2744 lines
598 KiB
Plaintext
2744 lines
598 KiB
Plaintext
{
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"cells": [
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{
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||
"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"%load_ext autoreload\n",
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"%autoreload 2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"19:14:03 [I] klustakwik KlustaKwik2 version 0.2.6\n"
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]
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}
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],
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"source": [
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"import os\n",
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"import expipe\n",
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"import pathlib\n",
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"import numpy as np\n",
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"import spatial_maps.stats as stats\n",
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"import septum_mec\n",
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"import septum_mec.analysis.data_processing as dp\n",
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"import septum_mec.analysis.registration\n",
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"import head_direction.head as head\n",
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"import spatial_maps as sp\n",
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"import speed_cells.speed as spd\n",
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"import re\n",
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"import joblib\n",
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"import multiprocessing\n",
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"import shutil\n",
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"import psutil\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib\n",
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"import seaborn as sns\n",
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"from distutils.dir_util import copy_tree\n",
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"from neo import SpikeTrain\n",
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"import scipy\n",
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"\n",
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"from tqdm import tqdm_notebook as tqdm\n",
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"from tqdm._tqdm_notebook import tqdm_notebook\n",
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"tqdm_notebook.pandas()\n",
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"\n",
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"from spike_statistics.core import permutation_resampling\n",
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"\n",
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"from spikewaveform.core import calculate_waveform_features_from_template, cluster_waveform_features\n",
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"\n",
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"from septum_mec.analysis.plotting import violinplot"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"plt.rc('axes', titlesize=12)\n",
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"plt.rcParams.update({\n",
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" 'font.size': 12, \n",
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" 'figure.figsize': (6, 4), \n",
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" 'figure.dpi': 150\n",
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"})\n",
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"\n",
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"output_path = pathlib.Path(\"output\") / \"stimulus-spike-lfp-response\"\n",
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"(output_path / \"statistics\").mkdir(exist_ok=True, parents=True)\n",
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"(output_path / \"figures\").mkdir(exist_ok=True, parents=True)\n",
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"output_path.mkdir(exist_ok=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"data_loader = dp.Data()\n",
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"actions = data_loader.actions\n",
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"project = data_loader.project"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"identification_action = actions['identify-neurons']\n",
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"sessions = pd.read_csv(identification_action.data_path('sessions'))\n",
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"units = pd.read_csv(identification_action.data_path('units'))\n",
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"session_units = pd.merge(sessions, units, on='action')"
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]
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},
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{
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||
