1014 lines
398 KiB
Text
1014 lines
398 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 53,
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"id": "ec10aab9-454d-4dc2-9059-665e60050d73",
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"metadata": {},
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"outputs": [],
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"source": [
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"import ethoscopy as etho\n",
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"import pandas as pd\n",
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"from scipy.stats import mannwhitneyu\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import seaborn as sns\n",
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"from scipy.stats import wilcoxon, shapiro, ttest_rel"
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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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"id": "5289d86c-0107-4089-83e3-327b70168e08",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'2.1.0'"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"etho.__version__"
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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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"id": "3d32b423-cc70-43f2-a2cc-ed9bd08c2981",
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"metadata": {},
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"outputs": [],
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"source": [
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"meta = '/home/rdingjin/Optic_2026-04-01/metadata_CantonS_2026-04-01.csv'\n",
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"local = '/mnt/ethoscope_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": 6,
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"id": "df11ef6f-5475-45b0-95c3-2a8672a21219",
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"metadata": {},
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"outputs": [],
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"source": [
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"metadata = etho.link_meta_index(meta, local)"
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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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"id": "ebfbf3dc-d405-4f7b-a4a1-1eacff24f3a5",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Loading ROI_1 from ETHOSCOPE_278\n",
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"Loading ROI_2 from ETHOSCOPE_278\n",
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"Loading ROI_3 from ETHOSCOPE_278\n",
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"Loading ROI_4 from ETHOSCOPE_278\n",
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"Loading ROI_5 from ETHOSCOPE_278\n",
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"Loading ROI_6 from ETHOSCOPE_278\n",
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"Loading ROI_7 from ETHOSCOPE_278\n",
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"Loading ROI_8 from ETHOSCOPE_278\n",
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"Loading ROI_9 from ETHOSCOPE_278\n",
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"Loading ROI_10 from ETHOSCOPE_278\n",
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"Loading ROI_11 from ETHOSCOPE_278\n",
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"Loading ROI_12 from ETHOSCOPE_278\n",
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"Loading ROI_13 from ETHOSCOPE_278\n",
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"Loading ROI_14 from ETHOSCOPE_278\n",
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"Loading ROI_15 from ETHOSCOPE_278\n",
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"Loading ROI_16 from ETHOSCOPE_278\n",
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"Loading ROI_17 from ETHOSCOPE_278\n",
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"Loading ROI_18 from ETHOSCOPE_278\n",
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"Loading ROI_19 from ETHOSCOPE_278\n",
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"Loading ROI_20 from ETHOSCOPE_278\n"
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]
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}
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],
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"source": [
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"#fetch data from ethoscope\n",
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"data = etho.load_ethoscope(metadata, reference_hour = 9.0, FUN = etho.sleep_annotation)"
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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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"id": "a32d69f8-e66c-47fc-9b9a-2273f2c5082b",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = etho.behavpy(data, metadata, check = 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": 9,
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"id": "e633d7d9-99db-4815-900d-e79d11dd65b1",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.to_pickle('/home/rdingjin/Optic_2026-04-01/phase2.pkl')"
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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": 54,
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"id": "ae2ff7e0-2f6c-4cc0-9afd-a1c021140760",
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"metadata": {},
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"outputs": [],
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"source": [
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"import ethoscopy as etho\n",
