LENA_viz.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiments with types of visualizations on LENA data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "import math\n",
    "import random\n",
    "import datetime\n",
    "import numpy as np\n",
    "from datetime import timedelta\n",
    "import os as os\n",
    "from pytz import timezone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "childid = '032LTP2'\n",
    "filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "man_timestamps_main = pd.read_csv(filepath_of_csv)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "man_timestamps_main['words_per_sec'] = man_timestamps_main['wordCount']/man_timestamps_main['duration']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       4.801325\n",
       "1       5.854701\n",
       "2       7.435644\n",
       "3       5.126316\n",
       "4       7.198020\n",
       "          ...   \n",
       "1512    2.084906\n",
       "1513    4.850877\n",
       "1514    3.857143\n",
       "1515    3.504348\n",
       "1516    4.038835\n",
       "Name: words_per_sec, Length: 1517, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "man_timestamps_main['words_per_sec'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "      <td>2</td>\n",
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       "      <td>192.76</td>\n",
       "      <td>194.66</td>\n",
       "      <td>1.90</td>\n",
       "      <td>-30.27</td>\n",
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       "      <td>198.09</td>\n",
       "      <td>199.10</td>\n",
       "      <td>1.01</td>\n",
       "      <td>-29.02</td>\n",
       "      <td>-20.63</td>\n",
       "      <td>7.27</td>\n",
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       "      <td>032LTP2</td>\n",
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       "      <th>1513</th>\n",
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       "      <td>1514</td>\n",
       "      <td>45326.16</td>\n",
       "      <td>45327.30</td>\n",
       "      <td>1.14</td>\n",
       "      <td>-33.43</td>\n",
       "      <td>-28.35</td>\n",
       "      <td>5.53</td>\n",
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       "      <td>46247.48</td>\n",
       "      <td>1.26</td>\n",
       "      <td>-40.36</td>\n",
       "      <td>-32.40</td>\n",
       "      <td>4.86</td>\n",
       "      <td>P0.00S</td>\n",
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       "      <td>032LTP2</td>\n",
       "      <td>MAN</td>\n",
       "      <td>1472</td>\n",
       "      <td>3.857143</td>\n",
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       "      <th>1515</th>\n",
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       "      <td>2.30</td>\n",
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       "      <td>-27.64</td>\n",
       "      <td>8.06</td>\n",
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       "      <td>0</td>\n",
       "      <td>P0.00S</td>\n",
       "      <td>46790_46793_MAN_032LTP2.wav</td>\n",
       "      <td>46800.0</td>\n",
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       "      <td>1292</td>\n",
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       "      <th>1516</th>\n",
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       "      <td>47514.38</td>\n",
       "      <td>47515.41</td>\n",
       "      <td>1.03</td>\n",
       "      <td>-37.65</td>\n",
       "      <td>-30.28</td>\n",
       "      <td>4.16</td>\n",
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       "      <td>47520.0</td>\n",
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       "      <td>MAN</td>\n",
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       "<p>1517 rows × 17 columns</p>\n",
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      "text/plain": [
       "      Unnamed: 0  seg_id  clip_onset  clip_offset  duration  avg_dB  peak_dB  \\\n",
       "0              0       1       16.88        18.39      1.51  -34.80   -25.78   \n",
       "1              1       2       54.35        55.52      1.17  -40.89   -32.53   \n",
       "2              2       3      170.29       171.30      1.01  -38.02   -30.02   \n",
       "3              3       4      192.76       194.66      1.90  -30.27   -22.73   \n",
       "4              4       5      198.09       199.10      1.01  -29.02   -20.63   \n",
       "...          ...     ...         ...          ...       ...     ...      ...   \n",
       "1512        1512    1513    45309.36     45310.42      1.06  -34.16   -27.06   \n",
       "1513        1513    1514    45326.16     45327.30      1.14  -33.43   -28.35   \n",
       "1514        1514    1515    46246.22     46247.48      1.26  -40.36   -32.40   \n",
       "1515        1515    1516    46790.98     46793.28      2.30  -36.41   -27.64   \n",
       "1516        1516    1517    47514.38     47515.41      1.03  -37.65   -30.28   \n",
       "\n",
       "      wordCount nonSpeechDur  uttCnt uttLength                    file_name  \\\n",
       "0          7.25       P0.00S       0    P0.00S        16_18_MAN_032LTP2.wav   \n",
       "1          6.85       P0.00S       0    P0.00S        54_55_MAN_032LTP2.wav   \n",
       "2          7.51       P0.00S       0    P0.00S      170_171_MAN_032LTP2.wav   \n",
       "3          9.74       P0.00S       0    P0.00S      192_194_MAN_032LTP2.wav   \n",
       "4          7.27       P0.00S       0    P0.00S      198_199_MAN_032LTP2.wav   \n",
       "...         ...          ...     ...       ...                          ...   \n",
       "1512       2.21       P0.00S       0    P0.00S  45309_45310_MAN_032LTP2.wav   \n",
       "1513       5.53       P0.00S       0    P0.00S  45326_45327_MAN_032LTP2.wav   \n",
       "1514       4.86       P0.00S       0    P0.00S  46246_46247_MAN_032LTP2.wav   \n",
       "1515       8.06       P0.00S       0    P0.00S  46790_46793_MAN_032LTP2.wav   \n",
       "1516       4.16       P0.00S       0    P0.00S  47514_47515_MAN_032LTP2.wav   \n",
       "\n",
       "      seconds child_id segment_type  random_idx  words_per_sec  \n",
       "0        60.0  032LTP2          MAN         927       4.801325  \n",
       "1        60.0  032LTP2          MAN        1488       5.854701  \n",
       "2       180.0  032LTP2          MAN         112       7.435644  \n",
       "3       240.0  032LTP2          MAN         222       5.126316  \n",
       "4       240.0  032LTP2          MAN         686       7.198020  \n",
       "...       ...      ...          ...         ...            ...  \n",
       "1512  45360.0  032LTP2          MAN        1175       2.084906  \n",
       "1513  45360.0  032LTP2          MAN         433       4.850877  \n",
       "1514  46260.0  032LTP2          MAN        1472       3.857143  \n",
       "1515  46800.0  032LTP2          MAN        1292       3.504348  \n",
       "1516  47520.0  032LTP2          MAN         943       4.038835  \n",
       "\n",
       "[1517 rows x 17 columns]"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "man_timestamps_main "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternate strategy: Aggregate the whole df into 20 bins (in chronological order) and then take talking speed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "man_timestamps1 = man_timestamps_main\n",
    "man_timestamps1['value_bin']=pd.cut(man_timestamps_main['clip_offset'], 20, labels=[x for x in range(1,21)])\n",
    "man_timestamps1['freq_bin']=pd.qcut(man_timestamps_main['clip_offset'], 20, labels=[x for x in range(1,21)])  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vbin_df = man_timestamps1.groupby('value_bin').agg('sum')\n",
    "fbin_df = man_timestamps1.groupby('freq_bin').agg('sum')\n",
    "vbin_df['wps'] = vbin_df['wordCount']/vbin_df['duration']\n",
    "fbin_df['wps'] = fbin_df['wordCount']/fbin_df['duration']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
       "      <td>703</td>\n",
       "      <td>741</td>\n",
       "      <td>59176.71</td>\n",
       "      <td>59227.59</td>\n",
       "      <td>50.88</td>\n",
       "      <td>-1260.77</td>\n",
       "      <td>-939.51</td>\n",
       "      <td>244.61</td>\n",
       "      <td>0</td>\n",
       "      <td>60360.0</td>\n",
       "      <td>26617</td>\n",
       "      <td>186.547506</td>\n",
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       "      <th>2</th>\n",
       "      <td>893</td>\n",
       "      <td>912</td>\n",
       "      <td>61640.68</td>\n",
       "      <td>61664.93</td>\n",
       "      <td>24.25</td>\n",
       "      <td>-622.79</td>\n",
       "      <td>-458.21</td>\n",
       "      <td>100.88</td>\n",
       "      <td>0</td>\n",
       "      <td>62160.0</td>\n",
       "      <td>15790</td>\n",
       "      <td>79.216842</td>\n",
       "      <td>4.160000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>737976.59</td>\n",
       "      <td>189.16</td>\n",
       "      <td>-3851.75</td>\n",
       "      <td>-2789.62</td>\n",
       "      <td>776.58</td>\n",
       "      <td>0</td>\n",
       "      <td>741420.0</td>\n",
       "      <td>88610</td>\n",
       "      <td>499.182649</td>\n",
       "      <td>4.105413</td>\n",
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       "      <th>4</th>\n",
       "      <td>29845</td>\n",
       "      <td>29972</td>\n",
       "      <td>1073965.92</td>\n",
       "      <td>1074153.93</td>\n",
       "      <td>188.01</td>\n",
       "      <td>-3518.53</td>\n",
       "      <td>-2474.39</td>\n",
       "      <td>780.92</td>\n",
       "      <td>0</td>\n",
       "      <td>1078020.0</td>\n",
       "      <td>93601</td>\n",
       "      <td>546.625125</td>\n",
