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+# Data Analytics Mini Project Idea
+#### _Ellison Holloway_ | _1/30/25_ | _Data 400_
+
+My three-course sequence in Neuroscience has given me a unique opportunity to conduct a novel Data Analytics project. Unfortunately, a novel project comes with novel data, which I will need to figure out how to utilize. While I have yet to uncover how the EEG data works, as it will require the use of C++ or MATLAB, which I will have to learn over the course of this project, I can reasonably assume that I will find a way to work with it and include it in the project. Aside from the technical abilities that I will have to learn in order to pull this off, I was wondering: Is there any correlation between the EEG data and the psychometric evaluations?
+
+I obtained this data from [Mendeley Data](https://data.mendeley.com/datasets/bnfgrn5jbb/4), which I found on the neuroscience database [EBRAINS Knowledge Graph](https://search.kg.ebrains.eu/). The dataset contains data from 104 subjects, 40 of which completed all three reading EEG recordings, and 45 of which completed both of the math EEG recordings. This leaves 85 subjects in total that have completed one of two of the experiments. Additionally, all 104 subjects were first given psychometric evaluations in either math and reading comprehension, corresponding with which EEG recording they underwent.
+Many of the variables that are contained in the dataset are both numerical and categorical. The age, gender, and IQ estimation of all subjects was recorded, as well as many datapoints relating to the psychometric evaluations, including numbers of errors, the speed at which the tasks are completed, and how steady their attention was during the evaluation.
+
+Admittedly, not knowing how the EEG data is formatted leaves me unsure of which model I would be using to evaluate it. I am going to guess that some combination of clustering and ML would be required.
+
+This project could potentially possess great value for stakeholders, as if there is a correlation found between certain brain patterns and lower performance levels, it could assist in the detection of a struggling child that requires intervention. This is especially helpful because this particular dataset possesses children struggling with both reading and mathematics, and the potential correlations of different brain patterns with different academic struggles could be equally helpful.
+
+As for any ethical issues that may arise, I find none in the data itself. Every subject is anonymized, and consent was gathered both from the children involved in the experiment as well as their parents. As for the ethical implications of the project, there is the possibility that researching the way in which the brain works could have problematic side effects if a correlation is found between certain brain patterns and lower performance levels. While this could also be seen as an upside, as it could help detect if a child is struggling and allow for intervention, such information could also be used to justify eugenics if one is not careful.
+
diff --git a/mini-project/Attention Span Analysis of the Macaque.pptx b/mini-project/Attention Span Analysis of the Macaque.pptx
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diff --git a/mini-project/Mini-Project.ipynb b/mini-project/Mini-Project.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "e5f8227a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get yer imports here\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import math\n",
+    "import scipy\n",
+    "from scipy.io import loadmat\n",
+    "from scipy.stats import f_oneway\n",
+    "from sklearn.cluster import KMeans, AgglomerativeClustering\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# I came back up here and wrote this later just because I wanted to have shorter logs to sort through\n",
+    "DEBUG_MODE = False\n",
+    "\n",
+    "def debug_print(str_to_print):\n",
+    "    if DEBUG_MODE:\n",
+    "        print(str_to_print)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e29b8bbc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# GRAVE OF ATTEMPT ONE\n",
+    "#file_name = 'EEG data and psychometric results from children with learning difficulties/baseline/Sub0001_B.gdf'\n",
+    "#test = mne.io.read_raw_gdf(file_name)\n",
+    "\n",
+    "# mne.io.read_raw_gdf(input_fname, eog=None, misc=None, stim_channel='auto', exclude=(), include=None, preload=False, verbose=None)\n",
+    "\n",
+    "#print(test.info)\n",
+    "#test.to_data_frame()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "7b9aa0f4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                                   0  \\\n",
+      "0  [[[[[(array([[32.80834841]]), array([[314.1391...   \n",
+      "\n",
+      "                                                   1  \n",
+      "0  [[[[[1480]], [[3720]], [[1]], [[800]], [[9]], ...  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                   0  \\\n",
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+       "\n",
+       "                                                   1  \n",
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+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "# THIS CELL IS ABOUT LOADING IN A TEST DATA AND JUST PRINTING IT.\n",
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "\n",
+    "# grabbing opening mat files in python from this website. because i don't know how it works at all\n",
+    "# https://www.askpython.com/python/examples/mat-files-in-python\n",
+    "# ...aaaaaand this stopped being useful after like. the first step. turning this thing from a .mat file to\n",
+    "# some manner of data frame was all i really needed though, i can tool around with it from there until i\n",
+    "# get something workable.\n",
+    "\n",
+    "\n",
+    "annots = loadmat('hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180129_1818_G.mat')\n",
+    "\n",
+    "#print(annots)\n",
+    "\n",
+    "the_important_stuff = annots['data']\n",
+    "#print(the_important_stuff)\n",
+    "\n",
+    "print(pd.DataFrame(the_important_stuff))\n",
+    "\n",
+    "\n",
+    "\n",
+    "\"\"\"\n",
+    "item_list = list(annots)\n",
+    "for item in item_list:\n",
+    "    print(\"WOWEE THIS IS SOMETHING PRETTY IMPORTANT\")\n",
+    "    print(item, annots[item])\n",
+    "    print(\"----------------------------------------\")\n",
+    "\"\"\"\n",
+    "\n",
+    "\n",
+    "#print(type(annots))\n",
+    "#print(next(iter(annots)))\n",
+    "\n",
+    "#print(annots[1])\n",
+    "\n",
+    "#con_list = [[element for element in upperElement] for upperElement in annots['data']]\n",
+    "#print(con_list)\n",
+    "\n",
+    "\"\"\"\n",
+    "con_list = [[element for element in upperElement] for upperElement in annots['obj_contour']]\n",
+    "print(con_list)\n",
+    "\"\"\"\n",
+    "\n",
+    "pd.DataFrame(the_important_stuff)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0ef07572",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                                   0  \\\n",
+      "0  [[[[[(array([[32.80834841]]), array([[314.1391...   \n",
+      "\n",
+      "                                                   1  \n",
+      "0  [[[[[1480]], [[3720]], [[1]], [[800]], [[9]], ...  \n",
+      "---------- cool divider line ---------\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\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>dataStart</th>\n",
+       "      <th>daqSampleRate</th>\n",
+       "      <th>analogInId</th>\n",
+       "      <th>digitalInId</th>\n",
+       "      <th>digitalOutId</th>\n",
+       "      <th>sourceDir</th>\n",
+       "      <th>spikes</th>\n",
+       "      <th>presenter</th>\n",
+       "      <th>stimuliPerPhotoEvent</th>\n",
+       "      <th>analogSampleRate</th>\n",
+       "      <th>analog</th>\n",
+       "      <th>digitalSampleRate</th>\n",
+       "      <th>digital</th>\n",
+       "      <th>photoEventsRhd</th>\n",
+       "      <th>photoEventsRhdMSec</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[10000]]</td>\n",
+       "      <td>[[[Eye X], [Eye Y], [Pupil], [Photocell], [Sti...</td>\n",
+       "      <td>[[[Key0], [Key1], [Key2], [Key3]]]</td>\n",
+       "      <td>[[[Reward], [StimulationTrigger], [SpikeAccept...</td>\n",
+       "      <td>[/data/luna/luna_l/GBW-0002_Neuro_fMRI/0001_SE...</td>\n",
+       "      <td>[[828.4], [922.0], [954.3], [984.7], [1040.0],...</td>\n",
+       "      <td>[[[[[(array([[113]], dtype=uint8), array(['fix...</td>\n",
+       "      <td>[[[[array(['doublePhoto'], dtype='&lt;U11') array...</td>\n",
+       "      <td>[[1000, 1000, 1000, 1000, 1000, 1000]]</td>\n",
+       "      <td>[[-0.2835116982460022, -0.2764776349067688, -0...</td>\n",
+       "      <td>[[10000]]</td>\n",
+       "      <td>[[0], [0], [0], [0], [0], [0], [0], [0], [0], ...</td>\n",
+       "      <td>[[7642.5, 8139.5, 14312.5, 18955.5, 19956.5, 2...</td>\n",
+       "      <td>[[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  dataStart daqSampleRate                                         analogInId  \\\n",
+       "0   [[770]]     [[10000]]  [[[Eye X], [Eye Y], [Pupil], [Photocell], [Sti...   \n",
+       "\n",
+       "                          digitalInId  \\\n",
+       "0  [[[Key0], [Key1], [Key2], [Key3]]]   \n",
+       "\n",
+       "                                        digitalOutId  \\\n",
+       "0  [[[Reward], [StimulationTrigger], [SpikeAccept...   \n",
+       "\n",
+       "                                           sourceDir  \\\n",
+       "0  [/data/luna/luna_l/GBW-0002_Neuro_fMRI/0001_SE...   \n",
+       "\n",
+       "                                              spikes  \\\n",
+       "0  [[828.4], [922.0], [954.3], [984.7], [1040.0],...   \n",
+       "\n",
+       "                                           presenter  \\\n",
+       "0  [[[[[(array([[113]], dtype=uint8), array(['fix...   \n",
+       "\n",
+       "                                stimuliPerPhotoEvent  \\\n",
+       "0  [[[[array(['doublePhoto'], dtype='<U11') array...   \n",
+       "\n",
+       "                         analogSampleRate  \\\n",
+       "0  [[1000, 1000, 1000, 1000, 1000, 1000]]   \n",
+       "\n",
+       "                                              analog digitalSampleRate  \\\n",
+       "0  [[-0.2835116982460022, -0.2764776349067688, -0...         [[10000]]   \n",
+       "\n",
+       "                                             digital  \\\n",
+       "0  [[0], [0], [0], [0], [0], [0], [0], [0], [0], ...   \n",
+       "\n",
+       "                                      photoEventsRhd  \\\n",
+       "0  [[7642.5, 8139.5, 14312.5, 18955.5, 19956.5, 2...   \n",
+       "\n",
+       "                                  photoEventsRhdMSec  \n",
+       "0  [[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "# THIS CELL IS ABOUT ATTEMPTING TO FURTHER EXTRACT LITERALLY ANYTHING FROM THIS TEST DATA.\n",
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "\n",
+    "annots = loadmat('hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180129_1818_G.mat')\n",
+    "\n",
+    "#print(annots)\n",
+    "\n",
+    "the_important_stuff = annots['data']\n",
+    "#print(the_important_stuff)\n",
+    "\n",
+    "#print(pd.DataFrame(the_important_stuff))\n",
+    "\n",
+    "# UNREADABLE AS NUMPY FRAME. TO INVESTIGATE FURTHER I WILL NEED TO USE PD.DATAFRAME().\n",
+    "\n",
+    "print(pd.DataFrame(the_important_stuff))\n",
+    "\n",
+    "print(\"---------- cool divider line ---------\")\n",
+    "\n",
+    "#print(\"THIS STUFF IS THE DATA[1] THE DOC IS TALKING ABOUT\")\n",
+    "data_1 = the_important_stuff[:,0]\n",
+    "#print(data_1)\n",
+    "\n",
+    "#print(\"THIS STUFF IS THE DATA[2] THE DOC IS TALKING ABOUT\"\n",
+    "data_2 = the_important_stuff[:,1]\n",
+    "#print(data_2)\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "df_1 = pd.DataFrame(data_1[0][0])\n",
+    "df_1.drop(labels=[\"RewardSchedule\", \"NmrPulsesConfig\", \"NmrPulses\", \"Key2\", \"Key3\"], inplace=True, axis=1)\n",
+    "\n",
+    "\n",
+    "\n",
+    "#print(pd.DataFrame(data_1[0][0])[\"LeftStimulusPosition\"])\n",
+    "\n",
+    "#pd.DataFrame(data_1[0][0][0][0][0])\n",
+    "# pd.DataFrame(data_1[0][0])\n",
+    "\n",
+    "#df_1\n",
+    "# This was just to get a better look at the other half of the data\n",
+    "df_1.drop(labels=[\"LeftStimulusPosition\", \"RightStimulusPosition\", \"EyeWindows\", \"PhotoEventsConfig\", \"PhotoEvents\", \"StimEventsConfig\", \"StimEvents\", \"Key0\", \"Key1\"], inplace=False, axis=1)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9af0cdcc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done!\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "  <thead>\n",
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+       "      <th></th>\n",
+       "      <th>LeftStimulusPosition</th>\n",
+       "      <th>RightStimulusPosition</th>\n",
+       "      <th>EyeWindows</th>\n",
+       "      <th>PhotoEvents</th>\n",
+       "      <th>StimEvents</th>\n",
+       "      <th>Key0</th>\n",
+       "      <th>Key1</th>\n",
+       "      <th>dataStart</th>\n",
+       "      <th>spikes</th>\n",
+       "      <th>analog</th>\n",
+       "      <th>...</th>\n",
+       "      <th>photoEventsRhd</th>\n",
+       "      <th>photoEventsRhdMSec</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>Stop</th>\n",
+       "      <th>Answer</th>\n",
+       "      <th>InterTrialInterval</th>\n",
+       "      <th>Condition</th>\n",
+       "      <th>ResponseTrial</th>\n",
+       "      <th>TrialTiming</th>\n",
+       "      <th>PhotoEventsRHD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[[[[[32.80834841]], [[314.13915409]]]]]</td>\n",
+       "      <td>[[[[[32.80834841]], [[134.13915409]]]]]</td>\n",
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+       "      <td>[[9]]</td>\n",
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+       "      <td>[[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[[[[[13.46757377]], [[308.20541614]]]]]</td>\n",
+       "      <td>[[[[[13.46757377]], [[128.20541614]]]]]</td>\n",
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+       "      <td>[[289559.0, 466222.6, 467862.5, 470716.4, 1750...</td>\n",
+       "      <td>[[11864.1, 19415.9, 31670.0, 37606.1, 96241.3,...</td>\n",
+       "      <td>[[9670]]</td>\n",
+       "      <td>[[9675.3], [9796.1], [10073.1], [10075.7], [10...</td>\n",
+       "      <td>[[0.5390381813049316, 0.5391367673873901, 0.53...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[5653.5, 6141.5, 12159.5, 17165.5, 19167.5, 1...</td>\n",
+       "      <td>[[565.25, 614.05, 1215.85, 1716.45, 1916.65, 1...</td>\n",
+       "      <td>[[10180]]</td>\n",
+       "      <td>[[11390]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[667]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[[[500.5 100.1 900.9]]]]</td>\n",
+       "      <td>[[565.25, 614.05, 1215.85]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[[[[[27.21131657]], [[31.50426672]]]]]</td>\n",
+       "      <td>[[[[[27.21131657]], [[-148.49573328]]]]]</td>\n",
+       "      <td>[[[[[-0.145528]\\n [-0.880778]\\n [ 0.247967]\\n ...</td>\n",
+       "      <td>[[1184.6, 1234.3, 1852.0, 2185.2, 2285.3, 3353...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[266555.2, 461743.7, 463431.6, 463844.6, 1078...</td>\n",
+       "      <td>[[33017.1, 49572.9, 69973.1, 71299.2, 85777.0,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[774.3], [1051.6], [1057.8], [1107.5], [1110....</td>\n",
+       "      <td>[[-1.309370756149292, -1.310192584991455, -1.3...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[4107.5, 4604.5, 10781.5, 14114.5, 15114.5, 2...</td>\n",
+       "      <td>[[410.65, 460.35, 1078.05, 1411.35, 1511.35, 2...</td>\n",
+       "      <td>[[1120]]</td>\n",
+       "      <td>[[3360]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[850]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 333.66666667  100.1        1067.73333333]]]]</td>\n",
+       "      <td>[[410.65, 460.35, 1078.05, 1411.35, 1511.35, 2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[[[[[16.14765063]], [[51.77837553]]]]]</td>\n",
+       "      <td>[[[[[16.14765063]], [[-128.22162447]]]]]</td>\n",
+       "      <td>[[[[[-0.127235 ]\\n [-0.997852 ]\\n [ 0.26626  ]...</td>\n",
+       "      <td>[[6017.7, 6066.6, 6701.8, 6750.7, 7369.1, 7969...</td>\n",
+       "      <td>[[13208.9, 13459.7, 24970.8, 25221.6, 36982.9,...</td>\n",
+       "      <td>[[6466.6, 495471.5, 532818.9, 1073571.9, 13918...</td>\n",
+       "      <td>[[14319.7, 29082.0, 40853.1, 49555.5, 58301.3,...</td>\n",
+       "      <td>[[4260]]</td>\n",
+       "      <td>[[6561.5], [6711.2], [6718.2], [6773.8], [6778...</td>\n",
+       "      <td>[[0.07552260905504227, 0.0755554735660553, 0.0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[17547.5, 18036.5, 24387.5, 24876.5, 31061.5,...</td>\n",
+       "      <td>[[1754.65, 1803.55, 2438.65, 2487.55, 3106.05,...</td>\n",
+       "      <td>[[5960]]</td>\n",
+       "      <td>[[6470]]</td>\n",
+       "      <td>[[3]]</td>\n",
+       "      <td>[[650]]</td>\n",
+       "      <td>[[6]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 367.03333333  100.1        1034.36666667]]]]</td>\n",
+       "      <td>[[1754.65, 1803.55]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[[[[[41.19192024]], [[334.57146374]]]]]</td>\n",
+       "      <td>[[[[[41.19192024]], [[154.57146374]]]]]</td>\n",
+       "      <td>[[[[[-0.0491876]\\n [-0.965332 ]\\n [ 0.268293 ]...</td>\n",
+       "      <td>[[1464.5, 1514.2, 2128.6, 2745.9, 2846.0, 3630...</td>\n",
+       "      <td>[[23200.7, 23451.1, 26337.1, 26587.5, 49610.6,...</td>\n",
+       "      <td>[[430577.8, 435351.5, 436091.7, 705504.0, 1110...</td>\n",
+       "      <td>[[18107.1, 50904.6, 54633.7, 85868.2, 93871.8,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[3296.8], [3812.3], [3824.6], [3836.3], [3960...</td>\n",
+       "      <td>[[0.1333073228597641, 0.13327443599700928, 0.1...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[6904.5, 7401.5, 13545.5, 19718.5, 20719.5, 2...</td>\n",
+       "      <td>[[690.35, 740.05, 1354.45, 1971.75, 2071.85, 2...</td>\n",
+       "      <td>[[1400]]</td>\n",
+       "      <td>[[3640]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[934]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[617.28333333 100.1        784.11666667]]]]</td>\n",
+       "      <td>[[690.35, 740.05, 1354.45, 1971.75, 2071.85, 2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>[[[[[39.60819312]], [[333.01323701]]]]]</td>\n",
+       "      <td>[[[[[39.60819312]], [[153.01323701]]]]]</td>\n",
+       "      <td>[[[[[ 0.108944]\\n [-0.905283]\\n [ 0.414634]\\n ...</td>\n",
+       "      <td>[[4230.9, 4998.8, 6014.2, 6063.2, 7030.9, 7079...</td>\n",
+       "      <td>[[13664.9, 13915.6, 25314.8, 25565.5, 37348.1,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[6488.4, 14503.8, 29146.2, 41117.2, 50406.5, ...</td>\n",
+       "      <td>[[3840]]</td>\n",
+       "      <td>[[5359.6], [5418.3], [5480.0], [5491.0], [5508...</td>\n",
+       "      <td>[[0.9873576164245605, 0.9870945811271667, 0.98...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[3826.5, 11505.5, 21659.5, 22149.5, 31826.5, ...</td>\n",
+       "      <td>[[382.55, 1150.45, 2165.85, 2214.85, 3182.55, ...</td>\n",
+       "      <td>[[4140]]</td>\n",
+       "      <td>[[4720]]</td>\n",
+       "      <td>[[15]]</td>\n",
+       "      <td>[[733]]</td>\n",
+       "      <td>[[6]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[550 100 850]]]]</td>\n",
+       "      <td>[[382.55]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>[[[[[18.58280482]], [[272.78354237]]]]]</td>\n",
+       "      <td>[[[[[18.58280482]], [[92.78354237]]]]]</td>\n",
+       "      <td>[[[[[-0.0536573]\\n [-0.933335 ]\\n [ 0.252033 ]...</td>\n",
+       "      <td>[[1946.3, 1995.3, 2579.6, 3312.9, 3362.0, 3979...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[12600.4, 18391.8, 33194.1, 39229.3, 47893.1,...</td>\n",
+       "      <td>[[1570]]</td>\n",
+       "      <td>[[2535.3], [2558.6], [2560.8], [2575.8], [2633...</td>\n",