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"import pandas as pd\n",
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"from scipy.stats import wilcoxon, shapiro, ttest_rel\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import seaborn as sns\n",
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"df = pd.read_pickle('/home/rdingjin/Optic_2026-04-01/phase2.pkl')"
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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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"id": "94a0854d-4b5a-475f-a856-c61ec01d080e",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = df.baseline(column = 'baseline')"
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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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"id": "cae6a067-5fd7-493a-9f23-c75d63e6ae06",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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" ==== METADATA ====\n",
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"\n",
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" date machine_name region_id \\\n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 2026-04-01 ETHOSCOPE_278 1 \n",
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"2026-04-01_11-20-57_278441|02 2026-04-01 ETHOSCOPE_278 2 \n",
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"2026-04-01_11-20-57_278441|03 2026-04-01 ETHOSCOPE_278 3 \n",
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"2026-04-01_11-20-57_278441|04 2026-04-01 ETHOSCOPE_278 4 \n",
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"2026-04-01_11-20-57_278441|05 2026-04-01 ETHOSCOPE_278 5 \n",
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"2026-04-01_11-20-57_278441|06 2026-04-01 ETHOSCOPE_278 6 \n",
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"2026-04-01_11-20-57_278441|07 2026-04-01 ETHOSCOPE_278 7 \n",
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"2026-04-01_11-20-57_278441|08 2026-04-01 ETHOSCOPE_278 8 \n",
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"2026-04-01_11-20-57_278441|09 2026-04-01 ETHOSCOPE_278 9 \n",
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"2026-04-01_11-20-57_278441|10 2026-04-01 ETHOSCOPE_278 10 \n",
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"2026-04-01_11-20-57_278441|11 2026-04-01 ETHOSCOPE_278 11 \n",
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"2026-04-01_11-20-57_278441|12 2026-04-01 ETHOSCOPE_278 12 \n",
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"2026-04-01_11-20-57_278441|13 2026-04-01 ETHOSCOPE_278 13 \n",
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"2026-04-01_11-20-57_278441|14 2026-04-01 ETHOSCOPE_278 14 \n",
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"2026-04-01_11-20-57_278441|15 2026-04-01 ETHOSCOPE_278 15 \n",
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"2026-04-01_11-20-57_278441|16 2026-04-01 ETHOSCOPE_278 16 \n",
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"2026-04-01_11-20-57_278441|17 2026-04-01 ETHOSCOPE_278 17 \n",
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"2026-04-01_11-20-57_278441|18 2026-04-01 ETHOSCOPE_278 18 \n",
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"2026-04-01_11-20-57_278441|19 2026-04-01 ETHOSCOPE_278 19 \n",
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"2026-04-01_11-20-57_278441|20 2026-04-01 ETHOSCOPE_278 20 \n",
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"\n",
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" sleep_deprived species food baseline \\\n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|02 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|03 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|04 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|05 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|06 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|07 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|08 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|09 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|10 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|11 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|12 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|13 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|14 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|15 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|16 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|17 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|18 True CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|19 False CantonS normal_food 0 \n",
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"2026-04-01_11-20-57_278441|20 True CantonS normal_food 0 \n",
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"\n",
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" sex time \n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|02 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|03 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|04 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|05 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|06 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|07 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|08 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|09 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|10 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|11 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|12 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|13 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|14 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|15 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|16 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|17 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|18 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|19 male 11-20-57 \n",
