analysis_workspace.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import librosa\n",
    "import librosa.display\n",
    "import pandas as pd\n",
    "from IPython import display\n",
    "from matplotlib import pyplot\n",
    "\n",
    "\n",
    "from sklearn.ensemble import ExtraTreesClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A simple wrapper class for (1-channel) audio data\n",
    "# data is a 1-D NumPy array containing the data\n",
    "# rate is a number expressing the samples per second\n",
    "class Audio:\n",
    "    def __init__(self, data, rate):\n",
    "        self.data = data\n",
    "        self.rate = rate\n",
    "    def play(self):\n",
    "        return display.Audio(self.data, rate=self.rate)\n",
    "    def plot_wave(self):\n",
    "        librosa.display.waveplot(self.data, sr=self.rate)\n",
    "    def plot_spectrum(self):\n",
    "        n_fft = int(self.rate / 20)\n",
    "        D = librosa.amplitude_to_db(np.abs(librosa.stft(self.data, n_fft)), ref=np.max)\n",
    "        librosa.display.specshow(D, y_axis='linear', sr=self.rate, hop_length=n_fft/4)\n",
    "    @classmethod\n",
    "    def fromfile(cls, fn):\n",
    "        return cls(*librosa.load(fn, sr=None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "datasubdir = 'data/'\n",
    "datadir = os.path.join(os.path.abspath('.'), datasubdir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "subject_names = ['s'+str(i) for i in range(1,10+1)]\n",
    "trial_names_base = [f'{t}_trial{i}' for t in ['downstairs_nowall', 'downstairs_wall', 'upstairs_nowall', 'upstairs_wall']\n",
    "                                    for i in range(1,3)]\n",
    "\n",
    "trial_names = [os.path.join(s, s + '_' + t) \n",
    "               for s in subject_names\n",
    "               for t in trial_names_base]\n",
    "angle_names = [alph[0] + num[0] + '_' + alph[1] + '_' + num[1]  \n",
    "               for alph in [('A', '1'), ('B', '3'), ('C', '5')]\n",
    "               for num in [(str(i),str(45*i)) for i in range(3)]]\n",
    "recording_paths = [os.path.join(datadir, t,a) for t in trial_names \n",
    "                                              for a in angle_names]\n",
    "recording_paths_rel = [(s,t,a) for s in subject_names\n",
    "                               for t in trial_names_base \n",
    "                               for a in angle_names]\n",
    "\n",
    "#print(len(recording_paths_rel) == len(recording_paths))\n",
    "print(*zip(recording_paths_rel, recording_paths))\n",
    "#print(os.listdir(recording_paths[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Credit to Yihui Xiong, 2017, https://github.com/xiongyihui/tdoa/blob/master/gcc_phat.py\n",
    "\n",
    "def gcc_phat(sig, refsig, fs=1, max_tau=None, interp=16):\n",
    "    '''\n",
    "    This function computes the offset between the signal sig and the reference signal refsig\n",
    "    using the Generalized Cross Correlation - Phase Transform (GCC-PHAT)method.\n",
    "    '''\n",
    "    \n",
    "    # make sure the length for the FFT is larger or equal than len(sig) + len(refsig)\n",
    "    n = sig.shape[0] + refsig.shape[0]\n",
    "\n",
    "    # Generalized Cross Correlation Phase Transform\n",
    "    SIG = np.fft.rfft(sig, n=n)\n",
    "    REFSIG = np.fft.rfft(refsig, n=n)\n",
    "    R = SIG * np.conj(REFSIG)\n",
    "\n",
    "    cc = np.fft.irfft(R / np.abs(R), n=(interp * n))\n",
    "\n",
    "    max_shift = int(interp * n / 2)\n",
    "    if max_tau:\n",
    "        max_shift = np.minimum(int(interp * fs * max_tau), max_shift)\n",
    "\n",
    "    cc = np.concatenate((cc[-max_shift:], cc[:max_shift+1]))\n",
    "\n",
    "    # find max cross correlation index\n",
    "    shift = np.argmax(np.abs(cc)) - max_shift\n",
    "\n",
    "    tau = shift / float(interp * fs)\n",
    "    \n",
    "    return tau, cc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "colnames = ['sample', 'trial', 'angle_pos', 'dov',\n",
    "                        *[f'gccphat_{i}_{j}_{d}' for i in range(4) for j in range(i+1,4) for d in ['maxshift', 'auc', 'peakval']],\n",
    "                        *[f'gccphatval_{i}_{j}_{k}' for i in range(4) for j in range(i+1,4) for k in range(23)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_featurized_data(recording_num):\n",
    "    df = pd.DataFrame(columns=colnames)\n",
    "    for pth_ind in range(len(recording_paths)):\n",
    "        for angle in map(lambda i:45*i, range(360//45)):\n",
    "            channel_recordings = [os.path.join(recording_paths[pth_ind], f'recording{recording_num}_{angle}_{i}.wav') for i in range(1,5)]\n",
    "            audio_files = [Audio.fromfile(r) for r in channel_recordings]\n",
    "            four_channels = [a.data for a in audio_files]\n",
    "            data_row = {\n",
    "                'sample': recording_paths_rel[pth_ind][0],\n",
    "                'trial': recording_paths_rel[pth_ind][1],\n",
    "                'angle_pos': recording_paths_rel[pth_ind][2],\n",
    "                'dov': angle \n",
    "            }        \n",
    "            for i in range(4):\n",
    "                for j in range(i+1,4):\n",
    "                    gcc_phat_data = gcc_phat(four_channels[i], four_channels[j], \n",
    "                                          fs = audio_files[0].rate, max_tau=0.236 * 1e-3, interp=1)\n",
    "                    data_row[f'gccphat_{i}_{j}_peakval'] = gcc_phat_data[1][11]\n",
    "                    data_row[f'gccphat_{i}_{j}_auc'] = np.sum(gcc_phat_data[1])\n",
    "                    data_row[f'gccphat_{i}_{j}_maxshift'] = gcc_phat_data[0]\n",
    "                    for k in range(23):\n",
    "                        data_row[f'gccphatval_{i}_{j}_{k}'] = gcc_phat_data[1][k]\n",
    "            data_rows.append(data_row)\n",
    "            df = df.append(data_row, ignore_index=True)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.7/site-packages/ipykernel_launcher.py:17: RuntimeWarning: invalid value encountered in true_divide\n"
     ]
    }
   ],
   "source": [
    "data_rows = []\n",
    "for pth_ind in range(len(recording_paths)):\n",
    "    for angle in map(lambda i:45*i, range(360//45)):\n",
    "        channel_recordings = [os.path.join(recording_paths[pth_ind], f'recording0_{angle}_{i}.wav') for i in range(1,5)]\n",
    "        audio_files = [Audio.fromfile(r) for r in channel_recordings]\n",
    "        four_channels = [a.data for a in audio_files]\n",
    "        data_row = {\n",
    "            'sample': recording_paths_rel[pth_ind][0],\n",
    "            'trial': recording_paths_rel[pth_ind][1],\n",
    "            'angle_pos': recording_paths_rel[pth_ind][2],\n",
    "            'dov': angle \n",
    "        }        \n",
    "        for i in range(4):\n",
    "            for j in range(i+1,4):\n",
    "                gcc_phat_data = gcc_phat(four_channels[i], four_channels[j], \n",
    "                                      fs = audio_files[0].rate, max_tau=0.236 * 1e-3, interp=1)\n",
    "                data_row[f'gccphat_{i}_{j}_peakval'] = gcc_phat_data[1][11]\n",
    "                data_row[f'gccphat_{i}_{j}_auc'] = np.sum(gcc_phat_data[1])\n",
    "                data_row[f'gccphat_{i}_{j}_maxshift'] = gcc_phat_data[0]\n",
    "                for k in range(23):\n",
    "                    data_row[f'gccphatval_{i}_{j}_{k}'] = gcc_phat_data[1][k]\n",
    "        data_rows.append(data_row)\n",
    "        df = df.append(data_row, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>trial</th>\n",
       "      <th>angle_pos</th>\n",
       "      <th>dov</th>\n",
       "      <th>gccphat_0_1_maxshift</th>\n",
       "      <th>gccphat_0_1_auc</th>\n",
       "      <th>gccphat_0_1_peakval</th>\n",
       "      <th>gccphat_0_2_maxshift</th>\n",
       "      <th>gccphat_0_2_auc</th>\n",
       "      <th>gccphat_0_2_peakval</th>\n",
       "      <th>...</th>\n",
       "      <th>gccphatval_2_3_13</th>\n",
       "      <th>gccphatval_2_3_14</th>\n",
       "      <th>gccphatval_2_3_15</th>\n",
       "      <th>gccphatval_2_3_16</th>\n",
       "      <th>gccphatval_2_3_17</th>\n",
       "      <th>gccphatval_2_3_18</th>\n",
       "      <th>gccphatval_2_3_19</th>\n",
       "      <th>gccphatval_2_3_20</th>\n",
       "      <th>gccphatval_2_3_21</th>\n",
       "      <th>gccphatval_2_3_22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.929901</td>\n",
       "      <td>0.918024</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.802662</td>\n",
       "      <td>-0.081439</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000874</td>\n",
       "      <td>0.057902</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.001541</td>\n",
       "      <td>-0.052348</td>\n",
       "      <td>0.000403</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>0.023651</td>\n",
       "      <td>4.840368e-05</td>\n",
       "      <td>0.001163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.935565</td>\n",
       "      <td>0.861144</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.829486</td>\n",
       "      <td>-0.119773</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000171</td>\n",
       "      <td>-0.050401</td>\n",
       "      <td>0.000652</td>\n",
       "      <td>0.000966</td>\n",
       "      <td>0.017136</td>\n",
       "      <td>0.000918</td>\n",
       "      <td>-0.000259</td>\n",
       "      <td>-0.035492</td>\n",
       "      <td>4.432460e-04</td>\n",
       "      <td>0.000769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.977008</td>\n",
       "      <td>0.580438</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.830345</td>\n",
       "      <td>0.062272</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000743</td>\n",
       "      <td>-0.007790</td>\n",
       "      <td>-0.000195</td>\n",
       "      <td>0.001031</td>\n",
       "      <td>0.055236</td>\n",
       "      <td>0.002341</td>\n",
       "      <td>-0.001265</td>\n",
       "      <td>-0.038105</td>\n",
       "      <td>-5.508172e-04</td>\n",
       "      <td>0.000891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.909018</td>\n",
       "      <td>0.372427</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.872800</td>\n",
       "      <td>0.160522</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001413</td>\n",
       "      <td>0.076345</td>\n",
