jupyter-notebooks/plotting/Figure2-SimDataDistributions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nice color picker to generate color schemes: https://coolors.co"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import display,SVG\n",
    "from matplotlib.ticker import MaxNLocator\n",
    "from scipy.stats import entropy\n",
    "import glob\n",
    "import MESS\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import collections\n",
    "\n",
    "pd.set_option('display.max_rows', 500)\n",
    "pd.set_option('display.max_columns', 500)\n",
    "\n",
    "analysis_dir = \"/home/isaac/Continuosity/MESS/analysis/figure2-sims/lambda_0.75/\"\n",
    "sp_dict = {\"no\":0, \"lo\":0.0025, \"hi\":0.005}\n",
    "\n",
    "#analysis_dir = \"/home/isaac/Continuosity/MESS/analysis/figure2-sims/lambda_0.5/\"\n",
    "#sp_dict = {\"no\":0, \"lo\":0.0005, \"hi\":0.005}\n",
    "\n",
    "# Lower environmental strength means it doesn't work as good\n",
    "#analysis_dir = \"/home/isaac/Continuosity/MESS/analysis/figure2-sims/generations_100/\"\n",
    "#sp_dict = {\"no\":0, \"lo\":0.00005, \"hi\":0.0001}\n",
    "\n",
    "models = [\"neutral\", \"competition\", \"filtering\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa92acaa780>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_abundance(ax='', figsize=(5, 5), speciation_prob=\"no\"):\n",
    "    if not ax:\n",
    "        fig, ax = plt.subplots(figsize=figsize)\n",
    "\n",
    "    for m in models:\n",
    "        simdir = analysis_dir + \"{}_MESS/\".format(m)\n",
    "\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog.txt\".format(simdir, speciation_prob))\n",
    "\n",
    "        log_dat = [pd.read_csv(x)[\"abundance\"].sort_values(ascending=False).values for x in logs]\n",
    "\n",
    "        log_df = pd.concat(map(pd.Series, log_dat), axis=1)\n",
    "#        mask = (log_df.notna().sum() >= 15) & (log_df.notna().sum() <= 16)\n",
    "        mask = (log_df.notna().sum() >= 5) & (log_df.notna().sum() <= 50)\n",
    "        log_df = log_df.loc[:, mask]\n",
    "\n",
    "        means = log_df.apply(np.mean, axis=1)\n",
    "        stds = log_df.apply(np.std, axis=1)\n",
    "        xs = range(0, len(means))\n",
    "        ax.plot(xs, np.log(means), c=MESS.plotting.model_colors[m])\n",
    "        ax.plot(xs, np.log(means + stds), c=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.plot(xs, np.log(np.clip(means - stds, 1, a_max=None)), color=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.fill_between(xs, np.log(np.clip(means - stds, 1, a_max=None)), np.log(means + stds),\n",
    "                        color=MESS.plotting.model_colors[m], alpha=0.25)\n",
    "        ax.set_xlim(0, 35)\n",
    "\n",
    "def plot_pi(ax='', figsize=(5, 5), speciation_prob=\"no\"):\n",
    "    if not ax:\n",
    "        fig, ax = plt.subplots(figsize=figsize)\n",
    "\n",
    "    for m in models:\n",
    "        simdir = analysis_dir + \"{}_MESS/\".format(m)\n",
    "\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog.txt\".format(simdir, speciation_prob))\n",
    "\n",
    "        log_dat = [pd.read_csv(x)[\"pi_local\"].sort_values(ascending=False).values for x in logs]\n",
    "\n",
    "        log_df = pd.concat(map(pd.Series, log_dat), axis=1)\n",
    "#        mask = (log_df.notna().sum() >= 15) & (log_df.notna().sum() <= 16)\n",
    "        mask = (log_df.notna().sum() >= 5) & (log_df.notna().sum() <= 50)\n",
    "        log_df = log_df.loc[:, mask]\n",
    "\n",
    "        means = log_df.apply(np.mean, axis=1)\n",
    "        stds = log_df.apply(np.std, axis=1)\n",
    "        xs = range(0, len(means))\n",
    "        ax.plot(xs, means, c=MESS.plotting.model_colors[m])\n",
    "        ax.plot(xs, means + stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.plot(xs, means - stds, color=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.fill_between(xs, means - stds, means + stds,\n",
    "                        color=MESS.plotting.model_colors[m], alpha=0.25)\n",
    "        ax.set_xlim(0, 15)\n",
    "        ax.set_ylim(0, 0.005)\n",
    "\n",
    "\n",
    "def plot_richness(ax='', figsize=(5, 5), simfile=analysis_dir + \"SIMOUT.txt\",\\\n",
    "                     k=\"epa\", speciation_prob=\"no\", xlim=(0,45), legend=False):\n",
    "    if not ax:\n",
    "        fig, ax = plt.subplots(figsize=figsize)\n",
    "\n",
    "    labels, sim_df = MESS.plotting._filter_sims(simfile,\\\n",
    "                            feature_set=[\"S\", \"speciation_prob\"],\\\n",
    "                            normalize_hills=False)\n",
    "\n",
    "    mask = (sim_df[\"S\"] > 5) & (sim_df[\"speciation_prob\"] == sp_dict[speciation_prob])\n",
    "    sim_df = sim_df[mask]\n",
    "    labels = labels[mask]\n",
    "\n",
    "    neut_df = sim_df[labels.values == \"neutral\"]\n",
    "    filt_df = sim_df[labels.values == \"filtering\"]\n",
    "    comp_df = sim_df[labels.values == \"competition\"]\n",
    "    \n",
    "    bw_method=4\n",
    "    ax = sns.kdeplot(neut_df[\"S\"], ax=ax, shade=True, color=MESS.plotting.model_colors[\"neutral\"],\n",
    "                    label=\"neutral\", bw=bw_method, kernel=k, legend=legend)\n",
    "    ax.set_xlim(xlim)\n",
    "    ax = sns.kdeplot(filt_df[\"S\"], ax=ax, shade=True, color=MESS.plotting.model_colors[\"filtering\"],\n",
    "                    label=\"filtering\", bw=bw_method, kernel=k, legend=legend)\n",
    "    ax.set_xlim(xlim)\n",
    "    ax = sns.kdeplot(comp_df[\"S\"], ax=ax, shade=True, color=MESS.plotting.model_colors[\"competition\"],\n",
    "                    label=\"competition\", bw=bw_method, kernel=k, legend=legend)\n",
    "    ax.set_xlim(xlim)\n",
    "    ax.set_ylim(0, 0.15)\n",
    "\n",
    "    ## If you have a legend, increase the font size\n",
    "    try:\n",
    "#        plt.legend(fontsize='20', loc='upper left')\n",
    "        plt.setp(ax.get_legend().get_texts(), fontsize='15') \n",
    "    except:\n",
    "        pass\n",
    "#plot_abundance()\n",
    "#plot_pi(speciation_prob=\"hi\")\n",
    "sim_df = plot_richness(speciation_prob=\"lo\", legend=False)\n",
    "plt.legend(bbox_to_anchor=(1, 0.5), fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2251"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels, sim_df = MESS.plotting._filter_sims(analysis_dir + \"SIMOUT.txt\",\\\n",
    "                            feature_set=[\"S\", \"speciation_prob\"],\\\n",
    "                            normalize_hills=False)\n",
    "len(labels)\n",
    "#np.sum(sim_df[\"speciation_prob\"] == 0)\n",
    "#print(analysis_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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mVOSVBiNN7i4+8DOMoI8Tq76GNmIbJ+zMXEFT/hXMPfBTbH0tgz7LsFmlKS3GJMEoZlS9b+TlgPbeeuYc/Q31RTficRfFde+KZZ/D4u9l7r4fDzoeCkapMYrRSTCKGXVuOeDgPsbiAz/DMP2cXfzXcd+7N6WEurm3UHjkVzi6KvuPh5YF+tGyLFCMQoJRzKh6rx+bUrgt534Vz9UWb6LPVTih+59d/AmUGaDgxMP9xzJsVvzhZYFCjESCUcyoyM7dA1+CNXf/T8O1xY9P+P5eZx7t2WvIPfU4hGuIkWZ7vQzAiFFIMIoZNXTVi723noJjv6G++D0Tri1GNBTegLOzgpSmPYC8RlWMT4JRzKjaPt+g/sU5Rx/ECPo4u+juSXtG85yrMA0beaceB2RZoBifBKOYUXVeH1n2cI1Rm+SdfIy27LWTVlsECNhSaMnbSO6pp1BmoD8YZWRajEaCUcyYvqBJWyDYP4cxrX4ryd2VNBS/Z9Kf1VB0I/a+ZtJrt/QvC5SmtBiNBKOYMXX9rzQINaXzTz5KwOqkqeDKSX9WS+4G/LYU8sofl2WBYlwSjGLGRIIx227F8PeQc/pZmgquxrQmT/qztMVOU8FVZJ95HiPQK8sCxZgkGMWMqR3wEqycM89jDfRQPwXN6IjGohuwBnrIPvuCLAsUY4oqGJVSNyuljiulypVSXx/h86VKqW1KKa9S6mtDPjujlDqolNqnlNo1WQUXs19/jdFmI+/ko3icBXRkrZqy57VnraYvOZec00/LskAxpnGDUSllAX4B3AKUAXcppcqGnNYK3Af8mJFdq7Veo7VeN5HCivNLbZ8Pq4KcvjoyarfQUHQTqClsxCiDlryNZNa8TqZF0eTzy9sCxYii+S1cD5RrrU9rrX3AY8BtA0/QWjdqrXcC8idYRK3O6yfLZqPg1BMoNPXFN035M1vyNmIJ9DLHUynLAsWoognGQqBqwPfV4WPR0sDLSqndSqkYNtUT57va8KqX3FNP0pG5clLnLo6mPfsighYH81r3AjLJW4wsmmAc6UW9sbQ/LtdaryXUFP+CUuqqER+i1D1KqV1KqV1NTU0x3F7MVrVeLznKh7vtyJRM0RmJaXHQnn0RCxrfAmRZoBhZNMFYDRQP+L4IqI32AVrr2vC/G4FnCDXNRzrvAa31Oq31upycnGhvL2axOq+fIk+oMdKcf/m0PbclbyNzO48CsvpFjCyaYNwJLFJKlSql7MBHgU3R3Fwp5VJKpUS+Bm4CDsVbWHH+8Jomrf4A8zoO0ZNSOi3N6IiW3EvJC7QC0pQWIxt3v3itdUAp9UXgJcACPKi1PqyUujf8+f1KqXxgF5AKmEqpLxMawc4GnglvKWUFHtFavzg1P4qYTer6Qk3Y0ra9NOdfNq3P9jrzsLlysemANKXFiKJ6kYbWejOwecix+wd8XU+oiT1UJ7B6IgUU56fIHMZCfxPN+bdM+/Pb8jaQ62+lwZM97c8WiU9WvogZEVn1kmUE6UpfOu3PDzWn26hvr5/2Z4vEJ8EoZkSdxwNAUsb8qZ3UPYrOzDLygh00eLqm/dki8UkwihlR23QSqw5g5l40MwVQFtJsNhoCCrQ5M2UQCUuCUcyIutZq8gOtdObMUDAC7qRUGqzpmA37ZqwMIjFJMIrppzW1vd3k4MW0OGasGE53DgFlpa3izRkrg0hMEoxi+jXup065yBjyLunplpbkAqChZveMlkMkHglGMf0qXqLWlk1qcuqMFiPDEvp3Q9MpCMp8RnGOBKOYdt6K12ixppNhn7lmNECGEVryX2+4oO7dGS2LSCwSjGJ6+XqobzwGQJZlZovSX2O0ZsKZ12a2MCKhSDCKCTtUWc/13/0VX/j1czz05l7K61vQo20AW/UGdUaoCZ0V1bqrqZNigBVNQ8oCOCvBKM6Z4V9NMdt5fH7u/OmjnGluZ/uJKn758g4A7rh0BY//w8eGX1DxMrWOfACyLDO7e7ahQrXGetd8OPJj8PWA3TWjZRKJQYJRTMg//uEFjtQ08YOP3czF8+dwtqmd53Yf5Ynth9hxsooNi4oHX1DxInUZtwIz35SGUDA2OPLB9EP12zB/6l7GJWYPaUqLuG3ee5yfv7Sdj2xYwfqFRVgMg/l5mdx7w3pSkx1875nXB1/QcRZaT1CbshQLmvQE+O3LtGhqjVQwrGM2p5s7e/jaQ5v57lN/4Vev7WTz3uO093imsaRiOkmNUcSlob2Lv/nlkyzIy+Rz1w9+x1my3cZHNqzgwTd2s+9MLWvmzQl9UPEyAHXOIjK9oabsTCuwwiteA521HDVGMP7z469w/yuDR67LCnPY+8MvYbfK/43ONwnwN1vMRvf+6lk6evv45gevHTEYPri+DJfDzr8988a5gxUvgTOXWpVCZgI0owEKrZpuU9GUvxEa9oKnddg5pxta+dVfdvGBdct4+Zt/w2N//1H+1/uv5EhNE//1wrYZKLWYahKMImZnm9p4dudR7rxsFaW5GSOe405ycPsly3hyxyGOVjeCGQg1VfMvpjagZnzgJaIwvPimPPMSQEPlG8PO+c6Tr2FRir++cg02i4W8NDfvvWgJly4q5jtPvkZdW+e0lllMPQlGEbOH394PwC1rFo953kc2rMBhtfL9Z7dA3U7wtkP+OuoCiTHwAqEaI0B50jywOKBq8LrpI9UNPPTWXm6/pIzslMEj1l98z6V4/QH+98MvTVdxxTSRYBQx0Vrzuy17WF2ST356ypjnpruSef/FS3nknX2c3vcSoPDlXUxzMHFqjPlWMNCUB6yQvXxYMH7r8Vdx2m3cdfnwjegLM9O449KVPPTWXrYePztdRRbTQIJRxGTXqRpO1DVz48qFUZ3/kQ0rCJqap3Yeg8wl1FvSgMSpMdoU5FnhlE9Bzipo3AfeDgB2n67hqR2H+ciGFaQ5k0a8/uNXriE31cUXH9xE0JR9Hc8XEowiJr9/cw92q4Wry+ZHdX5umpvSnDReqVaQv5Yqf2goOjuBBnLnWDXlPiB3FaCh+h0A/s/jr5Ka7OCOjStHvTbZbuNvb1jP3jN1PL3j8PQUWEw5CUYRNV8gwGNbD3DZ4rm4k+xRX3d5nuat7iL6stdxxBs6VmJNjKY0QKEVyn0KspaF5jNWvUlbt4cX9p3gfWuX4nKM/bNeXVZKpjuZP247ME0lFlNNglFE7cV9J2nu6uWmVYtiuu7GlNP0aRtvdxVw2KtIUpq8BKsxtpqKNpUEmUug+i1ePnASU2suWzx33OsthsFVy0rZvPc43X3eaSixmGoSjCJqD725lwxXEpcsGOlNuaO7Rf0FmzJ55VQnR7yKEltiTO6OiEzZ6e9nrNvJ5t2HSU12sLQwJ6p7XL2sFI8vwJ/3HJ/CkorpIsEootLW7WHT7qNct2IBVkv0vzYOTy05fae4KNPPKydaOORVlNgSpxkNA6bshPsZzaCfF/Ye45IFoWWO0Vg5N48st5Mnth+cwpKK6SLBKKLy9LuH8QWC3LgytmZ0RtPbAKwtzmRvs4e6gGJeggVjQbhZX+5TkL2CPb0FNPX42bAw+pqxxTC4ctk8/rxHmtPnAwlGEZWXD5wkJ9XF4oKsmK7LbH4bry2TVaXFEJ73OG9mX/UyTJIBORYdCka7m82+S1DomLsMrikrpc8f4Pndx6aopGK6SDCKcZmmyWsHy1lbOgelYugc1CbpTVtpS13F4hwXSdmhDWoTrSkNMMcabkoDmzvmc4mrnozk2CZbriiONKcPTUEJxXSSYBTj2n+2npZuDxeXzonpOnfnEez+NtrSVmExFFmFmRAIkpcgq14GCs1lVDR1+3i3NZlbU0+S0hFbwIVGp+fJ6PR5QIJRjOvVg+UArC0tjOm6jKbQROm21FUAWDNToL2bmtbeyS3gJCi0aRqCiueOt6CB96aeIq1lZ8z3uaZsvjSnzwMSjGJcrx4spzQ3g6wUZ0zXZTa9TXdyCT57aAeezuRkaO9i96nmqSjmhBSGB2CePttNRrKVJZlW0ltjf3Pgirl5ZKc4eXybjE7PZhKMYkx9Pj9vHTvD2hib0UbQS1rbLtpSQ8vpurWiTVlxevrYdbplKoo6IXPCU3beavZxSXEaXallpLXuQpmBmO5jKMWVS+fx4v4T9HrlXdWzlQSjGNO2E5V4fAEujrEZndq2B8P00ZYWakaf1aEqWbHN5MDZNkwzsfoZ54RHyrsdDjbMTaM9dTnWQDfuziMx3+vyJSV4fAFeOVA+yaUU00WCUYzp1UOnsBiK1SX5MV2X0bwVjUFHyjIAzoSDcWGyhe6+QML1M7oNSAoGINXFuqJU2lOWA5DesiPme60qycflsLNp99HJLqaYJhKMYkyvHCinrDAX5zgbKQyV3ryNTtdCgpZQv+QZbcGGZlmmA4CjNR2TXtaJsnR7SMpMITXJis+eQW9SYVzBaLNY2LCwiD/tOiZbkc1SEoxiVO09Hnafrom5f9Hi7yK14wDtaee26zpjWskjSEF6Mg6bhWMJFoymqelr7YTUcwNM7SllpLXuBB2M+X6XLymhqauH7SeqJrOYYppIMIpRvXGkAlNrLp4fW/9iWusulA72D7xAqCmdp4IYhqI428XR6vbJLu6EnG3qJtjeQ5/dji/c/dnfz9gRez/j+oXFWA1DmtOzVFTBqJS6WSl1XClVrpT6+gifL1VKbVNKeZVSX4vlWpG4Xj1YjtNuY1lhbkzXZbRsw1Q2Ot2hd8J0a0UzFvJVqOY1N9dNeUMXvkDiNDMPVbVDZw8oRZ0OrXiZSD+jO8nO6nn5PLsz9lAVM2/cYFRKWYBfALcAZcBdSqmyIae1AvcBP47jWpGgXjlQzqqS/Jh20wHIaH6HDvcSTCPUn1gZHniJBGNJrptAUHOqPnHerne4qh1neHpNdbi8PnsmvUlz4gpGgMsXl3CirpnjtU2TVk4xPaL5jV8PlGutT2utfcBjwG0DT9BaN2qtdwL+WK8ViammtYMTdc1cNC+2/kWbrxV35zHaBvQvVoRrYP01xhw3QEL1Mx6samNe+LUup/W5XXTbU5aHJnrH0c942ZISADbtkub0bBNNMBYCA3uQq8PHojGRa8UMeuNwBQAXzSuI6br05lDtqj3lXDCe1VZsaDIJNZ3TXHbSnLaEGZlu6/ZS2+phQbaTHIKcHBiM/fMZYw+3vDQ3i/KzeG6XNKdnm2iCcaTtVKKdnRv1tUqpe5RSu5RSu5qapOkx014/fJrUZAcL8mPbZiy9ZSsBI5ku14L+YxWmlVyC/bt2K6UoznEnTDAerg6VY15eCkUqwAnz3L5oE+lnBLhs8Vy2nqiksaN74gUV0yaaYKwGigd8XwTURnn/qK/VWj+gtV6ntV6XkxPddvJi6rx+5DQr5+ZjxLLNGKGJ3R0pZWgjVOsKajiibcw1Bi+tK8lNobqlly7P0N6X6Xe4qg2roSjOdlOogjRgoUOHfu4J9zMuKUFreH6PbCoxm0QTjDuBRUqpUqWUHfgosCnK+0/kWjFDqprbOd3QypoYm9EOTx3OnjO0pa7oP3ZaW+nFYIEaHIxzcxOnn/FQZTtFOS5sVoOicDnL9cBaYxnpLfH1My7Mz6IgPYUnZY/GWWXcYNRaB4AvAi8BR4HHtdaHlVL3KqXuBVBK5SulqoGvAP+klKpWSqWOdu1U/TBicrx++DQQR/9iyzYA2gfMX9wfbpbOHxKMxTkuFDMfjL6AyfHaTublhXYXLwoPEJ00Bw7ArMAa6IprPqNSiquWzeOVg+W0difWMkgxuqjmYWitN2utF2utF2itvxc+dr/W+v7w1/Va6yKtdarWOj38dedo14rE9saRCtKcSZTmZsZ0XUbzVnzWVLqdJf3HDmg7WQTJUIPnLCbbreSmJ894MJbXdeIPmpSGg9GlNJkEOTmwxhiuAWc0b43rGdcun08gaMqcxllEVr6IYf5y+BSrYu1f1JqMpq20py4HZUQOccC0U6pG3rprbm5oAEbrmdtp51BVaAVOSTgYAQpVkBMDaow+ewY9ycVkhGvEsVpckM2cjBSekD0aZw0JRjHImcY2zja1x9y/mNxTgcPb0L9bN0CVttCBwQJj5AGWuTlu2np8NHT0TajME3G4qp2sFAdpznObZBSpANVY6dHn/jC0pa4M78+rFfNQAAAgAElEQVQY+x6LoeZ0Ka8eOkVLlzSnZwMJRjHIG0fi61/MaB6hf1GHwmZo/2JEZADmaPXMNKe11hyqauvvX4yI9DOeGjSfcQWWoIfUtn1xPeuaMmlOzyYSjGKQ1w+fJt2ZRElORkzXZTRvpc+ejcdxbt/GA6aNFExyGHlN9JxMJ1ZDcaJuZoKxsaOP1m7fsGAsDAf5iSEDMBqj/w9ArBYXZDEnI5XHtx2Iv8Bi2kgwin5aa14/fJrVJQUx9i+apLdsC+2mM+C6A6ad+crPaLeyWgwKMp2crJuZNdPHakOBXJzjGnQ8TWlSMQcNwASsLrpc80mPcwBGKcXVy+bxmjSnZwUJRtGvorGNqpYOVsfYjHZ3HsHm7xjUjK7XBo1Yhs1fHKow28Xx2s4ZGYA5XtOJxVAUZrmGfVaoApwY0JSGUHM6tX0fRiC+YLtm+XyCpuaZd2XGWqKTYBT9Jtq/OHD/xQNmqH9xgTF2MBZlu+juC9DQPv0DMEdr2pmT5Rxx96AiFaRSW+kbkNdtqaswdID01thfqwqwKD+LwsxUeYPgLCDBKPq9tP8kWW4nJdnpMV2X3ryVnqQifPZz8x4PmDaSMcln7NUixdmhAZgT09ycNk3NibrO/p1+hipSAUzUoJ12OtxLMZVtgs3pUv5y+BTNnT1x3UNMDwlGAYDXH+CFvce5dHExKob+RWX6SG/dOai2COfmLxrj3Kog04mhmPZ+xuqWHnq9QYpHDcbwCpgB/YymxUGne3HcAzAA15SVhprTMjqd0CQYBQBbjlTQ1efj8sUl4588QGr7ASxBz6D+xVZtUIV13P5FAJvVID9j+gdgIjv7jFZjzMDEhTloaSCEugvcnUew+uJ7NcPCcHNaJnsnNglGAcCm3UdJslljfvFVRtM7aFRoxUvYgfD66AUqup1zirJdHK+b3gGY47WdOKwGeenJI36uVHgFzIAaI4SCUaFJb9ke13OlOT07SDAKtNY8t+so6+YX4rBZx79ggKzGv9DpXkLAeq7mtdu0k4TZ3xwdT1G2i/YeH81d3piePRHHajooynFhjNHWL1YBTg8ZgOlyLSRgSSaz6a24ny3N6cQnwSjYd6aO6paO/q34o+Xw1JHScYjm9HWDju827SxUASxRdlUWhQdgpqs57Q+YnKwffeAlolQFCKI4NqDWqA0rbamryWx8I7QYPA7SnE58EoyC53YdQSm4dFHx+CcPkNX4OgAtGZf0H6vVFuqwsjjKZjTAnCwniukLxtONXQSCetSBl4h54T7SQ6Z90PGW9LUk9dXj6joe1/OlOZ34JBgFm3YdZUVRHhmukfvbRpNV/yq9jgJ6k869xmdPOEQWj7JxxEgcNgu56cmcqJ2eYDxeE3rOeDVGl9IUEOCgObifsTVtLXDuD0M8pDmd2CQYL3BVze3sPVPHxsVzY7rOEugmo3krLRnrBi0D3GXaScckd5T10aMpynZN21zGY7UduJKsZKY4xj13nhHgsLYRHNBq9tkz6HLOJ7PhjbjLIM3pxCbBeIHbtDv09rvLY+xfzGh6G0P7aU4/14w2dajGuGiM9dGjKcp20dzlpbV76gdgjtZ0MDfHHdV8zVIVoAeDM0OWB7akryWtbQ9WX3wbYEhzOrFJMF7gNu06SnFWGnNjXO2S3fAqfoubzpSl/cfKtZUujJia0RFF2aH1yuVTXGv0+AJUNnWP278YEdlk9+CQaTut6RejMMlsejPuskhzOnFJMF7AOnr7eP3waS6LsRmtzABZDa/Tkr4WrSz9x3dH+hdjGHiJKAwH41Q3p0/WdWHq8fsXI7IwScPk0JB+xk7XAnzW1NDodJwW5mdRlJXGI2/Ht8ejmDoSjBewZ949jD9octWy0piuS23bi83fPmg0GkLBWECAVBX7NJZku5WctKQpD8Zj/Stehu+oMxKlQqPTB4eMTKMstKatIbNxS1xvDwzdW3HjyoW8caSCs01tcd1DTA0JxgvYI2/vZ05GKssKY3uPd1bDq5jKSmvamv5jPg0HtZ1F4+ymM5airKkfgDlW00GG20GK0z7+yWGlyk8jFhr14P+7tKavxe5vI6U9/gGUG1cuBOAPb0mtMZFIMF6g6tu7eO3QKa5fMT+mTSPQmuz6V2lPWUHQ4uw/fEjb8KHiakZHFGa7aGjvo6Mn9veqROtITXv/KxWiVdo/n3HotJ01aIwJTdspyEhhdUk+D725d0ZfCiYGk2C8QD2+7SCm1ly/YkFM17k7D+PsPUNT5oZBx3ebDizoqNdHjyQSWMdrp+ZVB23dXhra+yiJsn8xolAFsaOHTfQOWFPodC8mu+HVCZXrxlWLOF7XzM5T1RO6j5g8EowXqEfe3sei/KyY3+2SV7MJU1lpytw46Pgu006JCpAU4zSdgYqzXSjg2BRN9O7vX4yxxmhRUKICHBgyMg3QmHkZ7s5juDrjWwUDcPWyUhxWC79/c2/c9xCTS4LxAnSqvoUd5dVcF2NtEW2SW/M8rWlrCFjPvUCqVRuc0DaWTKC2CJBkt5KbnszxmqmpMR6t6cBQ56YGxaJUBajQg1+pCtCYdQWmspBX/Uzc5XIn2bl8SQmPvrMfXyD+PloxeSQYL0CPvLMfpYi5GZ3WuhOHt4HGrCsHHX833MQsi2P+4lDFOS6O1nZMSX/b0ZoOCjKdOGyW8U8eolT5MVEcGVJr9NvSaE1bS17Nsygz/lC7adUiWrs9bN57Iu57iMkjwXiB0Vrz8Fv7WD23gJzU2GpOeTWbCBpJw3bT2W46SMOkcJzXGESjOMdNW7eP5s7JXQGjteZYTUfUE7uHmqcCGGj2DZ22A9RnX4PD2xT3Kw8A1i0oJNOdzO+37In7HmLySDBeYPadqeN4XXPMzWhl+sip20xzxnpMS1L/8YCGnaadpcoX8zLAkUQmXh+d5OZ0dUsv3X0BSmLsX4xICs9n3DlCMLakX4zf4ia/+um4y2cxDK5bvoDn9xyTJYIJQILxAvPw2/uwWgyuLpsX03WZTW9h83fSkHXFoOOHtI1ejElpRgMUZoU2j53skel4B14GWqr8nNQ2WofMZ9SGjcasy8mufxmLvyvu+7/3oiX4gya/fn1X3PcQk0OC8QLS5/Pzuy172LiomNTkpPEvGCC35k/4ram0pa4edHx7eJrOROYvDmSzGszJdPYH2WQ5WtOBw2qQn+4c/+RRRAaXdo/SnLaYXnLqXoj7/qW5GVw0r4BfvrSdoBnb7kRickkwXkCe2H6I5q5ebltXFtN1lkAP2Q2v0ph5KdoYvMvMDtPB/AlO0xmqOMfN8dpOTHPyBmCOVrdTlOMe81UG4ylSQdyY/YNNA3W5FtGbNGdCzWmAD65fTmVLB3/afWxC9xETI8F4Afnly9uZm50e8wuvsutfwhL0DBuNrteh7bjK1OSuVJmb46LHG6CmtXdS7ucLmJQ3dEW9ccRoDBWqNe40HQzLbKWoz76G9NadJHdXxP2MyxbPJS/Nzc9fjP8VrWLiJBgvEHtO17D9ZBUfuHhpbEsAgYLKx+l1FNDhXjbo+HYztNHrZPUvRkQC7Ngk9TOequ8kENRxD7wMtNTw04HBST38pWH12ddhKhtFFb+J+/4Ww+D9Fy/ltUOnOFLdMJGiigmQYLxA/PLlHSTZrLxn9aKYrkvuriC9dSf1OdcxdNh5R9BBNkFyYtytezx5GU5sVmPSJnpPxsBLRKSfcac5fPdvnz2D+uyrya96Epu3Je5n3HrREuxWC794Kb5XtIqJk2C8ALR1e3jknX3csHIh7qTxt/MfqKDqCTQG9dnXDjru1bBX21lmxL5b93gshqIoyzVpU3aO1nSQ5rSR7op+R53RpChNEYER+xkBqvPfj8X0Unjmobifke5K5trl8/ndlj109PbFfR8RPwnGC8Bvt+zG4wtw27pl4588gDL95Fc9RUv6xfjsg9dU7zXteFGUTdJo9FDFOW7K67sIBCdeGz0antgdaxfCaJYafg5rG916+P16k4toTl9P4ZnfYwTi7yP94CVl9Hj9/PaN3RMpqoiTBON5zjRNfvnyDlYW57EwPyumazMb38Dua6Yu5/phn71lJpGEOaHddMYyN9eFL2ByprF7Qvfp7PVR3dJLSW7K+CdHaWl4eeCeUWqNlQW3YfN3UFD1RNzPWDInh5XFefxw05v0eqduGzYxsqiCUSl1s1LquFKqXCn19RE+V0qp/wp/fkAptXbAZ2eUUgeVUvuUUjJzdZq9uP8k5fUtfCDG2iJAQeUf8doyaU1fO+h4QMObpoPlyo9tkpvREZM1AHOgsh2A0vzJC8Z5KkAS5oirYAA6U5bS4V5C0elfT2j99Gevu4Tati7+88/vxH0PEZ9xg1EpZQF+AdwClAF3KaWGToS7BVgU/uce4L+HfH6t1nqN1nodYtporfne06+Tl+bmmrL5MV1r99ST1biF+uyrB73XBWCPttONwRpj6moy2alJuBxWDoWDLV57K1qwWY1JGZGOsChYpALsMB2MttdFZcHtJHtqyKnbHPdzVpXkc+XSEv79uS00tMe/okbELpoa43qgXGt9WmvtAx4Dbhtyzm3A73XIdiBdKVUwyWUVMXrr6Bm2nqjkzstWYbXE1muSX/0UCjM0Gj3E68FQM3rpFDWjIfQ+lEWFaew81TyhnXb2VLRSmpcS888/npWGjyYs7B9hj0aAlvR1dCfPZd7xn6LM+P+AfO769fT5Anz7ydfivoeIXTS/LYVA1YDvq8PHoj1HAy8rpXYrpe6Jt6Aidt975nUy3cm8d83imK5TwdCoamvqKjxJgyeD+zW8bTpYofxYp6gZHbG0OJ3Wbh+nGuKrLbV2eznT2M2iwrRJLhmsVj6SMXk+mDzyCcrgdPHHcfaeZc7ZR+N+TnFWGu+/eCn/89pOmdc4jaIJxpF+/YfN+x/jnMu11msJNbe/oJS6asSHKHWPUmqXUmpXU1NTFMUSY9l1qpqXD5TzkQ0rcNiGT0YeS37Nszi8TVQV3D7ssz3m1DejI5YWhd51/e7J5riu33emFYBFc1InrUwRdgUXGz7eNJPoGGF0GqA1bS1tKSsoOfF/J7S5xCeuuogkm43//fCLcd9DxCaaYKwGigd8XwTURnuO1jry70bgGUJN82G01g9orddprdfl5MT21jox3Pef3UJKkj32QRcdpPjUA3Q559OWumrYx2+YSSRjTni37mikuewUZjl5tzy+YNxb0UqS3UJR9uT1Lw600fDiR/HKqLVGxam5n8Dub2Puqf8X93PSXcncfcVqnt9znFcOnIz7PiJ60QTjTmCRUqpUKWUHPgpsGnLOJuAT4dHpS4EOrXWdUsqllEoBUEq5gJuAQ5NYfjGCI9UNPP3uYW6/ZDkuR2yTmrPrX8XZc4bKgtuHrXSJNKOXT0MzOmJJUTqHqtrp6Yt9dHdvRSsL8lOxTGDjiLHMUUFKVIA/BZNHHYTpdi2gIesqik4/iMMztD4RvQ9vWE5RZiqf//Um+nxT/0fpQjduMGqtA8AXgZeAo8DjWuvDSql7lVL3hk/bDJwGyoH/AT4fPp4HvK2U2g+8C/xZay3tgSn2/We3kGy38uENy2O7UGvmnrofjyOf5sxLh328exqb0RHLitMJmpq9FbEtsWvs8FDT2jsl/YsDbTT6qMTKoVEGYQBOF92F0ialx38S93PsViv33XIZ5fUt/OC5N+O+j4hOVEN1WuvNWuvFWusFWuvvhY/dr7W+P/y11lp/Ifz5Sq31rvDx01rr1eF/lkeuFVPncFUDj7y9nw9cvIw0Z2x7Lqa37CC1/QBVBR8YNkUHprcZHTEvL4Ukm4UdMTan91ZMXf/iQGuUj6SxBmEAryOX6vxbya9+hrTW+KfyXrKgiGuXz+f7z75BeX38a7HF+GTly3nmn/74Msl2G3ddvnr8k4coPvX/8NnSqc++ZthnHq14a5pGoweyWgwWFabybnls03b2VrTiTrKSnxn/xrTRcChYa/h4w0yia5RBGIAzc+6gz57D4gPfnND0nc/ftAGrxeALv35uSl4YJkIkGM8jO05W8ezOo/zVxpUx1xZT2/aQ1fQm1Xm3YhrDN5p40UyiF4PLjMl9SVU0lhZn0NjRR2VzdO9C0Vqzp6KVBXPSMCZ7h4sRbDS8+FC8FBz9f3PTksTJks/i6i6n+NT/xP2s7BQXf3PNxbx8oJwnth+M+z5ibBKM5wmtNd949CUyXEnccemKWC9m/tEf4rOlU5333mEfmxqeDjiZqwKUqOl/73H/tJ0om9O1rb00dfZNeTM6okgFKVV+/hh04RujEteSsY7GjI3MO/lzknvOxP282y8pY1F+Fl/53WZ6+mQd9VSQYDxPvHqwnNcPn+buK9aQbB99IGAkmU1bSG/dyZk5dwx6A2DEu6adaqxcbfRN+hZjUZUvxUFeejI7opzPuKe/f3FqB14Geo/hoRkLL5ij9zUClJd8GlNZWXTwW4w6lD0Oi2HwpZs3UtPWyY/+JAMxU0GC8TygteYbj7xEfrqb918c67xFk/nHfoTHkT/iLjoATwadpGGyepJfYRCLZcXp7D/bSq93/BrrjpPNpLns5KTF1p0wEYtVgFLl5w+BsWuNPnsmp4vuJrP5HQqqHo/7eSvn5nPt8vn8cNObVDVPbD25GE6C8Tzw2NYD7K6o5ZNXr8VuHT6aPJbcmj/h7jxGRdFH0cbwmmaFaWG3dnC50YdlBmqLEWsWZBEIap7bWTnmeVXNPWw93si6RdmTtv9iNJSKvtZYm3sTbakrWXj4uxN6P8w9119C0NR849GX476HGJkE4yzX2t3Ll3/7PEvnZHPjyoUxXatMH6XHf0KXs5TGzMtHPOfpoBMbmo0zMOgyUEluCsuK03nk7Qq6+0afLvToOxWh92avjO2FX5Mh2lojyuDY/C9hYrBs31dQZnzTn/LTU/irS1fy8Nv72H5i7D8YIjYSjLPc1x56gZbuXr76viuxGLH95yw88xDJnmoqiu4GNfzaDq142UzmYuXFrWZ+asgtlxTT3RfgiW1nR/y8scPDK/tr2bA0l5Tk2PpZJ0MstUavPYsT8/6W1PYDlJz8RdzP/NgVq8lyO/ny756X6TuTSIJxFvvLoVP85o3d3LlxVcy7c9v7Gph3/Ke0pK2lNW3NiOf8KejEh+Iqy8zWFiOKs92sKs3kiW1n6OgZ3t/5+NYzaODaVdNfW4wYWGv0jpNTTVmXU591DSUnf0Fqa3yvMEi22/jsdevYUV7Nw2/vi+seYjgJxlnK4/NzzwPPUJSZyieuuijm6xcc+TcM08/Jks8MWxMN0KsVjwedlCkfBSo4GUWeFLesK6bPF+TRdwb3zbX3+Hh+TzVrF2aTmRLbC78mk1Lw3nCt8bGga9zzT877DH2OHJbt/UrcO/DctHoRS+fk8L/+8CJdnsT4IzbbSTDOUt958jVONbTyD7deEfO2YunNW8mrfZ7Kgg/Sl5Q/4jnPBpPpwuA9hmcyijtp8jOcrF2YzbPvVtLSdS4Ent5xFp/f5PrVM1dbjFhoBLhIeXk46KJGjz0YFrQ4OTr/PpI8tSw6/C9xPc9Qivtu2Uh9exfffeovcd1DDCbBOAu9fugUP9r0FresWcza0tiCQJk+Fh36Nh5HPpVzhu+3CKHlf38MulimfMw1Eqe2GHHzumICpuZLD+7g63/YzQ+ePcjTOypZOS+TvIypXQIYrQ9YejGA/+tPGXe6YmfKUs7O+RD51U+TU/vnuJ63rDCXW9Ys5j83v8Oxmsa47iHOkWCcZerbu7jrv/5IcVYaX7p5Y8zXF53+Da7uU5ws+fSIS/8gVFvsTMDaYkR2ahJ/ddV80t0Oats9bD/ZDApuWls000Xrl6407zE87NAO3jHHb9qfnXMHna5FLD7wT3FvT/a56y8hyWblvt/IQMxExdYGEzMqaJrc9bPHaO/t478/84GYV7i42w9SevwnNGVsoDX94hHP8Wj4Y9DFUuWjJAFrixHrF+eyfnHuTBdjTFcZfew07fw8kMI6w0vSGNMqtWHl6IK/Z92hr7Fs71fZt/EPMMIOR2PJcCXzqavX8vOXtvPsziN8cH2M286JflJjnEW+/cRrvHGkgi+/9zJKczNjutbi72L5nvvw2dI5Pu/vRj1vU9BJBwbvMfomWtwLnkXBhyy9NGDhoeD4u4h7kgo4WfIZ0lvfZd6Jn8X1zNsvKWN+bgb/8Ls/45ENbeMmwThLvLjvBN975nXee9Fibl4d28ut0JrFB/+ZpN5qji74MgHbyO9Y7taKx4JOFis/84zp3yzifLTQCLBeeXks6OSYOX4DrT7nOuqyr2PeyV+Q2bgl5ueF1lFfxtnmdv792divFyESjLNARWMrH/uvx5ifm8l9N18W8/X5VU+QV/snzhTeSUfK6GupHwi46cDgVqN3IsUVQ9xu6SUVzff9aWOviAk7WfJZupNLWLb3K3H1N66ZV8B1Kxbwg+e2cEo2tI2LBGOC8/j8fPg/HsYfNPnOHTfEPDUntXU3iw59h7bUlZyd88FRz9tn2viT6eRqoy8hR6Jns2SludPSQyVWHoyiSW1aHBxe+DWU6aVs95fi2tj2725cj8Uw+PLvno+nyBc8CcYEprXm8796jr1n6vj/br+GwszY9hd0dR5n5bufxWvL4MiCL4/ame/V8CN/KlkEuSVBR6Jnu6WGn0tVH48HnRwyxx808yTP4XjpF0hr38eiQ9+OeYuy7BQXn7jqIp7fc5zndx+Ls9QXLgnGBPbAq+/y2y17+MRVF7Fx8dyYrk3qrWLVjk9iKisHln4Lvy191HN/G3RTi5U7LT3YZ3AHnfPdbZZeMjD5vj+VvihyrilzI2fnfJg5lX+kqOLBmJ/3oQ3LKclO5+9/+yd5s2CMJBgT1LYTldz32+dZv7Ao5iV/Nm8zq7Z/EiPg4cCSf6bPMfq0luOmlceDTjaoPhbJgMuUSlLwUUsPtVj5n+DIA2BDVRR+lMaMjSw48n2y6l+N6Xk2i4Uv3byR041tfPvJ1+Ip8gVLgjEB1bZ28qH/eJjsFBff/OA1Me2aY+9rYs22j+Hoq+fg4m/Q4xy9ptmuFd/2p+FG8wGLNKGnwyIjwBVGH08HneyLokkd2aKsy7WAsr1fxt1xJKbnXTy/kFvXLuEHz73Jn/dIkzpaEowJxusP8OGfPExHr4fv/tUNpCZHvwu1va+R1ds+RlJvNQcWf5POlKWjnuvT8E/+dFqw8GlLF84E2FbsQvE+o5ccgvzAn4pnjDcLRpgWB4cWfR2/xcWqHZ/C2XUypufdd/NGFuVn8dc/f5yzTW3xFvuCIsGYQLTWfOHXm9h+sor/fdvVzM+LfhK3va+RNds+RpKnlgNL/omO1NFXPWgNPwikcljb+ZilO6FXuJyPHOEmdQMW7g+MP0oN4LNnsH/Jt9DaZM22u2MKR7vVyv/5yPX4AiZ3/Oej+ALSZTIeCcYE8vMXt/Hr13fx8SvWcPWy0qivc/TWsGbrXdg99aFQTCkb8/zfB138xUzmVqOXNYZ0ys+E+UaAq40+NplOdpn2qK7xJBeyb+l3wuH48ZjCsTAzlX/8wJXsPFXNV3+/Od5iXzAkGBPEo+/s5+9/9zyXLynhU9esjfq65O7TXLT1TmzeJg4s+ecxJ3ADbA4m8dugm/XKy/Wy7G9G3WJ4yCPIv/jTKI9iVQyEwnH/0m+jdZA12+7G1Xk06uddtayUOy5dwc9f2s43H3tZNpoYgwRjAnhh73E+8YsnWDU3n3/+0LVRD7a4Ow5z0dY7MYIe9i37FzpTlox5/ltBB/8RSGWp8nGHpWdGXoUqzrEr+Ky1Cyuar/ozOBVlOPYmF7Fv6XcwUVy09S7SWnZG/cy/vWE971u7lH975g2++OAmTNOMt/jnNQnGGfbOsbN8+CcPU5qTwb/eeVPUK1uy6l9hzbaPYWKwd+l36XHOG/P8vaaNfwmkUayCfMrSjVVCMSFkK5PPW7swgK/6M6gwo9tRx5NcyN5l/4rPmsqqHZ8kqyG6DWothsFXbr2cOzeu5Jcv7+CTv3ySQFD6mIeSYJxBz+48wq0/+C3ZKS5+cPfNuJPG72tSpo8Fh/+VlbvuxWPPY++yf8WTPPZmtcdNK9/0p5NDkM9ZunBIKCaUUDh2AvAP/kwORzONB/A6cti77Lv0JhWxYte9zDnzcFQrZJRS/O0N6/nMtev4w1v7+MhPHpEJ4ENIMM6ALo+XT//3U3zwx38gN9XND+++mQzX2G+VA3B2neSid+6kuOI3VOe9lz1l38PryBnzmleCSfy9P5NkNPdYu3DJtJyElBMORwua+/wZPBpwYkbxn8pvS2Pfsu/QmrqaxYe+xdJ9X8MIjL8JiFKKj1+5hvtu3shzu47yvh/8nu4+eV9MhErEDth169bpXbt2zXQxJp3WmlcPlnPPA89S2dzOXZev4pNXr8VmGbv55O44wtzyX5JT9yJBi5NjpZ+nOfPSMa/xafh5IIU/mU4WKD+fsHSTKqGY8CKvldiv7VyivHzD1kFGNP/dtElJ7VPMq/kjve6FHF73C3rdC6J65kv7T/LDTW+yfmERm7/+KTLc4/+Rnq2UUru11uvGPU+CceqZpslzu47y/We3sPNUNXMyUvnG7Vezojhv9It0kMzGNyk88weymt4gYHFSk3cL1Xnvw28bezOJctPKjwKpnNA2rjM8vNfwYJHm86yhNWw1HTxrOklCc4ellw9ZeqN6t3dGxz7KTv0Mi9lH5YLPUbnw7zAt4wfdW8fO8N2n/sKywlye/urdLIjxdbyzhQTjDNNac6S6kWfePcwf3trH8bpm5mSkcudlK7l59SLs1pEHWRyeWvJqNlFw9hGSPTX4bOnU5L6HmrxbCVjHfh1nkzZ4MODmJTMJJ6GtrlbKPMVZq05b+HMwmcPajhuTj1h6eb/FQ6YaeyTZ7mtlQdVD5LW8SV9SAafKvkFTwS2gxu4523mqmn8Jv2Xwp598H5++9mLUeXEIWhMAAApOSURBVDZ1QYJxBjR39vD28bO8ebSCP+0+Rnl4k9DlRbl8aP1yri4rHT4VR2uSeqvIanyd3NrnSWvbA0Bbygpqc2+iOWM92hi7M747/A7ox4MugsCVRh83Gn0kS9P5vFClLbwcTOaQtmOguUj5uMHSxxWGd8xaZFrXERad+TVuzxk8yUXUzrub+uKP4LePvqKqsaObf39uC3vP1HHbumU8cM8HyU2LbnXObCDBOA3q2jrZcqSCLUcr2HKkgqM1TQDYrRZWzc3niqUlXL6khOyUczU9Zfpxdx4ltW0vaW27SWvZicMbet1ld3IJjVmX05R5GZ6kgnGf79HwdNDJY0EX3RisUV5utXjIHqdGIWanBm2w23Swx7TTggULmpXKz3rDywbDR6kKDJubqnSQ7NbtFDa+RHrXYUzDTnPeDTTOuZXW3GswLcPX4pta89SOQ/zqL7twWC3cd8tlfOV9V5DpToxX006EBOMk6/P5OVjZwI7yKnaUV7H9RCXlDa0AuBw2VhTnsXJuPqvm5rNkTg52qwUj6MHVdRJ351FcnUdJ6TiCu+MQFjM0+ue1Z9HuXkZHyjLaU1fQmxzd6z/btOL5oJOng8m0Y6FM+bjZ4qFYyXy0C4HWcFZbOKjtHDNt1IZf9plNkA2Gl/WGj7WGb1ht0tlbyZzGl8lt24bd307A4qQ19xraszfSlnUpHlcpA5O1srmdB9/YzZYjFaQmO7jvlsv41NVrZ3X/46QGo1LqZuBngAX4ldb634d8rsKfvxfoBT6ltd4TzbUjmclg7Ozt43htM8dqmzha08iR6kYOVzdyuqEVM/y/VZbbydLCHFYW57G6pIBFuW5SPWdxdZ3A1XUSZ9dJXF0nSO6tRBG6Jmgk0e0sodO1iE73Yjrdi/Dac4h2+YlPwzFtY3MwmdfMJAIoliofNxl9lMo+ihe0dq04pm0cNe2c0Fb6MLDw/7d3b7FxVHccx7+/szN7c2yTxLHjXAhuiIrSiAS1QGn7QKVCKA8FKiHBS1FbiVaCvoP6UCQeWlWqqqpqS6mEmpeCeEGNGlQKSChSUVXaKAo4aYihAWyHpCTxfS/enX8fZgzLxo43xOu11+cjHc1lZ+xzdGb/O2fmnBnjRpW5zZX5SqrE1pofTVmV7olBei/8nY1jR8jMxj/wpUwPU127me78PNNdNzDdeT0zHZ9j6HyRA4ePcPjEaSC+NHTvzbu588Zd7Lm2b1WdSS5ZYJSUAt4G7gCGgTeAB83seM02dwM/Ig6MtwK/MrNbG9l3PksRGKMoYrJY5uJUgbGZAuMzRcami4zP1KRCibHpAqMXJxm+MM7I+XHOT33yXMLAObZt7GLHxi52rg+5oavMF7vGGdAIucIw2cII2cIImeJZZPGBZzhmsluYzm1nOn9tMr2OQqZv0YvfcyZNvG8BH1iKdyxgMAo5ZSEVRAbjZlfia65In28ye3WqBqct4LiFnIhCziRnk5upsNfNsteV2aNZtqga91QwI1c6wzUTg3RPnmBd4T3yhWGcffJjW8z2M7NuJ28zwKHzW3hpNMeRD0tUk9DR272OPdt62dXfw86+Dezs28BA7wb613eyqavjip4n2mxLGRhvA54ws/3J8uMAZvbTmm1+D7xmZs8myyeB24HrFtt3PntvuskOvfIalWrEZLH0qWA2Nl3k4nSBsZkiEzNFJoslJgtlJgpFxmaKjE8XmSgUGZ8pfXyGB4ATZNKQCeMUhgTZkGwuJJ8LyGdELgO50OgMK6wLyuRcicgqzBoUXZqi0pQVMquAsstQdun4PSpKYQpxLiBQQFrxONg8RgcRHTJyGBmMjIyQOPhdwHHRHGPmmMQxaWISx1RNv/sA41pV2KEKA6pwvSr+porXsI/McTwKGbKQdy1gOjm2AozNVNnmqvRTZZOq9Cpik6pcY7P0ls/QX3iPrsIw+eIIueIIudL/CCsTzJJiJOrmH8XtvFnZzmB1K6cqGxkudzARBeBc/H2TkBPd2RTduYDubEBXNkVXJiCfTpEPU+TTAbkwTvkwTS6dpiOdJp8OWZcOyYchWZcim3JkXYp86OhIBQRBgFOKIAghFRC5FBWXYhZRMqMYRZSjiHJklM2YjSKqBndsWt9QYGxkYO5W4IOa5WHis8LFttna4L6XODY1w/bXjy68QeigO4+64/5Zgo+brFI8nwKcHCZhckTznK1VgKkkAWSjEjkrk7EKAREpjAAIgUAi5QKcC8GlyUjM9Q6zJFWBWWDaxEWDInGH3UIEZS5tMmcwup3R6aBDxkZBhyJ6XJV+Z2xxxiZnSR9EJTlpbLiY5wH0APHjiiMiKzMaiXeqjg8jcbYqRqOQY1Gamfrj0/VBxz7SHZZ8v2KzQHWeY3khBowlaVFVoJAkZpO00LbV+I/PBeEl1khgnO+/1p+yLLRNI/vGf0B6GHg4WZziW7efXCxjVjdtUA/w0XwfFJO0XErAuSQ1wYLlbDO+nE105S9uvWrNLueORjZqJDAOA9trlrcB9W8BX2ibdAP7AmBmTwNPN5CfqyLpX42cSq92vpztxZdzeTVyVfQNYJekAUlp4AHgYN02B4HvKPZlYNzMzjS4r+d53oqy6BmjmVUkPQq8RNzl5hkzG5T0w+Tzp4AXie9IDxF31/nu5fZtSkk8z/OWSENPRTWzF4mDX+26p2rmDXik0X1brOnN9RXCl7O9+HIuoxU58sXzPK+VVk7PS8/zvBViTQRGSfdLGpQUSfpS3WePSxqSdFLS/lblsRkkPSFpRNLRJN3d6jwtJUl3JfU2JOmxVuenWSSdlvRmUocr6yECV0HSM5LOSXqrZt0GSS9LOpVM17cib2siMAJvAd8GDteulLSb+E75F4C7gN8mwxjbyS/NbF+SVtK13quS1NNvgG8Cu4EHk/psV19P6rDlXVmW0B+Jv3e1HgNeNbNdwKvJ8rJbE4HRzE6Y2Xwdxu8BnjOzkpn9l/iu+i3LmzvvM7oFGDKzd82sDDxHXJ/eKmFmh4ELdavvAQ4k8weAe5c1U4k1ERgvY6GhjO3kUUnHkmZLS5olTbIW6m6OAX+T9O9khFg760v6QJNMe1uRicZeYrwKSHoF2DzPRz82sz8vtNs861bVbfrLlRv4HfAkcZmeBH4BfG/5ctdUq77ursBXzWxUUi/wsqT/JGdbXpO0TWA0s298ht0aGe64ojVabkl/AP7S5Owsp1Vfd40ys9Fkek7SC8SXEdo1MJ6V1G9mZyT107RHCVzeWm9KHwQekJSRNADsAv7Z4jwtmeTAmnMf8U2odrEmhptK6pDUOTcP3El71WO9g8BDyfxDwEKtvaZqmzPGy5F0H/BrYBNwSNJRM9ufDG18HjhO/BSyR8ysnd4P8HNJ+4ibmKeBH7Q2O0tnDQ037QNeSN7WFwB/MrO/tjZLS0PSs8TPbe2RNAz8BPgZ8Lyk7wPvA/e3JG9+5Ivned6nrfWmtOd53iV8YPQ8z6vjA6PneV4dHxg9z/Pq+MDoeZ5XxwdGz/O8Oj4wep7n1fGB0fM8r87/Ab6m77ZQXoHQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def plot_traits(ax='', speciation_prob='hi'):\n",
    "    if not ax:\n",
    "        fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n",
    "\n",
    "    for m in models:\n",
    "        simdir = analysis_dir + \"{}_MESS\".format(m)\n",
    "\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog*\".format(simdir, speciation_prob))\n",
    "        log_dat = [pd.read_csv(x).sort_values(by=[\"abundance\"], ascending=False) for x in logs]\n",
    "        log_df = pd.concat(map(pd.Series, [x[\"trait\"].values for x in log_dat]), axis=1)\n",
    "\n",
    "        minspecies = 5\n",
    "        maxspecies = 50\n",
    "        mask = (log_df.notna().sum() >= minspecies) & (log_df.notna().sum() <= maxspecies)\n",
    "        log_df = log_df.loc[:, mask]\n",
    "\n",
    "\n",
    "        diff_df = log_df - log_df.mean()\n",
    "\n",
    "        try:\n",
    "            sns.kdeplot(diff_df.dropna().values.flatten(), ax=ax,\n",
    "                        shade=True, color=MESS.plotting.model_colors[m],\n",
    "                        label=m, bw=1.5, kernel=\"epa\", legend=False)\n",
    "        except Exception as inst:\n",
    "            print(log_df)\n",
    "            pass\n",
    "    ax.set_ylim(0, 0.30)\n",
    "    ax.set_xlim(-12, 12)\n",
    "plot_traits(speciation_prob=\"no\")\n",
    "plot_traits(speciation_prob=\"lo\")\n",
    "plot_traits(speciation_prob=\"hi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "funcs = {\"Richness\":plot_richness,\n",
