FMR1 p21-le16 and 15 analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "64d9013d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#%% file import pre procesing\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "\n",
    "#plots\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import scipy.stats as stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "72112ab1",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>File</th>\n",
       "      <th>ID</th>\n",
       "      <th>Label</th>\n",
       "      <th>Accepted</th>\n",
       "      <th>Score</th>\n",
       "      <th>Begin Time (s)</th>\n",
       "      <th>End Time (s)</th>\n",
       "      <th>Call Length (s)</th>\n",
       "      <th>Principal Frequency (kHz)</th>\n",
       "      <th>Low Freq (kHz)</th>\n",
       "      <th>High Freq (kHz)</th>\n",
       "      <th>Delta Freq (kHz)</th>\n",
       "      <th>Frequency Standard Deviation (kHz)</th>\n",
       "      <th>Slope (kHz/s)</th>\n",
       "      <th>Sinuosity</th>\n",
       "      <th>Mean Power (dB/Hz)</th>\n",
       "      <th>Tonality</th>\n",
       "      <th>Peak Freq (kHz)</th>\n",
       "      <th>Genotype</th>\n",
       "      <th>Rat</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>1</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
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       "      <td>-87.460765</td>\n",
       "      <td>0.327004</td>\n",
       "      <td>43.355978</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
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       "      <td>35.894499</td>\n",
       "      <td>35.904440</td>\n",
       "      <td>0.009941</td>\n",
       "      <td>53.074905</td>\n",
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       "      <td>-84.269206</td>\n",
       "      <td>0.362974</td>\n",
       "      <td>55.670324</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
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       "      <th>3</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>4</td>\n",
       "      <td>Usv</td>\n",
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       "      <td>48.067736</td>\n",
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       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>5</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
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       "      <td>47.289556</td>\n",
       "      <td>47.321114</td>\n",
       "      <td>0.031559</td>\n",
       "      <td>38.160473</td>\n",
       "      <td>35.403716</td>\n",
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       "      <td>1.342536</td>\n",
       "      <td>-103.678281</td>\n",
       "      <td>0.248350</td>\n",
       "      <td>38.160473</td>\n",
       "      <td>WT</td>\n",
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       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>7</td>\n",
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       "      <td>57.509586</td>\n",
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       "      <td>568</td>\n",
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       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>8</td>\n",
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       "      <td>44.079507</td>\n",
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       "      <td>9</td>\n",
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       "      <td>0.274236</td>\n",
       "      <td>42.263720</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
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       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>10</td>\n",
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       "      <td>60.464127</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
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       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>11</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.510730</td>\n",
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      "text/plain": [
       "                                                  File  ID  Label  Accepted  \\\n",
       "0    D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   1    Usv      True   \n",
       "1    D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   2    Usv      True   \n",
       "2    D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   3    Usv      True   \n",
       "3    D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   4    Usv      True   \n",
       "4    D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   5    Usv      True   \n",
       "..                                                 ...  ..    ...       ...   \n",
       "162  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   7    Usv      True   \n",
       "163  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   8    Usv      True   \n",
       "164  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   9    Usv      True   \n",
       "165  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...  10  Short      True   \n",
       "166  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...  11    Usv      True   \n",
       "\n",
       "        Score  Begin Time (s)  End Time (s)  Call Length (s)  \\\n",
       "0    0.713953       23.197377     23.209553         0.012176   \n",
       "1    0.549356       34.503751     34.507727         0.003976   \n",
       "2    0.821904       35.894499     35.904440         0.009941   \n",
       "3    0.616676       46.401397     46.422632         0.021235   \n",
       "4    0.534498       47.289556     47.321114         0.031559   \n",
       "..        ...             ...           ...              ...   \n",
       "162  0.510165      262.427458    262.451428         0.023971   \n",
       "163  0.599161      276.125052    276.137076         0.012024   \n",
       "164  0.801063      281.597402    281.609867         0.012465   \n",
       "165  0.507565      297.171775    297.191657         0.019882   \n",
       "166  0.510730      298.180933    298.199097         0.018165   \n",
       "\n",
       "     Principal Frequency (kHz)  Low Freq (kHz)  High Freq (kHz)  \\\n",
       "0                    43.971920       40.892210        52.595109   \n",
       "1                    48.625000       47.125000        50.625000   \n",
       "2                    53.074905       50.479485        55.670324   \n",
       "3                    48.067736       46.732657        49.402814   \n",
       "4                    38.160473       35.403716        40.457770   \n",
       "..                         ...             ...              ...   \n",
       "162                  52.294862       50.208972        59.074003   \n",
       "163                  42.633929       40.610119        45.814201   \n",
       "164                  41.227134       39.672256        42.782012   \n",
       "165                  60.464127       56.440459        62.978920   \n",
       "166                  62.442010       59.813144        64.194588   \n",
       "\n",
       "     Delta Freq (kHz)  Frequency Standard Deviation (kHz)  Slope (kHz/s)  \\\n",
       "0           11.702899                            4.120947     652.764650   \n",
       "1            3.500000                            1.274755    -704.142012   \n",
       "2            5.190840                            1.792516    -471.804766   \n",
       "3            2.670157                            0.802282      83.618077   \n",
       "4            5.054054                            1.650525     -10.957306   \n",
       "..                ...                                 ...            ...   \n",
       "162          8.865031                            3.372815     379.974859   \n",
       "163          5.204082                            1.767577    -350.606625   \n",
       "164          3.109756                            0.913195    -119.990364   \n",
       "165          6.538462                            2.564596    -204.762765   \n",
       "166          4.381443                            1.685575    -202.523763   \n",
       "\n",
       "     Sinuosity  Mean Power (dB/Hz)  Tonality  Peak Freq (kHz) Genotype  Rat  \n",
       "0     3.291793          -87.460765  0.327004        43.355978       WT  581  \n",
       "1     1.254464          -94.324330  0.243807        48.125000       WT  581  \n",
       "2     1.916897          -84.269206  0.362974        55.670324       WT  581  \n",
       "3     1.285467          -93.533596  0.268260        48.067736       WT  581  \n",
       "4     1.342536         -103.678281  0.248350        38.160473       WT  581  \n",
       "..         ...                 ...       ...              ...      ...  ...  \n",
       "162   2.118734          -81.808928  0.363738        57.509586       KO  568  \n",
       "163   1.499081          -92.748030  0.331782        44.079507       KO  568  \n",
       "164   2.047019          -93.415067  0.274236        42.263720       KO  568  \n",
       "165   1.927784         -103.334578  0.186174        60.464127       KO  568  \n",