+       "      <td>[[-0.22388632595539093, -0.22069796919822693, ...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[3729.5, 4220.5, 10062.5, 17396.5, 17886.5, 2...</td>\n",
+       "      <td>[[372.85, 421.95, 1006.15, 1739.55, 1788.55, 2...</td>\n",
+       "      <td>[[1900]]</td>\n",
+       "      <td>[[3090]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[833]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[650 100 750]]]]</td>\n",
+       "      <td>[[372.85, 421.95, 1006.15]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>[[[[[23.7013227]], [[276.53055366]]]]]</td>\n",
+       "      <td>[[[[[23.7013227]], [[96.53055366]]]]]</td>\n",
+       "      <td>[[[[[-0.045527]\\n [-0.925206]\\n [ 0.260162]\\n ...</td>\n",
+       "      <td>[[2489.7, 2538.8, 3123.0, 3806.4, 3855.4, 4456...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[5408.7, 13722.1, 37400.4, 46590.5, 67556.6, ...</td>\n",
+       "      <td>[[1950]]</td>\n",
+       "      <td>[[3513.8], [3528.8], [3529.3], [3572.2], [3578...</td>\n",
+       "      <td>[[-0.3846185505390167, -0.3863277733325958, -0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[5358.5, 5849.5, 11691.5, 18525.5, 19015.5, 2...</td>\n",
+       "      <td>[[535.75, 584.85, 1169.05, 1852.45, 1901.45, 2...</td>\n",
+       "      <td>[[2450]]</td>\n",
+       "      <td>[[3200]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[750]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[533.33333333 100.         866.66666667]]]]</td>\n",
+       "      <td>[[535.75, 584.85, 1169.05]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>[[[[[39.83246832]], [[325.26825101]]]]]</td>\n",
+       "      <td>[[[[[39.83246832]], [[145.26825101]]]]]</td>\n",
+       "      <td>[[[[[-0.0699173]\\n [-1.0309   ]\\n [ 0.235772 ]...</td>\n",
+       "      <td>[[22896.2, 22945.2, 23546.2, 23946.1, 24046.1,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[60539.5, 91433.3, 116782.3, 122933.2, 132126...</td>\n",
+       "      <td>[[15210]]</td>\n",
+       "      <td>[[17139.5], [17152.7], [17168.0], [17224.4], [...</td>\n",
+       "      <td>[[1.7240965366363525, 1.724129319190979, 1.724...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[76807.5, 77298.5, 83307.5, 87307.5, 88307.5,...</td>\n",
+       "      <td>[[7680.65, 7729.75, 8330.65, 8730.65, 8830.65,...</td>\n",
+       "      <td>[[22840]]</td>\n",
+       "      <td>[[25050]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[616]]</td>\n",
+       "      <td>[[8]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 400  100 1000]]]]</td>\n",
+       "      <td>[[7680.65, 7729.75, 8330.65, 8730.65, 8830.65,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>[[[[[43.78690748]], [[346.41209025]]]]]</td>\n",
+       "      <td>[[[[[43.78690748]], [[166.41209025]]]]]</td>\n",
+       "      <td>[[[[[ 0.369107]\\n [-0.177238]\\n [ 0.674797]\\n ...</td>\n",
+       "      <td>[[3746.7, 3795.8, 4380.1, 4863.4, 4980.1, 5880...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[5317.2, 8436.1, 17069.9, 22138.1, 38436.2, 5...</td>\n",
+       "      <td>[[3400]]</td>\n",
+       "      <td>[[7047.7], [7052.1], [7077.5], [7081.3], [7123...</td>\n",
+       "      <td>[[0.6189881563186646, 0.6189553141593933, 0.61...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[3421.5, 3911.5, 9754.5, 14588.5, 15754.5, 24...</td>\n",
+       "      <td>[[342.05, 391.05, 975.35, 1458.75, 1575.35, 24...</td>\n",
+       "      <td>[[3690]]</td>\n",
+       "      <td>[[6470]]</td>\n",
+       "      <td>[[17]]</td>\n",
+       "      <td>[[683]]</td>\n",
+       "      <td>[[5]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[[[483.33333333 100.         916.66666667]]]]</td>\n",
+       "      <td>[[342.05, 391.05, 975.35, 1458.75, 1575.35, 24...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>[[[[[45.6351127]], [[338.16426921]]]]]</td>\n",
+       "      <td>[[[[[45.6351127]], [[158.16426921]]]]]</td>\n",
+       "      <td>[[[[[-0.104529]\\n [-0.954704]\\n [ 0.200349]\\n ...</td>\n",
+       "      <td>[[1332.1, 1381.2, 1982.1, 2315.5, 2415.5, 3165...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[378453.6, 2305193.8, 2310267.3, 2322550.6]]</td>\n",
+       "      <td>[[61370.6, 67250.8, 78375.6, 84428.3, 93255.9,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[1362.6], [1516.7], [1526.9], [1609.6], [1639...</td>\n",
+       "      <td>[[-1.6286327838897705, -1.628369927406311, -1....</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[5594.5, 6084.5, 12093.5, 15427.5, 16427.5, 2...</td>\n",
+       "      <td>[[559.35, 608.35, 1209.25, 1542.65, 1642.65, 2...</td>\n",
+       "      <td>[[1290]]</td>\n",
+       "      <td>[[2940]]</td>\n",
+       "      <td>[[6]]</td>\n",
+       "      <td>[[833]]</td>\n",
+       "      <td>[[5]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[[[ 333.33333333  100.         1066.66666667]]]]</td>\n",
+       "      <td>[[559.35, 608.35, 1209.25, 1542.65, 1642.65]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>[[[[[24.57748618]], [[273.95547045]]]]]</td>\n",
+       "      <td>[[[[[24.57748618]], [[93.95547045]]]]]</td>\n",
+       "      <td>[[[[[-0.292683]\\n [-1.07317 ]\\n [ 0.172474]\\n ...</td>\n",
+       "      <td>[[28504.4, 28553.5, 28771.1, 28820.2, 29437.8,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[61331.0, 305667.8, 1088082.6, 2213872.8, 235...</td>\n",
+       "      <td>[[47524.5, 60023.3, 69113.4, 78056.5, 95006.6,...</td>\n",
+       "      <td>[[28230]]</td>\n",
+       "      <td>[[20734.7], [20755.5], [20879.5], [20883.2], [...</td>\n",
+       "      <td>[[1.7641315460205078, 1.7724475860595703, 1.77...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[2709.5, 3199.5, 5375.5, 5866.5, 12042.5, 163...</td>\n",
+       "      <td>[[270.85, 319.85, 537.45, 586.55, 1204.15, 163...</td>\n",
+       "      <td>[[28450]]</td>\n",
+       "      <td>[[28530]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[833]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[533.33333333 100.         866.66666667]]]]</td>\n",
+       "      <td>[[270.85]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>[[[[[41.10757743]], [[325.58195124]]]]]</td>\n",
+       "      <td>[[[[[41.10757743]], [[145.58195124]]]]]</td>\n",
+       "      <td>[[[[[-0.195122]\\n [-0.968641]\\n [ 0.270035]\\n ...</td>\n",
+       "      <td>[[1026.9, 1075.9, 1660.2, 2260.2, 2360.2, 3160...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[93531.9, 95639.6, 172179.0, 193812.6, 267732...</td>\n",
+       "      <td>[[22605.2, 37107.9, 45934.1, 61323.1, 91789.9,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[1741.2], [1901.0], [2007.8], [2490.7], [2501...</td>\n",
+       "      <td>[[-0.015624726191163063, -0.014572898857295513...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[2531.5, 3021.5, 8865.5, 14865.5, 15865.5, 23...</td>\n",
+       "      <td>[[253.05, 302.05, 886.45, 1486.45, 1586.45, 23...</td>\n",
+       "      <td>[[980]]</td>\n",
+       "      <td>[[3170]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[750]]</td>\n",
+       "      <td>[[3]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[600 100 800]]]]</td>\n",
+       "      <td>[[253.05, 302.05, 886.45, 1486.45, 1586.45, 23...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>[[[[[40.31712622]], [[330.30770288]]]]]</td>\n",
+       "      <td>[[[[[40.31712622]], [[150.30770288]]]]]</td>\n",
+       "      <td>[[[[[-0.0476186]\\n [-0.739838 ]\\n [ 0.325204 ]...</td>\n",
+       "      <td>[[14453.9, 14503.0, 15103.9, 15803.9, 15903.9,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[42335.3, 48350.9, 64971.2, 82607.5, 88762.3,...</td>\n",
+       "      <td>[[14190]]</td>\n",
+       "      <td>[[15792.6], [15819.2], [15821.6], [16266.9], [...</td>\n",
+       "      <td>[[-0.23433884978294373, -0.23696839809417725, ...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[2604.5, 3094.5, 9104.5, 16104.5, 17104.5, 24...</td>\n",
+       "      <td>[[260.35, 309.35, 910.35, 1610.35, 1710.35, 24...</td>\n",
+       "      <td>[[14400]]</td>\n",
+       "      <td>[[16610]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[883]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[700 100 700]]]]</td>\n",
+       "      <td>[[260.35, 309.35, 910.35, 1610.35, 1710.35, 24...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>[[[[[32.739582]], [[313.38955988]]]]]</td>\n",
+       "      <td>[[[[[32.739582]], [[133.38955988]]]]]</td>\n",
+       "      <td>[[[[[-0.137049 ]\\n [-1.66667  ]\\n [ 0.300813 ]...</td>\n",
+       "      <td>[[2919.1, 2968.1, 3652.5, 3701.5, 4302.5, 4769...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[3006.2, 10771.6, 45499.9, 54310.5, 68063.1, ...</td>\n",
+       "      <td>[[760]]</td>\n",
+       "      <td>[[2602.5], [2659.3], [2763.7], [2814.5], [2879...</td>\n",
+       "      <td>[[5.406066702562384e-05, 8.693039126228541e-05...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[43102.5, 44082.5, 57769.5, 58749.5, 70769.5,...</td>\n",
+       "      <td>[[2155.075, 2204.075, 2888.425, 2937.425, 3538...</td>\n",
+       "      <td>[[2880]]</td>\n",
+       "      <td>[[3010]]</td>\n",
+       "      <td>[[3]]</td>\n",
+       "      <td>[[916]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[466.66666667 100.         933.33333333]]]]</td>\n",
+       "      <td>[[2155.075, 2204.075]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>[[[[[38.70982585]], [[348.14741901]]]]]</td>\n",
+       "      <td>[[[[[38.70982585]], [[168.14741901]]]]]</td>\n",
+       "      <td>[[[[[-0.129792 ]\\n [-0.756679 ]\\n [ 0.264518 ]...</td>\n",
+       "      <td>[[1095.1, 1144.1, 1728.4, 2211.8, 2311.8, 3228...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[40977.3, 80293.5, 93778.6, 106059.3, 111991....</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[784.8], [800.2], [1389.9], [1705.3], [1753.8...</td>\n",
+       "      <td>[[1.0065864324569702, 1.0065864324569702, 1.00...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[6440.5, 7420.5, 19106.5, 28773.5, 30773.5, 4...</td>\n",
+       "      <td>[[321.975, 370.975, 955.275, 1438.625, 1538.62...</td>\n",
+       "      <td>[[1050]]</td>\n",
+       "      <td>[[3230]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[816]]</td>\n",
+       "      <td>[[8]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[483.33333333 100.         916.66666667]]]]</td>\n",
+       "      <td>[[321.975, 370.975, 955.275, 1438.625, 1538.62...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>[[[[[14.80999713]], [[302.02946566]]]]]</td>\n",
+       "      <td>[[[[[14.80999713]], [[122.02946566]]]]]</td>\n",
+       "      <td>[[[[[ 0.0487805]\\n [-0.735773 ]\\n [ 0.501452 ]...</td>\n",
+       "      <td>[[8671.0, 8720.1, 9337.7, 9954.3, 10054.3, 108...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[16174.2, 19457.1, 34367.3, 40328.4, 49476.1,...</td>\n",
+       "      <td>[[8380]]</td>\n",
+       "      <td>[[9057.6], [9119.8], [9258.7], [9266.5], [9313...</td>\n",
+       "      <td>[[0.23352663218975067, 0.23365812003612518, 0....</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[5703.5, 6684.5, 19036.5, 31370.5, 33370.5, 4...</td>\n",
+       "      <td>[[285.125, 334.175, 951.775, 1568.475, 1668.47...</td>\n",
+       "      <td>[[8610]]</td>\n",
+       "      <td>[[10840]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[950]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[616.66666667 100.         783.33333333]]]]</td>\n",
+       "      <td>[[285.125, 334.175, 951.775, 1568.475, 1668.47...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>[[[[[21.31368769]], [[36.31675569]]]]]</td>\n",
+       "      <td>[[[[[21.31368769]], [[-143.68324431]]]]]</td>\n",
+       "      <td>[[[[[-0.195122]\\n [-0.595122]\\n [ 0.331707]\\n ...</td>\n",
+       "      <td>[[6913.5, 6962.5, 7563.5, 8096.8, 8196.8, 9063...</td>\n",
+       "      <td>[[13747.8, 13998.0, 16731.1, 16981.3, 28664.3,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[17676.9, 38793.2, 44465.6, 89612.7, 95335.5,...</td>\n",
+       "      <td>[[6640]]</td>\n",
+       "      <td>[[6813.9], [6865.2], [7610.8], [7664.9], [7687...</td>\n",
+       "      <td>[[-0.026110121980309486, -0.02689899131655693,...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[5361.5, 6343.5, 18361.5, 29028.5, 31028.5, 4...</td>\n",
+       "      <td>[[268.025, 317.125, 918.025, 1451.375, 1551.37...</td>\n",
+       "      <td>[[6860]]</td>\n",
+       "      <td>[[9070]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[916]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[533.33333333 100.         866.66666667]]]]</td>\n",
+       "      <td>[[268.025, 317.125, 918.025, 1451.375, 1551.37...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>[[[[[39.56225862]], [[17.08326241]]]]]</td>\n",
+       "      <td>[[[[[39.56225862]], [[-162.91673759]]]]]</td>\n",
+       "      <td>[[[[[-0.125435 ]\\n [-0.641115 ]\\n [ 0.250871 ]...</td>\n",
+       "      <td>[[2693.9, 2743.0, 3327.3, 3827.3, 3927.2, 4843...</td>\n",
+       "      <td>[[17511.7, 17761.5, 23528.2, 23778.1, 34861.6,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[64502.7, 82324.7, 91052.5, 105071.0, 145872....</td>\n",
+       "      <td>[[2450]]</td>\n",
+       "      <td>[[2454.9], [2462.3], [2593.7], [2701.6], [2775...</td>\n",
+       "      <td>[[-0.056152909994125366, -0.055824220180511475...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[7223.5, 8696.5, 26223.5, 41223.5, 44223.5, 7...</td>\n",
+       "      <td>[[240.75, 289.85, 874.0833333333334, 1374.0833...</td>\n",
+       "      <td>[[2650]]</td>\n",
+       "      <td>[[4850]]</td>\n",
+       "      <td>[[17]]</td>\n",
+       "      <td>[[683]]</td>\n",
+       "      <td>[[11]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[483.33333333 100.         916.66666667]]]]</td>\n",
+       "      <td>[[240.75, 289.85, 874.0833333333334, 1374.0833...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>[[[[[20]], [[150]]]]]</td>\n",
+       "      <td>[[[[[20]], [[330]]]]]</td>\n",
+       "      <td>[[[[[-0.181184 ]\\n [-0.801394 ]\\n [ 0.195122 ]...</td>\n",
+       "      <td>[[6765.6, 6831.4, 7082.3, 7131.4, 7732.3, 8165...</td>\n",
+       "      <td>[[10683.3, 10933.2, 16700.1, 16949.9, 22483.4,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[17367.2, 34925.0, 43618.0, 52361.5, 70237.1,...</td>\n",
+       "      <td>[[6510]]</td>\n",
+       "      <td>[[6566.1], [6599.8], [6601.2], [6601.8], [6603...</td>\n",
+       "      <td>[[0.6659259796142578, 0.6675365567207336, 0.66...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[7552.5, 9526.5, 17052.5, 18525.5, 36552.5, 4...</td>\n",
+       "      <td>[[251.71666666666667, 317.51666666666665, 568....</td>\n",
+       "      <td>[[6720]]</td>\n",
+       "      <td>[[6840]]</td>\n",
+       "      <td>[[20]]</td>\n",
+       "      <td>[[900]]</td>\n",
+       "      <td>[[8]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 383.33333333  100.         1016.66666667]]]]</td>\n",
+       "      <td>[[251.71666666666667, 317.51666666666665]]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>[[[[[25]], [[150]]]]]</td>\n",
+       "      <td>[[[[[25]], [[330]]]]]</td>\n",
+       "      <td>[[[[[-0.0520332]\\n [-1.07805  ]\\n [ 0.517073 ]...</td>\n",
+       "      <td>[[1774.5, 1823.7, 2407.9, 2991.2, 3091.2, 3907...</td>\n",
+       "      <td>[[10891.9, 11142.6, 13958.5, 14209.2, 19908.5,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[17693.2, 77299.9, 94977.9, 100969.4, 106773....</td>\n",
+       "      <td>[[790]]</td>\n",
+       "      <td>[[1443.7], [1941.8], [2023.3], [2025.5], [2141...</td>\n",
+       "      <td>[[-1.6836236715316772, -1.6834264993667603, -1...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[9932.5, 11407.5, 28932.5, 46432.5, 49432.5, ...</td>\n",
+       "      <td>[[331.05, 380.21666666666664, 964.383333333333...</td>\n",
+       "      <td>[[1730]]</td>\n",
+       "      <td>[[3910]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[866]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[583.33333333 100.         816.66666667]]]]</td>\n",
+       "      <td>[[331.05, 380.21666666666664, 964.383333333333...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>[[[[[25]], [[150]]]]]</td>\n",
+       "      <td>[[[[[25]], [[330]]]]]</td>\n",
+       "      <td>[[[[[-0.091057]\\n [-1.31219 ]\\n [ 0.478049]\\n ...</td>\n",
+       "      <td>[[4020.3, 6420.3, 6469.5, 7087.0, 7403.6, 7503...</td>\n",
+       "      <td>[[12970.9, 13221.6, 15837.6, 16088.3, 18804.2,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[4508.6, 19723.8, 25607.2, 49448.5, 73105.2, ...</td>\n",
+       "      <td>[[1790]]</td>\n",
+       "      <td>[[2819.2], [2834.3], [2944.2], [2994.1], [3044...</td>\n",
+       "      <td>[[-0.2701995372772217, -0.2705610692501068, -0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[50379.5, 122379.5, 123854.5, 142379.5, 15187...</td>\n",
+       "      <td>[[1679.2833333333333, 4079.2833333333333, 4128...</td>\n",
+       "      <td>[[3930]]</td>\n",
+       "      <td>[[4510]]</td>\n",
+       "      <td>[[15]]</td>\n",
+       "      <td>[[816]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[650 100 750]]]]</td>\n",
+       "      <td>[[1679.2833333333333]]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>22 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
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+       "1   [[[[[13.46757377]], [[308.20541614]]]]]   \n",
+       "2    [[[[[27.21131657]], [[31.50426672]]]]]   \n",
+       "3    [[[[[16.14765063]], [[51.77837553]]]]]   \n",
+       "4   [[[[[41.19192024]], [[334.57146374]]]]]   \n",
+       "5   [[[[[39.60819312]], [[333.01323701]]]]]   \n",
+       "6   [[[[[18.58280482]], [[272.78354237]]]]]   \n",
+       "7    [[[[[23.7013227]], [[276.53055366]]]]]   \n",
+       "8   [[[[[39.83246832]], [[325.26825101]]]]]   \n",
+       "9   [[[[[43.78690748]], [[346.41209025]]]]]   \n",
+       "10   [[[[[45.6351127]], [[338.16426921]]]]]   \n",
+       "11  [[[[[24.57748618]], [[273.95547045]]]]]   \n",
+       "12  [[[[[41.10757743]], [[325.58195124]]]]]   \n",
+       "13  [[[[[40.31712622]], [[330.30770288]]]]]   \n",
+       "14    [[[[[32.739582]], [[313.38955988]]]]]   \n",
+       "15  [[[[[38.70982585]], [[348.14741901]]]]]   \n",
+       "16  [[[[[14.80999713]], [[302.02946566]]]]]   \n",
+       "17   [[[[[21.31368769]], [[36.31675569]]]]]   \n",
+       "18   [[[[[39.56225862]], [[17.08326241]]]]]   \n",
+       "19                    [[[[[20]], [[150]]]]]   \n",
+       "20                    [[[[[25]], [[150]]]]]   \n",
+       "21                    [[[[[25]], [[150]]]]]   \n",
+       "\n",
+       "                       RightStimulusPosition  \\\n",
+       "0    [[[[[32.80834841]], [[134.13915409]]]]]   \n",
+       "1    [[[[[13.46757377]], [[128.20541614]]]]]   \n",
+       "2   [[[[[27.21131657]], [[-148.49573328]]]]]   \n",
+       "3   [[[[[16.14765063]], [[-128.22162447]]]]]   \n",
+       "4    [[[[[41.19192024]], [[154.57146374]]]]]   \n",
+       "5    [[[[[39.60819312]], [[153.01323701]]]]]   \n",
+       "6     [[[[[18.58280482]], [[92.78354237]]]]]   \n",
+       "7      [[[[[23.7013227]], [[96.53055366]]]]]   \n",
+       "8    [[[[[39.83246832]], [[145.26825101]]]]]   \n",
+       "9    [[[[[43.78690748]], [[166.41209025]]]]]   \n",
+       "10    [[[[[45.6351127]], [[158.16426921]]]]]   \n",
+       "11    [[[[[24.57748618]], [[93.95547045]]]]]   \n",
+       "12   [[[[[41.10757743]], [[145.58195124]]]]]   \n",
+       "13   [[[[[40.31712622]], [[150.30770288]]]]]   \n",
+       "14     [[[[[32.739582]], [[133.38955988]]]]]   \n",
+       "15   [[[[[38.70982585]], [[168.14741901]]]]]   \n",
+       "16   [[[[[14.80999713]], [[122.02946566]]]]]   \n",
+       "17  [[[[[21.31368769]], [[-143.68324431]]]]]   \n",
+       "18  [[[[[39.56225862]], [[-162.91673759]]]]]   \n",
+       "19                     [[[[[20]], [[330]]]]]   \n",
+       "20                     [[[[[25]], [[330]]]]]   \n",
+       "21                     [[[[[25]], [[330]]]]]   \n",
+       "\n",
+       "                                           EyeWindows  \\\n",
+       "0   [[[[[-0.214634 ]\\n [-0.536585 ]\\n [ 0.17561  ]...   \n",
+       "1   [[[[[ 0.0882702]\\n [-1.40488  ]\\n [ 0.478514 ]...   \n",
