Optogenetics-Sleep-Deprivation/5.UAS-ChRmine-attP2_Baseline.ipynb

651 lines
240 KiB
Text

{
"cells": [
{
"cell_type": "code",
"execution_count": 19,
"id": "17f64a96-e544-4da1-9d6e-e452b9ef8730",
"metadata": {},
"outputs": [],
"source": [
"import ethoscopy as etho\n",
"import pandas as pd\n",
"from scipy.stats import mannwhitneyu\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "73799ce2-3d1b-4808-b44a-9284595e639e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2.1.0'"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"etho.__version__"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "72bde469-46ad-4722-b4e5-4acdc7066975",
"metadata": {},
"outputs": [],
"source": [
"meta = '/home/rdingjin/ChRmine_2026-04-10/metadata_ChRmine-attP2_2026-04-10.csv'\n",
"local = '/mnt/ethoscope_results'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "97bcb76d-3eef-4dbd-844b-c74f30bbd593",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ethoscopes ('ETHOSCOPE_278', 'ETHOSCOPE_278') have multiple files for their day, the largest file has been kept. If you want all files for that day please add a time column\n"
]
}
],
"source": [
"metadata = etho.link_meta_index(meta, local)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "978acb6d-856e-4495-8083-d1a1e39b7def",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading ROI_1 from ETHOSCOPE_278\n",
"Loading ROI_2 from ETHOSCOPE_278\n",
"Loading ROI_3 from ETHOSCOPE_278\n",
"Loading ROI_4 from ETHOSCOPE_278\n",
"Loading ROI_5 from ETHOSCOPE_278\n",
"Loading ROI_6 from ETHOSCOPE_278\n",
"Loading ROI_7 from ETHOSCOPE_278\n",
"Loading ROI_8 from ETHOSCOPE_278\n",
"Loading ROI_9 from ETHOSCOPE_278\n",
"Loading ROI_10 from ETHOSCOPE_278\n",
"Loading ROI_11 from ETHOSCOPE_278\n",
"Loading ROI_12 from ETHOSCOPE_278\n",
"Loading ROI_13 from ETHOSCOPE_278\n",
"Loading ROI_14 from ETHOSCOPE_278\n",
"Loading ROI_15 from ETHOSCOPE_278\n",
"Loading ROI_16 from ETHOSCOPE_278\n",
"Loading ROI_17 from ETHOSCOPE_278\n",
"Loading ROI_18 from ETHOSCOPE_278\n",
"Loading ROI_19 from ETHOSCOPE_278\n",
"Loading ROI_20 from ETHOSCOPE_278\n"
]
}
],
"source": [
"data = etho.load_ethoscope(metadata, reference_hour = 9.0, FUN = etho.sleep_annotation)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "09078fb6-c15d-4621-8811-86ecbf36e843",
"metadata": {},
"outputs": [],
"source": [
"df = etho.behavpy(data, metadata, check = True)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "31b1de86-344c-4dc2-9d0d-f00ef58fe52f",
"metadata": {},
"outputs": [],
"source": [
"df.to_pickle('/home/rdingjin/ChRmine_2026-04-10/phase3_attP2.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "96f482fb-8697-47b4-84a2-8883a75e5720",
"metadata": {},
"outputs": [],
"source": [
"import ethoscopy as etho\n",
"import pandas as pd\n",
"from scipy.stats import mannwhitneyu\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import seaborn as sns\n",
"df = pd.read_pickle('/home/rdingjin/ChRmine_2026-04-10/phase3_attP2.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "6fb12546-e7f2-4d86-b073-6e5c780662ac",
"metadata": {},
"outputs": [],
"source": [
"df = df.baseline(column = 'baseline')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6985f68c-0932-4a0d-bce2-69464dbdafbb",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" ==== METADATA ====\n",
"\n",
" date machine_name region_id \\\n",
"id \n",
"2026-04-10_13-39-38_278441|01 2026-04-10 ETHOSCOPE_278 1 \n",
"2026-04-10_13-39-38_278441|02 2026-04-10 ETHOSCOPE_278 2 \n",
