theta_scnn1a_Oct2024.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "352bb896",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import os\n",
    "import math\n",
    "import cv2\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pyautogui as pa\n",
    "import shutil\n",
    "import imageio\n",
    "from PIL import Image, ImageDraw\n",
    "import random\n",
    "from scipy.stats import norm, kstest, sem, ttest_ind, linregress\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import curve_fit\n",
    "\n",
    "from lib.analysis.trace_metrics import TraceMetrics\n",
    "from lib.analysis.false_discovery_control import false_discovery_control\n",
    "from lib.auto_GUI.auto_PhotoZ import AutoPhotoZ\n",
    "from lib.analysis.laminar_dist import * \n",
    "from lib.file.TIF import *\n",
    "from lib.analysis.align import ImageAlign\n",
    "from lib.utilities import *\n",
    "from lib.file.ROI_writer import ROIFileWriter\n",
    "from lib.file.ROI_reader import ROIFileReader\n",
    "from lib.analysis.barrel_roi import Barrel_ROI_Creator\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "70587cb5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Slice</th>\n",
       "      <th>Location</th>\n",
       "      <th>Recording</th>\n",
       "      <th>Stim_Current</th>\n",
       "      <th>Electrode_Type</th>\n",
       "      <th>Slice_Type</th>\n",
       "      <th>Drug</th>\n",
       "      <th>Activation_Threshold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>120</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>100</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>70</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>80</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>50</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>50</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>100</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  Slice  Location  Recording  Stim_Current Electrode_Type  \\\n",
       "0    7/19/2024      2         1          1           100         single   \n",
       "1    7/19/2024      2         1          2            60         single   \n",
       "2    7/19/2024      2         1          3           120         single   \n",
       "3    7/19/2024      2         1          4            80         single   \n",
       "4    7/19/2024      2         1          5           100  extracellular   \n",
       "5    7/19/2024      2         1          6            70         single   \n",
       "6    7/19/2024      2         1          7            80         single   \n",
       "7   10/23/2024      2         1          1            50         single   \n",
       "8   10/23/2024      2         1          2            30         single   \n",
       "9   10/23/2024      2         1          3            20         single   \n",
       "10  10/23/2024      2         1          4            30         single   \n",
       "11  10/23/2024      2         1          5            20  extracellular   \n",
       "12  10/23/2024      2         1          6            20         single   \n",
       "13  10/23/2024      2         1          7            50  extracellular   \n",
       "14  10/23/2024      2         1          8            50  extracellular   \n",
       "15  10/23/2024      2         1          9            50         single   \n",
       "16  10/23/2024      2         1         10            30         single   \n",
       "17  10/23/2024      2         1         11            20  extracellular   \n",
       "18  10/23/2024      2         1         12            30  extracellular   \n",
       "19  10/23/2024      2         1         13            50         single   \n",
       "20  10/23/2024      3         1          1            50         single   \n",
       "21  10/23/2024      3         1          2            20         single   \n",
       "22  10/23/2024      3         1          3            10         single   \n",
       "23  10/23/2024      3         1          4             5         single   \n",
       "24  10/23/2024      3         1          5            10         single   \n",
       "25  10/23/2024      3         1          6             5  extracellular   \n",
       "26  10/29/2024      2         1          1            50         single   \n",
       "27  10/29/2024      2         1          2           100         single   \n",
       "28  10/29/2024      2         1          3            30         single   \n",
       "29  10/29/2024      2         1          4            40         single   \n",
       "30  10/29/2024      2         1          5            50         single   \n",
       "31  10/29/2024      3         1          1            50         single   \n",
       "32  10/29/2024      3         1          2            20         single   \n",
       "33  10/29/2024      3         1          3            30         single   \n",
       "34  10/29/2024      3         1          4            25         single   \n",
       "35  10/29/2024      3         1          5            50         single   \n",
       "36  10/29/2024      3         1          6            40         single   \n",
       "37  10/29/2024      3         1          7            50         single   \n",
       "38  10/29/2024      3         1          8            20         single   \n",
       "39  10/29/2024      3         1          9            30         single   \n",
       "40  10/29/2024      3         1         10            25         single   \n",
       "41  10/29/2024      3         1         11            30         single   \n",
       "\n",
       "   Slice_Type  Drug  Activation_Threshold  \n",
       "0     coronal  ACSF                  90.0  \n",
       "1     coronal  ACSF                  90.0  \n",
       "2     coronal  ACSF                  90.0  \n",
       "3     coronal  ACSF                  90.0  \n",
       "4     coronal  ACSF                  90.0  \n",
       "5     coronal  ACSF                  90.0  \n",
       "6     coronal  ACSF                  90.0  \n",
       "7     coronal  ACSF                  40.0  \n",
       "8     coronal  ACSF                  40.0  \n",
       "9     coronal  ACSF                  40.0  \n",
       "10    coronal  ACSF                  40.0  \n",
       "11    coronal  ACSF                  40.0  \n",
       "12    coronal  ACSF                  40.0  \n",
       "13    coronal  ACSF                  40.0  \n",
       "14    coronal  NBQX                   NaN  \n",
       "15    coronal  NBQX                   NaN  \n",
       "16    coronal  NBQX                   NaN  \n",
       "17    coronal  NBQX                   NaN  \n",
       "18    coronal  NBQX                   NaN  \n",
       "19    coronal  NBQX                   NaN  \n",
       "20    coronal  ACSF                  40.0  \n",
       "21    coronal  ACSF                  40.0  \n",
       "22    coronal  ACSF                  40.0  \n",
       "23    coronal  ACSF                  40.0  \n",
       "24    coronal  ACSF                  40.0  \n",
       "25    coronal  ACSF                  40.0  \n",
       "26    coronal  ACSF                  65.0  \n",
       "27    coronal  ACSF                  65.0  \n",
       "28    coronal  ACSF                  65.0  \n",
       "29    coronal  ACSF                  65.0  \n",
       "30    coronal  ACSF                  65.0  \n",
       "31    coronal  ACSF                  37.5  \n",
       "32    coronal  ACSF                  37.5  \n",
       "33    coronal  ACSF                  37.5  \n",
       "34    coronal  ACSF                  37.5  \n",
       "35    coronal  ACSF                  37.5  \n",
       "36    coronal  ACSF                  37.5  \n",
       "37    coronal  NBQX                   NaN  \n",
       "38    coronal  NBQX                   NaN  \n",
       "39    coronal  NBQX                   NaN  \n",
       "40    coronal  NBQX                   NaN  \n",
       "41    coronal  NBQX                   NaN  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load trace files from the following directory\n",
    "data_dir = \"C:/Users/jjudge3/Desktop/Data/mm_full_pipeline_targets/single-cell-threshold/\"\n",
    "export_summary = data_dir + \"export_summary_backup.csv\"\n",
    "theta_catalog = data_dir + \"theta_catalog.csv\"\n",
    "\n",
    "data_dir2 = \"C:/Users/jjudge3/Desktop/Data/mm_full_pipeline_targets/EC_positive_control_for_single/\"\n",
    "ec_export_summary = data_dir2 + \"export_summary_backup.csv\"\n",
    "\n",
    "camera_program = 4\n",
    "um_per_px = 6.0 #um\n",
    "\n",
    "# read in ec summary\n",
    "ec_summary_df = pd.read_csv(ec_export_summary)\n",
    "\n",
    "# read in data from current_NBQX: 10/23 slice 1 and 10/29 slice 1 are extracellular\n",
    "data_dir3 = \"C:/Users/jjudge3/Desktop/Data/mm_full_pipeline_targets/current_NBQX_theta/\"\n",
    "ec_export_summary_2 = data_dir3 + \"10-23-24/export_summary_backup.csv\"\n",
    "ec_export_summary_3 = data_dir3 + \"10-29-24/export_summary_backup.csv\"\n",
    "ec_summary_df_2 = pd.read_csv(ec_export_summary_2)\n",
    "ec_summary_df_3 = pd.read_csv(ec_export_summary_3)\n",
    "\n",
    "# read in theta catalog\n",
    "theta_catalog_df = pd.read_csv(theta_catalog)\n",
    "theta_catalog_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "d4326525",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROI</th>\n",
       "      <th>amp</th>\n",
       "      <th>X_Center</th>\n",
       "      <th>Y_Center</th>\n",
       "      <th>ROI_Set</th>\n",
       "      <th>Date</th>\n",
       "      <th>Slice</th>\n",
       "      <th>Location</th>\n",
       "      <th>Recording</th>\n",
       "      <th>trace</th>\n",
       "      <th>Stim_Current</th>\n",
       "      <th>Electrode_Type</th>\n",
       "      <th>Slice_Type</th>\n",
       "      <th>Drug</th>\n",
       "      <th>Activation_Threshold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001075</td>\n",
       "      <td>52.403050</td>\n",
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       "      <td>10/23/2024</td>\n",
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       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
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       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000375</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000115</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000224</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001434</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001506</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000620</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000429</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000568</td>\n",
       "      <td>52.403050</td>\n",
       "      <td>48.725490</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>0.003841</td>\n",
       "      <td>55.539615</td>\n",
       "      <td>44.171306</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001400</td>\n",
       "      <td>55.539615</td>\n",
       "      <td>44.171306</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000741</td>\n",
       "      <td>55.539615</td>\n",
       "      <td>44.171306</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>10</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000262</td>\n",
       "      <td>55.539615</td>\n",
       "      <td>44.171306</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>5</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000573</td>\n",
       "      <td>55.539615</td>\n",
       "      <td>44.171306</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>10</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000696</td>\n",
       "      <td>55.539615</td>\n",
       "      <td>44.171306</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/23/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>5</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0.003024</td>\n",
       "      <td>49.461702</td>\n",
       "      <td>44.155319</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0.004732</td>\n",
       "      <td>49.461702</td>\n",
       "      <td>44.155319</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>100</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001213</td>\n",
       "      <td>49.461702</td>\n",
       "      <td>44.155319</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000772</td>\n",
       "      <td>49.461702</td>\n",
       "      <td>44.155319</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>40</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001586</td>\n",
       "      <td>49.461702</td>\n",
       "      <td>44.155319</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001457</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000331</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000522</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000522</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>25</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001758</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001078</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>40</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001983</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>50</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000381</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>20</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000724</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>25</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001166</td>\n",