+       "2   [[[[[-0.145528]\\n [-0.880778]\\n [ 0.247967]\\n ...   \n",
+       "3   [[[[[-0.127235 ]\\n [-0.997852 ]\\n [ 0.26626  ]...   \n",
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+       "5   [[[[[ 0.108944]\\n [-0.905283]\\n [ 0.414634]\\n ...   \n",
+       "6   [[[[[-0.0536573]\\n [-0.933335 ]\\n [ 0.252033 ]...   \n",
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+       "11  [[[[[-0.292683]\\n [-1.07317 ]\\n [ 0.172474]\\n ...   \n",
+       "12  [[[[[-0.195122]\\n [-0.968641]\\n [ 0.270035]\\n ...   \n",
+       "13  [[[[[-0.0476186]\\n [-0.739838 ]\\n [ 0.325204 ]...   \n",
+       "14  [[[[[-0.137049 ]\\n [-1.66667  ]\\n [ 0.300813 ]...   \n",
+       "15  [[[[[-0.129792 ]\\n [-0.756679 ]\\n [ 0.264518 ]...   \n",
+       "16  [[[[[ 0.0487805]\\n [-0.735773 ]\\n [ 0.501452 ]...   \n",
+       "17  [[[[[-0.195122]\\n [-0.595122]\\n [ 0.331707]\\n ...   \n",
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+       "21  [[[[[-0.091057]\\n [-1.31219 ]\\n [ 0.478049]\\n ...   \n",
+       "\n",
+       "                                          PhotoEvents  \\\n",
+       "0   [[1545.7, 1595.5, 2212.8, 2677.1, 2777.1, 3711...   \n",
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+       "2   [[1184.6, 1234.3, 1852.0, 2185.2, 2285.3, 3353...   \n",
+       "3   [[6017.7, 6066.6, 6701.8, 6750.7, 7369.1, 7969...   \n",
+       "4   [[1464.5, 1514.2, 2128.6, 2745.9, 2846.0, 3630...   \n",
+       "5   [[4230.9, 4998.8, 6014.2, 6063.2, 7030.9, 7079...   \n",
+       "6   [[1946.3, 1995.3, 2579.6, 3312.9, 3362.0, 3979...   \n",
+       "7   [[2489.7, 2538.8, 3123.0, 3806.4, 3855.4, 4456...   \n",
+       "8   [[22896.2, 22945.2, 23546.2, 23946.1, 24046.1,...   \n",
+       "9   [[3746.7, 3795.8, 4380.1, 4863.4, 4980.1, 5880...   \n",
+       "10  [[1332.1, 1381.2, 1982.1, 2315.5, 2415.5, 3165...   \n",
+       "11  [[28504.4, 28553.5, 28771.1, 28820.2, 29437.8,...   \n",
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+       "13  [[14453.9, 14503.0, 15103.9, 15803.9, 15903.9,...   \n",
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+       "18  [[2693.9, 2743.0, 3327.3, 3827.3, 3927.2, 4843...   \n",
+       "19  [[6765.6, 6831.4, 7082.3, 7131.4, 7732.3, 8165...   \n",
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+       "21  [[4020.3, 6420.3, 6469.5, 7087.0, 7403.6, 7503...   \n",
+       "\n",
+       "                                           StimEvents  \\\n",
+       "0   [[176803.3, 177052.9, 182542.4, 182792.0, 1883...   \n",
+       "1   [[15796.2, 16046.5, 24705.2, 24955.5, 27758.2,...   \n",
+       "2                                                  []   \n",
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+       "6                                                  []   \n",
+       "7                                                  []   \n",
+       "8                                                  []   \n",
+       "9                                                  []   \n",
+       "10                                                 []   \n",
+       "11                                                 []   \n",
+       "12                                                 []   \n",
+       "13                                                 []   \n",
+       "14                                                 []   \n",
+       "15                                                 []   \n",
+       "16                                                 []   \n",
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+       "\n",
+       "                                                 Key0  \\\n",
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+       "3   [[6466.6, 495471.5, 532818.9, 1073571.9, 13918...   \n",
+       "4   [[430577.8, 435351.5, 436091.7, 705504.0, 1110...   \n",
+       "5                                                  []   \n",
+       "6                                                  []   \n",
+       "7                                                  []   \n",
+       "8                                                  []   \n",
+       "9                                                  []   \n",
+       "10      [[378453.6, 2305193.8, 2310267.3, 2322550.6]]   \n",
+       "11  [[61331.0, 305667.8, 1088082.6, 2213872.8, 235...   \n",
+       "12  [[93531.9, 95639.6, 172179.0, 193812.6, 267732...   \n",
+       "13                                                 []   \n",
+       "14                                                 []   \n",
+       "15                                                 []   \n",
+       "16                                                 []   \n",
+       "17                                                 []   \n",
+       "18                                                 []   \n",
+       "19                                                 []   \n",
+       "20                                                 []   \n",
+       "21                                                 []   \n",
+       "\n",
+       "                                                 Key1  dataStart  \\\n",
+       "0   [[12113.9, 17002.0, 21667.3, 27552.4, 56411.8,...    [[770]]   \n",
+       "1   [[11864.1, 19415.9, 31670.0, 37606.1, 96241.3,...   [[9670]]   \n",
+       "2   [[33017.1, 49572.9, 69973.1, 71299.2, 85777.0,...    [[770]]   \n",
+       "3   [[14319.7, 29082.0, 40853.1, 49555.5, 58301.3,...   [[4260]]   \n",
+       "4   [[18107.1, 50904.6, 54633.7, 85868.2, 93871.8,...    [[770]]   \n",
+       "5   [[6488.4, 14503.8, 29146.2, 41117.2, 50406.5, ...   [[3840]]   \n",
+       "6   [[12600.4, 18391.8, 33194.1, 39229.3, 47893.1,...   [[1570]]   \n",
+       "7   [[5408.7, 13722.1, 37400.4, 46590.5, 67556.6, ...   [[1950]]   \n",
+       "8   [[60539.5, 91433.3, 116782.3, 122933.2, 132126...  [[15210]]   \n",
+       "9   [[5317.2, 8436.1, 17069.9, 22138.1, 38436.2, 5...   [[3400]]   \n",
+       "10  [[61370.6, 67250.8, 78375.6, 84428.3, 93255.9,...    [[770]]   \n",
+       "11  [[47524.5, 60023.3, 69113.4, 78056.5, 95006.6,...  [[28230]]   \n",
+       "12  [[22605.2, 37107.9, 45934.1, 61323.1, 91789.9,...    [[770]]   \n",
+       "13  [[42335.3, 48350.9, 64971.2, 82607.5, 88762.3,...  [[14190]]   \n",
+       "14  [[3006.2, 10771.6, 45499.9, 54310.5, 68063.1, ...    [[760]]   \n",
+       "15  [[40977.3, 80293.5, 93778.6, 106059.3, 111991....    [[770]]   \n",
+       "16  [[16174.2, 19457.1, 34367.3, 40328.4, 49476.1,...   [[8380]]   \n",
+       "17  [[17676.9, 38793.2, 44465.6, 89612.7, 95335.5,...   [[6640]]   \n",
+       "18  [[64502.7, 82324.7, 91052.5, 105071.0, 145872....   [[2450]]   \n",
+       "19  [[17367.2, 34925.0, 43618.0, 52361.5, 70237.1,...   [[6510]]   \n",
+       "20  [[17693.2, 77299.9, 94977.9, 100969.4, 106773....    [[790]]   \n",
+       "21  [[4508.6, 19723.8, 25607.2, 49448.5, 73105.2, ...   [[1790]]   \n",
+       "\n",
+       "                                               spikes  \\\n",
+       "0   [[828.4], [922.0], [954.3], [984.7], [1040.0],...   \n",
+       "1   [[9675.3], [9796.1], [10073.1], [10075.7], [10...   \n",
+       "2   [[774.3], [1051.6], [1057.8], [1107.5], [1110....   \n",
+       "3   [[6561.5], [6711.2], [6718.2], [6773.8], [6778...   \n",
+       "4   [[3296.8], [3812.3], [3824.6], [3836.3], [3960...   \n",
+       "5   [[5359.6], [5418.3], [5480.0], [5491.0], [5508...   \n",
+       "6   [[2535.3], [2558.6], [2560.8], [2575.8], [2633...   \n",
+       "7   [[3513.8], [3528.8], [3529.3], [3572.2], [3578...   \n",
+       "8   [[17139.5], [17152.7], [17168.0], [17224.4], [...   \n",
+       "9   [[7047.7], [7052.1], [7077.5], [7081.3], [7123...   \n",
+       "10  [[1362.6], [1516.7], [1526.9], [1609.6], [1639...   \n",
+       "11  [[20734.7], [20755.5], [20879.5], [20883.2], [...   \n",
+       "12  [[1741.2], [1901.0], [2007.8], [2490.7], [2501...   \n",
+       "13  [[15792.6], [15819.2], [15821.6], [16266.9], [...   \n",
+       "14  [[2602.5], [2659.3], [2763.7], [2814.5], [2879...   \n",
+       "15  [[784.8], [800.2], [1389.9], [1705.3], [1753.8...   \n",
+       "16  [[9057.6], [9119.8], [9258.7], [9266.5], [9313...   \n",
+       "17  [[6813.9], [6865.2], [7610.8], [7664.9], [7687...   \n",
+       "18  [[2454.9], [2462.3], [2593.7], [2701.6], [2775...   \n",
+       "19  [[6566.1], [6599.8], [6601.2], [6601.8], [6603...   \n",
+       "20  [[1443.7], [1941.8], [2023.3], [2025.5], [2141...   \n",
+       "21  [[2819.2], [2834.3], [2944.2], [2994.1], [3044...   \n",
+       "\n",
+       "                                               analog  ...  \\\n",
+       "0   [[-0.2835116982460022, -0.2764776349067688, -0...  ...   \n",
+       "1   [[0.5390381813049316, 0.5391367673873901, 0.53...  ...   \n",
+       "2   [[-1.309370756149292, -1.310192584991455, -1.3...  ...   \n",
+       "3   [[0.07552260905504227, 0.0755554735660553, 0.0...  ...   \n",
+       "4   [[0.1333073228597641, 0.13327443599700928, 0.1...  ...   \n",
+       "5   [[0.9873576164245605, 0.9870945811271667, 0.98...  ...   \n",
+       "6   [[-0.22388632595539093, -0.22069796919822693, ...  ...   \n",
+       "7   [[-0.3846185505390167, -0.3863277733325958, -0...  ...   \n",
+       "8   [[1.7240965366363525, 1.724129319190979, 1.724...  ...   \n",
+       "9   [[0.6189881563186646, 0.6189553141593933, 0.61...  ...   \n",
+       "10  [[-1.6286327838897705, -1.628369927406311, -1....  ...   \n",
+       "11  [[1.7641315460205078, 1.7724475860595703, 1.77...  ...   \n",
+       "12  [[-0.015624726191163063, -0.014572898857295513...  ...   \n",
+       "13  [[-0.23433884978294373, -0.23696839809417725, ...  ...   \n",
+       "14  [[5.406066702562384e-05, 8.693039126228541e-05...  ...   \n",
+       "15  [[1.0065864324569702, 1.0065864324569702, 1.00...  ...   \n",
+       "16  [[0.23352663218975067, 0.23365812003612518, 0....  ...   \n",
+       "17  [[-0.026110121980309486, -0.02689899131655693,...  ...   \n",
+       "18  [[-0.056152909994125366, -0.055824220180511475...  ...   \n",
+       "19  [[0.6659259796142578, 0.6675365567207336, 0.66...  ...   \n",
+       "20  [[-1.6836236715316772, -1.6834264993667603, -1...  ...   \n",
+       "21  [[-0.2701995372772217, -0.2705610692501068, -0...  ...   \n",
+       "\n",
+       "                                       photoEventsRhd  \\\n",
+       "0   [[7642.5, 8139.5, 14312.5, 18955.5, 19956.5, 2...   \n",
+       "1   [[5653.5, 6141.5, 12159.5, 17165.5, 19167.5, 1...   \n",
+       "2   [[4107.5, 4604.5, 10781.5, 14114.5, 15114.5, 2...   \n",
+       "3   [[17547.5, 18036.5, 24387.5, 24876.5, 31061.5,...   \n",
+       "4   [[6904.5, 7401.5, 13545.5, 19718.5, 20719.5, 2...   \n",
+       "5   [[3826.5, 11505.5, 21659.5, 22149.5, 31826.5, ...   \n",
+       "6   [[3729.5, 4220.5, 10062.5, 17396.5, 17886.5, 2...   \n",
+       "7   [[5358.5, 5849.5, 11691.5, 18525.5, 19015.5, 2...   \n",
+       "8   [[76807.5, 77298.5, 83307.5, 87307.5, 88307.5,...   \n",
+       "9   [[3421.5, 3911.5, 9754.5, 14588.5, 15754.5, 24...   \n",
+       "10  [[5594.5, 6084.5, 12093.5, 15427.5, 16427.5, 2...   \n",
+       "11  [[2709.5, 3199.5, 5375.5, 5866.5, 12042.5, 163...   \n",
+       "12  [[2531.5, 3021.5, 8865.5, 14865.5, 15865.5, 23...   \n",
+       "13  [[2604.5, 3094.5, 9104.5, 16104.5, 17104.5, 24...   \n",
+       "14  [[43102.5, 44082.5, 57769.5, 58749.5, 70769.5,...   \n",
+       "15  [[6440.5, 7420.5, 19106.5, 28773.5, 30773.5, 4...   \n",
+       "16  [[5703.5, 6684.5, 19036.5, 31370.5, 33370.5, 4...   \n",
+       "17  [[5361.5, 6343.5, 18361.5, 29028.5, 31028.5, 4...   \n",
+       "18  [[7223.5, 8696.5, 26223.5, 41223.5, 44223.5, 7...   \n",
+       "19  [[7552.5, 9526.5, 17052.5, 18525.5, 36552.5, 4...   \n",
+       "20  [[9932.5, 11407.5, 28932.5, 46432.5, 49432.5, ...   \n",
+       "21  [[50379.5, 122379.5, 123854.5, 142379.5, 15187...   \n",
+       "\n",
+       "                                   photoEventsRhdMSec      Start       Stop  \\\n",
+       "0   [[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...   [[1480]]   [[3720]]   \n",
+       "1   [[565.25, 614.05, 1215.85, 1716.45, 1916.65, 1...  [[10180]]  [[11390]]   \n",
+       "2   [[410.65, 460.35, 1078.05, 1411.35, 1511.35, 2...   [[1120]]   [[3360]]   \n",
+       "3   [[1754.65, 1803.55, 2438.65, 2487.55, 3106.05,...   [[5960]]   [[6470]]   \n",
+       "4   [[690.35, 740.05, 1354.45, 1971.75, 2071.85, 2...   [[1400]]   [[3640]]   \n",
+       "5   [[382.55, 1150.45, 2165.85, 2214.85, 3182.55, ...   [[4140]]   [[4720]]   \n",
+       "6   [[372.85, 421.95, 1006.15, 1739.55, 1788.55, 2...   [[1900]]   [[3090]]   \n",
+       "7   [[535.75, 584.85, 1169.05, 1852.45, 1901.45, 2...   [[2450]]   [[3200]]   \n",
+       "8   [[7680.65, 7729.75, 8330.65, 8730.65, 8830.65,...  [[22840]]  [[25050]]   \n",
+       "9   [[342.05, 391.05, 975.35, 1458.75, 1575.35, 24...   [[3690]]   [[6470]]   \n",
+       "10  [[559.35, 608.35, 1209.25, 1542.65, 1642.65, 2...   [[1290]]   [[2940]]   \n",
+       "11  [[270.85, 319.85, 537.45, 586.55, 1204.15, 163...  [[28450]]  [[28530]]   \n",
+       "12  [[253.05, 302.05, 886.45, 1486.45, 1586.45, 23...    [[980]]   [[3170]]   \n",
+       "13  [[260.35, 309.35, 910.35, 1610.35, 1710.35, 24...  [[14400]]  [[16610]]   \n",
+       "14  [[2155.075, 2204.075, 2888.425, 2937.425, 3538...   [[2880]]   [[3010]]   \n",
+       "15  [[321.975, 370.975, 955.275, 1438.625, 1538.62...   [[1050]]   [[3230]]   \n",
+       "16  [[285.125, 334.175, 951.775, 1568.475, 1668.47...   [[8610]]  [[10840]]   \n",
+       "17  [[268.025, 317.125, 918.025, 1451.375, 1551.37...   [[6860]]   [[9070]]   \n",
+       "18  [[240.75, 289.85, 874.0833333333334, 1374.0833...   [[2650]]   [[4850]]   \n",
+       "19  [[251.71666666666667, 317.51666666666665, 568....   [[6720]]   [[6840]]   \n",
+       "20  [[331.05, 380.21666666666664, 964.383333333333...   [[1730]]   [[3910]]   \n",
+       "21  [[1679.2833333333333, 4079.2833333333333, 4128...   [[3930]]   [[4510]]   \n",
+       "\n",
+       "    Answer InterTrialInterval Condition ResponseTrial  \\\n",
+       "0    [[1]]            [[800]]     [[9]]         [[0]]   \n",
+       "1    [[4]]            [[667]]     [[0]]         [[1]]   \n",
+       "2    [[1]]            [[850]]    [[10]]         [[0]]   \n",
+       "3    [[3]]            [[650]]     [[6]]         [[0]]   \n",
+       "4    [[1]]            [[934]]     [[9]]         [[0]]   \n",
+       "5   [[15]]            [[733]]     [[6]]         [[0]]   \n",
+       "6    [[4]]            [[833]]    [[10]]         [[0]]   \n",
+       "7    [[4]]            [[750]]     [[9]]         [[0]]   \n",
+       "8    [[1]]            [[616]]     [[8]]         [[0]]   \n",
+       "9   [[17]]            [[683]]     [[5]]         [[1]]   \n",
+       "10   [[6]]            [[833]]     [[5]]         [[1]]   \n",
+       "11   [[4]]            [[833]]     [[9]]         [[0]]   \n",
+       "12   [[1]]            [[750]]     [[3]]         [[0]]   \n",
+       "13   [[1]]            [[883]]    [[10]]         [[0]]   \n",
+       "14   [[3]]            [[916]]     [[9]]         [[0]]   \n",
+       "15   [[1]]            [[816]]     [[8]]         [[0]]   \n",
+       "16   [[1]]            [[950]]    [[10]]         [[0]]   \n",
+       "17   [[1]]            [[916]]     [[9]]         [[0]]   \n",
+       "18  [[17]]            [[683]]    [[11]]         [[0]]   \n",
+       "19  [[20]]            [[900]]     [[8]]         [[0]]   \n",
+       "20   [[1]]            [[866]]     [[9]]         [[0]]   \n",
+       "21  [[15]]            [[816]]    [[10]]         [[0]]   \n",
+       "\n",
+       "                                          TrialTiming  \\\n",
+       "0      [[[[467.13333333 100.1        934.26666667]]]]   \n",
+       "1                           [[[[500.5 100.1 900.9]]]]   \n",
+       "2   [[[[ 333.66666667  100.1        1067.73333333]]]]   \n",
+       "3   [[[[ 367.03333333  100.1        1034.36666667]]]]   \n",
+       "4      [[[[617.28333333 100.1        784.11666667]]]]   \n",
+       "5                                 [[[[550 100 850]]]]   \n",
+       "6                                 [[[[650 100 750]]]]   \n",
+       "7      [[[[533.33333333 100.         866.66666667]]]]   \n",
+       "8                              [[[[ 400  100 1000]]]]   \n",
+       "9      [[[[483.33333333 100.         916.66666667]]]]   \n",
+       "10  [[[[ 333.33333333  100.         1066.66666667]]]]   \n",
+       "11     [[[[533.33333333 100.         866.66666667]]]]   \n",
+       "12                                [[[[600 100 800]]]]   \n",
+       "13                                [[[[700 100 700]]]]   \n",
+       "14     [[[[466.66666667 100.         933.33333333]]]]   \n",
+       "15     [[[[483.33333333 100.         916.66666667]]]]   \n",
+       "16     [[[[616.66666667 100.         783.33333333]]]]   \n",
+       "17     [[[[533.33333333 100.         866.66666667]]]]   \n",
+       "18     [[[[483.33333333 100.         916.66666667]]]]   \n",
+       "19  [[[[ 383.33333333  100.         1016.66666667]]]]   \n",
+       "20     [[[[583.33333333 100.         816.66666667]]]]   \n",
+       "21                                [[[[650 100 750]]]]   \n",
+       "\n",
+       "                                       PhotoEventsRHD  \n",
+       "0   [[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...  \n",
+       "1                         [[565.25, 614.05, 1215.85]]  \n",
+       "2   [[410.65, 460.35, 1078.05, 1411.35, 1511.35, 2...  \n",
+       "3                                [[1754.65, 1803.55]]  \n",
+       "4   [[690.35, 740.05, 1354.45, 1971.75, 2071.85, 2...  \n",
+       "5                                          [[382.55]]  \n",
+       "6                         [[372.85, 421.95, 1006.15]]  \n",
+       "7                         [[535.75, 584.85, 1169.05]]  \n",
+       "8   [[7680.65, 7729.75, 8330.65, 8730.65, 8830.65,...  \n",
+       "9   [[342.05, 391.05, 975.35, 1458.75, 1575.35, 24...  \n",
+       "10      [[559.35, 608.35, 1209.25, 1542.65, 1642.65]]  \n",
+       "11                                         [[270.85]]  \n",
+       "12  [[253.05, 302.05, 886.45, 1486.45, 1586.45, 23...  \n",
+       "13  [[260.35, 309.35, 910.35, 1610.35, 1710.35, 24...  \n",
+       "14                             [[2155.075, 2204.075]]  \n",
+       "15  [[321.975, 370.975, 955.275, 1438.625, 1538.62...  \n",
+       "16  [[285.125, 334.175, 951.775, 1568.475, 1668.47...  \n",
+       "17  [[268.025, 317.125, 918.025, 1451.375, 1551.37...  \n",
+       "18  [[240.75, 289.85, 874.0833333333334, 1374.0833...  \n",
+       "19         [[251.71666666666667, 317.51666666666665]]  \n",
+       "20  [[331.05, 380.21666666666664, 964.383333333333...  \n",
+       "21                             [[1679.2833333333333]]  \n",
+       "\n",
+       "[22 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "# THIS CELL IS ABOUT GLUING MULTIPLE SESSIONS TOGETHER TO CREATE AN ACTUAL USEFUL(ish) TABLE.\n",
+    "# I shouldn't need to rerun this very often, thanfully. I just need to merge it all, and explore.\n",
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "\n",
+    "full_data = None\n",
+    "\n",
+    "filepath_list = ['hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180129_1818_G.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180130_1540_G.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180214_1740_B.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180215_1647_D.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180216_1346_H.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180226_1444_A.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180305_1526_D.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180305_1607_E.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180305_1704_F.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180305_1749_G.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180306_1444_C.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180306_1606_A.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180306_1743_B.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180307_1425_A.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180307_1558_B.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180308_1539_A.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180308_1715_B.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180417_1822_B.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180418_1440_A.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180418_1653_B.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180423_1744_D.mat',\n",