       "166   1.255530         -102.048358  0.240961        62.880155       KO  568  \n",
       "\n",
       "[630 rows x 20 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read in pup merged file \n",
    "le16_df = pd.read_excel('le16_p21_calls.xlsx')\n",
    "le15_df = pd.read_excel('le15_p21_calls.xlsx')\n",
    "\n",
    "pup_df = pd.concat([le16_df,le15_df])\n",
    "pup_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d8fbd3f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['iso1', 'iso2'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# if row contains iso1 set iso 1 in timepoint column'\n",
    "\n",
    "\n",
    "pup_df['Timepoint'] = pup_df[\"File\"].str.extract(\"(iso1|iso2)\")[0] #grab isolation from filename\n",
    "#pup_df['Rat'] = pup_df['File'].str.extract(r'Detections\\\\(.*?_)') # grab rat name in filename\n",
    "#('(fxs_calls\\.*?)\\_')\n",
    "pup_df['Timepoint'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd8ddf18",
   "metadata": {},
   "source": [
    "# Call Number comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7937b263",
   "metadata": {},
   "outputs": [],
   "source": [
    "# call number compared\n",
    "pup_df_g = pup_df.groupby(['Genotype','Timepoint']).count() # counts number of rows(calls) per rat\n",
    "pup_df_g = pup_df_g.reset_index() # adds indices back to columns for graphing\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a329498b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_14896\\4212151507.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  pup_df_rat_avg = pup_df.groupby(['Rat','Genotype','Timepoint']).mean()\n"
     ]
    },
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Rat</th>\n",
       "      <th>Genotype</th>\n",
       "      <th>Timepoint</th>\n",
       "      <th>ID</th>\n",
       "      <th>Accepted</th>\n",
       "      <th>Score</th>\n",
       "      <th>Begin Time (s)</th>\n",
       "      <th>End Time (s)</th>\n",
       "      <th>Call Length (s)</th>\n",
       "      <th>Principal Frequency (kHz)</th>\n",
       "      <th>Low Freq (kHz)</th>\n",
       "      <th>High Freq (kHz)</th>\n",
       "      <th>Delta Freq (kHz)</th>\n",
       "      <th>Frequency Standard Deviation (kHz)</th>\n",
       "      <th>Slope (kHz/s)</th>\n",
       "      <th>Sinuosity</th>\n",
       "      <th>Mean Power (dB/Hz)</th>\n",
       "      <th>Tonality</th>\n",
       "      <th>Peak Freq (kHz)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>563</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.567868</td>\n",
       "      <td>166.633665</td>\n",
       "      <td>166.651567</td>\n",
       "      <td>0.017901</td>\n",
       "      <td>45.419621</td>\n",
       "      <td>44.462750</td>\n",
       "      <td>48.139384</td>\n",
       "      <td>3.676634</td>\n",
       "      <td>1.349396</td>\n",
       "      <td>36.881098</td>\n",
       "      <td>1.971086</td>\n",
       "      <td>-101.104454</td>\n",
       "      <td>0.230393</td>\n",
       "      <td>45.320823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>563</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.583520</td>\n",
       "      <td>172.652106</td>\n",
       "      <td>172.672648</td>\n",
       "      <td>0.020543</td>\n",
       "      <td>48.546121</td>\n",
       "      <td>45.890878</td>\n",
       "      <td>50.418392</td>\n",
       "      <td>4.527514</td>\n",
       "      <td>1.754080</td>\n",
       "      <td>-53.759021</td>\n",
       "      <td>1.937255</td>\n",
       "      <td>-100.658834</td>\n",
       "      <td>0.228743</td>\n",
       "      <td>48.452831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>564</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>14.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.628205</td>\n",
       "      <td>93.875296</td>\n",
       "      <td>93.888939</td>\n",
       "      <td>0.013643</td>\n",
       "      <td>51.917032</td>\n",
       "      <td>48.589148</td>\n",
       "      <td>53.704036</td>\n",
       "      <td>5.114889</td>\n",
       "      <td>1.743511</td>\n",
       "      <td>198.257281</td>\n",
       "      <td>1.868485</td>\n",
       "      <td>-90.859670</td>\n",
       "      <td>0.348303</td>\n",
       "      <td>51.829625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>564</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.581103</td>\n",
       "      <td>191.090734</td>\n",
       "      <td>191.106541</td>\n",
       "      <td>0.015807</td>\n",
       "      <td>49.357547</td>\n",
       "      <td>47.070678</td>\n",
       "      <td>51.379327</td>\n",
       "      <td>4.308648</td>\n",
       "      <td>1.649169</td>\n",
       "      <td>180.179915</td>\n",
       "      <td>1.606454</td>\n",
       "      <td>-99.326762</td>\n",
       "      <td>0.256969</td>\n",
       "      <td>49.446130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>565</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.610934</td>\n",
       "      <td>157.423004</td>\n",
       "      <td>157.439486</td>\n",
       "      <td>0.016482</td>\n",
       "      <td>53.639345</td>\n",
       "      <td>50.643988</td>\n",
       "      <td>56.333107</td>\n",
       "      <td>5.689119</td>\n",
       "      <td>1.955957</td>\n",
       "      <td>-262.821247</td>\n",
       "      <td>2.135619</td>\n",
       "      <td>-96.020067</td>\n",
       "      <td>0.249720</td>\n",
       "      <td>53.692649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>565</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.574795</td>\n",
       "      <td>137.635700</td>\n",
       "      <td>137.658235</td>\n",
       "      <td>0.022535</td>\n",
       "      <td>49.947882</td>\n",
       "      <td>48.209130</td>\n",
       "      <td>52.211936</td>\n",
       "      <td>4.002807</td>\n",
       "      <td>1.522286</td>\n",
       "      <td>-49.934245</td>\n",
       "      <td>1.777586</td>\n",
       "      <td>-103.691825</td>\n",
       "      <td>0.210181</td>\n",
       "      <td>49.922998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>566</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.637121</td>\n",
       "      <td>108.558021</td>\n",
       "      <td>108.570911</td>\n",
       "      <td>0.012890</td>\n",
       "      <td>46.391732</td>\n",
       "      <td>43.246708</td>\n",
       "      <td>49.947520</td>\n",
       "      <td>6.700812</td>\n",
       "      <td>2.480573</td>\n",
       "      <td>-36.335461</td>\n",
       "      <td>2.016986</td>\n",
       "      <td>-93.886865</td>\n",
       "      <td>0.267608</td>\n",
       "      <td>45.147337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>566</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.664549</td>\n",
       "      <td>210.243151</td>\n",
       "      <td>210.335720</td>\n",
       "      <td>0.092569</td>\n",
       "      <td>44.353994</td>\n",
       "      <td>41.537012</td>\n",
       "      <td>47.060381</td>\n",
       "      <td>5.523369</td>\n",
       "      <td>1.866750</td>\n",
       "      <td>18.841323</td>\n",
       "      <td>1.517458</td>\n",
       "      <td>-92.651638</td>\n",
       "      <td>0.365961</td>\n",
       "      <td>44.849238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>568</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.624267</td>\n",
       "      <td>131.752081</td>\n",
       "      <td>131.769343</td>\n",
       "      <td>0.017261</td>\n",
       "      <td>50.720194</td>\n",
       "      <td>47.726894</td>\n",
       "      <td>53.564244</td>\n",
       "      <td>5.837350</td>\n",
       "      <td>2.082985</td>\n",
       "      <td>-27.227360</td>\n",
       "      <td>2.115055</td>\n",
       "      <td>-94.721274</td>\n",
       "      <td>0.294049</td>\n",
       "      <td>49.878573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>568</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.563111</td>\n",
       "      <td>196.353974</td>\n",
       "      <td>196.377718</td>\n",
       "      <td>0.023744</td>\n",
       "      <td>55.179929</td>\n",
       "      <td>52.514564</td>\n",
       "      <td>57.828035</td>\n",
       "      <td>5.313471</td>\n",
       "      <td>1.925019</td>\n",
       "      <td>-24.891398</td>\n",
       "      <td>1.870378</td>\n",
       "      <td>-98.819318</td>\n",
       "      <td>0.227182</td>\n",
       "      <td>55.554714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>580</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.642975</td>\n",
       "      <td>82.614021</td>\n",
       "      <td>82.631209</td>\n",
       "      <td>0.017189</td>\n",
       "      <td>50.692398</td>\n",
       "      <td>47.741733</td>\n",
       "      <td>53.193569</td>\n",
       "      <td>5.451836</td>\n",
       "      <td>1.944152</td>\n",
       "      <td>-96.358501</td>\n",
       "      <td>1.868705</td>\n",
       "      <td>-91.165280</td>\n",
       "      <td>0.356547</td>\n",
       "      <td>51.070558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>580</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.612658</td>\n",
       "      <td>149.593189</td>\n",