    "         \"Rank Abundance\":plot_abundance,\n",
    "         u\"Rank π\":plot_pi,\n",
    "         \"Trait Values\":plot_traits}\n",
    "sp_title_dict = {\"no\":\"No\", \"lo\":\"Low\", \"hi\":\"High\"}\n",
    "\n",
    "fig, axs = plt.subplots(3, 4, figsize=(25, 15))\n",
    "for i, sp in enumerate([\"no\", \"lo\", \"hi\"]):\n",
    "    for j, f in enumerate([\"Richness\", \"Rank Abundance\", u\"Rank π\", \"Trait Values\"]):\n",
    "        #if i == 0 and j == 0:\n",
    "        #        funcs[f](ax=axs[i][j], speciation_prob=sp, legend=True)\n",
    "        funcs[f](ax=axs[i][j], speciation_prob=sp)\n",
    "\n",
    "        ## Labeling and cleaning up the plots\n",
    "        if i % 4 == 0:\n",
    "            axs[i][j].set_title(f, fontsize=30)\n",
    "        if j % 4 == 0:\n",
    "            axs[i][j].set_ylabel(\"{} Speciation\\n\\nDensity\".format(sp_title_dict[sp]), fontsize=30)\n",
    "        if j % 4 == 1:\n",
    "            axs[i][j].set_ylabel(\"ln(Abundance)\", fontsize=30)\n",
    "        if j % 4 == 2:\n",
    "            axs[i][j].set_ylabel(u\"π\", fontsize=30)\n",
    "        if j % 4 == 3:\n",
    "            axs[i][j].set_ylabel(\"Density\", fontsize=30)\n",
    "        ## Cast xtick labelsto int\n",
    "        axs[i][j].xaxis.set_major_locator(MaxNLocator(integer=True))\n",
    "        \n",
    "## Make axis ticklabels easier to read\n",
    "axs = axs.flatten()\n",
    "_ = [plt.setp(ax.get_xticklabels(), fontsize=20) for ax in axs.flatten()]\n",
    "_ = [plt.setp(ax.get_yticklabels(), fontsize=20) for ax in axs.flatten()]\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/isaac/Continuosity/MESS/analysis/figure2-sims/generations_100/filtering_MESS/no-figure2-740021796/island1-0.2156-megalog.txt\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>trait</th>\n",
       "      <th>abundance</th>\n",
       "      <th>Ne_local</th>\n",
       "      <th>Ne_meta</th>\n",
       "      <th>tdiv</th>\n",
       "      <th>growth_rate</th>\n",
       "      <th>migration_rate</th>\n",
       "      <th>segsites_tot</th>\n",
       "      <th>pi_tot</th>\n",
       "      <th>segsites_local</th>\n",
       "      <th>segsites_meta</th>\n",
       "      <th>pi_local</th>\n",
       "      <th>pi_meta</th>\n",
       "      <th>dxy</th>\n",
       "      <th>da</th>\n",
       "      <th>TajimaD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>t59</td>\n",
       "      <td>-0.856736</td>\n",
       "      <td>2</td>\n",
       "      <td>2.666667e+03</td>\n",
       "      <td>20376</td>\n",
       "      <td>2662</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4</td>\n",
       "      <td>0.001413</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001676</td>\n",
       "      <td>0.001930</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t9</td>\n",
       "      <td>-5.607434</td>\n",
       "      <td>4</td>\n",
       "      <td>3.200000e+03</td>\n",
       "      <td>32317</td>\n",
       "      <td>3406</td>\n",
       "      <td>0</td>\n",
       "      <td>9.174985e-08</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000471</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000819</td>\n",
       "      <td>0.000526</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>t67</td>\n",
       "      <td>-1.215725</td>\n",
       "      <td>17</td>\n",
       "      <td>1.123477e+04</td>\n",
       "      <td>72406</td>\n",
       "      <td>142283</td>\n",
       "      <td>0</td>\n",
       "      <td>4.253945e-08</td>\n",
       "      <td>37</td>\n",
       "      <td>0.025088</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>0.001326</td>\n",
       "      <td>0.012982</td>\n",
       "      <td>0.041228</td>\n",
       "      <td>0.034074</td>\n",
       "      <td>-0.911619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>t44</td>\n",
       "      <td>-4.464337</td>\n",
       "      <td>1</td>\n",
       "      <td>2.000000e+03</td>\n",
       "      <td>11805</td>\n",
       "      <td>2079</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2</td>\n",
       "      <td>0.001173</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001442</td>\n",
       "      <td>0.001579</td>\n",
       "      <td>0.000858</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>t14</td>\n",
       "      <td>-0.051744</td>\n",
       "      <td>2449</td>\n",
       "      <td>4.937663e+06</td>\n",
       "      <td>161169</td>\n",
       "      <td>625000</td>\n",
       "      <td>0</td>\n",
       "      <td>2.112740e-10</td>\n",
       "      <td>100</td>\n",
       "      <td>0.026103</td>\n",
       "      <td>79</td>\n",
       "      <td>12</td>\n",
       "      <td>0.029630</td>\n",
       "      <td>0.005341</td>\n",
       "      <td>0.033860</td>\n",
       "      <td>0.016374</td>\n",
       "      <td>-1.782421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>t21</td>\n",
       "      <td>-3.886592</td>\n",
       "      <td>3</td>\n",
       "      <td>3.913043e+03</td>\n",
       "      <td>46226</td>\n",
       "      <td>20650</td>\n",
       "      <td>0</td>\n",
       "      <td>8.662900e-08</td>\n",
       "      <td>5</td>\n",
       "      <td>0.003536</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000351</td>\n",
       "      <td>0.003275</td>\n",
       "      <td>0.005088</td>\n",
       "      <td>0.003275</td>\n",
       "      <td>-1.024317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>t16</td>\n",
       "      <td>-2.505848</td>\n",
       "      <td>3</td>\n",
       "      <td>3.000000e+03</td>\n",
       "      <td>17680</td>\n",
       "      <td>1361</td>\n",
       "      <td>0</td>\n",
       "      <td>2.449180e-07</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000351</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000702</td>\n",
       "      <td>0.000351</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>t74</td>\n",
       "      <td>1.653289</td>\n",
       "      <td>5</td>\n",
       "      <td>3.333333e+03</td>\n",
       "      <td>98307</td>\n",
       "      <td>10475</td>\n",
       "      <td>0</td>\n",
       "      <td>1.431981e-07</td>\n",
       "      <td>13</td>\n",
       "      <td>0.005928</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>0.001559</td>\n",
       "      <td>0.007875</td>\n",
       "      <td>0.007018</td>\n",
       "      <td>0.002300</td>\n",
       "      <td>0.940321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>t94</td>\n",
       "      <td>-6.209826</td>\n",
       "      <td>12</td>\n",
       "      <td>7.565789e+03</td>\n",
       "      <td>13466</td>\n",
       "      <td>39712</td>\n",
       "      <td>0</td>\n",
       "      <td>2.329818e-08</td>\n",
       "      <td>2</td>\n",
       "      <td>0.001062</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000624</td>\n",
       "      <td>0.000351</td>\n",
       "      <td>0.001579</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>0.102408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>t22</td>\n",
       "      <td>0.627895</td>\n",
       "      <td>1</td>\n",
       "      <td>6.131169e+03</td>\n",
       "      <td>9133</td>\n",
       "      <td>93831</td>\n",
       "      <td>0</td>\n",
       "      <td>1.216770e-08</td>\n",
       "      <td>10</td>\n",
       "      <td>0.005614</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.001793</td>\n",
       "      <td>0.001637</td>\n",
       "      <td>0.009123</td>\n",
       "      <td>0.007407</td>\n",
       "      <td>-0.006885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>t91</td>\n",
       "      <td>1.920177</td>\n",
       "      <td>1</td>\n",
       "      <td>3.906977e+03</td>\n",
       "      <td>23600</td>\n",
       "      <td>46237</td>\n",
       "      <td>0</td>\n",
       "      <td>5.535662e-08</td>\n",
       "      <td>3</td>\n",
       "      <td>0.002096</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000819</td>\n",
       "      <td>0.000624</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>0.002612</td>\n",
       "      <td>0.907211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>t26</td>\n",
       "      <td>-1.916172</td>\n",
       "      <td>2</td>\n",
       "      <td>2.666667e+03</td>\n",
       "      <td>15404</td>\n",
       "      <td>2875</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   name     trait  abundance      Ne_local  Ne_meta    tdiv  growth_rate  \\\n",
       "0   t59 -0.856736          2  2.666667e+03    20376    2662            0   \n",
       "1    t9 -5.607434          4  3.200000e+03    32317    3406            0   \n",
       "2   t67 -1.215725         17  1.123477e+04    72406  142283            0   \n",
       "3   t44 -4.464337          1  2.000000e+03    11805    2079            0   \n",
       "4   t14 -0.051744       2449  4.937663e+06   161169  625000            0   \n",
       "5   t21 -3.886592          3  3.913043e+03    46226   20650            0   \n",
       "6   t16 -2.505848          3  3.000000e+03    17680    1361            0   \n",
       "7   t74  1.653289          5  3.333333e+03    98307   10475            0   \n",
       "8   t94 -6.209826         12  7.565789e+03    13466   39712            0   \n",
       "9   t22  0.627895          1  6.131169e+03     9133   93831            0   \n",
       "10  t91  1.920177          1  3.906977e+03    23600   46237            0   \n",
       "11  t26 -1.916172          2  2.666667e+03    15404    2875            0   \n",
       "\n",