       "      <td>4.153609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27080</td>\n",
       "      <td>27160</td>\n",
       "      <td>881309.09</td>\n",
       "      <td>881431.68</td>\n",
       "      <td>122.59</td>\n",
       "      <td>-2154.64</td>\n",
       "      <td>-1526.68</td>\n",
       "      <td>485.23</td>\n",
       "      <td>0</td>\n",
       "      <td>883740.0</td>\n",
       "      <td>62911</td>\n",
       "      <td>312.633651</td>\n",
       "      <td>3.958153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>86010</td>\n",
       "      <td>86193</td>\n",
       "      <td>2359213.46</td>\n",
       "      <td>2359504.49</td>\n",
       "      <td>291.03</td>\n",
       "      <td>-5058.00</td>\n",
       "      <td>-3552.07</td>\n",
       "      <td>1187.64</td>\n",
       "      <td>0</td>\n",
       "      <td>2364900.0</td>\n",
       "      <td>139358</td>\n",
       "      <td>757.986551</td>\n",
       "      <td>4.080816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>126994</td>\n",
       "      <td>127187</td>\n",
       "      <td>3052709.31</td>\n",
       "      <td>3053009.55</td>\n",
       "      <td>300.24</td>\n",
       "      <td>-5331.44</td>\n",
       "      <td>-3699.51</td>\n",
       "      <td>1196.90</td>\n",
       "      <td>0</td>\n",
       "      <td>3058800.0</td>\n",
       "      <td>142670</td>\n",
       "      <td>779.135098</td>\n",
       "      <td>3.986477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>116325</td>\n",
       "      <td>116466</td>\n",
       "      <td>2478866.35</td>\n",
       "      <td>2479058.70</td>\n",
       "      <td>192.35</td>\n",
       "      <td>-4329.29</td>\n",
       "      <td>-3063.08</td>\n",
       "      <td>759.98</td>\n",
       "      <td>0</td>\n",
       "      <td>2483460.0</td>\n",
       "      <td>101191</td>\n",
       "      <td>567.046234</td>\n",
       "      <td>3.951027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6293</td>\n",
       "      <td>6300</td>\n",
       "      <td>137109.84</td>\n",
       "      <td>137118.83</td>\n",
       "      <td>8.99</td>\n",
       "      <td>-227.35</td>\n",
       "      <td>-158.76</td>\n",
       "      <td>36.24</td>\n",
       "      <td>0</td>\n",
       "      <td>137280.0</td>\n",
       "      <td>7380</td>\n",
       "      <td>28.578216</td>\n",
       "      <td>4.031146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>30327</td>\n",
       "      <td>30360</td>\n",
       "      <td>732410.42</td>\n",
       "      <td>732469.26</td>\n",
       "      <td>58.84</td>\n",
       "      <td>-1251.11</td>\n",
       "      <td>-983.09</td>\n",
       "      <td>245.62</td>\n",
       "      <td>0</td>\n",
       "      <td>733440.0</td>\n",
       "      <td>23179</td>\n",
       "      <td>144.752528</td>\n",
       "      <td>4.174371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20823</td>\n",
       "      <td>20845</td>\n",
       "      <td>606009.69</td>\n",
       "      <td>606038.31</td>\n",
       "      <td>28.62</td>\n",
       "      <td>-663.29</td>\n",
       "      <td>-483.94</td>\n",
       "      <td>147.69</td>\n",
       "      <td>0</td>\n",
       "      <td>606660.0</td>\n",
       "      <td>14956</td>\n",
       "      <td>117.535257</td>\n",
       "      <td>5.160377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77727</td>\n",
       "      <td>77805</td>\n",
       "      <td>2323303.88</td>\n",
       "      <td>2323395.82</td>\n",
       "      <td>91.94</td>\n",
       "      <td>-2022.42</td>\n",
       "      <td>-1445.58</td>\n",
       "      <td>442.81</td>\n",
       "      <td>0</td>\n",
       "      <td>2326020.0</td>\n",
       "      <td>59795</td>\n",
       "      <td>378.773687</td>\n",
       "      <td>4.816293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>68320</td>\n",
       "      <td>68384</td>\n",
       "      <td>2039925.10</td>\n",
       "      <td>2040009.42</td>\n",
       "      <td>84.32</td>\n",
       "      <td>-1448.59</td>\n",
       "      <td>-964.01</td>\n",
       "      <td>398.26</td>\n",
       "      <td>0</td>\n",
       "      <td>2042100.0</td>\n",
       "      <td>51454</td>\n",
       "      <td>307.403693</td>\n",
       "      <td>4.723197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>70091</td>\n",
       "      <td>70153</td>\n",
       "      <td>2137408.61</td>\n",
       "      <td>2137505.70</td>\n",
       "      <td>97.09</td>\n",
       "      <td>-1867.90</td>\n",
       "      <td>-1398.82</td>\n",
       "      <td>401.99</td>\n",
       "      <td>0</td>\n",
       "      <td>2139180.0</td>\n",
       "      <td>50920</td>\n",
       "      <td>259.754800</td>\n",
       "      <td>4.140385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>30537</td>\n",
       "      <td>30563</td>\n",
       "      <td>974239.42</td>\n",
       "      <td>974273.52</td>\n",
       "      <td>34.10</td>\n",
       "      <td>-812.58</td>\n",
       "      <td>-587.60</td>\n",
       "      <td>142.50</td>\n",
       "      <td>0</td>\n",
       "      <td>975120.0</td>\n",
       "      <td>19937</td>\n",
       "      <td>108.888198</td>\n",
       "      <td>4.178886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>86833</td>\n",
       "      <td>86904</td>\n",
       "      <td>2760430.84</td>\n",
       "      <td>2760533.14</td>\n",
       "      <td>102.30</td>\n",
       "      <td>-2162.28</td>\n",
       "      <td>-1605.09</td>\n",
       "      <td>440.50</td>\n",
       "      <td>0</td>\n",
       "      <td>2762580.0</td>\n",
       "      <td>56737</td>\n",
       "      <td>313.352004</td>\n",
       "      <td>4.305963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>140384</td>\n",
       "      <td>140491</td>\n",
       "      <td>4476186.77</td>\n",
       "      <td>4476335.16</td>\n",
       "      <td>148.39</td>\n",
       "      <td>-3927.20</td>\n",
       "      <td>-2931.74</td>\n",
       "      <td>644.52</td>\n",
       "      <td>0</td>\n",
       "      <td>4479720.0</td>\n",
       "      <td>83251</td>\n",
       "      <td>467.554700</td>\n",
       "      <td>4.343419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>208510</td>\n",
       "      <td>208655</td>\n",
       "      <td>6384624.49</td>\n",
       "      <td>6384824.38</td>\n",
       "      <td>199.89</td>\n",
       "      <td>-4111.30</td>\n",
       "      <td>-2874.52</td>\n",
       "      <td>847.87</td>\n",
       "      <td>0</td>\n",
       "      <td>6388920.0</td>\n",
       "      <td>104833</td>\n",
       "      <td>625.744428</td>\n",
       "      <td>4.241683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9081</td>\n",
       "      <td>9087</td>\n",
       "      <td>276474.68</td>\n",
       "      <td>276482.63</td>\n",
       "      <td>7.95</td>\n",
       "      <td>-215.02</td>\n",
       "      <td>-171.66</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0</td>\n",
       "      <td>276600.0</td>\n",
       "      <td>6696</td>\n",
       "      <td>22.793005</td>\n",
       "      <td>3.772327</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Unnamed: 0  seg_id  clip_onset  clip_offset  duration   avg_dB  \\\n",
       "value_bin                                                                   \n",
       "1                 703     741    59176.71     59227.59     50.88 -1260.77   \n",
       "2                 893     912    61640.68     61664.93     24.25  -622.79   \n",
       "3               13110   13225   737787.43    737976.59    189.16 -3851.75   \n",
       "4               29845   29972  1073965.92   1074153.93    188.01 -3518.53   \n",
       "5               27080   27160   881309.09    881431.68    122.59 -2154.64   \n",
       "6               86010   86193  2359213.46   2359504.49    291.03 -5058.00   \n",
       "7              126994  127187  3052709.31   3053009.55    300.24 -5331.44   \n",
       "8              116325  116466  2478866.35   2479058.70    192.35 -4329.29   \n",
       "9                6293    6300   137109.84    137118.83      8.99  -227.35   \n",
       "10              30327   30360   732410.42    732469.26     58.84 -1251.11   \n",
       "11                  0       0        0.00         0.00      0.00     0.00   \n",
       "12              20823   20845   606009.69    606038.31     28.62  -663.29   \n",
       "13              77727   77805  2323303.88   2323395.82     91.94 -2022.42   \n",
       "14              68320   68384  2039925.10   2040009.42     84.32 -1448.59   \n",
       "15              70091   70153  2137408.61   2137505.70     97.09 -1867.90   \n",
       "16              30537   30563   974239.42    974273.52     34.10  -812.58   \n",
       "17              86833   86904  2760430.84   2760533.14    102.30 -2162.28   \n",
       "18             140384  140491  4476186.77   4476335.16    148.39 -3927.20   \n",
       "19             208510  208655  6384624.49   6384824.38    199.89 -4111.30   \n",
       "20               9081    9087   276474.68    276482.63      7.95  -215.02   \n",
       "\n",
       "           peak_dB  wordCount  uttCnt    seconds  random_idx  words_per_sec  \\\n",
       "value_bin                                                                     \n",
       "1          -939.51     244.61       0    60360.0       26617     186.547506   \n",
       "2          -458.21     100.88       0    62160.0       15790      79.216842   \n",
       "3         -2789.62     776.58       0   741420.0       88610     499.182649   \n",
       "4         -2474.39     780.92       0  1078020.0       93601     546.625125   \n",
       "5         -1526.68     485.23       0   883740.0       62911     312.633651   \n",