"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"lfp_action = actions['stimulus-spike-lfp-response']\n",
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||
"lfp_results = pd.read_csv(lfp_action.data_path('results'))"
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]
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},
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{
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||
"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"# lfp_results has old unit id's but correct on (action, unit_name, channel_group)\n",
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"lfp_results = lfp_results.drop('unit_id', axis=1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"statistics_action = actions['calculate-statistics']\n",
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||
"shuffling = actions['shuffling']\n",
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||
"\n",
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||
"statistics_results = pd.read_csv(statistics_action.data_path('results'))\n",
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||
"statistics_results = session_units.merge(statistics_results, how='left')\n",
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||
"quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))\n",
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||
"action_columns = ['action', 'channel_group', 'unit_name']\n",
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||
"data = pd.merge(statistics_results, quantiles_95, on=action_columns, suffixes=(\"\", \"_threshold\"))"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 9,
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"data['unit_day'] = data.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 10,
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"data = data.merge(lfp_results, how='left')"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 11,
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"waveform_action = actions['waveform-analysis']\n",
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||
"waveform_results = pd.read_csv(waveform_action.data_path('results')).drop('template', axis=1)"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 12,
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"data = data.merge(waveform_results, how='left')"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 13,
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||
"metadata": {},
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||
"outputs": [],
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"source": [
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||
"colors = ['#1b9e77','#d95f02','#7570b3','#e7298a']\n",
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||
"labels = ['Baseline I', '11 Hz', 'Baseline II', '30 Hz']\n",
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||
"queries = ['baseline and Hz11', 'frequency==11', 'baseline and Hz30', 'frequency==30']"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 14,
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
|
||
"data.bs = data.bs.astype(bool)"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
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||
"execution_count": 15,
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||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
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||
"output_type": "stream",
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||
"text": [
|
||
"Number of gridcells 225\n"
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||
]
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||
}
|
||
],
|
||
"source": [
|
||
"grid_query = 'gridness > gridness_threshold and information_rate > information_rate_threshold'\n",
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||
"sessions_above_threshold = data.query(grid_query)\n",
|
||
"print(\"Number of gridcells\", len(sessions_above_threshold))\n",
|
||
"# print(\"Number of animals\", len(sessions_above_threshold.groupby(['entity'])))"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 16,
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"gridcell_sessions = data[data.unit_day.isin(sessions_above_threshold.unit_day.values)]"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 17,
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||
"metadata": {},
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||
"outputs": [
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||
{
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"data": {
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" <th></th>\n",
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|
||
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||
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||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
" <th>35</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.247266</td>\n",
|
||
" <td>0.570104</td>\n",
|
||
" <td>3.365674</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>39</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.284542</td>\n",
|
||
" <td>0.644111</td>\n",
|
||
" <td>17.471520</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>40</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.259920</td>\n",