       "      <td>49.523179</td>\n",
       "      <td>43.783664</td>\n",
       "      <td>3_rois</td>\n",
       "      <td>10/29/2024</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>30</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>NBQX</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001892</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>100</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000164</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>60</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1</td>\n",
       "      <td>0.001605</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>120</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000428</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>80</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1</td>\n",
       "      <td>0.002249</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>100</td>\n",
       "      <td>extracellular</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000178</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>70</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000454</td>\n",
       "      <td>51.297405</td>\n",
       "      <td>38.666667</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>7/19/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...</td>\n",
       "      <td>80</td>\n",
       "      <td>single</td>\n",
       "      <td>coronal</td>\n",
       "      <td>ACSF</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ROI       amp   X_Center   Y_Center ROI_Set        Date  Slice  Location  \\\n",
       "0     1  0.001075  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "1     1  0.000375  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "2     1  0.000115  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "3     1  0.000420  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "4     1  0.000585  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "5     1  0.000224  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "6     1  0.001434  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "7     1  0.001506  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "8     1  0.000620  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "9     1  0.000429  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "10    1  0.000225  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "11    1  0.000502  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "12    1  0.000568  52.403050  48.725490  2_rois  10/23/2024      2         1   \n",
       "13    1  0.003841  55.539615  44.171306  3_rois  10/23/2024      3         1   \n",
       "14    1  0.001400  55.539615  44.171306  3_rois  10/23/2024      3         1   \n",
       "15    1  0.000741  55.539615  44.171306  3_rois  10/23/2024      3         1   \n",
       "16    1  0.000262  55.539615  44.171306  3_rois  10/23/2024      3         1   \n",
       "17    1  0.000573  55.539615  44.171306  3_rois  10/23/2024      3         1   \n",
       "18    1  0.000696  55.539615  44.171306  3_rois  10/23/2024      3         1   \n",
       "19    1  0.003024  49.461702  44.155319  2_rois  10/29/2024      2         1   \n",
       "20    1  0.004732  49.461702  44.155319  2_rois  10/29/2024      2         1   \n",
       "21    1  0.001213  49.461702  44.155319  2_rois  10/29/2024      2         1   \n",
       "22    1  0.000772  49.461702  44.155319  2_rois  10/29/2024      2         1   \n",
       "23    1  0.001586  49.461702  44.155319  2_rois  10/29/2024      2         1   \n",
       "24    1  0.001457  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "25    1  0.000331  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "26    1  0.000522  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "27    1  0.000522  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "28    1  0.001758  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "29    1  0.001078  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "30    1  0.001983  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "31    1  0.000381  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "32    1  0.000724  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "33    1  0.000607  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "34    1  0.001166  49.523179  43.783664  3_rois  10/29/2024      3         1   \n",
       "35    1  0.001892  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "36    1  0.000164  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "37    1  0.001605  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "38    1  0.000428  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "39    1  0.002249  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "40    1  0.000178  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "41    1  0.000454  51.297405  38.666667  2_rois   7/19/2024      2         1   \n",
       "\n",
       "    Recording                                              trace  \\\n",
       "0           1  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "1           2  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "2           3  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "3           4  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "4           5  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "5           6  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "6           7  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "7           8  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "8           9  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "9          10  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "10         11  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "11         12  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "12         13  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "13          1  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "14          2  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "15          3  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "16          4  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "17          5  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "18          6  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "19          1  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "20          2  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "21          3  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "22          4  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "23          5  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "24          1  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "25          2  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "26          3  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "27          4  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "28          5  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "29          6  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "30          7  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "31          8  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "32          9  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "33         10  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "34         11  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "35          1  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "36          2  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "37          3  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "38          4  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "39          5  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "40          6  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "41          7  C:/Users/jjudge3/Desktop/Data/mm_full_pipeline...   \n",
       "\n",
       "    Stim_Current Electrode_Type Slice_Type  Drug  Activation_Threshold  \n",
       "0             50         single    coronal  ACSF                  40.0  \n",
       "1             30         single    coronal  ACSF                  40.0  \n",
       "2             20         single    coronal  ACSF                  40.0  \n",
       "3             30         single    coronal  ACSF                  40.0  \n",
       "4             20  extracellular    coronal  ACSF                  40.0  \n",
       "5             20         single    coronal  ACSF                  40.0  \n",
       "6             50  extracellular    coronal  ACSF                  40.0  \n",
       "7             50  extracellular    coronal  NBQX                   NaN  \n",
       "8             50         single    coronal  NBQX                   NaN  \n",
       "9             30         single    coronal  NBQX                   NaN  \n",
       "10            20  extracellular    coronal  NBQX                   NaN  \n",
       "11            30  extracellular    coronal  NBQX                   NaN  \n",
       "12            50         single    coronal  NBQX                   NaN  \n",
       "13            50         single    coronal  ACSF                  40.0  \n",
       "14            20         single    coronal  ACSF                  40.0  \n",
       "15            10         single    coronal  ACSF                  40.0  \n",
       "16             5         single    coronal  ACSF                  40.0  \n",
       "17            10         single    coronal  ACSF                  40.0  \n",
       "18             5  extracellular    coronal  ACSF                  40.0  \n",
       "19            50         single    coronal  ACSF                  65.0  \n",
       "20           100         single    coronal  ACSF                  65.0  \n",
       "21            30         single    coronal  ACSF                  65.0  \n",
       "22            40         single    coronal  ACSF                  65.0  \n",
       "23            50         single    coronal  ACSF                  65.0  \n",
       "24            50         single    coronal  ACSF                  37.5  \n",
       "25            20         single    coronal  ACSF                  37.5  \n",
       "26            30         single    coronal  ACSF                  37.5  \n",
       "27            25         single    coronal  ACSF                  37.5  \n",
       "28            50         single    coronal  ACSF                  37.5  \n",
       "29            40         single    coronal  ACSF                  37.5  \n",
       "30            50         single    coronal  NBQX                   NaN  \n",
       "31            20         single    coronal  NBQX                   NaN  \n",
       "32            30         single    coronal  NBQX                   NaN  \n",
       "33            25         single    coronal  NBQX                   NaN  \n",
       "34            30         single    coronal  NBQX                   NaN  \n",
       "35           100         single    coronal  ACSF                  90.0  \n",
       "36            60         single    coronal  ACSF                  90.0  \n",
       "37           120         single    coronal  ACSF                  90.0  \n",
       "38            80         single    coronal  ACSF                  90.0  \n",
       "39           100  extracellular    coronal  ACSF                  90.0  \n",
       "40            70         single    coronal  ACSF                  90.0  \n",
       "41            80         single    coronal  ACSF                  90.0  "
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def read_traces_file(filename): \n",
    "    data_arr = pd.read_csv(filename,\n",
    "                                 sep='\\t',\n",
    "                                 header=0)\n",
    "    return data_arr\n",
    "\n",
    "# open export summary csv\n",
    "df_export = pd.read_csv(export_summary)\n",
    "\n",
    "# divide amp by 1000\n",
    "df_export['amp'] = df_export['amp'] / 1000\n",
    "\n",
    "# join the two dataframes on Date, Slice, Location, and Recording matches\n",
    "df_export = pd.merge(df_export, theta_catalog_df, on=['Date', 'Slice', 'Location', 'Recording'])\n",
    "\n",
    "df_export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "7c8db79e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\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>ROI</th>\n",
       "      <th>amp</th>\n",
       "      <th>X_Center</th>\n",
       "      <th>Y_Center</th>\n",
       "      <th>ROI_Set</th>\n",
       "      <th>Date</th>\n",
       "      <th>Slice</th>\n",
       "      <th>Location</th>\n",
       "      <th>Recording</th>\n",