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"2026-04-01_11-20-57_278441|20 male 11-20-57 \n",
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" ====== DATA ======\n",
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"\n",
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" t x y w \\\n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 8460 248.739130 41.782609 20.130435 \n",
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"2026-04-01_11-20-57_278441|01 8470 116.657143 44.885714 19.542857 \n",
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"2026-04-01_11-20-57_278441|01 8480 27.581395 45.488372 11.744186 \n",
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"2026-04-01_11-20-57_278441|01 8490 21.000000 45.000000 11.000000 \n",
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"2026-04-01_11-20-57_278441|01 8500 21.000000 45.000000 11.000000 \n",
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"... ... ... ... ... \n",
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"2026-04-01_11-20-57_278441|20 701770 161.700000 22.000000 20.800000 \n",
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"2026-04-01_11-20-57_278441|20 701780 160.571429 21.714286 21.428571 \n",
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"2026-04-01_11-20-57_278441|20 701790 162.904762 22.761905 21.476190 \n",
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"2026-04-01_11-20-57_278441|20 701800 161.227273 21.863636 21.818182 \n",
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"2026-04-01_11-20-57_278441|20 701810 160.952381 22.095238 21.714286 \n",
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"\n",
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" h phi max_velocity \\\n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 9.217391 90.782609 56.218434 \n",
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"2026-04-01_11-20-57_278441|01 7.171429 35.171429 17.818812 \n",
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"2026-04-01_11-20-57_278441|01 6.604651 15.534884 16.439127 \n",
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"2026-04-01_11-20-57_278441|01 7.000000 18.000000 3.033044 \n",
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"2026-04-01_11-20-57_278441|01 7.000000 18.000000 3.033044 \n",
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"... ... ... ... \n",
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"2026-04-01_11-20-57_278441|20 9.050000 163.750000 1.386369 \n",
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"2026-04-01_11-20-57_278441|20 8.714286 169.142857 2.300799 \n",
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"2026-04-01_11-20-57_278441|20 8.380952 156.000000 1.255679 \n",
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"2026-04-01_11-20-57_278441|20 8.681818 164.954545 1.249910 \n",
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"2026-04-01_11-20-57_278441|20 8.476190 165.047619 1.224274 \n",
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"\n",
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" mean_velocity dist has_interacted \\\n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 10.761196 0.742523 0.0 \n",
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"2026-04-01_11-20-57_278441|01 4.753718 0.499140 0.0 \n",
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"2026-04-01_11-20-57_278441|01 3.349548 0.432092 0.0 \n",
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"2026-04-01_11-20-57_278441|01 3.033044 0.345767 0.0 \n",
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"2026-04-01_11-20-57_278441|01 3.033044 0.354866 0.0 \n",
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"... ... ... ... \n",
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"2026-04-01_11-20-57_278441|20 0.836259 0.050176 0.0 \n",
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"2026-04-01_11-20-57_278441|20 0.926716 0.058383 0.0 \n",
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"2026-04-01_11-20-57_278441|20 0.869378 0.054771 0.0 \n",
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"2026-04-01_11-20-57_278441|20 0.845312 0.055791 0.0 \n",
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"2026-04-01_11-20-57_278441|20 0.885445 0.055783 0.0 \n",
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"\n",
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" beam_cross moving micro walk \\\n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 0.0 True False True \n",
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"2026-04-01_11-20-57_278441|01 0.0 True False True \n",
|
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"2026-04-01_11-20-57_278441|01 0.0 True False True \n",
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"2026-04-01_11-20-57_278441|01 0.0 True False True \n",
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"2026-04-01_11-20-57_278441|01 0.0 True False True \n",
|
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"... ... ... ... ... \n",
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"2026-04-01_11-20-57_278441|20 0.0 True True False \n",
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"2026-04-01_11-20-57_278441|20 0.0 True True False \n",
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"2026-04-01_11-20-57_278441|20 0.0 True True False \n",
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"2026-04-01_11-20-57_278441|20 0.0 True True False \n",
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"2026-04-01_11-20-57_278441|20 0.0 True True False \n",
