NPI_Cluster_Results_Correlated.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import re\n",
    "from plotfx import *\n",
    "import pickle\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\Hali\\\\Documents\\\\Graduate School Documents\\\\PhD Program\\\\Dissertation\\\\COVID Campus\\\\Results'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.chdir('C:\\\\Users\\\\Hali\\\\Documents\\\\Graduate School Documents\\\\PhD Program\\\\Dissertation\\\\COVID Campus\\\\Results\\\\Appeal')\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sims = ['beta006_multiNPI_0vax_hicom_correlated']\n",
    "partitions = np.arange(5)\n",
    "sim_names = [sim + '_' + str(part) + '.csv' for sim in sims for part in partitions]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['beta006_multiNPI_0vax_hicom_correlated_0.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_correlated_1.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_correlated_2.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_correlated_3.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_correlated_4.csv']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "for file in sim_names:\n",
    "    tmpdf = pd.read_csv(file, header = 0, dtype = {'rep': int, 'p_vax': float, 'test_freq': int})\n",
    "    part = int(file[-5])\n",
    "    tmpdf['partition'] = np.repeat(part, repeats = tmpdf.shape[0])\n",
    "    df = df.append(tmpdf, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60500, 8)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rep</th>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>cum_uniq_inf</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>429</td>\n",
       "      <td>92</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "   rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "0    1          0   0.0   0.0    0.0           468         120          0\n",
       "1    2          0   0.0   0.0    0.0           435         107          0\n",
       "2    3          0   0.0   0.0    0.0           423         106          0\n",
       "3    4          0   0.0   0.0    0.0           467         107          0\n",
       "4    5          0   0.0   0.0    0.0           429          92          0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
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   "source": [
    "df.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
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       "      <th>test_freq</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "       rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "60495   96         28   1.0   1.0    0.0           124         123          4\n",
       "60496   97         28   1.0   1.0    0.0           127         133          4\n",
       "60497   98         28   1.0   1.0    0.0           145         147          4\n",
       "60498   99         28   1.0   1.0    0.0           124         130          4\n",
       "60499  100         28   1.0   1.0    0.0           161         161          4"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renumber reps to remove duplicates\n",
    "df['rep'] = df['rep'] + df['partition']*20\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['beta006_multiNPI_0vax_hicom_0.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_1.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_2.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_3.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_4.csv']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load comparison dataframes\n",
    "refsims = ['beta006_multiNPI_0vax_hicom']\n",
    "partitions = np.arange(5)\n",
    "refsim_names = [sim + '_' + str(part) + '.csv' for sim in refsims for part in partitions]\n",
    "refsim_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "refdf = pd.DataFrame()\n",
    "for file in refsim_names:\n",
    "    tmpdf = pd.read_csv(file, header = 0, dtype = {'rep': int, 'p_vax': float, 'test_freq': int})\n",
    "    part = int(file[-5])\n",
    "    tmpdf['partition'] = np.repeat(part, repeats = tmpdf.shape[0])\n",
    "    refdf = refdf.append(tmpdf, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rep</th>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>cum_uniq_inf</th>\n",
       "      <th>ext_inf_ct</th>\n",
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       "      <td>4</td>\n",
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       "      <td>4</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>4</td>\n",
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       "      <td>130</td>\n",
       "      <td>4</td>\n",
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       "      <td>100</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>162</td>\n",
       "      <td>163</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "60495   96         28   1.0   1.0    0.0           124         123          4\n",