|
||
" <td>0.581698</td>\n",
|
||
" <td>5.891739</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>42</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.263630</td>\n",
|
||
" <td>0.596746</td>\n",
|
||
" <td>13.436847</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>44</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.281399</td>\n",
|
||
" <td>0.607354</td>\n",
|
||
" <td>17.446704</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>46</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.285816</td>\n",
|
||
" <td>0.603160</td>\n",
|
||
" <td>7.914246</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.279177</td>\n",
|
||
" <td>0.585152</td>\n",
|
||
" <td>10.840470</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>49</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.282336</td>\n",
|
||
" <td>0.711705</td>\n",
|
||
" <td>5.890705</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>54</th>\n",
|
||
" <td>1839-060619-3</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1839</td>\n",
|
||
" <td>11.0</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>ms</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>stim i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>10.995334</td>\n",
|
||
" <td>11.259054</td>\n",
|
||
" <td>0.263719</td>\n",
|
||
" <td>0.143591</td>\n",
|
||
" <td>0.270286</td>\n",
|
||
" <td>0.573804</td>\n",
|
||
" <td>14.025342</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>57</th>\n",
|
||
" <td>1834-150319-3</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1834</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline ii</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.277867</td>\n",
|
||
" <td>0.588852</td>\n",
|
||
" <td>17.162446</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>76</th>\n",
|
||
" <td>1834-120319-4</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1834</td>\n",
|
||
" <td>30.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>ms</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>stim ii</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>30.136513</td>\n",
|
||
" <td>30.450445</td>\n",
|
||
" <td>0.313932</td>\n",
|
||
" <td>0.178995</td>\n",
|
||
" <td>0.285028</td>\n",
|
||
" <td>0.578245</td>\n",
|
||
" <td>34.841257</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>87</th>\n",
|
||
" <td>1849-280219-4</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1849</td>\n",
|
||
" <td>30.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>ms</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>stim ii</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>30.178205</td>\n",
|
||
" <td>30.439063</td>\n",
|
||
" <td>0.260858</td>\n",
|
||
" <td>0.102743</td>\n",
|
||
" <td>0.272793</td>\n",
|
||
" <td>0.570844</td>\n",
|
||
" <td>10.825754</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>106</th>\n",
|
||
" <td>1849-110319-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1849</td>\n",
|
||
" <td>11.0</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>ms</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>stim i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>10.998382</td>\n",
|
||
" <td>11.225055</td>\n",
|
||
" <td>0.226673</td>\n",
|
||
" <td>0.070224</td>\n",
|
||
" <td>0.230947</td>\n",
|
||
" <td>0.561223</td>\n",
|
||
" <td>2.339767</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>124</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.271262</td>\n",
|
||
" <td>0.615002</td>\n",
|
||
" <td>2.868000</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>125</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.307694</td>\n",
|
||
" <td>0.659653</td>\n",
|
||
" <td>6.912052</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>126</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.267708</td>\n",
|
||
" <td>0.630543</td>\n",
|
||
" <td>4.229867</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>128</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.289100</td>\n",
|
||
" <td>0.673221</td>\n",
|
||
" <td>16.735961</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>129</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.290402</td>\n",
|
||
" <td>0.650772</td>\n",
|
||
" <td>25.974728</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>131</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.272160</td>\n",
|
||
" <td>0.620429</td>\n",
|
||
" <td>14.686236</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>132</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.241405</td>\n",
|
||
" <td>0.595513</td>\n",
|
||
" <td>18.657578</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>134</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.269911</td>\n",
|
||
" <td>0.609574</td>\n",
|
||
" <td>3.106903</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>135</th>\n",
|
||
" <td>1833-010719-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.273069</td>\n",
|
||
" <td>0.651265</td>\n",
|
||
" <td>6.213807</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1154</th>\n",
|
||
" <td>1839-120619-3</td>\n",
|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline ii</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.273572</td>\n",
|
||