+    "                 'hbp-d000034_AttentionNetworksInMonkeys_pub/behavior/sub-xx_20180423_1911_E.mat'\n",
+    "                 ]\n",
+    "\n",
+    "for filepath in filepath_list:\n",
+    "    debug_print(\"Reading file: \" + filepath)\n",
+    "    file = loadmat(filepath)\n",
+    "    the_important_stuff = file['data']\n",
+    "    \n",
+    "    debug_print(\"Splitting file...\")\n",
+    "    data_1 = the_important_stuff[:,0]\n",
+    "    data_2 = the_important_stuff[:,1]\n",
+    "    \n",
+    "    debug_print(\"Converting file in data...\")\n",
+    "    df_1 = pd.DataFrame(data_1[0][0])\n",
+    "    df_1.drop(labels=[\"RewardSchedule\", \"NmrPulsesConfig\", \"NmrPulses\", \"PhotoEventsConfig\", \"StimEventsConfig\", \"Key2\", \"Key3\", \"daqSampleRate\", \"analogInId\", \"digitalInId\", \"digitalOutId\", \"sourceDir\", \"presenter\", \"stimuliPerPhotoEvent\", \"analogSampleRate\", \"digitalSampleRate\"], inplace=True, axis=1)\n",
+    "    # Only some of the tables have this analogOutID column, and either way, it's entirely useless. It does make me have to put this single drop statement in its own separate line, which is annoying.\n",
+    "    # If I had more time, I'd try to coax the \"presenter\" and \"stimuli per photo event\" variables out of their horrendous formatting, but it's not worth it. \n",
+    "    if \"analogOutId\" in df_1:\n",
+    "        df_1.drop(labels=[\"analogOutId\"], inplace=True, axis=1)\n",
+    "    \n",
+    "    debug_print(\"Converting other file into data...\")\n",
+    "    df_2 = pd.DataFrame(data_2[0][0])\n",
+    "    df_2.drop(labels=[\"Stimulation\", \"StimulationPower\", \"NmrPulses\", \"StimEvents\", \"Key2\", \"Key3\", \"Event\", \"Histogram\", \"PhotoEvents\", \"Key0\", \"Key1\", \"spikes\"], inplace=True, axis=1)\n",
+    "    # Event and Histogram might have important data in them, but I don't know how to process them.\n",
+    "    # PhotoEvents, Key0, Key1, and spikes are dupe columns\n",
+    "    \n",
+    "    df_full = pd.concat([df_1, df_2], axis=1)\n",
+    "    \n",
+    "    debug_print(\"Merging data...\")\n",
+    "    full_data = pd.concat([full_data, df_full], ignore_index=True, axis=0)\n",
+    "    \n",
+    "print(\"Done!\")\n",
+    "full_data\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "b0390827",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "32.80834840685461 314.1391540872435\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>LeftStimulusPosition</th>\n",
+       "      <th>RightStimulusPosition</th>\n",
+       "      <th>EyeWindows</th>\n",
+       "      <th>PhotoEvents</th>\n",
+       "      <th>StimEvents</th>\n",
+       "      <th>Key0</th>\n",
+       "      <th>Key1</th>\n",
+       "      <th>dataStart</th>\n",
+       "      <th>spikes</th>\n",
+       "      <th>analog</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>Stop</th>\n",
+       "      <th>Answer</th>\n",
+       "      <th>InterTrialInterval</th>\n",
+       "      <th>Condition</th>\n",
+       "      <th>ResponseTrial</th>\n",
+       "      <th>TrialTiming</th>\n",
+       "      <th>spikes</th>\n",
+       "      <th>PhotoEventsRHD</th>\n",
+       "      <th>LeftStimPos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[[[[[32.80834841]], [[314.13915409]]]]]</td>\n",
+       "      <td>[[[[[32.80834841]], [[134.13915409]]]]]</td>\n",
+       "      <td>[[[[[-0.214634 ]\\n [-0.536585 ]\\n [ 0.17561  ]...</td>\n",
+       "      <td>[[1545.7, 1595.5, 2212.8, 2677.1, 2777.1, 3711...</td>\n",
+       "      <td>[[176803.3, 177052.9, 182542.4, 182792.0, 1883...</td>\n",
+       "      <td>[[91575.8, 258175.6, 386316.3, 388639.5, 53569...</td>\n",
+       "      <td>[[12113.9, 17002.0, 21667.3, 27552.4, 56411.8,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[828.4], [922.0], [954.3], [984.7], [1040.0],...</td>\n",
+       "      <td>[[-0.2835116982460022, -0.2764776349067688, -0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1480]]</td>\n",
+       "      <td>[[3720]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[800]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[467.13333333 100.1        934.26666667]]]]</td>\n",
+       "      <td>[[1499.2], [1525.3], [1534.0], [1543.3], [1551...</td>\n",
+       "      <td>[[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[[[[[13.46757377]], [[308.20541614]]]]]</td>\n",
+       "      <td>[[[[[13.46757377]], [[128.20541614]]]]]</td>\n",
+       "      <td>[[[[[ 0.0882702]\\n [-1.40488  ]\\n [ 0.478514 ]...</td>\n",
+       "      <td>[[10239.8, 10288.6, 10890.4, 11390.9, 11591.1,...</td>\n",
+       "      <td>[[15796.2, 16046.5, 24705.2, 24955.5, 27758.2,...</td>\n",
+       "      <td>[[289559.0, 466222.6, 467862.5, 470716.4, 1750...</td>\n",
+       "      <td>[[11864.1, 19415.9, 31670.0, 37606.1, 96241.3,...</td>\n",
+       "      <td>[[9670]]</td>\n",
+       "      <td>[[9675.3], [9796.1], [10073.1], [10075.7], [10...</td>\n",
+       "      <td>[[0.5390381813049316, 0.5391367673873901, 0.53...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[10180]]</td>\n",
+       "      <td>[[11390]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[667]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[[[500.5 100.1 900.9]]]]</td>\n",
+       "      <td>[[10229.0], [10269.4], [10346.3], [10372.7], [...</td>\n",
+       "      <td>[[565.25, 614.05, 1215.85]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[[[[[27.21131657]], [[31.50426672]]]]]</td>\n",
+       "      <td>[[[[[27.21131657]], [[-148.49573328]]]]]</td>\n",
+       "      <td>[[[[[-0.145528]\\n [-0.880778]\\n [ 0.247967]\\n ...</td>\n",
+       "      <td>[[1184.6, 1234.3, 1852.0, 2185.2, 2285.3, 3353...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[266555.2, 461743.7, 463431.6, 463844.6, 1078...</td>\n",
+       "      <td>[[33017.1, 49572.9, 69973.1, 71299.2, 85777.0,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[774.3], [1051.6], [1057.8], [1107.5], [1110....</td>\n",
+       "      <td>[[-1.309370756149292, -1.310192584991455, -1.3...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1120]]</td>\n",
+       "      <td>[[3360]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[850]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 333.66666667  100.1        1067.73333333]]]]</td>\n",
+       "      <td>[[1120.9], [1163.6], [1585.4], [2108.3], [2153...</td>\n",
+       "      <td>[[410.65, 460.35, 1078.05, 1411.35, 1511.35, 2...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[[[[[16.14765063]], [[51.77837553]]]]]</td>\n",
+       "      <td>[[[[[16.14765063]], [[-128.22162447]]]]]</td>\n",
+       "      <td>[[[[[-0.127235 ]\\n [-0.997852 ]\\n [ 0.26626  ]...</td>\n",
+       "      <td>[[6017.7, 6066.6, 6701.8, 6750.7, 7369.1, 7969...</td>\n",
+       "      <td>[[13208.9, 13459.7, 24970.8, 25221.6, 36982.9,...</td>\n",
+       "      <td>[[6466.6, 495471.5, 532818.9, 1073571.9, 13918...</td>\n",
+       "      <td>[[14319.7, 29082.0, 40853.1, 49555.5, 58301.3,...</td>\n",
+       "      <td>[[4260]]</td>\n",
+       "      <td>[[6561.5], [6711.2], [6718.2], [6773.8], [6778...</td>\n",
+       "      <td>[[0.07552260905504227, 0.0755554735660553, 0.0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[5960]]</td>\n",
+       "      <td>[[6470]]</td>\n",
+       "      <td>[[3]]</td>\n",
+       "      <td>[[650]]</td>\n",
+       "      <td>[[6]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 367.03333333  100.1        1034.36666667]]]]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[1754.65, 1803.55]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[[[[[41.19192024]], [[334.57146374]]]]]</td>\n",
+       "      <td>[[[[[41.19192024]], [[154.57146374]]]]]</td>\n",
+       "      <td>[[[[[-0.0491876]\\n [-0.965332 ]\\n [ 0.268293 ]...</td>\n",
+       "      <td>[[1464.5, 1514.2, 2128.6, 2745.9, 2846.0, 3630...</td>\n",
+       "      <td>[[23200.7, 23451.1, 26337.1, 26587.5, 49610.6,...</td>\n",
+       "      <td>[[430577.8, 435351.5, 436091.7, 705504.0, 1110...</td>\n",
+       "      <td>[[18107.1, 50904.6, 54633.7, 85868.2, 93871.8,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[3296.8], [3812.3], [3824.6], [3836.3], [3960...</td>\n",
+       "      <td>[[0.1333073228597641, 0.13327443599700928, 0.1...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1400]]</td>\n",
+       "      <td>[[3640]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[934]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[617.28333333 100.1        784.11666667]]]]</td>\n",
+       "      <td>[[3296.8]]</td>\n",
+       "      <td>[[690.35, 740.05, 1354.45, 1971.75, 2071.85, 2...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>[[[[[39.60819312]], [[333.01323701]]]]]</td>\n",
+       "      <td>[[[[[39.60819312]], [[153.01323701]]]]]</td>\n",
+       "      <td>[[[[[ 0.108944]\\n [-0.905283]\\n [ 0.414634]\\n ...</td>\n",
+       "      <td>[[4230.9, 4998.8, 6014.2, 6063.2, 7030.9, 7079...</td>\n",
+       "      <td>[[13664.9, 13915.6, 25314.8, 25565.5, 37348.1,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[6488.4, 14503.8, 29146.2, 41117.2, 50406.5, ...</td>\n",
+       "      <td>[[3840]]</td>\n",
+       "      <td>[[5359.6], [5418.3], [5480.0], [5491.0], [5508...</td>\n",
+       "      <td>[[0.9873576164245605, 0.9870945811271667, 0.98...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[4140]]</td>\n",
+       "      <td>[[4720]]</td>\n",
+       "      <td>[[15]]</td>\n",
+       "      <td>[[733]]</td>\n",
+       "      <td>[[6]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[550 100 850]]]]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[382.55]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>[[[[[18.58280482]], [[272.78354237]]]]]</td>\n",
+       "      <td>[[[[[18.58280482]], [[92.78354237]]]]]</td>\n",
+       "      <td>[[[[[-0.0536573]\\n [-0.933335 ]\\n [ 0.252033 ]...</td>\n",
+       "      <td>[[1946.3, 1995.3, 2579.6, 3312.9, 3362.0, 3979...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[12600.4, 18391.8, 33194.1, 39229.3, 47893.1,...</td>\n",
+       "      <td>[[1570]]</td>\n",
+       "      <td>[[2535.3], [2558.6], [2560.8], [2575.8], [2633...</td>\n",
+       "      <td>[[-0.22388632595539093, -0.22069796919822693, ...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1900]]</td>\n",
+       "      <td>[[3090]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[833]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[650 100 750]]]]</td>\n",
+       "      <td>[[2535.3], [2558.6], [2560.8], [2575.8], [2633...</td>\n",
+       "      <td>[[372.85, 421.95, 1006.15]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>[[[[[23.7013227]], [[276.53055366]]]]]</td>\n",
+       "      <td>[[[[[23.7013227]], [[96.53055366]]]]]</td>\n",
+       "      <td>[[[[[-0.045527]\\n [-0.925206]\\n [ 0.260162]\\n ...</td>\n",
+       "      <td>[[2489.7, 2538.8, 3123.0, 3806.4, 3855.4, 4456...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[5408.7, 13722.1, 37400.4, 46590.5, 67556.6, ...</td>\n",
+       "      <td>[[1950]]</td>\n",
+       "      <td>[[3513.8], [3528.8], [3529.3], [3572.2], [3578...</td>\n",
+       "      <td>[[-0.3846185505390167, -0.3863277733325958, -0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[2450]]</td>\n",
+       "      <td>[[3200]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[750]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[533.33333333 100.         866.66666667]]]]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[535.75, 584.85, 1169.05]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>[[[[[39.83246832]], [[325.26825101]]]]]</td>\n",
+       "      <td>[[[[[39.83246832]], [[145.26825101]]]]]</td>\n",
+       "      <td>[[[[[-0.0699173]\\n [-1.0309   ]\\n [ 0.235772 ]...</td>\n",
+       "      <td>[[22896.2, 22945.2, 23546.2, 23946.1, 24046.1,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[60539.5, 91433.3, 116782.3, 122933.2, 132126...</td>\n",
+       "      <td>[[15210]]</td>\n",
+       "      <td>[[17139.5], [17152.7], [17168.0], [17224.4], [...</td>\n",
+       "      <td>[[1.7240965366363525, 1.724129319190979, 1.724...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[22840]]</td>\n",
+       "      <td>[[25050]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[616]]</td>\n",
+       "      <td>[[8]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 400  100 1000]]]]</td>\n",
+       "      <td>[[22877.3], [22884.5], [22895.0], [22902.7], [...</td>\n",
+       "      <td>[[7680.65, 7729.75, 8330.65, 8730.65, 8830.65,...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>[[[[[43.78690748]], [[346.41209025]]]]]</td>\n",
+       "      <td>[[[[[43.78690748]], [[166.41209025]]]]]</td>\n",
+       "      <td>[[[[[ 0.369107]\\n [-0.177238]\\n [ 0.674797]\\n ...</td>\n",
+       "      <td>[[3746.7, 3795.8, 4380.1, 4863.4, 4980.1, 5880...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[5317.2, 8436.1, 17069.9, 22138.1, 38436.2, 5...</td>\n",
+       "      <td>[[3400]]</td>\n",
+       "      <td>[[7047.7], [7052.1], [7077.5], [7081.3], [7123...</td>\n",
+       "      <td>[[0.6189881563186646, 0.6189553141593933, 0.61...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[3690]]</td>\n",
+       "      <td>[[6470]]</td>\n",
+       "      <td>[[17]]</td>\n",
+       "      <td>[[683]]</td>\n",
+       "      <td>[[5]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[[[483.33333333 100.         916.66666667]]]]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[342.05, 391.05, 975.35, 1458.75, 1575.35, 24...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>[[[[[45.6351127]], [[338.16426921]]]]]</td>\n",
+       "      <td>[[[[[45.6351127]], [[158.16426921]]]]]</td>\n",
+       "      <td>[[[[[-0.104529]\\n [-0.954704]\\n [ 0.200349]\\n ...</td>\n",
+       "      <td>[[1332.1, 1381.2, 1982.1, 2315.5, 2415.5, 3165...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[378453.6, 2305193.8, 2310267.3, 2322550.6]]</td>\n",
+       "      <td>[[61370.6, 67250.8, 78375.6, 84428.3, 93255.9,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[1362.6], [1516.7], [1526.9], [1609.6], [1639...</td>\n",
+       "      <td>[[-1.6286327838897705, -1.628369927406311, -1....</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1290]]</td>\n",
+       "      <td>[[2940]]</td>\n",
+       "      <td>[[6]]</td>\n",
+       "      <td>[[833]]</td>\n",
+       "      <td>[[5]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[[[ 333.33333333  100.         1066.66666667]]]]</td>\n",
+       "      <td>[[1362.6], [1516.7], [1526.9], [1609.6], [1639...</td>\n",
+       "      <td>[[559.35, 608.35, 1209.25, 1542.65, 1642.65]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>[[[[[24.57748618]], [[273.95547045]]]]]</td>\n",
+       "      <td>[[[[[24.57748618]], [[93.95547045]]]]]</td>\n",
+       "      <td>[[[[[-0.292683]\\n [-1.07317 ]\\n [ 0.172474]\\n ...</td>\n",
+       "      <td>[[28504.4, 28553.5, 28771.1, 28820.2, 29437.8,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[61331.0, 305667.8, 1088082.6, 2213872.8, 235...</td>\n",
+       "      <td>[[47524.5, 60023.3, 69113.4, 78056.5, 95006.6,...</td>\n",
+       "      <td>[[28230]]</td>\n",
+       "      <td>[[20734.7], [20755.5], [20879.5], [20883.2], [...</td>\n",
+       "      <td>[[1.7641315460205078, 1.7724475860595703, 1.77...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[28450]]</td>\n",
+       "      <td>[[28530]]</td>\n",
+       "      <td>[[4]]</td>\n",
+       "      <td>[[833]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[533.33333333 100.         866.66666667]]]]</td>\n",
+       "      <td>[[28498.3], [28501.5]]</td>\n",
+       "      <td>[[270.85]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>[[[[[41.10757743]], [[325.58195124]]]]]</td>\n",
+       "      <td>[[[[[41.10757743]], [[145.58195124]]]]]</td>\n",
+       "      <td>[[[[[-0.195122]\\n [-0.968641]\\n [ 0.270035]\\n ...</td>\n",
+       "      <td>[[1026.9, 1075.9, 1660.2, 2260.2, 2360.2, 3160...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[93531.9, 95639.6, 172179.0, 193812.6, 267732...</td>\n",
+       "      <td>[[22605.2, 37107.9, 45934.1, 61323.1, 91789.9,...</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[1741.2], [1901.0], [2007.8], [2490.7], [2501...</td>\n",
+       "      <td>[[-0.015624726191163063, -0.014572898857295513...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[980]]</td>\n",
+       "      <td>[[3170]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[750]]</td>\n",
+       "      <td>[[3]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[600 100 800]]]]</td>\n",
+       "      <td>[[1741.2], [1901.0], [2007.8], [2490.7], [2501...</td>\n",
+       "      <td>[[253.05, 302.05, 886.45, 1486.45, 1586.45, 23...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>[[[[[40.31712622]], [[330.30770288]]]]]</td>\n",
+       "      <td>[[[[[40.31712622]], [[150.30770288]]]]]</td>\n",
+       "      <td>[[[[[-0.0476186]\\n [-0.739838 ]\\n [ 0.325204 ]...</td>\n",
+       "      <td>[[14453.9, 14503.0, 15103.9, 15803.9, 15903.9,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[42335.3, 48350.9, 64971.2, 82607.5, 88762.3,...</td>\n",
+       "      <td>[[14190]]</td>\n",
+       "      <td>[[15792.6], [15819.2], [15821.6], [16266.9], [...</td>\n",
+       "      <td>[[-0.23433884978294373, -0.23696839809417725, ...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[14400]]</td>\n",
+       "      <td>[[16610]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[883]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[700 100 700]]]]</td>\n",
+       "      <td>[[15792.6], [15819.2], [15821.6], [16266.9], [...</td>\n",
+       "      <td>[[260.35, 309.35, 910.35, 1610.35, 1710.35, 24...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>[[[[[32.739582]], [[313.38955988]]]]]</td>\n",
+       "      <td>[[[[[32.739582]], [[133.38955988]]]]]</td>\n",
+       "      <td>[[[[[-0.137049 ]\\n [-1.66667  ]\\n [ 0.300813 ]...</td>\n",
+       "      <td>[[2919.1, 2968.1, 3652.5, 3701.5, 4302.5, 4769...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[3006.2, 10771.6, 45499.9, 54310.5, 68063.1, ...</td>\n",
+       "      <td>[[760]]</td>\n",
+       "      <td>[[2602.5], [2659.3], [2763.7], [2814.5], [2879...</td>\n",
+       "      <td>[[5.406066702562384e-05, 8.693039126228541e-05...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[2880]]</td>\n",
+       "      <td>[[3010]]</td>\n",
+       "      <td>[[3]]</td>\n",
+       "      <td>[[916]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[466.66666667 100.         933.33333333]]]]</td>\n",
+       "      <td>[[2959]]</td>\n",
+       "      <td>[[2155.075, 2204.075]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>[[[[[38.70982585]], [[348.14741901]]]]]</td>\n",
+       "      <td>[[[[[38.70982585]], [[168.14741901]]]]]</td>\n",
+       "      <td>[[[[[-0.129792 ]\\n [-0.756679 ]\\n [ 0.264518 ]...</td>\n",
+       "      <td>[[1095.1, 1144.1, 1728.4, 2211.8, 2311.8, 3228...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[40977.3, 80293.5, 93778.6, 106059.3, 111991....</td>\n",
+       "      <td>[[770]]</td>\n",
+       "      <td>[[784.8], [800.2], [1389.9], [1705.3], [1753.8...</td>\n",
+       "      <td>[[1.0065864324569702, 1.0065864324569702, 1.00...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1050]]</td>\n",
+       "      <td>[[3230]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[816]]</td>\n",
+       "      <td>[[8]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[483.33333333 100.         916.66666667]]]]</td>\n",
+       "      <td>[[1389.9], [1705.3], [1753.8], [1759.4], [1790...</td>\n",
+       "      <td>[[321.975, 370.975, 955.275, 1438.625, 1538.62...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>[[[[[14.80999713]], [[302.02946566]]]]]</td>\n",
+       "      <td>[[[[[14.80999713]], [[122.02946566]]]]]</td>\n",
+       "      <td>[[[[[ 0.0487805]\\n [-0.735773 ]\\n [ 0.501452 ]...</td>\n",