       "      <th>Stim_Current</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.207293</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.091818</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.700824</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>0.006961</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>0.011112</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0.793511</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>0.267978</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>0.068992</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0.453925</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>0.052527</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>0.002022</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>0.518116</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.089024</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>0.075545</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>0.649313</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>0.166539</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>0.062885</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>0.215164</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>0.187985</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3</td>\n",
       "      <td>0.011930</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>0.770143</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2</td>\n",
       "      <td>0.175733</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3</td>\n",
       "      <td>0.111377</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>0.328308</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3</td>\n",
       "      <td>0.129050</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>0.812398</td>\n",
       "      <td>46.963964</td>\n",
       "      <td>41.873874</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2</td>\n",
       "      <td>0.288044</td>\n",
       "      <td>61.449102</td>\n",
       "      <td>57.742515</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>0.179643</td>\n",
       "      <td>28.993289</td>\n",
       "      <td>28.697987</td>\n",
       "      <td>1_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1</td>\n",
       "      <td>0.630894</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>0.123548</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>0.379219</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1</td>\n",
       "      <td>0.246311</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1</td>\n",
       "      <td>0.223064</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>0.057227</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1</td>\n",
       "      <td>0.726025</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1</td>\n",
       "      <td>0.640191</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1</td>\n",
       "      <td>0.816188</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>58.874233</td>\n",
       "      <td>60.325153</td>\n",
       "      <td>2_rois</td>\n",
       "      <td>11/11/2024</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ROI       amp   X_Center   Y_Center ROI_Set        Date  Slice  Location  \\\n",
       "0     1  0.207293  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "1     2  0.091818  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "2     3  0.000000  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "3     1  0.700824  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "4     2  0.006961  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "5     3  0.011112  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "6     1  0.793511  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "7     2  0.267978  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "8     3  0.068992  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "9     1  0.453925  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "10    2  0.052527  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "11    3  0.002022  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "12    1  0.518116  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "13    2  0.089024  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "14    3  0.075545  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "15    1  0.649313  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "16    2  0.166539  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "17    3  0.062885  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "18    1  0.215164  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "19    2  0.187985  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "20    3  0.011930  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "21    1  0.770143  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "22    2  0.175733  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "23    3  0.111377  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "24    1  1.000000  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "25    2  0.328308  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "26    3  0.129050  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "27    1  0.812398  46.963964  41.873874  1_rois  11/11/2024      1         1   \n",
       "28    2  0.288044  61.449102  57.742515  1_rois  11/11/2024      1         1   \n",
       "29    3  0.179643  28.993289  28.697987  1_rois  11/11/2024      1         1   \n",
       "30    1  0.630894  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "31    1  0.123548  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "32    1  0.379219  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "33    1  0.246311  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "34    1  0.000000  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "35    1  0.223064  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "36    1  0.057227  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "37    1  0.726025  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "38    1  0.640191  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "39    1  0.816188  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "40    1  1.000000  58.874233  60.325153  2_rois  11/11/2024      2         1   \n",
       "\n",
       "    Recording  Stim_Current  \n",
       "0           1            10  \n",
       "1           1            10  \n",
       "2           1            10  \n",
       "3           2            50  \n",
       "4           2            50  \n",
       "5           2            50  \n",
       "6           3            80  \n",
       "7           3            80  \n",
       "8           3            80  \n",
       "9           4            30  \n",
       "10          4            30  \n",
       "11          4            30  \n",
       "12          5            20  \n",
       "13          5            20  \n",
       "14          5            20  \n",
       "15          6            30  \n",
       "16          6            30  \n",
       "17          6            30  \n",
       "18          7            15  \n",
       "19          7            15  \n",
       "20          7            15  \n",
       "21          8            40  \n",
       "22          8            40  \n",
       "23          8            40  \n",
       "24          9           100  \n",
       "25          9           100  \n",
       "26          9           100  \n",
       "27         10           120  \n",
       "28         10           120  \n",
       "29         10           120  \n",
       "30          1           120  \n",
       "31          2            20  \n",
       "32          3            50  \n",
       "33          4            30  \n",
       "34          5            10  \n",
       "35          6            25  \n",
       "36          7            15  \n",
       "37          8            90  \n",
       "38          9            70  \n",
       "39         10           110  \n",
       "40         11           200  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# make a new dataframe with normalized amp and current\n",
    "df_export_norm = df_export.copy()\n",
    "\n",
    "# restrict to Drug == ACSF only\n",
    "df_export_norm = df_export_norm[df_export_norm['Drug'] == 'ACSF']\n",
    "\n",
    "# min-max normalize the amp, each Date/Slice is normalized independently\n",
    "df_export_norm['amp'] = (df_export_norm['amp'] - \n",
    "                         df_export_norm.groupby(['Date', 'Slice'])['amp'].transform('min')) / \\\n",
    "                        (df_export_norm.groupby(['Date', 'Slice'])['amp'].transform('max') - \n",
    "                        df_export_norm.groupby(['Date', 'Slice'])['amp'].transform('min'))   \n",
    "\n",
    "# center the current on the Activation_Threshold (via subtraction only)\n",
    "#df_export_norm['Stim_Current'] = df_export_norm['Stim_Current'] - df_export_norm['Activation_Threshold']\n",
    "\n",
    "# add more data to the plot from ec_summary_df\n",
    "ec_summary_df['amp'] = (ec_summary_df['amp'] - \n",
    "                         ec_summary_df.groupby(['Date', 'Slice'])['amp'].transform('min')) / \\\n",
    "                        (ec_summary_df.groupby(['Date', 'Slice'])['amp'].transform('max') - \n",
    "                        ec_summary_df.groupby(['Date', 'Slice'])['amp'].transform('min'))\n",
    "ec_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "68f7d322",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make plots of amp vs. Stim_Current, with  different shape for each Date/Slice \n",
    "# and different color for each Date/Slice\n",
    "\n",
    "# set matplotlib font size\n",
    "plt.rcParams.update({'font.size': 20})\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "colors = ['r', 'g', 'b', 'c', 'm', 'y', 'k']\n",
    "i = 0\n",
    "\n",
    "df_export_norm_single = df_export_norm[df_export_norm['Electrode_Type'] == 'single']\n",
    "df_export_norm_ec1 = df_export_norm[df_export_norm['Electrode_Type'] == 'extracellular']\n",
    "#df_export_norm_ec1['Stim_Current'] = df_export_norm_ec1['Stim_Current'] + df_export_norm_ec1['Activation_Threshold']\n",
    "\n",
    "for key, grp in df_export_norm_single.groupby(['Date', 'Slice']):\n",
    "    i = (i + 1) % len(colors)\n",
    "    if i != 2:\n",
    "        i += 1\n",
    "        continue\n",
    "\n",
    "    #ax = grp.plot(ax=ax, kind='scatter', x='Stim_Current', y='amp', marker='o', color=colors[i])\n",
    "\n",
    "    # fit a logisitic curve to this group's data and plot it\n",
    "    x = grp['Stim_Current']\n",
    "    y = grp['amp']\n",
    "    '''p0 = {'c': [0.9, 3, 0.05, 0, 0.1],\n",
    "          'r': [0.9, 3, 0.05, 0, 0.1],\n",
    "          'b': [0.9, 1, 0.05, 0, 0.1],\n",
    "          'm': [0.9, 1, 0.05, 0, 0],\n",
    "          'g': [0.9, 1, 0.05, 10, 0.1] }[colors[i]]\n",
    "    try:\n",
    "        popt, pcov = curve_fit(logistic_fn, x, y, p0=p0)\n",
    "    except:\n",
    "        print(\"Failed to fit logistic curve for group\", key, \"color\" , colors[i])\n",
    "        i += 1\n",
    "        continue\n",
    "    x_fit = np.linspace(-30, 30, 100)\n",
    "    y_fit = logistic_fn(x_fit, *popt)\n",
    "    ax.plot(x_fit, y_fit, color=colors[i], alpha=0.3, linewidth=3)'''\n",
    "\n",
    "    # bin this group and plot the mean\n",
    "    grp.groupby('Stim_Current')['amp'].mean().plot(ax=ax,\n",
    "                        marker='o', color=colors[i], label='Single Cell Stimulation')\n",
    "\n",
    "    \n",
    "    i += 1\n",
    "\n",
    "\n",
    "\n",
    "# make a second plot of extracellular data, df/f vs. Stim_Current, binned by Stim_Current\n",
    "# Now bin to the actual Stim_Current values, not the centered values\n",
    "colors = ['tab:orange', 'tab:green', 'green', 'tab:purple', 'tab:brown', 'tab:pink']\n",
    "i = 0\n",
    "for key, grp in ec_summary_df.groupby(['Date', 'Slice']):\n",
    "    i += 1\n",
    "    if i != 2:\n",
    "        continue\n",
    "    color = colors[i]\n",
    "    #ax = grp.plot(ax=ax, kind='scatter', x='Stim_Current', y='amp', marker='o')\n",
    "    # bin this group and plot the mean and SEM\n",
    "    grp['Stim_Current_bin'] = pd.cut(grp['Stim_Current'], bins=10, labels=False)\n",
    "    grp['Stim_Current_bin'] = ((grp['Stim_Current_bin']) * grp['Stim_Current'].max() / 10) + grp['Stim_Current'].min()\n",
    "    grp.groupby('Stim_Current_bin')['amp'].mean().plot(ax=ax,\n",
    "                        marker='x', color=color, label='Extracllular Stimulation' )\n",
    "\n",
    "# put the slices from the ec_summary_df_2 and ec_summary_df_3 slice 1's on the plot\n",
    "'''ec_summary_df_2 = ec_summary_df_2[(ec_summary_df_2['Slice'] == 1) & (ec_summary_df_2['Location'] == 2) & (ec_summary_df_2['Recording'] <= 3)]\n",
    "ec_summary_df_2['amp'] = (ec_summary_df_2['amp'] -\n",
    "                            ec_summary_df_2.groupby(['Date', 'Slice'])['amp'].transform('min')) / \\\n",
    "                            (ec_summary_df_2.groupby(['Date', 'Slice'])['amp'].transform('max') -\n",
    "                            ec_summary_df_2.groupby(['Date', 'Slice'])['amp'].transform('min'))\n",
    "\n",
    "\n",
    "# plot the data\n",
    "ec_summary_df_2.groupby('Stim_Current')['amp'].mean().plot(ax=ax, yerr=ec_summary_df_2.groupby('Stim_Current')['amp'].sem(),\n",
    "                        marker='o', color=colors[i+1], label='Slice ' + str(i+1))\n",
    "#ec_summary_df_3.groupby('Stim_Current')['amp'].mean().plot(ax=ax, yerr=ec_summary_df_3.groupby('Stim_Current')['amp'].sem(),\n",
    "#                        marker='o', color=colors[i+2], label='Slice ' + str(i+2))\n",
    "'''\n",
    "ax.legend()\n",
