_fp combined-derep.rdp-tax-99.ms2.pre-ptid.biom -m master-map.tsv --output_mapping_fp map.pre-ptid.tsv --collapse_fields ptid --collapse_mode median\n",
    "\n",
    "biom convert -i combined-derep.rdp-tax-99.ms2.pre-ptid.biom -o combined-derep.rdp-tax-99.ms2.pre-ptid.tsv --to-tsv\n",
    "```\n",
    "\n",
    "```shell\n",
    "biom convert -i combined-derep.rdp-tax-99.ms2.biom -o combined-derep.rdp-tax-99.ms2.tsv --to-tsv\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "Midpoint root the tree with ete3, since the scikit-bio midpoint rooting is broken (https://github.com/biocore/scikit-bio/pull/1208).\n",
    "\n",
    "```python\n",
    "from ete3 import Tree\n",
    "t = Tree(\"combined-ssu-align/combined-ssu-align.bacteria.mask.tre\", format=1)\n",
    "t.set_outgroup(t.get_midpoint_outgroup())\n",
    "t.write(outfile=\"combined-ssu-align/combined-ssu-align.bacteria.mask.mid-rooted.tre\", format=1)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# adapted from q2d2...\n",
    "from skbio.stats import subsample_counts\n",
    "from skbio.stats.distance import MissingIDError\n",
    "def rarify(biom, even_sampling_depth):\n",
    "    data = []\n",
    "    sample_ids = []\n",
    "    for e in biom.index:\n",
    "        count_vector = biom.loc[e]\n",
    "        if count_vector.sum() < even_sampling_depth:\n",
    "            continue\n",
    "        else:\n",
    "            sample_ids.append(e)\n",
    "            data.append(subsample_counts(count_vector.astype(int), even_sampling_depth))\n",
    "    result = pd.DataFrame(np.asarray(data), index=sample_ids, columns=biom.columns)\n",
    "    # drop OTUs with zero count and return the result\n",
    "    return result.loc[:,[result[e].sum()>0 for e in result.columns]]\n",
    "\n",
    "def intersect_tree_biom(tree, biom):\n",
    "    tip_names = set([e.name for e in tree.tips()])\n",
    "    otu_ids = set(biom.columns)\n",
    "    common_ids = tip_names & otu_ids\n",
    "    tree = tree.shear(common_ids)\n",
    "    biom = biom[list(common_ids)]\n",
    "    return tree, biom\n",
    "\n",
    "def extract_distance_distribution(dm, pairs):\n",
    "    result = []\n",
    "    for p in pairs:\n",
    "        try:\n",
    "            result.append(dm[p])\n",
    "        except MissingIDError:\n",
    "            pass\n",
    "    return result\n",
    "    \n",
    "from crc import get_group_pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from skbio import TreeNode\n",
    "skbio_rooted_tree = TreeNode.read(\"combined-ssu-align/combined-ssu-align.bacteria.mask.mid-rooted.tre\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "skbio_unrooted_tree = TreeNode.read(\"combined-ssu-align/combined-ssu-align.bacteria.mask.tre\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "derep_otus_ptid = pd.read_csv('combined-derep.rdp-tax-99.ms2.pre-ptid.tsv', sep='\\t', skiprows=1, index_col=0).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "skbio_rooted_tree, derep_otus_ptid = intersect_tree_biom(skbio_rooted_tree, derep_otus_ptid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-35-d4b149d7c838>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mderep_otus_ptid_even\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrarify\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mderep_otus_ptid\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m5000\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-30-e0f587c4ee6c>\u001b[0m in \u001b[0;36mrarify\u001b[1;34m(biom, even_sampling_depth)\u001b[0m\n\u001b[0;32m     14\u001b[0m     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msample_ids\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbiom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m     \u001b[1;31m# drop OTUs with zero count and return the result\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m>\u001b[0m\u001b[1;36m0\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0me\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mintersect_tree_biom\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtree\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbiom\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-30-e0f587c4ee6c>\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m     