       "6         -3552.07    1187.64       0  2364900.0      139358     757.986551   \n",
       "7         -3699.51    1196.90       0  3058800.0      142670     779.135098   \n",
       "8         -3063.08     759.98       0  2483460.0      101191     567.046234   \n",
       "9          -158.76      36.24       0   137280.0        7380      28.578216   \n",
       "10         -983.09     245.62       0   733440.0       23179     144.752528   \n",
       "11            0.00       0.00       0        0.0           0       0.000000   \n",
       "12         -483.94     147.69       0   606660.0       14956     117.535257   \n",
       "13        -1445.58     442.81       0  2326020.0       59795     378.773687   \n",
       "14         -964.01     398.26       0  2042100.0       51454     307.403693   \n",
       "15        -1398.82     401.99       0  2139180.0       50920     259.754800   \n",
       "16         -587.60     142.50       0   975120.0       19937     108.888198   \n",
       "17        -1605.09     440.50       0  2762580.0       56737     313.352004   \n",
       "18        -2931.74     644.52       0  4479720.0       83251     467.554700   \n",
       "19        -2874.52     847.87       0  6388920.0      104833     625.744428   \n",
       "20         -171.66      29.99       0   276600.0        6696      22.793005   \n",
       "\n",
       "                wps  \n",
       "value_bin            \n",
       "1          4.807586  \n",
       "2          4.160000  \n",
       "3          4.105413  \n",
       "4          4.153609  \n",
       "5          3.958153  \n",
       "6          4.080816  \n",
       "7          3.986477  \n",
       "8          3.951027  \n",
       "9          4.031146  \n",
       "10         4.174371  \n",
       "11              NaN  \n",
       "12         5.160377  \n",
       "13         4.816293  \n",
       "14         4.723197  \n",
       "15         4.140385  \n",
       "16         4.178886  \n",
       "17         4.305963  \n",
       "18         4.343419  \n",
       "19         4.241683  \n",
       "20         3.772327  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vbin_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "man_vbin_offset_df = man_timestamps1.groupby('value_bin').agg({'duration': 'sum', 'wordCount': 'sum', 'clip_offset':'max'})\n",
    "man_vbin_offset_df['hourly_offset'] = man_vbin_offset_df['clip_offset']/3600\n",
    "man_vbin_offset_df['avg_speed_recorded'] = man_vbin_offset_df['wordCount']/man_vbin_offset_df['duration']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "man_vbin_offset_df.dropna(inplace=True)\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "truncated_x = ['{:.2f}'.format(t) for t in man_vbin_offset_df['hourly_offset']]\n",
    "truncated_y = [round(t,2) for t in man_vbin_offset_df['avg_speed_recorded']]\n",
    "ax = sns.barplot(x = man_vbin_offset_df['hourly_offset'], y = truncated_y, palette = \"ch:s=.25,rot=-.25\",edgecolor='black')\n",
    "ax.bar_label(ax.containers[0], fontsize=12)\n",
    "sns.set(rc={'figure.figsize':(12,8)})\n",
    "sns.set_theme(style='white')\n",
    "plt.xticks(rotation=0)\n",
    "ax.set_xticklabels(truncated_x)\n",
    "plt.xlabel('No. of hours into the recording', fontsize=16)\n",
    "plt.ylabel('Average no. of words/sec', fontsize=16)\n",
    "plt.title(\"Average male speech rate (words/sec) around child\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Refactoring code into function -- change variables when integrating into script\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def create_MAN_speed_graph(childid):\n",
    "    filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "    man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "    man_timestamps1 = man_timestamps_main\n",
    "    man_timestamps1['value_bin']=pd.cut(man_timestamps_main['clip_offset'], 20, labels=[x for x in range(1,21)])\n",
    "    man_timestamps1['freq_bin']=pd.qcut(man_timestamps_main['clip_offset'], 20, labels=[x for x in range(1,21)])\n",
    "\n",
    "    '''\n",
    "    vbin_df = man_timestamps1.groupby('value_bin').agg('sum')\n",
    "    fbin_df = man_timestamps1.groupby('freq_bin').agg('sum')\n",
    "    vbin_df['wps'] = vbin_df['wordCount']/vbin_df['duration']\n",
    "    fbin_df['wps'] = fbin_df['wordCount']/fbin_df['duration']\n",
    "    '''\n",
    "\n",
    "    man_vbin_offset_df = man_timestamps1.groupby('value_bin').agg({'duration': 'sum', 'wordCount': 'sum', 'clip_offset':'max'})\n",
    "    man_vbin_offset_df['hourly_offset'] = man_vbin_offset_df['clip_offset']/3600\n",
    "    man_vbin_offset_df['avg_speed_recorded'] = man_vbin_offset_df['wordCount']/man_vbin_offset_df['duration']\n",
    "\n",
    "    man_vbin_offset_df.dropna(inplace=True)\n",
    "\n",
    "    truncated_x = ['{:.2f}'.format(t) for t in man_vbin_offset_df['hourly_offset']]\n",
    "    truncated_y = [round(t,2) for t in man_vbin_offset_df['avg_speed_recorded']]\n",
    "    ax = sns.barplot(x = man_vbin_offset_df['hourly_offset'], y = truncated_y, palette = \"ch:s=.25,rot=-.25\",edgecolor='black')\n",
    "    ax.bar_label(ax.containers[0], fontsize=12)\n",
    "    sns.set(rc={'figure.figsize':(12,8)})\n",
    "    sns.set_theme(style='white')\n",
    "    plt.xticks(rotation=0)\n",
    "    ax.set_xticklabels(truncated_x)\n",
    "    plt.xlabel('No. of hours into the recording', fontsize=16)\n",
    "    plt.ylabel('Average no. of words/sec', fontsize=16)\n",
    "    plt.title(\"Average male speech rate (words/sec) around child\", fontsize=20)\n",
    "    plt.show()\n",
    "\n",
    "create_MAN_speed_graph('001LTP1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def create_FAN_speed_graph(id):\n",
    "\n",
    "        '''\n",
    "        This function creates a plot of male talking speed by mining MAN timestamps and saves it in the output directory. This has binning done w.r.t. values of offsets.\n",
    "        '''\n",
    "\n",
    "        filepath_of_csv = os.path.join( \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\",  id+ \"_speech_output\",  id+\"_FAN_timestamps.csv\")\n",
    "        man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "        man_timestamps1 = man_timestamps_main\n",
    "        man_timestamps1['value_bin']=pd.cut(man_timestamps_main['clip_offset'], 20, labels=[x for x in range(1,21)])\n",
    "        man_timestamps1['freq_bin']=pd.qcut(man_timestamps_main['clip_offset'], 20, labels=[x for x in range(1,21)])\n",
    "        man_vbin_offset_df = man_timestamps1.groupby('value_bin').agg({'duration': 'sum', 'wordCount': 'sum', 'clip_offset':'max'})\n",
    "        man_vbin_offset_df['hourly_offset'] = man_vbin_offset_df['clip_offset']/3600\n",
    "        man_vbin_offset_df['avg_speed_recorded'] = man_vbin_offset_df['wordCount']/man_vbin_offset_df['duration']\n",
    "\n",
    "        man_vbin_offset_df.dropna(inplace=True)\n",
    "\n",
    "        truncated_x = ['{:.2f}'.format(t) for t in man_vbin_offset_df['hourly_offset']]\n",
    "        truncated_y = [round(t,2) for t in man_vbin_offset_df['avg_speed_recorded']]\n",
    "        ax = sns.barplot(x = man_vbin_offset_df['hourly_offset'], y = truncated_y, palette = \"ch:s=.25,rot=-.25\",edgecolor='black')\n",
    "        ax.bar_label(ax.containers[0], fontsize=11)\n",
    "        sns.set(rc={'figure.figsize':(12,8)})\n",
    "        sns.set_theme(style='white')\n",
    "        plt.xticks(rotation=30)\n",
    "        ax.set_xticklabels(truncated_x)\n",
    "        plt.xlabel('No. of hours into the recording', fontsize=16)\n",
    "        plt.ylabel('Average no. of words/sec', fontsize=16)\n",
    "        plt.title(\"Average female speech rate (words/sec) around child\", fontsize=20)\n",
    "        plt.show()\n",
    "\n",
    "create_FAN_speed_graph(\"001LTP1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Same graphs as above, but with real time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "childid = '032LTP2'\n",
    "filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "man_timestamps_main['words_per_sec'] = man_timestamps_main['wordCount']/man_timestamps_main['duration']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]\n",
      "17\n",
      "[0, 595, 4195, 7795, 11395, 14995, 18595, 22195, 25795, 29395, 32995, 36595, 40195, 43795, 47395, 50995, 54595, 58195]\n",
      "18\n"
     ]
    }
   ],
   "source": [
    "main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "itsinfocsv = pd.read_csv(infocsvpath)\n",
    "start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "            actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "            actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "            actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "            actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    " \n",
    "start_bucket = actual_time_of_start.hour+1\n",
    "end_bucket = actual_time_of_end.hour+1\n",
    "secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "no_of_buckets = len(buckets)\n",
    "bucket_offsets = [0,secs_until_closest_hour]\n",
    "for i in range(1, no_of_buckets):\n",
    "    bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "        \n",
    "print(buckets)\n",
    "print(len(buckets))\n",
    "print(bucket_offsets) \n",
    "print(len(bucket_offsets))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>seg_id</th>\n",
       "      <th>clip_onset</th>\n",
       "      <th>clip_offset</th>\n",
       "      <th>duration</th>\n",
       "      <th>avg_dB</th>\n",
       "      <th>peak_dB</th>\n",
       "      <th>wordCount</th>\n",
       "      <th>nonSpeechDur</th>\n",
       "      <th>uttCnt</th>\n",
       "      <th>uttLength</th>\n",
       "      <th>file_name</th>\n",
       "      <th>seconds</th>\n",