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"\n",
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" is_interpolated asleep \n",
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"id \n",
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"2026-04-01_11-20-57_278441|01 False False \n",
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"2026-04-01_11-20-57_278441|01 False False \n",
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"2026-04-01_11-20-57_278441|01 False False \n",
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"2026-04-01_11-20-57_278441|01 False False \n",
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"2026-04-01_11-20-57_278441|01 False False \n",
|
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"... ... ... \n",
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"2026-04-01_11-20-57_278441|20 False False \n",
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"2026-04-01_11-20-57_278441|20 False False \n",
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"2026-04-01_11-20-57_278441|20 False False \n",
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"2026-04-01_11-20-57_278441|20 False False \n",
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"2026-04-01_11-20-57_278441|20 False False \n",
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"\n",
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"[1386538 rows x 16 columns]\n"
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]
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}
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],
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"source": [
|
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"#display metadata\n",
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"df.display()"
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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": 41,
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"id": "76cd7456-6246-4665-a08a-d6f270a8567d",
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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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"/srv/venv/lib/python3.12/site-packages/ethoscopy/behavpy_core.py:1611: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
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" tdf.groupby(\"id\", group_keys=False).apply(\n"
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]
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},
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{
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 800x200 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"#heatmap of CantonS sleep\n",
|
|
"start_hour = 0\n",
|
|
"end_hour = 96\n",
|
|
"fig = df.t_filter(start_time=start_hour, end_time=end_hour).heatmap(variable = 'asleep')\n",
|
|
"fig.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 112,
|
|
"id": "e97cc949-01e2-4ad2-8a06-fd5b6c36b089",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1133.33x466.667 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"start_hour = 0\n",
|
|
"end_hour = 96\n",
|
|
"\n",
|
|
"# Generate plot from Ethoscopy\n",
|
|
"fig = df.t_filter(start_time=start_hour, end_time=end_hour).plot_overtime(variable='asleep', avg_window=30, grids=True)\n",
|
|
"\n",
|
|
"# Extract the main axis from the figure\n",
|
|
"ax = fig.axes[0]\n",
|
|
"\n",
|
|
"# Add shading stimulus shading\n",
|
|
"# Draw a vertical span from ZT 48 to ZT 72\n",
|
|
"ax.axvspan(48, 72, color='#ff4c4c', alpha=0.3, zorder=1)\n",
|
|
"\n",
|
|
"# Set custom labels\n",
|
|
"ax.set_xlabel(\"Zeitgeber Time (Hours)\", fontsize=12)\n",
|
|
"ax.set_ylabel(\"Fraction of Time Asleep\", fontsize=12)\n",
|
|
"\n",
|
|
"# Show plot\n",
|
|
"fig.show()\n",
|
|
"\n",
|
|
"# Save as a high-resolution PNG\n",
|
|
"plt.savefig(\"Figure_2A.png\", dpi=600, bbox_inches='tight')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 66,
|
|
"id": "81bb4b3e-0d14-4e1b-86af-b304eb557f24",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--- Individual Fly Sleep (Baseline: 0h to 48h, Averaged per day) ---\n",
|
|
" Fly_Label Base_Sleep_24h Base_Day_12h Base_Night_12h\n",
|
|
"ETHOSCOPE_278 - Fly 01 11.508333 6.030793 6.068056\n",
|
|
"ETHOSCOPE_278 - Fly 02 10.863889 4.857583 6.481944\n",
|
|
"ETHOSCOPE_278 - Fly 03 10.951389 5.397998 6.081944\n",
|
|
"ETHOSCOPE_278 - Fly 04 12.305556 5.017706 7.779167\n",
|
|
"ETHOSCOPE_278 - Fly 05 12.623611 4.623557 8.452778\n",
|
|
"ETHOSCOPE_278 - Fly 06 9.318056 3.846035 5.848611\n",
|
|
"ETHOSCOPE_278 - Fly 07 10.198611 3.513472 7.029167\n",
|
|
"ETHOSCOPE_278 - Fly 08 10.611111 3.398871 7.545833\n",
|
|
"ETHOSCOPE_278 - Fly 09 9.495833 3.040801 6.752778\n",
|
|
"ETHOSCOPE_278 - Fly 10 7.136111 1.992302 5.338889\n",
|
|
"ETHOSCOPE_278 - Fly 11 7.872222 2.909931 5.247222\n",
|
|
"ETHOSCOPE_278 - Fly 12 11.048611 4.259011 7.219444\n",
|
|
"ETHOSCOPE_278 - Fly 13 9.591667 3.630485 6.316667\n",
|
|
"ETHOSCOPE_278 - Fly 14 8.198611 4.460354 4.175000\n",
|
|
"ETHOSCOPE_278 - Fly 15 10.927778 3.765974 7.530556\n",
|
|
"ETHOSCOPE_278 - Fly 16 10.326389 4.676505 6.108333\n",
|
|
"ETHOSCOPE_278 - Fly 17 8.308333 3.885214 4.813889\n",
|
|
"ETHOSCOPE_278 - Fly 18 7.506944 2.677444 5.091667\n",
|
|
"ETHOSCOPE_278 - Fly 19 12.595833 3.788501 9.179167\n",
|
|
"ETHOSCOPE_278 - Fly 20 8.979167 3.086990 6.194444\n",
|
|
"... (Showing first 20 rows)\n",
|
|
"\n",
|
|
"--- Grand Summary Statistics (Baseline: 0h to 48h) ---\n",
|
|
"Total Flies Analyzed: n = 20\n",
|
|
"\n",
|
|
"[ OVERALL SLEEP (Scaled to 24h Baseline Average) ]\n",
|
|
"Mean ± SEM: 10.02 ± 0.37 hours\n",
|
|
"Median: 10.26 hours\n",
|
|
"\n",
|
|