       "      <td>149.609899</td>\n",
       "      <td>0.016709</td>\n",
       "      <td>44.035328</td>\n",
       "      <td>42.148923</td>\n",
       "      <td>46.394522</td>\n",
       "      <td>4.245600</td>\n",
       "      <td>1.557355</td>\n",
       "      <td>-52.535901</td>\n",
       "      <td>1.408195</td>\n",
       "      <td>-100.446680</td>\n",
       "      <td>0.231538</td>\n",
       "      <td>44.180600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>581</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.588862</td>\n",
       "      <td>114.656662</td>\n",
       "      <td>114.671320</td>\n",
       "      <td>0.014658</td>\n",
       "      <td>46.244256</td>\n",
       "      <td>44.380867</td>\n",
       "      <td>48.605828</td>\n",
       "      <td>4.224960</td>\n",
       "      <td>1.481552</td>\n",
       "      <td>12.971220</td>\n",
       "      <td>1.819070</td>\n",
       "      <td>-96.155863</td>\n",
       "      <td>0.268943</td>\n",
       "      <td>45.785299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>581</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.591817</td>\n",
       "      <td>131.497971</td>\n",
       "      <td>131.516142</td>\n",
       "      <td>0.018171</td>\n",
       "      <td>51.914187</td>\n",
       "      <td>49.322093</td>\n",
       "      <td>54.701683</td>\n",
       "      <td>5.379590</td>\n",
       "      <td>1.910495</td>\n",
       "      <td>95.092663</td>\n",
       "      <td>2.004685</td>\n",
       "      <td>-97.397683</td>\n",
       "      <td>0.248092</td>\n",
       "      <td>50.935270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>582</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>14.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.578916</td>\n",
       "      <td>169.474467</td>\n",
       "      <td>169.490497</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>42.490946</td>\n",
       "      <td>40.168430</td>\n",
       "      <td>44.561090</td>\n",
       "      <td>4.392660</td>\n",
       "      <td>1.707889</td>\n",
       "      <td>19.325899</td>\n",
       "      <td>1.882358</td>\n",
       "      <td>-101.113663</td>\n",
       "      <td>0.228457</td>\n",
       "      <td>41.796350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>582</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.574839</td>\n",
       "      <td>181.856135</td>\n",
       "      <td>181.876909</td>\n",
       "      <td>0.020774</td>\n",
       "      <td>57.874543</td>\n",
       "      <td>54.876242</td>\n",
       "      <td>59.892630</td>\n",
       "      <td>5.016388</td>\n",
       "      <td>1.819791</td>\n",
       "      <td>141.641756</td>\n",
       "      <td>1.694530</td>\n",
       "      <td>-100.700899</td>\n",
       "      <td>0.239560</td>\n",
       "      <td>57.383347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>583</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.749037</td>\n",
       "      <td>118.974016</td>\n",
       "      <td>119.037982</td>\n",
       "      <td>0.063965</td>\n",
       "      <td>55.587196</td>\n",
       "      <td>53.930626</td>\n",
       "      <td>57.646955</td>\n",
       "      <td>3.716329</td>\n",
       "      <td>0.997689</td>\n",
       "      <td>31.903849</td>\n",
       "      <td>1.522251</td>\n",
       "      <td>-85.251802</td>\n",
       "      <td>0.517456</td>\n",
       "      <td>55.782316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>583</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.595808</td>\n",
       "      <td>148.478963</td>\n",
       "      <td>148.500930</td>\n",
       "      <td>0.021967</td>\n",
       "      <td>53.052617</td>\n",
       "      <td>50.511255</td>\n",
       "      <td>54.691632</td>\n",
       "      <td>4.180377</td>\n",
       "      <td>1.549548</td>\n",
       "      <td>69.542489</td>\n",
       "      <td>1.548977</td>\n",
       "      <td>-98.745864</td>\n",
       "      <td>0.282095</td>\n",
       "      <td>53.892625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>584</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>122.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.770821</td>\n",
       "      <td>176.034825</td>\n",
       "      <td>176.077091</td>\n",
       "      <td>0.042266</td>\n",
       "      <td>56.080548</td>\n",
       "      <td>53.198652</td>\n",
       "      <td>58.522504</td>\n",
       "      <td>5.323853</td>\n",
       "      <td>1.657511</td>\n",
       "      <td>8.501110</td>\n",
       "      <td>1.486056</td>\n",
       "      <td>-80.401871</td>\n",
       "      <td>0.592587</td>\n",
       "      <td>56.388327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>584</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>20.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.707425</td>\n",
       "      <td>128.536167</td>\n",
       "      <td>128.575299</td>\n",
       "      <td>0.039131</td>\n",
       "      <td>56.171232</td>\n",
       "      <td>54.643980</td>\n",
       "      <td>57.431877</td>\n",
       "      <td>2.787897</td>\n",
       "      <td>0.854432</td>\n",
       "      <td>-15.628488</td>\n",
       "      <td>1.472979</td>\n",
       "      <td>-87.972616</td>\n",
       "      <td>0.472693</td>\n",
       "      <td>56.411122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>585</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>13.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.618067</td>\n",
       "      <td>127.601041</td>\n",
       "      <td>127.619594</td>\n",
       "      <td>0.018554</td>\n",
       "      <td>52.550904</td>\n",
       "      <td>50.474345</td>\n",
       "      <td>55.381802</td>\n",
       "      <td>4.907457</td>\n",
       "      <td>1.600194</td>\n",
       "      <td>-167.430298</td>\n",
       "      <td>1.663343</td>\n",
       "      <td>-93.474704</td>\n",
       "      <td>0.307113</td>\n",
       "      <td>52.729081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>585</td>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.565923</td>\n",
       "      <td>162.012671</td>\n",
       "      <td>162.029369</td>\n",
       "      <td>0.016698</td>\n",
       "      <td>47.306501</td>\n",
       "      <td>45.074723</td>\n",
       "      <td>50.212721</td>\n",
       "      <td>5.137998</td>\n",
       "      <td>1.718136</td>\n",
       "      <td>-136.146255</td>\n",
       "      <td>2.005266</td>\n",
       "      <td>-98.315028</td>\n",
       "      <td>0.253978</td>\n",
       "      <td>46.892822</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Rat Genotype Timepoint     ID  Accepted     Score  Begin Time (s)  \\\n",
       "0   563       WT      iso1    2.5       1.0  0.567868      166.633665   \n",
       "1   563       WT      iso2    7.5       1.0  0.583520      172.652106   \n",
       "2   564       KO      iso1   14.5       1.0  0.628205       93.875296   \n",
       "3   564       KO      iso2   11.0       1.0  0.581103      191.090734   \n",
       "4   565       KO      iso1    7.5       1.0  0.610934      157.423004   \n",
       "5   565       KO      iso2    8.0       1.0  0.574795      137.635700   \n",
       "6   566       KO      iso1    6.5       1.0  0.637121      108.558021   \n",
       "7   566       KO      iso2   13.0       1.0  0.664549      210.243151   \n",
       "8   568       KO      iso1   12.0       1.0  0.624267      131.752081   \n",
       "9   568       KO      iso2    6.0       1.0  0.563111      196.353974   \n",
       "10  580       WT      iso1    6.5       1.0  0.642975       82.614021   \n",
       "11  580       WT      iso2    4.0       1.0  0.612658      149.593189   \n",
       "12  581       WT      iso1   10.0       1.0  0.588862      114.656662   \n",
       "13  581       WT      iso2    8.0       1.0  0.591817      131.497971   \n",
       "14  582       WT      iso1   14.5       1.0  0.578916      169.474467   \n",
       "15  582       WT      iso2    3.0       1.0  0.574839      181.856135   \n",
       "16  583       WT      iso1   25.0       1.0  0.749037      118.974016   \n",
       "17  583       WT      iso2    5.0       1.0  0.595808      148.478963   \n",
       "18  584       KO      iso1  122.5       1.0  0.770821      176.034825   \n",
       "19  584       KO      iso2   20.5       1.0  0.707425      128.536167   \n",
       "20  585       KO      iso1   13.5       1.0  0.618067      127.601041   \n",
       "21  585       KO      iso2    5.0       1.0  0.565923      162.012671   \n",
       "\n",
       "    End Time (s)  Call Length (s)  Principal Frequency (kHz)  Low Freq (kHz)  \\\n",
       "0     166.651567         0.017901                  45.419621       44.462750   \n",
       "1     172.672648         0.020543                  48.546121       45.890878   \n",
       "2      93.888939         0.013643                  51.917032       48.589148   \n",
       "3     191.106541         0.015807                  49.357547       47.070678   \n",
       "4     157.439486         0.016482                  53.639345       50.643988   \n",