       "      <th>child_id</th>\n",
       "      <th>segment_type</th>\n",
       "      <th>random_idx</th>\n",
       "      <th>words_per_sec</th>\n",
       "      <th>which_hour</th>\n",
       "      <th>before_hour_of_day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>192.76</td>\n",
       "      <td>194.66</td>\n",
       "      <td>1.90</td>\n",
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       "      <td>-22.73</td>\n",
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       "      <td>20</td>\n",
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       "      <td>20</td>\n",
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       "      <td>MAN</td>\n",
       "      <td>1292</td>\n",
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       "      <td>20</td>\n",
       "      <td>20</td>\n",
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       "    <tr>\n",
       "      <th>1516</th>\n",
       "      <td>1516</td>\n",
       "      <td>1517</td>\n",
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       "      <td>47515.41</td>\n",
       "      <td>1.03</td>\n",
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       "      <td>MAN</td>\n",
       "      <td>943</td>\n",
       "      <td>4.038835</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1517 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  seg_id  clip_onset  clip_offset  duration  avg_dB  peak_dB  \\\n",
       "0              0       1       16.88        18.39      1.51  -34.80   -25.78   \n",
       "1              1       2       54.35        55.52      1.17  -40.89   -32.53   \n",
       "2              2       3      170.29       171.30      1.01  -38.02   -30.02   \n",
       "3              3       4      192.76       194.66      1.90  -30.27   -22.73   \n",
       "4              4       5      198.09       199.10      1.01  -29.02   -20.63   \n",
       "...          ...     ...         ...          ...       ...     ...      ...   \n",
       "1512        1512    1513    45309.36     45310.42      1.06  -34.16   -27.06   \n",
       "1513        1513    1514    45326.16     45327.30      1.14  -33.43   -28.35   \n",
       "1514        1514    1515    46246.22     46247.48      1.26  -40.36   -32.40   \n",
       "1515        1515    1516    46790.98     46793.28      2.30  -36.41   -27.64   \n",
       "1516        1516    1517    47514.38     47515.41      1.03  -37.65   -30.28   \n",
       "\n",
       "      wordCount nonSpeechDur  uttCnt uttLength                    file_name  \\\n",
       "0          7.25       P0.00S       0    P0.00S        16_18_MAN_032LTP2.wav   \n",
       "1          6.85       P0.00S       0    P0.00S        54_55_MAN_032LTP2.wav   \n",
       "2          7.51       P0.00S       0    P0.00S      170_171_MAN_032LTP2.wav   \n",
       "3          9.74       P0.00S       0    P0.00S      192_194_MAN_032LTP2.wav   \n",
       "4          7.27       P0.00S       0    P0.00S      198_199_MAN_032LTP2.wav   \n",
       "...         ...          ...     ...       ...                          ...   \n",
       "1512       2.21       P0.00S       0    P0.00S  45309_45310_MAN_032LTP2.wav   \n",
       "1513       5.53       P0.00S       0    P0.00S  45326_45327_MAN_032LTP2.wav   \n",
       "1514       4.86       P0.00S       0    P0.00S  46246_46247_MAN_032LTP2.wav   \n",
       "1515       8.06       P0.00S       0    P0.00S  46790_46793_MAN_032LTP2.wav   \n",
       "1516       4.16       P0.00S       0    P0.00S  47514_47515_MAN_032LTP2.wav   \n",
       "\n",
       "      seconds child_id segment_type  random_idx  words_per_sec which_hour  \\\n",
       "0        60.0  032LTP2          MAN         927       4.801325          7   \n",
       "1        60.0  032LTP2          MAN        1488       5.854701          7   \n",
       "2       180.0  032LTP2          MAN         112       7.435644          7   \n",
       "3       240.0  032LTP2          MAN         222       5.126316          7   \n",
       "4       240.0  032LTP2          MAN         686       7.198020          7   \n",
       "...       ...      ...          ...         ...            ...        ...   \n",
       "1512  45360.0  032LTP2          MAN        1175       2.084906         20   \n",
       "1513  45360.0  032LTP2          MAN         433       4.850877         20   \n",
       "1514  46260.0  032LTP2          MAN        1472       3.857143         20   \n",
       "1515  46800.0  032LTP2          MAN        1292       3.504348         20   \n",
       "1516  47520.0  032LTP2          MAN         943       4.038835         21   \n",
       "\n",
       "     before_hour_of_day  \n",
       "0                     7  \n",
       "1                     7  \n",
       "2                     7  \n",
       "3                     7  \n",
       "4                     7  \n",
       "...                 ...  \n",
       "1512                 20  \n",
       "1513                 20  \n",
       "1514                 20  \n",
       "1515                 20  \n",
       "1516                 21  \n",
       "\n",
       "[1517 rows x 19 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, \n",
    "                                labels=buckets, include_lowest=True, right=True)\n",
    "man_timestamps_main"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, \n",
    "                                labels=buckets, include_lowest=True, right=True)\n",
    "condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'duration': 'sum', 'wordCount': 'sum'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "condensed_df['avg_rate'] = condensed_df['wordCount'] / condensed_df['duration'] \n",
    "condensed_df.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xaxis = ['{}:00'.format(t) for t in buckets]\n",
    "yaxis = [round(y,2) for y in condensed_df['avg_rate']]\n",
    "ax = sns.barplot(x = buckets, y = yaxis, palette = \"ch:s=.25,rot=-.25\",edgecolor='black')\n",
    "ax.bar_label(ax.containers[0], fontsize=12)\n",
    "sns.set(rc={'figure.figsize':(12,8)})\n",
    "sns.set_theme(style='white')\n",
    "plt.xticks(rotation=0)\n",
    "ax.set_xticklabels(xaxis)\n",
    "plt.xlabel('Hour of the day', fontsize=16)\n",
    "plt.ylabel('Average no. of words/sec', fontsize=16)\n",
    "plt.title(\"Average male speech rate (words/sec) around child\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def create_MAN_dayspeed_graph():\n",
    "    #Preprocessing of data\n",
    "    childid = '001LTP2'\n",
    "    filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "    man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "    man_timestamps_main['words_per_sec'] = man_timestamps_main['wordCount']/man_timestamps_main['duration']\n",
    "    main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "    infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "    itsinfocsv = pd.read_csv(infocsvpath)\n",
    "    start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "    end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "    start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "    end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "    og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "    og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "    if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "                actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "    elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "                actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "    \n",
    "    start_bucket = actual_time_of_start.hour+1\n",
    "    if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "        end_bucket = actual_time_of_end.hour + 25\n",
    "    else:\n",
    "        end_bucket = actual_time_of_end.hour+1\n",
    "    secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "    buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "    no_of_buckets = len(buckets)\n",
    "    bucket_offsets = [0,secs_until_closest_hour]\n",
    "    for i in range(1, no_of_buckets):\n",
    "        bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "\n",
    "    man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, \n",
    "                                labels=buckets, include_lowest=True, right=True)\n",
    "    condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'duration': 'sum', 'wordCount': 'sum'})\n",
    "    condensed_df['avg_rate'] = condensed_df['wordCount'] / condensed_df['duration'] \n",
    "    condensed_df.fillna(0)\n",
    "    #Plotting of graph\n",
    "    xaxis = ['{}:00'.format(t) for t in buckets]\n",
    "    yaxis = [round(y,2) for y in condensed_df['avg_rate']]\n",
    "    ax = sns.barplot(x = buckets, y = yaxis, palette = \"ch:s=.25,rot=-.25\",edgecolor='black')\n",
    "    ax.bar_label(ax.containers[0], fontsize=12)\n",
    "    sns.set(rc={'figure.figsize':(12,8)})\n",
    "    sns.set_theme(style='white')\n",
    "    plt.xticks(rotation=0)\n",
    "    ax.set_xticklabels(xaxis)\n",
    "    plt.xlabel('Hour of the day', fontsize=16)\n",
    "    plt.ylabel('Average no. of words/sec', fontsize=16)\n",
    "    plt.title(\"Average male speech rate (words/sec) around child\", fontsize=20)\n",
    "    plt.show()\n",
    "\n",
    "create_MAN_dayspeed_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def create_day_words_graph(mf:str):\n",
    "\n",
    "           \n",
    "    #Preprocessing of data\n",
    "    childid = '001LTP2'\n",
    "\n",
    "    if mf == 'MAN':\n",
    "        filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "        title = \"Word counts of male speech around child\"\n",
    "        palette = 'YlGn'\n",
    "    else:\n",