"2026-04-10_13-39-38_278441|03 2026-04-10 ETHOSCOPE_278 3 \n",
"2026-04-10_13-39-38_278441|04 2026-04-10 ETHOSCOPE_278 4 \n",
"2026-04-10_13-39-38_278441|05 2026-04-10 ETHOSCOPE_278 5 \n",
"2026-04-10_13-39-38_278441|06 2026-04-10 ETHOSCOPE_278 6 \n",
"2026-04-10_13-39-38_278441|07 2026-04-10 ETHOSCOPE_278 7 \n",
"2026-04-10_13-39-38_278441|08 2026-04-10 ETHOSCOPE_278 8 \n",
"2026-04-10_13-39-38_278441|09 2026-04-10 ETHOSCOPE_278 9 \n",
"2026-04-10_13-39-38_278441|10 2026-04-10 ETHOSCOPE_278 10 \n",
"2026-04-10_13-39-38_278441|11 2026-04-10 ETHOSCOPE_278 11 \n",
"2026-04-10_13-39-38_278441|12 2026-04-10 ETHOSCOPE_278 12 \n",
"2026-04-10_13-39-38_278441|13 2026-04-10 ETHOSCOPE_278 13 \n",
"2026-04-10_13-39-38_278441|14 2026-04-10 ETHOSCOPE_278 14 \n",
"2026-04-10_13-39-38_278441|15 2026-04-10 ETHOSCOPE_278 15 \n",
"2026-04-10_13-39-38_278441|16 2026-04-10 ETHOSCOPE_278 16 \n",
"2026-04-10_13-39-38_278441|17 2026-04-10 ETHOSCOPE_278 17 \n",
"2026-04-10_13-39-38_278441|18 2026-04-10 ETHOSCOPE_278 18 \n",
"2026-04-10_13-39-38_278441|19 2026-04-10 ETHOSCOPE_278 19 \n",
"2026-04-10_13-39-38_278441|20 2026-04-10 ETHOSCOPE_278 20 \n",
"\n",
" sleep_deprived species food \\\n",
"id \n",
"2026-04-10_13-39-38_278441|01 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|02 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|03 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|04 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|05 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|06 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|07 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|08 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|09 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|10 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|11 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|12 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|13 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|14 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|15 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|16 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|17 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|18 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|19 False UAS_ChRmine_attP2 normal_food \n",
"2026-04-10_13-39-38_278441|20 False UAS_ChRmine_attP2 normal_food \n",
"\n",
" baseline sex time \n",
"id \n",
"2026-04-10_13-39-38_278441|01 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|02 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|03 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|04 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|05 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|06 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|07 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|08 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|09 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|10 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|11 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|12 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|13 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|14 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|15 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|16 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|17 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|18 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|19 0 male 13-39-38 \n",