       "5     137.658235         0.022535                  49.947882       48.209130   \n",
       "6     108.570911         0.012890                  46.391732       43.246708   \n",
       "7     210.335720         0.092569                  44.353994       41.537012   \n",
       "8     131.769343         0.017261                  50.720194       47.726894   \n",
       "9     196.377718         0.023744                  55.179929       52.514564   \n",
       "10     82.631209         0.017189                  50.692398       47.741733   \n",
       "11    149.609899         0.016709                  44.035328       42.148923   \n",
       "12    114.671320         0.014658                  46.244256       44.380867   \n",
       "13    131.516142         0.018171                  51.914187       49.322093   \n",
       "14    169.490497         0.016030                  42.490946       40.168430   \n",
       "15    181.876909         0.020774                  57.874543       54.876242   \n",
       "16    119.037982         0.063965                  55.587196       53.930626   \n",
       "17    148.500930         0.021967                  53.052617       50.511255   \n",
       "18    176.077091         0.042266                  56.080548       53.198652   \n",
       "19    128.575299         0.039131                  56.171232       54.643980   \n",
       "20    127.619594         0.018554                  52.550904       50.474345   \n",
       "21    162.029369         0.016698                  47.306501       45.074723   \n",
       "\n",
       "    High Freq (kHz)  Delta Freq (kHz)  Frequency Standard Deviation (kHz)  \\\n",
       "0         48.139384          3.676634                            1.349396   \n",
       "1         50.418392          4.527514                            1.754080   \n",
       "2         53.704036          5.114889                            1.743511   \n",
       "3         51.379327          4.308648                            1.649169   \n",
       "4         56.333107          5.689119                            1.955957   \n",
       "5         52.211936          4.002807                            1.522286   \n",
       "6         49.947520          6.700812                            2.480573   \n",
       "7         47.060381          5.523369                            1.866750   \n",
       "8         53.564244          5.837350                            2.082985   \n",
       "9         57.828035          5.313471                            1.925019   \n",
       "10        53.193569          5.451836                            1.944152   \n",
       "11        46.394522          4.245600                            1.557355   \n",
       "12        48.605828          4.224960                            1.481552   \n",
       "13        54.701683          5.379590                            1.910495   \n",
       "14        44.561090          4.392660                            1.707889   \n",
       "15        59.892630          5.016388                            1.819791   \n",
       "16        57.646955          3.716329                            0.997689   \n",
       "17        54.691632          4.180377                            1.549548   \n",
       "18        58.522504          5.323853                            1.657511   \n",
       "19        57.431877          2.787897                            0.854432   \n",
       "20        55.381802          4.907457                            1.600194   \n",
       "21        50.212721          5.137998                            1.718136   \n",
       "\n",
       "    Slope (kHz/s)  Sinuosity  Mean Power (dB/Hz)  Tonality  Peak Freq (kHz)  \n",
       "0       36.881098   1.971086         -101.104454  0.230393        45.320823  \n",
       "1      -53.759021   1.937255         -100.658834  0.228743        48.452831  \n",
       "2      198.257281   1.868485          -90.859670  0.348303        51.829625  \n",
       "3      180.179915   1.606454          -99.326762  0.256969        49.446130  \n",
       "4     -262.821247   2.135619          -96.020067  0.249720        53.692649  \n",
       "5      -49.934245   1.777586         -103.691825  0.210181        49.922998  \n",
       "6      -36.335461   2.016986          -93.886865  0.267608        45.147337  \n",
       "7       18.841323   1.517458          -92.651638  0.365961        44.849238  \n",
       "8      -27.227360   2.115055          -94.721274  0.294049        49.878573  \n",
       "9      -24.891398   1.870378          -98.819318  0.227182        55.554714  \n",
       "10     -96.358501   1.868705          -91.165280  0.356547        51.070558  \n",
       "11     -52.535901   1.408195         -100.446680  0.231538        44.180600  \n",
       "12      12.971220   1.819070          -96.155863  0.268943        45.785299  \n",
       "13      95.092663   2.004685          -97.397683  0.248092        50.935270  \n",
       "14      19.325899   1.882358         -101.113663  0.228457        41.796350  \n",
       "15     141.641756   1.694530         -100.700899  0.239560        57.383347  \n",
       "16      31.903849   1.522251          -85.251802  0.517456        55.782316  \n",
       "17      69.542489   1.548977          -98.745864  0.282095        53.892625  \n",
       "18       8.501110   1.486056          -80.401871  0.592587        56.388327  \n",
       "19     -15.628488   1.472979          -87.972616  0.472693        56.411122  \n",
       "20    -167.430298   1.663343          -93.474704  0.307113        52.729081  \n",
       "21    -136.146255   2.005266          -98.315028  0.253978        46.892822  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pup_df_rat_avg = pup_df.groupby(['Rat','Genotype','Timepoint']).mean()\n",
    "pup_df_rat_avg = pup_df_rat_avg.reset_index()\n",
    "pup_df_rat_avg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28b67ed3",
   "metadata": {},
   "source": [
    "### Call number graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e2589a8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Average Call Number p3')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# graph male genotype differences in average call number\n",
    "\n",
    "sns.barplot(data = pup_df_g,x = 'Genotype',y='File',hue='Timepoint', hue_order = ['iso1', 'iso2'],order = ['WT','KO'],palette='coolwarm')\n",
    "plt.ylabel('Avg Call Number')\n",
    "plt.xlabel('Genotype')\n",
    "plt.title('Average Call Number p3')   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5e74de33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Genotype</th>\n",
       "      <th>Timepoint</th>\n",
       "      <th>Minute</th>\n",
       "      <th>File</th>\n",
       "      <th>ID</th>\n",
       "      <th>Label</th>\n",
       "      <th>Accepted</th>\n",
       "      <th>Score</th>\n",
       "      <th>Begin Time (s)</th>\n",
       "      <th>End Time (s)</th>\n",
       "      <th>...</th>\n",
       "      <th>Low Freq (kHz)</th>\n",
       "      <th>High Freq (kHz)</th>\n",
       "      <th>Delta Freq (kHz)</th>\n",
       "      <th>Frequency Standard Deviation (kHz)</th>\n",
       "      <th>Slope (kHz/s)</th>\n",
       "      <th>Sinuosity</th>\n",
       "      <th>Mean Power (dB/Hz)</th>\n",
       "      <th>Tonality</th>\n",
       "      <th>Peak Freq (kHz)</th>\n",
       "      <th>Rat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>...</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>...</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>...</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>KO</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>...</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>...</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Genotype Timepoint  Minute  File   ID  Label  Accepted  Score  \\\n",
       "0        KO      iso1     1.0     6    6      6         6      6   \n",
       "1        KO      iso1     2.0    47   47     47        47     47   \n",
       "2        KO      iso1     3.0    82   82     82        82     82   \n",
       "3        KO      iso1     4.0   210  210    210       210    210   \n",
       "4        KO      iso2     1.0    19   19     19        19     19   \n",
       "5        KO      iso2     2.0    13   13     13        13     13   \n",
       "6        KO      iso2     3.0    23   23     23        23     23   \n",
       "7        KO      iso2     4.0    65   65     65        65     65   \n",
       "8        WT      iso1     1.0    27   27     27        27     27   \n",
       "9        WT      iso1     2.0     5    5      5         5      5   \n",
       "10       WT      iso1     3.0    27   27     27        27     27   \n",
       "11       WT      iso1     4.0    53   53     53        53     53   \n",
       "12       WT      iso2     1.0     5    5      5         5      5   \n",
       "13       WT      iso2     2.0     9    9      9         9      9   \n",
       "14       WT      iso2     3.0    12   12     12        12     12   \n",
       "15       WT      iso2     4.0    24   24     24        24     24   \n",
       "\n",
       "    Begin Time (s)  End Time (s)  ...  Low Freq (kHz)  High Freq (kHz)  \\\n",