" <td>0.611548</td>\n",
|
||
" <td>5.407135</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1155</th>\n",
|
||
" <td>1834-110319-5</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1834</td>\n",
|
||
" <td>11.0</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>mecl</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>stim i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>10.981120</td>\n",
|
||
" <td>11.242957</td>\n",
|
||
" <td>0.261837</td>\n",
|
||
" <td>0.170881</td>\n",
|
||
" <td>0.276394</td>\n",
|
||
" <td>0.585645</td>\n",
|
||
" <td>27.008837</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1156</th>\n",
|
||
" <td>1834-110319-5</td>\n",
|
||
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|
||
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|
||
" <td>11.0</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>mecl</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>stim i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>11.010395</td>\n",
|
||
" <td>11.204906</td>\n",
|
||
" <td>0.194511</td>\n",
|
||
" <td>0.065052</td>\n",
|
||
" <td>0.249700</td>\n",
|
||
" <td>0.569364</td>\n",
|
||
" <td>18.304313</td>\n",
|
||
" <td>True</td>\n",
|
||
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|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1174</th>\n",
|
||
" <td>1839-200619-2</td>\n",
|
||
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|
||
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|
||
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|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>ms</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <td>11.199671</td>\n",
|
||
" <td>0.175703</td>\n",
|
||
" <td>0.041580</td>\n",
|
||
" <td>0.249357</td>\n",
|
||
" <td>0.517805</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1184</th>\n",
|
||
" <td>1833-260619-3</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
" <td>0.594526</td>\n",
|
||
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|
||
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|
||
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|
||
" <td>1.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
" <td>0.277528</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1186</th>\n",
|
||
" <td>1833-260619-3</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
" <td>0.571337</td>\n",
|
||
" <td>3.425185</td>\n",
|
||
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|
||
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|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1189</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>False</td>\n",
|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
" <td>0.576271</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1191</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
" <td>0.248665</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1193</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
" <td>0.636957</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1194</th>\n",
|
||
" <td>1833-260619-3</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1197</th>\n",
|
||
" <td>1833-260619-3</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
" <td>0.592306</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1199</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
" <td>0.615988</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1202</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>False</td>\n",
|
||
" <td>baseline ii</td>\n",
|
||
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|
||
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||
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||
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||
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||
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|
||
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||
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|
||
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||
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||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
" <tr>\n",
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
" <tr>\n",
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
" <tr>\n",
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
" <tr>\n",
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
" <tr>\n",
|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
"</table>\n",
|
||
"<p>271 rows × 67 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" action baseline entity frequency i ii session \\\n",
|
||
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|
||
"124 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"125 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"126 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"128 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"129 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"131 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"132 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"134 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"135 1833-010719-1 True 1833 NaN True False 1 \n",
|
||
"... ... ... ... ... ... ... ... \n",
|
||
"1154 1839-120619-3 True 1839 NaN False True 3 \n",