"2026-04-10_13-39-38_278441|20 0 male 13-39-38 \n",
" ====== DATA ======\n",
"\n",
" t x y w \\\n",
"id \n",
"2026-04-10_13-39-38_278441|01 16780 59.111111 47.444444 21.444444 \n",
"2026-04-10_13-39-38_278441|01 16790 179.525000 45.837500 26.137500 \n",
"2026-04-10_13-39-38_278441|01 16800 188.000000 46.000000 26.038961 \n",
"2026-04-10_13-39-38_278441|01 16810 188.000000 46.000000 25.906667 \n",
"2026-04-10_13-39-38_278441|01 16820 188.160000 45.986667 25.666667 \n",
"... ... ... ... ... \n",
"2026-04-10_13-39-38_278441|20 278920 397.000000 20.000000 23.777778 \n",
"2026-04-10_13-39-38_278441|20 278930 397.000000 20.000000 23.934783 \n",
"2026-04-10_13-39-38_278441|20 278940 397.000000 20.000000 23.869565 \n",
"2026-04-10_13-39-38_278441|20 278950 397.000000 20.000000 23.789474 \n",
"2026-04-10_13-39-38_278441|20 278960 397.000000 20.000000 23.785714 \n",
"\n",
" h phi max_velocity \\\n",
"id \n",
"2026-04-10_13-39-38_278441|01 7.222222 115.777778 38.448442 \n",
"2026-04-10_13-39-38_278441|01 9.212500 98.412500 9.974215 \n",
"2026-04-10_13-39-38_278441|01 9.233766 68.324675 0.816354 \n",
"2026-04-10_13-39-38_278441|01 9.373333 48.680000 0.792280 \n",
"2026-04-10_13-39-38_278441|01 9.746667 87.320000 0.983736 \n",
"... ... ... ... \n",
"2026-04-10_13-39-38_278441|20 9.355556 37.644444 0.968008 \n",
"2026-04-10_13-39-38_278441|20 9.282609 17.956522 0.868718 \n",
"2026-04-10_13-39-38_278441|20 9.239130 33.065217 0.864726 \n",
"2026-04-10_13-39-38_278441|20 9.342105 53.131579 0.868718 \n",
"2026-04-10_13-39-38_278441|20 9.428571 83.392857 0.854828 \n",
"\n",
" mean_velocity dist has_interacted \\\n",
"id \n",
"2026-04-10_13-39-38_278441|01 8.486037 0.229123 0.0 \n",
"2026-04-10_13-39-38_278441|01 1.462570 0.351017 0.0 \n",
"2026-04-10_13-39-38_278441|01 0.692391 0.159942 0.0 \n",
"2026-04-10_13-39-38_278441|01 0.685665 0.154275 0.0 \n",
"2026-04-10_13-39-38_278441|01 0.700724 0.157663 0.0 \n",
"... ... ... ... \n",
"2026-04-10_13-39-38_278441|20 0.702433 0.094828 0.0 \n",
"2026-04-10_13-39-38_278441|20 0.700876 0.096721 0.0 \n",
"2026-04-10_13-39-38_278441|20 0.727397 0.100381 0.0 \n",
"2026-04-10_13-39-38_278441|20 0.725332 0.082688 0.0 \n",
"2026-04-10_13-39-38_278441|20 0.719535 0.060441 0.0 \n",
"\n",
" beam_cross moving micro walk \\\n",
"id \n",
"2026-04-10_13-39-38_278441|01 0.0 True False True \n",
"2026-04-10_13-39-38_278441|01 0.0 True False True \n",
"2026-04-10_13-39-38_278441|01 0.0 False False False \n",
"2026-04-10_13-39-38_278441|01 0.0 False False False \n",
"2026-04-10_13-39-38_278441|01 0.0 False False False \n",
"... ... ... ... ... \n",
"2026-04-10_13-39-38_278441|20 0.0 False False False \n",
"2026-04-10_13-39-38_278441|20 0.0 False False False \n",
"2026-04-10_13-39-38_278441|20 0.0 False False False \n",
"2026-04-10_13-39-38_278441|20 0.0 False False False \n",
"2026-04-10_13-39-38_278441|20 0.0 False False False \n",
"\n",
" is_interpolated asleep \n",
"id \n",
"2026-04-10_13-39-38_278441|01 False False \n",
"2026-04-10_13-39-38_278441|01 False False \n",
"2026-04-10_13-39-38_278441|01 False False \n",
"2026-04-10_13-39-38_278441|01 False False \n",
"2026-04-10_13-39-38_278441|01 False False \n",
"... ... ... \n",
"2026-04-10_13-39-38_278441|20 False False \n",
"2026-04-10_13-39-38_278441|20 False False \n",
"2026-04-10_13-39-38_278441|20 False False \n",
"2026-04-10_13-39-38_278441|20 False False \n",
"2026-04-10_13-39-38_278441|20 False False \n",
"\n",
