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bio-performx/notebooks/graphs.ipynb
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2025-11-26 12:57:11 +01:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "63f43af5",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "97da3d1c",
"metadata": {},
"outputs": [],
"source": [
"base_dir = os.path.dirname(os.path.abspath('.'))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b0ee2af1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Smoothed columns created:\n",
"['VO2(ml/min)_smoothed', 'VCO2(ml/min)_smoothed', 'HR(bpm)_smoothed', 'VT(l)_smoothed', 'BF(bpm)_smoothed', 'VE(l/min)_smoothed', 'VO2 Pulse_smoothed', 'VO2 Breath_smoothed', 'CHO_smoothed', 'FAT_smoothed']\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_1419466/3076306744.py:3: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n",
" df = df.apply(pd.to_numeric, errors='ignore')\n"
]
}
],
"source": [
"df = pd.read_csv(f'{base_dir}/data/Pnoe_20250729_1550-Moran_Keirstyn.csv', delimiter=';')\n",
"# Convert all columns to numeric where possible, coercing errors to NaN\n",
"df = df.apply(pd.to_numeric, errors='ignore')\n",
"df['VO2 Pulse'] = df['VO2(ml/min)'] / df['HR(bpm)'] # VO2 Pulse in mL/beat\n",
"df['VO2 Breath'] = df['VO2(ml/min)'] / df['BF(bpm)'] # VO2 per Breath in mL/breath\n",
"df['CHO'] = df['EE(kcal/min)'] * df['CARBS(%)']/100\n",
"df['FAT'] = df['EE(kcal/min)'] * df['FAT(%)']/100\n",
"# Smooth key columns using rolling window\n",
"window_size = 10\n",
"\n",
"# List of columns to smooth\n",
"columns_to_smooth = ['VO2(ml/min)', 'VCO2(ml/min)', 'HR(bpm)', 'VT(l)', 'BF(bpm)', 'VE(l/min)', 'VO2 Pulse', 'VO2 Breath', 'CHO', 'FAT']\n",
"\n",
"# Apply smoothing to each column\n",
"for col in columns_to_smooth:\n",
" if col in df.columns:\n",
" df[f'{col}_smoothed'] = df[col].rolling(window=window_size, min_periods=1).mean()\n",
"\n",
"print(\"Smoothed columns created:\")\n",
"print([col for col in df.columns if '_smoothed' in col])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "99116a35",
"metadata": {},
"outputs": [],
"source": [
"df_2 = pd.read_excel(f'{base_dir}/data/SECA body comp for all patients.xlsx')\n",
"spirometry_data = pd.read_csv(f'{base_dir}/data/spirometry_data.csv')\n",
"oxygenation = pd.read_csv(f'{base_dir}/data/Keirstyn Train Red NIRS Muscle Oxygen.csv')\n",
"oxygenation_2 = pd.read_csv(f'{base_dir}/data/muscle_oxygenation.csv', skiprows=445)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "fbd292c3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"22.369999999999997\n"
]
}
],
"source": [
"print(df['VO2 Pulse'].max())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4c439b2c",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Filter df_2 for Keirstyn Moran\n",
"keirstyn_data = df_2[df_2['LastName'].str.contains('Moran', case=False, na=False)]\n",
"# Get the fat mass percentage for Keirstyn\n",
"fat_percentage = keirstyn_data['Adult_FMP'].iloc[0]\n",
"weight_kg = keirstyn_data['Weight'].iloc[0]\n",
"age = keirstyn_data['Age'].iloc[0]\n",
"gender = keirstyn_data['Gender'].iloc[0]\n",
"lean_percentage = 100 - fat_percentage\n",
"\n",
"# Create donut chart\n",
"fat_mass_lbs = 27.6\n",
"lean_mass_lbs = 95.4\n",
"\n",
"# Calculate percentages from the provided weights\n",