       "0                6             6  ...               6                6   \n",
       "1               47            47  ...              47               47   \n",
       "2               82            82  ...              82               82   \n",
       "3              210           210  ...             210              210   \n",
       "4               19            19  ...              19               19   \n",
       "5               13            13  ...              13               13   \n",
       "6               23            23  ...              23               23   \n",
       "7               65            65  ...              65               65   \n",
       "8               27            27  ...              27               27   \n",
       "9                5             5  ...               5                5   \n",
       "10              27            27  ...              27               27   \n",
       "11              53            53  ...              53               53   \n",
       "12               5             5  ...               5                5   \n",
       "13               9             9  ...               9                9   \n",
       "14              12            12  ...              12               12   \n",
       "15              24            24  ...              24               24   \n",
       "\n",
       "    Delta Freq (kHz)  Frequency Standard Deviation (kHz)  Slope (kHz/s)  \\\n",
       "0                  6                                   6              6   \n",
       "1                 47                                  47             47   \n",
       "2                 82                                  82             82   \n",
       "3                210                                 210            210   \n",
       "4                 19                                  19             19   \n",
       "5                 13                                  13             13   \n",
       "6                 23                                  23             23   \n",
       "7                 65                                  65             65   \n",
       "8                 27                                  27             27   \n",
       "9                  5                                   5              5   \n",
       "10                27                                  27             27   \n",
       "11                53                                  53             53   \n",
       "12                 5                                   5              5   \n",
       "13                 9                                   9              9   \n",
       "14                12                                  12             12   \n",
       "15                24                                  24             24   \n",
       "\n",
       "    Sinuosity  Mean Power (dB/Hz)  Tonality  Peak Freq (kHz)  Rat  \n",
       "0           6                   6         6                6    6  \n",
       "1          47                  47        47               47   47  \n",
       "2          82                  82        82               82   82  \n",
       "3         210                 210       210              210  210  \n",
       "4          19                  19        19               19   19  \n",
       "5          13                  13        13               13   13  \n",
       "6          23                  23        23               23   23  \n",
       "7          65                  65        65               65   65  \n",
       "8          27                  27        27               27   27  \n",
       "9           5                   5         5                5    5  \n",
       "10         27                  27        27               27   27  \n",
       "11         53                  53        53               53   53  \n",
       "12          5                   5         5                5    5  \n",
       "13          9                   9         9                9    9  \n",
       "14         12                  12        12               12   12  \n",
       "15         24                  24        24               24   24  \n",
       "\n",
       "[16 rows x 22 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# graph male genotype differences in call number over time\n",
    "first_min_ind = pup_df.index[(pup_df['Begin Time (s)'] >= 0) & (pup_df['Begin Time (s)'] <= 60)] #get indexes from time range\n",
    "pup_df.loc[first_min_ind, 'Minute'] = 1 # add label for graphing to indicate timepoint\n",
    "\n",
    "sec_min_ind = pup_df.index[(pup_df['Begin Time (s)'] >= 61) & (pup_df['Begin Time (s)'] <= 120)]\n",
    "pup_df.loc[sec_min_ind, 'Minute'] = 2\n",
    "\n",
    "thrd_min_ind = pup_df.index[(pup_df['Begin Time (s)'] >= 121) & (pup_df['Begin Time (s)'] <= 180)]\n",
    "pup_df.loc[thrd_min_ind, 'Minute'] = 3\n",
    "\n",
    "four_min_ind = pup_df.index[(pup_df['Begin Time (s)'] >= 181) & (pup_df['Begin Time (s)'] <= 300)]\n",
    "pup_df.loc[four_min_ind, 'Minute'] = 4\n",
    "\n",
    "pup_df_min_g = pup_df.groupby(['Genotype','Timepoint','Minute']).count() # count number of calls per minute\n",
    "pup_df_min_g = pup_df_min_g.reset_index() # adds indices back to columns for graphing\n",
    "pup_df_min_g\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "08bce15f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Call per Minute Male')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cont\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=pup_df_min_g,x='Minute',y='ID',hue='Genotype',style='Timepoint',hue_order=['KO','WT'])\n",
    "plt.ylabel('Avg Call per Minute')\n",
    "plt.xlabel('Minute')\n",
    "plt.title('Avg Call per Minute Male') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "415ffd44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Call per Minute 1st Isolation')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# graph just pre-mom\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "test = pup_df_min_g.loc[pup_df_min_g['Timepoint'] == 'iso1']\n",
    "sns.lineplot(data=test,x='Minute',y='ID',hue='Genotype')\n",
    "plt.ylabel('Avg Call per Minute')\n",
    "plt.xlabel('Minute')\n",
    "plt.title('Avg Call per Minute 1st Isolation') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "99fcdb3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Call per Minute 2nd Isolation')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# graph just post-mom\n",
    "test = pup_df_min_g.loc[pup_df_min_g['Timepoint'] == 'iso2']\n",
    "sns.lineplot(data=test,x='Minute',y='ID',hue='Genotype')\n",
    "plt.ylabel('Avg Call per Minute')\n",
    "plt.xlabel('Minute')\n",
    "plt.title('Avg Call per Minute 2nd Isolation') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb903142",
   "metadata": {},
   "source": [
    "# Duration Comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1218832f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Duration')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Call Length (s)',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Duration') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e6ee92d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Duration per Minute')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# duration over time both\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=test,x='Minute',y='Call Length (s)',hue='Genotype',style='Timepoint')\n",
    "plt.title('Avg Duration per Minute') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbc83d8c",
   "metadata": {},
   "source": [
    "# Principal Freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "22e3fe3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>File</th>\n",
       "      <th>ID</th>\n",
       "      <th>Label</th>\n",
       "      <th>Accepted</th>\n",
       "      <th>Score</th>\n",
       "      <th>Begin Time (s)</th>\n",
       "      <th>End Time (s)</th>\n",
       "      <th>Call Length (s)</th>\n",
       "      <th>Principal Frequency (kHz)</th>\n",
       "      <th>...</th>\n",
       "      <th>Frequency Standard Deviation (kHz)</th>\n",
       "      <th>Slope (kHz/s)</th>\n",
       "      <th>Sinuosity</th>\n",
       "      <th>Mean Power (dB/Hz)</th>\n",
       "      <th>Tonality</th>\n",
       "      <th>Peak Freq (kHz)</th>\n",
       "      <th>Genotype</th>\n",
       "      <th>Rat</th>\n",
       "      <th>Timepoint</th>\n",
       "      <th>Minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>1</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.713953</td>\n",
       "      <td>23.197377</td>\n",
       "      <td>23.209553</td>\n",
       "      <td>0.012176</td>\n",
       "      <td>43.971920</td>\n",
       "      <td>...</td>\n",
       "      <td>4.120947</td>\n",
       "      <td>652.764650</td>\n",
       "      <td>3.291793</td>\n",
       "      <td>-87.460765</td>\n",
       "      <td>0.327004</td>\n",
       "      <td>43.355978</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
       "      <td>iso1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>2</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.549356</td>\n",