"[523664 rows x 16 columns]\n"
]
}
],
"source": [
"df.display()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "201fdbdd-2a61-47a6-bf17-ee0d8c5c96f5",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/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",
" tdf.groupby(\"id\", group_keys=False).apply(\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 600x200 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Heatmap of UAS-ChRmine-attP2 sleep\n",
"start_hour = 0\n",
"end_hour = 72\n",
"fig = df.t_filter(start_time=start_hour, end_time=end_hour).heatmap(variable = 'asleep')\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "f0a9181a-0298-45e9-ab7e-96e0bad52bd8",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 866.667x433.333 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Generate plot from Ethoscopy\n",
"start_hour = 24\n",
"end_hour = 72\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",
"# 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_4-attP2.png\", dpi=600, bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "2704b7f8-e8ee-403e-9ec7-464458c93f86",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--- Individual Fly Average (Entire Recording Period) ---\n",
" Fly_Label Avg_Sleep_Per_24h Day_Sleep_12h Night_Sleep_12h\n",
"ETHOSCOPE_278 - Fly 01 8.023796 5.707394 2.795370\n",
"ETHOSCOPE_278 - Fly 02 4.464296 1.800543 2.962963\n",
"ETHOSCOPE_278 - Fly 03 5.272949 3.484892 2.109259\n",
"ETHOSCOPE_278 - Fly 04 9.550810 5.930827 4.210185\n",
"ETHOSCOPE_278 - Fly 05 3.597119 1.523178 2.313889\n",
"ETHOSCOPE_278 - Fly 06 2.349416 1.544680 0.948148\n",
"ETHOSCOPE_278 - Fly 07 9.229247 5.868908 4.006481\n",
"ETHOSCOPE_278 - Fly 08 5.001182 3.644585 1.654630\n",
"ETHOSCOPE_278 - Fly 09 8.926473 5.365898 4.118519\n",
"ETHOSCOPE_278 - Fly 10 4.890798 3.082931 2.120370\n",
"ETHOSCOPE_278 - Fly 11 7.932641 5.621238 2.790741\n",
"ETHOSCOPE_278 - Fly 12 9.267548 5.704977 4.141667\n",
"ETHOSCOPE_278 - Fly 13 7.652037 5.155777 2.961111\n",
"ETHOSCOPE_278 - Fly 14 7.490703 4.574791 3.387037\n",
"ETHOSCOPE_278 - Fly 15 7.511615 4.438679 3.543519\n",
"ETHOSCOPE_278 - Fly 16 9.953758 5.805048 4.785185\n",
"ETHOSCOPE_278 - Fly 17 11.442621 6.639225 5.547222\n",
"ETHOSCOPE_278 - Fly 18 8.474686 4.278481 4.743519\n",
"ETHOSCOPE_278 - Fly 19 5.100335 3.884152 1.585185\n",
"ETHOSCOPE_278 - Fly 20 7.159736 4.408052 3.211111\n",
"... (Showing first 20 rows)\n",
"\n",
"--- Grand Summary Statistics (Entire Recording Period) ---\n",
"Total Flies Analyzed: n = 20\n",
"\n",
"[ OVERALL SLEEP (Scaled to 24h) ]\n",
"Mean ± SEM: 7.16 ± 0.53 hours/24h\n",
"Median: 7.58 hours/24h\n",
"Minimum: 2.35 hours/24h\n",
"Maximum: 11.44 hours/24h\n",
"\n",
"[ DAY TIME (ZT 0-12, 9am-9pm, Scaled to 12h) ]\n",
"Mean ± SEM: 4.42 ± 0.34 hours/12h\n",
"Median: 4.51 hours/12h\n",
"Minimum: 1.52 hours/12h\n",
"Maximum: 6.64 hours/12h\n",
"\n",
"[ NIGHT TIME (ZT 12-24, 9pm-9am, Scaled to 12h) ]\n",
"Mean ± SEM: 3.20 ± 0.27 hours/12h\n",
"Median: 3.09 hours/12h\n",
"Minimum: 0.95 hours/12h\n",
"Maximum: 5.55 hours/12h\n"
]
}
],
"source": [
"filtered_df = df.copy()\n",
"\n",
"# Calculate Overall 24h Average\n",
"# Calculate exact duration each fly was tracked (in days) based on its maximum timestamp\n",
"days_tracked = filtered_df.groupby('id')['t'].max() / 86400\n",
"sleep_hours = (filtered_df.groupby('id')['asleep'].sum() * 10) / 3600\n",
"\n",
"overall_sleep = (sleep_hours / days_tracked).reset_index(name='Avg_Sleep_Per_24h')\n",
"\n",