       "      <td>-0.000457</td>\n",
       "      <td>0.001607</td>\n",
       "      <td>0.070554</td>\n",
       "      <td>0.003886</td>\n",
       "      <td>-0.000515</td>\n",
       "      <td>-0.046689</td>\n",
       "      <td>-1.150728e-03</td>\n",
       "      <td>0.001109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.897188</td>\n",
       "      <td>0.428891</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.823948</td>\n",
       "      <td>0.131519</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000334</td>\n",
       "      <td>0.157349</td>\n",
       "      <td>0.002033</td>\n",
       "      <td>0.001508</td>\n",
       "      <td>0.063899</td>\n",
       "      <td>-0.000289</td>\n",
       "      <td>0.000181</td>\n",
       "      <td>-0.036023</td>\n",
       "      <td>9.712151e-04</td>\n",
       "      <td>0.000908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.912079</td>\n",
       "      <td>0.394519</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.853461</td>\n",
       "      <td>0.145651</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000639</td>\n",
       "      <td>0.207072</td>\n",
       "      <td>-0.000717</td>\n",
       "      <td>0.000789</td>\n",
       "      <td>0.081844</td>\n",
       "      <td>0.002312</td>\n",
       "      <td>-0.000746</td>\n",
       "      <td>-0.015713</td>\n",
       "      <td>-4.173674e-04</td>\n",
       "      <td>0.000286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>270</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.945834</td>\n",
       "      <td>0.703730</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.820558</td>\n",
       "      <td>0.046309</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001192</td>\n",
       "      <td>0.165007</td>\n",
       "      <td>0.001008</td>\n",
       "      <td>0.001740</td>\n",
       "      <td>0.006061</td>\n",
       "      <td>0.002051</td>\n",
       "      <td>0.000718</td>\n",
       "      <td>0.045567</td>\n",
       "      <td>3.340538e-04</td>\n",
       "      <td>0.001064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A0_1_0</td>\n",
       "      <td>315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.926344</td>\n",
       "      <td>0.848013</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.834676</td>\n",
       "      <td>-0.007897</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001120</td>\n",
       "      <td>0.154116</td>\n",
       "      <td>0.001274</td>\n",
       "      <td>0.001122</td>\n",
       "      <td>-0.091895</td>\n",
       "      <td>0.000595</td>\n",
       "      <td>0.000989</td>\n",
       "      <td>0.052921</td>\n",
       "      <td>6.801980e-04</td>\n",
       "      <td>0.000992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.947125</td>\n",
       "      <td>-0.123378</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.855856</td>\n",
       "      <td>0.898838</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001165</td>\n",
       "      <td>0.097836</td>\n",
       "      <td>0.001311</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>-0.068905</td>\n",
       "      <td>0.000683</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.008709</td>\n",
       "      <td>1.352598e-03</td>\n",
       "      <td>-0.000853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.954734</td>\n",
       "      <td>-0.111605</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.859415</td>\n",
       "      <td>0.779354</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000457</td>\n",
       "      <td>0.141664</td>\n",
       "      <td>0.001670</td>\n",
       "      <td>-0.000498</td>\n",
       "      <td>-0.076078</td>\n",
       "      <td>0.001355</td>\n",
       "      <td>0.000187</td>\n",
       "      <td>0.029534</td>\n",
       "      <td>1.884021e-03</td>\n",
       "      <td>-0.000281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.951695</td>\n",
       "      <td>0.046971</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.980379</td>\n",
       "      <td>0.522419</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>0.164140</td>\n",
       "      <td>0.000478</td>\n",
       "      <td>0.000071</td>\n",
       "      <td>-0.060488</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.001946</td>\n",
       "      <td>-0.002683</td>\n",
       "      <td>1.014667e-03</td>\n",
       "      <td>-0.000770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.884360</td>\n",
       "      <td>0.222190</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.861113</td>\n",
       "      <td>0.216852</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000355</td>\n",
       "      <td>0.060180</td>\n",
       "      <td>-0.000976</td>\n",
       "      <td>0.000954</td>\n",
       "      <td>0.027566</td>\n",
       "      <td>0.001348</td>\n",
       "      <td>-0.000460</td>\n",
       "      <td>-0.016795</td>\n",
       "      <td>-9.637219e-04</td>\n",
       "      <td>0.001692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.867915</td>\n",
       "      <td>0.377031</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.866923</td>\n",
       "      <td>0.212185</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000138</td>\n",
       "      <td>0.025606</td>\n",
       "      <td>0.000243</td>\n",
       "      <td>0.001620</td>\n",
       "      <td>0.073426</td>\n",
       "      <td>0.001676</td>\n",
       "      <td>-0.000258</td>\n",
       "      <td>-0.063550</td>\n",
       "      <td>-5.236315e-04</td>\n",
       "      <td>0.001572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.917662</td>\n",
       "      <td>0.385869</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.884288</td>\n",
       "      <td>0.296602</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.079627</td>\n",
       "      <td>0.002705</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>-0.001584</td>\n",
       "      <td>-0.000332</td>\n",
       "      <td>0.001249</td>\n",
       "      <td>0.002412</td>\n",
       "      <td>9.883520e-04</td>\n",
       "      <td>0.000232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>270</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.955386</td>\n",
       "      <td>0.028102</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.920986</td>\n",
       "      <td>0.640795</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000900</td>\n",
       "      <td>0.184799</td>\n",
       "      <td>0.000582</td>\n",
       "      <td>0.000624</td>\n",
       "      <td>-0.043321</td>\n",
       "      <td>0.000375</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>-0.033310</td>\n",
       "      <td>7.302421e-04</td>\n",
       "      <td>-0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A1_1_45</td>\n",
       "      <td>315</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.975667</td>\n",
       "      <td>-0.082508</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.862493</td>\n",
       "      <td>0.825232</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001242</td>\n",
       "      <td>0.089379</td>\n",
       "      <td>0.001061</td>\n",
       "      <td>-0.000021</td>\n",
       "      <td>-0.045325</td>\n",
       "      <td>0.000820</td>\n",
       "      <td>0.000888</td>\n",
       "      <td>0.022877</td>\n",
       "      <td>1.302345e-03</td>\n",
       "      <td>0.000674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.890513</td>\n",
       "      <td>-0.065299</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.824137</td>\n",
       "      <td>-0.117823</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000375</td>\n",
       "      <td>0.132145</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.001192</td>\n",
       "      <td>-0.036639</td>\n",
       "      <td>0.000477</td>\n",
       "      <td>0.000675</td>\n",
       "      <td>0.023142</td>\n",
       "      <td>3.682692e-04</td>\n",
       "      <td>0.001597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.924971</td>\n",
       "      <td>-0.010106</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.870766</td>\n",
       "      <td>-0.023087</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001166</td>\n",
       "      <td>0.123614</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000742</td>\n",
       "      <td>-0.007436</td>\n",
       "      <td>-0.000592</td>\n",
       "      <td>-0.000443</td>\n",
       "      <td>0.021185</td>\n",
       "      <td>1.433217e-04</td>\n",
       "      <td>0.000509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.841795</td>\n",
       "      <td>0.135955</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.884580</td>\n",
       "      <td>0.091500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.060639</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000808</td>\n",
       "      <td>-0.023247</td>\n",
       "      <td>0.000693</td>\n",
       "      <td>0.001383</td>\n",
       "      <td>-0.013711</td>\n",
       "      <td>1.291383e-04</td>\n",
       "      <td>0.001060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.849031</td>\n",
       "      <td>0.138992</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.879115</td>\n",
       "      <td>0.133187</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001013</td>\n",
       "      <td>0.086416</td>\n",
       "      <td>0.000545</td>\n",
       "      <td>0.000958</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.002155</td>\n",
       "      <td>-0.000135</td>\n",
       "      <td>-0.035689</td>\n",
       "      <td>-5.835511e-04</td>\n",
       "      <td>0.001971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.865870</td>\n",
       "      <td>0.164935</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.883934</td>\n",
       "      <td>0.132054</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000608</td>\n",
       "      <td>0.073978</td>\n",
       "      <td>-0.000383</td>\n",
       "      <td>0.002956</td>\n",
       "      <td>0.052703</td>\n",
       "      <td>0.001667</td>\n",
       "      <td>-0.000186</td>\n",
       "      <td>-0.049271</td>\n",
       "      <td>9.118195e-04</td>\n",
       "      <td>0.000725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.896869</td>\n",
       "      <td>0.294084</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.826379</td>\n",