       "    migration_rate  segsites_tot    pi_tot  segsites_local  segsites_meta  \\\n",
       "0     0.000000e+00             4  0.001413               0              4   \n",
       "1     9.174985e-08             1  0.000471               0              1   \n",
       "2     4.253945e-08            37  0.025088               3             31   \n",
       "3     0.000000e+00             2  0.001173               0              2   \n",
       "4     2.112740e-10           100  0.026103              79             12   \n",
       "5     8.662900e-08             5  0.003536               1              4   \n",
       "6     2.449180e-07             2  0.000351               0              2   \n",
       "7     1.431981e-07            13  0.005928               2             11   \n",
       "8     2.329818e-08             2  0.001062               1              1   \n",
       "9     1.216770e-08            10  0.005614               3              3   \n",
       "10    5.535662e-08             3  0.002096               1              1   \n",
       "11    0.000000e+00             0  0.000000               0              0   \n",
       "\n",
       "    pi_local   pi_meta       dxy        da   TajimaD  \n",
       "0   0.000000  0.001676  0.001930  0.001092  0.000000  \n",
       "1   0.000000  0.000819  0.000526  0.000117  0.000000  \n",
       "2   0.001326  0.012982  0.041228  0.034074 -0.911619  \n",
       "3   0.000000  0.001442  0.001579  0.000858  0.000000  \n",
       "4   0.029630  0.005341  0.033860  0.016374 -1.782421  \n",
       "5   0.000351  0.003275  0.005088  0.003275 -1.024317  \n",
       "6   0.000000  0.000702  0.000351  0.000000  0.000000  \n",
       "7   0.001559  0.007875  0.007018  0.002300  0.940321  \n",
       "8   0.000624  0.000351  0.001579  0.001092  0.102408  \n",
       "9   0.001793  0.001637  0.009123  0.007407 -0.006885  \n",
       "10  0.000819  0.000624  0.003333  0.002612  0.907211  \n",
       "11  0.000000  0.000000  0.000000  0.000000  0.000000  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zqzsHwkU4/37lkz5KMLPW40C4CG8OPXUgmFnrcSBchKH+JBB8YdnMWpAD4SL0dLazY2uP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\nIJiZGQD/H7IoX+LMJgwUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "simdir = analysis_dir + \"filtering_MESS\"\n",
    "logs = glob.glob(\"{}/no-*/*megalog*\".format(simdir))\n",
    "print(logs[-1])\n",
    "df = pd.read_csv(logs[-1])\n",
    "pis = df[\"pi_local\"]\n",
    "xs = range(0, len(pis))\n",
    "ys = sorted(pis, reverse=True)\n",
    "plt.plot(xs, ys)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 441,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed invariant targets. Retained: ['S']\n",
      "Nsims\n",
      "  neutral\t240\n",
      "  filtering\t240\n",
      "  competition\t160\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x2aab4d0bac90>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 441,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jSR6ZtypYa7cnuWJ6fEWSX89YC6yll8KuycdjrsGWTTdE+lGSx7r7u4d8yFyDBTlSn5lrsFhVdXJVHT89fn2SD2djz/M7k1w6nWambaK6V++q7qq6OMn3kuxKclN3f33mkmDtVNXbs3HVcpLsTvJTvQaLUVU/S3JBkpOSPJ3kK0l+leSWJG9J8vckn+huNyiDQUfoswuy8TLiTvJkkqte2iMWGFNVH0zy+yQPJ3lxWv5yNvaHNddgAY7SZ5fHXIOFqar3ZOMmfruycVHuLd39tSkf2ZPkxCR/SvLp7v7PfJXuPCsZMAMAAAAAML9V3CIDAAAAAIAdQMAMAAAAAMAQATMAAAAAAEMEzAAAAAAADBEwAwAAAAAwRMAMAAAAAMAQATMAAAAAAEP+B6ZVj2mUJkFJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "simfile = analysis_dir + \"SIMOUT.txt\"\n",
    "#simfile = analysis_dir + \"SIMOUT.txt\"\n",
    "sim_df = pd.read_csv(simfile, sep=\"\\t\", header=0)\n",
    "MESS.plotting.plot_simulations_hist(simfile, verbose=True, normalize_hills=False,\\\n",
    "                                        feature_set=[\"S\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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i5OMRazZy8cRhLNqyh9pmJwCTB7a2qdoiylpOJi+X1/JESRUXJlm5NjURXWvX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\ncyzX8VPOVBkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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xoYE8dPFQtuQUkZFT5COLBYLzg8fjYcehUpLCg9GoT9zXendBGW+vTKe2nXl9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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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scJLg1nVL1npH4CvaDEGD4abFXTJFw9tkZHT/KLZ2kHr+dHeMHcSohEhe+2E9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      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_traits_residuals(ax='', sp_prob='hi'):\n",
    "    if not ax:\n",
    "        fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n",
    "    mean_dict = {}\n",
    "    std_dict = {}\n",
    "    for m in models:\n",
    "        simdir = analysis_dir + \"{}_MESS\".format(m)\n",
    "\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog*\".format(simdir, sp_prob))\n",
    "        log_dat = [pd.read_csv(x).sort_values(by=[\"abundance\"], ascending=False) for x in logs]\n",
    "        log_df = pd.concat(map(pd.Series, [x[\"trait\"].values for x in log_dat]), axis=1)\n",
    "        abunds = pd.concat(map(pd.Series, [x[\"abundance\"].values for x in log_dat]), axis=1)\n",
    "        #display(log_df)\n",
    "        minspecies = 8\n",
    "        maxspecies = 20\n",
    "        mask = (log_df.notna().sum() >= minspecies) & (log_df.notna().sum() <= maxspecies)\n",
    "        log_df = log_df.loc[:, mask]\n",
    "        mask = (abunds.notna().sum() >= minspecies) & (abunds.notna().sum() <= maxspecies)\n",
    "        abunds = abunds.loc[:, mask]\n",
    "\n",
    "        col_means = log_df.mean()\n",
    "        col_means_vec = col_means.values.reshape((1, col_means.shape[0]))\n",
    "        log_df = pd.DataFrame(np.abs(log_df.values - col_means_vec))\n",
    "\n",
    "        means = log_df.apply(np.mean, axis=1)\n",
    "        stds = log_df.apply(np.std, axis=1)\n",
    "        mean_dict[m] = means[:24]\n",
    "        std_dict[m] = stds[:24]\n",
    "\n",
    "    for m in [\"filtering\", \"competition\"]:\n",
    "        xs = range(0, len(mean_dict[\"neutral\"]))\n",
    "        means = (mean_dict[m] - mean_dict[\"neutral\"])\n",
    "        stds = (std_dict[m] - std_dict[\"neutral\"])\n",
    "        ax.plot(xs, means, c=MESS.plotting.model_colors[m])\n",
    "        if True:\n",
    "            ax.plot(xs, means + stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "            ax.plot(xs, means - stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "            ax.fill_between(xs, means - stds, means + stds, alpha=0.2, color=MESS.plotting.model_colors[m])\n",
    "    xs = range(0, 20)\n",
    "    ax.plot(xs, [0]*len(xs), color=MESS.plotting.model_colors[\"neutral\"])\n",
    "    ax.plot(xs, 0 + std_dict[\"neutral\"][:20], c=MESS.plotting.model_colors[\"neutral\"], ls='--')\n",
    "    ax.plot(xs, 0 - std_dict[\"neutral\"][:20], c=MESS.plotting.model_colors[\"neutral\"], ls='--')\n",
    "\n",
    "plot_traits_residuals(sp_prob=\"no\")\n",
    "plot_traits_residuals(sp_prob=\"lo\")\n",
    "plot_traits_residuals(sp_prob=\"hi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2.3267701677660693\n"
     ]
    },
    {
     "data": {
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>trait</th>\n",
       "      <th>abundance</th>\n",
       "      <th>Ne_local</th>\n",
       "      <th>Ne_meta</th>\n",
       "      <th>tdiv</th>\n",
       "      <th>growth_rate</th>\n",
       "      <th>migration_rate</th>\n",
       "      <th>segsites_tot</th>\n",
       "      <th>pi_tot</th>\n",
       "      <th>segsites_local</th>\n",
       "      <th>segsites_meta</th>\n",
       "      <th>pi_local</th>\n",
       "      <th>pi_meta</th>\n",
       "      <th>dxy</th>\n",
       "      <th>da</th>\n",
       "      <th>TajimaD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>t18</td>\n",
       "      <td>-4.706123</td>\n",
       "      <td>2269</td>\n",
       "      <td>18240.230656</td>\n",
       "      <td>56880</td>\n",
       "      <td>177512</td>\n",
       "      <td>0</td>\n",
       "      <td>1.976614e-08</td>\n",
       "      <td>19</td>\n",
       "      <td>0.007230</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>0.004483</td>\n",
       "      <td>0.004600</td>\n",
       "      <td>0.009649</td>\n",
       "      <td>0.005107</td>\n",
       "      <td>0.283530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>t16</td>\n",
       "      <td>-2.031607</td>\n",
       "      <td>73</td>\n",
       "      <td>8671.930803</td>\n",
       "      <td>161169</td>\n",
       "      <td>48171</td>\n",
       "      <td>0</td>\n",
       "      <td>1.532070e-07</td>\n",
       "      <td>22</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007914</td>\n",
       "      <td>0.005789</td>\n",
       "      <td>0.001832</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>t30</td>\n",
       "      <td>-4.092946</td>\n",
       "      <td>52</td>\n",
       "      <td>12966.295470</td>\n",
       "      <td>5572</td>\n",
       "      <td>286228</td>\n",
       "      <td>0</td>\n",
       "      <td>2.425015e-09</td>\n",
       "      <td>14</td>\n",
       "      <td>0.007258</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0.002651</td>\n",
       "      <td>0.000702</td>\n",
       "      <td>0.012281</td>\n",
       "      <td>0.010604</td>\n",
       "      <td>-1.048221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t49</td>\n",
       "      <td>2.350804</td>\n",
       "      <td>33</td>\n",
       "      <td>6777.920411</td>\n",