"[ DAY TIME (ZT 0-12, Averaged to 12h blocks) ]\n",
|
|
"Mean ± SEM: 3.94 ± 0.22 hours\n",
|
|
"Median: 3.82 hours\n",
|
|
"\n",
|
|
"[ NIGHT TIME (ZT 12-24, Averaged to 12h blocks) ]\n",
|
|
"Mean ± SEM: 6.46 ± 0.28 hours\n",
|
|
"Median: 6.26 hours\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# BASELINE\n",
|
|
"\n",
|
|
"# Define baseline time period\n",
|
|
"start_hour = 0\n",
|
|
"end_hour = 48\n",
|
|
"\n",
|
|
"# Filter the dataset to ONLY include data within specific baseline window\n",
|
|
"base_df = df.t_filter(start_time=start_hour, end_time=end_hour).copy()\n",
|
|
"\n",
|
|
"# Calculate Overall 24h Baseline Average\n",
|
|
"sleep_hours = (base_df.groupby('id')['asleep'].sum() * 10) / 3600\n",
|
|
"\n",
|
|
"# (48 - 0) / 24 evaluates to exactly 2 days. \n",
|
|
"# Dividing total sleep by 2 to average the 48 hours into a single 24-hour metric\n",
|
|
"days_tracked = (end_hour - start_hour) / 24 \n",
|
|
"base_overall = (sleep_hours / days_tracked).reset_index(name='Base_Sleep_24h')\n",
|
|
"\n",
|
|
"# Calculate Day/Night 12h Baseline Averages\n",
|
|
"base_df['zt_hour'] = (base_df['t'] / 3600) % 24\n",
|
|
"base_df['Phase'] = np.where(base_df['zt_hour'] < 12, 'Day', 'Night')\n",
|
|
"\n",
|
|
"base_phase = base_df.groupby(['id', 'Phase']).agg(\n",
|
|
" total_sleep_epochs=('asleep', 'sum'),\n",
|
|
" total_tracking_epochs=('t', 'count')\n",
|
|
").reset_index()\n",
|
|
"\n",
|
|
"# Tracking_Hours will be ~24 for Day and ~24 for Night \n",
|
|
"# Dividing sleep by 24 and multiplying by 12 averages it to a single 12h block.\n",
|
|
"base_phase['Sleep_Hours'] = (base_phase['total_sleep_epochs'] * 10) / 3600\n",
|
|
"base_phase['Tracking_Hours'] = (base_phase['total_tracking_epochs'] * 10) / 3600\n",
|
|
"base_phase['Base_Sleep_12h'] = (base_phase['Sleep_Hours'] / base_phase['Tracking_Hours']) * 12\n",
|
|
"\n",
|
|
"base_pivot = base_phase.pivot(index='id', columns='Phase', values='Base_Sleep_12h').reset_index()\n",
|
|
"# Rename columns\n",
|
|
"base_pivot.columns = ['id', 'Base_Day_12h', 'Base_Night_12h']\n",
|
|
"\n",
|
|
"# Merge and clean up data\n",
|
|
"merged_df = pd.merge(base_overall, base_pivot, on='id')\n",
|
|
"\n",
|
|
"merged_df['Machine'] = merged_df['id'].map(df.meta['machine_name'])\n",
|
|
"merged_df['Tube'] = merged_df['id'].apply(lambda x: str(x).split('|')[-1])\n",
|
|
"merged_df['Fly_Label'] = merged_df['Machine'] + \" - Fly \" + merged_df['Tube']\n",
|
|
"\n",
|
|
"clean_table = merged_df.dropna(subset=['Machine']).sort_values(by=['Machine', 'Tube'])\n",
|
|
"baseline_stats = clean_table[['Fly_Label', 'Base_Sleep_24h', 'Base_Day_12h', 'Base_Night_12h']]\n",
|
|
"\n",
|
|
"# PRINT RESULTS\n",
|
|
"print(f\"--- Individual Fly Sleep (Baseline: {start_hour}h to {end_hour}h, Averaged per day) ---\")\n",
|
|
"print(baseline_stats.head(20).to_string(index=False)) \n",
|
|
"print(\"... (Showing first 20 rows)\\n\")\n",
|
|
"\n",
|
|
"print(f\"--- Grand Summary Statistics (Baseline: {start_hour}h to {end_hour}h) ---\")\n",
|
|
"print(f\"Total Flies Analyzed: n = {len(baseline_stats)}\")\n",
|
|
"\n",
|
|
"# 1. OVERALL 24H STATS\n",
|
|
"print(\"\\n[ OVERALL SLEEP (Scaled to 24h Baseline Average) ]\")\n",
|
|
"print(f\"Mean ± SEM: {baseline_stats['Base_Sleep_24h'].mean():.2f} ± {baseline_stats['Base_Sleep_24h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {baseline_stats['Base_Sleep_24h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 2. DAY TIME STATS\n",
|
|
"print(f\"\\n[ DAY TIME (ZT 0-12, Averaged to 12h blocks) ]\")\n",
|
|
"print(f\"Mean ± SEM: {baseline_stats['Base_Day_12h'].mean():.2f} ± {baseline_stats['Base_Day_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {baseline_stats['Base_Day_12h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 3. NIGHT TIME STATS\n",
|
|
"print(f\"\\n[ NIGHT TIME (ZT 12-24, Averaged to 12h blocks) ]\")\n",
|
|
"print(f\"Mean ± SEM: {baseline_stats['Base_Night_12h'].mean():.2f} ± {baseline_stats['Base_Night_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {baseline_stats['Base_Night_12h'].median():.2f} hours\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 68,
|
|
"id": "6aa39f19-25f6-48cc-aceb-dc7accbc6a58",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--- Individual Fly Sleep (Stimulus: 48h to 72h) ---\n",
|
|
" Fly_Label Stim_Sleep_24h Stim_Day_12h Stim_Night_12h\n",
|
|
"ETHOSCOPE_278 - Fly 01 11.947222 4.252778 7.694444\n",
|
|
"ETHOSCOPE_278 - Fly 02 11.638889 6.025000 5.613889\n",
|
|
"ETHOSCOPE_278 - Fly 03 12.650000 5.280556 7.369444\n",
|
|
"ETHOSCOPE_278 - Fly 04 10.319444 5.800000 4.519444\n",
|
|
"ETHOSCOPE_278 - Fly 05 15.816667 7.772222 8.044444\n",
|
|
"ETHOSCOPE_278 - Fly 06 11.011111 2.513889 8.497222\n",
|
|
"ETHOSCOPE_278 - Fly 07 12.352778 4.850000 7.502778\n",
|
|
"ETHOSCOPE_278 - Fly 08 10.591667 4.247222 6.344444\n",
|
|
"ETHOSCOPE_278 - Fly 09 9.761111 6.705556 3.055556\n",
|
|
"ETHOSCOPE_278 - Fly 10 5.716667 2.472222 3.244444\n",
|
|
"ETHOSCOPE_278 - Fly 11 10.008333 4.850000 5.158333\n",
|
|
"ETHOSCOPE_278 - Fly 12 10.355556 4.730556 5.625000\n",
|
|
"ETHOSCOPE_278 - Fly 13 11.650000 5.130556 6.519444\n",
|
|
"ETHOSCOPE_278 - Fly 14 13.888889 6.200000 7.688889\n",
|
|
"ETHOSCOPE_278 - Fly 15 13.050000 5.519444 7.530556\n",
|
|
"ETHOSCOPE_278 - Fly 16 12.097222 4.641667 7.455556\n",
|
|
"ETHOSCOPE_278 - Fly 17 11.394444 5.036111 6.358333\n",
|
|
"ETHOSCOPE_278 - Fly 18 10.991667 4.991667 6.000000\n",
|
|
"ETHOSCOPE_278 - Fly 19 15.338889 6.291667 9.047222\n",
|
|
"ETHOSCOPE_278 - Fly 20 11.936111 4.061111 7.875000\n",
|
|
"... (Showing first 20 rows)\n",
|
|
"\n",
|
|
"--- Grand Summary Statistics (Stimulus: 48h to 72h) ---\n",
|
|
"Total Flies Analyzed: n = 20\n",
|
|
"\n",
|
|
"[ OVERALL SLEEP (24h Stimulus Block) ]\n",
|
|
"Mean ± SEM: 11.63 ± 0.48 hours\n",