       "      <td>0.146214</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000112</td>\n",
       "      <td>0.000419</td>\n",
       "      <td>-0.000400</td>\n",
       "      <td>0.000999</td>\n",
       "      <td>0.051246</td>\n",
       "      <td>0.001014</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>-0.051679</td>\n",
       "      <td>-1.536169e-03</td>\n",
       "      <td>0.000556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>270</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.894287</td>\n",
       "      <td>0.154671</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.850247</td>\n",
       "      <td>0.029518</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001999</td>\n",
       "      <td>0.076275</td>\n",
       "      <td>0.000558</td>\n",
       "      <td>0.000764</td>\n",
       "      <td>-0.054458</td>\n",
       "      <td>-0.000371</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>0.031866</td>\n",
       "      <td>2.731613e-04</td>\n",
       "      <td>0.000397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>A2_1_90</td>\n",
       "      <td>315</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.917764</td>\n",
       "      <td>-0.050326</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.835410</td>\n",
       "      <td>-0.147180</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001096</td>\n",
       "      <td>0.128339</td>\n",
       "      <td>0.000135</td>\n",
       "      <td>0.002145</td>\n",
       "      <td>-0.043048</td>\n",
       "      <td>0.000775</td>\n",
       "      <td>0.000556</td>\n",
       "      <td>0.066971</td>\n",
       "      <td>-5.287918e-04</td>\n",
       "      <td>0.001645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>B0_3_0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.875284</td>\n",
       "      <td>0.688049</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.849480</td>\n",
       "      <td>0.136627</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000329</td>\n",
       "      <td>0.086392</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.001162</td>\n",
       "      <td>-0.023188</td>\n",
       "      <td>0.001656</td>\n",
       "      <td>-0.000202</td>\n",
       "      <td>0.007613</td>\n",
       "      <td>8.189473e-04</td>\n",
       "      <td>0.000269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>B0_3_0</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.874531</td>\n",
       "      <td>0.545602</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.867316</td>\n",
       "      <td>0.172338</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.074789</td>\n",
       "      <td>0.000403</td>\n",
       "      <td>0.000869</td>\n",
       "      <td>0.062188</td>\n",
       "      <td>0.001548</td>\n",
       "      <td>0.000348</td>\n",
       "      <td>-0.062431</td>\n",
       "      <td>4.585071e-04</td>\n",
       "      <td>0.000667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>B0_3_0</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.870044</td>\n",
       "      <td>0.418447</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.783785</td>\n",
       "      <td>0.167466</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000190</td>\n",
       "      <td>0.062536</td>\n",
       "      <td>-0.000416</td>\n",
       "      <td>0.002528</td>\n",
       "      <td>0.089847</td>\n",
       "      <td>0.002254</td>\n",
       "      <td>-0.002606</td>\n",
       "      <td>-0.025775</td>\n",
       "      <td>3.554611e-04</td>\n",
       "      <td>0.001205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>B0_3_0</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.894540</td>\n",
       "      <td>0.407699</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.816419</td>\n",
       "      <td>0.170573</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000700</td>\n",
       "      <td>0.077496</td>\n",
       "      <td>-0.001609</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.089726</td>\n",
       "      <td>0.002435</td>\n",
       "      <td>-0.000842</td>\n",
       "      <td>-0.033414</td>\n",
       "      <td>-9.795341e-04</td>\n",
       "      <td>0.001391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>B0_3_0</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.892784</td>\n",
       "      <td>0.454189</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.904757</td>\n",
       "      <td>0.141140</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000848</td>\n",
       "      <td>0.150892</td>\n",
       "      <td>-0.001231</td>\n",
       "      <td>0.002018</td>\n",
       "      <td>0.048228</td>\n",
       "      <td>0.001441</td>\n",
       "      <td>0.000395</td>\n",
       "      <td>-0.018383</td>\n",
       "      <td>-7.656057e-04</td>\n",
       "      <td>-0.000137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>s1</td>\n",
       "      <td>downstairs_nowall_trial1</td>\n",
       "      <td>B0_3_0</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.892278</td>\n",
       "      <td>0.335615</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.884726</td>\n",
       "      <td>0.097802</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000368</td>\n",
       "      <td>0.230681</td>\n",
       "      <td>-0.000685</td>\n",
       "      <td>0.001316</td>\n",
       "      <td>0.072298</td>\n",
       "      <td>0.000575</td>\n",
       "      <td>-0.001199</td>\n",
       "      <td>-0.059592</td>\n",
       "      <td>-3.531962e-04</td>\n",
       "      <td>0.001077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5730</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>B2_3_90</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.891225</td>\n",
       "      <td>0.182299</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.841411</td>\n",
       "      <td>0.184566</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001742</td>\n",
       "      <td>0.208267</td>\n",
       "      <td>0.003613</td>\n",
       "      <td>-0.000855</td>\n",
       "      <td>0.133911</td>\n",
       "      <td>-0.001427</td>\n",
       "      <td>0.000675</td>\n",
       "      <td>-0.009164</td>\n",
       "      <td>-6.260932e-04</td>\n",
       "      <td>-0.000399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5731</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>B2_3_90</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.861779</td>\n",
       "      <td>0.098425</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.821269</td>\n",
       "      <td>0.160785</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000665</td>\n",
       "      <td>0.197413</td>\n",
       "      <td>0.000653</td>\n",
       "      <td>0.002533</td>\n",
       "      <td>0.147140</td>\n",
       "      <td>0.002518</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.002590</td>\n",
       "      <td>-3.290737e-06</td>\n",
       "      <td>0.001587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5732</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>B2_3_90</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.843999</td>\n",
       "      <td>0.112911</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.819726</td>\n",
       "      <td>0.106455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001921</td>\n",
       "      <td>0.195712</td>\n",
       "      <td>0.001090</td>\n",
       "      <td>0.002427</td>\n",
       "      <td>0.158721</td>\n",
       "      <td>0.002766</td>\n",
       "      <td>0.000874</td>\n",
       "      <td>-0.010034</td>\n",
       "      <td>1.242751e-03</td>\n",
       "      <td>0.000591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5733</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>B2_3_90</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.844237</td>\n",
       "      <td>0.142553</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.802542</td>\n",
       "      <td>0.133002</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001041</td>\n",
       "      <td>0.196691</td>\n",
       "      <td>-0.001079</td>\n",
       "      <td>0.002485</td>\n",
       "      <td>0.139642</td>\n",
       "      <td>0.001960</td>\n",
       "      <td>-0.000012</td>\n",
       "      <td>-0.015811</td>\n",
       "      <td>-1.338409e-03</td>\n",
       "      <td>0.001187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>B2_3_90</td>\n",
       "      <td>270</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.869158</td>\n",
       "      <td>0.169351</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.835308</td>\n",
       "      <td>0.162291</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001950</td>\n",
       "      <td>0.212438</td>\n",
       "      <td>0.001845</td>\n",
       "      <td>0.001557</td>\n",
       "      <td>0.133072</td>\n",
       "      <td>0.003273</td>\n",
       "      <td>-0.000664</td>\n",
       "      <td>-0.006657</td>\n",
       "      <td>1.954927e-04</td>\n",
       "      <td>0.000842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5735</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>B2_3_90</td>\n",
       "      <td>315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.860566</td>\n",
       "      <td>0.184889</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.833249</td>\n",
       "      <td>0.135619</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001706</td>\n",
       "      <td>0.164463</td>\n",
       "      <td>0.000825</td>\n",
       "      <td>0.001765</td>\n",
       "      <td>0.133451</td>\n",
       "      <td>0.000462</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.004472</td>\n",
       "      <td>-1.216845e-04</td>\n",
       "      <td>0.002088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5736</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.895624</td>\n",
       "      <td>0.413795</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.831548</td>\n",
       "      <td>0.109332</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001307</td>\n",
       "      <td>0.117132</td>\n",
       "      <td>-0.000367</td>\n",
       "      <td>0.001725</td>\n",
       "      <td>0.096628</td>\n",
       "      <td>0.002750</td>\n",
       "      <td>-0.001694</td>\n",
       "      <td>0.025926</td>\n",
       "      <td>-1.198643e-03</td>\n",