       "      <td>98307</td>\n",
       "      <td>35163</td>\n",
       "      <td>0</td>\n",
       "      <td>1.132873e-07</td>\n",
       "      <td>17</td>\n",
       "      <td>0.010397</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>0.002807</td>\n",
       "      <td>0.005224</td>\n",
       "      <td>0.016140</td>\n",
       "      <td>0.012125</td>\n",
       "      <td>1.953372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>t45</td>\n",
       "      <td>1.415134</td>\n",
       "      <td>20</td>\n",
       "      <td>5581.395349</td>\n",
       "      <td>7115</td>\n",
       "      <td>55695</td>\n",
       "      <td>0</td>\n",
       "      <td>9.650777e-09</td>\n",
       "      <td>5</td>\n",
       "      <td>0.003250</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.001949</td>\n",
       "      <td>0.001637</td>\n",
       "      <td>0.004561</td>\n",
       "      <td>0.002768</td>\n",
       "      <td>1.954422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>t17</td>\n",
       "      <td>-0.872308</td>\n",
       "      <td>12</td>\n",
       "      <td>5023.255814</td>\n",
       "      <td>17680</td>\n",
       "      <td>24256</td>\n",
       "      <td>0</td>\n",
       "      <td>5.745047e-08</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>t77</td>\n",
       "      <td>-3.519546</td>\n",
       "      <td>12</td>\n",
       "      <td>4396.946565</td>\n",
       "      <td>23600</td>\n",
       "      <td>77719</td>\n",
       "      <td>0</td>\n",
       "      <td>3.511582e-08</td>\n",
       "      <td>6</td>\n",
       "      <td>0.003647</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004094</td>\n",
       "      <td>0.005088</td>\n",
       "      <td>0.003041</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>t55</td>\n",
       "      <td>2.320272</td>\n",
       "      <td>5</td>\n",
       "      <td>3333.333333</td>\n",
       "      <td>6293</td>\n",
       "      <td>11027</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000693</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000975</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000877</td>\n",
       "      <td>0.000390</td>\n",
       "      <td>1.551054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>t56</td>\n",
       "      <td>-0.313302</td>\n",
       "      <td>5</td>\n",
       "      <td>3333.333333</td>\n",
       "      <td>72406</td>\n",
       "      <td>9718</td>\n",
       "      <td>0</td>\n",
       "      <td>1.852233e-07</td>\n",
       "      <td>9</td>\n",
       "      <td>0.003019</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005341</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>0.000663</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>t13</td>\n",
       "      <td>0.398912</td>\n",
       "      <td>5</td>\n",
       "      <td>4528.301887</td>\n",
       "      <td>38371</td>\n",
       "      <td>22999</td>\n",
       "      <td>0</td>\n",
       "      <td>3.840747e-08</td>\n",
       "      <td>6</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002963</td>\n",
       "      <td>0.006316</td>\n",
       "      <td>0.004834</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>t9</td>\n",
       "      <td>-0.331706</td>\n",
       "      <td>4</td>\n",
       "      <td>3200.000000</td>\n",
       "      <td>8056</td>\n",
       "      <td>984</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>t94</td>\n",
       "      <td>-2.504790</td>\n",
       "      <td>4</td>\n",
       "      <td>3789.473684</td>\n",
       "      <td>46226</td>\n",
       "      <td>22860</td>\n",
       "      <td>0</td>\n",
       "      <td>3.463109e-08</td>\n",
       "      <td>11</td>\n",
       "      <td>0.003592</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000624</td>\n",
       "      <td>0.005575</td>\n",
       "      <td>0.004035</td>\n",
       "      <td>0.000936</td>\n",
       "      <td>0.102408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>t58</td>\n",
       "      <td>0.888031</td>\n",
       "      <td>3</td>\n",
       "      <td>2571.428571</td>\n",
       "      <td>3069</td>\n",
       "      <td>15058</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000693</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000975</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000877</td>\n",
       "      <td>0.000390</td>\n",
       "      <td>1.551054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>t18:island1-613900</td>\n",
       "      <td>-4.972613</td>\n",
       "      <td>2</td>\n",
       "      <td>18240.230656</td>\n",
       "      <td>0</td>\n",
       "      <td>11100</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>19</td>\n",
       "      <td>0.005873</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>0.000702</td>\n",
       "      <td>0.004600</td>\n",
       "      <td>0.008772</td>\n",
       "      <td>0.006121</td>\n",
       "      <td>-1.290702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>t25</td>\n",
       "      <td>1.286303</td>\n",
       "      <td>1</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>20376</td>\n",
       "      <td>385</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000351</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  name     trait  abundance      Ne_local  Ne_meta    tdiv  \\\n",
       "4                  t18 -4.706123       2269  18240.230656    56880  177512   \n",
       "7                  t16 -2.031607         73   8671.930803   161169   48171   \n",
       "13                 t30 -4.092946         52  12966.295470     5572  286228   \n",
       "1                  t49  2.350804         33   6777.920411    98307   35163   \n",
       "9                  t45  1.415134         20   5581.395349     7115   55695   \n",
       "8                  t17 -0.872308         12   5023.255814    17680   24256   \n",
       "14                 t77 -3.519546         12   4396.946565    23600   77719   \n",
       "5                  t55  2.320272          5   3333.333333     6293   11027   \n",
       "6                  t56 -0.313302          5   3333.333333    72406    9718   \n",
       "10                 t13  0.398912          5   4528.301887    38371   22999   \n",
       "2                   t9 -0.331706          4   3200.000000     8056     984   \n",
       "11                 t94 -2.504790          4   3789.473684    46226   22860   \n",
       "0                  t58  0.888031          3   2571.428571     3069   15058   \n",
       "3   t18:island1-613900 -4.972613          2  18240.230656        0   11100   \n",
       "12                 t25  1.286303          1   2000.000000    20376     385   \n",
       "\n",
       "    growth_rate  migration_rate  segsites_tot    pi_tot  segsites_local  \\\n",
       "4             0    1.976614e-08            19  0.007230               7   \n",
       "7             0    1.532070e-07            22  0.004922               0   \n",
       "13            0    2.425015e-09            14  0.007258               6   \n",
       "1             0    1.132873e-07            17  0.010397               3   \n",
       "9             0    9.650777e-09             5  0.003250               2   \n",
       "8             0    5.745047e-08             0  0.000000               0   \n",
       "14            0    3.511582e-08             6  0.003647               0   \n",
       "5             0    0.000000e+00             1  0.000693               1   \n",
       "6             0    1.852233e-07             9  0.003019               0   \n",
       "10            0    3.840747e-08             6  0.004026               0   \n",
       "2             0    0.000000e+00             0  0.000000               0   \n",
       "11            0    3.463109e-08            11  0.003592               1   \n",
       "0             0    0.000000e+00             1  0.000693               1   \n",
       "3             0    0.000000e+00            19  0.005873               2   \n",
       "12            0    0.000000e+00             1  0.000175               0   \n",
       "\n",
       "    segsites_meta  pi_local   pi_meta       dxy        da   TajimaD  \n",
       "4               9  0.004483  0.004600  0.009649  0.005107  0.283530  \n",
       "7              21  0.000000  0.007914  0.005789  0.001832  0.000000  \n",
       "13              2  0.002651  0.000702  0.012281  0.010604 -1.048221  \n",
       "1               8  0.002807  0.005224  0.016140  0.012125  1.953372  \n",
       "9               2  0.001949  0.001637  0.004561  0.002768  1.954422  \n",
       "8               0  0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "14              5  0.000000  0.004094  0.005088  0.003041  0.000000  \n",
       "5               0  0.000975  0.000000  0.000877  0.000390  1.551054  \n",
       "6               9  0.000000  0.005341  0.003333  0.000663  0.000000  \n",
       "10              6  0.000000  0.002963  0.006316  0.004834  0.000000  \n",
       "2               0  0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "11             10  0.000624  0.005575  0.004035  0.000936  0.102408  \n",
       "0               0  0.000975  0.000000  0.000877  0.000390  1.551054  \n",
       "3               9  0.000702  0.004600  0.008772  0.006121 -1.290702  \n",
       "12              1  0.000000  0.000351  0.000175  0.000000  0.000000  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simdir = analysis_dir + \"{}_MESS\".format(\"filtering\")\n",
    "\n",