    "        filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_FAN_timestamps.csv\")\n",
    "        title = \"Word counts of female speech around child\"\n",
    "        palette = 'Wistia'\n",
    "\n",
    "    man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "    \n",
    "    main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "    infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "    itsinfocsv = pd.read_csv(infocsvpath)\n",
    "    start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "    end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "    start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "    end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "    og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "    og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "    if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "                actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "    elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "                actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "    \n",
    "\n",
    "    start_bucket = actual_time_of_start.hour+1\n",
    "    if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "        end_bucket = actual_time_of_end.hour + 25\n",
    "    else:\n",
    "        end_bucket = actual_time_of_end.hour+1\n",
    "    secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "    buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "    no_of_buckets = len(buckets)\n",
    "    bucket_offsets = [0,secs_until_closest_hour]\n",
    "    for i in range(1, no_of_buckets):\n",
    "        bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "    man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "    \n",
    "    condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'wordCount': 'sum'})\n",
    "    \n",
    "    condensed_df.fillna(0)\n",
    "    #Plotting of graph\n",
    "    xaxis = ['{}:00'.format(t) for t in buckets]\n",
    "    yaxis = [round(y) for y in condensed_df['wordCount']]\n",
    "    ax = sns.barplot(x = buckets, y = yaxis, palette = palette,edgecolor='black')\n",
    "    ax.bar_label(ax.containers[0], fontsize=12)\n",
    "    sns.set(rc={'figure.figsize':(12,8)})\n",
    "    sns.set_theme(style='white')\n",
    "    plt.xticks(rotation=0)\n",
    "    ax.set_xticklabels(xaxis)\n",
    "    plt.xlabel('Hour of the day', fontsize=16)\n",
    "    plt.ylabel('Total words uttered', fontsize=16)\n",
    "    plt.title(title, fontsize=20)\n",
    "    plt.show()\n",
    "\n",
    "create_day_words_graph('MAN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Multiple bar plot of above thing\n",
    "\n",
    "def returnonlyone(mf:str):   \n",
    "#Preprocessing of data\n",
    "    childid = '001LTP1'\n",
    "\n",
    "    if mf == 'MAN':\n",
    "        filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "        title = \"Word counts of male speech around child\"\n",
    "        palette = 'YlGn'\n",
    "    else:\n",
    "        filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_FAN_timestamps.csv\")\n",
    "        title = \"Word counts of female speech around child\"\n",
    "        palette = 'Wistia'\n",
    "\n",
    "    man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "\n",
    "    main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "    infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "    itsinfocsv = pd.read_csv(infocsvpath)\n",
    "    start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "    end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "    start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "    end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "    og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "    og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "    if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "                actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "    elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "                actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "\n",
    "    start_bucket = actual_time_of_start.hour+1\n",
    "    if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "        end_bucket = actual_time_of_end.hour + 25\n",
    "    else:\n",
    "        end_bucket = actual_time_of_end.hour+1\n",
    "    secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "    buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "    no_of_buckets = len(buckets)\n",
    "    bucket_offsets = [0,secs_until_closest_hour]\n",
    "    for i in range(1, no_of_buckets):\n",
    "        bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "    man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "\n",
    "    condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'wordCount': 'sum'})\n",
    "    condensed_df.fillna(0)\n",
    "    return condensed_df\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "onlyman = returnonlyone('MAN')\n",
    "onlywoman = returnonlyone('FAN')\n",
    "result = pd.concat([onlyman, onlywoman], axis=1)\n",
    "result.columns = ['MAN','FAN']\n",
    "result = result.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "melteddf = pd.melt(result, id_vars='before_hour_of_day', var_name=\"speaker\", value_name=\"word_counts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting of graph\n",
    " \n",
    "#ax = sns.barplot(x = buckets, y = yaxis, palette = palette,edgecolor='black')\n",
    "ax = sns.barplot(x='before_hour_of_day', y='word_counts', hue='speaker',palette=[\"yellow\", \"green\"],data=melteddf)\n",
    "#xaxis = ['{}:00'.format(t) for t in melteddf['before_hour_of_day']]\n",
    "ax.bar_label(ax.containers[0], fontsize=10)\n",
    "ax.bar_label(ax.containers[1], fontsize=10)\n",
    "sns.set(rc={'figure.figsize':(12,10)})\n",
    "sns.set_theme(style='white')\n",
    "plt.xticks(rotation=0)\n",
    "#ax.set_xticklabels(xaxis)\n",
    "plt.xlabel('Hour of the day', fontsize=16)\n",
    "plt.ylabel('Total words uttered', fontsize=16)\n",
    "plt.title('Total words uttered by male & female caregivers around child', fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list((onlyman.index.values))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Experimenting with decibel values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/jt/dpcpyp4n5mggjjbh2lylsglh0000gn/T/ipykernel_33230/330132014.py:52: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(xaxis)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Preprocessing of data\n",
    "childid = '001LTP1'\n",
    "filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    " \n",
    "main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "itsinfocsv = pd.read_csv(infocsvpath)\n",
    "start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "        actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "        actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "        actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "        actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "\n",
    "start_bucket = actual_time_of_start.hour+1\n",
    "if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "        end_bucket = actual_time_of_end.hour + 25\n",
    "else:\n",
    "        end_bucket = actual_time_of_end.hour+1\n",
    "secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "no_of_buckets = len(buckets)\n",
    "bucket_offsets = [0,secs_until_closest_hour]\n",
    "for i in range(1, no_of_buckets):\n",
    "        bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "\n",
    "man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'duration': 'sum', 'avg_dB': 'sum'})\n",
    "condensed_df['avg_decibel_value'] = condensed_df['avg_dB'] / condensed_df['duration'] \n",
    "condensed_df = condensed_df.fillna(0)\n",
    "#Plotting of graph\n",
    "xaxis = ['{}:00'.format(t) for t in buckets]\n",
    "yaxis = [round(y,2) for y in condensed_df['avg_decibel_value']]\n",
    "#ax = sns.barplot(x = buckets, y = yaxis, palette = \"ch:s=.25,rot=-.25\",edgecolor='black')\n",
    "ax = sns.lineplot(data=condensed_df, x='before_hour_of_day', y='avg_decibel_value')\n",
    "#ax.bar_label(ax.containers[0], fontsize=12)\n",
    "sns.set(rc={'figure.figsize':(12,8)})\n",
    "sns.set_theme(style='white')\n",
    "plt.xticks(rotation=0 )\n",
    "ax.set_xticklabels(xaxis)\n",
    "plt.xlabel('Hour of the day', fontsize=16)\n",
    "plt.ylabel('Average dB value of male speech', fontsize=16)\n",
    "plt.title(\"Average male speech sound levels (dB) around child\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "before_hour_of_day\n",
       "9      82.0\n",
       "11    394.0\n",
       "12    428.0\n",
       "13    435.0\n",
       "17    445.0\n",
       "18    489.0\n",
       "19    577.0\n",
       "20    682.0\n",
       "21    721.0\n",
       "Name: seg_id, dtype: float64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xaxisdivisions[~pd.isnull(xaxisdivisions)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "before_hour_of_day\n",
       "9      82.0\n",
       "11    394.0\n",
       "12    428.0\n",
       "13    435.0\n",
       "17    445.0\n",
       "18    489.0\n",
       "19    577.0\n",
       "20    682.0\n",
       "21    721.0\n",
       "Name: seg_id, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#rough\n",
    "values_drawn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2304x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "childid = '001LTP1'\n",
    "filepath_of_csv = os.path.join(\"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\" , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "\n",
    "x1 = man_timestamps_main['seg_id']\n",
    "y1 = man_timestamps_main['avg_dB']+97\n",
    "plt.figure(figsize=(32,16))\n",