|
|
"Median: 11.64 hours\n",
|
|
"\n",
|
|
"[ DAY TIME (ZT 0-12 during Stimulus) ]\n",
|
|
"Mean ± SEM: 5.07 ± 0.28 hours\n",
|
|
"Median: 5.01 hours\n",
|
|
"\n",
|
|
"[ NIGHT TIME (ZT 12-24 during Stimulus) ]\n",
|
|
"Mean ± SEM: 6.56 ± 0.37 hours\n",
|
|
"Median: 6.94 hours\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Define stimulus time period\n",
|
|
"start_hour = 48\n",
|
|
"end_hour = 72\n",
|
|
"\n",
|
|
"# Filter the dataset to ONLY include data within specific stimulus window\n",
|
|
"stim_df = df.t_filter(start_time=start_hour, end_time=end_hour).copy()\n",
|
|
"\n",
|
|
"# Calculate Overall 24h Stimulus Average\n",
|
|
"sleep_hours = (stim_df.groupby('id')['asleep'].sum() * 10) / 3600\n",
|
|
"days_tracked = (end_hour - start_hour) / 24 \n",
|
|
"stim_overall = (sleep_hours / days_tracked).reset_index(name='Stim_Sleep_24h')\n",
|
|
"\n",
|
|
"# Calculate Day/Night 12h Stimulus Averages\n",
|
|
"stim_df['zt_hour'] = (stim_df['t'] / 3600) % 24\n",
|
|
"stim_df['Phase'] = np.where(stim_df['zt_hour'] < 12, 'Day', 'Night')\n",
|
|
"\n",
|
|
"stim_phase = stim_df.groupby(['id', 'Phase']).agg(\n",
|
|
" total_sleep_epochs=('asleep', 'sum'),\n",
|
|
" total_tracking_epochs=('t', 'count')\n",
|
|
").reset_index()\n",
|
|
"\n",
|
|
"# Tracking_Hours will now be ~12 for Day and ~12 for Night\n",
|
|
"# Dividing sleep by tracking hours and multiplying by 12 averages it to a single 12h block.\n",
|
|
"stim_phase['Sleep_Hours'] = (stim_phase['total_sleep_epochs'] * 10) / 3600\n",
|
|
"stim_phase['Tracking_Hours'] = (stim_phase['total_tracking_epochs'] * 10) / 3600\n",
|
|
"stim_phase['Stim_Sleep_12h'] = (stim_phase['Sleep_Hours'] / stim_phase['Tracking_Hours']) * 12\n",
|
|
"\n",
|
|
"stim_pivot = stim_phase.pivot(index='id', columns='Phase', values='Stim_Sleep_12h').reset_index()\n",
|
|
"# Rename columns \n",
|
|
"stim_pivot.columns = ['id', 'Stim_Day_12h', 'Stim_Night_12h']\n",
|
|
"\n",
|
|
"# Merge and clean up data\n",
|
|
"merged_df = pd.merge(stim_overall, stim_pivot, on='id')\n",
|
|
"\n",
|
|
"merged_df['Machine'] = merged_df['id'].map(df.meta['machine_name'])\n",
|
|
"merged_df['Tube'] = merged_df['id'].apply(lambda x: str(x).split('|')[-1])\n",
|
|
"merged_df['Fly_Label'] = merged_df['Machine'] + \" - Fly \" + merged_df['Tube']\n",
|
|
"\n",
|
|
"clean_table = merged_df.dropna(subset=['Machine']).sort_values(by=['Machine', 'Tube'])\n",
|
|
"stim_stats = clean_table[['Fly_Label', 'Stim_Sleep_24h', 'Stim_Day_12h', 'Stim_Night_12h']]\n",
|
|
"\n",
|
|
"# PRINT RESULTS\n",
|
|
"print(f\"--- Individual Fly Sleep (Stimulus: {start_hour}h to {end_hour}h) ---\")\n",
|
|
"print(stim_stats.head(20).to_string(index=False)) \n",
|
|
"print(\"... (Showing first 20 rows)\\n\")\n",
|
|
"\n",
|
|
"print(f\"--- Grand Summary Statistics (Stimulus: {start_hour}h to {end_hour}h) ---\")\n",
|
|
"print(f\"Total Flies Analyzed: n = {len(stim_stats)}\")\n",
|
|
"\n",
|
|
"# 1. OVERALL 24H STATS\n",
|
|
"print(\"\\n[ OVERALL SLEEP (24h Stimulus Block) ]\")\n",
|
|
"print(f\"Mean ± SEM: {stim_stats['Stim_Sleep_24h'].mean():.2f} ± {stim_stats['Stim_Sleep_24h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {stim_stats['Stim_Sleep_24h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 2. DAY TIME STATS\n",
|
|
"print(f\"\\n[ DAY TIME (ZT 0-12 during Stimulus) ]\")\n",
|
|
"print(f\"Mean ± SEM: {stim_stats['Stim_Day_12h'].mean():.2f} ± {stim_stats['Stim_Day_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {stim_stats['Stim_Day_12h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 3. NIGHT TIME STATS\n",
|
|
"print(f\"\\n[ NIGHT TIME (ZT 12-24 during Stimulus) ]\")\n",
|
|
"print(f\"Mean ± SEM: {stim_stats['Stim_Night_12h'].mean():.2f} ± {stim_stats['Stim_Night_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {stim_stats['Stim_Night_12h'].median():.2f} hours\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 101,
|
|
"id": "6449454d-1195-451f-b5d2-77887dae0cdc",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"--- 24h Total Statistical Analysis ---\n",
|
|
"Shapiro-Wilk P-value (Normality of differences): 0.7122\n",
|
|
"Result: Data is normal. Used Paired T-test.\n",
|
|
"P-value: 8.6132e-04\n",
|
|
"Significance: ***\n",
|
|
"\n",
|
|
"--- Daytime Statistical Analysis ---\n",
|
|
"Shapiro-Wilk P-value (Normality of differences): 0.8870\n",
|
|
"Result: Data is normal. Used Paired T-test.\n",
|
|
"P-value: 1.2991e-03\n",
|
|
"Significance: **\n",
|
|
"\n",
|
|
"--- Nighttime Statistical Analysis ---\n",
|
|
"Shapiro-Wilk P-value (Normality of differences): 0.8906\n",
|
|
"Result: Data is normal. Used Paired T-test.\n",
|
|
"P-value: 8.2210e-01\n",
|
|
"Significance: ns\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from scipy.stats import shapiro, wilcoxon, ttest_rel\n",
|
|
"\n",
|
|
"# 1. Merge Baseline and Stimulus data on Fly_Label\n",
|
|
"paired_df = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"\n",
|
|
"def run_paired_stats(df, base_col, stim_col, label):\n",
|
|
" # Calculate the differences for the paired test\n",
|
|
" diffs = df[stim_col] - df[base_col]\n",
|
|
" \n",
|
|
" # 2. Shapiro-Wilk Test for Normality\n",
|
|
" _, p_shapiro = shapiro(diffs)\n",
|
|
" \n",
|
|
" print(f\"\\n--- {label} Statistical Analysis ---\")\n",
|
|
" print(f\"Shapiro-Wilk P-value (Normality of differences): {p_shapiro:.4f}\")\n",
|
|
" \n",
|
|
" # 3. Determine Test: If P > 0.05, data is normal (use t-test). If P < 0.05, use Wilcoxon.\n",
|
|
" if p_shapiro > 0.05:\n",
|
|
" stat, p_val = ttest_rel(df[base_col], df[stim_col])\n",
|
|
" print(f\"Result: Data is normal. Used Paired T-test.\")\n",
|
|
" else:\n",
|
|
" stat, p_val = wilcoxon(df[base_col], df[stim_col])\n",
|
|
" print(f\"Result: Data is not normal. Used Wilcoxon Signed-Rank test.\")\n",