    "logs = glob.glob(\"{}/{}-*/*megalog*\".format(simdir, \"hi\"))\n",
    "log_dat = [pd.read_csv(x).sort_values(by=[\"abundance\"], ascending=False) for x in logs]\n",
    "log_df = pd.concat(map(pd.Series, [x[\"trait\"].values for x in log_dat]), axis=1)\n",
    "abunds = pd.concat(map(pd.Series, [x[\"abundance\"].values for x in log_dat]), axis=1)\n",
    "\n",
    "mn = log_df[0].mean()\n",
    "print(mn)\n",
    "#np.abs(log_df[0] - mn) * abunds.iloc[:, 0]\n",
    "log_dat[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df_dict' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-75-39c150a64db3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mm\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mmodels\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mdf_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0msimdir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manalysis_dir\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"{}_MESS/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'df_dict' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "traits = True\n",
    "\n",
    "for m in models:\n",
    "    df_dict[m] = pd.DataFrame()\n",
    "    simdir = analysis_dir + \"{}_MESS/\".format(m)\n",
    "\n",
    "    for sp in [\"lo\"]:\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog.txt\".format(simdir, sp))\n",
    "        log_dat = [pd.read_csv(x)[\"trait\"].sort_values(ascending=False).values for x in logs]\n",
    "        \n",
    "        log_df = pd.concat(map(pd.Series, log_dat), axis=1)\n",
    "        mask = log_df.notna().sum() == 17\n",
    "        log_df = log_df.loc[:, mask]\n",
    "\n",
    "        if traits:\n",
    "            col_means = log_df.mean()\n",
    "            col_means_vec = col_means.values.reshape((1, col_means.shape[0]))\n",
    "            log_df = pd.DataFrame(abs(log_df.values - col_means_vec))\n",
    "\n",
    "        means = log_df.apply(np.mean, axis=1)\n",
    "        stds = log_df.apply(np.std, axis=1)\n",
    "        xs = range(0, len(means))\n",
    "\n",
    "        ax.plot(xs, means, c=MESS.plotting.model_colors[m])\n",
    "        ax.plot(xs, means + stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.plot(xs, means - stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.fill_between(xs, means - stds, means + stds, color=MESS.plotting.model_colors[m],alpha=0.5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>S</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        S\n",
       "0    21.0\n",
       "1    11.0\n",
       "2    19.0\n",
       "3    14.0\n",
       "4    13.0\n",
       "5     9.0\n",
       "6     9.0\n",
       "7    20.0\n",
       "8    12.0\n",
       "9    11.0\n",
       "10   17.0\n",
       "11   13.0\n",
       "12   17.0\n",
       "13   11.0\n",
       "14   11.0\n",
       "15   13.0\n",
       "16   20.0\n",
       "17   11.0\n",
       "18   13.0\n",
       "19   10.0\n",
       "20   13.0\n",
       "21   16.0\n",
       "22   20.0\n",
       "23   11.0\n",
       "24   15.0\n",
       "25   14.0\n",
       "26   15.0\n",
       "27   15.0\n",
       "28   14.0\n",
       "29   14.0\n",
       "30   18.0\n",
       "31   20.0\n",
       "32   19.0\n",
       "33   14.0\n",
       "34    9.0\n",
       "35   17.0\n",
       "36   11.0\n",
       "37   13.0\n",
       "38   15.0\n",
       "39   10.0\n",
       "40   13.0\n",
       "41    7.0\n",
       "42   15.0\n",
       "43   14.0\n",
       "44   13.0\n",
       "45   11.0\n",
       "46    9.0\n",
       "47    9.0\n",
       "48   13.0\n",
       "49   17.0\n",
       "50   11.0\n",
       "51   15.0\n",
       "52   15.0\n",
       "53   12.0\n",
       "54   19.0\n",
       "55   11.0\n",
       "56   12.0\n",
       "57    9.0\n",
       "58   13.0\n",
       "59   16.0\n",
       "60   16.0\n",
       "61   16.0\n",
       "62   13.0\n",
       "63   11.0\n",
       "64    9.0\n",
       "65   16.0\n",
       "66   16.0\n",
       "67   13.0\n",
       "68   17.0\n",
       "69   12.0\n",
       "70   10.0\n",
       "71   11.0\n",
       "72   16.0\n",
       "73   17.0\n",
       "74   15.0\n",
       "75    8.0\n",
       "76   11.0\n",
       "77    9.0\n",
       "78   12.0\n",
       "79   11.0\n",
       "80    9.0\n",
       "81    6.0\n",
       "82   15.0\n",
       "83   10.0\n",
       "84   12.0\n",
       "85    9.0\n",
       "86   19.0\n",
       "87   11.0\n",
       "88   14.0\n",
       "89    8.0\n",
       "90   12.0\n",
       "91    9.0\n",
       "92    9.0\n",
       "93    8.0\n",
       "94    7.0\n",
       "95   15.0\n",
       "96   13.0\n",
       "97   13.0\n",
       "98   11.0\n",
       "99   13.0\n",
       "100  14.0\n",
       "101  13.0\n",
       "102   8.0\n",
       "103  14.0\n",
       "104   7.0\n",
       "105  12.0\n",
       "106  12.0\n",
       "107  18.0\n",
       "108  12.0\n",
       "109  20.0\n",
       "110   8.0\n",
       "111  15.0\n",
       "112  12.0\n",
       "113  13.0\n",
       "114   6.0\n",
       "115  11.0\n",
       "116  15.0\n",
       "117  12.0\n",
       "118  12.0\n",
       "119  13.0\n",
       "120   2.0\n",
       "121  19.0\n",
       "122   9.0\n",
       "123  23.0\n",
       "124  11.0\n",
       "125   1.0\n",
       "126  14.0\n",
       "127  17.0\n",
       "128   3.0\n",
       "129   2.0\n",
       "130   1.0\n",
       "131   7.0\n",
       "132   2.0\n",
       "133   3.0\n",
       "134   3.0\n",
       "135  16.0\n",
       "136   5.0\n",
       "137   1.0\n",
       "138   1.0\n",
       "139   3.0\n",
       "140   8.0\n",
       "141   9.0\n",
       "142  10.0\n",
       "143  10.0\n",
       "144  20.0\n",
       "145  22.0\n",
       "146   2.0\n",
       "147   2.0\n",
       "148  15.0\n",
       "149  12.0\n",
       "150  14.0\n",
       "151  10.0\n",
       "152  14.0\n",
       "153  18.0\n",
       "154   1.0\n",
       "155  15.0\n",
       "156   3.0\n",
       "157   5.0\n",
       "158   1.0\n",
       "159   3.0\n",
       "160  19.0\n",
       "161  12.0\n",
       "162  19.0\n",
       "163   7.0\n",
       "164   1.0\n",
       "165  15.0\n",
       "166  16.0\n",
       "167  13.0\n",
       "168  17.0\n",
       "169  12.0\n",
       "170   3.0\n",
       "171   3.0\n",
       "172  10.0\n",
       "173  16.0\n",
       "174  11.0\n",
       "175   8.0\n",
       "176   2.0\n",
       "177  10.0\n",
       "178   2.0\n",
       "179  19.0\n",
       "180  17.0\n",
       "181   3.0\n",
       "182  16.0\n",
       "183  14.0\n",
       "184   6.0\n",
       "185   7.0\n",
       "186  18.0\n",
       "187   5.0\n",
       "188  14.0\n",
       "189  19.0\n",
       "190  11.0\n",
       "191  17.0\n",
       "192  24.0\n",
       "193  16.0\n",
       "194   8.0\n",
       "195  11.0\n",
       "196  19.0\n",
       "197  15.0\n",
       "198  16.0\n",
       "199   4.0\n",
       "200  17.0\n",
       "201  18.0\n",
       "202  21.0\n",
       "203  11.0\n",
       "204   1.0\n",
       "205  17.0\n",
       "206  12.0\n",
       "207  19.0\n",
       "208  14.0\n",
       "209   1.0\n",
       "210  15.0\n",
       "211  18.0\n",
       "212  18.0\n",
       "213  17.0\n",
       "214  13.0\n",
       "215  18.0\n",
       "216  13.0\n",
       "217  18.0\n",
       "218  18.0\n",
       "219  11.0\n",
       "220  18.0\n",
       "221  18.0\n",
       "222  19.0\n",
       "223  15.0\n",
       "224   3.0\n",
       "225  12.0\n",
       "226   9.0\n",
       "227  12.0\n",
       "228  16.0\n",
       "229   9.0\n",
       "230  16.0\n",
       "231   7.0\n",
       "232   3.0\n",
       "233  17.0\n",
       "234  19.0\n",
       "235  14.0\n",
       "236  21.0\n",
       "237  11.0\n",
       "238  15.0\n",
       "239   9.0\n",
       "240  17.0\n",
       "241  16.0\n",
       "242  18.0\n",
       "243  18.0\n",
       "244  16.0\n",
       "245  18.0\n",
       "246  17.0\n",
       "247  16.0\n",
       "248  16.0\n",
       "249  21.0\n",
       "250  20.0\n",
       "251  25.0\n",
       "252  22.0\n",
       "253  18.0\n",
       "254  22.0\n",
       "255  16.0\n",
       "256  22.0\n",
       "257  22.0\n",
       "258  17.0\n",
       "259  20.0\n",
       "260  18.0\n",
       "261  12.0\n",
       "262  22.0\n",
       "263  22.0\n",
       "264  22.0\n",
       "265  27.0\n",
       "266  22.0\n",
       "267  21.0\n",
       "268  24.0\n",
       "269  19.0\n",
       "270  22.0\n",
       "271  22.0\n",
       "272  22.0\n",
       "273  21.0\n",
       "274  22.0\n",
       "275  20.0\n",
       "276  17.0\n",
       "277  19.0\n",
       "278  17.0\n",
       "279  22.0\n",
       "280  17.0\n",
       "281  16.0\n",
       "282  21.0\n",
       "283  20.0\n",
       "284  21.0\n",
       "285  16.0\n",
       "286  21.0\n",
       "287  16.0\n",
       "288  14.0\n",
       "289  16.0\n",
       "290  19.0\n",
       "291  17.0\n",
       "292  20.0\n",
       "293  18.0\n",
       "294  16.0\n",
       "295  22.0\n",
       "296  23.0\n",
       "297  20.0\n",
       "298  23.0\n",
       "299  19.0\n",
       "300  19.0\n",
       "301  14.0\n",
       "302  14.0\n",
       "303  22.0\n",
       "304  20.0\n",
       "305  18.0\n",
       "306  19.0\n",
       "307  20.0\n",
       "308  20.0\n",
       "309  17.0\n",
       "310  17.0\n",
       "311  22.0\n",
       "312  20.0\n",
       "313  17.0\n",
       "314  18.0\n",
       "315  18.0\n",
       "316  22.0\n",
       "317  22.0\n",
       "318  19.0\n",
       "319  20.0\n",
       "320  19.0\n",
       "321  19.0\n",
       "322  18.0\n",
       "323  19.0\n",