    "plt.plot(x1, y1, color = 'black', lw = 1)\n",
    "ax = plt.gca()\n",
    "xaxisdivisions, df = get_hourly_buckets()\n",
    "times_drawn = xaxisdivisions.loc[~pd.isnull(xaxisdivisions)].index\n",
    "values_drawn = xaxisdivisions[~pd.isnull(xaxisdivisions)] \n",
    "color = plt.cm.rainbow(np.linspace(0, 1, 25))\n",
    "random.shuffle(color)\n",
    "i = 0\n",
    "for value in values_drawn:\n",
    "    plt.axvline(x=value, color = color[i], label= str(times_drawn[i])+\":00\", lw=5)\n",
    "    i+=1 \n",
    "    \n",
    "plt.axhline(y=80, color = 'red', label= \"Sound threshold\", lw=5, linestyle = ':')      \n",
    "plt.legend(bbox_to_anchor=(1.0, 1), loc='upper left')\n",
    "plt.xlabel('Time', fontsize=16)\n",
    "plt.ylabel('Average dB value of male speech', fontsize=16)\n",
    "plt.title(\"Average male speech sound levels (dB) around child\", fontsize=20)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_hourly_buckets():\n",
    "        main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "        infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "        itsinfocsv = pd.read_csv(infocsvpath)\n",
    "        start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "        end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "        start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "        end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "        og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "        og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "        if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "                actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "        elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "                actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "                actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "\n",
    "        start_bucket = actual_time_of_start.hour+1\n",
    "        if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "                end_bucket = actual_time_of_end.hour + 25\n",
    "        else:\n",
    "                end_bucket = actual_time_of_end.hour+1\n",
    "        secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "        buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "        secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "        buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "        no_of_buckets = len(buckets)\n",
    "        bucket_offsets = [0,secs_until_closest_hour]\n",
    "        for i in range(1, no_of_buckets):\n",
    "                bucket_offsets.append(secs_until_closest_hour+3600*(i))  \n",
    "        \n",
    "        \n",
    "        man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "        condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'seg_id': 'max'})\n",
    "        return condensed_df['seg_id'] , man_timestamps_main"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'actual_time_of_start' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/jt/dpcpyp4n5mggjjbh2lylsglh0000gn/T/ipykernel_4603/1195358686.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m         \u001b[0mcondensed_df\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mman_timestamps_main\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'before_hour_of_day'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0magg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'seg_id'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'max'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mcondensed_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'seg_id'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mhourly_divisions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/var/folders/jt/dpcpyp4n5mggjjbh2lylsglh0000gn/T/ipykernel_4603/1195358686.py\u001b[0m in \u001b[0;36mhourly_divisions\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhourly_divisions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m         \u001b[0msecs_until_closest_hour\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m3600\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mactual_time_of_start\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mminute\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;36m60\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mactual_time_of_start\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msecond\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m         \u001b[0mbuckets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mstart_bucket\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_bucket\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0mno_of_buckets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuckets\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0mbucket_offsets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msecs_until_closest_hour\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'actual_time_of_start' is not defined"
     ]
    }
   ],
   "source": [
    "def hourly_divisions():\n",
    "        secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "        buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "        no_of_buckets = len(buckets)\n",
    "        bucket_offsets = [0,secs_until_closest_hour]\n",
    "        for i in range(1, no_of_buckets):\n",
    "                bucket_offsets.append(secs_until_closest_hour+3600*(i))  \n",
    "        \n",
    "        xaxisdivisions = []\n",
    "        man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "        condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'seg_id': 'max'})\n",
    "        return (condensed_df['seg_id'])\n",
    "hourly_divisions()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SNR calculations\n",
    "In this section, we calculate SNR using the following formula:\n",
    "\n",
    "signal = avg dB in FAN and MAN\n",
    "\n",
    "signal + noise = avg dB in OLN \n",
    "\n",
    "SNR = signal / ((signal + noise) -signal)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fixed version of sound levels (man or fan) around child"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\linguist\\AppData\\Local\\Temp\\ipykernel_14324\\3714526411.py:40: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'duration': 'sum', 'avg_dB': 'sum'})\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "\n",
    "#Preprocessing of data\n",
    "childid = '001LTP1'\n",
    "filepath_of_csv = os.path.join(main_input_folder, childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    " \n",
    "infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "itsinfocsv = pd.read_csv(infocsvpath)\n",
    "start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "        actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "        actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "        actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "        actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "\n",
    "start_bucket = actual_time_of_start.hour+1\n",
    "if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "        end_bucket = actual_time_of_end.hour + 25\n",
    "else:\n",
    "        end_bucket = actual_time_of_end.hour+1\n",
    "secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "no_of_buckets = len(buckets)\n",
    "bucket_offsets = [0,secs_until_closest_hour]\n",
    "for i in range(1, no_of_buckets):\n",
    "        bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "\n",
    "man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'duration': 'sum', 'avg_dB': 'sum'})\n",
    "condensed_df['avg_decibel_value'] = (condensed_df['avg_dB'] / condensed_df['duration'] ) \n",
    "condensed_df = condensed_df.fillna(0)\n",
    "condensed_df['avg_decibel_value'] =[i+97  if i!=0 else 0 for i in condensed_df['avg_decibel_value'] ]\n",
    "\n",
    "#Plotting of graph\n",
    "xaxis = ['{}:00'.format(t) for t in buckets]\n",
    "yaxis = [round(y ,2) for y in condensed_df['avg_decibel_value'] ]\n",
    "\n",
    "ax = sns.lineplot(data=condensed_df, x='before_hour_of_day', y='avg_decibel_value')\n",
    "sns.set(rc={'figure.figsize':(12,8)})\n",
    "sns.set_theme(style='white')\n",
    "\n",
    "plt.xticks(list(condensed_df.index), labels=xaxis)\n",
    "#ax.set_xticklabels(ticks = condensed_df.index ,labels = xaxis) \n",
    "plt.xlabel('Hour of the day', fontsize=16)\n",
    "plt.ylabel('Average dB value of male speech', fontsize=16)\n",
    "plt.title(\"Average male speech sound levels (dB) around child\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The below function returns a df of hourly average decibel levels for MAN, FAN and OLN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_input_folder = \"/Users/arjun/Box/box-group-lena-studies/Soundscape/wavFiles\"\n",
    "def returnonlydB(mf:str):   \n",
    " \n",
    "    childid = '001LTP1'\n",
    "\n",
    "    if mf == 'MAN':\n",
    "        filepath_of_csv = os.path.join(main_input_folder , childid+ \"_speech_output\", childid+\"_MAN_timestamps.csv\")\n",
    "        \n",
    "    elif mf=='FAN':\n",
    "        filepath_of_csv = os.path.join(main_input_folder, childid+ \"_speech_output\", childid+\"_FAN_timestamps.csv\")\n",
    "    else:\n",
    "        filepath_of_csv = os.path.join(main_input_folder, childid+ \"_speech_output\", childid+\"_OLN_timestamps.csv\")\n",
    "      \n",
    "    \n",
    "    man_timestamps_main = pd.read_csv(filepath_of_csv)\n",
    "\n",
    "    infocsvpath = os.path.join(main_input_folder , childid + \"_speech_output\",   childid+\"_its_info.csv\")  \n",
    "    itsinfocsv = pd.read_csv(infocsvpath)\n",
    "    start_datetime_str = str(itsinfocsv['startClockTime'][0])\n",
    "    end_datetime_str = str(itsinfocsv['endClockTime'][0]) \n",