    "ax.set_xlabel('Stimulation Current (μA)')\n",
    "ax.set_ylabel('Normalized Δf/f')\n",
    "#ax.set_xticks([-55, -30, -5, 20, 45])\n",
    "#ax.set_xticklabels(['0', '25', '50', '75', '100'])\n",
    "ax.set_xlim(0, 200)\n",
    "plt.savefig(data_dir + \"amp_vs_stim_current_binned.png\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ba894e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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xt/pvuCG6rqmtWy3Of/6z4uvGUlGR/fLYv9/dOChQAibjjh3tJ6rvp+VLL5WeX1hoH9bly/0fyiZNrH/T93jyZJt/zDHW3xwEk3Ec5OdbBQagesoplsxSU+3x1Vf7E/LatfbFescdobe1d69tw/cFnZNjLXjfPv/xx/DxfPed/UoCVDMyKv56nPEGBSzRB/rpp/K/MqqK73+d3S5ekmDJ2Dc49NBDVgXwwQeHLjm7+GL9Y6S9sND6gV95pfTP1RCYjONk924bUMzLs8clJdb3D6j++9/WV3zeeTbYt2nTobe1aZN9OW/ebI8/+cSS+IABkcdTXKzavr0N9LVta7FEYutWqz7p08cqPvr188+bM8dezwkn2DhHVcrLs9gB1fr17UsqmPx8+/xs21a18SS7TZusm7TaJePffrOfro8/bn1627f75+3ZY0kYsJH7SKxdq5qeHlWNMJOxi0pKrOKhXj3V1q0tuWRmRretffsqvs7KldYyP+00+3/zdYfs2GGNgGD+7/+sobBqlXW71K5tX/4PPli6S6yiLe7t20MPRAfz5pv2PL4+8XfeCb5cz576R/25r8yRYqukRPX88510W52S8dq15Q8i6NjREukXX9gHE7CBujhgMnbZ+vVWGnfkkTao6oYDB1T/538ssQ4caP+DNWqofvNN6eV27rTWcGqqPc7J8Vf5+Pqup0+3g2d8g4yR+P571YYNrRIl0oHFXr38pYgtWqhee235ZebO1T+qhmrUKF0DHg9FRckxUDp/vr3PzzyjWm2S8ZYt9pOwUSMbTNu923/wwKRJ9qH8059Up04N/bMrxmbNmqWzfOVv5I7iYvePfMzNtYRWo4a1cmrVstpzn5IS1euuswHIrCz/9Lw8a9WuXWsH3qha67lGjdCt60AlJaqXXOJP6JEMCu7ebV0lvgNzhg61L5DAA12Ki+0An6OPtq6K4cOtRb94scW7fn3456mMAwfsICGRyLuAqqsxY2x/WxdcNUjG27fbIE79+qpffeWfXlKievbZ/n/GadNi/tREEfMdUPLgg5ZIfDXWDz+sfxxeHs66dap16tjt8MOtTzyUJUv8/ebXXGMD1oEDgNOmWVfKPff4p7/wgq3z9df2+LvvLNaUFDvKsKTE39XnK/vLy7P6+vr1La4aNawBFOz1z5hR+UHITz/1f6br1Kl88i8utm7NPn28d6TspZfaeIfxeDIuKbFuhzp1VD//vPz8rCz7aTdqVNyPglu6dKkuXbo0rs9J1cAvv+gfB5CkpdnfAwZE/v/5xhuqF1xg5wSpVcvfai5r1CgbfMzN9Q8ATpxovyJHjbLHvmqR889XffJJ69Lo2LF0LBMmWHcF4O8DLxvve+/Zl0PXrv7B0sBuBN/nFLDSvbKvtbjYDrL629+sa2X9ehvA7NfP4g90443W9bR6tW3v4Ycje99C8X25+I4tuPVWO9I0La38c6tafMOGWc37ypWVe+5D2bfP9u8//uGb4vFk/OKLWupIrWBcOhSZfcYUkq/8zleCF00978aN1oXQs6c1Oj74wN/NUVxsRxlefbU9Duyy8B1qPniwVWa8/77VzQP2SzJYcvdVqDRsaEn1UBUda9aUr8v2HWTTsKE/+V9xhf+5fIOGvpuIv6Kja9fSB/+0bu3vx+7Sxbofo/2MZ2XZF9Z111nL/e67S8fRtq3qf/5j790dd/jPl1Knjr1nvgOODmXsWOuWWr06spiKi+3LYOZMe67PPvPN8XAyXrLE3pQrrrC6YI9hMqaQNm+2w+jvvbdypWoPPFA6eQA2UOg7e15g5cWWLaojR9o6vhNa+RQUWHKPVcPlqqtsELC42CpIGja0o14LC63szxdr7962fLduNq6Tl2fVUCNH+iuZfAPxq1dbjIAdIamq+tpr9njhwshj27vXqkt+/92ON2jRonQL+L33rDU6ZYo/ziZN7AtCxH5V5OVZAxCwPLR1a/Dnys31f6l062bdqGPHhj4PTkGBDaAC1idft25gJYwHk/Hixap//av9xDruOM/WOTIZU5UrKbGSvbfftgqNe+7xJ5Bjj636muRQpk61GObMUR092pLYsmU278AB+8zedZcNWi5aZPNDnYHvrbcsGZ5zjn25BPZp795tvw6GDLHziowZYwnfp6jIvhgGDLD3Yv5869tu0MAqTESCd2/6LFpklQyFhaq//lr6XCo7d9q2fO93sH7yiRNt3i23lP7CbNfO+s737LFukSFDrKQxJcXmp6Za3/u4cYFbczEZjx9vfWOB/TJ791oSrl/fAg8cffYYJmNyxfjxqmedFfqkR/Gwb5//tKoNGqj27Vt+mbVr/V0mQOi+b1V/C/ioo2y7gd0W111XOtENGeKf99//+qdPnGh93i1aWPdN48Z2aoTKSE/3lyA2a1a+Jj011fr2S0qsRTxmjOq779ryTzzh77v33WrVsm4RVUv2pX+puJSM16wp/Q3va9b7fhoEVk14FJMxJTVfK/2ww0L3lw4Y4O9aOZQDB+zoQ8AG+QItW2Z9u716WddPzZr+CxH06GHJMLCqKprD1MP54gsNqAf2x9yokf80sYG6d/fHc8MN1qgcO9b/6yE4l5Kx76Qtn3xio7TnnGPfFGedpXruuRFtwm0LFizQBQsWuB0GkTsKC62sbubM0MsUF9vBLJF0p3z+uf2kP9Q5QnJyrNuif3/7FV23rtVBf/ml/ey/8sqqGV8qKbGBxpo1rb+5oMDfbx/sF8oPP9iy9epFVjNuQubUqr06dJcuwO7ddsn56dOBnj2BAwds3qRJVXtNNCKqvu6+Gxg/HrjzTuDpp4G5c+0ai1u22JXRa1TR5Tvz8oARI4A33gBOP92ucr5tG7B5M1CnTvnlt2wB8vOBNm0ifYaQVzOOPhmvWqVo2RK4/HKgdm1gxgygbl3//KIioGFDYNAg4Nlnbdq0aXYRzI4dgSlTqu4NjaGFCxcCADp16uRyJERJZMcO4NRTgdxc4IwzgGXL4ntV9s8+A264weJ4802gX79YbbkKkvGECYratS25AnZV4EGD/PO//daS7tSpQN++0T2HB6SkpAAA5s2b52ocRElnyRLg9deBoUOBdu3i//z79wOFhdaojJ2Qybhm1JucMQNYt84uBV9QYN0Ogcl4+nT7JuvSJeqnIKIk1qGD3dxSp07wrokqUrlkDABvvw1kZwOjRwO//gqceKI17adOtUTdvHlsIiUiSmDRJ+PWrYHzzweuvRbIyQHuvx+45x6gXj1g8mRb5u23YxQmEVFiiz4Z//ILUNNZ/fjjrYti4kR7PHw40KOHDe4REVFYsSttKy4GPvrIuinc7OeJsaysLABA+/btXY2DiBJCFVRTRFJnTEREgUImY+8X+rps9uzZmD17ttthEFGCY8s4DNYZE1EMsWVMRORlTMZERB7AZExE5AFMxkREHsABvDBWr14NAGjbtq3LkRBRAmCdMRGRB7CaIlqZmZnIzMx0OwwiSnBsGYfBOmMiiiG2jImIvIzJmIjIA5iMiYg8gMmYiMgDOIAXxoYNGwAArVq1cjkSIkoArDMmIvIAVlNEKyMjAxkZGW6HQUQJji3jMFhnTEQxxJYxEZGXMRkTEXkAkzERkQcwGRMReQAH8MLIzc0FADRr1szlSIgoAbDOmIjIA1hNEa309HSkp6e7HQYRJTi2jMNgnTERxRBbxkREXsZkTETkAUzGREQewGRMROQBHMALIz8/HwBQv359lyMhogTAOmMiIg9gNUW00tLSkJaW5nYYRJTg2DIOg3XGRBRDbBkTEXkZkzERkQcwGRMReQCTMRGRB0Q9gCciN6vqyzGOhzyK+zu5cH/HX2VaxjfHLAqqDri/kwv3d5yxm4KIyAOYjImIPKAyyZj9ScmF+zu5cH/HWWWOwCMiohhhNwURkQcwGRMReQCTMRGRB1QoGYtISxF5TURyRGS/iGSLyL9FpHFVBUiVJyLXishzIvKViOwRERWR/4RZp5OITBORnSKSLyLLRGSEiBx2iHWuF5FvRWSviOwWkXki0iP2r4hCEZGmIjJIRD4QkV9EpMDZF/NF5CYRCfqZ5/72AFWN6AbgJABbYafO/BDAYwDmOI9XAWga6bZ4i+8NQJazn34H8JPz938OsXxPAMUA9gJ4FcCTzj5WAP8Nsc54Z/4GABMAvABghzNtmNvvQbLcANzqvOc5AKYAGAfgNQC7nOnvwhm45/721q0iO3mG80bfXmb60870iW6/GN5C7rsuAE6GnUs15VDJGMCRALYB2A/gvIDpdQEsdNbtV2adTs70XwA0Dph+gvMBLQRwgtvvQzLcAHQFcDWAGmWmHw3gN2c/pXJ/e+8WUTeFiLQBcAWAbOcbMNCDAPYBGCAiDSLZHsWXqs5V1TXqfGLCuBbAUQCmqur3AdsoBHCf83BImXVude7/pap5Aetkw/5f6gC4IcrwqQJUdY6qZqpqSZnpWwBMdB6mBMzi/vaISPuMuzr3M4Ps5N8BLABQH8CFMYyN3OHb19ODzPsSQD6ATiJSJ8J1PiuzDLmnyLkvDpjG/e0RkSbjts79zyHmr3HuT6lcOOQBIfe1qhYD+BVATQBtAMD5NXQcgL2qujnI9vi/4QEiUhPA352HgUmU+9sjIk3GDZ373SHm+6Y3qlQ05AUV3df836geHgNwBoBpqjojYDr3t0fEqs7Yd5E9Hlud+KLd1/zfcImIDAcwClYhMaCiqzv33N9VLNJk7Pu2axhi/pFllqPqq6L7Otzy4VpSVIVE5DYAzwD4EUAXVd1ZZhHub4+INBmvdu5D9QOd7NyH6lOm6iPkvnb6HU+EDQCtAwBV3QdgE4DDReSYINvj/4ZLRGQEgOcBrIAl4i1BFuP+9ohIk/Fc5/6KskfwiMgRAC4GUADg6xjGRu6Y49z/Oci8S2FVMwtVdX+E63QvswzFgYj8E3YwRhYsEW8LsSj3t1dEWpAMHvSREDdEdtDHdvAggGp7A3C/sz++B9AkzLLc3x65RXw+YxE5ydk5zQF8BDustiPs6K6fAXRS1R0RbYziSkR6AejlPDwawJWwn51fOdNyVfWuMsu/C/tQTQWwE8D/g5VBvQugj5b5xxGRpwCMBLDRWaY2gL4AmsK+wJ+P/SujskTkegDpAA4CeA7B+26zVTU9YJ1e4P52XwW/cVsBeB3AZgAHAKyHDQ4c8tuXN3dvAMbAWjKhbtlB1rkYwDQAebAuqOUA7gRw2CGe53oA38GOyPwdwBcAerj9+pPpFsG+VgDzuL+9d+OVPoiIPIDnMyYi8gAmYyIiD2AyJiLyACZjIiIPYDImIvIAJmMiIg9gMiYi8gAmY4qaiAx0rjQ90O1YKkJEmjhXQS57CTFXiEimiKwVkdpux0LuYTImAICTVCtyG+h2zJXwMIB6AB51OxDH/bCzow13OxByD4/AIwCAiIwJMnkE7Py0z8Au9R7oQ9gleY4BsFlVq8X5a0XkeABrAbyuqje7HY+PiEwDcBGAlmqnqaQkw2RMIYlINoDWAE5Uu/JvtSci/wJwL4CLVXWh2/H4iEhf2El6BqvqJLfjofhjNwVFLVSfsYhkO7fDRWSCiGwQkQIRyXLOEAYRqSki94rIGhEpdPpMhx3iua4UkWkikisi+53lnxSRRhWIV2CXkN8QLBGLSLrzek4UkWEi8qMTW7YTqzjL9RaRb0Vkn4hsE5HnRaRukO1d4vQHb3Ri3iIiX4vIg0HC+wh21rSbIn09lFhquh0AJaxaAGYBaAJLNLUBXAfgPRG5AsBQ2ClYP4OdS7c3gOdEZLuqZgRuSEQeAPAQ7NSOnwDYBuAsAHcBuEpELlLVPRHEdDqsW2VqmOXGw877nAlgJux0kv8CUFtEdsIu7vkh7BSklwO4DcBhAIYExPxnAJ8C2APgY9jVMZoAaOe89ocCn1BVC0VkMYCLRKRhden2oRhy+7RxvHn3BiAbdsrFE0LMH+jMHxhivUwAdQKmX+JM3wk79WKjgHltYKdlXVpmW12cdRYGLl/m+SdE+HpudZYfFWJ+ujM/G8BxAdMbAciFnSpyO4B2AfPqwK4vtx9A84Dp7znbOjvI8zQL8fwTnHWucnvf8xb/G7spqCqN0IDL9ajqV7BBv8YA/qmquwLmrQOwAMCZInJYwDZ8FQaDA5d31kmHXVbobxHGc7xzvznMco+o6qaA59kFa93WB/Ciqv4UMG8/gAxYy79dkG0VlJ2gqrkhntd3jbrjQ8ynBMZuCqoqu1R1bZDpObAyrsVB5m2C/dw/2vkbsAqDIgC9RaR3kHVqAzhKRJpq+CvNNHXu88Is932IuIHQcQNAy4BpUwBcA+AbEcmAXUdygapuPMTz+q7c3CxMfJSAmIypqoTq8ywGAA3eJ1rs3NcKmNYU9n8abNAr0OGw668diq+VWm6wrYxDxRZR3Kr6voj0ADAKwI0AbgEAp194tKrOCrKdemXipCTCbgryut0A8lRVwtzWR7At3xWSmx5yqRhR1U9VtSusW6YbrE/4dACfiMhpQVbxxRXqSs6UwJiMyeu+BtBYRE6PwbaWOfenxmBbEVPVfao6R1VHwo76qw3/Je0D+eLKilds5B1MxuR1E5z7V0Tk2LIzRaSBiFwY4ba+gl01OdLloyYi3USkXpBZLZz7/CDzLoRVbayossDIs9hnTJ6mqp+LyD0AxgFY4xw2/Cusj7g1gM4A5gP4cwTb2i0inwNIEZHGqhpuIK8yngJwgojMg5XKHQBwLoCusKuql6p1FpG2sCqKl1WVh8UmIbaMyfNU9XEAl8IOorgYds6M3gCOA/AygPsqsLk0WDdBv9hGWc6jsANaTgcwCFbj3MKZfn6QL4LrnfsXqzgu8iiem4KSilPDvBzWUj3HC61QEakDYB2An1T1MrfjIXewZUxJRVUPwg6jPhtWB+wFQ2C11aPcDoTcw2RMSUdVpwG4A+HrjeNlP4CbVPUHtwMh97CbgojIA9gyJiLyACZjIiIPYDImIvIAJmMiIg9gMiYi8gAmYyIiD/j/ZoLtJ9j9fccAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 8\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 10\n"
     ]
    },
    {
     "data": {
      "image/png": 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Orl0afN97T28+3XOPdhezbkyFsny5Lh97TIf43nKLDibw069fP/Tr18/R4ifMMccAt96qAeuxx/TmWvfudrtrIJUqOXPu9HS9Jl984czxvv9el2lp9rqWLXVwyq5dmjvjhhv0Qy/eOSsOH9YKgFvJkiwrVmjubKtt3uoFA9jvbSo1SmcwHjVKuzi1bQt8/jnwwQfalatrV/0HCTcXxPLlGnxSU/Wf/YUXim2Sm5uL3Nxch/+ABHrmGQ1Y27bpa/Xee4k5b+XKej2mTHEmaE2bpj0p6tWz17VvrzXBMWM013KPHtpNL97B+IUXgPPPLz4J7Fdf6U3ZRx91rnkmmH37tBlqxAjNR3LggL7vTztNHwzGpU9JDcohHu54+mm9SXPLLSLvvGPftPn0U5E9e/SG1QMPhHesiy4SadWqxE0cuYFXVk2cqNcmOzv6YxQUiEyapMd59NHCz61YYV//M87Qm5KXXCJy9tkxFTukzp31nKmp9ro9e0Rq1NAc1oDI0KHxLYP12t57ry7/8x+Rhg1F+vYVuewykWbN4nt+ilbQmFq6gnFurr7Ze/bUhO6HD4uceab+c1i9A849V6RTp+L7rlkj0ru33oW31KsnMmBAiadkMI7Bpk36Fhs/Prr9V60SqVtXj/H3v4vs21f4+aNHRXr00Oc//ljXDRsmUr16bOUuyaFDIhUriqSk6HnXrNH1VgL++fNF+vfXMhw4EL9yWL1Wjh7VD58mTfT8Tz9t96LJz4/f+b1gwQL925980u2SRCJJelNMmqQDCsaO1WaKChU0x+706XbvgA4dtP2w6MCD9HTgo4/sHg1//KFtbU4MP6bAGjTQZoPp06Pb/9//1q/jb7+tmeKqVi38vDHaRLVyJXD55bru1FP1nkG4KUQjtW6dthk/9JAOdOnZU2flfvttvQHarp3mtv7zT31vxstPP2kznTHav9q6kdmtm76nCwoKTxaQjMaN04yIY8d6Y0qwGJWOYPzCC/pGf/hhbYds1Mh+rnLlwkOIu3fXu/j+c8Ht2qX5JgC94wzYbWrRJnKn8PToocH4/POBRx4Jf7/cXP3g/L//A66+OniO58qVC/ewsG5ObtoUbYlLZnWbu+gi4K679PeePXWo+8CBGhyt91S8ssrt2qXHbtNGf7/5Zu1Z1LmzzshiVTCsHijJKD9fPwSrVdMeQEuXul2imHk/GOfn6z/xypXAyScDL75Y8vZduujQXisXMVB4pg1rRJoVjFkzjq/rrwcOHdLeB4FuHgbL7ZyZqcuik7+GYvVDtpIKOc2qbTZrBjzxhOYwGT0aGD4cuP12uwzly8cvGC9cqEsr0161avr3Tpmivzdtqvk7MjKSosYY0MKFetPyySf1d6svfSnm/WA8c6bWBKZN02aFpk1L3r5iRe03/Nln9h3tqVO1y1OvXpp/AtBgXL164bvzAYwYMQIjRoyI/e8oq1q00EB8662aDN6/+eDTT/WD86OPiu/33/9qza9Jk8jOd/rpuoxX4vmVKzXYHnOM1oKPOw64805NIVqhgm5jzYkYr2BsNX+0bm2vq1RJvyUA+kEwZIj28b7++viUwW1W8O3bV6+BlQGxFPN+MLa+arVrF/4+/ftrsp+MDE2F+fLLumzaVAN6QYEG47POCjwSzc+ll16KS60MaBSdDh30az2gg3QAbe+7/HKds+/WWwtvP3eudse75prIz1Wzpn6Dys6OrczBrFqlEwaE0qRJ/ILx99/re7mkqcDuv1//DzIykjMJ/7x5+hrUrq3NQgzGCbB8udYyqlULf59OnbSGNGyY1rCuvVb7Jtevr1+Lt23Tf9YwmihWr16N1ZzeJ3bWN5qNGzWZ0F13aT7ke+7RD8i8PH2ud2+dCeWUU3QQRzTOPDM+wbigQL9ZRRKMnRwY8vvvOnvLl18Cl1xS8rYVKuh7XiT6G6heJaI14w4d9PcWLfR6W6/18uWF53MsJbwfjLOzI7/JVq6c5qho315zBE+aBJx4ogZjQGsWu3eHFYyHDBmCIUOGRFFwKsSaS2/rVv22c+SIZo7r3FnXL1+uN2g//lhH2X32mU7vFI2zztKa0qFDzpT97bc1V8eDD2o7pf8Nw2CaNNH25J07nSnD/Pk6mKN3bw20N94Yep9GjTR/h/VtJF5ef11v1Mbr20hRa9bo62oF43bttCnTGpHYsqX+7//2W2LK45AKbhegRCJau+jWLfJ9O3Uq3qhvJVCfOlWX7EmROFWqaGDYutXukdC8uZ2vY8kS7QFz5ZWabCgW7dsDzz6rTR2RNG8FIqJf+XfutG8WWUGgJFZb97p10SVd8rdtm6ZcrVNHy3DuueG1pRuj21ozfcfDRx/Z7dKbNmngrxDnsGL1lLJmYrc+0K3KVaNG+i3rnHM0gdgbb2jzlcd5u2acl6c1EesOeaysYPz557pkME6sevW0SWLlSuD447W2XKeOfmt59139Gh7NB29R1hRQ330X+7EWLdKvvKNGaVPLwIH2vIYlsYLl0qWayP/VVzXXcjTNFvfeq/3iP/lEb1hFclPznHP0W4eV4dBJn36qfarbt9e/LTtbA1+8ZWXpNbBeh4YNtfJ1zDF6I3XNGu0WmZam/+tjx8a/TE4oaURIiEf8LVyoo4o++cS5Y1q5duvXD2tzjsBzULduIm3b6gjJdu3s9f/4hz2see1aZ851+uki//xn7Md56ikt1/btOjS7oCC8/Q4eFDn2WPvvsh5ffRXe/keOiEybJjJvnki5ciJ33BFd+d99V8+7eLGzubO3bdNRhm3aaL7so0dF0tI053TRkZJO2rxZX4/77iv+XKAc3ZdeKnLKKYGfc0cpHYFnNcJbNVonWF9lzj7buWNSeE4+WWvGGzfaM3UA9vRWNWva0ynF6vzztWYcaz/bOXO0jfjEE/VeRLhzFKak6A1KABg5Uo9TpQrw1lt6Y/nCC3UOv2Aef1y/JXTooN3W7roruvJbk8peeaV+rR89OrrjFDVmjN53mTxZb64bo00ov/2mbezx8tpr+rEW6OZuoJ5RPXpoet3ScBO+pEgd4hF/48dHP+tEMDfcoMf8/POwNp8+fbpMnz7dufOXZY88YtcQ/ZM5ffyxnfzJKW+8ocdcujT6Yxw5IlKtmsiQIdHtv327yOTJdq1syJDCteR33w2+b6tWus2554pkZkZ3fhGtyRtjn7Nr15K3z80Vuesuke++C16bXL1apHJlkauvLrz+6FGRc87RfDHxqIkeOqQ17+7dw99nwwb9u597zvnyFLV0qb5+v/8uMnVqsNwgpTRR0B13iFSp4uyF3b5d5O23vfS1pezwz7L3+uv2+qNHCydwcsLWrRqEHnus+HPvv68JZvbsKfkYVjNZSUEzEt99VzgYP/RQ4O127Qpe9mhMnKhNJh07ilStGnxqsiNHNPudVb4BA4r/n/zwg0jNmiLHHaeBp6jXXtN9v/nGmbL7mz69cFKocDVpogml4umOO7Rs5cppzAJ0mrVDh4puWUqDcZ8+hdMUumDx4sWyePFiV8uQNH780f5HnzUr/uf7+9/t1Jr+GjTQMowbV/L+Y8fqdoGCTjSOHhV56y2Rn34SadxY010G8tlnet45c5w5r4hmkHv9dT3uunWBt8nM1OdffVXk1lvlf1no/LVurXNF/vJL4GPs2ydSu3bgzImxGjpUP0z27498v2OPjV9bdna2fnj27Svy73+L9OolMny4vn63315061IajNu2Df21Ks54A89Bf/xhB+O8vPifz2qqmDnTXnfokDY9hPOVvX9/DdzxcMklImedFfi522/XZgCnU2DOnRv8JuKBA1qeZs20aWPbNt32mWfsbbZs0XWhUlaOGSMx57EOpEkTvSEXqdmzi38bc9LDD2swLjoR7qBBWkv+6y//tUFjqvs38LKz9UZH0VkTAL2B5+TNO3JX9ep6Q+Xll4FateJ/vn799OaX1a8c0OHMe/boDbZQs2EsXqxdw+KhcePgyYymT9fuYlauCaf4930u6oYb9PUYNUpvUtapo9v7J9maNUuX1tD2YK66Sm+mBco5Eq2tW7Xc6emR73vBBXrDfuTI+MzAMmWK9me35mC0DBmi57O60v7rXyUexv1gPHiwTldz3XWF868ePKid3RmMk0tWlr5JE6FKFU2m4z8NlxWAr75a3195efZzBQV2qtV9+7S/aryCcb16+qFQNO/yihVaQbHyMzupbl3ti1s0GP/4o/byePDBwpPz/u1vhQeMLF+uH2Kh+uefdJL2AvnoI30dd+yIvezffqvLCy6IfF9jtPfHxo3aH9pJ27drBrlAw9PbtNH34KJFek3feqvEQ7kbjHNy9I1w331a6Kee0hSZw4fb+WgZjCkW7drpP4s1NHrZMs2q1qeP/m7lwRXR2mi9ejo5wfLluq5Vq/iUy5r41ppM1PLBBxo8rrjC+XMaowNXrBGQlilTtDZ8xx2F159xhuaV3rtXf8/O1vkiwxlh16ePvtbHHqvBOdauZXPn6rGivR5dumgOi9dei60cluxs7cb35Zf6e/fuxbcpX15HmWZn63UN0S3S3WBszWZ75ZWazGfyZJ3d4YUXNFcsEF5SFqJgWrfWb1nWJKU//6zvqbQ0DU5WjWvBAjs15Xvv2fkc4lkzBooH448/1hGEdevG57wtWxZvnpk5EzjvvOJZ4KwcHFba2RUrNKCFo39/beoA9BuHlZ86WnPnam072qHWxmgWwB9+sL/9REpEP2A++USbPRo21LjVqFHwDwkradW8eSHfS+4G4/nztaN/ixY6o26bNjrcs25d4M03dZtwL36cPPHEE3jC+mCg0sd6/6xYoUOK58zRARfVq+s/x9ixmjnuoYf0K3zHjtrGt2SJ5tKwkks5LVDNeP16DZTxaKKwnHWW1uis5pnDh/VDKNDXf6sitHKl1o43bQo/hUCdOsDatXrfp0MHu900GlaWRSsXRbSspoQvvohu/6ee0iDcq5fmUD7+eF1/993BU/G2bKmv98yZIWv17gbjFSvsnMI1auinVmYmcNll+ryVxNtFaWlpSEtLc7UMFIPUVP26mJ2to8+OHNHMZwAwaJC22z79tOYyGDFCA+GGDVr7OeeckPmuo2bVjHNzdeKE66+3b2LHMxhbI0+//16XK1dqE441Us9fkyb6//fTT3bTRiSVo2rV9MOsc2f9prFnT3RlLqkpIBJnnqk5LaxRfJE4fBh4/nl9Te6/X+9vbdigH9olZdCzpsYCQjexlNTVIsQjNkePihx/vM7mW9SCBSJNmxafmt0F8+bNk3nz5rldDIrFGWfoLNPGiFx7beF+xzk52s1u7lwdDLF4sd39btSo+JarQQPtqmUNEgAK5+yIh4MHRU48UeTCC/V1sLr/rVoVePsuXXRU3aRJUmg27EhMm6b7fv11dGXu0cO5/BLWLN4XXRRZ90qre9yHH0Z2vr177Wu7aJGIJ/sZW30WX3wx5kPFE/sZJ4F77rH/IUKN9Cso0NFlgMiSJfEtV48edrluvVU/NPQfNr6eeUbPOXGiDtGuVk1H3wXy8MM6qqxXL5FKlYJvV5I9e3Tf4cMj33f7dpHy5UXuvjvyfQMpKBB5/nmRlBSR3r3D3+/++7Ucf/4Z+Tn79hW5807rNw8GY+vTMhEjsWLAYJwENmwQad5c5Isvwtv+9991FFy83Xef/g/UqBF+NjgnFBTo0OjatUXq1Cl5qHBOjv2Bcdll0Z/z8sv1XDNnamB96aXgw7L9jR6t5165MvpzB/LAA3rcLVvC2/7ss0U6dHDizAkOxl99paOXSnqDWUmAtm+P4e+KPwZjiptvv9Wv32++mfhzW3k3whkW/tJLmnL2xx+jP9/s2XbCImtZUgKmo0e1Fp6a6lQQLGzpUi3DpEklb7d4sSb9cS7ZUNCYaiTShmy/5uagz1g3PX76SbvM+PvrL+34//nnOqJnx4743SRxQLpvxM/s2bNdLQeR4+6/X9NL/uc/2oc33r75RrsY9u+vYwk++UR7daSkFN7u0CEdqWnN3ffGG3qz1Uki2mure3c7If6ffxbu3jdtmva8AbT3xJo1dne96AUNds73prAGawCBu5Bcfz0wYIB2gm7e3NOBmCipjRqlXUgTEYgBnY1jyBDtEmbNDF50ajRAg7QViFNT4zcAJjXVHo14113ao2vaNHub55/X5WOPAbNnOxGIS+T8ZFX+o3uKTntTUFD4jx082PHTO238+PFuF4Eo+Vj9mn/+uXi+iR9/1LwcubkaIK15Ep3WuLE9n541rmHqVE3qv369/vzQQzpMPAGcD8bWaJ1evbQZQsSu/S5dqmPxJ03S/n7t2zt+eqe1itdwWKKyrGZNnT3FPx+NZeFC7ZMb60SuoTRurAMyduzQ+RcBe0TmhAn6IZDAmeGjb6YINmXM6tX6Ql94obbBrF9vPzdnji67dSsVgRgAZsyYgRkzZrhdDKLk06yZXXmzFBRoYp2i95riwZriy/q23ry5DuL49VetMPburVOFJUj0wdiq3m/dqp8iVlvxqlX6InfqpL+PHWuPdpkzR18Aa/RRKTBy5EiMHDnS7WIQJR8rGO/fr7lCnnxSb5Lt3ZuYYGzNw2iN8Bs8WOdMvOQS7WgQ7byDUYo+GM+apQ3w6enAzTfrkMe9e/WTpVUr4PTT9ZPlpZc0j+eePXo3NZp8pESUfJo1A3buBF55RYdn33efxgsgsTVjKxgPGKDLZcu090agIeJxFH2b8Qcf6KfH2rX6Ij7xhI7t373bzk701lv66TN6tN7M27078KyuRFT2WFnhHnlE24fz8zVj47HHaqCOt1q1tMvarl2aQ6N2bSAjA3j/fTtrZAJFXzPevx/49FPg4Ye1i0zXrsDEifqcFYytHMVdu2ru4oEDNWE1EZEVcHfv1m/RVq+F4cPj14PCnzF27bhpU10OHKj5neOVwrQE0deMZ8/WrExWVX7cOM2KlJ5eOG9nuXI6k0duLhPFE5HNPx507KiDQc4/H2jbNnFlaNZMM8rFuQ9xOJwdgbdli3ZXqVgxpkJ5yWrfDAWpqakul4QoCT33nOZwHjdOK3eJtnatViDHj4/P4JLigo5yi89waCIiCiSBw6GTTFZWFrKystwuBhElOdaMQ2CiICJyEGvGRERexmBMROQBDMZERB7AYExE5AG8gRdCbm4uAKB+/foul4SIkgD7GRMReQB7U0QrMzMTmZmZbheDiJIca8YhsJ8xETmINWMiIi9jMCYi8gAGYyIiD2AwJiLyAN7ACyEvLw8AcEK8pw0norKA/YyJiDyAvSmilZGRgYyMDLeLQURJjjXjENjPmIgcxJoxEZGXMRgTEXkAgzERkQcwGBMReQBv4IWwf/9+AEDVqlVdLgkRJQH2MyYi8gD2pojWhAkTMGHCBLeLQURJjjXjENjPmIgcxJoxEZGXMRgTEXkAgzERkQcwGBMReUDUN/CMMTeKyESHy0MexetdtvB6J14sNeMbHSsFlQa83mULr3eCsZmCiMgDGIyJiDwglmDM9qSyhde7bOH1TrBYRuAREZFD2ExBROQBDMZERB7AYExE5AERBWNjzCnGmEnGmK3GmIPGmBxjzHhjTI14FZBiZ4zpY4x5wRjzrTFmtzFGjDFvh9gnzRgz1Rizyxiz3xizzBhzmzGmfAn7DDTG/GiM2WuM+csYM9sY08P5v4iCMcbUMsZcb4z5xBizzhiT77sW3xljBhtjAv7P83p7gIiE9QDQGMB2aOrMTwE8BWCW7/dfANQK91h8JPYBYInvOu0BsMr389slbH8ZgCMA9gJ4HcBo3zUWAB8E2WeM7/lcAOMA/AfATt+6W9x+DcrKA8BNvtd8K4B3ADwJYBKAP33rP4Tvxj2vt7cekVzkr30v9L+LrB/rW/+y238MH0GvXScAp0NzqaaXFIwBHAfgdwAHAZznt74ygPm+ffsX2SfNt34dgBp+6xv6/kEPAGjo9utQFh4AOgO4FEC5IuvrAtjsu069eb299wirmcIYcxqAbgByfJ+A/h4GsA/AAGPMMeEcjxJLRL4RkbXi+48JoQ+A2gDeE5GFfsc4AOAB369Di+xzk285SkT+8NsnB/p+qQTg2iiLTxEQkVkikiUiR4us3wbgZd+v6X5P8Xp7RLhtxp19y2kBLvIeAPMAVAXQzsGykTusa/1VgOfmAtgPIM0YUynMfb4ssg2557BvecRvHa+3R4QbjFN9yzVBnl/rWzaNrTjkAUGvtYgcAbARQAUApwGA79tQPQB7ReS3AMfje8MDjDEVAPzL96t/EOX19ohwg/HxvuVfQZ631lePqTTkBZFea743SoenAJwJYKqIfO23ntfbI5zqZ2xNssex1ckv2mvN94ZLjDHDAYyA9pAYEOnuviWvd5yFG4ytT7vjgzx/XJHtqPSK9FqH2j5UTYriyBhzM4DnAKwE0ElEdhXZhNfbI8INxqt9y2DtQKf7lsHalKn0CHqtfe2OjaA3gDYAgIjsA7AFwLHGmJMCHI/vDZcYY24D8CKAbGgg3hZgM15vjwg3GH/jW3YrOoLHGFMNQAcA+QAWOFg2cscs3/KiAM9dAO01M19EDoa5z8VFtqEEMMbcDR2MsQQaiH8Psimvt1eE2yEZHPSRFA+EN+hjBzgIoNQ+ADzoux4LAdQMsS2vt0ceYeczNsY09l2cEwF8Bh1W+zfo6K41ANJEZGdYB6OEMsb0BNDT92tdABdCv3Z+61uXJyJ3Ftn+Q+g/1XsAdgH4J7Qb1IcA+kqRN44x5lkAdwD41bdNCoB+AGpBP8BfdP4vo6KMMQMBZAAoAPACArfd5ohIht8+PcHr7b4IP3HrA3gDwG8ADgHYBL05UOKnLx/uPgA8Aq3JBHvkBNinA4CpAP6ANkEtB3A7gPIlnGcggJ+gIzL3AJgDoIfbf39ZeoRxrQXAbF5v7z040wcRkQcwnzERkQcwGBMReQCDMRGRBzAYExF5AIMxEZEHMBgTEXkAgzERkQcwGFPUjDGDfDNND3K7LJEwxtT0zYJcdAoxVxhjsowx640xKW6XhdzDYEwAAF9QjeQxyO0yx+AxAFUAPOF2QXwehGZHG+52Qcg9HIFHAABjzCMBVt8GzU/7HHSqd3+fQqfkOQnAbyJSKvLXGmMaAFgP4A0RudHt8liMMVMBtAdwimiaSipjGIwpKGNMDoBTATQSnfm31DPGjAJwH4AOIjLf7fJYjDH9oEl6bhCR19wuDyUemykoasHajI0xOb7HscaYccaYXGNMvjFmiS9DGIwxFYwx9xlj1hpjDvjaTG8p4VwXGmOmGmPyjDEHfduPNsZUj6C8BjqFfG6gQGyMyfD9PY2MMbcYY1b6ypbjK6vxbXeFMeZHY8w+Y8zvxpgXjTGVAxzvfF978K++Mm8zxiwwxjwcoHifQbOmDQ7376HkUsHtAlDSqghgOoCa0ECTAuBKAB8ZY7oBGAZNwfolNJfuFQBeMMbsEJFM/wMZYx4C8Cg0teMXAH4H0BLAnQC6G2Pai8juMMrUAtqs8l6I7cZA8z5nAZgGTSc5CkCKMWYXdHLPT6EpSLsCuBlAeQBD/cp8EYApAHYD+Bw6O0ZNAGf4/vZH/U8oIgeMMT8DaG+MOb60NPuQg9xOG8eHdx8AcqApFxsGeX6Q7/lBQfbLAlDJb/35vvW7oKkXq/s9dxo0LeviIsfq5Ntnvv/2Rc4/Lsy/5ybf9iOCPJ/hez4HQD2/9dUB5EFTRe4AcIbfc5Wg88sdBHCi3/qPfMc6O8B5Tghy/nG+fbq7fe35SPyDzRQUT7eJ33Q9IvIt9KZfDQB3i8iffs9tADAPwFnGmPJ+x7B6GNzgv71vnwzotEJXh1meBr7lbyG2e1xEtvid509o7bYqgJdEZJXfcwcBZEJr/mcEOFZ+0RUikhfkvNYcdQ2CPE9JjM0UFC9/isj6AOu3Qrtx/RzguS3Qr/t1fT8D2sPgMIArjDFXBNgnBUBtY0wtCT3TTC3f8o8Q2y0MUm4geLkB4BS/de8A6AXgB2NMJnQeyXki8msJ57Vmbj4hRPkoCTEYU7wEa/M8AgASuE30iG9Z0W9dLej7NNBNL3/HQudfK4lVSy12s62IksoWVrlF5GNjTA8AIwBcB2AIAPjahe8VkekBjlOlSDmpDGEzBXndXwD+EBET4rEpjGNZMyTXKnErh4jIFBHpDG2W6QJtE24B4AtjTPMAu1jlCjaTMyUxBmPyugUAahhjWjhwrGW+ZTMHjhU2EdknIrNE5A7oqL8U2FPa+7PKtSRRZSPvYDAmrxvnW75qjDm56JPGmGOMMe3CPNa30FmTw90+asaYLsaYKgGequNb7g/wXDtor43suBWMPIttxuRpIjLTGHMPgCcBrPUNG94IbSM+FUBHAN8BuCiMY/1ljJkJIN0YU0NEQt3Ii8WzABoaY2ZDu8odAtAaQGforOqF+jobY1KhvSgmigiHxZZBrBmT54nI0wAugA6i6ADNmXEFgHoAJgJ4IILDTYA2E/R3tpTFPAEd0NICwPXQPs51fOvbBPggGOhbvhTncpFHMTcFlSm+PszLoTXVc7xQCzXGVAKwAcAqEfmH2+Uhd7BmTGWKiBRAh1GfDe0H7AVDoX2rR7hdEHIPgzGVOSIyFcCtCN3fOFEOAhgsIkvdLgi5h80UREQewJoxEZEHMBgTEXkAgzERkQcwGBMReQCDMRGRBzAYExF5wP8DE0wHA62kYRIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 11\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 12\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 2 1 13\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 3 1 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 3 1 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 3 1 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 3 1 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 3 1 5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/23/2024 3 1 6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 2 1 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 2 1 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 2 1 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 2 1 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 2 1 5\n"
     ]
    },
    {
     "data": {
      "image/png": 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xSSvGvLzM+kgDl+yMyvwIg4eq+td/Ley7lQmDinEasg5TAMBf/RXQ2Un/S2f83e9S3PXf/i3/M7/6FdWGSINLjE89lcIYadcFRIcpgt+1eDFNk4rxwACtf948ep1UjAEKVaQVY/79fHzTMh4x5kL4MrSjTEpUjGM4+eSTcfLJJ9OLrMMUQaQzZsEPXqRbtwIf/CDwgQ/Er0863qBASoFLK8YjIxTHDQtT8HcdeSRN3/temrrEWL5mUeMY/b775m+rJCsxliOD7N2b7rOA3b5CxLyQ0IYyIdE84xi+9rWv2RdZhymCsBj39NgWehYmZts2mq5ZQ7UZpkTcT6UoBUe/kOtNK8bBnm+Av/GMxfjHP6bf8pd/Sa/b2/NHkJZitG0bxc/5N5ZDjHt77ZNKUnj7CnHG8mY0Omobc5VJx8R3xlu3Zpf/WYwwhaSujgSut5e2GwBee82/jPwtnHEQhhTgoDOWXZezEGMWxOFh+10tLeSK+cYSF6ZgUSyGGO/a5e98IpFinNapjozY8yKJGP/gB8D06TZDRO6PQsRcmTBMfGfMY8sVmE3woQ99CABw//33Z59n7IIFiwXyzTf970sx7umh4ZrCKKUYu5yxbOADgGnTolPbeDuKIcZHHkm5zK7zYDxiLPdxEjH97Gdp2teXf3MaHs7fZ8qkYeI743EyMDCAARaXYjtjwF6g/DgfFCIpxnHCkZUY33CDrbomPyuFI4kYz5xJ4REZl5VCyL+VxZgb8OIKEMWJsefZTiVZi7E8PkEx/tWvKIvEFUvm75TfpwWOJjUqxmkohRhzgXkOUwSFMuiMo5BCERRjeeHHifEVV1A9Yv79Uc5YhimCYjx7NomhzEN23RRYjGfPzt9WSVIxXr/e/u8aOVr+/rh9etll/phylBhfcAHwhz/4f2/wOzVMoeRQMU7D8DA1sEQ1mo2X9nZySyxI/f3+HmgyTlwqZ8ywW+d1uWLG0hnL9wErrjJDRA6bJMW4o8N2phivGMui9i6xTeOMb7qJjgF/R5QY8+/hJwHXE4GKsZJj8ohxFif6yEhxXTFAcdWeHr/oSlEtRpgiSf0HwIpoXMy4v5/eC5bSdInx0BA1aAF+MZ4+Pb5HnSu7xSXGsu5FmBhzSCRpmILddlTMmPcrL8NPO4A6YyWPySPGwRSxhJx++uk4/fTT6QWXhywm06bRRdvfD8ydS/OkWO7YYR+T4x6ps3DGslfaW2/5PxsVpnA1RIU5YxZjGTOePt2/ThdJnbFsBA0T4zlz6P+kYsyV2nibp04N307e93K72BnLm6vGjCc1KsYxXHHFFbjiiivoxfBwaZwxO6j582kajGlyLYukzrilJT9WmlSMZWpdlBgHwxQuMZ41i6af+5wVsaEhe3Ph7di+3S/G43XGcWI8MED7qK0teV2QoBh3dMSLsXyff6u8uaozntRMbDGWsdYCxdhHqcIUDD86S7Fk4XAV3QnCAtzVVbgzlo1fQTGWgjt1KoUlosS4rg54xzvo/6eesutqaSERLSRMUVPj7ygRJsZ83Fz7bHiYvsuVeicZG7Ohl02baJpGjGVWBTvj7dvtE4OKcXGp8Mp4E0eMH3ssX3DlRVmgGC9evBiLubZCKcIUXJ8CcIsx14Tghr4okohxXV28GNfXk2uMasAzhpaLClMAwN1305TDHzyqSUsLbYfnWTE2hrYvSoyDx6O+Pj8V7o03gMMPp//HI8Y7dtgLmr+D9/G0aX4xlRe+q3ZFXx+93r0b2Gef/PeVbFmzhhreizHQQkZMHDE+/nhg0SL/PClAWdTzLVWYgnGFKVjoOAUuiigxZoHr6ooX4333JSfO63OFKQDrSqPEeN996aJgMeabS0sLHaP+fn8cOap7c5gYB5fv7gYOO4z+d4kx32TjbnCyAY73QZgzlhkarjDF7t22kZbj1ZM5ZtzbC/z0p8VbP1fFe+KJ4n3HOJkYYsyPfy+95J8vHVLUMPJpvqfcYQoWLx4ANAoWivb2/Aud90dHR/S+WbeOBLSpKV6M2cVGiXFtLcW8pRhLZ8wpfVmJ8egoieiBB5LTdt3A+CbLmSxhSDHmfR8mxnIbwmLG/LSmYQpgyRIagGDDhuKsf+1amk6t3E7HE0OMXYn8gF+sshBj18WfNUlixo2NycS4v59EtL4+vxfY4CDFWltb89dz5ZXAz35GQvb888ARR9B6WHiinHFcmAIA9tvPxqKHhqwz3r07X4wLCVPI5bdsoVjvnDlAc7P7KSBpmCLMGdfU0LrlPpbC6gpT7N5txVjDFMCvf03TsPoh44VDbHH1XMrIxBDjMFGqRmcsY8auMEWcM96yBTjvPOCRR0gEmptJaIIXOjvS4HoeeQS47joaJHTdOlrH299O68kiTAGQi2TR4+3gsIvLGUeltoWJMcdsOY1un33CXTaHKZKK8YwZ/phxc3P+dsr/w8IU6owJ+bQSfLrNmgoeNLZyPXsagvm0wcExg/+n4JxzzrEvSiHG++1HjrilJb8zBGB/X1OTu5vtN75BY7nNmWOdcW2tW4xZ1KXjW7GCpp2ddlTnt789P0xRV5ffEzFJmAIgN86/iZ1xZyc9omYRpgCswHIGyOzZ4euSzrinJ7w0Ke+nefP8zri5OX8fR4mxMf76I5xPLrdt2zZKKzzmGPdvn0hwZgpQHDH2PBvDr2BnPDHEWDq7TZuAAw7In1+gGF9yySX2RSnCFK2twMaN1tnV1OQ746gwBTvB4WErxmHO2OWwOZbb3W3jbIcdRuthMRoYyHfFgN8Zc1dmFxwf3ruX/urrqSFx+3YrxlyNrlAxHhqi93h/sBi73CfHjNvbab/39dna0pKtW2mZtrZ8MQ7uY5cYcxhjxgwS43Xr6Hv32y//MzNn0rZUeDpWJshOQIUOfRXF0JDtil7BYjwxwhTSGYe54QLFuL+/H/28/lI4Y8YY+mPhAiiGOzwcHabgZXt7/WIcjBmzI21o8K+HOzOMjQH3308usKkpP0wRJsZJYsatreRUWGTZGe/cSW5xyhQbOx+PGAPWGc+alcwZA+Ghiq1bSUgbGvxi7LrhRcWMWYxfeQXYf3+7r/j911+3IjyZxHj27GwH42WkmVExzoj58+2oERIpJq5WbKBgMT7ttNNw2mmn0YtS5BkHkWLMvy3KGcsCNGmdseeRM3nPe+j1U08BBx1E/wfDFHHOOEqMW1psji1gxXhsjL6/s9N25AgK6IYNwLvfDdx6K80P3hyDYtzdTTHqhoZkMWMgnRjLuPzoqO1oFJVNIcX4wAPzO7fIWhpZtHVUOnzDPOSQ4oixTDNUMU7JE0+4U5DeeAP43e/y50tnLC+CrBvwSpFnHESKsexskUaMOZ4pXZZLjLdsoc/kCuoDILEA8rMpXGJcV0fvBUeOdv0mwDZg1dfbLsEvvWTjxfyePKbXXgv8/vfAF75A28PrkssDfjHmbAVXZsboKN0EamtJtOV2Bdm2ze2MWYwB96gfLjHetStfjPl9KRhZ5MdXOt3ddNzmz4/PnS8Evibq6iq6Aa/yxHhsDDj2WOC445J/RoqS6yKYMqV6simCSDGW3ZAbG0k4g4+xMkwhH6EBfwlHVzYFx+t4IFGA0tqA/DCFS2zr6+3FFBemAGx8uKHBxoiDYiwFdNMm4Ec/sr/lrbfsuuQ2AP4wBWcruJyxLDbEo8IEx+ljenrIPYeFKeT64sIUu3fTZ11iLJ35ZBDjt96iG6ZrWK4s4GtiwQJ1xqngk++FF/xCMzYW/pkwZ8z/t7dnJ8alDlPI3NigMwbyxSUsTAH448bSGXMqGIvx/vvb5c47j6ZNTSQWe/dGhylYSJI4YxZj6Yz7+vKdMYvUf/4n/X/VVfT6tdfyG9pczjhKjOWI31zIKEyM+/po26OcsUuMg/NmzLDvcWcUmY0x2cSYnzja2+lmnnWcnK+JBQto30ZpSRmpPDGW8R3ZGyfq8SXMGfOF1tpqL54NGwobUp3XXUnOGPD/dpnCw2LsEgpelxT1wUErxgsXAg8/DPzXf1m32NxM0/7+8GyKujrrPAp1xoD9TsAvoC+/TEIt2w2ixNjz/GGKKGdcW0vbMGWKO2UQoH0bFOPdu+n3hImx7HDD8+Tv48wf+QQw2cR4xw7a921tJJRhnbi6u/PHhEyCFOOxMb/GVBCVl9omd9SOHSQMgP/xwvP8hcvDnHFQjLdvp/V96Us0YkMCLrzwQv/6yiHGnOHgcsYDAzbWOTRkG5B6e2k5jhkD0WI8MEBiPGcOzQs2lHKqGteO4O8MLhM25FLwNwF+Z8zpXQDlNTNSQF97jZZjcQWixbinh7ZVOuNgQ6YMU0yZQg7NJcYjI7TOlhY691iMOXQRJsayZ57LGfOgq7KRdTKK8QEH2A5PPT325i/hGh5pnbMMUwDAu95F1QO5aFWFUHliLNNQ5EkZLMItnVlSZ8zOb9Wq6G148EG6MN/3Pr8YlyLPOEiYM2ZxlL+db2Rz5lB8dXjYHc8E7D6UYrx+vV8UJUExdjlj2ZiWxBlz3nJDg3+/vutd9n8pxuvW0XssrnJdcnmAPsMuijtVxIUpAApVuMIULIqtrXTD46yRoSESkTAx5swR/q6aGhuSqa21n5PbNtka8LimM99Ye3ut8GaBdMYANZy+8kp268+Iyg5TSDGWJ2gwZJHUGbMYy/oPLk45BTjpJADAtm3bsI0dXLkb8KTrdIUpeDkWHyA+ZsyiOjBAIiRdp4SdCldWc4mtdDNJnDE7UP7cBz9IU5czHh2l/Nv99vPHlKOccVCMXdkUwQL1s2a5nTGflxymkNufxhnX1lJq3uWX2yce/n5eTp73YY/sE4WxMbq2pRhn3YgXFOMKpXLEeNcu2/tJzmOiRkUOc8acPdDSQuLDJ7+rd1UIZ599Ns4++2x6UU4x9jx/TQiXGPNJx4++QLgzltkUvJ6tW/1CF9wO/o6+vnxHKpcBChPjn/yEGm7lZxsbaVu3bKH9v2CBv6tyGjGOy6YAKIQgu4czfF6GiXEwFBQmxnV1tI7rr7e1R4B8MWb3P9GdcU8PndudnTZMMd70tmee8Tvf3bupWluY0agQKkOMN2+mGOR116VzxrfcQmkxUc7YGLogBgftAYqrdhZGucIU/FjMF2ZzczoxThIz3rPHDnfkgsV3927baOXaViZJmILFjEMgLS3AoYf6l21qsmIM2O3jdQS3Q4ZTWIz5kTdJmKKjw53+xGLc2mrFmDsryDBFMD7sEmMXspfkrl3u8Q8nImyygmGKIGkyII46ynZWAqx5CLZzVFhWRenFeOtWqr0g4ZP6P/8zXIzl/N5ealm95BJ6tB0YsHfVoBjX1touv/w9UaN+yFxciefRe6V2xiw2PT1WEMLEmN/nRk8g2hlLMe7uppNTNi6FbYerswWQXIybmugmGXTGYcsCtlcaZ12wKAedsexF9+abtDyLZxJnzBXlgheqK0zB3XjThCnCxFimtvX2Th5nzGLc1eUPhQWR13+UiLquXzYPQTGusKyK0ovx7Nn5sRs+WUdGrKBMmRIeO2NBAOiRpL/fXoTBBjwW48FB63iixDgsKZwPcqmdMdc03rjR/uaWlmhnLMVYjiXH+3lsjP5vaLAXANcXjnPGfENzOeOkMWOuucHHIaqoEL/HN3AWY54Gb45SjNev959rcaltAF2wnpfvzmSYgn8b74usxJiX273b5jxPdDHmc6Cz0x5r128O04Lt2+lcfPhheu0qTs8piU1NwEc+YnuYVlgHkNKLsRwklOETX9YrmDs3PMVHPrIDdHCSOGMpxmHpMWFCHbxoSwUL6/r1bmfc30/bNjjoDlPsu2++UMgCPSyqPAp0nDNmNzieMEVw2ULE+JOfpKnMrADo+DQ307F+5hl/b8L6en/9CMDtjIH8C1WKMW8Tl34My6YwhvaDnJdUjNva/F3QK4GRETuQbFbIMEWUM5bHQ7YrPf00vf7GN+i1K0uCwxTG0NBOF12Uv84KoLRiLEvlyccJFhF2xk1NdNFFibE8IFu3uuv27t1LgXsuecgNM0ND4a3UUoxHRnDxxRfj4osvthdKqcWYU81ee41+c10dbYN0xocdRo0TvE+kQC1YkB8zlg2B/JjPmSZxzpjjsHFiLDs2uOBlGxvdtYOZMDH+whfoeMregkxHB3Wr7u62o1ED7nCNK2YM5F+ofI62tlrRYDEOc8Z1df5YcJKY8dgYnev8PZWUTbFsGaUWcs3rLHCJses3Sy2Q1z4Po8TXrcxQYYJtHGHHuMyUVoz/+Ef7P6eLAdYZj4zYR4quLn+rthTj4WH/AenutsMLuZwxu+YdO6z4hA3CKcW4vx9Lly7F0qVL8x1UqWhvp5Pntdf8sdpgZ42eHr9gMC0t+ULBYlxfb5dlMQ5zxiwsLEBxMWNXHrKEvzfKFcv3X3/dn9JnTPiNo6MDeOgh+j+YJgf4z5HgE09Y5bYwZ8xDLrmePvjGKcNwYTdzNhKyobC5ubKcMW/L9ddnt04W444O2pf19fFhCnnt8jnP65HFp+QyKsYB5A6VifVSjLmv/9y5/q6PwbiwPCCbN9NFGiwVGRRjwLashzkOmUK3Zw82btyIjRs3ls8ZA1Ra8KGHaD+x4Lk6fWzcSE4heMMIxoylMw6KseyWHKStzYpxXMw4Dv4dcZ+Rzjhq2yTTptnzQzrjKDFOGqZobvY74/Z2ujG4nHF9vV+Mk4Qp+FqoxDAFh3cefRR4/PFs1skGiR1u2G+WjW3y2uf9xSLMaa9DQ7ahjw0ew4aswhrwStsDLyigjBRjrqcwfz6d7KOjdMfcs4ceZXbtyhdjHlkizhkD1CD2pz+Fi7Fc7549+MRnPwsAWL1sGc0rhxh/6UtUsGfDBtsgJWPGzFNP2djY5z5n3WmYM25osM6Oq49FOdXW1uQx4zjSOuONG4HDD0+2bhbU2bP9Tl+K8dq1dD6lCVM0NdH+4m3avNmGScLCFGnFOBgOqSQxltty3HEkgNybMC3/+q8kxNu3+2+yYb9ZXtcuMWZTIvsgcLgnmBfvuilXAKUVY7mTXc64v5+WaWwk0RwdpRN+zhyazxdKUIwB+kyw9gDHjGWPO87fDBNjuY3B0AhQ+jAFAJx6qt0eFryaGrqAZRz+6aet8//+9+38qJgxQCfqnj3hIQqmtdU29MWFKeJI64xHRtI5Y8DvigH/RfjOd9L///7vNJXZFIDbGbu2mb8rqRiHhW84Zhwnxq++Su0DaZ5CsiK4Lb/9LXDmmYWt60tfsv8ffbT9PyxOLq9rlxgD5ISlGHN4Ihim4POgwgr3lzZMESbGfAKOjlIsuanJpnRxfmlQjIMnBufTxjnjuGT6MDEuZ5iio8OeTMGMhddft69HR92ONcoZA/axLSwGy8h1RznjT30qej1y2aTOOMn2Bfnwh/2vXRchny+8j1wpg4BfjOU28bkVJ8aeN35nvHMnldz8/OfDf3MxCV4zHJd30ddHI4zffLP7fb6+Ab+7DnPGQTHm8QGlGA8M5Ivx8DD9yfOVz/sKc8alF2Ou3eoKUwD5Ysxi099PomFMtDNOEqbg9YVto+t/Xq9sGCgVxth0tWAubzCvMkqM+YYiU9vkZ+Kcsexg4fqeqVPp+N12W/R65OeTOmMguTP