       "324  16.0\n",
       "325  21.0\n",
       "326  17.0\n",
       "327  20.0\n",
       "328  20.0\n",
       "329  16.0\n",
       "330  19.0\n",
       "331  17.0\n",
       "332  19.0\n",
       "333  19.0\n",
       "334  14.0\n",
       "335  23.0\n",
       "336  21.0\n",
       "337  23.0\n",
       "338  16.0\n",
       "339  15.0\n",
       "340  23.0\n",
       "341  23.0\n",
       "342  20.0\n",
       "343  15.0\n",
       "344  16.0\n",
       "345  20.0\n",
       "346  22.0\n",
       "347  19.0\n",
       "348  16.0\n",
       "349  15.0\n",
       "350  22.0\n",
       "351  17.0\n",
       "352  19.0\n",
       "353  22.0\n",
       "354  23.0\n",
       "355  21.0\n",
       "356  16.0\n",
       "357  20.0\n",
       "358  24.0\n",
       "359  20.0"
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit an array of size [Ndim, Nsamples]\n",
    "data = np.vstack([x, y])\n",
    "kde = gaussian_kde(data)\n",
    "\n",
    "# evaluate on a regular grid\n",
    "xgrid = np.linspace(-3.5, 3.5, 40)\n",
    "ygrid = np.linspace(-6, 6, 40)\n",
    "Xgrid, Ygrid = np.meshgrid(xgrid, ygrid)\n",
    "Z = kde.evaluate(np.vstack([Xgrid.ravel(), Ygrid.ravel()]))\n",
    "\n",
    "# Plot the result as an image\n",
    "plt.imshow(Z.reshape(Xgrid.shape),\n",
    "           origin='lower', aspect='auto',\n",
    "           extent=[-3.5, 3.5, -6, 6],\n",
    "           cmap='Blues')\n",
    "cb = plt.colorbar()\n",
    "cb.set_label(\"density\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trash below here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure 2 Dev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 619,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dict = {}\n",
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "traits = False\n",
    "\n",
    "for m in models:\n",
    "    df_dict[m] = pd.DataFrame()\n",
    "    simdir = analysis_dir + \"{}_MESS/\".format(m)\n",
    "\n",
    "    for sp in [\"no\"]:\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog.txt\".format(simdir, sp))[:50]\n",
    "\n",
    "        log_dat = [pd.read_csv(x)[\"abundance\"].sort_values(ascending=False).values for x in logs]\n",
    "        \n",
    "        log_df = pd.concat(map(pd.Series, log_dat), axis=1)\n",
    "        mask = log_df.notna().sum() == 15\n",
    "        log_df = log_df.loc[:, mask]\n",
    "\n",
    "        if traits:\n",
    "            col_means = log_df.mean()\n",
    "            col_means_vec = col_means.values.reshape((1, col_means.shape[0]))\n",
    "            log_df = pd.DataFrame(log_df.values - col_means_vec)\n",
    "\n",
    "        means = log_df.apply(np.mean, axis=1)\n",
    "        stds = log_df.apply(np.std, axis=1)\n",
    "        xs = range(0, len(means))\n",
    "        if True:\n",
    "            ax.plot(xs, np.log(means), c=MESS.plotting.model_colors[m])\n",
    "            ax.plot(xs, np.log(means + stds), c=MESS.plotting.model_colors[m], ls='--')\n",
    "            ax.plot(xs, np.log(np.clip(means - stds, 1, a_max=None)), color=MESS.plotting.model_colors[m], ls='--')\n",
    "            ax.fill_between(xs, np.log(np.clip(means - stds, 1, a_max=None)), np.log(means + stds),\n",
    "                            color=MESS.plotting.model_colors[m], alpha=0.25)\n",
    "        else:\n",
    "            ax.plot(xs, means, c=MESS.plotting.model_colors[m])\n",
    "            ax.plot(xs, means + stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "            ax.plot(xs, means - stds, color=MESS.plotting.model_colors[m], ls='--')\n",
    "            ax.fill_between(xs, means - stds, means + stds,\n",
    "                            color=MESS.plotting.model_colors[m], alpha=0.25)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The RAC version is unparsable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 562,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = [\"neutral\", \"competition\", \"filtering\"]\n",
    "df_dict = {}\n",
    "for m in models:\n",
    "    df_dict[m] = pd.DataFrame()\n",
    "    simdir = analysis_dir + \"{}_MESS/\".format(m)\n",
    "    for sp in [\"hi\"]:\n",
    "        dirs = glob.glob(\"{}/{}-*\".format(simdir, sp))[:50]\n",
    "        for d in dirs:\n",
    "            try:\n",
    "                df = pd.read_csv(glob.glob(\"{}/*megalog*\".format(d))[0])\n",
    "            except:\n",
    "                pass\n",
    "            pis = df[\"abundance\"]\n",
    "            xs = range(0, len(pis))\n",
    "            ys = np.log(sorted(pis, reverse=True))\n",
    "            #ys = sorted(pis, reverse=True)\n",
    "            plt.plot(xs, ys, c=MESS.plotting.model_colors[m], alpha=0.3)\n",
    "            #plt.xlim(0, 15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'rpy2'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-76-d89507ee8ad4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mrpy2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrobjects\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpandas2ri\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__version__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from rpy2.robjects import r, pandas2ri\n",
    "pd.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This is the old bad version. Bad Bad!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.06832603, 0.10672431, 0.10865846, 0.        , 0.15469331,\n",
       "       0.67323002, 0.64732678, 0.12902935,        nan, 0.62449454,\n",
       "       0.67443842, 0.66572982, 0.25550481,        nan, 0.87560056,\n",
       "       0.77233425, 1.05257455, 1.18578908,        nan, 2.02650274,\n",
       "       0.78191959, 1.37794474, 1.809256  ,        nan, 2.42098973,\n",
       "       0.8358888 , 1.52575805, 2.03501413,        nan, 2.7699918 ,\n",
       "       1.11606037, 1.86706334, 2.97932548,        nan, 2.92790126,\n",
       "       1.36715176, 2.26533581, 3.95717343,        nan, 3.04884566,\n",
       "       1.46121104, 2.39416594,        nan,        nan, 3.15545772,\n",
       "       1.51527293, 2.54051319,        nan,        nan, 3.7191844 ,\n",
       "       1.57048702, 3.11391367,        nan,        nan, 3.79511436,\n",
       "       1.74388004, 3.29930396,        nan,        nan, 4.02302456,\n",
       "       1.98455895, 3.32983631,        nan,        nan, 4.26010798,\n",
       "       2.37402203, 3.72709066,        nan,        nan, 5.2303823 ,\n",
       "       2.41024469, 3.99358089,        nan,        nan, 5.24014846,\n",
       "       2.59946065,        nan,        nan,        nan, 6.87294141,\n",
       "       3.92377027,        nan,        nan,        nan, 7.78225167,\n",
       "       4.01215903,        nan,        nan,        nan,        nan,\n",
       "       4.27726802,        nan,        nan,        nan,        nan,\n",
       "       4.28064247,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan,\n",
       "              nan,        nan,        nan,        nan,        nan])"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def plot_traits(ax='', speciation_prob='hi', do_abs=True):\n",
    "    if not ax:\n",
    "        fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n",
    "    for m in models:\n",
    "        simdir = analysis_dir + \"{}_MESS\".format(m)\n",
    "\n",
    "        logs = glob.glob(\"{}/{}-*/*megalog*\".format(simdir, speciation_prob))\n",
    "        log_dat = [pd.read_csv(x).sort_values(by=[\"abundance\"], ascending=False) for x in logs]\n",
    "        log_df = pd.concat(map(pd.Series, [x[\"trait\"].values for x in log_dat]), axis=1)\n",
    "        abunds = pd.concat(map(pd.Series, [x[\"abundance\"].values for x in log_dat]), axis=1)\n",
    "        #display(log_df)\n",
    "        minspecies = 10\n",
    "        maxspecies = 21\n",
    "        mask = (log_df.notna().sum() >= minspecies) & (log_df.notna().sum() <= maxspecies)\n",
    "        log_df = log_df.loc[:, mask]\n",
    "        mask = (abunds.notna().sum() >= minspecies) & (abunds.notna().sum() <= maxspecies)\n",
    "        abunds = abunds.loc[:, mask]\n",
    "\n",
    "        col_means = log_df.mean()\n",
    "        col_means_vec = col_means.values.reshape((1, col_means.shape[0]))\n",
    "        if do_abs:\n",
    "            log_df = pd.DataFrame(np.abs(log_df.values - col_means_vec))\n",
    "        else:\n",
    "            log_df = pd.DataFrame(log_df.values - col_means_vec)\n",
    "        \n",
    "        means = log_df.apply(np.mean, axis=1)\n",
    "        stds = log_df.apply(np.std, axis=1)\n",
    "        xs = range(0, len(means))\n",
    "        ax.plot(xs, means, c=MESS.plotting.model_colors[m])\n",
    "        ax.plot(xs, means + stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.plot(xs, means - stds, c=MESS.plotting.model_colors[m], ls='--')\n",
    "        ax.fill_between(xs, means - stds, means + stds, alpha=0.2, color=MESS.plotting.model_colors[m])\n",
    "\n",
    "        ## Plot the average RAD\n",
    "        #ax.plot(xs, np.log(abunds.apply(np.mean, axis=1)), c=MESS.plotting.model_colors[m])\n",
    "        #ax.set_title(sp_prob, fontsize=20)\n",
    "#plot_traits(speciation_prob=\"no\", do_abs=False)\n",
    "plot_traits(speciation_prob=\"no\", do_abs=False)\n",
    "plot_traits(speciation_prob=\"lo\", do_abs=True)\n",
    "plot_traits(speciation_prob=\"hi\", do_abs=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "goatzilla\r\n"
     ]
    }
   ],
   "source": [
    "!hostname"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
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