+       "      <td>[[8671.0, 8720.1, 9337.7, 9954.3, 10054.3, 108...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[16174.2, 19457.1, 34367.3, 40328.4, 49476.1,...</td>\n",
+       "      <td>[[8380]]</td>\n",
+       "      <td>[[9057.6], [9119.8], [9258.7], [9266.5], [9313...</td>\n",
+       "      <td>[[0.23352663218975067, 0.23365812003612518, 0....</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[8610]]</td>\n",
+       "      <td>[[10840]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[950]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[616.66666667 100.         783.33333333]]]]</td>\n",
+       "      <td>[[9057.6], [9119.8], [9258.7], [9266.5], [9313...</td>\n",
+       "      <td>[[285.125, 334.175, 951.775, 1568.475, 1668.47...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>[[[[[21.31368769]], [[36.31675569]]]]]</td>\n",
+       "      <td>[[[[[21.31368769]], [[-143.68324431]]]]]</td>\n",
+       "      <td>[[[[[-0.195122]\\n [-0.595122]\\n [ 0.331707]\\n ...</td>\n",
+       "      <td>[[6913.5, 6962.5, 7563.5, 8096.8, 8196.8, 9063...</td>\n",
+       "      <td>[[13747.8, 13998.0, 16731.1, 16981.3, 28664.3,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[17676.9, 38793.2, 44465.6, 89612.7, 95335.5,...</td>\n",
+       "      <td>[[6640]]</td>\n",
+       "      <td>[[6813.9], [6865.2], [7610.8], [7664.9], [7687...</td>\n",
+       "      <td>[[-0.026110121980309486, -0.02689899131655693,...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[6860]]</td>\n",
+       "      <td>[[9070]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[916]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[533.33333333 100.         866.66666667]]]]</td>\n",
+       "      <td>[[6865.2], [7610.8], [7664.9], [7687.8], [7742...</td>\n",
+       "      <td>[[268.025, 317.125, 918.025, 1451.375, 1551.37...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>[[[[[39.56225862]], [[17.08326241]]]]]</td>\n",
+       "      <td>[[[[[39.56225862]], [[-162.91673759]]]]]</td>\n",
+       "      <td>[[[[[-0.125435 ]\\n [-0.641115 ]\\n [ 0.250871 ]...</td>\n",
+       "      <td>[[2693.9, 2743.0, 3327.3, 3827.3, 3927.2, 4843...</td>\n",
+       "      <td>[[17511.7, 17761.5, 23528.2, 23778.1, 34861.6,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[64502.7, 82324.7, 91052.5, 105071.0, 145872....</td>\n",
+       "      <td>[[2450]]</td>\n",
+       "      <td>[[2454.9], [2462.3], [2593.7], [2701.6], [2775...</td>\n",
+       "      <td>[[-0.056152909994125366, -0.055824220180511475...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[2650]]</td>\n",
+       "      <td>[[4850]]</td>\n",
+       "      <td>[[17]]</td>\n",
+       "      <td>[[683]]</td>\n",
+       "      <td>[[11]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[483.33333333 100.         916.66666667]]]]</td>\n",
+       "      <td>[[2701.6], [2775.6], [2781.3], [2782.0], [2790...</td>\n",
+       "      <td>[[240.75, 289.85, 874.0833333333334, 1374.0833...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>[[[[[20]], [[150]]]]]</td>\n",
+       "      <td>[[[[[20]], [[330]]]]]</td>\n",
+       "      <td>[[[[[-0.181184 ]\\n [-0.801394 ]\\n [ 0.195122 ]...</td>\n",
+       "      <td>[[6765.6, 6831.4, 7082.3, 7131.4, 7732.3, 8165...</td>\n",
+       "      <td>[[10683.3, 10933.2, 16700.1, 16949.9, 22483.4,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[17367.2, 34925.0, 43618.0, 52361.5, 70237.1,...</td>\n",
+       "      <td>[[6510]]</td>\n",
+       "      <td>[[6566.1], [6599.8], [6601.2], [6601.8], [6603...</td>\n",
+       "      <td>[[0.6659259796142578, 0.6675365567207336, 0.66...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[6720]]</td>\n",
+       "      <td>[[6840]]</td>\n",
+       "      <td>[[20]]</td>\n",
+       "      <td>[[900]]</td>\n",
+       "      <td>[[8]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[ 383.33333333  100.         1016.66666667]]]]</td>\n",
+       "      <td>[[6720.5], [6727.4], [6821.1]]</td>\n",
+       "      <td>[[251.71666666666667, 317.51666666666665]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>[[[[[25]], [[150]]]]]</td>\n",
+       "      <td>[[[[[25]], [[330]]]]]</td>\n",
+       "      <td>[[[[[-0.0520332]\\n [-1.07805  ]\\n [ 0.517073 ]...</td>\n",
+       "      <td>[[1774.5, 1823.7, 2407.9, 2991.2, 3091.2, 3907...</td>\n",
+       "      <td>[[10891.9, 11142.6, 13958.5, 14209.2, 19908.5,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[17693.2, 77299.9, 94977.9, 100969.4, 106773....</td>\n",
+       "      <td>[[790]]</td>\n",
+       "      <td>[[1443.7], [1941.8], [2023.3], [2025.5], [2141...</td>\n",
+       "      <td>[[-1.6836236715316772, -1.6834264993667603, -1...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[1730]]</td>\n",
+       "      <td>[[3910]]</td>\n",
+       "      <td>[[1]]</td>\n",
+       "      <td>[[866]]</td>\n",
+       "      <td>[[9]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[583.33333333 100.         816.66666667]]]]</td>\n",
+       "      <td>[[1941.8], [2023.3], [2025.5], [2141.3], [2144...</td>\n",
+       "      <td>[[331.05, 380.21666666666664, 964.383333333333...</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>[[[[[25]], [[150]]]]]</td>\n",
+       "      <td>[[[[[25]], [[330]]]]]</td>\n",
+       "      <td>[[[[[-0.091057]\\n [-1.31219 ]\\n [ 0.478049]\\n ...</td>\n",
+       "      <td>[[4020.3, 6420.3, 6469.5, 7087.0, 7403.6, 7503...</td>\n",
+       "      <td>[[12970.9, 13221.6, 15837.6, 16088.3, 18804.2,...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[[4508.6, 19723.8, 25607.2, 49448.5, 73105.2, ...</td>\n",
+       "      <td>[[1790]]</td>\n",
+       "      <td>[[2819.2], [2834.3], [2944.2], [2994.1], [3044...</td>\n",
+       "      <td>[[-0.2701995372772217, -0.2705610692501068, -0...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>[[3930]]</td>\n",
+       "      <td>[[4510]]</td>\n",
+       "      <td>[[15]]</td>\n",
+       "      <td>[[816]]</td>\n",
+       "      <td>[[10]]</td>\n",
+       "      <td>[[0]]</td>\n",
+       "      <td>[[[[650 100 750]]]]</td>\n",
+       "      <td>[[4023.4], [4126.6], [4252.0], [4444.4], [4508...</td>\n",
+       "      <td>[[1679.2833333333333]]</td>\n",
+       "      <td>32.808348</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>22 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
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+       "0   [[[[[32.80834841]], [[314.13915409]]]]]   \n",
+       "1   [[[[[13.46757377]], [[308.20541614]]]]]   \n",
+       "2    [[[[[27.21131657]], [[31.50426672]]]]]   \n",
+       "3    [[[[[16.14765063]], [[51.77837553]]]]]   \n",
+       "4   [[[[[41.19192024]], [[334.57146374]]]]]   \n",
+       "5   [[[[[39.60819312]], [[333.01323701]]]]]   \n",
+       "6   [[[[[18.58280482]], [[272.78354237]]]]]   \n",
+       "7    [[[[[23.7013227]], [[276.53055366]]]]]   \n",
+       "8   [[[[[39.83246832]], [[325.26825101]]]]]   \n",
+       "9   [[[[[43.78690748]], [[346.41209025]]]]]   \n",
+       "10   [[[[[45.6351127]], [[338.16426921]]]]]   \n",
+       "11  [[[[[24.57748618]], [[273.95547045]]]]]   \n",
+       "12  [[[[[41.10757743]], [[325.58195124]]]]]   \n",
+       "13  [[[[[40.31712622]], [[330.30770288]]]]]   \n",
+       "14    [[[[[32.739582]], [[313.38955988]]]]]   \n",
+       "15  [[[[[38.70982585]], [[348.14741901]]]]]   \n",
+       "16  [[[[[14.80999713]], [[302.02946566]]]]]   \n",
+       "17   [[[[[21.31368769]], [[36.31675569]]]]]   \n",
+       "18   [[[[[39.56225862]], [[17.08326241]]]]]   \n",
+       "19                    [[[[[20]], [[150]]]]]   \n",
+       "20                    [[[[[25]], [[150]]]]]   \n",
+       "21                    [[[[[25]], [[150]]]]]   \n",
+       "\n",
+       "                       RightStimulusPosition  \\\n",
+       "0    [[[[[32.80834841]], [[134.13915409]]]]]   \n",
+       "1    [[[[[13.46757377]], [[128.20541614]]]]]   \n",
+       "2   [[[[[27.21131657]], [[-148.49573328]]]]]   \n",
+       "3   [[[[[16.14765063]], [[-128.22162447]]]]]   \n",
+       "4    [[[[[41.19192024]], [[154.57146374]]]]]   \n",
+       "5    [[[[[39.60819312]], [[153.01323701]]]]]   \n",
+       "6     [[[[[18.58280482]], [[92.78354237]]]]]   \n",
+       "7      [[[[[23.7013227]], [[96.53055366]]]]]   \n",
+       "8    [[[[[39.83246832]], [[145.26825101]]]]]   \n",
+       "9    [[[[[43.78690748]], [[166.41209025]]]]]   \n",
+       "10    [[[[[45.6351127]], [[158.16426921]]]]]   \n",
+       "11    [[[[[24.57748618]], [[93.95547045]]]]]   \n",
+       "12   [[[[[41.10757743]], [[145.58195124]]]]]   \n",
+       "13   [[[[[40.31712622]], [[150.30770288]]]]]   \n",
+       "14     [[[[[32.739582]], [[133.38955988]]]]]   \n",
+       "15   [[[[[38.70982585]], [[168.14741901]]]]]   \n",
+       "16   [[[[[14.80999713]], [[122.02946566]]]]]   \n",
+       "17  [[[[[21.31368769]], [[-143.68324431]]]]]   \n",
+       "18  [[[[[39.56225862]], [[-162.91673759]]]]]   \n",
+       "19                     [[[[[20]], [[330]]]]]   \n",
+       "20                     [[[[[25]], [[330]]]]]   \n",
+       "21                     [[[[[25]], [[330]]]]]   \n",
+       "\n",
+       "                                           EyeWindows  \\\n",
+       "0   [[[[[-0.214634 ]\\n [-0.536585 ]\\n [ 0.17561  ]...   \n",
+       "1   [[[[[ 0.0882702]\\n [-1.40488  ]\\n [ 0.478514 ]...   \n",
+       "2   [[[[[-0.145528]\\n [-0.880778]\\n [ 0.247967]\\n ...   \n",
+       "3   [[[[[-0.127235 ]\\n [-0.997852 ]\\n [ 0.26626  ]...   \n",
+       "4   [[[[[-0.0491876]\\n [-0.965332 ]\\n [ 0.268293 ]...   \n",
+       "5   [[[[[ 0.108944]\\n [-0.905283]\\n [ 0.414634]\\n ...   \n",
+       "6   [[[[[-0.0536573]\\n [-0.933335 ]\\n [ 0.252033 ]...   \n",
+       "7   [[[[[-0.045527]\\n [-0.925206]\\n [ 0.260162]\\n ...   \n",
+       "8   [[[[[-0.0699173]\\n [-1.0309   ]\\n [ 0.235772 ]...   \n",
+       "9   [[[[[ 0.369107]\\n [-0.177238]\\n [ 0.674797]\\n ...   \n",
+       "10  [[[[[-0.104529]\\n [-0.954704]\\n [ 0.200349]\\n ...   \n",
+       "11  [[[[[-0.292683]\\n [-1.07317 ]\\n [ 0.172474]\\n ...   \n",
+       "12  [[[[[-0.195122]\\n [-0.968641]\\n [ 0.270035]\\n ...   \n",
+       "13  [[[[[-0.0476186]\\n [-0.739838 ]\\n [ 0.325204 ]...   \n",
+       "14  [[[[[-0.137049 ]\\n [-1.66667  ]\\n [ 0.300813 ]...   \n",
+       "15  [[[[[-0.129792 ]\\n [-0.756679 ]\\n [ 0.264518 ]...   \n",
+       "16  [[[[[ 0.0487805]\\n [-0.735773 ]\\n [ 0.501452 ]...   \n",
+       "17  [[[[[-0.195122]\\n [-0.595122]\\n [ 0.331707]\\n ...   \n",
+       "18  [[[[[-0.125435 ]\\n [-0.641115 ]\\n [ 0.250871 ]...   \n",
+       "19  [[[[[-0.181184 ]\\n [-0.801394 ]\\n [ 0.195122 ]...   \n",
+       "20  [[[[[-0.0520332]\\n [-1.07805  ]\\n [ 0.517073 ]...   \n",
+       "21  [[[[[-0.091057]\\n [-1.31219 ]\\n [ 0.478049]\\n ...   \n",
+       "\n",
+       "                                          PhotoEvents  \\\n",
+       "0   [[1545.7, 1595.5, 2212.8, 2677.1, 2777.1, 3711...   \n",
+       "1   [[10239.8, 10288.6, 10890.4, 11390.9, 11591.1,...   \n",
+       "2   [[1184.6, 1234.3, 1852.0, 2185.2, 2285.3, 3353...   \n",
+       "3   [[6017.7, 6066.6, 6701.8, 6750.7, 7369.1, 7969...   \n",
+       "4   [[1464.5, 1514.2, 2128.6, 2745.9, 2846.0, 3630...   \n",
+       "5   [[4230.9, 4998.8, 6014.2, 6063.2, 7030.9, 7079...   \n",
+       "6   [[1946.3, 1995.3, 2579.6, 3312.9, 3362.0, 3979...   \n",
+       "7   [[2489.7, 2538.8, 3123.0, 3806.4, 3855.4, 4456...   \n",
+       "8   [[22896.2, 22945.2, 23546.2, 23946.1, 24046.1,...   \n",
+       "9   [[3746.7, 3795.8, 4380.1, 4863.4, 4980.1, 5880...   \n",
+       "10  [[1332.1, 1381.2, 1982.1, 2315.5, 2415.5, 3165...   \n",
+       "11  [[28504.4, 28553.5, 28771.1, 28820.2, 29437.8,...   \n",
+       "12  [[1026.9, 1075.9, 1660.2, 2260.2, 2360.2, 3160...   \n",
+       "13  [[14453.9, 14503.0, 15103.9, 15803.9, 15903.9,...   \n",
+       "14  [[2919.1, 2968.1, 3652.5, 3701.5, 4302.5, 4769...   \n",
+       "15  [[1095.1, 1144.1, 1728.4, 2211.8, 2311.8, 3228...   \n",
+       "16  [[8671.0, 8720.1, 9337.7, 9954.3, 10054.3, 108...   \n",
+       "17  [[6913.5, 6962.5, 7563.5, 8096.8, 8196.8, 9063...   \n",
+       "18  [[2693.9, 2743.0, 3327.3, 3827.3, 3927.2, 4843...   \n",
+       "19  [[6765.6, 6831.4, 7082.3, 7131.4, 7732.3, 8165...   \n",
+       "20  [[1774.5, 1823.7, 2407.9, 2991.2, 3091.2, 3907...   \n",
+       "21  [[4020.3, 6420.3, 6469.5, 7087.0, 7403.6, 7503...   \n",
+       "\n",
+       "                                           StimEvents  \\\n",
+       "0   [[176803.3, 177052.9, 182542.4, 182792.0, 1883...   \n",
+       "1   [[15796.2, 16046.5, 24705.2, 24955.5, 27758.2,...   \n",
+       "2                                                  []   \n",
+       "3   [[13208.9, 13459.7, 24970.8, 25221.6, 36982.9,...   \n",
+       "4   [[23200.7, 23451.1, 26337.1, 26587.5, 49610.6,...   \n",
+       "5   [[13664.9, 13915.6, 25314.8, 25565.5, 37348.1,...   \n",
+       "6                                                  []   \n",
+       "7                                                  []   \n",
+       "8                                                  []   \n",
+       "9                                                  []   \n",
+       "10                                                 []   \n",
+       "11                                                 []   \n",
+       "12                                                 []   \n",
+       "13                                                 []   \n",
+       "14                                                 []   \n",
+       "15                                                 []   \n",
+       "16                                                 []   \n",
+       "17  [[13747.8, 13998.0, 16731.1, 16981.3, 28664.3,...   \n",
+       "18  [[17511.7, 17761.5, 23528.2, 23778.1, 34861.6,...   \n",
+       "19  [[10683.3, 10933.2, 16700.1, 16949.9, 22483.4,...   \n",
+       "20  [[10891.9, 11142.6, 13958.5, 14209.2, 19908.5,...   \n",
+       "21  [[12970.9, 13221.6, 15837.6, 16088.3, 18804.2,...   \n",
+       "\n",
+       "                                                 Key0  \\\n",
+       "0   [[91575.8, 258175.6, 386316.3, 388639.5, 53569...   \n",
+       "1   [[289559.0, 466222.6, 467862.5, 470716.4, 1750...   \n",
+       "2   [[266555.2, 461743.7, 463431.6, 463844.6, 1078...   \n",
+       "3   [[6466.6, 495471.5, 532818.9, 1073571.9, 13918...   \n",
+       "4   [[430577.8, 435351.5, 436091.7, 705504.0, 1110...   \n",
+       "5                                                  []   \n",
+       "6                                                  []   \n",
+       "7                                                  []   \n",
+       "8                                                  []   \n",
+       "9                                                  []   \n",
+       "10      [[378453.6, 2305193.8, 2310267.3, 2322550.6]]   \n",
+       "11  [[61331.0, 305667.8, 1088082.6, 2213872.8, 235...   \n",
+       "12  [[93531.9, 95639.6, 172179.0, 193812.6, 267732...   \n",
+       "13                                                 []   \n",
+       "14                                                 []   \n",
+       "15                                                 []   \n",
+       "16                                                 []   \n",
+       "17                                                 []   \n",
+       "18                                                 []   \n",
+       "19                                                 []   \n",
+       "20                                                 []   \n",
+       "21                                                 []   \n",
+       "\n",
+       "                                                 Key1  dataStart  \\\n",
+       "0   [[12113.9, 17002.0, 21667.3, 27552.4, 56411.8,...    [[770]]   \n",
+       "1   [[11864.1, 19415.9, 31670.0, 37606.1, 96241.3,...   [[9670]]   \n",
+       "2   [[33017.1, 49572.9, 69973.1, 71299.2, 85777.0,...    [[770]]   \n",
+       "3   [[14319.7, 29082.0, 40853.1, 49555.5, 58301.3,...   [[4260]]   \n",
+       "4   [[18107.1, 50904.6, 54633.7, 85868.2, 93871.8,...    [[770]]   \n",
+       "5   [[6488.4, 14503.8, 29146.2, 41117.2, 50406.5, ...   [[3840]]   \n",
+       "6   [[12600.4, 18391.8, 33194.1, 39229.3, 47893.1,...   [[1570]]   \n",
+       "7   [[5408.7, 13722.1, 37400.4, 46590.5, 67556.6, ...   [[1950]]   \n",
+       "8   [[60539.5, 91433.3, 116782.3, 122933.2, 132126...  [[15210]]   \n",
+       "9   [[5317.2, 8436.1, 17069.9, 22138.1, 38436.2, 5...   [[3400]]   \n",
+       "10  [[61370.6, 67250.8, 78375.6, 84428.3, 93255.9,...    [[770]]   \n",
+       "11  [[47524.5, 60023.3, 69113.4, 78056.5, 95006.6,...  [[28230]]   \n",
+       "12  [[22605.2, 37107.9, 45934.1, 61323.1, 91789.9,...    [[770]]   \n",
+       "13  [[42335.3, 48350.9, 64971.2, 82607.5, 88762.3,...  [[14190]]   \n",
+       "14  [[3006.2, 10771.6, 45499.9, 54310.5, 68063.1, ...    [[760]]   \n",
+       "15  [[40977.3, 80293.5, 93778.6, 106059.3, 111991....    [[770]]   \n",
+       "16  [[16174.2, 19457.1, 34367.3, 40328.4, 49476.1,...   [[8380]]   \n",
+       "17  [[17676.9, 38793.2, 44465.6, 89612.7, 95335.5,...   [[6640]]   \n",
+       "18  [[64502.7, 82324.7, 91052.5, 105071.0, 145872....   [[2450]]   \n",
+       "19  [[17367.2, 34925.0, 43618.0, 52361.5, 70237.1,...   [[6510]]   \n",
+       "20  [[17693.2, 77299.9, 94977.9, 100969.4, 106773....    [[790]]   \n",
+       "21  [[4508.6, 19723.8, 25607.2, 49448.5, 73105.2, ...   [[1790]]   \n",
+       "\n",
+       "                                               spikes  \\\n",
+       "0   [[828.4], [922.0], [954.3], [984.7], [1040.0],...   \n",
+       "1   [[9675.3], [9796.1], [10073.1], [10075.7], [10...   \n",
+       "2   [[774.3], [1051.6], [1057.8], [1107.5], [1110....   \n",
+       "3   [[6561.5], [6711.2], [6718.2], [6773.8], [6778...   \n",
+       "4   [[3296.8], [3812.3], [3824.6], [3836.3], [3960...   \n",
+       "5   [[5359.6], [5418.3], [5480.0], [5491.0], [5508...   \n",
+       "6   [[2535.3], [2558.6], [2560.8], [2575.8], [2633...   \n",
+       "7   [[3513.8], [3528.8], [3529.3], [3572.2], [3578...   \n",
+       "8   [[17139.5], [17152.7], [17168.0], [17224.4], [...   \n",
+       "9   [[7047.7], [7052.1], [7077.5], [7081.3], [7123...   \n",
+       "10  [[1362.6], [1516.7], [1526.9], [1609.6], [1639...   \n",
+       "11  [[20734.7], [20755.5], [20879.5], [20883.2], [...   \n",
+       "12  [[1741.2], [1901.0], [2007.8], [2490.7], [2501...   \n",
+       "13  [[15792.6], [15819.2], [15821.6], [16266.9], [...   \n",
+       "14  [[2602.5], [2659.3], [2763.7], [2814.5], [2879...   \n",
+       "15  [[784.8], [800.2], [1389.9], [1705.3], [1753.8...   \n",
+       "16  [[9057.6], [9119.8], [9258.7], [9266.5], [9313...   \n",
+       "17  [[6813.9], [6865.2], [7610.8], [7664.9], [7687...   \n",
+       "18  [[2454.9], [2462.3], [2593.7], [2701.6], [2775...   \n",
+       "19  [[6566.1], [6599.8], [6601.2], [6601.8], [6603...   \n",
+       "20  [[1443.7], [1941.8], [2023.3], [2025.5], [2141...   \n",
+       "21  [[2819.2], [2834.3], [2944.2], [2994.1], [3044...   \n",
+       "\n",
+       "                                               analog  ...      Start  \\\n",
+       "0   [[-0.2835116982460022, -0.2764776349067688, -0...  ...   [[1480]]   \n",
+       "1   [[0.5390381813049316, 0.5391367673873901, 0.53...  ...  [[10180]]   \n",
+       "2   [[-1.309370756149292, -1.310192584991455, -1.3...  ...   [[1120]]   \n",
+       "3   [[0.07552260905504227, 0.0755554735660553, 0.0...  ...   [[5960]]   \n",
+       "4   [[0.1333073228597641, 0.13327443599700928, 0.1...  ...   [[1400]]   \n",
+       "5   [[0.9873576164245605, 0.9870945811271667, 0.98...  ...   [[4140]]   \n",
+       "6   [[-0.22388632595539093, -0.22069796919822693, ...  ...   [[1900]]   \n",
+       "7   [[-0.3846185505390167, -0.3863277733325958, -0...  ...   [[2450]]   \n",
+       "8   [[1.7240965366363525, 1.724129319190979, 1.724...  ...  [[22840]]   \n",
+       "9   [[0.6189881563186646, 0.6189553141593933, 0.61...  ...   [[3690]]   \n",
+       "10  [[-1.6286327838897705, -1.628369927406311, -1....  ...   [[1290]]   \n",
+       "11  [[1.7641315460205078, 1.7724475860595703, 1.77...  ...  [[28450]]   \n",
+       "12  [[-0.015624726191163063, -0.014572898857295513...  ...    [[980]]   \n",