+6leBH/wA+Ou/9s/n3ysv2OC+mDqV/oKuScYd5TbFOWNZ2D9Jp48oMeYsht//3r2OYrNnD4UPV66k6yis1ChAaYXLl+cfA0bWSZFiHBYzDg5jdcYZdJykduzZky/GsuGVqdAwRenFuLmZ0p5cYQqAMigaG6nRqqmJKqjJz3IjXVCMXWO9sRjLMMVRR9E0rRgnKQ1ZTDjfOMoZB99norIpgOTOmNPsOjvdYgyQYE5NEP0KZoWEIcU6qRgffDDw6U/7y6zK75JjzLlusrJeMSPjjrKRlM8tV20KdsYAnYtpG/CCj+x8LZSrxgJfgx/6EB2LqLQ7GeZx9ZiToikLWyVxxgMDwC9+QesNinFvrz1Pdu/2Z2swNTX0N+nDFM3N+ZWxpLDy6BSNjfSY+d//TY8jUow5z1henC5nLPOMGe7ZFDyRnn+eLt4nn/Rt7+WXX47LL7+8/GLMRchltkdjo913nNcb5YyHhqhAu6yLDFjBixPjt72NppxBMB6OOYaO17HHRi9XiDMOg3+v7I7P50ESMXZ1VOGnriRiHJXaliRm/MILNC2kwHoW8DUI+AeodRFVk5k7KTHve5/9P0nMWH42+D09PVbcd++2vSSDN7CGhknujPv63M44GJ/jE/3440m0d+7MHxK9r89/t4uKGUunJgvJSH74Q5o+9ZSvN98ZZ5yBM844o/xizA0eLIjBbTnkEJq6xJiXe/xxco1f/zq95n3BOd+LFkVvg/zu8fKRj9BF9eUvRy8nxWu8Yuxyxixs0rFKMb7/frrxPP20+1GXnTG7rfE6Y5cYX3cd8P73A889Z7c/66GJklCoGAe7lgerLvJo5EB0NkVDA3UQknohnwxZjLnTk6xHExTjsJHCy0jpsylaWkiMn3/ezh8YsK2egBUJTuNav94/hBCLcTB+2tjo7ygyMmKXufJKEpswMZaf6+iggzo0hBdffBEAcAgvXy4x3m8/ujHJ+Ddvi+zBdswx+Z+traU/ziXmi5pjxDfeSKleS5ZEbwOL8aWXpt36wpEOvBjOeONGujDl90gx5myLvXv9NzrOuZUhsGBvO1kxL4kYc8y4psbWDRkaonOXOfxwunaiKuwVC5lx09QUPdJyUIxlKILF+HvfAxYv9j+5hsWMOW97yhT/tbt+vRVwHoSXhXdgwD45upxxhYUpSi/GMkzBwycNDtKJxWLMIsNinBNEnxjzCMU1NXRhcI6sPFDysfCaa+w8IF+MpVPv7KSDPDSEz33ucwCA1TziR7nEGMjvYsw3lmnT7IXx/ve7P9vc7HeEU6ZYITnuuGSjcXd0kDiUOqPk0EMpN9w11FMaWIzlfnjjjfxGWXmhyjoW0hnz04S8yGWbxfCwv85xGmfMueKuTJOPfYzEePPm8ogxt13w6ORhRDljfj1vnh19nJGmTML7bupUf5imp4cyTF55xXZI4mMyOEj7qaYm/0ZeDGc8NhbdtT+G8sSM58yhHbF6Nc0fGPCfWEFn/MwzNO3osLnEQ0P0P3cEqKvzj8EGuEtesksMnkjycYdbd4MtuEB5xTgIb8u0acDtt9OoyRyuCNLcnN/6XciJU1c3/nhxWh56iEIrcjimQuD9xRctQKIaJcayhoqrcVTe/IJinCZMwa66t9c6RfnkN3cucOGFwAkn0Oty9B7jp1MgmzCFfMpjOjpo3wdDl9y9vKHBVhhkOCzB1zBnTHGYYuZMEmRJfX22zvgTn4gfQSiG8ojxBRfQHfaf/onmDwz471wsxjNn0k77wx/odWenPeE5hnT++fTe8HD+3XpkxN2y7zqR5Akj85mZShbjjg7qxHD11eFCGXRZFVZYO5KZM+lcGa8jZ2csQ1I7duR3xJBiLJeVYnz++TR8kkzLCopxfb0/kyXOGXOnBVfa37PPAj/6kb8A+xFHAFdcEf+7syLrmLFLjHl/Bjvd8P50ZRDFiTE32kuybsC74w66Qf6//1fwKsojxh0d1IDzxBPkPILOWBaDmTfPFhiSYszDBl1+ORWlP++8fGcc1nrtaiSQn+O+8i5nHNdJoZRIZxxHOXpsVRq8v1zDT0mkGMsLX4ZJbr8deOwx/+ekGMtCQUCyMAVANwcWY3lc+bulGD//PHDDDe71FYO0Ysy9QYMuvlAxrqujYxgcMJbFmNsCZs8m7RgYoCcfVzgn6zDFwQfT9IEHCl5FebIpAGpM6++nO36YMwYo/sNdfl3OuKaGhLi2NjpmLHGdSFKMm5vzD9bAAD3Wl6MHXhh8x4+rkAbY/V5J219qpOhKYY0SY9lIFdfAGRWm4PMrqmobfx+L8Smn2Pf5iYffcxVRLyY8BiOfa2x8wrI6du60YcYwZ+wai5LFuLs7v6ckhymCNdGDzriri0R7YCC/9gWTdZiCj0tYNcgElN4Z86MeB+5ffJFEM5imxsjavCzGQ0NuR9PYSE47rmRhc7N/p3levhjnvueqq67CVVddRe83NpY+XhoFN7olGXac9ynfwV1ZFxOdKVOsM5UNb2FizOfFuedStklcD8UoMeYnsaiYMUDiwSLV2EjtKr/4hV2O35PZSKVg717aH7yv+HwKE7QtW2xufNqYMUCxeDlKiwxTBJkxg45tGjHOOkzBbQuFjq+JUmZTyI4bgP8OCPh3cpgYd3TQSbtnj3XGEllWsrbWdvoIEhx0kg/KkiW0fWedRfG5oSGcwu5kxYrKihcDNi/YNXpKEN7vXV0U9pG1ASYTPPJGZ6fNxAmLGXOx97e9Lb/okIvxiLHLGQPAe9/rX47f4w4gWTI8TOeGLNwj3wPs9ssU0eB14XnUWDxvHu1LVzZFY6PbKMkYvIzXS2ccpL2dtqevj0S5vZ2W6++n6zzMGWcpxizC4xDj0jljdhosCnwH5JZteUBlTqIUYy6ULmPGkmAOcZgz7uz0F5HnHbhoEYnw0Uf/OWtj7dq1WLt2rXXGlcTMmVSI5ac/jV+W901nJ4nLOFt+qxZZj4PPxTBnnLbRVnY6KlSMh4bCu5rzco2NxRHjSy6hjBWZ+scEu42H5esDJIAjI7a6XHCZnh63KwbyS3IGb27yWPB+amuzetLZSYLc2EiNd55XmjBFBmJcOmcsh5kHaGc1NLjFmOtHAP7HSWP8qW3Bu2Swxm+YGHd1+WOBrosud+e8NNfBYfU++1SeGAPAxRcnW473uxwfbzISFOPe3nAx5os16XHnR2MgX4w5LBYnxrxtUbS1+dMUx5nf+mfuuIOmTz+d/+QUVt3OJcay15urfSZKjINx5E2bKPNqeNg/MndTEy3L4wXOmUMNeCzmjY35I4pLsg5TVJUzDooxQHczTuDmuz0fSOagg2jKsc4kzph3SJQYy0FJXWLMLmdsjOJzDzxQmWKcFP6NcuToyQgfw5YW234R54yTNJACVnh40FNZtS1pzBhIJsaSYBigENjgADaVNPg+kMwZSzGWNygmSoyNodAM55SzPnCYQh4/mdnBT9NsNuLEuAKdcenEWA5bw3R0+J3xoYfm5wSecAKJIQ/zUldHJ8DYWHyYIixmzCM88DZFOGNs2kSxqx07qluMOR1osouxK0wRFjNOG6bgDAM5egiLbBpn7MoykATFOjheXyHIMSmffTb//bAwhasI0Mkn0/+zZvmd8eOP00CxPT3Rv3H1ahr8FLCCyk8a8vh99KP0/7RpNo3uwANp2tho94trNJIsY8YyAaAqxJgPmkycD4qxC2No9GNZN5bzFsPCFJxyE+WMAeDss6k2bJQYy6Im1SzG3Bgi4/GTkaQxY1m4PE2Yor/f39jF6+ZzNi61jbctiqCrzGJgTRm240Z1OYp6sAGP90nQXcqUu7lz/WL8nvdQD9G1a8OdMcPhSXbZwWyKlhbg2mupCuH8+fa48vktj1mxwxTc0AtUmRhLZ9zZaQ9U0kfBujp7kUQ5Y84wiBLjX/+akvejxDiuO2y1wC6C040mO/Ix1yXGgHVWacMU8pGe151lzHj+fJqyoAWroBUCN2jPmmVv3EcdZRvGgs44OFpGdzfdwLjjxQ9+QO5X9oqV9bTjxFh2buHvCYYpamqsE+bvYA2IE+MswxRSgKtWjGVucZoWa74LhaW2/fu/U2EZ1zLB79q5M1yMh4dxzcyZuIbnvfvdybaxEvna1+i3FjqA5ESB2x6amuLFmB1n2jCFdJFJwxTyRh8nxjwIKof0xiEAf4bF+JBDrBj/6U/+HoWA3X7eR4OD1JN2zhwyNizGXBYzrHNInBjX1tJ38BMFhyk4HCHT3gDg7/6OQppcHkFWNHR9V0MDGa0kaaFxZCTGhWdTDA7SDgsW4AjDJcbB4vBJCAqm670777Qnv0uMFy2iXnurVoWLca4Bb5E8WCeemGwbKxFZpW0yc9ttlLq4dCmJCJAvkOMR4/5+v3AFwxRhYiyvhTgx5hFXMng0/jNSjH/7W3/D3I4d+Q14cjzBn/2M/n/+eXtT4WwM3ifB2LKrXkQQWcGNwxSc9//SS/5lFy4EHnnEvuZjyKluQeTQS+MtcVB2Z9zYCJxzTvLlXWIsS0ImFQr5+aDQzpljk/M58O+6kFpaqJ7FO94R7YyHhrBm2zasOfZYqojGFbOU6qW+HvjiF0kMTjqJ5gULzwTDFGmMguf5hTepGMsnlrgGPK61EFYONozR0fDGPo4ZH3ooTeWIN6++Gu2Muaoip5dNn273GYcpgqEU2dU7DCnGHKbgJ5uzzor/LBBeAzvNOHif/CRw773h77N+1NWVMUyxYkXy6l+ubAp5d5SdO6KQd7GgM25upsaBE0+02QNRFxL3xIsQ46/09uIr3d1UES3pU4BSHVxwAfD3f58/2kjQGaeJGQNW8AoV4zhnzF3Z/+7vaJpUAC67zNakDrJ9O/1O7oK8Zo1979VX852xjBlzScv+fsp/ltcyO+OgGL/znfHb29pqY8bsjI2h9S1fHv1ZbhuRbT6SpCNEj4xQ+OVjHwtfhvd/Z2eZY8ZJewK5simkGIedpEGkGIddJO3tNik+6kKKE+OeHnI6SQbYVKqPKVOAb387v/vveMIUgF+M+dxhMxKWTSGNRZwYz5hB5+V559HrpALAo3bLNDZm+3YSE66/wZUSAcp4CmvAGxy0hqy/31/zGLAxYxbjFSvo+5N0UuFOHTJvG7CDSkTBDtr1W+XviGvES5LDXTFiHDX0imTPHjoA8qRLEjcKEuWMmbY2G5hP44zluuvq7G9TMZ5cZCnG3Gs0zhlLkmbtRPWCc8GNaMHGL4DEcto0K8bSZO3eHR2m4Otnzx47oDDDzpj3yT77JB8+i8MUwbS6JPAgC2GZJknDFDKsE+ayK0aMk444wEWCZNWz8YpxmOuVMbc4Zzw8bBsvwhoHNTwxuSg0tY3PHynGgH3KkstEkbRrM29XUgFgB+sSYx7uSYoxjyspBZGvi9paO2Qa3wxczph/Lz+pxmVRSIJiHGa+XHC4hTugBEkappBiHla2lN11RweFNQrM0Bi/5UvaFVNWbGPiShK6SOKMXYN2uuDUOh4HTYquXLc648nFeGPGfAFLMWYBzLLjkDHu7sZhRDnjvj4Sv85OK7ILFtDU5YzZ8UsxDnPGgO28kVaMe3sLc8ZTplBp2TDDlzRMIcV4xw53nj7vG9aTgYGC+iSUToyDozkDtEMWL6bWyqTIA52k2EgSMX7zzfxty8XtbgKo4UOZPEgx5hGJk8DnJou4FGMm6nxsaUlfnDxuYFBJlDPu67NjxXFVwxkzSIzC3Cn3YksixtyrL40Yc8w4eCNISlQHp0LCFGEhDxZ0zggruRjzieMKU6xbRwU7pNN0OWMA+J//Sfe98kCHdWCQBzzK1XBDSXd3fq5hbt1HAclGTlYmDlKM0zhZPodY7Pj8kiISldO6fn1yYWWSOmMuDi+3T9LXZwVkxgwS4+nTScB7e92CyJ0yOJbKYQr5G3n/vfUWuek0w3+1tpJu8O9LE6aIQ8a8o5ACHJYW6HLGBVB4zDhsSJVXX6U70je/6Z8vR/kYD1k6Y17urbfyT5Lcjl0FYNU4BhlUqhAZM04jHsFHchZjFpGamuhhr7q6bFfnpCQVY1m/O4kY85TjtsFsCoD2k2zAdzljXufmzfR/mpFyeP/xd6R1xlFk6Yx5HeyMC+xmXbgYT59OO3f3bgr2G0MulxPoV63yLx/mjNMiD3TY42NaZ+y66HLO+JsAvvm976XeTKWKkedMmnOWL0bOu+WbPV/4xSg0FRyE18WXvwz813/Z1y6HJ8WYn2jnzfM3ohnjbz8JinFfH22LS4zfeiu9GePrk28k5RDjJM7YFaYogMLFuKODTrbeXuDRR2nerbdapxzMQCiGGIche/MlccZAqBgDqKxx75TiI8U4TVdZ7hm3bp3/kbyYYhwXMx4aolzqq6+284JiMTpK62Cx5KyBc8/1O2NO1WOCYsyi6RLj7u70YszXJ+cKlytM0dREvzupMy5QjAuPGXd22gPF3TI3b7aPaMUS4yTr4GIiQPQFIJPrQ2LGyiREXvRpztm6Onoq6+mhc4uf3IJlJ7MkLkzBZQFYNGWlRIY7ZPH18OMfAw8+SOUCuBGNe8BJ6uttT9fmZhv+kNcSr7O3N33FwEpwxjySSG1tvBjzE3lwtJeEFO6MOzutM+aW0u5um08YdJOubIpCSHJCy5q9UWlpUoxDYsbKJGTqVHvepD1nOd4qn7qK7YyjxDiYG7vffvlizBkc7Fz/8i+Bb3yD/uf0MnbGEumMZ8xwd56SbrjQMAU74yzFOGme8eAgLdveHh2mqKvzjzR0zz103IMFjSIYnxjzgeIC8W+8YZ0x30Vef52GGs/KGSfJ+ZUnfVSIgcv0AfnbliYFR5l4hJ0XcUSJ8Xirg7lwjTEnkUWQamupbkRQvINiLGltpeX7+vJvJjwiCuDvM1AsMc4yTJE0z5jH2pw2LdoZy8L3AwPAf/wH/f/YY4k3aXxhirY2ejRhZ7xnD2VTADR/dNQ/AGaWxdlPOy2b9bS20gEJXnS5R8xbAYqFK5OLhobCnuZYlORTVzmdMYtxXR1tm2u05jgxBuiJN3gzkbF12bkiKzHmG1o5wxQstG1t0altDQ1+MeYQFTfmJmD8MWMZpgDs+Flbt+bXMM3CGQN0h8rqxOYbimvb7rgDhxxyiO3nrkwe5CjEaaikMMWjjwI//Sm1oSxcSPnArga/JGLsSv+UYixHcQ/WeOFBhOMKIIV9dzHCFGmccX09OWMunB+EB0eWYsw3QVlwKYbCwxR/8Rc2uL9tm21J5jCFq2xeVmLMAfUo/uEfwvulS/gEdF10H/847uvuxn333Zd+G5XqptAwBecJc6M2UNwGvLAwhefRIApPPw28/e3AD39IQyG5UuE4A8olljIXP3iNyNdhzliut5LCFFOmkIZkETN2hSk4VsyRgiSblHjJIAceaBvwdu50u8dgRbesxDgJ112Xn+vsgkU9ZNtuuOEG3HDDDRlumFIV8IWf9pz98Idp+tBD+esqpTPmYccAymI49FDgyCPd4s0i4xrggQVxy5boRm6ZwRQUdf5cWjFuaKCsrGKEKYBkI0RLZxwVM5Zhip077bIpRu4eX9W21lZ69Ont9Ysxx4llrx8geem8UnLEETRNWn9AmRzwhZ9WjI8+mkRH5vXyU2MxaGx0Vwp7+GH7v0wpY/GWY9KxcESJMZDveKUYL1xo/w8WAON9mVaMjSHDVwxnDPgbIMNgMeaUxeBYfoANU/DTFIczGhpsnZK776bRgiIYX6EgGRfjYs4Apc9s2JAvxkmq+5ea73+ftvfcc8u9JUolse++wB/+kF6Mjcmv17JoEU2fey6bbZPIR2MpdpxiumIFcMYZdj4L6uBgfslPVwZRUjGWefnBHH127oU04Le25hdeyookXcllmGJszFa3k7Bgc712jhcfdBAd8717gSVLaF6wTIRg/M6YkePZ8V0yKMY8SGEl0dBAOZVpawIoExse9DNtFTUXLMZc+SxLWCCDoQfuOfaxj/nTQV3L79pFwuQSu6heqlKMpRYE18OvecToNEStd7zIMfbCkGEKwB2q4GUA2o9SjD0P+M1vEm3O+MRYHqhp0yhZHLCdLqQYH3qoditWqgcemDNFzC+Ujg5g2TKgGA3B0hlLenrcTte1/K5d4QMCJ3XGUYOorlhBIzfzYMFpcKUIZkUaMeZ96Tof2D0DfjHmaAE/Ef3N30R+1fjCFHJHTZtGcZHvf98OmMhi/MwzwOGHj+urysXtt99e7k1QysGFF1Ko7fLLs1nfBRdks54gacU4zBmHdXLKQoyPOir8vTjkerMe5EEOeMp0dACf+hTwne/Q60KcMaf6HnQQTV9+maZ///eRm5OtM541ix75+XGGxbi1tWpHy5g/fz7mawhj8lFXB3zrW5VfoyRsHLyeHrdAyi67TJQzjqrTwWI8ZUq2HboksiZ01k/WQWc8Nkb74sYb7TwZMwbczliKMe/fmhobrmUxjhnZKLuYsTyYbNlZjEuZ0pYxy5cvx/K4YcEVpVy4xBWID1P095MQnXoqZV6EibEUwLBiWlOmFG+cyGBN6KzXLcXYFbJI4ow5mwKwbWezZtn989JL9F0xvyG7bApX2UpXSb0q45ZbbgEALF26tMxboigOosIUric6GaZYtQp44AF6HSbGAAnt6Gi+qeLPnH8+TZcsAT7wgTRbHw9rTNaNd7xuKcCctQFQNsqMGZQ2GBcz5jxjwA66sXCh3T8bNwL77x+7OeMT49mzgb/9W/pRMn4UFONiJLsrihIdpoiKGQ8M+Lvqsoi46OqiTh9BU1VbSz3z2AHedVe6bU8CO+NiGDp2xp5HTwCyk9rrr9sbgQxTSGe8aRPdqGQNE96P8+b5wxIJBl8enxgbA7h6p0kxDo66rChKdhSaTdHfDzz5pJ3/mc+Ef8fixSS0LlcYNvpyVrAYRzn38ax7717rbKUzDg411dBA7lyKsSzVyzek2bNpWldHAs2dRRKIcXG6nbFl37GjquPFilLxuGLGe/eS2MZlU7z5JtWY+dWvbMu/i69/nUQ8Sa2XrGExjsrWGO+6OVQRJcbGRNenkI2ZgDWgLM5SuEMojhjLsEQVx4sVpeKRTverX6U0Mk7XigtT9PRQGYNTT43+jiOOoPVz7nUpYRFOW/EtCXIUEsAvxr29tqs0m8uo+hTsjJcsoZsWF+fn2jcJ9l1x8s0KHdCxArn77rvLvQmKEg6LcXc3cM019D8P9hAXpggLZVQS7DSLIcYs9EmcMZDMGXd0+AuUsXiXTYx5SPKRkeLsxBIyvZhFXhRlvLDTfeopO+/FF2k6EcSYhbIYYQqOQ7MIx4lx0BlPnUohISA8H50bVhOIcfFKlfFBr3IxXrZsGZYtW1buzVAUN7W1JFSyCFGUGNfWkohs305mqdLFmFPlLrkk+3VzQXyuwd7XR852yhS/GPOTvnTGY2NWiIFwMV6xAvj4x6OzVXIUr1tcYyPFXYpxRyshLMQXXnhhWbdDUUKZMcNfxJxrGYcJbVOTFaBiZClkycKF7rKVWRAU44EB0q2xMX/MWIYp2BkHs1fCBjA+8UT6S0DxnDHHiqvcGStKxSMrJgLJxJjrJ1S6My4m06aR0LIYc9dnzj+OClMEh5TL4KZWPGfc1QWsW6dirCjFhnNYp0+nx+g4MZbFbCazGBtD7pj3BTvj+nq3GLe1kQiPjlox/uhHM6u9Uzwxdo2SqyhK9vC1NmcOObs33qDXUc54w4boZSYL++yT74ynTiUxDqa2sSgPD1sx/vjHbeH4cVK8MAUfZBVjRSkunPGzYIHtZMA9xlw0Ndmi+SrG1hnz6CdcWjPojOWI0rz/MkzdLZ4z5g2vcjFeuXJluTdBUaLhmgof+IAt/BMlsrJTVqU34BWbri7giSfo/4EBEteWFnLLYWI8NGSdcVWJcZXWMWaatAehUulceim5tU9/2hb/icpikud0gpoJE5qODptfPDhI4tzURMIcTG3jqRTjDOs4F1+M44bCrnBuvvlmAMAlxchzVJQsOPxw4Mc/pv85TMFj+LlgMW5p8feWnYx0dFjh5Qa8pibqrBFMbSuyMy5ezFgGu6uYu+66C3cVozSgohQDroUgR2sPwmEK7V1qwzS7dtkGPBbjJGGKDJ+ciyfGn/kMxYvPOadoX6EoSoADDqDphz8cvgyLsIqx7ayxc6dtwEsixsEQRgYUL0xx8MH5g/0pilJcli6lym1RtRD4PX4Mn8ywGO/aRWEKdsYjI5QxUVNj272kGPMTf4YjkBTPGSuKUnqMiS9Kc9hhNN22rfjbU+nIYkHSGfM8OW6dirGiKJmiztjCznjHDjviR5gYy2yKIoix8QoswmGMucjzvNsy2xKlotHjPbnQ4116xuOML8psK5RqQI/35EKPd4nRMIWiKEoFoGKsKIpSAYxHjDWeNLnQ4z250ONdYgpuwFMURVGyQ8MUiqIoFYCKsaIoSgWgYqwoilIBpBJjY8w8Y8z/NcZsMsYMGWPWG2NuMsaEDI2qVALGmLONMd81xjxsjOk1xnjGmDtiPrPIGLPSGLPDGNNvjHnWGHOpMaYm4jMXGGN+b4zpM8b0GGNWG2NOz/4XKWEYY7qMMZ8xxvy3MeYVY8xA7lg8Yoz5tDHGec3r8a4APM9L9AfgAACbAXgA7gVwHYDf5F7/CUBX0nXpX2n/AKzNHafdAF7I/X9HxPIfBbAXQB+AHwL459wx9gD8JOQz1+fe3wjgRgD/BmB7bt4Xyr0PJssfgM/n9vkmAP8B4FoA/xfArtz8u5FruNfjXVl/aQ7yr3I7+m8C87+Tm//9cv8Y/Qs9du8DcBAAA2BxlBgDaAOwBcAQgHeJ+Q0A1uQ+e27gM4ty818B0CHmL8xdoIMAFpZ7P0yGPwAnATgDwJTA/H0AvJ47Tmfp8a68v0RhCmPM/gBOBbA+dweUfAPAHgCfMMZkV/ZeyQzP8/7H87yXvdwVE8PZAGYAuNPzvCfFOgYBXJV7eXHgM5/PTb/led5O8Zn1oPOlHsCnCtx8JQWe5/3G87z7PM8bC8x/C8D3cy8Xi7f0eFcISWPGJ+Wmv3Yc5N0AfgegCcBxGW6bUh74WP/S8d5vAfQDWGSMEeWsIj9zf2AZpXyM5KZ7xTw93hVCUjE+JDd9KeT9l3PTiLFelCoh9Fh7nrcXwGugQQn2B4Dc09BcAH2e53U71qfnRgVgjJkK4JO5l1JE9XhXCEnFmMf97gl5n+dPG9fWKJVA2mOt50Z1cB2AtwFY6Xner8R8Pd4VQlZ5xiY31b7VE59Cj7WeG2XCGPNFAJeDMiQ+kfbjuake7yKTVIz5btce8n5bYDmlekl7rOOWj3NSShExxvw1gH8B8DyA93metyOwiB7vCiGpGL+Ym4bFgQ7KTcNiykr1EHqsc3HH/UANQOsAwPO8PQDeBNBijJntWJ+eG2XCGHMpgO8BeA4kxG85FtPjXSEkFeP/yU1PDfbgMca0AjgBwACAxzLcNqU8/CY3/aDjvfeAsmbWeJ43lPAzHwoso5QAY8w/gDpjrAUJ8ZaQRfV4VwpJE5KhnT4mxB+SdfrYCu0EULV/AL6WOx5PAuiMWVaPd4X8Ja5nbIw5IHdwZgL4Kahb7btBvbteArDI87ztiVamlBRjzJkAzsy93AfAB0CPnQ/n5m3zPO+KwPJ3gy6qOwHsAPARUBrU3QDO8QInjjHmBgB/C+CN3DJ1AJYC6ALdwL+X/S9TghhjLgCwDMAogO/CHbtd73neMvGZM6HHu/ykvOPOB/AjAN0AhgFsADUORN599a+8fwD+EeRkwv7WOz5zAoCVAHaCQlB/BHAZgJqI77kAwBOgHpm7ATwE4PRy//7J9JfgWHsAVuvxrrw/HelDURSlAtB6xoqiKBWAirGiKEoFoGKsKIpSAagYK4qiVAAqxoqiKBWAirGiKEoFoGKsKIpSAagYKwVjjLkwN9L0heXeljQYYzpzoyAHhxArC8aY+4wxrxpj6sq9LUr5UDFWAAA5UU3zd2G5t3kc/G8AjQCuKfeG5PgaqDraF8u9IUr50B54CgDAGPOPjtmXgurT/gtoqHfJvaAheWYD6PY8ryrq1xpjFgB4FcCPPM+7qNzbwxhjVgI4HsA8j8pUKpMMFWMlFGPMegD7AtjPo5F/qx5jzLcAfAXACZ7nrSn39jDGmKWgIj2f9TzvB+XeHqX0aJhCKZiwmLExZn3ur8UYc6MxZqMxZsAYszZXIQzGmKnGmK8YY142xgzmYqZfiPiuDxhjVhpjthljhnLL/7MxZlqK7TWgIeQ3uoTYGLMs93v2M8Z8wRjzfG7b1ue21eSWW2KM+b0xZo8xZosx5nvGmAbH+k7MxYPfyG3zW8aYx4wx33Bs3k9BVdM+nfT3KBOLqeXeAGXCUgvgAQCdIKGpA3AegHuMMacCuARUgvV+UC3dJQC+a4zZ6nnecrkiY8zXAfwTqLTjzwFsAfB2AFcAOM0Yc7zneb0JtukIUFjlzpjlrgfVfb4PwK9B5SS/BaDOGLMDNLjnvaASpO8H8NcAagBcLLb5gwB+AaAXwM9Ao2N0Ajgs99v/SX6h53mDxpinABxvjGmvlrCPkiHlLhunf5X7B2A9qOTiwpD3L8y9f2HI5+4DUC/mn5ibvwNUenGaeG9/UFnWPwTW9b7cZ9bI5QPff2PC3/P53PKXh7y/LPf+egBzxfxpALaBSkVuBXCYeK8eNL7cEICZYv49uXW9w/E900O+/8bcZ04r97HXv9L/aZhCKSaXemK4Hs/zHgY1+nUA+AfP83aJ99YB+B2AI40xNWIdnGHwWbl87jPLQMMKfTzh9izITbtjlrva87w3xffsArnbJgC3eJ73gnhvCMBykPM/zLGugeAMz/O2hXwvj1G3IOR9ZQKjYQqlWOzyPO9Vx/xNoDSupxzvvQl63N8n9z9AGQYjAJYYY5Y4PlMHYIYxpsuLH2mmKzfdGbPckyHbDYRvNwDME/P+A8D/AvC4MWY5aBzJ33me90bE9/LIzdNjtk+ZgKgYK8UiLOa5FwA8d0x0b25aK+Z1gc5TV6OXpAU0/loU7FLzGtsCRG1bou32PG+FMeZ0AJcD+CsAnwOAXFz4Ss/zHnCspzGwncokQsMUSqXTA2Cn53km5m9DgnXxCMldkUtlhOd5v/A87yRQWOZkUEz4CAA/N8Yc7vgIb1fYSM7KBEbFWKl0HgPQYYw5IoN1PZubHprBuhLjed4ez/N+43ne34J6/dXBDmkv4e1aW6ptUyoHFWOl0rkxN/0/xpg5wTeNMc3GmOMSruth0KjJSZcvGGPMycaYRsdbs3LTfsd7x4GyNp4r2oYpFYvGjJWKxvO8B40xXwZwLYCXc92GXwPFiPcF8F4AjwD4YIJ19RhjHgSw2BjT4XleXEPeeLgBwEJjzGpQqtwwgKMBnAQaVd2X62yMOQSURXGb53naLXYSos5YqXg8z/s2gPeAOlGcAKqZsQTAXAC3AbgqxepuBoUJzs12K/O4BtSh5QgAnwHlOM/KzT/GcSO4IDe9pcjbpVQoWptCmVTkcpj/CHKq76wEF2qMqQewDsALnuedUu7tUcqDOmNlUuF53iioG/U7QHnAlcDFoNzqy8u9IUr5UDFWJh2e560E8CXE5xuXiiEAn/Y875lyb4hSPjRMoSiKUgGoM1YURakAVIwVRVEqABVjRVGUCkDFWFEUpQJQMVYURakAVIwVRVEqgP8PIXr9w1J7p3cAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 8\n"