    "\n",
    "    start_datetime_object = datetime.datetime.strptime(start_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "    end_datetime_object = datetime.datetime.strptime(end_datetime_str, '%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "    og_start_time = start_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "    og_end_time  = end_datetime_object.replace(tzinfo=datetime.timezone.utc)\n",
    "\n",
    "    if (childid.find('L')>=0 or childid.find('M')>=0  or  childid.find('D')>=0  or childid.find('E')>=0):\n",
    "            actual_time_of_start = og_start_time.astimezone(timezone('America/Chicago'))\n",
    "            actual_time_of_end =  og_end_time.astimezone(timezone('America/Chicago'))\n",
    "\n",
    "    elif (childid.find('R')>=0 or childid.find('J')>=0):\n",
    "            actual_time_of_start = og_start_time.astimezone(timezone('America/New_York'))\n",
    "            actual_time_of_end = og_end_time.astimezone(timezone('America/New_York'))\n",
    "\n",
    "    start_bucket = actual_time_of_start.hour+1\n",
    "    if (actual_time_of_start.day < actual_time_of_end.day):\n",
    "            end_bucket = actual_time_of_end.hour + 25\n",
    "    else:\n",
    "            end_bucket = actual_time_of_end.hour+1\n",
    "    secs_until_closest_hour = 3600 - actual_time_of_start.minute*60 - actual_time_of_start.second\n",
    "    buckets = [i for i in range (start_bucket, end_bucket+1)]\n",
    "    no_of_buckets = len(buckets)\n",
    "    bucket_offsets = [0,secs_until_closest_hour]\n",
    "    for i in range(1, no_of_buckets):\n",
    "            bucket_offsets.append(secs_until_closest_hour+3600*(i))\n",
    "\n",
    "    man_timestamps_main['before_hour_of_day'] = pd.cut(man_timestamps_main['clip_offset'], bins=bucket_offsets, labels=buckets, include_lowest=True, right=True)\n",
    "    condensed_df = man_timestamps_main.groupby('before_hour_of_day').agg({'duration': 'sum', 'avg_dB': 'sum'})\n",
    "    condensed_df['avg_decibel_value'] = (condensed_df['avg_dB'] / condensed_df['duration'] ) \n",
    "    condensed_df = condensed_df.fillna(0)\n",
    "    shifted = []\n",
    "    for i in range (0, len(condensed_df)):\n",
    "        if condensed_df['avg_decibel_value'][i]!=0 or condensed_df['duration'][i]!=0:\n",
    "              shifted.append(condensed_df['avg_decibel_value'][i]+97)\n",
    "        else:\n",
    "              shifted.append(0)\n",
    "\n",
    "    condensed_df['avg_decibel_value'] =shifted\n",
    "    return condensed_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucketed_OLN_decibels = returnonlydB(\"OLN\")\n",
    "bucketed_MAN_decibels = returnonlydB(\"MAN\")\n",
    "bucketed_FAN_decibels = returnonlydB(\"FAN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucketed_master_decibels = bucketed_OLN_decibels.join(bucketed_FAN_decibels, how = 'outer', lsuffix = '_OLN', rsuffix = '_FAN').join(bucketed_MAN_decibels, how = 'outer', rsuffix = '_MAN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucketed_master_decibels['signal'] = (bucketed_master_decibels['avg_decibel_value']+bucketed_master_decibels['avg_decibel_value_FAN'])/2\n",
    "bucketed_master_decibels['signal+noise-signal'] = bucketed_master_decibels['avg_decibel_value_OLN'] - bucketed_master_decibels['signal']\n",
    "bucketed_master_decibels['SNR'] =  bucketed_master_decibels['signal']/bucketed_master_decibels['signal+noise-signal']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "snrlist=[]\n",
    "for i in range(0,len(bucketed_master_decibels)):\n",
    "    if bucketed_master_decibels['signal'][i] == 0:\n",
    "        snrlist.append(0)\n",
    "    elif bucketed_master_decibels['signal+noise-signal'][i] == 0:\n",
    "        snrlist.append(bucketed_master_decibels['signal'][i]/0.001)\n",
    "    else:\n",
    "        snrlist.append(bucketed_master_decibels['signal'][i]/bucketed_master_decibels['signal+noise-signal'][i])\n",
    "bucketed_master_decibels['SNR'] = snrlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>duration_OLN</th>\n",
       "      <th>avg_dB_OLN</th>\n",
       "      <th>avg_decibel_value_OLN</th>\n",
       "      <th>duration_FAN</th>\n",
       "      <th>avg_dB_FAN</th>\n",
       "      <th>avg_decibel_value_FAN</th>\n",
       "      <th>duration</th>\n",
       "      <th>avg_dB</th>\n",
       "      <th>avg_decibel_value</th>\n",
       "      <th>signal</th>\n",
       "      <th>signal+noise-signal</th>\n",
       "      <th>SNR</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>before_hour_of_day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>165.41</td>\n",
       "      <td>-3404.54</td>\n",
       "      <td>76.417568</td>\n",
       "      <td>724.22</td>\n",
       "      <td>-8569.31</td>\n",
       "      <td>85.167532</td>\n",
       "      <td>119.29</td>\n",
       "      <td>-2323.14</td>\n",
       "      <td>77.525275</td>\n",
       "      <td>81.346403</td>\n",
       "      <td>-4.928835</td>\n",
       "      <td>-16.504185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>410.97</td>\n",
       "      <td>-6861.77</td>\n",
       "      <td>80.303477</td>\n",
       "      <td>207.23</td>\n",
       "      <td>-4197.06</td>\n",
       "      <td>76.746851</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.373426</td>\n",
       "      <td>41.930051</td>\n",
       "      <td>0.915177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>627.12</td>\n",
       "      <td>-9241.19</td>\n",
       "      <td>82.264080</td>\n",
       "      <td>354.95</td>\n",
       "      <td>-5871.22</td>\n",
       "      <td>80.459022</td>\n",
       "      <td>666.56</td>\n",
       "      <td>-8130.83</td>\n",
       "      <td>84.801803</td>\n",
       "      <td>82.630413</td>\n",
       "      <td>-0.366333</td>\n",
       "      <td>-225.561176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>609.99</td>\n",
       "      <td>-10215.29</td>\n",
       "      <td>80.253348</td>\n",
       "      <td>245.50</td>\n",
       "      <td>-4157.57</td>\n",
       "      <td>80.064888</td>\n",
       "      <td>42.29</td>\n",
       "      <td>-883.51</td>\n",
       "      <td>76.108300</td>\n",
       "      <td>78.086594</td>\n",
       "      <td>2.166755</td>\n",
       "      <td>36.038505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>340.13</td>\n",
       "      <td>-5925.05</td>\n",
       "      <td>79.580043</td>\n",
       "      <td>207.94</td>\n",
       "      <td>-3549.23</td>\n",
       "      <td>79.931471</td>\n",
       "      <td>7.83</td>\n",
       "      <td>-190.13</td>\n",
       "      <td>72.717752</td>\n",
       "      <td>76.324611</td>\n",
       "      <td>3.255431</td>\n",
       "      <td>23.445313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>346.97</td>\n",
       "      <td>-4076.19</td>\n",
       "      <td>85.252039</td>\n",
       "      <td>140.35</td>\n",
       "      <td>-2789.11</td>\n",
       "      <td>77.127467</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.563734</td>\n",
       "      <td>46.688306</td>\n",
       "      <td>0.825983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9.18</td>\n",
       "      <td>-172.48</td>\n",
       "      <td>78.211329</td>\n",
       "      <td>52.33</td>\n",
       "      <td>-1093.10</td>\n",
       "      <td>76.111408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.055704</td>\n",
       "      <td>40.155625</td>\n",
       "      <td>0.947705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>223.43</td>\n",
       "      <td>-4303.53</td>\n",
       "      <td>77.738800</td>\n",
       "      <td>239.83</td>\n",
       "      <td>-4963.22</td>\n",
       "      <td>76.305258</td>\n",
       "      <td>12.50</td>\n",
       "      <td>-268.96</td>\n",
       "      <td>75.483200</td>\n",
       "      <td>75.894229</td>\n",
       "      <td>1.844571</td>\n",
       "      <td>41.144658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>951.43</td>\n",
       "      <td>-12782.49</td>\n",
       "      <td>83.564971</td>\n",
       "      <td>197.97</td>\n",
       "      <td>-4284.70</td>\n",
       "      <td>75.356822</td>\n",
       "      <td>55.43</td>\n",
       "      <td>-1145.70</td>\n",
       "      <td>76.330687</td>\n",
       "      <td>75.843755</td>\n",
       "      <td>7.721216</td>\n",
       "      <td>9.822773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1379.00</td>\n",
       "      <td>-13842.50</td>\n",
       "      <td>86.961929</td>\n",
       "      <td>86.15</td>\n",
       "      <td>-1980.26</td>\n",
       "      <td>74.013813</td>\n",
       "      <td>113.04</td>\n",
       "      <td>-2254.23</td>\n",
       "      <td>77.058121</td>\n",
       "      <td>75.535967</td>\n",
       "      <td>11.425962</td>\n",
       "      <td>6.610907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>597.23</td>\n",
       "      <td>-10544.96</td>\n",
       "      <td>79.343553</td>\n",
       "      <td>79.67</td>\n",
       "      <td>-1913.67</td>\n",
       "      <td>72.980043</td>\n",
       "      <td>139.62</td>\n",
       "      <td>-2921.83</td>\n",
       "      <td>76.072984</td>\n",
       "      <td>74.526513</td>\n",
       "      <td>4.817039</td>\n",
       "      <td>15.471435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>171.19</td>\n",
       "      <td>-3583.47</td>\n",
       "      <td>76.067294</td>\n",
       "      <td>198.96</td>\n",
       "      <td>-4165.55</td>\n",
       "      <td>76.063380</td>\n",
       "      <td>100.75</td>\n",
       "      <td>-965.53</td>\n",
       "      <td>87.416576</td>\n",
       "      <td>81.739978</td>\n",
       "      <td>-5.672684</td>\n",