"total_weight = fat_mass_lbs + lean_mass_lbs\n",
"fat_percentage = (fat_mass_lbs / total_weight) * 100\n",
"lean_percentage = (lean_mass_lbs / total_weight) * 100\n",
"\n",
"# Data for the chart\n",
"sizes = [fat_percentage, lean_percentage]\n",
"colors = ['#fde3ac', '#ff9966'] # Light yellow/tan and orange from the image\n",
"\n",
"plt.figure(figsize=(8, 8))\n",
"\n",
"# Create the donut chart without labels first\n",
"wedges, texts, autotexts = plt.pie(sizes,\n",
" autopct='', # Remove auto percentages\n",
" startangle=90,\n",
" wedgeprops=dict(width=0.5, edgecolor='w'),\n",
" colors=colors,\n",
" labels=['', '']) # Remove default labels\n",
"\n",
"# Add custom text annotations positioned manually\n",
"plt.text(-1, 1, 'Fat Mass (27.6lbs)\\n22.4%', \n",
" fontsize=14, fontweight='bold', ha='center', va='center',\n",
" bbox=dict(boxstyle=\"round,pad=0.3\", facecolor='white', alpha=0.8))\n",
"\n",
"plt.text(1, -1, 'Lean Mass (95.4lbs)\\n77.6%', \n",
" fontsize=14, fontweight='bold', ha='center', va='center',\n",
" bbox=dict(boxstyle=\"round,pad=0.3\", facecolor='white', alpha=0.8))\n",
"\n",
"# Set the title\n",
"plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle\n",
"plt.savefig(f'{base_dir}/graphs/body_composition_chart.png', bbox_inches='tight', dpi=600)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "a565f1b3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 1000x200 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Set a common style\n",
"sns.set_theme(style=\"whitegrid\")\n",
"\n",
"# Define the segments with muted colors\n",
"segments = [\n",
" ('#F8A8A8', 0, 15), # Muted Red/Salmon: 0% to 15%\n",
" ('#FFEECC', 15, 5), # Pale Yellow/Cream: 15% to 20%\n",
" ('#D0F0C0', 20, 15), # Pale Green/Mint: 20% to 35%\n",
" ('#FFEECC', 35, 5), # Pale Yellow/Cream: 35% to 40%\n",
" ('#F8A8A8', 40, 10) # Muted Red/Salmon: 40% to 50%\n",
"]\n",
"\n",
"target_value = 22.4\n",
"demographic = \"20-39\\n(F)\"\n",
"\n",
"fig, ax = plt.subplots(figsize=(10, 2))\n",
"\n",
"# Create the Segmented Bar\n",
"for color, start, length in segments:\n",
" ax.barh(y=0, width=length, left=start, height=1, color=color, edgecolor='black', linewidth=0.5)\n",
"\n",
"# Add the Indicator (Triangle)\n",
"ax.plot(target_value, 1.05, marker='v', color='black', markersize=10, clip_on=False, transform=ax.get_xaxis_transform())\n",
"\n",
"# Set Axis Properties and Labels\n",
"ax.set_xlim(0, 50)\n",
"ax.set_xticks(range(0, 51, 5))\n",
"ax.set_yticks([])\n",
"ax.text(-0.05, 0, demographic, transform=ax.get_yaxis_transform(), va='center', ha='right', fontsize=12)\n",
"\n",
"ax.set_xlim(0, 50)\n",
"ticks = range(0, 51, 5)\n",
"ax.set_xticks(ticks)\n",
"labels = [f\"{t}%\" for t in ticks]\n",
"ax.set_xticklabels(labels)\n",
"# Clean up spines and add small ticks\n",
"ax.spines['right'].set_visible(False)\n",
"ax.spines['top'].set_visible(False)\n",
"ax.spines['left'].set_visible(False)\n",
"ax.spines['bottom'].set_visible(True)\n",
"\n",
"for x in range(0, 51, 5):\n",
" ax.plot([x, x], [-0.05, -0.01], color='black', transform=ax.get_xaxis_transform(), clip_on=False)\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(f'{base_dir}/graphs/body_fat_percent_chart.png', bbox_inches='tight', dpi=300)\n",
"plt.show() # This is where the file is saved and displayed above."