     ]
    },
    {
     "data": {
      "image/png": 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WiT/mzDNZ3pwcHjk89BDL3rkzU/ZmzOB2rmbctCl/NE2bcoe2eHF47btt29QFxCVLgOnT+V1MmhR9G5dT3a0bTyzGem1r+X4iO7xs3156zTsV/DuSyO7ieXk8ObxjR8WWQSpfvKM6t82GDd75Fr+ePXmkneBvI9jBOD+fDeO//CXgn6H53HNZa33pJf45Bg7kIXrt2sBTT3kTgvonDe3ZE6gVers/+xmXAwYwSD/xRMntXRtuZatbN7nHHXccP4N33uHOyFrevvJKtov7g3Ht2t7kptdeC1x9tfc8bdowIKaiBuh6NN5wA5tcouWHu2DctKn32tH87W98P6ec4p0fWLeOOdj9+1dsjdUfjDduDL9v0CDgueeAF1+suNeX9Gja1DtKjWX7djZjnXhiyftc09snnyT2etbaZC8Va88edg5+5JHo9/fs6ToPW7tmDdddd523DrB227bwxyxcaO1rr8V+zeJi77Gh7d5991377rvvlv/9VIb8fGsHDLD2lVesXbrU2iuv5Hv56U+tvfVWa485Jnz7zz6z9uDB8HV/+AMfs2VL+cszZIi12dnWfvABn3PevJLbPPUU7/vuO2sHD7b2xz8uuc22bdY2aeJ9N7Nmcf3993vrli2LXY7i4vK9j/79vdd57z1v/ebN4b+3m26ydufO8r2WBMPBg973WpqcHG7zxhsl79u719p69ay97Tb/2pgxNbg1Y5dbHOskmhtfoX597xDhpZeA115ju+gtt5QcV+Lss2MPDA+wzfTBB3k9tFcbNmwYhsXbOwZF69ZsBx45ku2br73Gz8lNiOrPVwaYmZKREb7On1Fx6JDXISQZS5fyc+zRg7eXLy+5zbZtrKkfeyxfOy+Pf4GCAja5rFrFYUZ372YzVJ06wMKFfOwHH/Boplat2GOWvP46fyMPPMDb1rID0HffJf4+8vKYVgmE14xdOSZO5HLKFDZZSNXnP/FWWpbSpk1c+nvJOkcdxSOnv/89oaa04AZjd/jqcmojuTy+227zenDVqsVgu3Ej8PvfJ/e6997Lx4dme169ejVWl2U8jKDp2pXt6N9842VrlMYNdP/112y+6dChZCphInbu5HfYuTNft0WL2MG4cWN+h507M+gWFrJDy/3388TtsmXA//0fA3u3brx95Ah3MoMH84TkzJnRy/HWW2yHf/FFBuLXX2fTTGknRv0OHuSO4eyz+fvyT8E1axbz3u+7jyeG+/Xj+CLOnDleR6OabO5cLxPlwAEvzTLIXFMnUHpGhAvG0ZopAOCnP2U8+fDDuC8Z/GDcpEn0+92JpocfLnlfrVpe+3BZGRP2wY4dOxZjx45N7rmCoGtXtmktWVKyZhxNVhaX69dzyijAa1MvC9eRw3VY6dIlfDwMJz//vzs+nHYalx99xBOPI0fy+/3sM28i144dWVtft46DG516KmvOy5eHB0qAwdelQBYW8nFPP83b77zjDY4UyQ3sD/BzsJav27SpVzM+cIBnzi+7jO38w4dzVpfNm3kUsmQJz0lU5d9OKsybx5PvgwbxM+vRgzt89/9OhYo4gevPKIr2u3VKqxkD/H00a8aesnF2zFU3GAP8Uv2dI6Skrl2964kE48xM/rDWrfO6ciZTM3bNG64JyXWoiTzRtm6dl2LYrRt3ok8+yZrv6NEcnN//Htq3ZwB3Q6O6YAyUrB0XFjJ43n47b8+axaaTLl04+NT8+SXL/dBDbNaYNs0rH8AyNm/OYAswS+T777nDcFxzzIoVPJEM8BA1ciaXdKrs1Dz329mxA5g6lYGtqCj5I9dIhYWMAdOnp+b5HH8nstKmOfvmG8aoevWi35+RwWax3Fzgf/6n1JcMbjB2KUQVPZ5wdefPEEmkmcI95l//4g/92GPZZuoGD1q8mD0C4+Uir1vHowwXaDt0YF64y+oAGKT8aUGZmWzr/vxzBsSePUs+b4cODChvvcU/YXY2y9u+PccG8HNZEFdcwdr344+z1vu//8vXmjGDtdkWLbzf23vvcekmi3U7JNfc4g6x//IXlqV/f+/1unfnctkyHppnZLC90fX6TLfDh1lLvfvuyntN/+/k7rv5f+7Vi+c2UmHRIi7dDjdVdu1i5aVhw9KDcV5eeH+FaC64gM1isZrSQoIbjLdtY05xrD2OJMZ/gs4/XnNpOnXy/kRXX83g5w7VHn2Uh/jXX1/6c6xdy5Ov9evzttsp+Nvfly/nIab/xzxiBJcXXRT9u3e54G+9xev16jHoX301/+DupBrA3GtjWHseMMCr1Q4cyPTGadN44m/TJtaSi4u9PGZXs//iCwZr10NyyxZ+HsuWcZhT/xCrxxzD9/K3vzG4uwCRk1P6Z1VRjhwJrwm/+CKbDR57jJMpTJjAAB1NqsYIWb/em6Fm3z7u/C68kDXmsow4GIsbY2XLltQ2V+zaxXTRrKzwYFxczFRR9/kkEowB7oDifKbBDsalNVFI4u65hyeXzjgjse39nWVcTvYXX7CN1eUOz5vHQYpiTY66dm14IrxranAn8bZtY1f3+vXZg9AZN46demLl7XbrxoHogfCZWu68k70Qb76ZTRPz5jEwd+jATj133cXthg9nB5f77mO++vjxrCUvWMA/nTsCcMH4P//xgskJJ7BmXFDAQOJ/fadHD682PW4cy+oflCnVrGWZIgPRypXcAZ57rvcdTZ3qHR2NGcMd6/LlPDo56yyehAQYrDMyGLDLa/167jRdFtMdd7CmaC2PHvy2bCl75xn/ji6VJwZ37eIOODIY/+1v3JmPHu2d3E0kGLujptKUlvcW51KxBgyw9swzK/xl4pk9e7adPXt2uotRuT75hLmTDRtae+iQtRkZ1v7yl9bOn8/1L75obYsWvD58ePTnaNTI2rFjw9e1bm3tiBG8ft991taqZe2nn5a9fI0a8bVfeSV8/Ztvhuf9AsxFdtatY/56pH79mLf+9tt8zODBXO7da239+tb+/Ofc7oknuP7VV7lcuLDkc73yCu9r25a3zziDecoV4dAhfp6AtXff7a3fvt3aH/3I+wyeeMLal1/m9aeesvaxx1g+wNoXXrD2+ee9bYuLmR8OME+9PI4cYZ7tnXfyc1+6lOt/+IHlu/FGb9vly/maQ4eW7TU6dbK2bl0+1j1/KpxxBn8Hv/oVf//79nH9wIHe67nLq6/Gf74jR/h/KiWmBjcYd+5s7aWXVvjLSAyLF7NTiLXWduvGP+ikSV4HjR07rL38ct5etcrawkJrL7qIHTK++47rJ08Of84RI6xt3pwJ9eedZ22PHsmV7e23rb399pKdOYqL2fHn3HPZyWXAAHbMiOeWWxgc3PubMoXLmTO9nY+11v7lL7w9ejSXO3aUfK7iYmunTrV25UreHj3a2uOPL3/HE2u5cygo8G7fdBPLUauWtXXqWLt1K9f/8Y9eRxh/56gLLvA6+Rw5Yu3RR/O93367t83GjdxpAuWvDG3cyOd59tmS9w0bZu3JJ3u3J0zgtvXrx36+JUusHTnS2q++8tY1bGjtWWfxsW+/Xb7y+rVvz85Ss2bxuWfPtvbwYWsbNODn9dxz/Jx69vQCdTwHDlhb5YJxcTHf9B13VOjLJGLFihV2xYoV6S5Gev3sZ6wJ9+ljbdeu3vpNm/gTevhh1swA1iIWLuT1yJ6L7of9+OMMBDffXLnvI5Znn2W5zj7b2qwsr/w33sjlkiXc7p//5O3OnRlgE/HMM3zMN9+Uv5zt23u112XLeH38eK+877zD7X7yE2s7dOB2773H+zp1snb37vDn692bRwUDBnjB+LXXvOtNm5a9jMXF1r7+urWff27tv//N53E9Jv1+/3vet349b7ujEWNc0ArndjAAA7K1Xi/d8eO5fOaZspc3liZNrB03ztrvv+eObtw4a1ev5uu8/DK3+eEHXsqmigTjAwe4x3FdDFP54Sapb9++tm/fvukuRnr9+c/eHyGytnvaaezC3LSpt43rlv711yWf68ILve2idSFNh3nzvDINHcrACVh70klcfv89t3N/xrLUGhcv5vbDhlm7YUPyZczN9V47L487sqOOYoDdt48B4557uG2bNuFNDDk50btpX3uttS1bWnviiTwKdeUEeJgOWFtUVLZyuh2Dax4Bwmuyke/nllt4u3lzvgfA2i++CN92xw7u5AcPZpnr12cQXLOG20+bxsdOmOA95umnrb366uiBPdKSJdY+8ABrvtZyh+J/vtGj2TTxu9/x9ZYvL9tnEq6KBGM3ToG7vP9+hbxMWSgYW/7wzziDtajIP7X7w7m2s9q1eT0zk4fCkfwBLZE/SmVwzSoAx0I5fNgLDK7t11qur1cvvHYWz5Ej3g7oxz9mO28yXBOJq71mZ1s7aJB3f48erOEWFbF2+eCD8Z/zgQe853zsMa/mDXj3ffll2cp50UXec5x8Mpf790ff1jWPjB3rfaYA2/79nnvOC4JTp3o1ancOY84ca1u18r4TdwQGsOnJWgb4aEe4RUXetm58k717vc/EWmvXrvW2qVs39vtJTMyYmv5sir17mVdaXAz87nfh96VjGEspqW5ddrKYN49nmP1GjuT39JOfAFdd5Y1U1aVL9F6QHTowh3fBguCkLR53nNcN/KqrwicW8Oc6167NvySQ2NlxgJ/Bm28ye2P5cuZpRzp4kPnKrqPI4cO87NnDlDtrvZS7WrU4ce2XX4bnOLsejq5jjT8jJhZ/FkB2ttdppV49ZmEAJUepK82XXzJV8N57maO7bh1/Gy69MdKTTzKj5k9/4u2bb+Yycpqzv/6V76d7d6+3Zn5+eFfkli1ZVms5ymPHjtz+ww+5rn9/vr/77mP3efdYfw64m7HDdfhwv/WTT2a2CcAha2O9n3JKbzB2P5pu3ZjysmEDxyceMoQJ4v4OCxJMTZow1/K99ziIjxtQp7Q85DPP9MaXDoq5czmwkusO7tIATzklfDuXrleWqbgaNPDGwnB/+J07vZSp555j0L3jDqbUtWvnTRjQvz97Dv7nPwyYPXt6M527zxrgf6WgwOvxVtZg3KWL1x29cWO+NhAejOfMCR/iNC+P6YMTJ/J9TZzINMJbb/WmCnMTGURTqxbw7LMMkuecw/dWr154MF6/nq9x9dXM6Xbfz4YN4cG4RQuW9eOP+Vn96lfs4PLpp9wJuh69kyaxMuAGBPOPj+06+kQGY8CrKN5yS+z3U16lVZvjXMrPnW11l2bNyt5GVcHUTFFGe/bwpFEqsgfSaft2tk9GtvPm51u7YEFyz9m+vbUXX8zrLsthzx5rR43y/gOXXBL+nwDYHNGqFbNRbr2V6xo0CG/ymDHDa/OtVSuxJqC9e5kp07Ejm1N27WJ7/5Qp3uH7b37Dbb/+2itPQYG1//hHyXJGbt+hQ/SmgWhck1a7duHt3WPHsmnAZZEcOMBmmAce4An+zEz+1saPZxv6nXeyfXnPHi9V8Yor7H9P9GVn8zHZ2Xy+u+7i8w8YYG337lznTjx++GF4GYuKUvG7Dmib8ezZ9r9nJ8eMKX1M2jRZtGiRXbRoUbqLIdXBddfxLP3OnV7weu45a/v2ZYDwZwt88AED7MSJ3vpnnvFyqW+4Ify5V63ytuvQITXlPe44ps9ZG16OO+/kybTmza196SUG3OHD+R8ue3ZBuH79mKq2apWXOhmZdXPiidyBXXWVlx43ebL33s8+m+u2b/fK3KaN9/g77uBJwCNHuPPLzua6Bg24zmWgfPJJ+d5LdDFjaiVP8hbBHSIMHswJNgOoj793mEh59O7NXovPPuutW7qUh+KXXebNhnLHHV6bdHY28Otf8/p557E326ZNJQd96tyZTQR79ybWRJEId+gPsBmlVy82E0yezHX33+8NfuN675XXSSfxta66is0g11/vvZ6TlcVmiiNHvBEWW7Tgcs0ajkUCsKdlp05sSz/vPO/xJ5/MEeQ2b+bzZGVxu/37OfBPtGaKSpB8m3GsPu1lsWYN33CsMYsDYPHixVgc7aSLSFm5HfvEiZwEtk8fVkgKC3kC8bPPgH//O/zkYJcuHPntsce82c6bNw8fEwNge/1RR/F6376pKW/Llmy/PXSIZevVi93OnTFjUvM6fp068TW//JKD9U+dWvKEWevW3gk8F4zdiWMgfKqkhx9m8HXd+gGvrTwvj8G4dWtvzJPc3CoYjGfNKv+rf/stP8zIH1aA3HPPPbjnnnvSXQypDk45xQseF17IGuySJcwkatMm/Ky932WX8YRUvP/J448zCyJVs424WmVODmuSZ57Jk3xLl3IGllgDqpeHfzCrWLPyZGUxYBcUeGXIyuIIa0D4GCyXXsqTov6asQvGK1dyxpdWrbyjia++8oLxMceU882UTfLBOBWDQ3/7bWJj7IpUB8awiaJPH85m3qGDd19k1kYyrr2WQ5+mKvWqa1cOnDR1Km+7dLfTTw8fYzqVTjuNqZSjRnk1/UhZWTwyP3jQy64AmNaXlxd/YolWrZim6AYqat2aGSSNGnk14wYNKj31Mvk2Y/+U5Xl5bK9KdLxcZ8uW6GPWilRXl1zipX35a3BuZLggcQH3+efZdl0RNeFItWpx0P7SZkl3OeGAlxsNJF6xq1uXQdyNqewCujsS6NCh0psogFTUjAsLeXg1cGDp2+/axdxhNw0OwGBc1gAuUl2cfbZ3PTMzfeWIpWtXr5Z59dWV97r165c+g4+/Kadbt+Reo107b7hUtyPs1Ilt1Tt3VrFg7GrGbnqaVavYGF5czMOayNl3f/lLnoS47z7e3rePZ34VjKWmqluXvc9ijd2cbvXrs8fg+PHhJ+7SLTOTTSaZmV47cVm5duMWLbznOO00xrW5c2PPSl+Bkm+mcDVjf3fC99/nnnTcOA5G7nqt7N3L2X0B4JNPeDJgyxbeDnib8e8iu2iLpFJFZCSk0pln8hI0s2eXL6Pr4ouBP/4xvH3dZbvs3JmWZqPytxnn5nLm19xczurrpufxp4MtXMia8K23cnZeNzcZEPiacfdExyAQkcqTkRE+pVhZDRrE1Dn//9t/EjUNwbh8bcbW8gxmp06cSuXNN9nmcswxzEt0bTILFjAP8rrreHv9eq9mHPBgPGfOHMxxUw2JSPUxblz42Bm1azMjBahiwXjrVvZg2bePZx/901BPmMBA7aY5X7CAZ45dLl9+vjdLcMCD8a9//Wv82vWAEpHq7YUX2IciDU0zyQfjffs49CXA1JA+fTgS0qxZXmbFmjXsYrh0KUdlysxk8PXXjAPc+05EapiMDA7PkIaOaOUbm2LRIi5btWLhXaaEm4127VqesDt0yEsYd7Ot1q3LJOvS8glFRGqI1AVjv6OPZoJ4bi4DsTFebmBWFtuTGzYMfBOFiEhlKd/g8osW8WRdtFy/rl2Ze7xgAROzXRJ1mzYcGWnTJgVjEZGQ5GvGtWqxb3is2Ti6d2cnj7p1gbFjvfVZWawtL1ninbkMsD+5KWFERCpQ8sH45JN5gi7WeL8uf+/QIeCii7z1/oE9srOTfvnK0lFTP4lIJUi+mcINcuLvX+83aBCbMFq0CB++zj/IRxUIxjNnzsTMmTPTXQwRqeaMdbPdltWWLRaPPsrBmxs0iL7N/v1MgWvc2Fv3ww/e0HTr1oVPihhA/UKTPs6fPz+t5RCRaiFmzlzyzRRNm3pTi8fSoEHJQJ2RwUGdZ8zgNN4iIpKmOfC6dUt+6DsRkWqofKltIiKSEgrGIiIBkPwJPCDpB1YlBQUFAICT0jDYtIhUOzFP4CkYi4hUnpjBWM0UcUyfPh3Tp09PdzFEpJpTzTgO5RmLSAqpZiwiEmQKxiIiAaBgLCISAArGIiIBoBN4cWzfvh0A0Ng/2JGISHKUZywiEgDKpkjWtGnTMG3atHQXQ0SqOdWM41CesYikkGrGIiJBpmAsIhIACsYiIgGgYCwiEgA6gRdHUVERACAzMzPNJRGRakB5xiIiAaBsimRNmTIFU6ZMSXcxRKSaU804DuUZi0gKqWYsIhJkCsYiIgGgYCwiEgAKxiIiAZD0CTxjzBhr7fMpLo8ElL7vmkXfd+UrT814TMpKIVWBvu+aRd93JVMzhYhIACgYi4gEQHmCsdqTahZ93zWLvu9KVp4eeCIikiJqphARCQAFYxGRAFAwFhEJgDIFY2NMS2PMS8aYTcaYg8aYfGPM74wxx1VUAaX8jDGXG2OeNsYsNMZ8b4yxxpi/xHlMH2PMLGPMd8aYImPMKmPMeGNM7VIec50x5lNjzF5jzG5jzHxjzNDUvyOJxRjTyBhzgzHmLWPMOmPM/tB38W9jzPXGmKj/eX3fAWCtTegCoB2ALeDQmW8DeBTA3NDtXACNEn0uXSr3AiAn9D3tAfBV6PpfStn+YgCHAewF8CKA34a+Ywvg9RiPmRy6vwDAUwCeBbAjtO6WdH8GNeUC4MbQZ74JwF8BPALgJQC7QuvfQOjEvb7vYF3K8iV/GPqgb41Y/2Ro/XPpfjO6xPzu+gNoD46l2q+0YAygIYCtAA4CON23vj6AxaHHXhXxmD6h9esAHOdbnxX6gx4AkJXuz6EmXACcB2AYgFoR65sB+Cb0PQ3X9x28S0LNFMaYtgAGAsgP7QH97gewD8BIY8xRiTyfVC5r7Txr7Vob+sfEcTmAJgBes9Z+5nuOAwAmhm6Oi3jMjaHlb6y1O32PyQd/L/UA/E+SxZcysNbOtdbOtNYWR6z/FsBzoZv9fHfp+w6IRNuMzwst/xnlS94DYBGATAC9Ulg2SQ/3Xf8jyn0LABQB6GOMqZfgYz6I2EbS51Boedi3Tt93QCQajDuGlmti3L82tOxQvuJIAMT8rq21hwGsB1AHQFsACB0NtQCw11q7Ocrz6bcRAMaYOgCuDd30B1F93wGRaDA+JrTcHeN+t/7YcpVGgqCs37V+G1XDowBOATDLWvuhb72+74BIVZ6xm2RPfaurv2S/a/020sQYcxuAX4AZEiPL+vDQUt93BUs0GLu93TEx7m8YsZ1UXWX9ruNtH68mJRXIGHMzgN8D+BJAf2vtdxGb6PsOiESD8erQMlY7UPvQMlabslQdMb/rULtjG/AE0NcAYK3dB2AjgKONMc2jPJ9+G2lijBkP4BkAX4CB+Nsom+n7DohEg/G80HJgZA8eY8yPAJwFYD+AJSksm6TH3NDywij3nQtmzSy21h5M8DGDI7aRSmCMuQvsjJEDBuKtMTbV9x0UiSYkQ50+qsUFiXX62AZ1AqiyFwD3hr6PzwAcH2dbfd8BuSQ8nrExpl3oyzkBwDtgt9ozwd5dawD0sdbuSOjJpFIZYy4BcEnoZjMAg8DDzoWhdduttXdGbP8G+Kd6DcB3AC4C06DeADDCRvxwjDFPALgDQGFomwwAVwJoBO7An0n9O5NIxpjrAEwDcATA04jedptvrZ3me8wl0PedfmXc454E4GUAmwH8AGADeHKg1L2vLum9AHgArMnEuuRHecxZAGYB2Ak2QX0O4OcAapfyOtcBWAr2yNwD4F8Ahqb7/dekSwLftQUwX9938C6a6UNEJAA0nrGISAAoGIuIBICCsYhIACgYi4gEgIKxiEgAKBiLiASAgrGISAAoGEvSjDGjQjNNj0p3WcrCGHN8aBbkyCnE0sIYM9MYk2eMyUh3WSR9FIwFABAKqmW5jEp3mcvhIQANADyc7oKE3AuOjnZbugsi6aMeeAIAMMY8EGX1eHB82t+DU737vQ1OydMcwGZrbZUYv9YY0wpAHoCXrbVj0l0exxgzC0BvAC0th6mUGkbBWGIyxuQDaA2gjeXMv1WeMeY3AO4BcJa1dnG6y+MYY64EB+kZba2dmu7ySOVTM4UkLVabsTEmP3Q52hjzlDGmwBiz3xiTExohDMaYOsaYe4wxa40xB0JtpreU8lqDjDGzjDHbjTEHQ9v/1hhzbBnKa8Ap5AuiBWJjzLTQ+2ljjLnFGPNlqGz5obKa0HZXGGM+NcbsM8ZsNcY8Y4ypH+X5zgm1BxeGyvytMWaJMeb+KMV7Bxw17fpE349UL3XSXQCptuoCmA3geDDQZAD4KYC/G2MGArgJHIL1A3As3SsAPG2M2Watne5/ImPMfQAeBId2fA/AVgDdANwJYIgxpre19vsEytQFbFZ5Lc52k8Fxn2cC+Cc4nORvAGQYY74DJ/d8GxyCdACAmwHUBjDOV+YLAbwP4HsA74KzYxwPoHPovT/of0Fr7QFjzDIAvY0xx1SVZh9JoXQPG6dLcC8A8sEhF7Ni3D8qdP+oGI+bCaCeb/05ofXfgUMvHuu7ry04LOuKiOfqH3rMYv/2Ea//VILv58bQ9r+Icf+00P35AFr41h8LYDs4VOQ2AJ1999UD55c7COAE3/q/h57r1Civ0zjG6z8VesyQdH/3ulT+Rc0UUpHGW990PdbaheBJv+MA3GWt3eW772sAiwB0NcbU9j2HyzAY7d8+9Jhp4LRCVydYnlah5eY4202y1m70vc4usHabCeCP1tqvfPcdBDAdrPl3jvJc+yNXWGu3x3hdN0ddqxj3SzWmZgqpKLustXlR1m8C07iWRblvI3i43yx0HWCGwSEAVxhjrojymAwATYwxjWz8mWYahZY742z3WYxyA7HLDQAtfev+CuAyAJ8YY6aD80gustYWlvK6bubmxnHKJ9WQgrFUlFhtnocBwEZvEz0cWtb1rWsE/k6jnfTyOxqcf600rpZa4mRbhNLKllC5rbVvGmOGAvgFgP8HYCwAhNqFJ1hrZ0d5ngYR5ZQaRM0UEnS7Aey01po4lw0JPJebIblRqVuliLX2fWvteWCzzPlgm3AXAO8ZY7KjPMSVK9ZMzlKNKRhL0C0BcJwxpksKnmtVaNkpBc+VMGvtPmvtXGvtHWCvvwx4U9r7uXLlVFbZJDgUjCXongotXzDGnBh5pzHmKGNMrwSfayE4a3Ki2yfNGHO+MaZBlLuahpZFUe7rBWZtfFFhBZPAUpuxBJq19iNjzN0AHgGwNtRteD3YRtwaQF8A/wZwYQLPtdsY8xGAfsaY46y18U7klccTALKMMfPBVLkfAJwG4DxwVvWwXGdjTEcwi+J5a626xdZAqhlL4FlrHwNwLtiJ4ixwzIwrALQA8DyAiWV4uilgM8FVqS1lCQ+DHVq6ALgBzHFuGlp/RpQdwXWh5R8ruFwSUBqbQmqUUA7z52BNtUcQaqHGmHoAvgbwlbX2gnSXR9JDNWOpUay1R8Bu1KeCecBBMA7Mrf5Fugsi6aNgLDWOtXYWgNsRP9+4shwEcL21dmW6CyLpo2YKEZEAUM1YRCQAFIxFRAJAwVhEJAAUjEVEAkDBWEQkABSMRUQC4P8DaOTpM1QVFg0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 10\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/29/2024 3 1 