|
|
" \n",
|
|
" print(f\"P-value: {p_val:.4e}\")\n",
|
|
" if p_val < 0.0001: print(\"Significance: ****\")\n",
|
|
" elif p_val < 0.001: print(\"Significance: ***\")\n",
|
|
" elif p_val < 0.01: print(\"Significance: **\")\n",
|
|
" elif p_val < 0.05: print(\"Significance: *\")\n",
|
|
" else: print(\"Significance: ns\")\n",
|
|
"\n",
|
|
"# Run for all three metrics\n",
|
|
"run_paired_stats(paired_df, 'Base_Sleep_24h', 'Stim_Sleep_24h', '24h Total')\n",
|
|
"run_paired_stats(paired_df, 'Base_Day_12h', 'Stim_Day_12h', 'Daytime')\n",
|
|
"run_paired_stats(paired_df, 'Base_Night_12h', 'Stim_Night_12h', 'Nighttime')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 115,
|
|
"id": "f4bf7cde-117c-4ce5-a591-e595f0ac297b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/tmp/ipykernel_38794/1708898274.py:27: FutureWarning: \n",
|
|
"\n",
|
|
"Setting a gradient palette using color= is deprecated and will be removed in v0.14.0. Set `palette='dark:black'` for the same effect.\n",
|
|
"\n",
|
|
" sns.stripplot(\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 700x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# 1. PREPARE DATA\n",
|
|
"combined = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"plot_df = combined.melt(id_vars=['Fly_Label'], var_name='Variable', value_name='Hours')\n",
|
|
"plot_df['Condition'] = plot_df['Variable'].apply(lambda x: '24h' if '24h' in x else ('Day' if 'Day' in x else 'Night'))\n",
|
|
"plot_df['State'] = plot_df['Variable'].apply(lambda x: 'Baseline' if 'Base' in x else 'Stimulus')\n",
|
|
"\n",
|
|
"# 2. GENERATE PLOT\n",
|
|
"plt.figure(figsize=(7, 6))\n",
|
|
"sns.set_theme(style=\"ticks\")\n",
|
|
"\n",
|
|
"order = ['24h', 'Day', 'Night']\n",
|
|
"hue_order = ['Baseline', 'Stimulus']\n",
|
|
"palette = {'Baseline': '#cccccc', 'Stimulus': '#ff4c4c'}\n",
|
|
"\n",
|
|
"# Boxplot (This will generate the legend)\n",
|
|
"sns.boxplot(\n",
|
|
" data=plot_df, x='Condition', y='Hours', hue='State', \n",
|
|
" order=order, hue_order=hue_order, palette=palette,\n",
|
|
" width=0.6, \n",
|
|
" gap=0.2, \n",
|
|
" boxprops={'edgecolor': 'black', 'alpha': 0.7},\n",
|
|
" medianprops={'color': 'black', 'linewidth': 1.5}, showfliers=False\n",
|
|
")\n",
|
|
"\n",
|
|
"# Stripplot\n",
|
|
"sns.stripplot(\n",
|
|
" data=plot_df, x='Condition', y='Hours', hue='State', \n",
|
|
" order=order, hue_order=hue_order, dodge=True,\n",
|
|
" color='black', alpha=0.5, size=4, jitter=0.05,\n",
|
|
" legend=False\n",
|
|
")\n",
|
|
"\n",
|
|
"# 3. ADD MEDIAN LABELS\n",
|
|
"ax = plt.gca()\n",
|
|
"medians = plot_df.groupby(['Condition', 'State'], sort=False)['Hours'].median()\n",
|
|
"\n",
|
|
"# Offsets remain at 0.4 to match the new box centers with gap=0.2\n",
|
|
"offsets = {'Baseline': -0.4, 'Stimulus': 0.4}\n",
|
|
"\n",
|
|
"for i, cond in enumerate(order):\n",
|
|
" for state in hue_order:\n",
|
|
" val = medians[(cond, state)]\n",
|
|
" ax.text(i + offsets[state], val, f\"{val:.1f}h\", \n",
|
|
" ha='center', va='bottom', fontsize=10)\n",
|
|
"\n",
|
|
"# 4. FORMATTING\n",
|
|
"sns.despine()\n",
|
|
"plt.ylabel('Average time spent asleep (hours)', fontsize=12)\n",
|
|
"plt.xlabel('')\n",
|
|
"plt.ylim(0, 18) \n",
|
|
"plt.legend(title='', frameon=False)\n",
|
|
"plt.tight_layout()\n",
|
|
"\n",
|
|
"plt.savefig(\"CantonS_Red.png\", dpi=600, bbox_inches='tight')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 133,
|
|
"id": "606952df-3087-480a-8a76-71cbd659c0a7",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/tmp/ipykernel_38794/2013331516.py:45: FutureWarning: \n",
|
|
"\n",
|
|
"Setting a gradient palette using color= is deprecated and will be removed in v0.14.0. Set `palette='dark:black'` for the same effect.\n",
|
|
"\n",
|
|
" sns.stripplot(\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
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"text/plain": [
|
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"<Figure size 700x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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}
|
|
],
|
|
"source": [
|
|
"# 1. PREPARE DATA & CALCULATE STATS\n",
|
|
"combined = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"\n",
|
|
"# Calculate the paired statistics for the brackets\n",
|
|
"p_values = {}\n",
|
|
"metrics = {\n",
|
|
" '24h': ('Base_Sleep_24h', 'Stim_Sleep_24h'),\n",
|
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" 'Day': ('Base_Day_12h', 'Stim_Day_12h'),\n",
|
|
" 'Night': ('Base_Night_12h', 'Stim_Night_12h')\n",
|
|
"}\n",
|
|
"\n",
|
|
"for phase, (base_col, stim_col) in metrics.items():\n",
|
|
" diffs = combined[stim_col] - combined[base_col]\n",
|
|
" _, p_shapiro = shapiro(diffs)\n",
|
|
" \n",
|
|
" # Use Paired T-Test if normal, Wilcoxon if not\n",
|
|
" if p_shapiro > 0.05:\n",
|
|
" _, p_val = ttest_rel(combined[base_col], combined[stim_col])\n",
|
|
" else:\n",
|
|
" _, p_val = wilcoxon(combined[base_col], combined[stim_col])\n",
|
|
" p_values[phase] = p_val\n",
|
|
"\n",
|
|
"# Melt the data for plotting\n",
|
|
"plot_df = combined.melt(id_vars=['Fly_Label'], var_name='Variable', value_name='Hours')\n",
|
|
"plot_df['Condition'] = plot_df['Variable'].apply(lambda x: '24h' if '24h' in x else ('Day' if 'Day' in x else 'Night'))\n",
|
|
"plot_df['State'] = plot_df['Variable'].apply(lambda x: 'Baseline' if 'Base' in x else 'Stimulus')\n",
|
|
"\n",
|
|
"# 2. GENERATE PLOT\n",
|
|
"plt.figure(figsize=(7, 6))\n",
|
|
"sns.set_theme(style=\"ticks\")\n",
|
|
"\n",
|
|
"order = ['24h', 'Day', 'Night']\n",
|
|
"hue_order = ['Baseline', 'Stimulus']\n",
|
|
"palette = {'Baseline': '#cccccc', 'Stimulus': '#ff4c4c'}\n",
|
|
"\n",
|
|
"# Boxplot\n",
|
|
"sns.boxplot(\n",
|
|
" data=plot_df, x='Condition', y='Hours', hue='State', \n",