       "      <td>0.002439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5737</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.877928</td>\n",
       "      <td>0.344392</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.808702</td>\n",
       "      <td>0.129562</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000156</td>\n",
       "      <td>0.125754</td>\n",
       "      <td>0.000434</td>\n",
       "      <td>0.003020</td>\n",
       "      <td>0.101371</td>\n",
       "      <td>0.003428</td>\n",
       "      <td>0.000624</td>\n",
       "      <td>0.028226</td>\n",
       "      <td>-2.101146e-03</td>\n",
       "      <td>0.002325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5738</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.886251</td>\n",
       "      <td>0.227372</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.840036</td>\n",
       "      <td>0.137144</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001006</td>\n",
       "      <td>0.189255</td>\n",
       "      <td>0.002231</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.107632</td>\n",
       "      <td>0.002250</td>\n",
       "      <td>-0.000521</td>\n",
       "      <td>0.014774</td>\n",
       "      <td>-1.987700e-04</td>\n",
       "      <td>0.000621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5739</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.870151</td>\n",
       "      <td>0.247919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.818674</td>\n",
       "      <td>0.180427</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001114</td>\n",
       "      <td>0.196343</td>\n",
       "      <td>-0.000558</td>\n",
       "      <td>0.002615</td>\n",
       "      <td>0.104265</td>\n",
       "      <td>0.003575</td>\n",
       "      <td>-0.002276</td>\n",
       "      <td>0.011805</td>\n",
       "      <td>-1.947071e-03</td>\n",
       "      <td>0.003493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5740</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.862833</td>\n",
       "      <td>0.266054</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.827080</td>\n",
       "      <td>0.164702</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000331</td>\n",
       "      <td>0.180768</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.002483</td>\n",
       "      <td>0.120643</td>\n",
       "      <td>0.003662</td>\n",
       "      <td>0.001240</td>\n",
       "      <td>0.008303</td>\n",
       "      <td>-1.491404e-03</td>\n",
       "      <td>0.002088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5741</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.876033</td>\n",
       "      <td>0.299203</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.806717</td>\n",
       "      <td>0.166860</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000690</td>\n",
       "      <td>0.161591</td>\n",
       "      <td>-0.002073</td>\n",
       "      <td>0.003002</td>\n",
       "      <td>0.114553</td>\n",
       "      <td>0.006001</td>\n",
       "      <td>-0.000431</td>\n",
       "      <td>0.022662</td>\n",
       "      <td>-3.601443e-03</td>\n",
       "      <td>0.001424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5742</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>270</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.874377</td>\n",
       "      <td>0.309893</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.811610</td>\n",
       "      <td>0.142339</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002294</td>\n",
       "      <td>0.135094</td>\n",
       "      <td>0.001685</td>\n",
       "      <td>0.001386</td>\n",
       "      <td>0.099182</td>\n",
       "      <td>0.002703</td>\n",
       "      <td>-0.001267</td>\n",
       "      <td>0.019940</td>\n",
       "      <td>-1.274109e-03</td>\n",
       "      <td>0.001319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5743</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C0_5_0</td>\n",
       "      <td>315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.866919</td>\n",
       "      <td>0.380830</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.819863</td>\n",
       "      <td>0.108353</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000779</td>\n",
       "      <td>0.121170</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.003442</td>\n",
       "      <td>0.110396</td>\n",
       "      <td>0.004356</td>\n",
       "      <td>-0.001718</td>\n",
       "      <td>0.032437</td>\n",
       "      <td>-1.564598e-03</td>\n",
       "      <td>0.003360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5744</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.855114</td>\n",
       "      <td>0.088145</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.806183</td>\n",
       "      <td>0.268035</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003370</td>\n",
       "      <td>0.234945</td>\n",
       "      <td>0.000384</td>\n",
       "      <td>0.000456</td>\n",
       "      <td>0.105736</td>\n",
       "      <td>0.001046</td>\n",
       "      <td>0.001357</td>\n",
       "      <td>-0.004785</td>\n",
       "      <td>-8.752670e-05</td>\n",
       "      <td>0.002286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5745</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.867810</td>\n",
       "      <td>0.124181</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.832840</td>\n",
       "      <td>0.241622</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003987</td>\n",
       "      <td>0.247006</td>\n",
       "      <td>0.005476</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.097859</td>\n",
       "      <td>0.000352</td>\n",
       "      <td>0.001826</td>\n",
       "      <td>0.021682</td>\n",
       "      <td>1.545940e-03</td>\n",
       "      <td>-0.000393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5746</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.875728</td>\n",
       "      <td>0.158934</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.837810</td>\n",
       "      <td>0.203361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>0.208127</td>\n",
       "      <td>0.002283</td>\n",
       "      <td>0.002728</td>\n",
       "      <td>0.130089</td>\n",
       "      <td>0.004513</td>\n",
       "      <td>-0.001843</td>\n",
       "      <td>-0.002577</td>\n",
       "      <td>-6.202315e-06</td>\n",
       "      <td>0.000459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5747</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.870905</td>\n",
       "      <td>0.157944</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.821256</td>\n",
       "      <td>0.179693</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.233258</td>\n",
       "      <td>0.001506</td>\n",
       "      <td>0.002230</td>\n",
       "      <td>0.110158</td>\n",
       "      <td>0.000798</td>\n",
       "      <td>-0.000684</td>\n",
       "      <td>0.011563</td>\n",
       "      <td>1.275005e-03</td>\n",
       "      <td>0.002120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5748</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.851940</td>\n",
       "      <td>0.146423</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.844394</td>\n",
       "      <td>0.200923</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.214707</td>\n",
       "      <td>0.000280</td>\n",
       "      <td>0.004047</td>\n",
       "      <td>0.126569</td>\n",
       "      <td>0.003655</td>\n",
       "      <td>-0.001906</td>\n",
       "      <td>-0.010808</td>\n",
       "      <td>1.298668e-05</td>\n",
       "      <td>0.002591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5749</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.855333</td>\n",
       "      <td>0.172792</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.840523</td>\n",
       "      <td>0.194769</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001342</td>\n",
       "      <td>0.196577</td>\n",
       "      <td>0.001427</td>\n",
       "      <td>0.003447</td>\n",
       "      <td>0.102796</td>\n",
       "      <td>0.001596</td>\n",
       "      <td>-0.002203</td>\n",
       "      <td>0.008053</td>\n",
       "      <td>-2.694256e-03</td>\n",
       "      <td>0.004980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5750</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>270</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.844096</td>\n",
       "      <td>0.159330</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.806154</td>\n",
       "      <td>0.214704</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004131</td>\n",
       "      <td>0.210582</td>\n",
       "      <td>0.001847</td>\n",
       "      <td>0.001289</td>\n",
       "      <td>0.081878</td>\n",
       "      <td>0.002807</td>\n",
       "      <td>0.000703</td>\n",
       "      <td>0.019562</td>\n",
       "      <td>-1.809024e-04</td>\n",
       "      <td>0.001816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5751</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C1_5_45</td>\n",
       "      <td>315</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.870543</td>\n",
       "      <td>0.157410</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.842710</td>\n",
       "      <td>0.230754</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002157</td>\n",
       "      <td>0.202407</td>\n",
       "      <td>0.003152</td>\n",
       "      <td>0.000978</td>\n",
       "      <td>0.075004</td>\n",
       "      <td>0.000385</td>\n",
       "      <td>0.000720</td>\n",
       "      <td>0.022411</td>\n",
       "      <td>1.857774e-03</td>\n",
       "      <td>-0.000071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5752</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.853627</td>\n",
       "      <td>0.163218</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.808473</td>\n",
       "      <td>0.189900</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002372</td>\n",
       "      <td>0.252402</td>\n",
       "      <td>0.002920</td>\n",
       "      <td>0.001277</td>\n",
       "      <td>0.090960</td>\n",
       "      <td>0.000770</td>\n",
       "      <td>0.000467</td>\n",
       "      <td>0.013880</td>\n",
       "      <td>1.537674e-04</td>\n",