14\u001b[0m     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msample_ids\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbiom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m     \u001b[1;31m# drop OTUs with zero count and return the result\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m>\u001b[0m\u001b[1;36m0\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0me\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mintersect_tree_biom\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtree\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbiom\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "derep_otus_ptid_even = rarify(derep_otus_ptid, 5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print(derep_otus_ptid_even.shape)\n",
    "print(derep_otus_ptid.shape)\n",
    "print(repr(skbio_rooted_tree))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "derep_otus_ptid_bray_curtis = beta_diversity(metric=\"braycurtis\", counts=np.asarray(derep_otus_ptid_even, dtype=np.int),\n",
    "                               ids=derep_otus_ptid_even.index, pairwise_func=pairwise_func)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print(mantel(derep_otus_ptid_bray_curtis, fecal_water_bile_acids_dm, strict=False))\n",
    "print(mantel(derep_otus_ptid_bray_curtis, plasma_bile_acids_dm, strict=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# this took about 30 mins\n",
    "derep_otus_ptid_unweighted_unifrac = beta_diversity(metric=\"unweighted_unifrac\", counts=np.asarray(derep_otus_ptid_even, dtype=np.int),\n",
    "                               ids=derep_otus_ptid_even.index, pairwise_func=pairwise_func, tree=skbio_rooted_tree,\n",
    "                               otu_ids=derep_otus_ptid_even.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "derep_otus_ptid_unweighted_unifrac.write('combined-derep.rdp-tax-99.ms2.pre-ptid.uu-dm.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print(mantel(derep_otus_ptid_unweighted_unifrac, derep_otus_ptid_bray_curtis, strict=False))\n",
    "print(mantel(derep_otus_ptid_unweighted_unifrac, fecal_water_bile_acids_dm, strict=False))\n",
    "print(mantel(derep_otus_ptid_unweighted_unifrac, plasma_bile_acids_dm, strict=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distance distribution comparisons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "derep_otus = pd.read_csv('combined-derep.rdp-tax-99.ms2.tsv', sep='\\t', skiprows=1, index_col=0).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "skbio_rooted_tree, derep_otus = intersect_tree_biom(skbio_rooted_tree, derep_otus)\n",
    "derep_otus_even = rarify(derep_otus, 5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "derep_otus_bray_curtis = beta_diversity(metric=\"braycurtis\", counts=np.asarray(derep_otus_even, dtype=np.int),\n",
    "                                        ids=derep_otus_even.index, pairwise_func=pairwise_func)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:102: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.2224680416543777 and the largest is 19.707923004377832.\n",
      "  RuntimeWarning\n"
     ]
    }
   ],
   "source": [
    "import skbio.stats.ordination\n",
    "derep_otus_pcoa = skbio.stats.ordination.pcoa(derep_otus_bray_curtis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/SD+c2IaneaevLcd+O4kOwzOsf/0NRA3bd/h3E13bIVHI1SWXVFFZ2UpLSyMz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jyeJvr6xnP77Z3cdtty7rxzFq+/vhevV3eSs9t3MmNG5PqCGYn7YYQ+c6o/G0+VBjmzM/DTjQET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\nfe/x/vuUiqrqTMXHwpVOEESsV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      "text/plain": [
       "<skbio._base.OrdinationResults at 0x7f5749d7d3c8>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "derep_otus_pcoa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Female, UDCA 54\n",
      "Male, UDCA 173\n",
      "Female, Placebo 79\n",
      "Male, Placebo 145\n"
     ]
    }
   ],
   "source": [
    "print(\"Female, UDCA\", np.array([sample_md['male'][e[0]] == 0.0 for e in udca_pairs]).sum())\n",