|
||
"1155 1834-110319-5 False 1834 11.0 True False 5 \n",
|
||
"1156 1834-110319-5 False 1834 11.0 True False 5 \n",
|
||
"1174 1839-200619-2 False 1839 11.0 True False 2 \n",
|
||
"1184 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1185 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1186 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1189 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1191 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1193 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1194 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1197 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1199 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1202 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1204 1833-260619-3 True 1833 NaN False True 3 \n",
|
||
"1208 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1214 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1215 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1217 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1218 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1219 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1220 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1221 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1223 1833-200619-3 True 1833 NaN False True 3 \n",
|
||
"1255 1833-010719-2 False 1833 11.0 True False 2 \n",
|
||
"1257 1833-010719-2 False 1833 11.0 True False 2 \n",
|
||
"1263 1833-010719-2 False 1833 11.0 True False 2 \n",
|
||
"1264 1833-010719-2 False 1833 11.0 True False 2 \n",
|
||
"1268 1833-010719-2 False 1833 11.0 True False 2 \n",
|
||
"1275 1833-010719-2 False 1833 11.0 True False 2 \n",
|
||
"\n",
|
||
" stim_location stimulated tag ... stim_half_f1 stim_half_f2 \\\n",
|
||
"17 ms True stim ii ... 30.173035 30.443743 \n",
|
||
"19 ms True stim ii ... 30.128480 30.460705 \n",
|
||
"21 ms True stim ii ... 30.188571 30.437126 \n",
|
||
"29 ms True stim ii ... 30.155404 30.445467 \n",
|
||
"30 ms True stim ii ... 30.195374 30.437554 \n",
|
||
"31 ms True stim ii ... 30.195640 30.437892 \n",
|
||
"33 NaN False baseline i ... NaN NaN \n",
|
||
"34 NaN False baseline i ... NaN NaN \n",
|
||
"35 NaN False baseline i ... NaN NaN \n",
|
||
"39 NaN False baseline i ... NaN NaN \n",
|
||
"40 NaN False baseline i ... NaN NaN \n",
|
||
"42 NaN False baseline i ... NaN NaN \n",
|
||
"44 NaN False baseline i ... NaN NaN \n",
|
||
"46 NaN False baseline i ... NaN NaN \n",
|
||
"47 NaN False baseline i ... NaN NaN \n",
|
||
"49 NaN False baseline i ... NaN NaN \n",
|
||
"54 ms True stim i ... 10.995334 11.259054 \n",
|
||
"57 NaN False baseline ii ... NaN NaN \n",
|
||
"76 ms True stim ii ... 30.136513 30.450445 \n",
|
||
"87 ms True stim ii ... 30.178205 30.439063 \n",
|
||
"106 ms True stim i ... 10.998382 11.225055 \n",
|
||
"124 NaN False baseline i ... NaN NaN \n",
|
||
"125 NaN False baseline i ... NaN NaN \n",
|
||
"126 NaN False baseline i ... NaN NaN \n",
|
||
"128 NaN False baseline i ... NaN NaN \n",
|
||
"129 NaN False baseline i ... NaN NaN \n",
|
||
"131 NaN False baseline i ... NaN NaN \n",
|
||
"132 NaN False baseline i ... NaN NaN \n",
|
||
"134 NaN False baseline i ... NaN NaN \n",
|
||
"135 NaN False baseline i ... NaN NaN \n",
|
||
"... ... ... ... ... ... ... \n",
|
||
"1154 NaN False baseline ii ... NaN NaN \n",
|
||
"1155 mecl True stim i ... 10.981120 11.242957 \n",
|
||
"1156 mecl True stim i ... 11.010395 11.204906 \n",
|
||
"1174 ms True stim i ... 11.023967 11.199671 \n",
|
||
"1184 NaN False baseline ii ... NaN NaN \n",
|
||
"1185 NaN False baseline ii ... NaN NaN \n",
|
||
"1186 NaN False baseline ii ... NaN NaN \n",
|
||
"1189 NaN False baseline ii ... NaN NaN \n",
|
||
"1191 NaN False baseline ii ... NaN NaN \n",
|
||
"1193 NaN False baseline ii ... NaN NaN \n",
|
||
"1194 NaN False baseline ii ... NaN NaN \n",
|
||
"1197 NaN False baseline ii ... NaN NaN \n",
|
||
"1199 NaN False baseline ii ... NaN NaN \n",
|
||
"1202 NaN False baseline ii ... NaN NaN \n",
|
||
"1204 NaN False baseline ii ... NaN NaN \n",
|
||
"1208 NaN False baseline ii ... NaN NaN \n",
|
||
"1214 NaN False baseline ii ... NaN NaN \n",
|
||
"1215 NaN False baseline ii ... NaN NaN \n",
|
||
"1217 NaN False baseline ii ... NaN NaN \n",
|
||
"1218 NaN False baseline ii ... NaN NaN \n",
|
||
"1219 NaN False baseline ii ... NaN NaN \n",
|
||
"1220 NaN False baseline ii ... NaN NaN \n",
|
||
"1221 NaN False baseline ii ... NaN NaN \n",
|
||
"1223 NaN False baseline ii ... NaN NaN \n",
|
||
"1255 ms True stim i ... 11.016969 11.215476 \n",
|
||
"1257 ms True stim i ... 11.023725 11.224735 \n",
|
||
"1263 ms True stim i ... 10.994052 11.225703 \n",
|
||
"1264 ms True stim i ... 11.000518 11.216176 \n",
|
||
"1268 ms True stim i ... 11.034662 11.197408 \n",
|
||
"1275 ms True stim i ... 11.016058 11.203307 \n",
|
||
"\n",
|
||
" stim_half_width stim_energy half_width peak_to_trough \\\n",
|
||
"17 0.270708 0.129917 0.283497 0.606614 \n",
|
||
"19 0.332225 0.258594 0.261815 0.633750 \n",
|
||
"21 0.248556 0.080818 0.242524 0.534827 \n",
|
||
"29 0.290063 0.160690 0.279806 0.598967 \n",
|
||
"30 0.242181 0.091302 0.265158 0.581451 \n",
|
||
"31 0.242252 0.098635 0.246920 0.570844 \n",
|
||
"33 NaN NaN 0.272875 0.602667 \n",