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "470e871e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Displaying Metabolism Chart...\n",
"Estimated RMR from data: 1385 kcal/day\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x250 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Displaying Fuel Source Chart...\n",
"Resting phase fuel mix: Fats 32.9%, Carbs 67.1%\n"
]
},
{
"data": {
"image/png": 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HGwAAAJXK1KlTlZGRodmzZ1uFbkny8fHRrFmzlJ6ervfee0+SNHnyZJlMJkVFRal///7y8PBQ9erVNX78eGVlZVnWNZlMSk9P1/z582UymWQymTR8+HBJRV9nHRQUpN69e2vDhg1q1aqVXFxc1KxZM23YsEHSlV75Zs2aqUqVKmrZsqX27dtn1daIiAgNHz5cISEhqlKlivz8/PT000/r0qVLtn/RABiKHm8AAABUKsuXL1dQUJA6depU5PLOnTsrKChIP/30k1V5//79FRQUpClTpmjHjh2aNm2akpKS9MUXX0iSFixYoL/+9a9q06aNRo0aJUmqV6/eDdty/PhxDR48WKNHj9bQoUP1/vvvq0+fPvr000/12muvaezYsZKkKVOmqH///jpy5Ijs7K70ja1Zs0YnT57UiBEj5Ofnp8OHD2v27Nk6fPiwduzYIZPJVKbXCUD5IXgDAACg0khOTtbZs2f12GOP3bBeWFiYfvzxR6WmplrKgoOD9cMPP0iSxo0bJw8PD82cOVMTJkxQWFiYhg4dqjFjxigkJERDhw4tUXuOHDmibdu2qX379pKkxo0bq3v37ho5cqSioqIUGBgoSfLy8tLo0aO1adMmhYeHS5LGjh2rl156yWp77dq106BBg7Rly5Ziv1gAcPthqDkAAAAqjatBumrVqjesd3V5SkqKpWzcuHFWdZ577jlJ0sqVK2+5PY0bN7aEbklq27atJKlr166W0H1t+cmTJy1lLi4ulsdZWVlKSEhQu3btJEl79+695TYBKH8EbwAAAFQaVwP1tT3ZRSkqoNevX9+qTr169WRnZ1em+2NfG64lydPTU5IUEBBQZHlSUpKlLDExUePHj5evr69cXFxUo0YNBQcHS7rSsw/gzsFQcwAAAFQanp6eqlWrliIiIm5YLyIiQrVr15aHh0exdWxxDXVxM50XV242my2P+/fvr23btmnixIlq0aKF3N3dVVBQoB49eqigoKDMbQNQfujxBgAAQKXSu3dvRUdHa8uWLUUu37x5s2JiYtS7d2+r8mPHjlk9P378uAoKChQUFGQpK68JzZKSkrRu3Tq98sorevPNN9WvXz899NBDNrv9GYDyRfAGAABApTJx4kS5uLho9OjRhW69lZiYqDFjxsjV1VUTJ060WjZjxgyr59OnT5ck9ezZ01Lm5uamy5cvG9Pwa1ztEb+2B1ySPvroI8P3DcD2GGoOAACASqV+/fqaP3++hgwZombNmukvf/mLgoODFRMTo7lz5yohIUFff/11oVuBRUdH69FHH1WPHj20fft2LVy4UIMHD1bz5s0tdVq2bKm1a9fqgw8+kL+/v4KDgy0To9mSh4eHOnfurPfee0+5ubmqXbu2fv75Z0VHR9t8XwCMR483AAAAKp0nn3xSe/bsUXh4uObOnasxY8Zozpw56tKli/bs2aPHH3+80DrffvutnJ2d9corr+inn37Ss88+q7lz51rV+eCDD9SyZUtNmjRJgwYN0n//+1/DjuGrr75S9+7dNWPGDL366qtydHTUqlWrDNsfAOOYzNePXwEAAADuIpMnT9abb76pixcvysfHp6KbA6ASoscbAAAAAAADEbwBAAAAADAQk6sBuKtcunRJqampNtueh4eHvL29bbY9AMCdq1WrVjp//rz8/Py0e/fuim4OgNsI13gDuGvk5uZqwoQJSklJsdk2PT09NXXqVDk6OtpsmwCAO1OdOnUUFxen2rVr68yZMxXdHAC3EYaaA7hrODg4qHr16jKZTDbZnslkkre3txwcGDwEAACA4hG8Adw1TCaT+vXrJ1sN9DGbzerXr5/NgjwAAAAqJ4I3gLtK06ZNFRwcXOawbDKZFBwcrKZNm9qoZQAAAKisCN4A7iq26vWmtxsAAAAlRfAGcNcpa683vd0AAAAoDYI3gLtOWXu96e0GAABAaRC8AdyVbrXXm95uAAAAlBbBG8Bd6VZ7ventBgAAQGkRvAHctUrb601vNwAAAG4FwRvAXau0vd70dgMAAOBWELwB3NVK2utNbzcAAABuFcEbwF2tpL3e9HYDAADgVhG8Adz1btbrTW83AAAAyoLgDeCud7Neb3q7AQAAUBYEbwBQ8b3e9HYDAACgrAjeAKDie73p7QYAAEBZEbwB4HfX93rT2w0AAABbIHgDwO+u7/WmtxsAAAC24FDWDZjTIiRzri3aAgAVrklds4Lq1lbMqTj51Q1WRv2m2pVd0a0CANwJcq75l3MHcPsLdZC87ctnX2UK3ua8VCnzqK3aAgAVziTpiZ736KsfClTn0ScUXUBvNwC837mVJMnDr5ZGLVpewa25fbnX9FO++cq/J/MrujUAbsbOdIcEbxVk2qgZqMxmL9ysOV9uLXa5u5uz1n/3Yqm2uXxNhM7FJ0uSBvVtraruVcrURuBaTUKr6e9v/1vLsyq6JQBQWE5mpiKWL9XxTRuUEHNSuVmZcvP2kU9wiO558GE1fOAh2Ts6VnQz70r/3rK7opsAoBQyi76TrCHKFrzNeTZqBlA6K9Yc1N6DpyVJvR9qRvCGbZnzxF83ALejhJiTWvbKi0o+G2dVnnL+rFLOn9XJ7VvkE1xPNes3rKAWAsCdI/fOCd5c243Sub9ViEYMaG9VZm/PHH+4zZjzlGM268rAcwC4PWSmJGvJxOeVGn9ekuTuU0OtBw6TT71Q5WRk6Mz+PTq0yrbDwHMyM+Xk4mLTbQLA7aI8O1ro8Ua58qrmqhZNAwqVZ2bl6OM56xV57JziL6YoJS1Lzk6OCgmsrsd6NNdj3ZtLkvZEnNKYl7+2Wvex4Z9aHv8wb4z8favply1R+mrZbh2PuajsnFx5VHVRQC0vNW9cW88+Hc4s1bipPHOBpHK66AcASmD3NwstodvZ3V1DZs1X1Ro1LcvrdwpXm6EjZGdvr9SLF7R17n8VfyRKaQkXlJ2WJidXN9UIbaD7/jRQ9TuFW9aL3bdbi8aPkSQ16dFb9Tp01vb5/1PiqWi1GTJcHZ4ebdWO5HNn9cu09xW7d7ccnBzV8IGH1fmZ560C+tEN67Rn8Ve6ePK48rKzVcXDU16168i/aXN1HvMc52EAt4W8O6fHm+AN20jPyNGSlfusyvLysnUw6qwORp3VhYRUjRzSsUTb2hMRq1en/KCCgj/eSYlJ6UpMSteByDN6ZngXOdhzwseN5RXkieAN4HYS9cvPlsctnxxsFbqvcvPyliSdPXxQh1Za935npabo9L7dOr1vt3q+NllNevQutP6ZA/t0+P9+ksxFfxrNycjQN8+OVOrFeElSbqa0//vFunwuTn+aOk2SdHr/Hi2f/KrMBQWW9TISLykj8ZLiDh5Qp5FjZXIo8411AKDMynP8NsEb5eqntYf009pDVmW9ujXVhDEPafSwTgoKqK6qbs5ycLDTpaQMzVqwSbFxSVq4ZJeG92+vhvV8NWfqEE397xodPXlBkvTOa31V3ctNkuTj5a5FP+61hO6xw7uoacNaSkrO1IlTF7V+61EGD6NErvR4A8DtIScjw+q67jph996wvpt3dXUa/ay86gTK2d1dJjs7pcaf14aZHyvzcpJ2fPFZkcE7+Vyc/O5prNaDn5K9vYMcXV2tlmelJMuzob8efGGiUi7Ea9Os6crLylLMzm06sXWT6nXorBNbN1tCd6dR41SrUVNlXE5SQvQJHdu0XqK3G8Btgh5v3HXc3ZzVsJ6vvv1ht46