       "60496   97         28   1.0   1.0    0.0           127         133          4\n",
       "60497   98         28   1.0   1.0    0.0           145         147          4\n",
       "60498   99         28   1.0   1.0    0.0           124         130          4\n",
       "60499  100         28   1.0   1.0    0.0           162         163          4"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renumber reps to remove duplicates\n",
    "refdf['rep'] = refdf['rep'] + refdf['partition']*20\n",
    "refdf.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Heatmaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "      <th>count</th>\n",
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       "    <tr>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.0</th>\n",
       "      <th>0.0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>452.89</td>\n",
       "      <td>19.008714</td>\n",
       "      <td>406.0</td>\n",
       "      <td>439.75</td>\n",
       "      <td>453.0</td>\n",
       "      <td>466.00</td>\n",
       "      <td>499.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.1</th>\n",
       "      <td>100.0</td>\n",
       "      <td>404.62</td>\n",
       "      <td>24.569333</td>\n",
       "      <td>349.0</td>\n",
       "      <td>389.75</td>\n",
       "      <td>403.5</td>\n",
       "      <td>422.25</td>\n",
       "      <td>458.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>360.27</td>\n",
       "      <td>29.785718</td>\n",
       "      <td>284.0</td>\n",
       "      <td>342.75</td>\n",
       "      <td>364.0</td>\n",
       "      <td>381.25</td>\n",
       "      <td>413.0</td>\n",
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       "    <tr>\n",
       "      <th>0.3</th>\n",
       "      <td>100.0</td>\n",
       "      <td>313.37</td>\n",
       "      <td>26.228851</td>\n",
       "      <td>229.0</td>\n",
       "      <td>297.75</td>\n",
       "      <td>316.0</td>\n",
       "      <td>333.00</td>\n",
       "      <td>368.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>273.28</td>\n",
       "      <td>24.168633</td>\n",
       "      <td>209.0</td>\n",
       "      <td>258.00</td>\n",
       "      <td>274.0</td>\n",
       "      <td>288.00</td>\n",
       "      <td>337.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">28</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">1.0</th>\n",
       "      <th>0.6</th>\n",
       "      <td>100.0</td>\n",
       "      <td>144.66</td>\n",
       "      <td>13.613882</td>\n",
       "      <td>111.0</td>\n",
       "      <td>136.00</td>\n",
       "      <td>143.0</td>\n",
       "      <td>154.00</td>\n",
       "      <td>189.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>141.34</td>\n",
       "      <td>12.192248</td>\n",
       "      <td>110.0</td>\n",
       "      <td>134.00</td>\n",
       "      <td>141.0</td>\n",
       "      <td>149.00</td>\n",
       "      <td>174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.8</th>\n",
       "      <td>100.0</td>\n",
       "      <td>139.90</td>\n",
       "      <td>12.166770</td>\n",
       "      <td>106.0</td>\n",
       "      <td>131.75</td>\n",
       "      <td>141.0</td>\n",
       "      <td>146.25</td>\n",
       "      <td>179.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.9</th>\n",
       "      <td>100.0</td>\n",
       "      <td>138.48</td>\n",
       "      <td>11.643249</td>\n",
       "      <td>107.0</td>\n",
       "      <td>129.75</td>\n",
       "      <td>140.0</td>\n",
       "      <td>147.25</td>\n",
       "      <td>170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>135.63</td>\n",
       "      <td>11.541454</td>\n",
       "      <td>109.0</td>\n",
       "      <td>127.00</td>\n",
       "      <td>136.0</td>\n",
       "      <td>144.00</td>\n",
       "      <td>168.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>605 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count    mean        std    min     25%    50%     75%  \\\n",
       "test_freq p_sd p_fm                                                           \n",
       "0         0.0  0.0   100.0  452.89  19.008714  406.0  439.75  453.0  466.00   \n",
       "               0.1   100.0  404.62  24.569333  349.0  389.75  403.5  422.25   \n",
       "               0.2   100.0  360.27  29.785718  284.0  342.75  364.0  381.25   \n",
       "               0.3   100.0  313.37  26.228851  229.0  297.75  316.0  333.00   \n",
       "               0.4   100.0  273.28  24.168633  209.0  258.00  274.0  288.00   \n",
       "...                    ...     ...        ...    ...     ...    ...     ...   \n",
       "28        1.0  0.6   100.0  144.66  13.613882  111.0  136.00  143.0  154.00   \n",
       "               0.7   100.0  141.34  12.192248  110.0  134.00  141.0  149.00   \n",