+       "13  [[-0.23433884978294373, -0.23696839809417725, ...  ...  [[14400]]   \n",
+       "14  [[5.406066702562384e-05, 8.693039126228541e-05...  ...   [[2880]]   \n",
+       "15  [[1.0065864324569702, 1.0065864324569702, 1.00...  ...   [[1050]]   \n",
+       "16  [[0.23352663218975067, 0.23365812003612518, 0....  ...   [[8610]]   \n",
+       "17  [[-0.026110121980309486, -0.02689899131655693,...  ...   [[6860]]   \n",
+       "18  [[-0.056152909994125366, -0.055824220180511475...  ...   [[2650]]   \n",
+       "19  [[0.6659259796142578, 0.6675365567207336, 0.66...  ...   [[6720]]   \n",
+       "20  [[-1.6836236715316772, -1.6834264993667603, -1...  ...   [[1730]]   \n",
+       "21  [[-0.2701995372772217, -0.2705610692501068, -0...  ...   [[3930]]   \n",
+       "\n",
+       "         Stop  Answer InterTrialInterval Condition ResponseTrial  \\\n",
+       "0    [[3720]]   [[1]]            [[800]]     [[9]]         [[0]]   \n",
+       "1   [[11390]]   [[4]]            [[667]]     [[0]]         [[1]]   \n",
+       "2    [[3360]]   [[1]]            [[850]]    [[10]]         [[0]]   \n",
+       "3    [[6470]]   [[3]]            [[650]]     [[6]]         [[0]]   \n",
+       "4    [[3640]]   [[1]]            [[934]]     [[9]]         [[0]]   \n",
+       "5    [[4720]]  [[15]]            [[733]]     [[6]]         [[0]]   \n",
+       "6    [[3090]]   [[4]]            [[833]]    [[10]]         [[0]]   \n",
+       "7    [[3200]]   [[4]]            [[750]]     [[9]]         [[0]]   \n",
+       "8   [[25050]]   [[1]]            [[616]]     [[8]]         [[0]]   \n",
+       "9    [[6470]]  [[17]]            [[683]]     [[5]]         [[1]]   \n",
+       "10   [[2940]]   [[6]]            [[833]]     [[5]]         [[1]]   \n",
+       "11  [[28530]]   [[4]]            [[833]]     [[9]]         [[0]]   \n",
+       "12   [[3170]]   [[1]]            [[750]]     [[3]]         [[0]]   \n",
+       "13  [[16610]]   [[1]]            [[883]]    [[10]]         [[0]]   \n",
+       "14   [[3010]]   [[3]]            [[916]]     [[9]]         [[0]]   \n",
+       "15   [[3230]]   [[1]]            [[816]]     [[8]]         [[0]]   \n",
+       "16  [[10840]]   [[1]]            [[950]]    [[10]]         [[0]]   \n",
+       "17   [[9070]]   [[1]]            [[916]]     [[9]]         [[0]]   \n",
+       "18   [[4850]]  [[17]]            [[683]]    [[11]]         [[0]]   \n",
+       "19   [[6840]]  [[20]]            [[900]]     [[8]]         [[0]]   \n",
+       "20   [[3910]]   [[1]]            [[866]]     [[9]]         [[0]]   \n",
+       "21   [[4510]]  [[15]]            [[816]]    [[10]]         [[0]]   \n",
+       "\n",
+       "                                          TrialTiming  \\\n",
+       "0      [[[[467.13333333 100.1        934.26666667]]]]   \n",
+       "1                           [[[[500.5 100.1 900.9]]]]   \n",
+       "2   [[[[ 333.66666667  100.1        1067.73333333]]]]   \n",
+       "3   [[[[ 367.03333333  100.1        1034.36666667]]]]   \n",
+       "4      [[[[617.28333333 100.1        784.11666667]]]]   \n",
+       "5                                 [[[[550 100 850]]]]   \n",
+       "6                                 [[[[650 100 750]]]]   \n",
+       "7      [[[[533.33333333 100.         866.66666667]]]]   \n",
+       "8                              [[[[ 400  100 1000]]]]   \n",
+       "9      [[[[483.33333333 100.         916.66666667]]]]   \n",
+       "10  [[[[ 333.33333333  100.         1066.66666667]]]]   \n",
+       "11     [[[[533.33333333 100.         866.66666667]]]]   \n",
+       "12                                [[[[600 100 800]]]]   \n",
+       "13                                [[[[700 100 700]]]]   \n",
+       "14     [[[[466.66666667 100.         933.33333333]]]]   \n",
+       "15     [[[[483.33333333 100.         916.66666667]]]]   \n",
+       "16     [[[[616.66666667 100.         783.33333333]]]]   \n",
+       "17     [[[[533.33333333 100.         866.66666667]]]]   \n",
+       "18     [[[[483.33333333 100.         916.66666667]]]]   \n",
+       "19  [[[[ 383.33333333  100.         1016.66666667]]]]   \n",
+       "20     [[[[583.33333333 100.         816.66666667]]]]   \n",
+       "21                                [[[[650 100 750]]]]   \n",
+       "\n",
+       "                                               spikes  \\\n",
+       "0   [[1499.2], [1525.3], [1534.0], [1543.3], [1551...   \n",
+       "1   [[10229.0], [10269.4], [10346.3], [10372.7], [...   \n",
+       "2   [[1120.9], [1163.6], [1585.4], [2108.3], [2153...   \n",
+       "3                                                  []   \n",
+       "4                                          [[3296.8]]   \n",
+       "5                                                  []   \n",
+       "6   [[2535.3], [2558.6], [2560.8], [2575.8], [2633...   \n",
+       "7                                                  []   \n",
+       "8   [[22877.3], [22884.5], [22895.0], [22902.7], [...   \n",
+       "9                                                  []   \n",
+       "10  [[1362.6], [1516.7], [1526.9], [1609.6], [1639...   \n",
+       "11                             [[28498.3], [28501.5]]   \n",
+       "12  [[1741.2], [1901.0], [2007.8], [2490.7], [2501...   \n",
+       "13  [[15792.6], [15819.2], [15821.6], [16266.9], [...   \n",
+       "14                                           [[2959]]   \n",
+       "15  [[1389.9], [1705.3], [1753.8], [1759.4], [1790...   \n",
+       "16  [[9057.6], [9119.8], [9258.7], [9266.5], [9313...   \n",
+       "17  [[6865.2], [7610.8], [7664.9], [7687.8], [7742...   \n",
+       "18  [[2701.6], [2775.6], [2781.3], [2782.0], [2790...   \n",
+       "19                     [[6720.5], [6727.4], [6821.1]]   \n",
+       "20  [[1941.8], [2023.3], [2025.5], [2141.3], [2144...   \n",
+       "21  [[4023.4], [4126.6], [4252.0], [4444.4], [4508...   \n",
+       "\n",
+       "                                       PhotoEventsRHD LeftStimPos  \n",
+       "0   [[764.15, 813.85, 1431.15, 1895.45, 1995.55, 2...   32.808348  \n",
+       "1                         [[565.25, 614.05, 1215.85]]   32.808348  \n",
+       "2   [[410.65, 460.35, 1078.05, 1411.35, 1511.35, 2...   32.808348  \n",
+       "3                                [[1754.65, 1803.55]]   32.808348  \n",
+       "4   [[690.35, 740.05, 1354.45, 1971.75, 2071.85, 2...   32.808348  \n",
+       "5                                          [[382.55]]   32.808348  \n",
+       "6                         [[372.85, 421.95, 1006.15]]   32.808348  \n",
+       "7                         [[535.75, 584.85, 1169.05]]   32.808348  \n",
+       "8   [[7680.65, 7729.75, 8330.65, 8730.65, 8830.65,...   32.808348  \n",
+       "9   [[342.05, 391.05, 975.35, 1458.75, 1575.35, 24...   32.808348  \n",
+       "10      [[559.35, 608.35, 1209.25, 1542.65, 1642.65]]   32.808348  \n",
+       "11                                         [[270.85]]   32.808348  \n",
+       "12  [[253.05, 302.05, 886.45, 1486.45, 1586.45, 23...   32.808348  \n",
+       "13  [[260.35, 309.35, 910.35, 1610.35, 1710.35, 24...   32.808348  \n",
+       "14                             [[2155.075, 2204.075]]   32.808348  \n",
+       "15  [[321.975, 370.975, 955.275, 1438.625, 1538.62...   32.808348  \n",
+       "16  [[285.125, 334.175, 951.775, 1568.475, 1668.47...   32.808348  \n",
+       "17  [[268.025, 317.125, 918.025, 1451.375, 1551.37...   32.808348  \n",
+       "18  [[240.75, 289.85, 874.0833333333334, 1374.0833...   32.808348  \n",
+       "19         [[251.71666666666667, 317.51666666666665]]   32.808348  \n",
+       "20  [[331.05, 380.21666666666664, 964.383333333333...   32.808348  \n",
+       "21                             [[1679.2833333333333]]   32.808348  \n",
+       "\n",
+       "[22 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "print(type(full_data))\n",
+    "\n",
+    "# i want to see the middle of the table sometimes. this just drops the stuff in the first half without overriding the data itself.\n",
+    "full_data.drop(labels=[\"LeftStimulusPosition\", \"RightStimulusPosition\", \"EyeWindows\", \"PhotoEvents\", \"StimEvents\", \"Key0\", \"Key1\"], inplace=False, axis=1)\n",
+    "\n",
+    "bingus = full_data.assign(LeftStimPos = lambda x: ((x[\"LeftStimulusPosition\"])[0][0][0][0][0][0]))\n",
+    "\n",
+    "# (x[\"LeftStimulusPosition\"])[0][0][0][1][0][0]\n",
+    "\n",
+    "#df = df.assign(Percentage = lambda x: (x['Total_Marks'] /500 * 100))\n",
+    "\n",
+    "print(full_data[\"LeftStimulusPosition\"][0][0][0][0][0][0], full_data[\"LeftStimulusPosition\"][0][0][0][1][0][0])\n",
+    "\n",
+    "bingus\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "6e83b262",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[1.7240000e-01]\n",
+      " [2.4870000e-01]\n",
+      " [3.5360000e-01]\n",
+      " ...\n",
+      " [4.2255835e+03]\n",
+      " [4.2256108e+03]\n",
+      " [4.2256437e+03]]\n",
+      "––––––––––––\n",
+      "(array(['neural08_A-008a'], dtype='<U15'), array([[500]], dtype=uint16), array([[1.7240000e-01],\n",
+      "       [2.4870000e-01],\n",
+      "       [3.5360000e-01],\n",
+      "       ...,\n",
+      "       [4.2255835e+03],\n",
+      "       [4.2256108e+03],\n",
+      "       [4.2256437e+03]]), array([[1]], dtype=uint8), array([[0]], dtype=uint8))\n",
+      "––––––––––––\n",
+      "[[array([[(array(['neural08_A-008a'], dtype='<U15'), array([[500]], dtype=uint16), array([[1.7240000e-01],\n",
+      "                 [2.4870000e-01],\n",
+      "                 [3.5360000e-01],\n",
+      "                 ...,\n",
+      "                 [4.2255835e+03],\n",
+      "                 [4.2256108e+03],\n",
+      "                 [4.2256437e+03]]), array([[1]], dtype=uint8), array([[0]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural10_A-010a'], dtype='<U15'), array([[500]], dtype=uint16), array([[5.4820000e-01],\n",
+      "                 [5.7380000e-01],\n",
+      "                 [5.9010000e-01],\n",
+      "                 ...,\n",
+      "                 [4.2217720e+03],\n",
+      "                 [4.2219880e+03],\n",
+      "                 [4.2221137e+03]]), array([[1]], dtype=uint8), array([[2]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural10_A-010b'], dtype='<U15'), array([[500]], dtype=uint16), array([[5.5630000e-01],\n",
+      "                 [9.6360000e-01],\n",
+      "                 [1.1927000e+00],\n",
+      "                 ...,\n",
+      "                 [4.2248012e+03],\n",
+      "                 [4.2248784e+03],\n",
+      "                 [4.2248819e+03]]), array([[2]], dtype=uint8), array([[2]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural13_A-013a'], dtype='<U15'), array([[500]], dtype=uint16), array([[4.4700000e-02],\n",
+      "                 [7.3350000e-01],\n",
+      "                 [1.7007000e+00],\n",
+      "                 ...,\n",
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+      "                 [4.2253640e+03],\n",
+      "                 [4.2254340e+03]]), array([[1]], dtype=uint8), array([[5]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural13_A-013b'], dtype='<U15'), array([[500]], dtype=uint16), array([[7.0220000e-01],\n",
+      "                 [9.4180000e-01],\n",
+      "                 [1.2664000e+00],\n",
+      "                 ...,\n",
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+      "                 [4.2252664e+03],\n",
+      "                 [4.2254174e+03]]), array([[2]], dtype=uint8), array([[5]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural15_A-015a'], dtype='<U15'), array([[500]], dtype=uint16), array([[9.8600000e-02],\n",
+      "                 [2.4230000e-01],\n",
+      "                 [2.7400000e-01],\n",
+      "                 ...,\n",
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+      "                 [4.2254348e+03],\n",
+      "                 [4.2254948e+03]]), array([[1]], dtype=uint8), array([[7]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural15_A-015b'], dtype='<U15'), array([[500]], dtype=uint16), array([[2.4470000e-01],\n",
+      "                 [4.0800000e-01],\n",
+      "                 [5.8000000e-01],\n",
+      "                 ...,\n",
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+      "                 [4.2254626e+03],\n",
+      "                 [4.2256073e+03]]), array([[2]], dtype=uint8), array([[7]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural16_A-016a'], dtype='<U15'), array([[500]], dtype=uint16), array([[4.7500000e-02],\n",
+      "                 [1.2140000e-01],\n",
+      "                 [1.3820000e-01],\n",
+      "                 ...,\n",
+      "                 [4.2254808e+03],\n",
+      "                 [4.2255082e+03],\n",
+      "                 [4.2255627e+03]]), array([[1]], dtype=uint8), array([[8]], dtype=uint8))                 ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural19_A-019a'], dtype='<U15'), array([[500]], dtype=uint16), array([[2.6690000e-01],\n",
+      "                 [3.8430000e-01],\n",
+      "                 [3.9170000e-01],\n",
+      "                 ...,\n",
+      "                 [4.2244983e+03],\n",
+      "                 [4.2248338e+03],\n",
+      "                 [4.2252492e+03]]), array([[1]], dtype=uint8), array([[11]], dtype=uint8))                ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural22_A-022a'], dtype='<U15'), array([[500]], dtype=uint16), array([[2.9460000e-01],\n",
+      "                 [3.3680000e-01],\n",
+      "                 [7.4080000e-01],\n",
+      "                 ...,\n",
+      "                 [4.2248304e+03],\n",
+      "                 [4.2250148e+03],\n",
+      "                 [4.2252104e+03]]), array([[1]], dtype=uint8), array([[14]], dtype=uint8))                ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]\n",
+      " [array([[(array(['neural23_A-023a'], dtype='<U15'), array([[500]], dtype=uint16), array([[5.8270000e-01],\n",
+      "                 [5.8440000e-01],\n",
+      "                 [1.6750000e+00],\n",
+      "                 ...,\n",
+      "                 [4.2247740e+03],\n",
+      "                 [4.2248021e+03],\n",
+      "                 [4.2250355e+03]]), array([[1]], dtype=uint8), array([[15]], dtype=uint8))                ]],\n",
+      "        dtype=[('name', 'O'), ('varNex5Version', 'O'), ('timestamps', 'O'), ('unitNumber', 'O'), ('wireNumber', 'O')])]]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
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+       "  <thead>\n",
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+       "      <th></th>\n",
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+       "      <td>0.1724</td>\n",
+       "      <td>0.5482</td>\n",
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+       "      <td>0.0447</td>\n",
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+       "      <th>1</th>\n",
+       "      <td>0.2487</td>\n",
+       "      <td>0.5738</td>\n",
+       "      <td>0.9636</td>\n",
+       "      <td>0.7335</td>\n",
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+       "      <td>0.3843</td>\n",
+       "      <td>0.3368</td>\n",
+       "      <td>0.5844</td>\n",
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+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.3536</td>\n",
+       "      <td>0.5901</td>\n",
+       "      <td>1.1927</td>\n",
+       "      <td>1.7007</td>\n",
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+       "      <td>0.2740</td>\n",
+       "      <td>0.5800</td>\n",
+       "      <td>0.1382</td>\n",
+       "      <td>0.3917</td>\n",
+       "      <td>0.7408</td>\n",
+       "      <td>1.6750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.4580</td>\n",
+       "      <td>0.8593</td>\n",
+       "      <td>1.2371</td>\n",
+       "      <td>1.9397</td>\n",
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+       "      <td>5.2213</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.4706</td>\n",
+       "      <td>0.9094</td>\n",
+       "      <td>1.3109</td>\n",
+       "      <td>2.4797</td>\n",
+       "      <td>2.3061</td>\n",
+       "      <td>0.5612</td>\n",
+       "      <td>0.6890</td>\n",
+       "      <td>0.3577</td>\n",
+       "      <td>0.4454</td>\n",
+       "      <td>0.7685</td>\n",
+       "      <td>5.2295</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68008</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4225.2892</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68009</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>4225.3757</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68010</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4225.4595</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68011</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4225.4626</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68012</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>68013 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            0       0       0       0       0       0          0       0  \\\n",
+       "0      0.1724  0.5482  0.5563  0.0447  0.7022  0.0986     0.2447  0.0475   \n",
+       "1      0.2487  0.5738  0.9636  0.7335  0.9418  0.2423     0.4080  0.1214   \n",
+       "2      0.3536  0.5901  1.1927  1.7007  1.2664  0.2740     0.5800  0.1382   \n",
+       "3      0.4580  0.8593  1.2371  1.9397  1.6948  0.4807     0.6579  0.1939   \n",
+       "4      0.4706  0.9094  1.3109  2.4797  2.3061  0.5612     0.6890  0.3577   \n",
+       "...       ...     ...     ...     ...     ...     ...        ...     ...   \n",
+       "68008     NaN     NaN     NaN     NaN     NaN     NaN  4225.2892     NaN   \n",
+       "68009     NaN     NaN     NaN     NaN     NaN     NaN  4225.3757     NaN   \n",
+       "68010     NaN     NaN     NaN     NaN     NaN     NaN  4225.4595     NaN   \n",
+       "68011     NaN     NaN     NaN     NaN     NaN     NaN  4225.4626     NaN   \n",
+       "68012     NaN     NaN     NaN     NaN     NaN     NaN  4225.6073     NaN   \n",
+       "\n",
+       "            0       0       0  \n",
+       "0      0.2669  0.2946  0.5827  \n",
+       "1      0.3843  0.3368  0.5844  \n",
+       "2      0.3917  0.7408  1.6750  \n",
+       "3      0.4185  0.7577  5.2213  \n",
+       "4      0.4454  0.7685  5.2295  \n",
+       "...       ...     ...     ...  \n",
+       "68008     NaN     NaN     NaN  \n",
+       "68009     NaN     NaN     NaN  \n",
+       "68010     NaN     NaN     NaN  \n",
+       "68011     NaN     NaN     NaN  \n",
+       "68012     NaN     NaN     NaN  \n",
+       "\n",
+       "[68013 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "file = loadmat('hbp-d000034_AttentionNetworksInMonkeys_pub/timestamps/all/20180129_all.mat')\n",
+    "the_important_stuff = file['neurons']\n",
+    "\n",
+    "#file\n",
+    "#df_1 = pd.DataFrame(data_1[0][0])\n",
+    "\n",
+    "the_stuff = None\n",
+    "\n",
+    "#the_important_stuff.shape[0]\n",
+    "for i in range(0, the_important_stuff.shape[0]):\n",
+    "    frame_of_some_sort = pd.DataFrame(the_important_stuff[i][0][0][0][2])\n",
+    "    the_stuff = pd.concat([the_stuff, frame_of_some_sort], axis=1)\n",
+    "#pd.DataFrame(the_important_stuff[0][0])\n",
+    "\n",
+    "print(the_important_stuff[0][0][0][0][2])\n",
+    "print(\"––––––––––––\")\n",
+    "print(the_important_stuff[0][0][0][0])\n",
+    "print(\"––––––––––––\")\n",
+    "print(the_important_stuff)\n",
+    "\n",
+    "the_stuff\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "id": "f80507a3",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[(array(['neural08_A-008a'], dtype='<U15'), array([], shape=(0, 1), dtype=uint8))],\n",
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+       "               [4223957.75],\n",
+       "               [4224059.25],\n",
+       "               [4224157.05]]))                                         ],\n",
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+       "               [4224651.25],\n",
+       "               [4224675.45],\n",
+       "               [4224736.45],\n",
+       "               [4224855.35]]))                                         ],\n",
+       "       [(array(['neural13_A-013b'], dtype='<U15'), array([[4224081.65],\n",