"\n",
"# Calculate Day/Night 12h Averages\n",
"filtered_df['zt_hour'] = (filtered_df['t'] / 3600) % 24\n",
"filtered_df['Phase'] = np.where(filtered_df['zt_hour'] < 12, 'Day', 'Night')\n",
"\n",
"phase_summary = filtered_df.groupby(['id', 'Phase']).agg(\n",
" total_sleep_epochs=('asleep', 'sum'),\n",
" total_tracking_epochs=('t', 'count')\n",
").reset_index()\n",
"\n",
"phase_summary['Sleep_Hours'] = (phase_summary['total_sleep_epochs'] * 10) / 3600\n",
"phase_summary['Tracking_Hours'] = (phase_summary['total_tracking_epochs'] * 10) / 3600\n",
"phase_summary['Avg_Sleep_Per_12h'] = (phase_summary['Sleep_Hours'] / phase_summary['Tracking_Hours']) * 12\n",
"\n",
"pivot_df = phase_summary.pivot(index='id', columns='Phase', values='Avg_Sleep_Per_12h').reset_index()\n",
"\n",
"\n",
"# Merge the overall 24h table and the Day/Night table together using the fly 'id'\n",
"merged_df = pd.merge(overall_sleep, pivot_df, on='id')\n",
"\n",
"# Clean up the labels\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",
"# Drop invalid rows, sort, and select final columns\n",
"clean_table = merged_df.dropna(subset=['Machine']).sort_values(by=['Machine', 'Tube'])\n",
"final_table = clean_table[['Fly_Label', 'Avg_Sleep_Per_24h', 'Day', 'Night']]\n",
"final_table.columns = ['Fly_Label', 'Avg_Sleep_Per_24h', 'Day_Sleep_12h', 'Night_Sleep_12h']\n",
"\n",
"\n",
"# PRINT RESULTS\n",
"print(\"--- Individual Fly Average (Entire Recording Period) ---\")\n",
"# Show the first 20 rows of the combined table\n",
"print(final_table.head(20).to_string(index=False)) \n",
"print(\"... (Showing first 20 rows)\\n\")\n",
"\n",
"print(\"--- Grand Summary Statistics (Entire Recording Period) ---\")\n",
"print(f\"Total Flies Analyzed: n = {len(final_table)}\")\n",
"\n",
"# 1. OVERALL 24H STATS\n",
"print(\"\\n[ OVERALL SLEEP (Scaled to 24h) ]\")\n",
"print(f\"Mean ± SEM: {final_table['Avg_Sleep_Per_24h'].mean():.2f} ± {final_table['Avg_Sleep_Per_24h'].sem():.2f} hours/24h\")\n",
"print(f\"Median: {final_table['Avg_Sleep_Per_24h'].median():.2f} hours/24h\")\n",
"print(f\"Minimum: {final_table['Avg_Sleep_Per_24h'].min():.2f} hours/24h\")\n",
"print(f\"Maximum: {final_table['Avg_Sleep_Per_24h'].max():.2f} hours/24h\")\n",
"\n",
"# 2. DAY TIME STATS\n",
"print(\"\\n[ DAY TIME (ZT 0-12, 9am-9pm, Scaled to 12h) ]\")\n",
"print(f\"Mean ± SEM: {final_table['Day_Sleep_12h'].mean():.2f} ± {final_table['Day_Sleep_12h'].sem():.2f} hours/12h\")\n",
"print(f\"Median: {final_table['Day_Sleep_12h'].median():.2f} hours/12h\")\n",
"print(f\"Minimum: {final_table['Day_Sleep_12h'].min():.2f} hours/12h\")\n",
"print(f\"Maximum: {final_table['Day_Sleep_12h'].max():.2f} hours/12h\")\n",
"\n",
"# 3. NIGHT TIME STATS\n",
"print(\"\\n[ NIGHT TIME (ZT 12-24, 9pm-9am, Scaled to 12h) ]\")\n",
"print(f\"Mean ± SEM: {final_table['Night_Sleep_12h'].mean():.2f} ± {final_table['Night_Sleep_12h'].sem():.2f} hours/12h\")\n",
"print(f\"Median: {final_table['Night_Sleep_12h'].median():.2f} hours/12h\")\n",
"print(f\"Minimum: {final_table['Night_Sleep_12h'].min():.2f} hours/12h\")\n",
"print(f\"Maximum: {final_table['Night_Sleep_12h'].max():.2f} hours/12h\")"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "1ef1aae2-dcfd-450a-9931-759500dd6881",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Task was destroyed but it is pending!\n",