|
||
"34 NaN NaN 0.226452 0.274814 \n",
|
||
"35 NaN NaN 0.247266 0.570104 \n",
|
||
"39 NaN NaN 0.284542 0.644111 \n",
|
||
"40 NaN NaN 0.259920 0.581698 \n",
|
||
"42 NaN NaN 0.263630 0.596746 \n",
|
||
"44 NaN NaN 0.281399 0.607354 \n",
|
||
"46 NaN NaN 0.285816 0.603160 \n",
|
||
"47 NaN NaN 0.279177 0.585152 \n",
|
||
"49 NaN NaN 0.282336 0.711705 \n",
|
||
"54 0.263719 0.143591 0.270286 0.573804 \n",
|
||
"57 NaN NaN 0.277867 0.588852 \n",
|
||
"76 0.313932 0.178995 0.285028 0.578245 \n",
|
||
"87 0.260858 0.102743 0.272793 0.570844 \n",
|
||
"106 0.226673 0.070224 0.230947 0.561223 \n",
|
||
"124 NaN NaN 0.271262 0.615002 \n",
|
||
"125 NaN NaN 0.307694 0.659653 \n",
|
||
"126 NaN NaN 0.267708 0.630543 \n",
|
||
"128 NaN NaN 0.289100 0.673221 \n",
|
||
"129 NaN NaN 0.290402 0.650772 \n",
|
||
"131 NaN NaN 0.272160 0.620429 \n",
|
||
"132 NaN NaN 0.241405 0.595513 \n",
|
||
"134 NaN NaN 0.269911 0.609574 \n",
|
||
"135 NaN NaN 0.273069 0.651265 \n",
|
||
"... ... ... ... ... \n",
|
||
"1154 NaN NaN 0.273572 0.611548 \n",
|
||
"1155 0.261837 0.170881 0.276394 0.585645 \n",
|
||
"1156 0.194511 0.065052 0.249700 0.569364 \n",
|
||
"1174 0.175703 0.041580 0.249357 0.517805 \n",
|
||
"1184 NaN NaN 0.275930 0.594526 \n",
|
||
"1185 NaN NaN 0.225575 0.277528 \n",
|
||
"1186 NaN NaN 0.244049 0.571337 \n",
|
||
"1189 NaN NaN 0.222604 0.576271 \n",
|
||
"1191 NaN NaN 0.189559 0.248665 \n",
|
||
"1193 NaN NaN 0.257469 0.636957 \n",
|
||
"1194 NaN NaN 0.252255 0.587372 \n",
|
||
"1197 NaN NaN 0.261129 0.592306 \n",
|
||
"1199 NaN NaN 0.277189 0.615988 \n",
|
||
"1202 NaN NaN 0.287132 0.616235 \n",
|
||
"1204 NaN NaN 0.300175 0.610068 \n",
|
||
"1208 NaN NaN 0.293775 0.657679 \n",
|
||
"1214 NaN NaN 0.252895 0.600200 \n",
|
||
"1215 NaN NaN 0.271023 0.699617 \n",
|
||
"1217 NaN NaN 0.343906 0.698383 \n",
|
||
"1218 NaN NaN 0.304748 0.641151 \n",
|
||
"1219 NaN NaN 0.277708 0.585645 \n",
|
||
"1220 NaN NaN 0.294291 0.639177 \n",
|
||
"1221 NaN NaN 0.258204 0.608094 \n",
|
||
"1223 NaN NaN 0.276894 0.623636 \n",
|
||
"1255 0.198507 0.058616 0.277537 0.570597 \n",
|
||
"1257 0.201010 0.038708 0.248774 0.604394 \n",
|
||
"1263 0.231651 0.045162 0.280033 0.560729 \n",
|
||
"1264 0.215657 0.037637 0.281934 0.627089 \n",
|
||
"1268 0.162746 0.021146 0.266512 0.594033 \n",
|
||
"1275 0.187249 0.050767 0.257098 0.545188 \n",
|
||
"\n",
|
||
" average_firing_rate bs bs_stim bs_ctrl \n",
|
||
"17 9.779867 True 1.0 NaN \n",
|
||
"19 7.437802 True 1.0 NaN \n",
|
||
"21 2.265039 True 1.0 NaN \n",
|
||
"29 10.924422 True 1.0 NaN \n",
|
||
"30 3.984881 True 1.0 NaN \n",
|
||
"31 3.497452 True 1.0 NaN \n",
|
||
"33 5.945508 True NaN 1.0 \n",
|
||
"34 2.860048 False NaN 0.0 \n",
|
||
"35 3.365674 True NaN 1.0 \n",
|
||
"39 17.471520 True NaN 1.0 \n",
|
||
"40 5.891739 True NaN 1.0 \n",
|
||
"42 13.436847 True NaN 1.0 \n",
|
||
"44 17.446704 True NaN 1.0 \n",
|
||
"46 7.914246 True NaN 1.0 \n",
|
||
"47 10.840470 True NaN 1.0 \n",
|
||
"49 5.890705 True NaN 1.0 \n",
|
||
"54 14.025342 True 1.0 NaN \n",
|
||
"57 17.162446 True NaN 1.0 \n",
|
||
"76 34.841257 True 1.0 NaN \n",
|
||
"87 10.825754 True 1.0 NaN \n",
|
||
"106 2.339767 True 1.0 NaN \n",
|
||
"124 2.868000 True NaN 1.0 \n",
|
||
"125 6.912052 True NaN 1.0 \n",
|
||
"126 4.229867 True NaN 1.0 \n",
|
||
"128 16.735961 True NaN 1.0 \n",
|
||
"129 25.974728 True NaN 1.0 \n",
|
||
"131 14.686236 True NaN 1.0 \n",
|
||
"132 18.657578 True NaN 1.0 \n",
|
||
"134 3.106903 True NaN 1.0 \n",
|
||
"135 6.213807 True NaN 1.0 \n",
|
||
"... ... ... ... ... \n",
|
||
"1154 5.407135 True NaN 1.0 \n",
|
||
"1155 27.008837 True 1.0 NaN \n",
|
||
"1156 18.304313 True 1.0 NaN \n",
|
||
"1174 8.992236 True 1.0 NaN \n",
|
||
"1184 5.288548 True NaN 1.0 \n",
|
||
"1185 2.693978 False NaN 0.0 \n",
|
||
"1186 3.425185 True NaN 1.0 \n",
|
||
"1189 6.484767 True NaN 1.0 \n",
|
||
"1191 3.564358 False NaN 0.0 \n",
|
||
"1193 26.839270 True NaN 1.0 \n",
|
||
"1194 4.589373 True NaN 1.0 \n",
|
||
"1197 7.407060 True NaN 1.0 \n",
|
||
"1199 9.221822 True NaN 1.0 \n",
|
||
"1202 7.835622 True NaN 1.0 \n",
|
||
"1204 9.358786 True NaN 1.0 \n",
|
||
"1208 7.071948 True NaN 1.0 \n",
|
||
"1214 15.695836 True NaN 1.0 \n",
|
||
"1215 11.768979 True NaN 1.0 \n",
|
||
"1217 4.442023 True NaN 1.0 \n",
|
||
"1218 3.102590 True NaN 1.0 \n",
|
||
"1219 6.900656 True NaN 1.0 \n",
|
||
"1220 22.458685 True NaN 1.0 \n",
|
||
"1221 3.767155 True NaN 1.0 \n",
|
||
"1223 12.778706 True NaN 1.0 \n",
|
||
"1255 5.734302 True 1.0 NaN \n",
|
||
"1257 2.814742 True 1.0 NaN \n",
|
||
"1263 4.760330 True 1.0 NaN \n",
|
||
"1264 15.890929 True 1.0 NaN \n",
|
||
"1268 2.704037 True 1.0 NaN \n",
|
||
"1275 5.292658 True 1.0 NaN \n",
|
||
"\n",
|
||
"[271 rows x 67 columns]"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"gridcell_sessions"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"data.loc[:,'gridcell'] = False\n",
|
||
"data['gridcell'] = data.isin(gridcell_sessions)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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|
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||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
" <th>39</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.284542</td>\n",
|
||
" <td>0.644111</td>\n",