+       "               [4224434.75]]))                                         ],\n",
+       "       [(array(['neural15_A-015a'], dtype='<U15'), array([[4222941.35],\n",
+       "               [4222943.25],\n",
+       "               [4222965.75],\n",
+       "               [4223116.95],\n",
+       "               [4223181.85],\n",
+       "               [4223193.55],\n",
+       "               [4223274.65],\n",
+       "               [4223588.05],\n",
+       "               [4223596.25],\n",
+       "               [4223739.45],\n",
+       "               [4223959.25],\n",
+       "               [4224154.45],\n",
+       "               [4224166.25],\n",
+       "               [4224167.15],\n",
+       "               [4224263.05],\n",
+       "               [4224266.25],\n",
+       "               [4224268.65],\n",
+       "               [4224341.15],\n",
+       "               [4224373.25]]))                                         ],\n",
+       "       [(array(['neural15_A-015b'], dtype='<U15'), array([[4222871.65],\n",
+       "               [4223088.25],\n",
+       "               [4223141.15],\n",
+       "               [4223273.25],\n",
+       "               [4223308.65],\n",
+       "               [4223330.35],\n",
+       "               [4223360.55],\n",
+       "               [4223367.25],\n",
+       "               [4223465.85],\n",
+       "               [4223548.55],\n",
+       "               [4223660.05],\n",
+       "               [4223695.05],\n",
+       "               [4223750.75],\n",
+       "               [4223755.45],\n",
+       "               [4223859.85],\n",
+       "               [4223861.15],\n",
+       "               [4223974.55],\n",
+       "               [4224053.95],\n",
+       "               [4224134.35],\n",
+       "               [4224145.25],\n",
+       "               [4224150.45],\n",
+       "               [4224337.95],\n",
+       "               [4224339.75],\n",
+       "               [4224482.45],\n",
+       "               [4224530.85],\n",
+       "               [4224560.55],\n",
+       "               [4224663.75],\n",
+       "               [4224750.15],\n",
+       "               [4224861.65]]))                                         ],\n",
+       "       [(array(['neural16_A-016a'], dtype='<U15'), array([], shape=(0, 1), dtype=uint8))],\n",
+       "       [(array(['neural19_A-019a'], dtype='<U15'), array([[4223262.15],\n",
+       "               [4223935.05],\n",
+       "               [4223950.65],\n",
+       "               [4224276.95],\n",
+       "               [4224353.55],\n",
+       "               [4224569.95],\n",
+       "               [4224612.05],\n",
+       "               [4224867.75]]))                                         ],\n",
+       "       [(array(['neural22_A-022a'], dtype='<U15'), array([[4224278.75]]))],\n",
+       "       [(array(['neural23_A-023a'], dtype='<U15'), array([[4223689.65]]))]],\n",
+       "      dtype=[('name', 'O'), ('timestamps', 'O')])"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "file = loadmat('hbp-d000034_AttentionNetworksInMonkeys_pub/timestamps/SortedByTrial/20180129_SortedByTrial.mat')\n",
+    "the_important_stuff = file['timestamps']\n",
+    "\n",
+    "the_important_stuff[0][1483][2][0][1][0][0] == the_important_stuff[0][-2][2][0][1][0][0]\n",
+    "\n",
+    "the_important_stuff[0][the_important_stuff[0].size-1]\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "f0435ef8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>FocalPointY</th>\n",
+       "      <th>FocalPointX</th>\n",
+       "      <th>FocalDistTo0</th>\n",
+       "      <th>AccuracyPercentage</th>\n",
+       "      <th>StartTime</th>\n",
+       "      <th>StopTime</th>\n",
+       "      <th>TrialLength</th>\n",
+       "      <th>TrialInterval</th>\n",
+       "      <th>spikeCount</th>\n",
+       "      <th>DimConditions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>32.808348</td>\n",
+       "      <td>224.139154</td>\n",
+       "      <td>226.527588</td>\n",
+       "      <td>0.955720</td>\n",
+       "      <td>1480</td>\n",
+       "      <td>3720</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>800</td>\n",
+       "      <td>46013</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>13.467574</td>\n",
+       "      <td>218.205416</td>\n",
+       "      <td>218.620628</td>\n",
+       "      <td>0.960699</td>\n",
+       "      <td>10180</td>\n",
+       "      <td>11390</td>\n",
+       "      <td>1210</td>\n",
+       "      <td>667</td>\n",
+       "      <td>54286</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>27.211317</td>\n",
+       "      <td>-58.495733</td>\n",
+       "      <td>64.515165</td>\n",
+       "      <td>0.937063</td>\n",
+       "      <td>1120</td>\n",
+       "      <td>3360</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>850</td>\n",
+       "      <td>58266</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>16.147651</td>\n",
+       "      <td>-38.221624</td>\n",
+       "      <td>41.492640</td>\n",
+       "      <td>0.894081</td>\n",
+       "      <td>5960</td>\n",
+       "      <td>6470</td>\n",
+       "      <td>510</td>\n",
+       "      <td>650</td>\n",
+       "      <td>78116</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>41.191920</td>\n",
+       "      <td>244.571464</td>\n",
+       "      <td>248.016078</td>\n",
+       "      <td>0.938650</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>3640</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>934</td>\n",
+       "      <td>21511</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>39.608193</td>\n",
+       "      <td>243.013237</td>\n",
+       "      <td>246.219906</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>4720</td>\n",
+       "      <td>580</td>\n",
+       "      <td>733</td>\n",
+       "      <td>46298</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>18.582805</td>\n",
+       "      <td>182.783542</td>\n",
+       "      <td>183.725730</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>1900</td>\n",
+       "      <td>3090</td>\n",
+       "      <td>1190</td>\n",
+       "      <td>833</td>\n",
+       "      <td>67788</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>23.701323</td>\n",
+       "      <td>186.530554</td>\n",
+       "      <td>188.030317</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>2450</td>\n",
+       "      <td>3200</td>\n",
+       "      <td>750</td>\n",
+       "      <td>750</td>\n",
+       "      <td>50927</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>39.832468</td>\n",
+       "      <td>235.268251</td>\n",
+       "      <td>238.616377</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>22840</td>\n",
+       "      <td>25050</td>\n",
+       "      <td>2210</td>\n",
+       "      <td>616</td>\n",
+       "      <td>86330</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>43.786907</td>\n",
+       "      <td>256.412090</td>\n",
+       "      <td>260.123919</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>3690</td>\n",
+       "      <td>6470</td>\n",
+       "      <td>2780</td>\n",
+       "      <td>683</td>\n",
+       "      <td>53002</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>45.635113</td>\n",
+       "      <td>248.164269</td>\n",
+       "      <td>252.325322</td>\n",
+       "      <td>0.978610</td>\n",
+       "      <td>1290</td>\n",
+       "      <td>2940</td>\n",
+       "      <td>1650</td>\n",
+       "      <td>833</td>\n",
+       "      <td>47812</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>24.577486</td>\n",
+       "      <td>183.955470</td>\n",
+       "      <td>185.590053</td>\n",
+       "      <td>0.961832</td>\n",
+       "      <td>28450</td>\n",
+       "      <td>28530</td>\n",
+       "      <td>80</td>\n",
+       "      <td>833</td>\n",
+       "      <td>125811</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>41.107577</td>\n",
+       "      <td>235.581951</td>\n",
+       "      <td>239.141566</td>\n",
+       "      <td>0.780347</td>\n",
+       "      <td>980</td>\n",
+       "      <td>3170</td>\n",
+       "      <td>2190</td>\n",
+       "      <td>750</td>\n",
+       "      <td>12817</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>40.317126</td>\n",
+       "      <td>240.307703</td>\n",
+       "      <td>243.666294</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>14400</td>\n",
+       "      <td>16610</td>\n",
+       "      <td>2210</td>\n",
+       "      <td>883</td>\n",
+       "      <td>25391</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>32.739582</td>\n",
+       "      <td>223.389560</td>\n",
+       "      <td>225.775941</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>2880</td>\n",
+       "      <td>3010</td>\n",
+       "      <td>130</td>\n",
+       "      <td>916</td>\n",
+       "      <td>91255</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>38.709826</td>\n",
+       "      <td>258.147419</td>\n",
+       "      <td>261.033600</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>1050</td>\n",
+       "      <td>3230</td>\n",
+       "      <td>2180</td>\n",
+       "      <td>816</td>\n",
+       "      <td>60496</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>14.809997</td>\n",
+       "      <td>212.029466</td>\n",
+       "      <td>212.546066</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>8610</td>\n",
+       "      <td>10840</td>\n",
+       "      <td>2230</td>\n",
+       "      <td>950</td>\n",
+       "      <td>79544</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>21.313688</td>\n",
+       "      <td>-53.683244</td>\n",
+       "      <td>57.759536</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>6860</td>\n",
+       "      <td>9070</td>\n",
+       "      <td>2210</td>\n",
+       "      <td>916</td>\n",
+       "      <td>80633</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>39.562259</td>\n",
+       "      <td>-72.916738</td>\n",
+       "      <td>82.957959</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>2650</td>\n",
+       "      <td>4850</td>\n",
+       "      <td>2200</td>\n",
+       "      <td>683</td>\n",
+       "      <td>67769</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>240.831892</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>6720</td>\n",
+       "      <td>6840</td>\n",
+       "      <td>120</td>\n",
+       "      <td>900</td>\n",
+       "      <td>87430</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>241.298570</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>1730</td>\n",
+       "      <td>3910</td>\n",
+       "      <td>2180</td>\n",
+       "      <td>866</td>\n",
+       "      <td>37100</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>241.298570</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>3930</td>\n",
+       "      <td>4510</td>\n",
+       "      <td>580</td>\n",
+       "      <td>816</td>\n",
+       "      <td>74896</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    FocalPointY  FocalPointX  FocalDistTo0  AccuracyPercentage  StartTime  \\\n",
+       "0     32.808348   224.139154    226.527588            0.955720       1480   \n",
+       "1     13.467574   218.205416    218.620628            0.960699      10180   \n",
+       "2     27.211317   -58.495733     64.515165            0.937063       1120   \n",
+       "3     16.147651   -38.221624     41.492640            0.894081       5960   \n",
+       "4     41.191920   244.571464    248.016078            0.938650       1400   \n",
+       "5     39.608193   243.013237    246.219906            0.750000       4140   \n",
+       "6     18.582805   182.783542    183.725730            0.750000       1900   \n",
+       "7     23.701323   186.530554    188.030317            0.750000       2450   \n",
+       "8     39.832468   235.268251    238.616377            0.750000      22840   \n",
+       "9     43.786907   256.412090    260.123919            0.750000       3690   \n",
+       "10    45.635113   248.164269    252.325322            0.978610       1290   \n",
+       "11    24.577486   183.955470    185.590053            0.961832      28450   \n",
+       "12    41.107577   235.581951    239.141566            0.780347        980   \n",
+       "13    40.317126   240.307703    243.666294            0.750000      14400   \n",
+       "14    32.739582   223.389560    225.775941            0.750000       2880   \n",
+       "15    38.709826   258.147419    261.033600            0.750000       1050   \n",
+       "16    14.809997   212.029466    212.546066            0.750000       8610   \n",
+       "17    21.313688   -53.683244     57.759536            0.750000       6860   \n",
+       "18    39.562259   -72.916738     82.957959            0.750000       2650   \n",
+       "19    20.000000   240.000000    240.831892            0.750000       6720   \n",
+       "20    25.000000   240.000000    241.298570            0.750000       1730   \n",
+       "21    25.000000   240.000000    241.298570            0.750000       3930   \n",
+       "\n",
+       "    StopTime  TrialLength  TrialInterval  spikeCount  DimConditions  \n",
+       "0       3720         2240            800       46013          False  \n",
+       "1      11390         1210            667       54286           True  \n",
+       "2       3360         2240            850       58266          False  \n",
+       "3       6470          510            650       78116          False  \n",
+       "4       3640         2240            934       21511          False  \n",
+       "5       4720          580            733       46298          False  \n",
+       "6       3090         1190            833       67788          False  \n",
+       "7       3200          750            750       50927          False  \n",
+       "8      25050         2210            616       86330          False  \n",
+       "9       6470         2780            683       53002           True  \n",
+       "10      2940         1650            833       47812           True  \n",
+       "11     28530           80            833      125811          False  \n",
+       "12      3170         2190            750       12817          False  \n",
+       "13     16610         2210            883       25391          False  \n",
+       "14      3010          130            916       91255          False  \n",
+       "15      3230         2180            816       60496          False  \n",
+       "16     10840         2230            950       79544          False  \n",
+       "17      9070         2210            916       80633          False  \n",
+       "18      4850         2200            683       67769          False  \n",
+       "19      6840          120            900       87430          False  \n",
+       "20      3910         2180            866       37100          False  \n",
+       "21      4510          580            816       74896          False  "
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "# THIS CELL IS ABOUT FINALLY CLEANING THE DATA NOW THAT I'VE EXPLORED ITS MANY POSSIBLITIES\n",
+    "# Dear god why is it 1:05 AM\n",
+    "# Nevermind it's 2:13 AM\n",
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "\n",
+    "polished_data = full_data\n",
+    "\n",
+    "\n",
+    "# Focal Point = [leftstim, left+right/2]\n",
+    "focal_point = None\n",
+    "\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    pos1 = (full_data[\"LeftStimulusPosition\"][i])[0][0][0][0][0]\n",
+    "    this_point = [pos1, (((full_data[\"LeftStimulusPosition\"][i])[0][0][1][0][0] + (full_data[\"RightStimulusPosition\"][i])[0][0][1][0][0])/2)]\n",
+    "    this_point_in_a_df = pd.DataFrame([[this_point]])\n",
+    "    focal_point = pd.concat([focal_point, this_point_in_a_df], ignore_index=True, axis=0)\n",
+    "\n",
+    "polished_data = pd.concat([polished_data, focal_point], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'FocalPoint'})\n",
+    "\n",
+    "# oh right. I should probably keep things to one number for analysis. time to do x, y, and distance to 0!\n",
+    "\n",
+    "focal_point_y = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    pos_y = polished_data.FocalPoint[i][0]\n",
+    "    pos_y_in_a_df = pd.DataFrame([pos_y])\n",
+    "    focal_point_y = pd.concat([focal_point_y, pos_y_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, focal_point_y], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'FocalPointY'})\n",
+    "\n",
+    "focal_point_x = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    pos_x = polished_data.FocalPoint[i][1]\n",
+    "    pos_x_in_a_df = pd.DataFrame([pos_x])\n",
+    "    focal_point_x = pd.concat([focal_point_x, pos_x_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, focal_point_x], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'FocalPointX'})\n",
+    "\n",
+    "focal_dist_to_0 = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    foc_0 = math.sqrt(math.pow(polished_data.FocalPointX[i], 2) + math.pow(polished_data.FocalPointY[i], 2))\n",
+    "    foc_0_in_a_df = pd.DataFrame([foc_0])\n",
+    "    focal_dist_to_0 = pd.concat([focal_dist_to_0, foc_0_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, focal_dist_to_0], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'FocalDistTo0'})\n",
+    "\n",
+    "\n",
+    "# Accuracy Percentage. This can be used as a proxy for how much the monkey was paying attention.\n",
+    "\n",
+    "accuracy_percentage = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    \n",
+    "    percentage = 0.75  # Some the data didn't include the number of failures. I'm assuming this is some manner of bug with the data collection, and I'm putting any success rates withouth any failures recorded on the lower end of the scale. Arbitrarily.\n",
+    "    if polished_data.Key0[i].size != 0:\n",
+    "        percentage = (polished_data.Key1[i][0].size / (polished_data.Key1[i][0].size + polished_data.Key0[i].size))\n",
+    "    \n",
+    "    percentage_in_a_df = pd.DataFrame([percentage])\n",
+    "    accuracy_percentage = pd.concat([accuracy_percentage, percentage_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, accuracy_percentage], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'AccuracyPercentage'})\n",
+    "\n",
+    "\n",
+    "# Start and Stop can be used to determine if starting sooner/later affects things\n",
+    "\n",
+    "start = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    start_time = polished_data.Start[i][0][0]\n",
+    "    start_time_in_a_df = pd.DataFrame([start_time])\n",
+    "    start = pd.concat([start, start_time_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, start], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'StartTime'})\n",
+    "\n",
+    "stop = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    stop_time = polished_data.Stop[i][0][0]\n",
+    "    stop_time_in_a_df = pd.DataFrame([stop_time])\n",
+    "    stop = pd.concat([stop, stop_time_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, stop], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'StopTime'})\n",
+    "\n",
+    "\n",
+    "# Also trial length. Stop-start\n",
+    "\n",
+    "polished_data = polished_data.assign(TrialLength = lambda x: (x['StopTime'] - x['StartTime']))\n",
+    "\n",
+    "\n",
+    "# InterTrialInterval\n",
+    "\n",
+    "interval = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    interval_time = polished_data.InterTrialInterval[i][0][0]\n",
+    "    interval_time_in_a_df = pd.DataFrame([interval_time])\n",
+    "    interval = pd.concat([interval, interval_time_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, interval], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'TrialInterval'})\n",
+    "\n",
+    "\n",
+    "# try getting number of spikes? neuron activation?\n",
+    "\n",
+    "spike = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    spike_count = polished_data.spikes[i].size\n",
+    "    spike_count_in_a_df = pd.DataFrame([spike_count])\n",
+    "    spike = pd.concat([spike, spike_count_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, spike], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'spikeCount'})\n",
+    "\n",
+    "\n",