       "               0.8   100.0  139.90  12.166770  106.0  131.75  141.0  146.25   \n",
       "               0.9   100.0  138.48  11.643249  107.0  129.75  140.0  147.25   \n",
       "               1.0   100.0  135.63  11.541454  109.0  127.00  136.0  144.00   \n",
       "\n",
       "                       max  \n",
       "test_freq p_sd p_fm         \n",
       "0         0.0  0.0   499.0  \n",
       "               0.1   458.0  \n",
       "               0.2   413.0  \n",
       "               0.3   368.0  \n",
       "               0.4   337.0  \n",
       "...                    ...  \n",
       "28        1.0  0.6   189.0  \n",
       "               0.7   174.0  \n",
       "               0.8   179.0  \n",
       "               0.9   170.0  \n",
       "               1.0   168.0  \n",
       "\n",
       "[605 rows x 8 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aggdf = df.groupby(['test_freq','p_sd','p_fm'])['cum_uniq_inf'].describe()\n",
    "aggdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Every 3 Days',\n",
       " 'Every 7 Days',\n",
       " 'Every 14 Days',\n",
       " 'Every 28 Days',\n",
       " 'Symptomatic Only']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annotate = [\"Random\\nAssignment\", \"Clustered\\nMasking\"]\n",
    "title = 'Every {freq} Days'\n",
    "titles = [title.format(freq = f) for f in [3,7,14,28]] + ['Symptomatic Only']\n",
    "titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = [refdf, df]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x864 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['axes.titlesize'] = 'xx-large'\n",
    "mpl.rcParams['axes.labelsize'] = 'xx-large'\n",
    "\n",
    "f, axs = plt.subplots(2, 5, figsize = (25, 12), sharex = True, sharey = True)\n",
    "#f.suptitle('Testing Frequency', fontsize = 20, y = 0.93)\n",
    "f.subplots_adjust(wspace=0.03, hspace=0.05)\n",
    "\n",
    "# Loop through rows\n",
    "for (i, frame) in enumerate(dfs):\n",
    "    \n",
    "    # Loop through testing values (columns)\n",
    "    for (j, tf) in enumerate(df.test_freq.unique()):\n",
    "        \n",
    "        if tf==0:\n",
    "            j = 4\n",
    "        else:\n",
    "            j = j-1\n",
    "        \n",
    "        # Format data\n",
    "        pltdf = frame.loc[(frame.test_freq == tf)]\n",
    "        xvals = pltdf.p_sd.unique()\n",
    "        yvals = pltdf.p_fm.unique()\n",
    "        pltx = [min(xvals)-0.05] + ((xvals[1:]+xvals[:-1])/2).tolist() + [max(xvals) + 0.05]\n",
    "        plty = [min(yvals)-0.05] + ((yvals[1:]+yvals[:-1])/2).tolist() + [max(yvals) + 0.05]\n",
    "        # Column index corresponds to x-coord, row corresponds to y-coord\n",
    "        vals = np.array(pltdf.groupby(['p_sd','p_fm'])['cum_uniq_inf'].mean()).reshape((11,11)).T/692\n",
    "\n",
    "        # Make plot\n",
    "        bounds = np.linspace(0, 0.55, 12) # for locom setting\n",
    "        #bounds = np.linspace(0, 0.65, 14) # for hicom setting\n",
    "        norm = mpl.colors.BoundaryNorm(boundaries=bounds, ncolors=256)\n",
    "        im = axs[i,j].pcolormesh(pltx, plty, vals, norm = norm, cmap='RdYlGn_r')\n",
    "        if i==0:\n",
    "            axs[i,j].set_title(titles[j], fontsize = 20)\n",
    "        if j==0:\n",
    "            axs[i,j].set_ylabel('% Wearing Face Mask', fontsize = 20)\n",
    "        if (i+1)==len(dfs):\n",
    "            axs[i,j].set_xlabel('% Social Distancing', fontsize = 20)\n",
    "            \n",
    "        # Adjust ticks and labels\n",
    "        axs[i,j].tick_params(axis = 'x', labelsize = 14)\n",
    "        axs[i,j].tick_params(axis = 'y', labelsize = 14)\n",
    "\n",
    "        # Annotate if last column\n",
    "        if (j+1)==df.test_freq.nunique():\n",
    "            axs[i,j].text(1.32, 0.5, annotate[i], fontsize = 20, ha='center', va='center')\n",
    "\n",
    "        # Add text annotations\n",
    "        for (k, x) in enumerate(xvals):\n",
    "            for (l, y) in enumerate(yvals):\n",
    "                if (vals[l,k]>=0.2) & (vals[l,k]<=0.45):\n",
    "                    text = axs[i,j].text(x, y, np.around(vals[l,k],2), ha=\"center\", va=\"center\", color = \"gray\", fontsize = 8)\n",
    "                else:\n",
    "                    text = axs[i,j].text(x, y, np.around(vals[l,k],2), ha=\"center\", va=\"center\", color = \"whitesmoke\", fontsize = 8)\n",
    "\n",
    "\n",
    "# Add colorbar\n",
    "cbar_ax = f.add_axes([0.05, 0.25, 0.01, 0.5])\n",
    "f.colorbar(im, ax=axs.ravel().tolist(), cax = cbar_ax, label = '% of Population Infected')\n",
    "cbar_ax.yaxis.set_ticks_position('right')\n",
    "cbar_ax.yaxis.set_label_position('left')\n",
    "cbar_ax.yaxis.label.set_size(20)\n",
    "cbar_ax.tick_params(labelsize=16)\n",
    "plt.savefig('Heatmap_hicom_corr_trans.eps', bbox_inches='tight', transparent=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}