|
||
" <td>17.471520</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>True</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>40</th>\n",
|
||
" <td>1833-260619-1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>1833</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>baseline i</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.259920</td>\n",
|
||
" <td>0.581698</td>\n",
|
||
" <td>5.891739</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>True</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 68 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" action baseline entity frequency i ii session \\\n",
|
||
"33 1833-260619-1 True 1833 NaN True False 1 \n",
|
||
"34 1833-260619-1 True 1833 NaN True False 1 \n",
|
||
"35 1833-260619-1 True 1833 NaN True False 1 \n",
|
||
"39 1833-260619-1 True 1833 NaN True False 1 \n",
|
||
"40 1833-260619-1 True 1833 NaN True False 1 \n",
|
||
"\n",
|
||
" stim_location stimulated tag ... stim_half_f2 stim_half_width \\\n",
|
||
"33 NaN False baseline i ... NaN NaN \n",
|
||
"34 NaN False baseline i ... NaN NaN \n",
|
||
"35 NaN False baseline i ... NaN NaN \n",
|
||
"39 NaN False baseline i ... NaN NaN \n",
|
||
"40 NaN False baseline i ... NaN NaN \n",
|
||
"\n",
|
||
" stim_energy half_width peak_to_trough average_firing_rate bs \\\n",
|
||
"33 NaN 0.272875 0.602667 5.945508 True \n",
|
||
"34 NaN 0.226452 0.274814 2.860048 False \n",
|
||
"35 NaN 0.247266 0.570104 3.365674 True \n",
|
||
"39 NaN 0.284542 0.644111 17.471520 True \n",
|
||
"40 NaN 0.259920 0.581698 5.891739 True \n",
|
||
"\n",
|
||
" bs_stim bs_ctrl gridcell \n",
|
||
"33 NaN 1.0 True \n",
|
||
"34 NaN 0.0 True \n",
|
||
"35 NaN 1.0 True \n",
|
||
"39 NaN 1.0 True \n",
|
||
"40 NaN 1.0 True \n",
|
||
"\n",
|
||
"[5 rows x 68 columns]"
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"data.query('baseline and Hz11 and gridcell').head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {
|
||
"scrolled": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 525x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"density = True\n",
|
||
"cumulative = True\n",
|
||
"histtype = 'step'\n",
|
||
"lw = 2\n",
|
||
"bins = {\n",
|
||
" 'theta_energy': None,#np.arange(0, .7, .03),\n",
|
||
" 'theta_peak': np.arange(0, .7, .03),\n",
|
||
" 'theta_freq': np.arange(4, 10, .5),\n",
|
||
" 'theta_half_width': np.arange(0, 15, .5)\n",
|
||
"}\n",
|
||
"xlabel = {\n",
|
||
" 'theta_energy': 'Theta coherence energy',\n",
|
||
" 'theta_peak': 'Theta peak coherence',\n",
|
||
" 'theta_freq': '(Hz)',\n",
|
||
" 'theta_half_width': '(Hz)',\n",
|
||
"}\n",
|
||
"\n",
|
||
"for cell_type in ['gridcell', 'not bs']:\n",
|
||
" for key in bins:\n",
|
||
" fig = plt.figure(figsize=(3.5,2.2))\n",
|
||
" plt.suptitle(key + ' ' + cell_type)\n",
|
||
" legend_lines = []\n",
|
||
" for color, query, label in zip(colors, queries, labels):\n",
|
||
" data.query(query + ' and ' + cell_type)[key].hist(\n",
|
||
" bins=bins[key], density=density, cumulative=cumulative, lw=lw, \n",
|
||
" histtype=histtype, color=color)\n",
|
||
" legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))\n",
|
||
" plt.xlabel(xlabel[key])\n",
|
||
" plt.legend(\n",
|
||
" handles=legend_lines,\n",
|
||
" bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.grid(False)\n",
|
||
"# plt.xlim(-0.05, bins[key].max() - bins[key].max()*0.02)\n",
|
||
" sns.despine()\n",
|
||
" figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')\n",
|
||
" fig.savefig(\n",
|
||
" output_path / 'figures' / f'{figname}.png', \n",
|
||
" bbox_inches='tight', transparent=True)\n",
|
||
" fig.savefig(\n",
|
||
" output_path / 'figures' / f'{figname}.svg', \n",
|
||
" bbox_inches='tight', transparent=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"data['stim_strength'] = data.stim_p_max / data.theta_energy"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {
|
||
"scrolled": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
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"text/plain": [
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"<Figure size 480x330 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 480x330 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"density = True\n",
|
||
"cumulative = True\n",
|
||
"histtype = 'step'\n",
|
||
"lw = 2\n",
|
||
"bins = {\n",
|
||
" 'stim_energy': np.arange(0, .4, .01),\n",
|
||
" 'stim_half_width': np.arange(0, 10, .5),\n",
|
||
" 'stim_p_max': np.arange(0, 1, .01),\n",
|
||
" 'stim_strength': np.arange(0, 50, 1)\n",
|
||
"}\n",
|
||
"xlabel = {\n",
|
||
" 'stim_energy': 'Coherence energy',\n",
|
||
" 'stim_half_width': '(Hz)',\n",
|
||
" 'stim_p_max': 'Peak coherence',\n",
|
||
" 'stim_strength': 'Ratio',\n",
|
||
"}\n",
|
||
"# key = 'theta_energy'\n",
|
||
"# key = 'theta_peak'\n",
|
||
"for cell_type in ['gridcell', 'not bs']:\n",
|
||
" for key in bins:\n",
|
||
" fig = plt.figure(figsize=(3.2,2.2))\n",
|
||
" plt.suptitle(key + ' ' + cell_type)\n",
|
||
" legend_lines = []\n",
|
||
" for color, query, label in zip(colors[1::2], queries[1::2], labels[1::2]):\n",
|
||
" data.query(query + ' and ' + cell_type)[key].hist(\n",
|
||
" bins=bins[key], density=density, cumulative=cumulative, lw=lw, \n",
|
||
" histtype=histtype, color=color)\n",