11\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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5he4Ja8UOHMjHli28/f/hB3f7mTOBZ55hxf8Q119/Pa5/7TWga1daqYsXUwCvuYYuhmgWnhWaxo3Dl3fvTgG27oHnnwdOOYX7qF6dy7p0AV5/nQHoGzawf5Mmcd3atXR/2AgNu/9du9xjvPwyLz6Aa4Vv2QLs2xfel4ICXhh69eLrZs2K7yvV7NgBdOjA5xJjESQkxmlm8WL3+dNPuxELw4bRsrz+esbqWt56i+3Ro65gOg5w+DD9xcOHu9vefTfbaKFlscT44ouBAweYAPL557TOL70UaNiw+D6qhMqGGEN3BEBR3bHD9UVby9sroLfeyovPypW0RAcO5HJvPLF9nZvr+qmtGKfTVbFjBy9IQPrFuKjIDdV74QXg73/PXIZhTg6zGg8fzszxRNmRGKeZb79la0Vx0CCKW9u2wKJFXPbuuxQlAFi6lNXVAHeA78AB/rGHDAH69QN69+ag2Dnn0PVQEjEeMYKWbc2avDhkZ7uWaTxq1ADq1uXcXEVFscXYa+U/8QTb664DKlUq7qqYM4ffhRXrdItxfj6/l/bt+fnTLcb33MO7mfvvB+64A7jlFnecoKCA5//QofQc+/XXORbw5z+nZ/8i9UiM08zGjRysmzKF1dIef9xd17Mn3RLHjvF2/ccf6Rb45S8Z+fDZZzxB27bRSh0yhKK2cCEwZgxPWvfu9O1OmsQ/oLW8du+m0DVoULxPrVoBl13GwUQgOTEGaB1bX3YsMba+bMC18rt3pyVuLz6WL74Azj2XySZAcTHesKG4NR1JSSzN3bu5ffPmvEilU4wdh+cc4CBmrVp8/uWXbJ95hhdV685JNQcOsJ07Nz37F6lHYpxmNm0CTj8d+MUvWCeiUaPw9V27sl21ire0jkOLd+hQ4OOP3VvN00+PfpIuvZTW9913A7/+NetFABzAa9DAdTVE8tvfus979kzuszRv7oaDnX462+rVebGxYmzbM85gawwt0SFDgE8+Af76V1dAV64EunVz91+nDve3YwdD4jp0iN+3/HyGxNn450TYVHArxun0Te/ZQ1fTtdfSDfPmmxz0tBcXe9H69FPeaaSajRvZbt2q4kvlhePH2UqM08SmTUC7drHXt2gBnHYahcmGXZ19Nv/EP/0ETJmCMZdcgjFPPx39/SNGUFxuuAH4j/8AHnyQ1lBWlhtXHI3+/ZlB9/77sQU7Eus3rlnTfQ7QOrZWphW4wYPZVqrE8LgHHqC4/ud/An/7G6Mm9u2jQFmMccPbbJwzED1jEOAdwfr1jH9OJnNvwwa2HTqkP4zOHuuGG4AFC5gg06OHK8K2et7+/elJAbfH//HHcNeRCC42isgOpPvAiSvGx47RMoknxsYw3GzFCvqLa9fmIN/Pf06/8K234rL338dll10W/f1t21KIpk4F/vEPiuTTT/PP2L59/OP+4x90iSSLHWj76Sc3xRqgGFsR3r2b/uWbb+ZrW3Oibl0OSPbrx76uXMnlZ54ZfoyWLTlI6J0JO1ZY3MyZ7vNkMhPXr+eFp1UrHic7OzVW6aef8vMWFdF9tHixa5naOwiAF4E9e5i9uHYtL6RA9BDHsrJ5s3sXlpWV+v2L1GPHjWrU8K0L5VeMDx1yRS0aX3zBgZq+fePv5/zzKTiLFtEqNoaPMWOAKVOwbssWrEsm5bhaNcY0f/op/4zxxLg0WOG2omyJFOPGjemmOHo0PCnFGLorVq5005G9ljFAH/K333Jw79praVkvXRq9PytX0h9drVpi3zLAC1S7dhTkli3p5rDx2PHIy4vtX/7xR0aovPoqQxj/9jeezw0bXOG3WD/7V1/xQj1wIAU61WKcl0dr2J4niXH5QGJcBuwt55/+VHzdwYMMWatenS6BeAwYwD/nsmVuZIGHW2+9FbfeemtyffJauqkW45o1KYxeFwLg+l8dxxVjgJ/95JPDt+3Xj+2UKbSWI6M9evZkDPWRI5wGqmVLunqisW4dxfzcc2Nbxjk5DAccPpyC3bEjl9vMxGTcG/fdxwvOG2+EL3/jDbpdLN5zNHs2Y7G9LiArzF98wbZ1awr53Ll0V5SEd97hDC6vvMLvwBtrbuuK2IFZiXH5wM62IzEuBTaTLVpJyv/+b4rF+PHFBSmS/v05C0eNGrRsy8JZZ1FwKlemjzLVnH02UL9++LImTfgdHDpEUfZm/UVy3nm0ZPfsoYvC6+4AGEtduTL96IMH8zbf3vJ7OXKEg3wdOzKjcfHi8CzAlSu5bPRoXjzef59RKb/+NddbMY6s0xFJQQGjVACGIFoOHmSM+Isvso82ZdyK77Jl4S4KwLWM7V1Bq1YMdzt2jAOZ3uJM8di/n3cNDz3E38uqVeEhbNaK79yZ36MduPzmG1rit98eO31d+Ie1jBPpRRop/2J88GDxeNH33mMm26hRifdTsyatv82bi1uKJcUYWq+HD/PPmAm84W1eyzga1au7rokuXYqvb9aMQr1jB3+U7dpFt4ytJWjLYRYVAXfeSeu8qIgDZuefzyiGP/+ZlvPDDwNXXMH3tW3LGgCR4XaRLFzIMLEqVcIL31s/9vjxwKxZrhg/+qg732DknUnjxrwQff01X7dowe/g73/nIKU37DEe1rK2kSwtWoT71b0x5q1bu5bxQw/RfTJlCqN0FGURLOSmKAPeIuw7d7rP8/L4Jx8yJPl9Va9ePOyttFSvntkTasU4K4u+ykQXlLvv5ndz333R19erR4sOoHW5f3/xiABv6c0ePZhg8c47wNtvc/Bv2zYOkN15JyNMevemGFmhPPVUJuDMmBHfRTBnDt8zZgw/n81oW7SIF77f/Y59uPlmWs733ON+/kjLuFIlhuIBzHi0FtDNNzMj0+s7dpzY9T4+/5znd/9+XrjuvJO/Rbu99YN7xfjAAcaV/+lPdK1MnsxYZxEc5KYoAzt3un5AK8b5+YyMyM9PPn63vGPF2A60JRLj665jDLW3olwsrKBFWsfr1lHcTj+dovjUUxTFqVMpxpUqcVDt2Wdjh+6NGuXWqhg0iCFolkWLKO7vvUcLu3dv97gAoyHatOFdDUDBvuoqtu++Sws8WgF7G1ceGWHTsSPdMdZaHTWKceJr1zIE8aKL3AvSZ5/R916jBq37887jcmtxW8u4YUP+PrdupTXtOLwIPvkkP+/TT9MNI4KBLONSUlTE23L7R9i5kwJTtar7J7Trysi4ceMwbty4lOwrLZRUjEuCFa1Iv/G6dbT6qlXj60qVOPj59de8ZT/jDBZAisewYXQ1DR7MuN9rrqF1smwZxffaaymGd9zhXjhszPP27bHjuHv3Bj74wC2m5KVOHbaDBoUvP/10HnvXLoruiy9y+fDhvMDMncsLw5497OuFF7rvPf98Wtlz5vD11q3061evTnfMoUMcbKxRgwaCMfxMu3bxN5uTE9sKF5nDirGPccZJZhwEjL17aVWcdx5vdXfudOsO7NnDP28yll8SDIr84waNmjUpBrZGRrwBvJLSti3bSMt47Vo3MsLSrx9vvz/5xB2oS0TXrkzb/uQTWo2zZzM0sHp1WpBHjwJXX+2mF1sx3rHDtZZLwu9/z757i0MB7h3Axo2utdq+vZsc0qABBd7eynpdYNWrMy79+ed5cVq3zv1ufv5ztu+/T2vd1sodNoxusYce4mexRY1SeSEVJSM3l/+jyEHtDFI+xdhmb3XoQDHasYOWyZAhtEruvjtlX+rSkMXZzZs6HCSM4Z/YZn2l8g99yikUd69lXFBAQbvoovBtva9tCF2yDBzI8/baa6wf8atfhQtm/foUsu3bebu/fbtbS6MkdOxI4Y/E3gFs2uT6sN9+mz7phx+mm+HZZymY3bu77g7LxIm0fCdM4Gub7t6tG/3vR464CTgAU27vuis8LPPee92B0dmz3ZohIjMcPeqriwIob2J8+DB9kNZCataMj2++4W3f/ffzR55CRo8eDQCY781KCxpNm3IQqVKl6OU4y0LnzuGRDBs3cpA0MhqjXj26J1avZmp4SahShaFqEyfytbd2B+CWEd2+nbf0x4+Hp4SXFbuv7Gxati1aUHRtLHvdukwoyc6mxR5Jp050Z9gYcGsZV6pEYd2xgxcYL/fdx/UDBrCmiTeO+qKLGEni4y1zhSM313cxLj8+4yVLWH3rhhsYhgbwNrp9ezdEKlq4VkXAWmqdO6e+0EmvXhRje4tuazlEZu8BtCA3bizdj/oPf6AFfNVVwM9+Vnx98+YUQ3shTqUYV6tGt0F2NmdHiUwT79OHURB33eWmUUdy2mnAI4/wTsKbaNS3L98TeadWuTKNh169GKI3fDhjqj/4gC4nW3WutGRnK565JFg3hY+UHzG2VseMGbReatemxWLDlYDoAlERsCnf6fgx9epF14S1EmfNovvCVobzUr9+/Fog8WjVisWL7BRXkVjL2HtXlEpatODg27p1xWPEK1VixMgzz7jhedEYN47jFyWN5OnQgb/rkSPpWx4wgBX2bCWxkrJ7N8dMxowp3fsrIgFwU5QfMfZW15oxg396Y8IHkqLVD64IDBjANh1/PpvWu2gR61a89RZw002Zv4Vu3py3+zaFOpWWMUAxXriQFpL3Au8H995LUbdum5Ly4Ydsn3lG1nGyyE1RAlascGtH7N/vjoDbaXzGj/enX0GgSROOyF9zTer3bZMXFi/mbXrjxrQAM02LFrQUly6ldZqqJB3v/m296ExlT8ZiyBC6a8aOdTP+vBQUcGAxVgajd5AyVqGn8kBREV08ydbMLgsBEGM4jlPaR+b44QfHARzniSccp0YNPn/uOXf9zp1pO/SCBQucBQsWpG3/5YIRI/idA47z1FP+9OGDD3j8Ll0cp0WL1O//jTfcz5ibm/r9l5TDhx2nZUvHGTiw+LoFC9y+HjhQfH2nTo7TqxfXT5iQ/r6mi7fecj/n6tXpPdZZZznOFVek9xgkpqaWD8t41Sq2Xbpw9uPLLw+v0pXK2NoI+vTpgz6RZSsrGlde6T4fOdKfPli3xIoVqfcXA6ynYfF5IAcABwR/+1tm/H3xBWt82AxEm+0HANOmhb+voIAhegMG8O7Rxt/bdd6ypQUFjI+2cdx+sG1b9GJfQPiEwh99lN5+7N2b+rutEhIsMT5+nDMbR9YrsP7iLl2Yzvuvf2VsepSFCxdiYTLF009khg+ni2jiRIbR+YE34y5FCT1h1K7N8LJkajNniuuvp13Yvz8jNf74Ry7/+mtmGJ51FkPqvGRlsRxAhw7MRp03j3HOAKvoNW7MOtAAa4HfeSdna/GDF17gwO3990dfv2kT//Pt27vzF6aDwkKGTKY6LLSEBEuMp03jJJGRluiyZUzuiDeVUZoYO3Ysxo4dm/HjBorKlZkSHIq59oVGjRjVACSeMKC0XHddekqflpa2bcPD/GxEy/r1FOIbbqD16I0Dt4kjHTowMiMvz50Y9YUXwvfz6qtsyyJ0a9e6UxaVFOsPjzWbjJ02rW/f8LuBVLN/P/3TEmMPNnxt/Xo3Xz87m9lQgwb5mqooAsDZZ7ONMgnACcv06ZydZOJEhqzt3k3rt3Vr4MYbGd5py5cC4WJ8/vmMoV64MDyqYskSdzAUYFxzLFdBPH78kYOdiSZwiIV1P65aVbykaFER8wnatWMY5b596ZtP0NaylpsixE8/cRTYJm4sWsRaxb1784fiLeAtKibvvw9MmuR/tEMmadSIRf/PPZev58+n26F1a8Z1P/00C+a/+SbXr1/Pgkj161OIe/SgGHtnHPnuO04AcPw4Z0IHYk886yU/P9yKtpP4LlpUfLbvdesYnrdnDyfEjRT7vDy3r4cPF5+gdu9ebtO6NS8sgJvyD/BCMHQoS5PGIzeXM/B89VXsbawfvcJaxuvXh5+Ajz9m4PUTTzA99ssv6SfbtYs1ZK1VJCourVszU68i3iHZePpPP2Vry8f+5jd0WUycSOty3TqKl/2Oevak+Hrrf2dluYWl7FRhiWZdAehC/NnP3AJK1t0BhE899e23jNUePJhhaU8+Cfzzn+H7Wr+eA4h2cNgrtIBrrTZu7E4U4D3Gk09SiBPFYk+bxrjrfv1ilyyt0Jbx9u38cbVqxWIpjz/OXP3WrXkCL7iAUydNmcLR+9JU6BLiRKJhQ0ZY2FKddhqpSpU4ldN339H9sHq1a0kCvMU/dsy1DPv2pfCuXu1WnAMSi7HjuJP/RhNjb2W/l19mu3KlG/McOXejdVEMHsw20rLet49tgwb0nVeqFC7G9qKUKBLknXfc517fuhd7ofJrcDqEP2Jsr5KFhRTiP/2JV6dXX6VVPGQIbx1yczlThI9MmjQJkyZN8rUPQsAYWojWneCdVmrkSKaoX3opfcresq82m9CKYt++dB+sWOEaREBiMfbOEbhmjdv268f/rBVjx+Fdru2fFTr7HsvKlRwYtv5m72w93uM1bEh3S9Ombh/z810XyYoV8Yv0L13KiWeB2K6KxYv5XdjJCnzCHzFetYo/gl27WFhm927+yGzR7rvuYvbRW28Vnz4nw3Tr1i245TNFxcIKXLt24cJRsyZT4XNyaO16Zym3YrxoEePx27enYM6dy3W2SFIiMfZapWvWcB9r13KMp1UrV4wXLOB/2RuBdN11dEl6BxFXrqQFX78+M98iLWOvGAPurCn2+Hl51Iu8vNizjO/Zw/0MG8ZwyGghqo7D78am/fuIf2J8xhn0B7Vrxx9DrVru+ho1WFbw2mt96Z6XuXPnYq4NDRLCT2xRezsrhZcHHwReeYWuAzuHIUCxszWu27Z1LWHHcQtrNWtW3DKNxCacdOhAEd6zh7OYdOrEZXb988/z4nD11fQdv/IKrefCQldw8/MZ1nb++bT4mzSJ7qaoXNmdnaVlS/eCYWPB7aw+dgBuwgROIGCxbomuXYFzzonuppgzh4IdgAidzItxYSFPZrSqXwHk0UcfxaOPPup3N4Rgnei+faPXYalShQWcokWa2MHvAQPCK8pZF0GzZsWjGSxz59L6ve02FvgfPJj/XytsnTuz5OjatXQdTJ/ObU85hXVjbrrJTdKxYvrEE4yU+sUv+Lpp0+huivr13djyli1pARcV0a1Qp44bb27F+J57OGWWjdywfezShYK8bp1bChagFo0dy/yFdNR1KSGpF+Nvv40foL15M28tImvGCiHiU7Uqo4xKWrzfJlENGECr2QqcvTWPJoaWSZPoUigspLieeSYF7c03uZ+ePbns2DFmDJ56Kms/e7FinJ1N0X7oIVrFdvAummW8d294FcZWrWhR795NMe7Z07X49+wJ9xtby3n5cn62+vUpxkVF7uAjAPzP//BO4qmn3CmxfCT1YnzeeTz5sZzq9ssoJ5axEOWesWOZFm3HZNauZbioLSnQrBn9zd5Mutdeo/X50UeceaROHcY0W8v7n/+kONes6bo7VqxgynbklFE2c3bbNu63ShWGm9kyrE2aFL8YbN8eXibVTjC7fDkvDj17uv7kvXvDpwazNS2WL3fzFmy/rTsF4CSz9erRpRIAUivG3iwaG3ry8ce8bcnP52srxhUpcF8IP6lSJXxG6/btw7PmbEiXtU6PHwduuYWuhBo1GNJ24ADdAt75/y6/nO2553JaqebNOf9kJDVrckxo2zaG3/XoER7T27QpkzhsDQ2A23prkNhwvbffpoXbqxcHH2vXpmXsFdnNm6k3q1e7/bVibmcJAugvvuQSfj8BILVi7B3V/O47frnDhrH4jxXhVat4pfQ5jEQIEcJWwbN+4zVreGf73HMUOa+FWrs2i9Z36sQ0bIDuimnTKHTegXgvdgBuxYriM/LYqov2YnD0KAfwvLVoWrWiJW/DYq3vu1EjN2rCvt68mUkkx4+7YlyjBo9joz727+cxApRMlloxtoHcAG8bvAVA7JewenW5clG89NJLeOmll/zuhhDpw1rG1lVga1YMGhR9RpW77uL/OFJ441VSbNmS40n79xcX40jL3MZSey3jypXdMNcuXVx/csOG4WLcqxfF2BtJYWnXztUhbw2PgJBaMfb6gzdtCh/I27iRgwBr1pQrMe7YsSM6eqd2EuJEI9IyXr6c/lxvYkkkJU1Jb9HCFfvIiYMjLWMrmJGlUq1rxeti8VrGNWvS/ZmVxTvzKlXCp9DyirF1awTov50aZ8nMmbx9OHKEV6pevZg3fuqpHGndu5dfQlYWR13LUSTFzJkzAQCXXXaZzz0RIk3UrUv/qxVLW7oy3uSrJcWbvBU5YavXMl+8mPU26tcv7kIYP54hc6NGucsaNeLg5L59tJY7d6a/+OWXGVvsjZJo145lFo4epRujcmXXlxwAyi7GR46wbmpREV8PGMCr0Wuv8Up38830E23ezFFcoFwN3k2YMAGAxFicwBhDQbSW8ZYtqRepq69mHDBAI81LrVq0xHftAp59luFrS5a4CR+WGjU4a7aXRo1YWnP7dhqC/fpx+aFD7kS9lrZt2W7ZwvGtZs0CM3gHlMVNYf3DdnTThqmccUZ4Qew+fXgbsnu3m84YoKuREAJuFp7jpEeMW7ZkpbXIgkGAezGwNTOGDWOIbDLYqIxVqyjGbdq4E4vapBJLu3ZsN22iGPswWUU8Si/GS5bQB/zXvzK05euvWbf07rvDZ0sYMsT162Rn08nvc6k6IUQEzZvTWDpwgHe76TCY7rsvvG6GlyZNGG1h610ki9WSAwfopjCGqdZLlhSfMShSjKMNTvpI6W30DRtYYGPjRuD114Fu3fiwzJ7Nq12TJsyUycmhq6J5czcDSAgRDLp0YbnJf/+br61wZYqmTYF33+XzyGiLeHgNO+uGiDV1Vv36zEDctIlujVgXBp8omxh/+CEt3Wj+VDuDAMAvzHE4whmwWwMhBFxDyk5wmun4W+8M7yWxjG1dZyBxZIQxvMgsWcJswxPKMt6wgQ7zWIHeFnv12riROenliNdff93vLgiRfqwYv/02B87SMQN3PLyF3b3haImw9SmA5GKG27Z1/dbWkg4IpfcXLFvGRzKTEXq/sEzf/pSRFi1aoIWseXGi07SpK8jdu2d+aisbBQEwzK4k2AG7ZGqfe/WnJBZ4Bih7XIc3ciIW3luJcpTwAQDTpk0DAIwYMcLnngiRZh57DLj3XlYxyzR9+rDqW2ms1e+/Z3afjeiKhzeRJdPWfwKMEzlFdtLvNA4aNWJsYjLB4fZKGy03PcD0D1n+8+fP97UfQogUcPAg3TB16iSePy89xLzlKL1lvHo1b22SzdJp3pwjmPFSLIUQIp3Urs1U6ABGdJVejEuaRbdoEQW8pP4gIYRIJQEqDuQlc7mAzZq5BUmEEEKEETxbXQghKiClH8ADSv3G8kROTg4AoH79+j73RAhxAhBzAE9iLIQQmSOmGMtNkYCpU6diqk0RFUKINCHLOAGKMxZCpBBZxkIIEWQkxkIIEQAkxkIIEQAkxkIIEQA0gJeA3NxcAEANW6ZPCCFKj+KMhRAiACiaorRMnjwZkydP9rsbQogTHFnGCVCcsRAihcgyFkKIICMxFkKIACAxFkKIACAxFkKIAFDqATxjzC2O47yc4v6IgKLzXbHQ+c48ZbGMb0lZL0R5QOe7YqHznWHkphBCiAAgMRZCiABQFjGWP6liofNdsdD5zjBlycATQgiRIuSmEEKIACAxFkKIACAxFkKIAFAiMTbGNDfG/MMYs9MYk2eMyTLGTDLG1ElXB0XZMcZcZYx5zhjzpTHmsDHGMca8keA9fYwxs40xB4wxucaY5caY0caYynHec4MxZokx5kdjzCFjzHxjzKWp/0QiFsaYesaYm40xHxhjNhpjjobOxVfGmJuMMVH/8zrfAcBxnKQeANoB2AOWzvwQwJMAPgu9XgugXrL70iOzDwBLQ+fpCIA1oedvxNn+FwAKAPwI4FUAfw2dYwfAuzHeMz60PhvARAAvANgfWnaH399BRXkAuC30ne8E8CaAJwD8A8DB0PIZCA3c63wH61GSk/xJ6Iu+M2L530LLp/j9YfSIee4GAGgP1lLtH0+MAdQEsBdAHoAenuXVASwMvfeaiPf0CS3fCKCOZ3nr0B/0GIDWfn8PFeEB4EIAlwGoFLG8MYBtofM0XOc7eI+k3BTGmLYALgaQFboCenkIwE8ArjfGnJLM/kRmcRznc8dxNjihf0wCrgLQAMA7juN869nHMQDjQi9vj3jPbaH2McdxfvC8Jwv8vVQD8JtSdl+UAMdxPnMcZ6bjOEURy3cDmBJ62d+zSuc7ICTrM74w1M6JcpKPAFgAoAaA81PYN+EP9lz/b5R1/wcgF0AfY0y1JN/zccQ2wj/yQ22BZ5nOd0BIVow7htr1MdZvCLUdytYdEQBinmvHcQoAbAFQBUBbAAjdDTUD8KPjOLui7E+/jQBgjKkC4Nehl14R1fkOCMmKca1QeyjGeru8dpl6I4JASc+1fhvlgycBnAVgtuM4n3iW63wHhFTFGdtJ9pRbfeJT2nOt34ZPGGPuAjAGjJC4vqRvD7U632kmWTG2V7taMdbXjNhOlF9Keq4TbZ/IkhJpxBgzCsAzAFYDGOA4zoGITXS+A0KyYrwu1MbyA7UPtbF8yqL8EPNch/yObcABoM0A4DjOTwB2ADjVGNMkyv702/AJY8xoAM8DWAkK8e4om+l8B4RkxfjzUHtxZAaPMeY0ABcAOApgUQr7Jvzhs1A7JMq6n4FRMwsdx8lL8j1DI7YRGcAYcx+YjLEUFOK9MTbV+Q4KyQYkQ0kfJ8QDySV97IOSAMrtA8CDofPxLYC6CbbV+Q7II+l6xsaYdqGT0xDAv8C02l5gdtd6AH0cx9mf1M5ERjHGXAHgitDLxgAGg7edX4aW5TiOc0/E9jPAP9U7AA4AuBwMg5oB4FdOxA/HGDMBwB8BbA9tUxXACAD1wAv486n/ZCISY8wNAKYCKATwHKL7brMcx5nqec8V0Pn2nxJecVsAeA3ALgDHAWwFBwfiXn318PcB4GHQkon1yIryngsAzAbwA+iCWgHgbgCV4xznBgDfgBmZRwB8AeBSvz9/RXokca4dAPN1voP30EwfQggRAFTPWAghAoDEWAghAoDEWAghAoDEWAghAoDEWAghAoDEWAghAoDEWAghAoDEWJQaY8yNoZmmb/S7LyXBGFM3NAty5BRivmCMmWmM2WSMqep3X4R/SIwFACAkqiV53Oh3n8vAfwE4GcDjfnckxINgdbS7/O6I8A9l4AkAgDHm4SiLR4P1aZ8Bp3r38iE4JU8TALscxykX9WuNMS0BbALwmuM4t/jdH4sxZjaA3gCaOyxTKSoYEmMRE2NMFoBWANo4nPm33GOMeQzAWAAXOI6z0O/+WIwxI8AiPb9zHOcVv/sjMo/cFKLUxPIZG2OyQo9TjTETjTHZxpijxpiloQphMMZUMcaMNcZsMMYcC/lM74hzrMHGmNnGmBxjTF5o+78aY2qXoL8GnEI+O5oQG2Omhj5PG2PMHcaY1aG+ZYX6akLbXW2MWWKM+ckYs9cY87wxpnqU/fUL+YO3h/q82xizyBjzUJTu/QusmnZTsp9HnFhU8bsD4oTlJACfAqgLCk1VANcCeM8YczGA34MlWD8Ga+leDeA5Y8w+x3GmeXdkjPkzgL+ApR1nAdgLoCuAewAMM8b0dhzncBJ9OhN0q7yTYLvxYN3nmQDmgOUkHwNQ1RhzAJzc80OwBOlFAEYBqAzgdk+fhwD4CMBhAP8Dzo5RF0Dn0Gf/i/eAjuMcM8b8G0BvY0yt8uL2ESnE77JxegT3ASALLLnYOsb6G0Prb4zxvpkAqnmW9wstPwCWXqztWdcWLMv6fcS+BoTes9C7fcTxJyb5eW4LbT8mxvqpofVZAJp5ltcGkAOWitwHoLNnXTVwfrk8AA09y98L7evsKMepH+P4E0PvGeb3udcj8w+5KUQ6Ge14putxHOdLcNCvDoD7HMc56Fm3GcACAF2MMZU9+7ARBr/zbh96z1RwWqHrkuxPy1C7K8F2jziOs8NznIOgdVsDwIuO46zxrMsDMA20/DtH2dfRyAWO4+TEOK6do65ljPXiBEZuCpEuDjqOsynK8p1gGNe/o6zbAd7uNw49BxhhkA/gamPM1VHeUxVAA2NMPSfxTDP1Qu0PCbb7Nka/gdj9BoDmnmVvArgSwGJjzDRwHskFjuNsj3NcO3Nz/QT9EycgEmORLmL5PAsAwInuEy0ItSd5ltUDf6fRBr28nArOvxYPa6UWG2yLIF7fkuq34zjvG2MuBTAGwG8B3AoAIb/wA47jfBplPydH9FNUIOSmEEHnEIAfHMcxCR5bk9iXnSG5XtytUoTjOB85jnMh6JYZCPqEzwQwyxhzRpS32H7FmslZnMBIjEXQWQSgjjHmzBTsa3mo7ZSCfSWN4zg/OY7zmeM4fwSz/qrCndLei+3X0kz1TQQHibEIOhND7d+NMU0jVxpjTjHGnJ/kvr4EZ01OdvtSY4wZaIw5OcqqRqE2N8q688GojZVp65gILPIZi0DjOM48Y8z9AJ4AsCGUNrwF9BG3AvBzAF8BGJLEvg4ZY+YB6G+MqeM4TqKBvLIwAUBrY8x8MFTuOIDuAC4EZ1UPi3U2xnQEoyhedhxHabEVEFnGIvA4jvMUgJ+BSRQXgDUzrgbQDMDLAMaVYHeTQTfBNantZTEeBxNazgRwMxjj3Ci0/LwoF4IbQu2Lae6XCCiqTSEqFKEY5hWgpXpOEKxQY0w1AJsBrHEcZ5Df/RH+IMtYVCgcxykE06jPBuOAg8DtYGz1GL87IvxDYiwqHI7jzAbwBySON84UeQBuchxnmd8dEf4hN4UQQgQAWcZCCBEAJMZCCBEAJMZCCBEAJMZCCBEAJMZCCBEAJMZCCBEA/h/ECLf5XTkadQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7/19/2024 2 1 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the traces from 10/23/24 slice 2\n",
    "for date in df_export['Date'].unique():\n",
    "    date_df = df_export[df_export['Date'] == date]\n",
    "    for slic in date_df['Slice'].unique():\n",
    "        slic_df = date_df[date_df['Slice'] == slic]\n",
    "        for loc in slic_df['Location'].unique():\n",
    "            loc_df = slic_df[slic_df['Location'] == loc]\n",
    "            for rec in loc_df['Recording'].unique():\n",
    "                rec_df = loc_df[loc_df['Recording'] == rec]\n",
    "                \n",
    "                print(date, slic, loc, rec)\n",
    "                trace_file = rec_df['trace'].values[0]\n",
    "\n",
    "                # read in the trace file\n",
    "                trace = read_traces_file(trace_file)\n",
    "                tm = TraceMetrics(trace)\n",
    "                tm.show_traces(measure_window=[0, 540], \n",
    "                                legend=False, \n",
    "                                colors=['r', 'cyan', 'm', 'orange', 'green', 'purple',\n",
    "                                        'r', 'green', 'cyan', 'm', 'yellow', 'g', 'y', 'm', 'c', 'k'],\n",
    "                                stim_time=48.3,\n",
    "                                ylim=[-0.5, 1.5],\n",
    "                                        )\n",
    "                    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd27af2b",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'slic_loc_id' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-101-50a511bbb395>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mslic_loc_id\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'slic_loc_id' is not defined"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "    \n",
    "                        print(date, slic_loc_id)\n",
    "                        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a35a1b3",
   "metadata": {},
   "source": [
    "## "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "TSM-to-ZDA",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}