       "      <td>-0.000264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5753</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.873932</td>\n",
       "      <td>0.144311</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.846221</td>\n",
       "      <td>0.179742</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001371</td>\n",
       "      <td>0.218149</td>\n",
       "      <td>0.002904</td>\n",
       "      <td>0.000611</td>\n",
       "      <td>0.139301</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.002224</td>\n",
       "      <td>-0.008339</td>\n",
       "      <td>-8.315967e-07</td>\n",
       "      <td>0.000458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5754</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>90</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.879163</td>\n",
       "      <td>0.171213</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.840707</td>\n",
       "      <td>0.180564</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000702</td>\n",
       "      <td>0.206356</td>\n",
       "      <td>0.003896</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.106299</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>-0.001675</td>\n",
       "      <td>0.014337</td>\n",
       "      <td>1.615724e-03</td>\n",
       "      <td>0.001053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5755</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>135</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.857919</td>\n",
       "      <td>0.175195</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.831850</td>\n",
       "      <td>0.147013</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003173</td>\n",
       "      <td>0.234129</td>\n",
       "      <td>0.002955</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>-0.000108</td>\n",
       "      <td>0.001492</td>\n",
       "      <td>-0.006560</td>\n",
       "      <td>3.520353e-03</td>\n",
       "      <td>-0.000462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5756</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>180</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.824420</td>\n",
       "      <td>0.149706</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.800224</td>\n",
       "      <td>0.145395</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.188461</td>\n",
       "      <td>0.001892</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>0.131756</td>\n",
       "      <td>0.001590</td>\n",
       "      <td>0.000508</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>1.447338e-03</td>\n",
       "      <td>0.001046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5757</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>225</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.849930</td>\n",
       "      <td>0.137060</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.807234</td>\n",
       "      <td>0.140276</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002880</td>\n",
       "      <td>0.178562</td>\n",
       "      <td>0.002998</td>\n",
       "      <td>0.000969</td>\n",
       "      <td>0.111268</td>\n",
       "      <td>0.000741</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>0.034045</td>\n",
       "      <td>1.687843e-04</td>\n",
       "      <td>0.000035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5758</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>270</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.869610</td>\n",
       "      <td>0.129437</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.840994</td>\n",
       "      <td>0.152063</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001670</td>\n",
       "      <td>0.238013</td>\n",
       "      <td>0.002935</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.138061</td>\n",
       "      <td>0.002836</td>\n",
       "      <td>0.000815</td>\n",
       "      <td>0.012540</td>\n",
       "      <td>1.754867e-04</td>\n",
       "      <td>0.000875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5759</th>\n",
       "      <td>s10</td>\n",
       "      <td>upstairs_wall_trial2</td>\n",
       "      <td>C2_5_90</td>\n",
       "      <td>315</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.864247</td>\n",
       "      <td>0.141720</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.824107</td>\n",
       "      <td>0.131711</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004200</td>\n",
       "      <td>0.229020</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>0.000271</td>\n",
       "      <td>0.128029</td>\n",
       "      <td>0.001672</td>\n",
       "      <td>0.002171</td>\n",
       "      <td>-0.009500</td>\n",
       "      <td>5.606753e-04</td>\n",
       "      <td>0.000204</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5760 rows × 160 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sample                     trial angle_pos  dov  gccphat_0_1_maxshift  \\\n",
       "0        s1  downstairs_nowall_trial1    A0_1_0    0              0.000000   \n",
       "1        s1  downstairs_nowall_trial1    A0_1_0   45              0.000000   \n",
       "2        s1  downstairs_nowall_trial1    A0_1_0   90              0.000000   \n",
       "3        s1  downstairs_nowall_trial1    A0_1_0  135              0.000000   \n",
       "4        s1  downstairs_nowall_trial1    A0_1_0  180              0.000000   \n",
       "5        s1  downstairs_nowall_trial1    A0_1_0  225              0.000000   \n",
       "6        s1  downstairs_nowall_trial1    A0_1_0  270              0.000000   \n",
       "7        s1  downstairs_nowall_trial1    A0_1_0  315              0.000000   \n",
       "8        s1  downstairs_nowall_trial1   A1_1_45    0              0.000063   \n",
       "9        s1  downstairs_nowall_trial1   A1_1_45   45              0.000063   \n",
       "10       s1  downstairs_nowall_trial1   A1_1_45   90              0.000063   \n",
       "11       s1  downstairs_nowall_trial1   A1_1_45  135              0.000063   \n",
       "12       s1  downstairs_nowall_trial1   A1_1_45  180              0.000000   \n",
       "13       s1  downstairs_nowall_trial1   A1_1_45  225              0.000000   \n",
       "14       s1  downstairs_nowall_trial1   A1_1_45  270              0.000063   \n",
       "15       s1  downstairs_nowall_trial1   A1_1_45  315              0.000063   \n",
       "16       s1  downstairs_nowall_trial1   A2_1_90    0              0.000125   \n",
       "17       s1  downstairs_nowall_trial1   A2_1_90   45              0.000125   \n",
       "18       s1  downstairs_nowall_trial1   A2_1_90   90              0.000063   \n",
       "19       s1  downstairs_nowall_trial1   A2_1_90  135              0.000063   \n",
       "20       s1  downstairs_nowall_trial1   A2_1_90  180              0.000063   \n",
       "21       s1  downstairs_nowall_trial1   A2_1_90  225              0.000063   \n",
       "22       s1  downstairs_nowall_trial1   A2_1_90  270              0.000125   \n",
       "23       s1  downstairs_nowall_trial1   A2_1_90  315              0.000125   \n",
       "24       s1  downstairs_nowall_trial1    B0_3_0    0              0.000000   \n",
       "25       s1  downstairs_nowall_trial1    B0_3_0   45              0.000000   \n",
       "26       s1  downstairs_nowall_trial1    B0_3_0   90              0.000000   \n",
       "27       s1  downstairs_nowall_trial1    B0_3_0  135              0.000000   \n",
       "28       s1  downstairs_nowall_trial1    B0_3_0  180              0.000000   \n",
       "29       s1  downstairs_nowall_trial1    B0_3_0  225              0.000000   \n",
       "...     ...                       ...       ...  ...                   ...   \n",
       "5730    s10      upstairs_wall_trial2   B2_3_90   90              0.000063   \n",
       "5731    s10      upstairs_wall_trial2   B2_3_90  135              0.000063   \n",
       "5732    s10      upstairs_wall_trial2   B2_3_90  180              0.000063   \n",
       "5733    s10      upstairs_wall_trial2   B2_3_90  225              0.000063   \n",
       "5734    s10      upstairs_wall_trial2   B2_3_90  270             -0.000063   \n",
       "5735    s10      upstairs_wall_trial2   B2_3_90  315              0.000000   \n",
       "5736    s10      upstairs_wall_trial2    C0_5_0    0              0.000000   \n",
       "5737    s10      upstairs_wall_trial2    C0_5_0   45              0.000000   \n",
       "5738    s10      upstairs_wall_trial2    C0_5_0   90              0.000000   \n",
       "5739    s10      upstairs_wall_trial2    C0_5_0  135              0.000000   \n",
       "5740    s10      upstairs_wall_trial2    C0_5_0  180              0.000000   \n",
       "5741    s10      upstairs_wall_trial2    C0_5_0  225              0.000000   \n",
       "5742    s10      upstairs_wall_trial2    C0_5_0  270              0.000000   \n",
       "5743    s10      upstairs_wall_trial2    C0_5_0  315              0.000000   \n",
       "5744    s10      upstairs_wall_trial2   C1_5_45    0              0.000063   \n",
       "5745    s10      upstairs_wall_trial2   C1_5_45   45              0.000063   \n",
       "5746    s10      upstairs_wall_trial2   C1_5_45   90              0.000063   \n",
       "5747    s10      upstairs_wall_trial2   C1_5_45  135              0.000063   \n",
       "5748    s10      upstairs_wall_trial2   C1_5_45  180              0.000063   \n",
       "5749    s10      upstairs_wall_trial2   C1_5_45  225              0.000063   \n",
       "5750    s10      upstairs_wall_trial2   C1_5_45  270              0.000063   \n",
       "5751    s10      upstairs_wall_trial2   C1_5_45  315              0.000063   \n",
       "5752    s10      upstairs_wall_trial2   C2_5_90    0              0.000063   \n",
       "5753    s10      upstairs_wall_trial2   C2_5_90   45              0.000063   \n",
       "5754    s10      upstairs_wall_trial2   C2_5_90   90              0.000063   \n",
       "5755    s10      upstairs_wall_trial2   C2_5_90  135              0.000063   \n",
       "5756    s10      upstairs_wall_trial2   C2_5_90  180              0.000063   \n",
       "5757    s10      upstairs_wall_trial2   C2_5_90  225              0.000063   \n",
       "5758    s10      upstairs_wall_trial2   C2_5_90  270             -0.000063   \n",
       "5759    s10      upstairs_wall_trial2   C2_5_90  315             -0.000063   \n",