|
|
" order=order, hue_order=hue_order, palette=palette,\n",
|
|
" width=0.6, gap=0.2, boxprops={'edgecolor': 'black', 'alpha': 0.7},\n",
|
|
" medianprops={'color': 'black', 'linewidth': 1.5}, showfliers=False\n",
|
|
")\n",
|
|
"\n",
|
|
"# Stripplot\n",
|
|
"sns.stripplot(\n",
|
|
" data=plot_df, x='Condition', y='Hours', hue='State', \n",
|
|
" order=order, hue_order=hue_order, dodge=True,\n",
|
|
" color='black', alpha=0.5, size=4, jitter=0.05,\n",
|
|
" legend=False\n",
|
|
")\n",
|
|
"\n",
|
|
"# 3. ADD MEDIAN LABELS\n",
|
|
"ax = plt.gca()\n",
|
|
"medians = plot_df.groupby(['Condition', 'State'], sort=False)['Hours'].median()\n",
|
|
"\n",
|
|
"offsets = {'Baseline': -0.4, 'Stimulus': 0.4}\n",
|
|
"\n",
|
|
"for i, cond in enumerate(order):\n",
|
|
" for state in hue_order:\n",
|
|
" val = medians[(cond, state)]\n",
|
|
" ax.text(i + offsets[state], val, f\"{val:.1f}h\", \n",
|
|
" ha='center', va='bottom', fontsize=10)\n",
|
|
"\n",
|
|
"# 4. ADD SIGNIFICANCE BRACKETS\n",
|
|
"y_max = plot_df['Hours'].max()\n",
|
|
"y_line = y_max + 1.0 # Float the bracket 1 hour above the highest data point\n",
|
|
"h = 0.4 # Height of the bracket's downward ticks\n",
|
|
"\n",
|
|
"for i, cond in enumerate(order):\n",
|
|
" p = p_values[cond]\n",
|
|
" \n",
|
|
" # Determine the correct asterisk\n",
|
|
" if p < 0.0001: star = '****'\n",
|
|
" elif p < 0.001: star = '***'\n",
|
|
" elif p < 0.01: star = '**'\n",
|
|
" elif p < 0.05: star = '*'\n",
|
|
" else: star = 'ns'\n",
|
|
" \n",
|
|
" # Bracket coordinates (Centers of the Baseline and Stimulus boxes)\n",
|
|
" x1, x2 = i - 0.2, i + 0.2\n",
|
|
" \n",
|
|
" # Draw the bracket line\n",
|
|
" plt.plot([x1, x1, x2, x2], [y_line, y_line+h, y_line+h, y_line], lw=1.5, c='k')\n",
|
|
" \n",
|
|
" # Place the text above the bracket\n",
|
|
" plt.text((x1+x2)*.5, y_line+h, star, ha='center', va='bottom', fontsize=12)\n",
|
|
"\n",
|
|
"# 5. FORMATTING\n",
|
|
"sns.despine()\n",
|
|
"plt.ylabel('Average time spent asleep (hours)', fontsize=12)\n",
|
|
"plt.xlabel('')\n",
|
|
"\n",
|
|
"plt.xlim(-0.6, 2.5) \n",
|
|
"\n",
|
|
"plt.legend(title='', frameon=False)\n",
|
|
"plt.tight_layout()\n",
|
|
"plt.ylim(0, max(18, y_line + h + 1.5))\n",
|
|
"\n",
|
|
"plt.legend(title='', frameon=False, loc='center left', bbox_to_anchor=(1, 0.5))\n",
|
|
"plt.tight_layout()\n",
|
|
"plt.savefig(\"CantonS_Red.png\", dpi=600, bbox_inches='tight')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 116,
|
|
"id": "5f77fc74-7bea-4c2c-a498-791a4656f46f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--- Delta Sleep (Stimulus - Baseline) per Fly ---\n",
|
|
" Fly_Label Delta_24h Delta_Day Delta_Night\n",
|
|
"ETHOSCOPE_278 - Fly 01 0.438889 -1.778015 1.626389\n",
|
|
"ETHOSCOPE_278 - Fly 02 0.775000 1.167417 -0.868056\n",
|
|
"ETHOSCOPE_278 - Fly 03 1.698611 -0.117443 1.287500\n",
|
|
"ETHOSCOPE_278 - Fly 04 -1.986111 0.782294 -3.259722\n",
|
|
"ETHOSCOPE_278 - Fly 05 3.193056 3.148666 -0.408333\n",
|
|
"ETHOSCOPE_278 - Fly 06 1.693056 -1.332147 2.648611\n",
|
|
"ETHOSCOPE_278 - Fly 07 2.154167 1.336528 0.473611\n",
|
|
"ETHOSCOPE_278 - Fly 08 -0.019444 0.848352 -1.201389\n",
|
|
"ETHOSCOPE_278 - Fly 09 0.265278 3.664755 -3.697222\n",
|
|
"ETHOSCOPE_278 - Fly 10 -1.419444 0.479920 -2.094444\n",
|
|
"ETHOSCOPE_278 - Fly 11 2.136111 1.940069 -0.088889\n",
|
|
"ETHOSCOPE_278 - Fly 12 -0.693056 0.471544 -1.594444\n",
|
|
"ETHOSCOPE_278 - Fly 13 2.058333 1.500071 0.202778\n",
|
|
"ETHOSCOPE_278 - Fly 14 5.690278 1.739646 3.513889\n",
|
|
"ETHOSCOPE_278 - Fly 15 2.122222 1.753471 0.000000\n",
|
|
"ETHOSCOPE_278 - Fly 16 1.770833 -0.034838 1.347222\n",
|
|
"ETHOSCOPE_278 - Fly 17 3.086111 1.150897 1.544444\n",
|
|
"ETHOSCOPE_278 - Fly 18 3.484722 2.314222 0.908333\n",
|
|
"ETHOSCOPE_278 - Fly 19 2.743056 2.503166 -0.131944\n",
|
|
"ETHOSCOPE_278 - Fly 20 2.956944 0.974121 1.680556\n",
|
|
"\n",
|
|
"==================================================\n",
|
|
"\n",
|
|
"--- Average Change (Delta) across all flies ---\n",
|
|
"Delta_24h: 1.61 ± 0.41 hours\n",
|
|
"Delta_Day: 1.13 ± 0.30 hours\n",
|
|
"Delta_Night: 0.09 ± 0.41 hours\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"#DELTA\n",
|
|
"\n",
|
|
"# 1. Ensure have the merged paired data\n",
|
|
"combined = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"\n",
|
|
"# 2. Calculate the Delta (Stimulus - Baseline) for each fly\n",
|
|
"combined['Delta_24h'] = combined['Stim_Sleep_24h'] - combined['Base_Sleep_24h']\n",
|
|
"combined['Delta_Day'] = combined['Stim_Day_12h'] - combined['Base_Day_12h']\n",
|
|
"combined['Delta_Night'] = combined['Stim_Night_12h'] - combined['Base_Night_12h']\n",
|
|
"\n",
|
|
"# 3. Print the Delta for each individual fly\n",
|
|
"print(\"--- Delta Sleep (Stimulus - Baseline) per Fly ---\")\n",
|
|
"delta_table = combined[['Fly_Label', 'Delta_24h', 'Delta_Day', 'Delta_Night']]\n",
|
|
"print(delta_table.to_string(index=False))\n",
|
|
"print(\"\\n\" + \"=\"*50 + \"\\n\")\n",
|
|
"\n",
|
|
"# 4. Calculate and print the group averages\n",
|
|
"print(\"--- Average Change (Delta) across all flies ---\")\n",
|
|
"avg_delta = delta_table[['Delta_24h', 'Delta_Day', 'Delta_Night']].mean()\n",
|
|
"sem_delta = delta_table[['Delta_24h', 'Delta_Day', 'Delta_Night']].sem()\n",
|
|
"\n",
|
|
"for metric in ['Delta_24h', 'Delta_Day', 'Delta_Night']:\n",
|
|
" print(f\"{metric}: {avg_delta[metric]:.2f} ± {sem_delta[metric]:.2f} hours\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 117,
|
|
"id": "673c571d-ec35-4f87-b58f-127bd6b9c379",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"#export to csv\n",
|
|
"delta_table['Condition'] = 'Red'\n",
|
|
"delta_table.to_csv('delta_red.csv', index=False)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|