+    "# I dunno man. Whether there's dimming going on or not? I'm really struggling for ideas here.\n",
+    "\n",
+    "dimming = None\n",
+    "for i in range(0, polished_data.shape[0]):\n",
+    "    is_it_dim = polished_data.ResponseTrial[i][0][0] == 1\n",
+    "    is_it_dim_in_a_df = pd.DataFrame([is_it_dim])\n",
+    "    dimming = pd.concat([dimming, is_it_dim_in_a_df], ignore_index=True, axis=0)\n",
+    "polished_data = pd.concat([polished_data, dimming], axis=1)\n",
+    "polished_data = polished_data.rename(columns={0: 'DimConditions'})\n",
+    "\n",
+    "\n",
+    "polished_data.drop(labels=[\"LeftStimulusPosition\", \"RightStimulusPosition\", \"EyeWindows\", \"PhotoEvents\", \"StimEvents\", \"Key0\", \"Key1\", \"dataStart\", \"spikes\", \"analog\", \"digital\", \"photoEventsRhd\", \"photoEventsRhdMSec\", \"Start\", \"Stop\", \"Answer\", \"InterTrialInterval\", \"Condition\", \"ResponseTrial\", \"TrialTiming\", \"PhotoEventsRHD\", \"FocalPoint\"], inplace=True, axis=1)\n",
+    "\n",
+    "polished_data\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "id": "2fa8bc5e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "F-statistic: 17.679743884271545 \n",
+      "P-value: 1.4447885638853998e-19\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>FocalPointY</th>\n",
+       "      <th>FocalPointX</th>\n",
+       "      <th>FocalDistTo0</th>\n",
+       "      <th>AccuracyPercentage</th>\n",
+       "      <th>StartTime</th>\n",
+       "      <th>StopTime</th>\n",
+       "      <th>TrialLength</th>\n",
+       "      <th>TrialInterval</th>\n",
+       "      <th>spikeCount</th>\n",
+       "      <th>DimConditions</th>\n",
+       "      <th>K-means Cluster</th>\n",
+       "      <th>K-NN Cluster</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>45.635113</td>\n",
+       "      <td>248.164269</td>\n",
+       "      <td>252.325322</td>\n",
+       "      <td>0.978610</td>\n",
+       "      <td>1290</td>\n",
+       "      <td>2940</td>\n",
+       "      <td>1650</td>\n",
+       "      <td>833</td>\n",
+       "      <td>47812</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>13.467574</td>\n",
+       "      <td>218.205416</td>\n",
+       "      <td>218.620628</td>\n",
+       "      <td>0.960699</td>\n",
+       "      <td>10180</td>\n",
+       "      <td>11390</td>\n",
+       "      <td>1210</td>\n",
+       "      <td>667</td>\n",
+       "      <td>54286</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>43.786907</td>\n",
+       "      <td>256.412090</td>\n",
+       "      <td>260.123919</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>3690</td>\n",
+       "      <td>6470</td>\n",
+       "      <td>2780</td>\n",
+       "      <td>683</td>\n",
+       "      <td>53002</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>240.831892</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>6720</td>\n",
+       "      <td>6840</td>\n",
+       "      <td>120</td>\n",
+       "      <td>900</td>\n",
+       "      <td>87430</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>14.809997</td>\n",
+       "      <td>212.029466</td>\n",
+       "      <td>212.546066</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>8610</td>\n",
+       "      <td>10840</td>\n",
+       "      <td>2230</td>\n",
+       "      <td>950</td>\n",
+       "      <td>79544</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>38.709826</td>\n",
+       "      <td>258.147419</td>\n",
+       "      <td>261.033600</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>1050</td>\n",
+       "      <td>3230</td>\n",
+       "      <td>2180</td>\n",
+       "      <td>816</td>\n",
+       "      <td>60496</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>32.739582</td>\n",
+       "      <td>223.389560</td>\n",
+       "      <td>225.775941</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>2880</td>\n",
+       "      <td>3010</td>\n",
+       "      <td>130</td>\n",
+       "      <td>916</td>\n",
+       "      <td>91255</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>40.317126</td>\n",
+       "      <td>240.307703</td>\n",
+       "      <td>243.666294</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>14400</td>\n",
+       "      <td>16610</td>\n",
+       "      <td>2210</td>\n",
+       "      <td>883</td>\n",
+       "      <td>25391</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>41.107577</td>\n",
+       "      <td>235.581951</td>\n",
+       "      <td>239.141566</td>\n",
+       "      <td>0.780347</td>\n",
+       "      <td>980</td>\n",
+       "      <td>3170</td>\n",
+       "      <td>2190</td>\n",
+       "      <td>750</td>\n",
+       "      <td>12817</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>24.577486</td>\n",
+       "      <td>183.955470</td>\n",
+       "      <td>185.590053</td>\n",
+       "      <td>0.961832</td>\n",
+       "      <td>28450</td>\n",
+       "      <td>28530</td>\n",
+       "      <td>80</td>\n",
+       "      <td>833</td>\n",
+       "      <td>125811</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>32.808348</td>\n",
+       "      <td>224.139154</td>\n",
+       "      <td>226.527588</td>\n",
+       "      <td>0.955720</td>\n",
+       "      <td>1480</td>\n",
+       "      <td>3720</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>800</td>\n",
+       "      <td>46013</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>39.832468</td>\n",
+       "      <td>235.268251</td>\n",
+       "      <td>238.616377</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>22840</td>\n",
+       "      <td>25050</td>\n",
+       "      <td>2210</td>\n",
+       "      <td>616</td>\n",
+       "      <td>86330</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>23.701323</td>\n",
+       "      <td>186.530554</td>\n",
+       "      <td>188.030317</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>2450</td>\n",
+       "      <td>3200</td>\n",
+       "      <td>750</td>\n",
+       "      <td>750</td>\n",
+       "      <td>50927</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>18.582805</td>\n",
+       "      <td>182.783542</td>\n",
+       "      <td>183.725730</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>1900</td>\n",
+       "      <td>3090</td>\n",
+       "      <td>1190</td>\n",
+       "      <td>833</td>\n",
+       "      <td>67788</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>39.608193</td>\n",
+       "      <td>243.013237</td>\n",
+       "      <td>246.219906</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>4720</td>\n",
+       "      <td>580</td>\n",
+       "      <td>733</td>\n",
+       "      <td>46298</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>41.191920</td>\n",
+       "      <td>244.571464</td>\n",
+       "      <td>248.016078</td>\n",
+       "      <td>0.938650</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>3640</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>934</td>\n",
+       "      <td>21511</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>241.298570</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>1730</td>\n",
+       "      <td>3910</td>\n",
+       "      <td>2180</td>\n",
+       "      <td>866</td>\n",
+       "      <td>37100</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>241.298570</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>3930</td>\n",
+       "      <td>4510</td>\n",
+       "      <td>580</td>\n",
+       "      <td>816</td>\n",
+       "      <td>74896</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>16.147651</td>\n",
+       "      <td>-38.221624</td>\n",
+       "      <td>41.492640</td>\n",
+       "      <td>0.894081</td>\n",
+       "      <td>5960</td>\n",
+       "      <td>6470</td>\n",
+       "      <td>510</td>\n",
+       "      <td>650</td>\n",
+       "      <td>78116</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>21.313688</td>\n",
+       "      <td>-53.683244</td>\n",
+       "      <td>57.759536</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>6860</td>\n",
+       "      <td>9070</td>\n",
+       "      <td>2210</td>\n",
+       "      <td>916</td>\n",
+       "      <td>80633</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>39.562259</td>\n",
+       "      <td>-72.916738</td>\n",
+       "      <td>82.957959</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>2650</td>\n",
+       "      <td>4850</td>\n",
+       "      <td>2200</td>\n",
+       "      <td>683</td>\n",
+       "      <td>67769</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>27.211317</td>\n",
+       "      <td>-58.495733</td>\n",
+       "      <td>64.515165</td>\n",
+       "      <td>0.937063</td>\n",
+       "      <td>1120</td>\n",
+       "      <td>3360</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>850</td>\n",
+       "      <td>58266</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    FocalPointY  FocalPointX  FocalDistTo0  AccuracyPercentage  StartTime  \\\n",
+       "10    45.635113   248.164269    252.325322            0.978610       1290   \n",
+       "1     13.467574   218.205416    218.620628            0.960699      10180   \n",
+       "9     43.786907   256.412090    260.123919            0.750000       3690   \n",
+       "19    20.000000   240.000000    240.831892            0.750000       6720   \n",
+       "16    14.809997   212.029466    212.546066            0.750000       8610   \n",
+       "15    38.709826   258.147419    261.033600            0.750000       1050   \n",
+       "14    32.739582   223.389560    225.775941            0.750000       2880   \n",
+       "13    40.317126   240.307703    243.666294            0.750000      14400   \n",
+       "12    41.107577   235.581951    239.141566            0.780347        980   \n",
+       "11    24.577486   183.955470    185.590053            0.961832      28450   \n",
+       "0     32.808348   224.139154    226.527588            0.955720       1480   \n",
+       "8     39.832468   235.268251    238.616377            0.750000      22840   \n",
+       "7     23.701323   186.530554    188.030317            0.750000       2450   \n",
+       "6     18.582805   182.783542    183.725730            0.750000       1900   \n",
+       "5     39.608193   243.013237    246.219906            0.750000       4140   \n",
+       "4     41.191920   244.571464    248.016078            0.938650       1400   \n",
+       "20    25.000000   240.000000    241.298570            0.750000       1730   \n",
+       "21    25.000000   240.000000    241.298570            0.750000       3930   \n",
+       "3     16.147651   -38.221624     41.492640            0.894081       5960   \n",
+       "17    21.313688   -53.683244     57.759536            0.750000       6860   \n",
+       "18    39.562259   -72.916738     82.957959            0.750000       2650   \n",
+       "2     27.211317   -58.495733     64.515165            0.937063       1120   \n",
+       "\n",
+       "    StopTime  TrialLength  TrialInterval  spikeCount  DimConditions  \\\n",
+       "10      2940         1650            833       47812           True   \n",
+       "1      11390         1210            667       54286           True   \n",
+       "9       6470         2780            683       53002           True   \n",
+       "19      6840          120            900       87430          False   \n",
+       "16     10840         2230            950       79544          False   \n",
+       "15      3230         2180            816       60496          False   \n",
+       "14      3010          130            916       91255          False   \n",
+       "13     16610         2210            883       25391          False   \n",
+       "12      3170         2190            750       12817          False   \n",
+       "11     28530           80            833      125811          False   \n",
+       "0       3720         2240            800       46013          False   \n",
+       "8      25050         2210            616       86330          False   \n",
+       "7       3200          750            750       50927          False   \n",
+       "6       3090         1190            833       67788          False   \n",
+       "5       4720          580            733       46298          False   \n",
+       "4       3640         2240            934       21511          False   \n",
+       "20      3910         2180            866       37100          False   \n",
+       "21      4510          580            816       74896          False   \n",
+       "3       6470          510            650       78116          False   \n",
+       "17      9070         2210            916       80633          False   \n",
+       "18      4850         2200            683       67769          False   \n",
+       "2       3360         2240            850       58266          False   \n",
+       "\n",
+       "    K-means Cluster  K-NN Cluster  \n",
+       "10                0             2  \n",
+       "1                 0             2  \n",
+       "9                 0             2  \n",
+       "19                1             0  \n",
+       "16                1             0  \n",
+       "15                1             0  \n",
+       "14                1             0  \n",
+       "13                1             0  \n",
+       "12                1             0  \n",
+       "11                1             0  \n",
+       "0                 1             0  \n",
+       "8                 1             0  \n",
+       "7                 1             0  \n",
+       "6                 1             0  \n",
+       "5                 1             0  \n",
+       "4                 1             0  \n",
+       "20                1             0  \n",
+       "21                1             0  \n",
+       "3                 2             1  \n",
+       "17                2             1  \n",
+       "18                2             1  \n",
+       "2                 2             1  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Variables</th>\n",
+       "      <th>Coefficients</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FocalPointY</td>\n",
+       "      <td>0.111777</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>FocalPointX</td>\n",
+       "      <td>0.322305</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FocalDistTo0</td>\n",
+       "      <td>-0.706970</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>StartTime</td>\n",
+       "      <td>0.059279</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>StopTime</td>\n",
+       "      <td>0.052678</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>TrialLength</td>\n",
+       "      <td>-0.066036</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>TrialInterval</td>\n",
+       "      <td>0.250926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>spikeCount</td>\n",
+       "      <td>-0.159276</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>DimConditions</td>\n",
+       "      <td>0.152593</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Variables  Coefficients\n",
+       "0    FocalPointY      0.111777\n",
+       "1    FocalPointX      0.322305\n",
+       "2   FocalDistTo0     -0.706970\n",
+       "3      StartTime      0.059279\n",
+       "4       StopTime      0.052678\n",
+       "5    TrialLength     -0.066036\n",
+       "6  TrialInterval      0.250926\n",
+       "7     spikeCount     -0.159276\n",
+       "8  DimConditions      0.152593"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Intercept: 0.933202756996121\n"
+     ]
+    }
+   ],
+   "source": [
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "# THIS CELL IS ABOUT FINALLY FINALLY FINALLY DOING SOME ACTUAL ANALYSIS\n",
+    "# It is 4:29 AM. That means I have exactly four hours to do this data analysis and make the presentation.\n",
+    "# I think I can do this. I just wish I didn't have to.\n",
+    "# -------------------------------------------------------------------------------------------------------------\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "# copy the data \n",
+    "normalized_data = polished_data.copy() \n",
+    "\n",
+    "# gotta turn dimming back into an int for the normalization process\n",
+    "dimming = None\n",
+    "for i in range(0, normalized_data.shape[0]):\n",
+    "    is_it_dim = 0\n",
+    "    if normalized_data['DimConditions'][i]:\n",
+    "        is_it_dim = 1\n",
+    "    is_it_dim_in_a_df = pd.DataFrame([is_it_dim])\n",
+    "    dimming = pd.concat([dimming, is_it_dim_in_a_df], ignore_index=True, axis=0)\n",
+    "normalized_data['DimConditions'] = dimming\n",
+    "  \n",
+    "# apply normalization techniques \n",
+    "for column in normalized_data.columns: \n",
+    "    normalized_data[column] = normalized_data[column]  / normalized_data[column].abs().max() \n",
+    "      \n",
+    "\n",
+    "# making analyzed data. this is just polished data, but i'll keep adding columns to it for the clustering stuff.\n",
+    "analyzed_data = polished_data\n",
+    "\n",
+    "# adding kmeans cluster to analyzed data.\n",
+    "k = 3\n",
+    "kmeans = KMeans(n_clusters = k)\n",
+    "kmeans.fit(normalized_data)\n",
+    "labels = kmeans.labels_\n",
+    "centroids = kmeans.cluster_centers_\n",
+    "\n",
+    "analyzed_data = pd.concat([analyzed_data, pd.DataFrame(labels)], axis=1)\n",
+    "analyzed_data = analyzed_data.rename(columns={0: 'K-means Cluster'})\n",
+    "# The centroids didn't tell me much. Worth a shot.\n",
+    "#print(\"Centroids:\", centroids)\n",
+    "\n",
+    "\n",
+    "# adding knn clustering to analyzed data.\n",
+    "k = 3\n",
+    "nn_cluster = AgglomerativeClustering(n_clusters=k, linkage='ward')\n",
+    "nn_cluster.fit(normalized_data)\n",
+    "labels = nn_cluster.labels_\n",
+    "\n",
+    "analyzed_data = pd.concat([analyzed_data, pd.DataFrame(labels)], axis=1)\n",
+    "analyzed_data = analyzed_data.rename(columns={0: 'K-NN Cluster'})\n",
+    "\n",
+    "\n",
+    "# doing a linear regression with the analyzed data.\n",
+    "linear_model = LinearRegression()\n",
+    "linear_model.fit(X=normalized_data.drop(labels=[\"AccuracyPercentage\"], inplace=False, axis=1), y=normalized_data[\"AccuracyPercentage\"])\n",
+    "coefficients = linear_model.coef_\n",
+    "intercept = linear_model.intercept_\n",
+    "\n",
+    "# making the table for all the coefficients.\n",
+    "df_coefficients = pd.DataFrame(normalized_data.columns.values)\n",
+    "df_coefficients = df_coefficients.rename(columns={0: 'Variables'})\n",
+    "\n",
+    "index_accuracyPercent = df_coefficients[ df_coefficients['Variables'] == 'AccuracyPercentage'].index\n",
+    "df_coefficients.drop(index_accuracyPercent, inplace = True)\n",
+    "df_coefficients = df_coefficients.reset_index()\n",
+    "del df_coefficients['index']\n",
+    "df_coefficients = pd.concat([df_coefficients, pd.DataFrame(coefficients)], axis=1)\n",
+    "df_coefficients = df_coefficients.rename(columns={0: 'Coefficients'})\n",
+    "\n",
+    "\n",
+    "# Why not, let's get some one-way ANOVA in there so I can see just what's statiscally significant here!\n",
+    "f_stat, p_value = f_oneway(normalized_data['FocalPointY'], normalized_data['FocalPointX'], normalized_data['FocalDistTo0'], normalized_data['StartTime'], normalized_data['StopTime'], normalized_data['TrialLength'], normalized_data['TrialInterval'], normalized_data['spikeCount'], normalized_data['DimConditions'])\n",
+    "\n",
+    "\n",
+    "# Actually plotting the line.\n",
+    "\n",
+    "b = intercept\n",
+    "m = \n",
+    "# I can change x around!\n",
+    "\n",
+    "regression_line = m * x + b\n",
+    "\n",
+    "x = df_coefficients\n",
+    "y = polished_data['AccuracyPercentage']\n",
+    "\n",
+    "# Plotting a line plot\n",
+    "plt.plot(x, y, color='skyblue', linewidth=2)\n",
+    "plt.title('Linear Regression')\n",
+    "plt.xlabel('Coefficients')\n",
+    "plt.ylabel('Accuracy Percentage')\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "\n",
+    "print(\"F-statistic:\", f_stat, \"\\nP-value:\", p_value)\n",
+    "display(analyzed_data.sort_values(by=\"K-means Cluster\"))\n",
+    "display(df_coefficients)\n",
+    "print(\"Intercept:\", intercept)\n",
+    "\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}