       "      <td>-14.409401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>76.73</td>\n",
       "      <td>-1963.61</td>\n",
       "      <td>71.408836</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>35.704418</td>\n",
       "      <td>-35.704418</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    duration_OLN  avg_dB_OLN  avg_decibel_value_OLN  \\\n",
       "before_hour_of_day                                                    \n",
       "9                         165.41    -3404.54              76.417568   \n",
       "10                        410.97    -6861.77              80.303477   \n",
       "11                        627.12    -9241.19              82.264080   \n",
       "12                        609.99   -10215.29              80.253348   \n",
       "13                        340.13    -5925.05              79.580043   \n",
       "14                        346.97    -4076.19              85.252039   \n",
       "15                          0.00        0.00               0.000000   \n",
       "16                          9.18     -172.48              78.211329   \n",
       "17                        223.43    -4303.53              77.738800   \n",
       "18                        951.43   -12782.49              83.564971   \n",
       "19                       1379.00   -13842.50              86.961929   \n",
       "20                        597.23   -10544.96              79.343553   \n",
       "21                        171.19    -3583.47              76.067294   \n",
       "22                          0.00        0.00               0.000000   \n",
       "23                          0.00        0.00               0.000000   \n",
       "24                          0.00        0.00               0.000000   \n",
       "25                          0.00        0.00               0.000000   \n",
       "\n",
       "                    duration_FAN  avg_dB_FAN  avg_decibel_value_FAN  duration  \\\n",
       "before_hour_of_day                                                              \n",
       "9                         724.22    -8569.31              85.167532    119.29   \n",
       "10                        207.23    -4197.06              76.746851      0.00   \n",
       "11                        354.95    -5871.22              80.459022    666.56   \n",
       "12                        245.50    -4157.57              80.064888     42.29   \n",
       "13                        207.94    -3549.23              79.931471      7.83   \n",
       "14                        140.35    -2789.11              77.127467      0.00   \n",
       "15                          0.00        0.00               0.000000      0.00   \n",
       "16                         52.33    -1093.10              76.111408      0.00   \n",
       "17                        239.83    -4963.22              76.305258     12.50   \n",
       "18                        197.97    -4284.70              75.356822     55.43   \n",
       "19                         86.15    -1980.26              74.013813    113.04   \n",
       "20                         79.67    -1913.67              72.980043    139.62   \n",
       "21                        198.96    -4165.55              76.063380    100.75   \n",
       "22                         76.73    -1963.61              71.408836      0.00   \n",
       "23                          0.00        0.00               0.000000      0.00   \n",
       "24                          0.00        0.00               0.000000      0.00   \n",
       "25                          0.00        0.00               0.000000      0.00   \n",
       "\n",
       "                     avg_dB  avg_decibel_value     signal  \\\n",
       "before_hour_of_day                                          \n",
       "9                  -2323.14          77.525275  81.346403   \n",
       "10                     0.00           0.000000  38.373426   \n",
       "11                 -8130.83          84.801803  82.630413   \n",
       "12                  -883.51          76.108300  78.086594   \n",
       "13                  -190.13          72.717752  76.324611   \n",
       "14                     0.00           0.000000  38.563734   \n",
       "15                     0.00           0.000000   0.000000   \n",
       "16                     0.00           0.000000  38.055704   \n",
       "17                  -268.96          75.483200  75.894229   \n",
       "18                 -1145.70          76.330687  75.843755   \n",
       "19                 -2254.23          77.058121  75.535967   \n",
       "20                 -2921.83          76.072984  74.526513   \n",
       "21                  -965.53          87.416576  81.739978   \n",
       "22                     0.00           0.000000  35.704418   \n",
       "23                     0.00           0.000000   0.000000   \n",
       "24                     0.00           0.000000   0.000000   \n",
       "25                     0.00           0.000000   0.000000   \n",
       "\n",
       "                    signal+noise-signal         SNR  \n",
       "before_hour_of_day                                   \n",
       "9                             -4.928835  -16.504185  \n",
       "10                            41.930051    0.915177  \n",
       "11                            -0.366333 -225.561176  \n",
       "12                             2.166755   36.038505  \n",
       "13                             3.255431   23.445313  \n",
       "14                            46.688306    0.825983  \n",
       "15                             0.000000    0.000000  \n",
       "16                            40.155625    0.947705  \n",
       "17                             1.844571   41.144658  \n",
       "18                             7.721216    9.822773  \n",
       "19                            11.425962    6.610907  \n",
       "20                             4.817039   15.471435  \n",
       "21                            -5.672684  -14.409401  \n",
       "22                           -35.704418   -1.000000  \n",
       "23                             0.000000    0.000000  \n",
       "24                             0.000000    0.000000  \n",
       "25                             0.000000    0.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucketed_master_decibels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='before_hour_of_day', ylabel='SNR'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=bucketed_master_decibels, x=\"before_hour_of_day\", y=\"SNR\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xaxis = ['{}:00'.format(t) for t in bucketed_master_decibels.index ]\n",
    "\n",
    "def transform24to12(xaxis):\n",
    "    xaxis12h = []\n",
    "    for i in xaxis:\n",
    "        if (i.find(\":\")==2):\n",
    "            if int(i[0:2])>=24:\n",
    "                i = \"0\"+str(int(i[0:2])-24)+\":00\"\n",
    "        d = datetime.datetime.strptime(i, \"%H:%M\")\n",
    "        xaxis12h.append(d.strftime(\"%-I %p\"))\n",
    "    return xaxis12h\n",
    "\n",
    "xaxis12h = transform24to12(xaxis)\n",
    "fig, ax = plt.subplots()\n",
    "plt.title('Total words uttered around child alongwith signal-to-noise ratio (SNR)',fontsize=20)\n",
    "plt.xticks(rotation=30)\n",
    "sns.barplot(x='before_hour_of_day', y='word_counts', hue='speaker',palette=[\"yellow\", \"green\"],data=melteddf,ax = ax)\n",
    "#.set(title= 'Total words uttered around child alongwith signal-to-noise ratio (SNR)')\n",
    "ax2 = ax.twinx()\n",
    "sns.scatterplot(data=bucketed_master_decibels, x=range(0,len(bucketed_master_decibels)), y=\"SNR\", ax=ax2,color = 'red', s = 60)\n",
    "ax.bar_label(ax.containers[0], fontsize=10)\n",
    "ax.bar_label(ax.containers[1], fontsize=10)\n",
    "ax.set_xticklabels(xaxis12h)\n",
    "ax.set_xlabel('Hourly-bucket endpoint', color = 'black', fontsize = 16)\n",
    "ax.set_ylabel('Total words uttered', color = 'black', fontsize=16)\n",
    "ax2.set_ylabel('SNR value', color = 'black', fontsize=16)\n",
    "sns.set(rc={'figure.figsize':(12,10)})\n",
    " \n",
    "plt.show()\n",
    "sns.set_theme(style='white')\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting of graph\n",
    "condensed_df = returnonlydB(\"MAN\")\n",
    "condensed_df2 = returnonlydB(\"FAN\")\n",
    "xaxis = ['{}:00'.format(t) for t in condensed_df.index ]\n",
    "yaxis = [round(y ,2) for y in condensed_df['avg_decibel_value'] ]\n",
    "def transform24to12(xaxis):\n",
    "    xaxis12h = []\n",
    "    for i in xaxis:\n",
    "        if (i.find(\":\")==2):\n",
    "            if int(i[0:2])>=24:\n",
    "                i = \"0\"+str(int(i[0:2])-24)+\":00\"\n",
    "        d = datetime.datetime.strptime(i, \"%H:%M\")\n",
    "        xaxis12h.append(d.strftime(\"%-I %p\"))\n",
    "    return xaxis12h\n",
    "\n",
    "xaxis12h = transform24to12(xaxis)\n",
    "ax = sns.lineplot(data=condensed_df, x='before_hour_of_day', y='avg_decibel_value', label = \"Male speech\", color = \"purple\")\n",
    "ax1 = sns.lineplot(data=condensed_df2, x='before_hour_of_day', y='avg_decibel_value', label = \"Female speech\", color = \"blue\")\n",
    "sns.set(rc={'figure.figsize':(12,8)})\n",
    "sns.set_theme(style='white')\n",
    "plt.axhline(y=80, color = 'red', label= \"Sound threshold\", lw=5, linestyle = ':')\n",
    "plt.legend(bbox_to_anchor=(1.0, 1), loc='upper left')\n",
    "plt.xticks(list(condensed_df.index), labels=xaxis12h)\n",
    "#ax.set_xticklabels(ticks = condensed_df.index ,labels = xaxis) \n",
    "plt.xlabel('Hour of the day', fontsize=16)\n",
    "plt.ylabel('Average dB value of speech', fontsize=16)\n",
    "plt.title(\"Average speech sound levels (dB) around child\", fontsize=20)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}