       "\n",
       "      gccphat_0_1_auc  gccphat_0_1_peakval  gccphat_0_2_maxshift  \\\n",
       "0            0.929901             0.918024             -0.000125   \n",
       "1            0.935565             0.861144             -0.000125   \n",
       "2            0.977008             0.580438             -0.000063   \n",
       "3            0.909018             0.372427             -0.000063   \n",
       "4            0.897188             0.428891             -0.000063   \n",
       "5            0.912079             0.394519             -0.000125   \n",
       "6            0.945834             0.703730             -0.000125   \n",
       "7            0.926344             0.848013             -0.000125   \n",
       "8            0.947125            -0.123378              0.000000   \n",
       "9            0.954734            -0.111605              0.000000   \n",
       "10           0.951695             0.046971              0.000000   \n",
       "11           0.884360             0.222190              0.000063   \n",
       "12           0.867915             0.377031              0.000000   \n",
       "13           0.917662             0.385869              0.000000   \n",
       "14           0.955386             0.028102              0.000000   \n",
       "15           0.975667            -0.082508              0.000000   \n",
       "16           0.890513            -0.065299              0.000125   \n",
       "17           0.924971            -0.010106              0.000125   \n",
       "18           0.841795             0.135955              0.000125   \n",
       "19           0.849031             0.138992              0.000125   \n",
       "20           0.865870             0.164935              0.000125   \n",
       "21           0.896869             0.294084              0.000063   \n",
       "22           0.894287             0.154671              0.000125   \n",
       "23           0.917764            -0.050326              0.000125   \n",
       "24           0.875284             0.688049             -0.000125   \n",
       "25           0.874531             0.545602             -0.000125   \n",
       "26           0.870044             0.418447             -0.000125   \n",
       "27           0.894540             0.407699             -0.000125   \n",
       "28           0.892784             0.454189             -0.000125   \n",
       "29           0.892278             0.335615             -0.000125   \n",
       "...               ...                  ...                   ...   \n",
       "5730         0.891225             0.182299             -0.000125   \n",
       "5731         0.861779             0.098425              0.000125   \n",
       "5732         0.843999             0.112911              0.000125   \n",
       "5733         0.844237             0.142553              0.000125   \n",
       "5734         0.869158             0.169351              0.000125   \n",
       "5735         0.860566             0.184889              0.000125   \n",
       "5736         0.895624             0.413795             -0.000125   \n",
       "5737         0.877928             0.344392             -0.000125   \n",
       "5738         0.886251             0.227372             -0.000125   \n",
       "5739         0.870151             0.247919              0.000000   \n",
       "5740         0.862833             0.266054             -0.000125   \n",
       "5741         0.876033             0.299203             -0.000125   \n",
       "5742         0.874377             0.309893             -0.000125   \n",
       "5743         0.866919             0.380830             -0.000125   \n",
       "5744         0.855114             0.088145              0.000000   \n",
       "5745         0.867810             0.124181              0.000000   \n",
       "5746         0.875728             0.158934              0.000000   \n",
       "5747         0.870905             0.157944              0.000000   \n",
       "5748         0.851940             0.146423              0.000000   \n",
       "5749         0.855333             0.172792              0.000000   \n",
       "5750         0.844096             0.159330              0.000000   \n",
       "5751         0.870543             0.157410              0.000000   \n",
       "5752         0.853627             0.163218              0.000125   \n",
       "5753         0.873932             0.144311              0.000125   \n",
       "5754         0.879163             0.171213              0.000125   \n",
       "5755         0.857919             0.175195             -0.000125   \n",
       "5756         0.824420             0.149706              0.000125   \n",
       "5757         0.849930             0.137060              0.000125   \n",
       "5758         0.869610             0.129437              0.000125   \n",
       "5759         0.864247             0.141720              0.000125   \n",
       "\n",
       "      gccphat_0_2_auc  gccphat_0_2_peakval        ...          \\\n",
       "0            0.802662            -0.081439        ...           \n",
       "1            0.829486            -0.119773        ...           \n",
       "2            0.830345             0.062272        ...           \n",
       "3            0.872800             0.160522        ...           \n",
       "4            0.823948             0.131519        ...           \n",
       "5            0.853461             0.145651        ...           \n",
       "6            0.820558             0.046309        ...           \n",
       "7            0.834676            -0.007897        ...           \n",
       "8            0.855856             0.898838        ...           \n",
       "9            0.859415             0.779354        ...           \n",
       "10           0.980379             0.522419        ...           \n",
       "11           0.861113             0.216852        ...           \n",
       "12           0.866923             0.212185        ...           \n",
       "13           0.884288             0.296602        ...           \n",
       "14           0.920986             0.640795        ...           \n",
       "15           0.862493             0.825232        ...           \n",
       "16           0.824137            -0.117823        ...           \n",
       "17           0.870766            -0.023087        ...           \n",
       "18           0.884580             0.091500        ...           \n",
       "19           0.879115             0.133187        ...           \n",
       "20           0.883934             0.132054        ...           \n",
       "21           0.826379             0.146214        ...           \n",
       "22           0.850247             0.029518        ...           \n",
       "23           0.835410            -0.147180        ...           \n",
       "24           0.849480             0.136627        ...           \n",
       "25           0.867316             0.172338        ...           \n",
       "26           0.783785             0.167466        ...           \n",
       "27           0.816419             0.170573        ...           \n",
       "28           0.904757             0.141140        ...           \n",
       "29           0.884726             0.097802        ...           \n",
       "...               ...                  ...        ...           \n",
       "5730         0.841411             0.184566        ...           \n",
       "5731         0.821269             0.160785        ...           \n",
       "5732         0.819726             0.106455        ...           \n",
       "5733         0.802542             0.133002        ...           \n",
       "5734         0.835308             0.162291        ...           \n",
       "5735         0.833249             0.135619        ...           \n",
       "5736         0.831548             0.109332        ...           \n",
       "5737         0.808702             0.129562        ...           \n",
       "5738         0.840036             0.137144        ...           \n",
       "5739         0.818674             0.180427        ...           \n",
       "5740         0.827080             0.164702        ...           \n",
       "5741         0.806717             0.166860        ...           \n",
       "5742         0.811610             0.142339        ...           \n",
       "5743         0.819863             0.108353        ...           \n",
       "5744         0.806183             0.268035        ...           \n",
       "5745         0.832840             0.241622        ...           \n",
       "5746         0.837810             0.203361        ...           \n",
       "5747         0.821256             0.179693        ...           \n",
       "5748         0.844394             0.200923        ...           \n",
       "5749         0.840523             0.194769        ...           \n",
       "5750         0.806154             0.214704        ...           \n",
       "5751         0.842710             0.230754        ...           \n",
       "5752         0.808473             0.189900        ...           \n",
       "5753         0.846221             0.179742        ...           \n",
       "5754         0.840707             0.180564        ...           \n",
       "5755         0.831850             0.147013        ...           \n",
       "5756         0.800224             0.145395        ...           \n",
       "5757         0.807234             0.140276        ...           \n",
       "5758         0.840994             0.152063        ...           \n",
       "5759         0.824107             0.131711        ...           \n",
       "\n",
       "      gccphatval_2_3_13  gccphatval_2_3_14  gccphatval_2_3_15  \\\n",
       "0              0.000874           0.057902           0.000011   \n",
       "1              0.000171          -0.050401           0.000652   \n",
       "2             -0.000743          -0.007790          -0.000195   \n",
       "3             -0.001413           0.076345          -0.000457   \n",
       "4             -0.000334           0.157349           0.002033   \n",
       "5             -0.000639           0.207072          -0.000717   \n",
       "6              0.001192           0.165007           0.001008   \n",
       "7              0.001120           0.154116           0.001274   \n",