|
||
" legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))\n",
|
||
" plt.xlabel(xlabel[key])\n",
|
||
" plt.legend(\n",
|
||
" handles=legend_lines,\n",
|
||
" bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.grid(False)\n",
|
||
" plt.xlim(-0.05, bins[key].max() - bins[key].max()*0.02)\n",
|
||
" sns.despine()\n",
|
||
" figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')\n",
|
||
" fig.savefig(\n",
|
||
" output_path / 'figures' / f'{figname}.png', \n",
|
||
" bbox_inches='tight', transparent=True)\n",
|
||
" fig.savefig(\n",
|
||
" output_path / 'figures' / f'{figname}.svg', \n",
|
||
" bbox_inches='tight', transparent=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from septum_mec.analysis.plotting import plot_bootstrap_timeseries"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"coher = pd.read_feather(output_path / 'data' / 'coherence.feather')\n",
|
||
"freqs = pd.read_feather(output_path / 'data' / 'freqs.feather')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"freq = freqs.T.iloc[0].values\n",
|
||
"\n",
|
||
"mask = (freq < 100)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 750x300 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 750x300 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"for cell_type in ['gridcell', 'not bs']:\n",
|
||
" fig, axs = plt.subplots(1, 2, sharex=True, sharey=True, figsize=(5,2))\n",
|
||
" axs = axs.repeat(2)\n",
|
||
" for i, (ax, query) in enumerate(zip(axs.ravel(), queries)):\n",
|
||
" selection = [\n",
|
||
" f'{r.action}_{r.channel_group}_{r.unit_name}' \n",
|
||
" for i, r in data.query(query + ' and ' + cell_type).iterrows()]\n",
|
||
" values = coher.loc[mask, selection].dropna(axis=1).to_numpy()\n",
|
||
" values = 10 * np.log10(values)\n",
|
||
" plot_bootstrap_timeseries(freq[mask], values, ax=ax, lw=1, label=labels[i], color=colors[i])\n",
|
||
" # ax.set_title(titles[i])\n",
|
||
" ax.set_xlabel('Frequency Hz')\n",
|
||
" ax.legend(frameon=False)\n",
|
||
" axs[0].set_ylabel('Coherence')\n",
|
||
" sns.despine()\n",
|
||
" figname = f'spike-lfp-coherence-{cell_type}'.replace(' ', '-')\n",
|
||
" fig.savefig(\n",
|
||
" output_path / 'figures' / f'{figname}.png', \n",
|
||
" bbox_inches='tight', transparent=True)\n",
|
||
" fig.savefig(\n",
|
||
" output_path / 'figures' / f'{figname}.svg', \n",
|
||
" bbox_inches='tight', transparent=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Store results in Expipe action"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"action = project.require_action(\"stimulus-spike-lfp-response\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"['/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/data/freqs.feather',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/data/coherence.feather',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_strength-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_energy-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_peak-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_energy-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_energy-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_peak-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_strength-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_p_max-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_peak-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_half_width-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_half_width-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_half_width-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_energy-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_freq-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_strength-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_freq-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_peak-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_half_width-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_p_max-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_freq-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_half_width-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_freq-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_strength-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_energy-not-bs.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_p_max-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_energy-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_half_width-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_energy-not-bs.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_p_max-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_half_width-gridcell.svg',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-theta_half_width-gridcell.png',\n",
|
||
" '/media/storage/expipe/septum-mec/actions/stimulus-spike-lfp-response/data/figures/spike-lfp-coherence-histogram-stim_energy-not-bs.svg']"
|
||
]
|
||
},
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"copy_tree(output_path, str(action.data_path()))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"septum_mec.analysis.registration.store_notebook(action, \"20_stimulus-spike-lfp-response.ipynb\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.6.8"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|