       "      <td>34.503751</td>\n",
       "      <td>34.507727</td>\n",
       "      <td>0.003976</td>\n",
       "      <td>48.625000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.274755</td>\n",
       "      <td>-704.142012</td>\n",
       "      <td>1.254464</td>\n",
       "      <td>-94.324330</td>\n",
       "      <td>0.243807</td>\n",
       "      <td>48.125000</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
       "      <td>iso1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>3</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.821904</td>\n",
       "      <td>35.894499</td>\n",
       "      <td>35.904440</td>\n",
       "      <td>0.009941</td>\n",
       "      <td>53.074905</td>\n",
       "      <td>...</td>\n",
       "      <td>1.792516</td>\n",
       "      <td>-471.804766</td>\n",
       "      <td>1.916897</td>\n",
       "      <td>-84.269206</td>\n",
       "      <td>0.362974</td>\n",
       "      <td>55.670324</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>4</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.616676</td>\n",
       "      <td>46.401397</td>\n",
       "      <td>46.422632</td>\n",
       "      <td>0.021235</td>\n",
       "      <td>48.067736</td>\n",
       "      <td>...</td>\n",
       "      <td>0.802282</td>\n",
       "      <td>83.618077</td>\n",
       "      <td>1.285467</td>\n",
       "      <td>-93.533596</td>\n",
       "      <td>0.268260</td>\n",
       "      <td>48.067736</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>5</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.534498</td>\n",
       "      <td>47.289556</td>\n",
       "      <td>47.321114</td>\n",
       "      <td>0.031559</td>\n",
       "      <td>38.160473</td>\n",
       "      <td>...</td>\n",
       "      <td>1.650525</td>\n",
       "      <td>-10.957306</td>\n",
       "      <td>1.342536</td>\n",
       "      <td>-103.678281</td>\n",
       "      <td>0.248350</td>\n",
       "      <td>38.160473</td>\n",
       "      <td>WT</td>\n",
       "      <td>581</td>\n",
       "      <td>iso1</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>162</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>7</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.510165</td>\n",
       "      <td>262.427458</td>\n",
       "      <td>262.451428</td>\n",
       "      <td>0.023971</td>\n",
       "      <td>52.294862</td>\n",
       "      <td>...</td>\n",
       "      <td>3.372815</td>\n",
       "      <td>379.974859</td>\n",
       "      <td>2.118734</td>\n",
       "      <td>-81.808928</td>\n",
       "      <td>0.363738</td>\n",
       "      <td>57.509586</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>163</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>8</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.599161</td>\n",
       "      <td>276.125052</td>\n",
       "      <td>276.137076</td>\n",
       "      <td>0.012024</td>\n",
       "      <td>42.633929</td>\n",
       "      <td>...</td>\n",
       "      <td>1.767577</td>\n",
       "      <td>-350.606625</td>\n",
       "      <td>1.499081</td>\n",
       "      <td>-92.748030</td>\n",
       "      <td>0.331782</td>\n",
       "      <td>44.079507</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>164</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>9</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.801063</td>\n",
       "      <td>281.597402</td>\n",
       "      <td>281.609867</td>\n",
       "      <td>0.012465</td>\n",
       "      <td>41.227134</td>\n",
       "      <td>...</td>\n",
       "      <td>0.913195</td>\n",
       "      <td>-119.990364</td>\n",
       "      <td>2.047019</td>\n",
       "      <td>-93.415067</td>\n",
       "      <td>0.274236</td>\n",
       "      <td>42.263720</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>165</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>10</td>\n",
       "      <td>Short</td>\n",
       "      <td>True</td>\n",
       "      <td>0.507565</td>\n",
       "      <td>297.171775</td>\n",
       "      <td>297.191657</td>\n",
       "      <td>0.019882</td>\n",
       "      <td>60.464127</td>\n",
       "      <td>...</td>\n",
       "      <td>2.564596</td>\n",
       "      <td>-204.762765</td>\n",
       "      <td>1.927784</td>\n",
       "      <td>-103.334578</td>\n",
       "      <td>0.186174</td>\n",
       "      <td>60.464127</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>166</td>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>11</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.510730</td>\n",
       "      <td>298.180933</td>\n",
       "      <td>298.199097</td>\n",
       "      <td>0.018165</td>\n",
       "      <td>62.442010</td>\n",
       "      <td>...</td>\n",
       "      <td>1.685575</td>\n",
       "      <td>-202.523763</td>\n",
       "      <td>1.255530</td>\n",
       "      <td>-102.048358</td>\n",
       "      <td>0.240961</td>\n",
       "      <td>62.880155</td>\n",
       "      <td>KO</td>\n",
       "      <td>568</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>630 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     index                                               File  ID  Label  \\\n",
       "0        0  D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   1    Usv   \n",
       "1        1  D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   2    Usv   \n",
       "2        2  D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   3    Usv   \n",
       "3        3  D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   4    Usv   \n",
       "4        4  D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   5    Usv   \n",
       "..     ...                                                ...  ..    ...   \n",
       "625    162  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   7    Usv   \n",
       "626    163  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   8    Usv   \n",
       "627    164  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   9    Usv   \n",
       "628    165  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...  10  Short   \n",
       "629    166  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...  11    Usv   \n",
       "\n",
       "     Accepted     Score  Begin Time (s)  End Time (s)  Call Length (s)  \\\n",
       "0        True  0.713953       23.197377     23.209553         0.012176   \n",
       "1        True  0.549356       34.503751     34.507727         0.003976   \n",
       "2        True  0.821904       35.894499     35.904440         0.009941   \n",
       "3        True  0.616676       46.401397     46.422632         0.021235   \n",
       "4        True  0.534498       47.289556     47.321114         0.031559   \n",
       "..        ...       ...             ...           ...              ...   \n",
       "625      True  0.510165      262.427458    262.451428         0.023971   \n",
       "626      True  0.599161      276.125052    276.137076         0.012024   \n",
       "627      True  0.801063      281.597402    281.609867         0.012465   \n",
       "628      True  0.507565      297.171775    297.191657         0.019882   \n",
       "629      True  0.510730      298.180933    298.199097         0.018165   \n",
       "\n",
       "     Principal Frequency (kHz)  ...  Frequency Standard Deviation (kHz)  \\\n",
       "0                    43.971920  ...                            4.120947   \n",
       "1                    48.625000  ...                            1.274755   \n",
       "2                    53.074905  ...                            1.792516   \n",
       "3                    48.067736  ...                            0.802282   \n",
       "4                    38.160473  ...                            1.650525   \n",
       "..                         ...  ...                                 ...   \n",
       "625                  52.294862  ...                            3.372815   \n",
       "626                  42.633929  ...                            1.767577   \n",
       "627                  41.227134  ...                            0.913195   \n",
       "628                  60.464127  ...                            2.564596   \n",
       "629                  62.442010  ...                            1.685575   \n",
       "\n",
       "     Slope (kHz/s)  Sinuosity  Mean Power (dB/Hz)  Tonality  Peak Freq (kHz)  \\\n",
       "0       652.764650   3.291793          -87.460765  0.327004        43.355978   \n",
       "1      -704.142012   1.254464          -94.324330  0.243807        48.125000   \n",
       "2      -471.804766   1.916897          -84.269206  0.362974        55.670324   \n",
       "3        83.618077   1.285467          -93.533596  0.268260        48.067736   \n",
       "4       -10.957306   1.342536         -103.678281  0.248350        38.160473   \n",
       "..             ...        ...                 ...       ...              ...   \n",
       "625     379.974859   2.118734          -81.808928  0.363738        57.509586   \n",