       "8              0.001165           0.097836           0.001311   \n",
       "9              0.000457           0.141664           0.001670   \n",
       "10            -0.000106           0.164140           0.000478   \n",
       "11             0.000355           0.060180          -0.000976   \n",
       "12            -0.000138           0.025606           0.000243   \n",
       "13             0.000449           0.079627           0.002705   \n",
       "14             0.000900           0.184799           0.000582   \n",
       "15             0.001242           0.089379           0.001061   \n",
       "16             0.000375           0.132145           0.000220   \n",
       "17             0.001166           0.123614           0.000222   \n",
       "18             0.000413           0.060639           0.000284   \n",
       "19            -0.001013           0.086416           0.000545   \n",
       "20            -0.000608           0.073978          -0.000383   \n",
       "21            -0.000112           0.000419          -0.000400   \n",
       "22            -0.001999           0.076275           0.000558   \n",
       "23             0.001096           0.128339           0.000135   \n",
       "24            -0.000329           0.086392           0.000637   \n",
       "25             0.000474           0.074789           0.000403   \n",
       "26            -0.000190           0.062536          -0.000416   \n",
       "27            -0.000700           0.077496          -0.001609   \n",
       "28             0.000848           0.150892          -0.001231   \n",
       "29             0.000368           0.230681          -0.000685   \n",
       "...                 ...                ...                ...   \n",
       "5730           0.001742           0.208267           0.003613   \n",
       "5731          -0.000665           0.197413           0.000653   \n",
       "5732           0.001921           0.195712           0.001090   \n",
       "5733           0.001041           0.196691          -0.001079   \n",
       "5734           0.001950           0.212438           0.001845   \n",
       "5735          -0.001706           0.164463           0.000825   \n",
       "5736          -0.001307           0.117132          -0.000367   \n",
       "5737           0.000156           0.125754           0.000434   \n",
       "5738           0.001006           0.189255           0.002231   \n",
       "5739          -0.001114           0.196343          -0.000558   \n",
       "5740           0.000331           0.180768           0.000217   \n",
       "5741           0.000690           0.161591          -0.002073   \n",
       "5742           0.002294           0.135094           0.001685   \n",
       "5743          -0.000779           0.121170           0.000699   \n",
       "5744           0.003370           0.234945           0.000384   \n",
       "5745           0.003987           0.247006           0.005476   \n",
       "5746           0.000705           0.208127           0.002283   \n",
       "5747          -0.000215           0.233258           0.001506   \n",
       "5748           0.000621           0.214707           0.000280   \n",
       "5749          -0.001342           0.196577           0.001427   \n",
       "5750           0.004131           0.210582           0.001847   \n",
       "5751           0.002157           0.202407           0.003152   \n",
       "5752           0.002372           0.252402           0.002920   \n",
       "5753           0.001371           0.218149           0.002904   \n",
       "5754           0.000702           0.206356           0.003896   \n",
       "5755           0.003173           0.234129           0.002955   \n",
       "5756           0.000621           0.188461           0.001892   \n",
       "5757           0.002880           0.178562           0.002998   \n",
       "5758           0.001670           0.238013           0.002935   \n",
       "5759           0.004200           0.229020           0.002841   \n",
       "\n",
       "      gccphatval_2_3_16  gccphatval_2_3_17  gccphatval_2_3_18  \\\n",
       "0              0.001541          -0.052348           0.000403   \n",
       "1              0.000966           0.017136           0.000918   \n",
       "2              0.001031           0.055236           0.002341   \n",
       "3              0.001607           0.070554           0.003886   \n",
       "4              0.001508           0.063899          -0.000289   \n",
       "5              0.000789           0.081844           0.002312   \n",
       "6              0.001740           0.006061           0.002051   \n",
       "7              0.001122          -0.091895           0.000595   \n",
       "8              0.000044          -0.068905           0.000683   \n",
       "9             -0.000498          -0.076078           0.001355   \n",
       "10             0.000071          -0.060488           0.000548   \n",
       "11             0.000954           0.027566           0.001348   \n",
       "12             0.001620           0.073426           0.001676   \n",
       "13             0.001232          -0.001584          -0.000332   \n",
       "14             0.000624          -0.043321           0.000375   \n",
       "15            -0.000021          -0.045325           0.000820   \n",
       "16             0.001192          -0.036639           0.000477   \n",
       "17             0.000742          -0.007436          -0.000592   \n",
       "18             0.000808          -0.023247           0.000693   \n",
       "19             0.000958           0.002487           0.002155   \n",
       "20             0.002956           0.052703           0.001667   \n",
       "21             0.000999           0.051246           0.001014   \n",
       "22             0.000764          -0.054458          -0.000371   \n",
       "23             0.002145          -0.043048           0.000775   \n",
       "24             0.001162          -0.023188           0.001656   \n",
       "25             0.000869           0.062188           0.001548   \n",
       "26             0.002528           0.089847           0.002254   \n",
       "27             0.001190           0.089726           0.002435   \n",
       "28             0.002018           0.048228           0.001441   \n",
       "29             0.001316           0.072298           0.000575   \n",
       "...                 ...                ...                ...   \n",
       "5730          -0.000855           0.133911          -0.001427   \n",
       "5731           0.002533           0.147140           0.002518   \n",
       "5732           0.002427           0.158721           0.002766   \n",
       "5733           0.002485           0.139642           0.001960   \n",
       "5734           0.001557           0.133072           0.003273   \n",
       "5735           0.001765           0.133451           0.000462   \n",
       "5736           0.001725           0.096628           0.002750   \n",
       "5737           0.003020           0.101371           0.003428   \n",
       "5738           0.000420           0.107632           0.002250   \n",
       "5739           0.002615           0.104265           0.003575   \n",
       "5740           0.002483           0.120643           0.003662   \n",
       "5741           0.003002           0.114553           0.006001   \n",
       "5742           0.001386           0.099182           0.002703   \n",
       "5743           0.003442           0.110396           0.004356   \n",
       "5744           0.000456           0.105736           0.001046   \n",
       "5745           0.000054           0.097859           0.000352   \n",
       "5746           0.002728           0.130089           0.004513   \n",
       "5747           0.002230           0.110158           0.000798   \n",
       "5748           0.004047           0.126569           0.003655   \n",
       "5749           0.003447           0.102796           0.001596   \n",
       "5750           0.001289           0.081878           0.002807   \n",
       "5751           0.000978           0.075004           0.000385   \n",
       "5752           0.001277           0.090960           0.000770   \n",
       "5753           0.000611           0.139301           0.000040   \n",
       "5754           0.000029           0.106299           0.000325   \n",
       "5755           0.000405           0.086957          -0.000108   \n",
       "5756           0.001979           0.131756           0.001590   \n",
       "5757           0.000969           0.111268           0.000741   \n",
       "5758           0.001225           0.138061           0.002836   \n",
       "5759           0.000271           0.128029           0.001672   \n",
       "\n",
       "      gccphatval_2_3_19  gccphatval_2_3_20  gccphatval_2_3_21  \\\n",
       "0              0.000849           0.023651       4.840368e-05   \n",
       "1             -0.000259          -0.035492       4.432460e-04   \n",
       "2             -0.001265          -0.038105      -5.508172e-04   \n",
       "3             -0.000515          -0.046689      -1.150728e-03   \n",
       "4              0.000181          -0.036023       9.712151e-04   \n",
       "5             -0.000746          -0.015713      -4.173674e-04   \n",
       "6              0.000718           0.045567       3.340538e-04   \n",
       "7              0.000989           0.052921       6.801980e-04   \n",
       "8              0.000548           0.008709       1.352598e-03   \n",
       "9              0.000187           0.029534       1.884021e-03   \n",
       "10             0.001946          -0.002683       1.014667e-03   \n",
       "11            -0.000460          -0.016795      -9.637219e-04   \n",
       "12            -0.000258          -0.063550      -5.236315e-04   \n",
       "13             0.001249           0.002412       9.883520e-04   \n",
       "14             0.001083          -0.033310       7.302421e-04   \n",
       "15             0.000888           0.022877       1.302345e-03   \n",
       "16             0.000675           0.023142       3.682692e-04   \n",
       "17            -0.000443           0.021185       1.433217e-04   \n",
       "18             0.001383          -0.013711       1.291383e-04   \n",
       "19            -0.000135          -0.035689      -5.835511e-04   \n",