"task: <Task pending name='Task-705' coro=<_async_in_context.<locals>.run_in_context() done, defined at /srv/venv/lib/python3.12/site-packages/ipykernel/utils.py:57> wait_for=<Task pending name='Task-706' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]> cb=[ZMQStream._run_callback.<locals>._log_error() at /srv/venv/lib/python3.12/site-packages/zmq/eventloop/zmqstream.py:563]>\n",
"/srv/venv/lib/python3.12/site-packages/matplotlib/cbook.py:259: RuntimeWarning: coroutine 'Kernel.shell_main' was never awaited\n",
" def __init__(self, exception_handler=_exception_printer, *, signals=None):\n",
"Task was destroyed but it is pending!\n",
"task: <Task pending name='Task-706' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]>\n",
"Task was destroyed but it is pending!\n",
"task: <Task pending name='Task-759' coro=<_async_in_context.<locals>.run_in_context() done, defined at /srv/venv/lib/python3.12/site-packages/ipykernel/utils.py:57> wait_for=<Task pending name='Task-760' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]> cb=[ZMQStream._run_callback.<locals>._log_error() at /srv/venv/lib/python3.12/site-packages/zmq/eventloop/zmqstream.py:563]>\n",
"Task was destroyed but it is pending!\n",
"task: <Task pending name='Task-760' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]>\n",
"/tmp/ipykernel_41383/1926494263.py:19: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" sns.boxplot(\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 500x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 1. Prepare data for plotting\n",
"plot_df = final_table.melt(\n",
" id_vars=['Fly_Label'], \n",
" value_vars=['Day_Sleep_12h', 'Night_Sleep_12h'],\n",
" var_name='Phase', \n",
" value_name='Sleep_Hours'\n",
")\n",
"\n",
"plot_df['Phase'] = plot_df['Phase'].replace({\n",
" 'Day_Sleep_12h': 'Day',\n",
" 'Night_Sleep_12h': 'Night'\n",
"})\n",
"\n",
"# 2. Generate plot\n",
"plt.figure(figsize=(5, 6))\n",
"sns.set_theme(style=\"ticks\")\n",
"\n",
"# Draw the Box Plot\n",
"sns.boxplot(\n",
" data=plot_df, \n",
" x='Phase', \n",
" y='Sleep_Hours', \n",
" palette=['#f1c232', '#3c78d8'], \n",
" width=0.4,\n",
" boxprops={'edgecolor': 'black', 'alpha': 0.6},\n",
" medianprops={'color': 'black', 'linewidth': 1},\n",
" showfliers=False \n",
")\n",
"\n",
"# Draw the Strip Plot\n",
"sns.stripplot(\n",
" data=plot_df, \n",
" x='Phase', \n",
" y='Sleep_Hours', \n",
" color='black', \n",
" alpha=0.6, \n",
" size=5, \n",
" jitter=True\n",
")\n",
"\n",
"# 3. Add labels for the median\n",
"# Calculate the exact median for Day and Night\n",
"medians = plot_df.groupby('Phase', sort=False)['Sleep_Hours'].median()\n",
"\n",
"# Grab the current plot axes\n",
"ax = plt.gca()\n",
"\n",
"# Loop through the two phases (0 = Day, 1 = Night)\n",
"for i, phase in enumerate(medians.index):\n",
" median_val = medians[phase]\n",
" \n",
" # Place text slightly to the right of the box (i + 0.3)\n",
" ax.text(\n",
" i + 0.3, # X-coordinate\n",
" median_val, # Y-coordinate (exactly on the median line)\n",
" f\"{median_val:.1f}h\", # The text to display\n",
" ha='left', # Align text to the left of this anchor point\n",
" va='center', # Center vertically exactly on the line\n",
" color='black',\n",
" fontsize=11\n",
" )\n",
"\n",
"# 4. Formatting\n",
"sns.despine()\n",
"\n",
"plt.xlabel('') \n",
"plt.ylabel('Average time spent asleep (hours)', fontsize=12)\n",
"plt.ylim(0, 12) \n",
"\n",
"plt.tight_layout()\n",
"\n",
"# Export high resolution image\n",
"plt.savefig(\"ChRmine-attP2\", dpi=600, bbox_inches='tight')\n",
"\n",
"plt.show()"
]
}
],
"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
}