       "626    -350.606625   1.499081          -92.748030  0.331782        44.079507   \n",
       "627    -119.990364   2.047019          -93.415067  0.274236        42.263720   \n",
       "628    -204.762765   1.927784         -103.334578  0.186174        60.464127   \n",
       "629    -202.523763   1.255530         -102.048358  0.240961        62.880155   \n",
       "\n",
       "     Genotype  Rat  Timepoint Minute  \n",
       "0          WT  581       iso1    1.0  \n",
       "1          WT  581       iso1    1.0  \n",
       "2          WT  581       iso1    2.0  \n",
       "3          WT  581       iso1    2.0  \n",
       "4          WT  581       iso1    3.0  \n",
       "..        ...  ...        ...    ...  \n",
       "625        KO  568       iso2    4.0  \n",
       "626        KO  568       iso2    4.0  \n",
       "627        KO  568       iso2    4.0  \n",
       "628        KO  568       iso2    4.0  \n",
       "629        KO  568       iso2    4.0  \n",
       "\n",
       "[630 rows x 23 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pup_df\n",
    "test = pup_df.reset_index()\n",
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "19868434",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Principal Frequency')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Principal Frequency (kHz)',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Principal Frequency') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec0b0818",
   "metadata": {},
   "source": [
    "# Slope Comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "4f00f3da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Slope')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Slope (kHz/s)',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Slope') \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ad81f332",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Slope per Minute')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# duration over time both sexes\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=test,x='Minute',y='Slope (kHz/s)',hue='Genotype',style='Timepoint')\n",
    "plt.title('Avg Slope per Minute') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7eb66da",
   "metadata": {},
   "source": [
    "# Delta Frequency \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "48e45da3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Delta Frequency')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Delta Freq (kHz)',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Delta Frequency') \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "592c2f1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Delta Frequency per Minute')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# duration over time both sexes\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=test,x='Minute',y='Delta Freq (kHz)',hue='Genotype',style='Timepoint')\n",
    "plt.title('Avg Delta Frequency per Minute') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "830f8d16",
   "metadata": {},
   "source": [
    "# Sinusoity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a8259223",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Sinuosity Frequency')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Sinuosity',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Sinuosity Frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0ac43a19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Sinuosity per Minute')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# duration over time both sexes\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=test,x='Minute',y='Sinuosity',hue='Genotype',style='Timepoint')\n",
    "plt.title('Avg Sinuosity per Minute') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08c1643e",
   "metadata": {},
   "source": [
    "# Mean Power\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "052cd201",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Mean Power (dB/Hz)')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Mean Power (dB/Hz)',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Mean Power (dB/Hz)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "282c8e42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Mean Power per Minute')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# duration over time both sexes\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=test,x='Minute',y='Mean Power (dB/Hz)',hue='Genotype',style='Timepoint')\n",
    "plt.title('Avg Mean Power per Minute') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa3a679a",
   "metadata": {},
   "source": [
    "# Tonality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "13283577",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Tonality')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#both sexes\n",
    "sns.barplot(data=pup_df_rat_avg,x='Genotype',y='Tonality',hue='Timepoint',palette='coolwarm',order=['WT','KO'])\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.25, .8))\n",
    "plt.title('Avg Tonality')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "73c39b1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Avg Tonality per Minute')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# duration over time both sexes\n",
    "colors = [\"#89CFF0\", \"#000000\"]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "sns.lineplot(data=test,x='Minute',y='Tonality',hue='Genotype',style='Timepoint')\n",
    "plt.title('Avg Tonality per Minute') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8450ef9a",
   "metadata": {},
   "source": [
    "# Call Type Comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4b1b22a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>File</th>\n",
       "      <th>ID</th>\n",
       "      <th>Label</th>\n",
       "      <th>Accepted</th>\n",
       "      <th>Score</th>\n",
       "      <th>Begin Time (s)</th>\n",
       "      <th>End Time (s)</th>\n",
       "      <th>Call Length (s)</th>\n",
       "      <th>Principal Frequency (kHz)</th>\n",
       "      <th>Low Freq (kHz)</th>\n",
       "      <th>...</th>\n",
       "      <th>Delta Freq (kHz)</th>\n",
       "      <th>Frequency Standard Deviation (kHz)</th>\n",
       "      <th>Slope (kHz/s)</th>\n",
       "      <th>Sinuosity</th>\n",
       "      <th>Mean Power (dB/Hz)</th>\n",
       "      <th>Tonality</th>\n",
       "      <th>Peak Freq (kHz)</th>\n",
       "      <th>Genotype</th>\n",
       "      <th>Timepoint</th>\n",
       "      <th>Minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>1</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.713953</td>\n",
       "      <td>23.197377</td>\n",
       "      <td>23.209553</td>\n",
       "      <td>0.012176</td>\n",
       "      <td>43.971920</td>\n",
       "      <td>40.892210</td>\n",
       "      <td>...</td>\n",
       "      <td>11.702899</td>\n",
       "      <td>4.120947</td>\n",
       "      <td>652.764650</td>\n",
       "      <td>3.291793</td>\n",
       "      <td>-87.460765</td>\n",
       "      <td>0.327004</td>\n",
       "      <td>43.355978</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>2</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.549356</td>\n",
       "      <td>34.503751</td>\n",
       "      <td>34.507727</td>\n",
       "      <td>0.003976</td>\n",
       "      <td>48.625000</td>\n",
       "      <td>47.125000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.274755</td>\n",
       "      <td>-704.142012</td>\n",
       "      <td>1.254464</td>\n",
       "      <td>-94.324330</td>\n",
       "      <td>0.243807</td>\n",
       "      <td>48.125000</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>3</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.821904</td>\n",
       "      <td>35.894499</td>\n",
       "      <td>35.904440</td>\n",
       "      <td>0.009941</td>\n",
       "      <td>53.074905</td>\n",
       "      <td>50.479485</td>\n",
       "      <td>...</td>\n",
       "      <td>5.190840</td>\n",
       "      <td>1.792516</td>\n",
       "      <td>-471.804766</td>\n",
       "      <td>1.916897</td>\n",
       "      <td>-84.269206</td>\n",
       "      <td>0.362974</td>\n",
       "      <td>55.670324</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>4</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.616676</td>\n",
       "      <td>46.401397</td>\n",
       "      <td>46.422632</td>\n",
       "      <td>0.021235</td>\n",
       "      <td>48.067736</td>\n",
       "      <td>46.732657</td>\n",
       "      <td>...</td>\n",
       "      <td>2.670157</td>\n",
       "      <td>0.802282</td>\n",
       "      <td>83.618077</td>\n",
       "      <td>1.285467</td>\n",
       "      <td>-93.533596</td>\n",
       "      <td>0.268260</td>\n",
       "      <td>48.067736</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...</td>\n",
       "      <td>5</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.534498</td>\n",
       "      <td>47.289556</td>\n",
       "      <td>47.321114</td>\n",
       "      <td>0.031559</td>\n",
       "      <td>38.160473</td>\n",
       "      <td>35.403716</td>\n",
       "      <td>...</td>\n",
       "      <td>5.054054</td>\n",