       "20            -0.000186          -0.049271       9.118195e-04   \n",
       "21             0.000048          -0.051679      -1.536169e-03   \n",
       "22             0.000037           0.031866       2.731613e-04   \n",
       "23             0.000556           0.066971      -5.287918e-04   \n",
       "24            -0.000202           0.007613       8.189473e-04   \n",
       "25             0.000348          -0.062431       4.585071e-04   \n",
       "26            -0.002606          -0.025775       3.554611e-04   \n",
       "27            -0.000842          -0.033414      -9.795341e-04   \n",
       "28             0.000395          -0.018383      -7.656057e-04   \n",
       "29            -0.001199          -0.059592      -3.531962e-04   \n",
       "...                 ...                ...                ...   \n",
       "5730           0.000675          -0.009164      -6.260932e-04   \n",
       "5731           0.000116           0.002590      -3.290737e-06   \n",
       "5732           0.000874          -0.010034       1.242751e-03   \n",
       "5733          -0.000012          -0.015811      -1.338409e-03   \n",
       "5734          -0.000664          -0.006657       1.954927e-04   \n",
       "5735           0.000319           0.004472      -1.216845e-04   \n",
       "5736          -0.001694           0.025926      -1.198643e-03   \n",
       "5737           0.000624           0.028226      -2.101146e-03   \n",
       "5738          -0.000521           0.014774      -1.987700e-04   \n",
       "5739          -0.002276           0.011805      -1.947071e-03   \n",
       "5740           0.001240           0.008303      -1.491404e-03   \n",
       "5741          -0.000431           0.022662      -3.601443e-03   \n",
       "5742          -0.001267           0.019940      -1.274109e-03   \n",
       "5743          -0.001718           0.032437      -1.564598e-03   \n",
       "5744           0.001357          -0.004785      -8.752670e-05   \n",
       "5745           0.001826           0.021682       1.545940e-03   \n",
       "5746          -0.001843          -0.002577      -6.202315e-06   \n",
       "5747          -0.000684           0.011563       1.275005e-03   \n",
       "5748          -0.001906          -0.010808       1.298668e-05   \n",
       "5749          -0.002203           0.008053      -2.694256e-03   \n",
       "5750           0.000703           0.019562      -1.809024e-04   \n",
       "5751           0.000720           0.022411       1.857774e-03   \n",
       "5752           0.000467           0.013880       1.537674e-04   \n",
       "5753           0.002224          -0.008339      -8.315967e-07   \n",
       "5754          -0.001675           0.014337       1.615724e-03   \n",
       "5755           0.001492          -0.006560       3.520353e-03   \n",
       "5756           0.000508          -0.009092       1.447338e-03   \n",
       "5757           0.001440           0.034045       1.687843e-04   \n",
       "5758           0.000815           0.012540       1.754867e-04   \n",
       "5759           0.002171          -0.009500       5.606753e-04   \n",
       "\n",
       "      gccphatval_2_3_22  \n",
       "0              0.001163  \n",
       "1              0.000769  \n",
       "2              0.000891  \n",
       "3              0.001109  \n",
       "4              0.000908  \n",
       "5              0.000286  \n",
       "6              0.001064  \n",
       "7              0.000992  \n",
       "8             -0.000853  \n",
       "9             -0.000281  \n",
       "10            -0.000770  \n",
       "11             0.001692  \n",
       "12             0.001572  \n",
       "13             0.000232  \n",
       "14            -0.000002  \n",
       "15             0.000674  \n",
       "16             0.001597  \n",
       "17             0.000509  \n",
       "18             0.001060  \n",
       "19             0.001971  \n",
       "20             0.000725  \n",
       "21             0.000556  \n",
       "22             0.000397  \n",
       "23             0.001645  \n",
       "24             0.000269  \n",
       "25             0.000667  \n",
       "26             0.001205  \n",
       "27             0.001391  \n",
       "28            -0.000137  \n",
       "29             0.001077  \n",
       "...                 ...  \n",
       "5730          -0.000399  \n",
       "5731           0.001587  \n",
       "5732           0.000591  \n",
       "5733           0.001187  \n",
       "5734           0.000842  \n",
       "5735           0.002088  \n",
       "5736           0.002439  \n",
       "5737           0.002325  \n",
       "5738           0.000621  \n",
       "5739           0.003493  \n",
       "5740           0.002088  \n",
       "5741           0.001424  \n",
       "5742           0.001319  \n",
       "5743           0.003360  \n",
       "5744           0.002286  \n",
       "5745          -0.000393  \n",
       "5746           0.000459  \n",
       "5747           0.002120  \n",
       "5748           0.002591  \n",
       "5749           0.004980  \n",
       "5750           0.001816  \n",
       "5751          -0.000071  \n",
       "5752          -0.000264  \n",
       "5753           0.000458  \n",
       "5754           0.001053  \n",
       "5755          -0.000462  \n",
       "5756           0.001046  \n",
       "5757           0.000035  \n",
       "5758           0.000875  \n",
       "5759           0.000204  \n",
       "\n",
       "[5760 rows x 160 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-72413124d3b8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'data/featurized_data.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined"
     ]
    }
   ],
   "source": [
    "df.to_csv('data/featurized_data.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/featurized_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "recordings_of_interest_0 = [os.path.join(recording_paths[0], f'recording0_0_{i}.wav') for i in range(1,5)]\n",
    "audio_files_0 = [Audio.fromfile(r) for r in recordings_of_interest_0]\n",
    "four_channels_0 = [a.data for a in audio_files_0]\n",
    "gcc_phat_data_0 = [gcc_phat(four_channels_0[i],four_channels_0[j], fs = audio_files_0[0].rate, max_tau=0.236 * 1e-3, interp=1)\n",
    "     for i in range(len(four_channels_0))\n",
    "     for j in range(i+1,len(four_channels_0))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(len(gcc_phat_data_0)):\n",
    "    pyplot.plot(gcc_phat_data_0[i][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_df = df.loc[:,list(map(lambda c: c not in ['sample', 'trial', 'angle_pos', 'dov'] and not(c.startswith(\"Unnamed\")), list(df.columns)))]\n",
    "X = X_df.values\n",
    "y_df = df.loc[:,\"dov\"]\n",
    "y_df = y_df.map(lambda x: int(x in [0,45,90,270,315]))\n",
    "y = y_df.values\n",
    "X[np.isnan(X)] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5760,)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExtraTreesClassifier(n_estimators=1000)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tc = ExtraTreesClassifier(n_estimators=1000)\n",
    "tc.fit(X,y)\n",
    "#tc_fitted = BaggingClassifier(tc).fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z = tc.predict(X) - y\n",
    "(Z.T @ Z)/Z.size #training error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'get_featurized_data' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-ecaef8b79701>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mget_featurized_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'get_featurized_data' is not defined"
     ]
    }
   ],
   "source": [
    "test_data=get_featurized_data(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_data.to_csv('data/test_data.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_data = pd.read_csv('data/test_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_data = test_data.loc[:, list(map(lambda c: not(c.startswith(\"Unnamed\")), test_data.columns))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_df_t = test_data.loc[:,list(map(lambda c: c not in ['sample', 'trial', 'angle_pos', 'dov'], list(test_data.columns)))]\n",
    "Xt = X_df_t.values\n",
    "y_df_t = test_data.loc[:,\"dov\"]\n",
    "y_df_t = y_df_t.map(lambda x: int(x in [0,45,90,270,315]))\n",
    "yt = y_df_t.values\n",
    "Xt[np.isnan(Xt)] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['gccphat_0_1_maxshift', 'gccphat_0_1_auc', 'gccphat_0_1_peakval',\n",
       "       'gccphat_0_2_maxshift', 'gccphat_0_2_auc', 'gccphat_0_2_peakval',\n",
       "       'gccphat_0_3_maxshift', 'gccphat_0_3_auc', 'gccphat_0_3_peakval',\n",
       "       'gccphat_1_2_maxshift',\n",
       "       ...\n",
       "       'gccphatval_2_3_13', 'gccphatval_2_3_14', 'gccphatval_2_3_15',\n",
       "       'gccphatval_2_3_16', 'gccphatval_2_3_17', 'gccphatval_2_3_18',\n",
       "       'gccphatval_2_3_19', 'gccphatval_2_3_20', 'gccphatval_2_3_21',\n",
       "       'gccphatval_2_3_22'],\n",
       "      dtype='object', length=156)"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_df_t.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1638888888888889"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Zt = (tc.predict(Xt) - yt)\n",
    "(Zt.T @ Zt) / Zt.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df2 = df.loc[:,\"dov\"]\n",
    "y_df2 = y_df2.map(lambda x: int(x in [0,45,315]))\n",
    "y2 = y_df2.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df_t = test_data.loc[:,\"dov\"]\n",
    "y_df_t = y_df_t.map(lambda x: int(x in [0,45,315]))\n",
    "yt2 = y_df_t.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExtraTreesClassifier(n_estimators=1000)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tc2 = ExtraTreesClassifier(n_estimators=1000)\n",
    "tc2.fit(X,y2)\n",
    "#tc2_fitted = BaggingClassifier(tc2).fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z = tc2.predict(X) - y2\n",
    "(Z.T @ Z)/Z.size #training error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.13923611111111112"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Zt = (tc2.predict(Xt) - yt2)\n",
    "(Zt.T @ Zt) / Zt.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('data/fitted_classifier_45.pkl', 'wb') as f:\n",
    "    pickle.dump(tc2, f)\n",
    "with open('data/fitted_classifier_90.pkl', 'wb') as f:\n",
    "    pickle.dump(tc, f)"
   ]
  }
 ],
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