    "print(\"Male, UDCA\", np.array([sample_md['male'][e[0]] == 1.0 for e in udca_pairs]).sum())\n",
    "print(\"Female, Placebo\", np.array([sample_md['male'][e[0]] == 0.0 for e in placebo_pairs]).sum())\n",
    "print(\"Male, Placebo\", np.array([sample_md['male'][e[0]] == 1.0 for e in placebo_pairs]).sum())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n",
      "/home/gregcaporaso/.conda/envs/data-analysis/lib/python3.5/site-packages/sklearn/externals/joblib/hashing.py:197: DeprecationWarning: Changing the shape of non-C contiguous array by\n",
      "descriptor assignment is deprecated. To maintain\n",
      "the Fortran contiguity of a multidimensional Fortran\n",
      "array, use 'a.T.view(...).T' instead\n",
      "  obj_bytes_view = obj.view(self.np.uint8)\n"
     ]
    }
   ],
   "source": [
    "derep_otus_unweighted_unifrac = beta_diversity(metric=\"unweighted_unifrac\", counts=np.asarray(derep_otus_even, dtype=np.int),\n",
    "                               ids=derep_otus_even.index, pairwise_func=pairwise_func, tree=skbio_rooted_tree,\n",
    "                               otu_ids=derep_otus_even.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'derep_even5000_unweighted_unifrac_dm.txt'"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "derep_otus_unweighted_unifrac.write('derep_even5000_unweighted_unifrac_dm.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U=15523.00, p=0.829\n"
     ]
    },
    {
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ppUmONjo6QnFxIQUFp2hosP6tqZQKoqI0JMb5EhU5M1vdzgdy/U1msVjo7hmj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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58e48efb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "udca_pairs = get_group_pairs(sample_md, 'UDCA')\n",
    "udca_pairwise_distances = extract_distance_distribution(derep_otus_unweighted_unifrac, udca_pairs)\n",
    "placebo_pairs = get_group_pairs(sample_md, 'placebo')\n",
    "placebo_pairwise_distances = extract_distance_distribution(derep_otus_unweighted_unifrac, placebo_pairs)\n",
    "u, p = scipy.stats.mannwhitneyu(udca_pairwise_distances, placebo_pairwise_distances)\n",
    "ax = sns.violinplot(data=[udca_pairwise_distances, placebo_pairwise_distances], palette=['#C9C282', '#C9C282'])\n",
    "ax.set_ylim(0,1)\n",
    "ax.set_xticklabels(['UDCA', 'Placebo'])\n",
    "ax.set_ylabel(\"Pairwise Baseline/End-of-study Distances\\n (Unweighted UniFrac)\")\n",
    "print('U=%1.2f, p=%1.3f' % (u, p))\n",
    "ax.get_figure().savefig('derep_even5000_unweighted_unifrac_violin.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<a href='derep_even5000_unweighted_unifrac_violin.pdf' target='_blank'>derep_even5000_unweighted_unifrac_violin.pdf</a><br>"
      ],
      "text/plain": [
       "/home/gregcaporaso/data-analysis/2015-nacp-raw-data/derep_even5000_unweighted_unifrac_violin.pdf"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import FileLink\n",
    "FileLink('derep_even5000_unweighted_unifrac_violin.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Alpha diversity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from skbio.diversity import alpha_diversity\n",
    "derep_otus_ptid_faith_pd = alpha_diversity(metric=\"faith_pd\", counts=np.asarray(derep_otus_ptid_even, dtype=np.int),\n",
    "                               ids=derep_otus_ptid_even.index, tree=skbio_rooted_tree,\n",
    "                               otu_ids=derep_otus_ptid_even.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "derep_otus_faith_pd = alpha_diversity(metric=\"faith_pd\", counts=np.asarray(derep_otus_even, dtype=np.int),\n",
    "                               ids=derep_otus_even.index, tree=skbio_rooted_tree,\n",
    "                               otu_ids=derep_otus_even.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "derep_otus_faith_pd[\"udca.trial.265DU6B42E0FG\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Taxa/PCoA correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sample_md[\"k__Bacteria;p__Bacteroidetes\"].corr(sample_md[\"Derep-WeightedUniFrac-PC1\"])"
   ]
  }
 ],
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