       "      <td>1.650525</td>\n",
       "      <td>-10.957306</td>\n",
       "      <td>1.342536</td>\n",
       "      <td>-103.678281</td>\n",
       "      <td>0.248350</td>\n",
       "      <td>38.160473</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>14</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.607556</td>\n",
       "      <td>276.523509</td>\n",
       "      <td>276.543309</td>\n",
       "      <td>0.019800</td>\n",
       "      <td>42.677450</td>\n",
       "      <td>41.396043</td>\n",
       "      <td>...</td>\n",
       "      <td>2.562814</td>\n",
       "      <td>0.955104</td>\n",
       "      <td>-30.882750</td>\n",
       "      <td>1.388864</td>\n",
       "      <td>-101.269461</td>\n",
       "      <td>0.254126</td>\n",
       "      <td>42.677450</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso2</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>1</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.517279</td>\n",
       "      <td>46.120931</td>\n",
       "      <td>46.141767</td>\n",
       "      <td>0.020835</td>\n",
       "      <td>32.945374</td>\n",
       "      <td>32.610728</td>\n",
       "      <td>...</td>\n",
       "      <td>1.003937</td>\n",
       "      <td>0.331644</td>\n",
       "      <td>-36.213525</td>\n",
       "      <td>1.051502</td>\n",
       "      <td>-107.362243</td>\n",
       "      <td>0.230142</td>\n",
       "      <td>32.945374</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>2</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.653165</td>\n",
       "      <td>104.292531</td>\n",
       "      <td>104.299360</td>\n",
       "      <td>0.006829</td>\n",
       "      <td>51.867733</td>\n",
       "      <td>51.867733</td>\n",
       "      <td>...</td>\n",
       "      <td>6.589147</td>\n",
       "      <td>2.565164</td>\n",
       "      <td>347.334896</td>\n",
       "      <td>3.354073</td>\n",
       "      <td>-88.846972</td>\n",
       "      <td>0.268898</td>\n",
       "      <td>51.867733</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>3</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.543368</td>\n",
       "      <td>240.628458</td>\n",
       "      <td>240.649105</td>\n",
       "      <td>0.020647</td>\n",
       "      <td>43.974359</td>\n",
       "      <td>41.976496</td>\n",
       "      <td>...</td>\n",
       "      <td>3.269231</td>\n",
       "      <td>1.132162</td>\n",
       "      <td>-71.913816</td>\n",
       "      <td>2.216418</td>\n",
       "      <td>-104.143321</td>\n",
       "      <td>0.212304</td>\n",
       "      <td>43.792735</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...</td>\n",
       "      <td>4</td>\n",
       "      <td>Usv</td>\n",
       "      <td>True</td>\n",
       "      <td>0.557661</td>\n",
       "      <td>275.492742</td>\n",
       "      <td>275.516036</td>\n",
       "      <td>0.023294</td>\n",
       "      <td>52.891018</td>\n",
       "      <td>51.396043</td>\n",
       "      <td>...</td>\n",
       "      <td>3.844221</td>\n",
       "      <td>1.368613</td>\n",
       "      <td>-91.683163</td>\n",
       "      <td>1.262350</td>\n",
       "      <td>-104.065282</td>\n",
       "      <td>0.210226</td>\n",
       "      <td>52.677450</td>\n",
       "      <td>WT</td>\n",
       "      <td>iso1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>162 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 File  ID Label  Accepted  \\\n",
       "0   D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   1   Usv      True   \n",
       "1   D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   2   Usv      True   \n",
       "2   D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   3   Usv      True   \n",
       "3   D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   4   Usv      True   \n",
       "4   D:\\Rat Pup call analysis\\litter le 16 fmr1\\p21...   5   Usv      True   \n",
       "..                                                ...  ..   ...       ...   \n",
       "13  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...  14   Usv      True   \n",
       "14  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   1   Usv      True   \n",
       "15  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   2   Usv      True   \n",
       "16  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   3   Usv      True   \n",
       "17  D:\\Rat Pup call analysis\\litter le15 fmr1\\p21\\...   4   Usv      True   \n",
       "\n",
       "       Score  Begin Time (s)  End Time (s)  Call Length (s)  \\\n",
       "0   0.713953       23.197377     23.209553         0.012176   \n",
       "1   0.549356       34.503751     34.507727         0.003976   \n",
       "2   0.821904       35.894499     35.904440         0.009941   \n",
       "3   0.616676       46.401397     46.422632         0.021235   \n",
       "4   0.534498       47.289556     47.321114         0.031559   \n",
       "..       ...             ...           ...              ...   \n",
       "13  0.607556      276.523509    276.543309         0.019800   \n",
       "14  0.517279       46.120931     46.141767         0.020835   \n",
       "15  0.653165      104.292531    104.299360         0.006829   \n",
       "16  0.543368      240.628458    240.649105         0.020647   \n",
       "17  0.557661      275.492742    275.516036         0.023294   \n",
       "\n",
       "    Principal Frequency (kHz)  Low Freq (kHz)  ...  Delta Freq (kHz)  \\\n",
       "0                   43.971920       40.892210  ...         11.702899   \n",
       "1                   48.625000       47.125000  ...          3.500000   \n",
       "2                   53.074905       50.479485  ...          5.190840   \n",
       "3                   48.067736       46.732657  ...          2.670157   \n",
       "4                   38.160473       35.403716  ...          5.054054   \n",
       "..                        ...             ...  ...               ...   \n",
       "13                  42.677450       41.396043  ...          2.562814   \n",
       "14                  32.945374       32.610728  ...          1.003937   \n",
       "15                  51.867733       51.867733  ...          6.589147   \n",
       "16                  43.974359       41.976496  ...          3.269231   \n",
       "17                  52.891018       51.396043  ...          3.844221   \n",
       "\n",
       "    Frequency Standard Deviation (kHz)  Slope (kHz/s)  Sinuosity  \\\n",
       "0                             4.120947     652.764650   3.291793   \n",
       "1                             1.274755    -704.142012   1.254464   \n",
       "2                             1.792516    -471.804766   1.916897   \n",
       "3                             0.802282      83.618077   1.285467   \n",
       "4                             1.650525     -10.957306   1.342536   \n",
       "..                                 ...            ...        ...   \n",
       "13                            0.955104     -30.882750   1.388864   \n",
       "14                            0.331644     -36.213525   1.051502   \n",
       "15                            2.565164     347.334896   3.354073   \n",
       "16                            1.132162     -71.913816   2.216418   \n",
       "17                            1.368613     -91.683163   1.262350   \n",
       "\n",
       "    Mean Power (dB/Hz)  Tonality  Peak Freq (kHz)  Genotype Timepoint Minute  \n",
       "0           -87.460765  0.327004        43.355978        WT      iso1    1.0  \n",
       "1           -94.324330  0.243807        48.125000        WT      iso1    1.0  \n",
       "2           -84.269206  0.362974        55.670324        WT      iso1    2.0  \n",
       "3           -93.533596  0.268260        48.067736        WT      iso1    2.0  \n",
       "4          -103.678281  0.248350        38.160473        WT      iso1    3.0  \n",
       "..                 ...       ...              ...       ...       ...    ...  \n",
       "13         -101.269461  0.254126        42.677450        WT      iso2    4.0  \n",
       "14         -107.362243  0.230142        32.945374        WT      iso1    3.0  \n",
       "15          -88.846972  0.268898        51.867733        WT      iso1    3.0  \n",
       "16         -104.143321  0.212304        43.792735        WT      iso1    4.0  \n",
       "17         -104.065282  0.210226        52.677450        WT      iso1    4.0  \n",
       "\n",
       "[162 rows x 21 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pie chart between wt and het\n",
    "KO_flat_df = pup_df.loc[pup_df['Genotype'] == 'KO']\n",
    "wt_flat_df = pup_df.loc[pup_df['Genotype'] == 'WT']\n",
    "wt_flat_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "752fe6ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wt_flat_df['Label'].value_counts(sort=False).plot.bar()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "8c23c080",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "KO_flat_df['Label'].value_counts(sort=False).plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d030a131",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}