ciFdqWpbyr+mxzsjMUcyZS6ofXFMtmgbI3c3ZsqxRAz/5+1azPHdw+OOa8UB/L9UP8VU1DxdJjfTMU53L43BQCeQW09sDABUhOz3N6rmbT40b1ves5S83bx/tXfy1Lp48fmX9a/6uJZ2JVXZ6mpzd3K3Wc3Rx1RPvT5eLh2ex2+79xr/lVefKZWMZiZe0Y8FnkqRjmzeoXofOsrumN7tanQDVCK0vF89qkqSOf33mpscKAOWFa7xRaRU1uZq3l5t+2XpEL7+97IbrpqaV7N5OPR5ooq+X/aqc3Hy98u/vr+yjmqvCGtfRn3rfp7b3Bt1K03GXyRM93gBuH9cH5PSEi6peN6jY+rsXfakNn3x4w21mpxUO3rWbNb9h6K7i4WkJ3ZLk16iJ5XHyuSs98o0e6qE9i79Sfk6Olr/+iiTJ1ctbtZs2V4t+f1LdVm1v2C4AKC/l2c3CrOYoV8VNrjZl+mrL494PNVOP8MZydnLQ/77aqp37YiRJ5hL2QIYG1dAX04dr2ar9Ohx1TjFnLinxcoY2bDuqTTuOafbUIWreuI5NjgeVVx493gBuI06urvL0r20Zbh536IACW7Yutv6+JYssj1sPekrBbdrLztFRaz94Rwknj0uS1TXYV7n+fo14SRU1SVqNkFANm7NAET8u07nfDikxNkYZSYk6tnm9jm/dqIHT56h2s+al2g8A3OnKGLzzbdQM3O0uJPwxhG7iMw/J1cVJBQVmXbiUVmR9O7s/TvTXf24wm82qV7eGJox5yFL2y5Yovfyv71VQYNbG7ccI3rgp/roBuN3c0/Vh7Vz4uSRp97dfqlmvx+R+3ZDz9KRE2dnbKy3hyjwoLp6e6vLM85Ku3BosLeHiDfdxs9nGs1KSlXTmtKXX+1zkH/O2eNaqLenKedgnuJ66jp9gWXZ0wzr9+PrLMhcU6PiWDQRvAHedMk4pSY8QbKNWTQ/FxiVKkmYt2Kx2LYO1ct1hRccmFFm/qnsVy+PvV+9Xh9b15OzkoMYNaumLxTu152CsOrauJ9+aHnJxdtT2PdGW+jm5XCKBm6PDG8DtptXAoYpcs0qp8eeVnZaqL0cPV6uBQ1UjJFQ5Gek6/ft9vAd8PEsevrWUdCZWmcnJ2rlwnmrUC9Xe775RVkpymdvx01t/V7un/qLUixe057s/bvEZ2rGLJGnXV/N1ev9ehbTrIA9fPzm6uCjm1x2Wevk5jJgEcPfhXg64LfTr2cIypPyrZb/qq2W/ytnJQY3q++m3Y+cL1W8VVlfrtx6VJM1ftEPzF+1QrZoe+nH+WOXl52v77pPavvtkofXs7Ex6qFMjQ48FlYOZLxYB3GZcPDz1xNRpWvbKi0o+G6fUi/FaP/0/RdYN69NPG//7sSRp8+xPrqzvWU3egXWVGHvqltvg7O6u5PPn9P1rL1mV123VVvU6XJnAtCAvTzE7tylm57ZC65vs7NSwa7db3j8A3KnKONScD6awjQc73aNXn+uhL5fuVPzFVNULqqHn//KAlq+JKDJ4P/5IC8UnpOrnjZG6kJBqdc/uDq3r6UJCqg5ExuliQqrSM7Ll7uasRvVraeif2qp5E4aZoyS43Q2A249PUIj+/Pk3ili+VMc2rdelmGjlZmbI1ctb1YNC1Khbd1UPCpFPSKjyc3MUseJ7ZVxOUq1GTdT1+Yla9/F7ZQzeVfWn96frl+kfKC5in+wdndTwgW7q8sx4yzD1kHYdlXbxguIOHlBawkVlZ6TL2c1dfg0bqfWgYardrIWNXg0AuHOYzCWdsaoI5subpdx4W7YHAG4Le9we1nF5VHQzAAAAYKCBruWzH7ubV7kRerwBVE78dQMAAICtELwBoEgMNQcAAIBtlDF4A0DlxORqAAAAsBWCNwAAAAAABiJ4AwAAAABgIII3ABTBxDXeAAAAsJEyBm8+mAKorLjGGwAAALbhUNENQOV3PPqC5i/eqajj55WQmKbMrFy5uzmrfnBNPdY9TD0eaGKp+/3qA1q3OUonYxOUnJIps9ksH2933dssQMP7t1dQQHVL3XPxyfpwzjrtPXhaktSyWaBeHP2g/Gr8ce/lvPwCDR77mS4nZ2jp3FFyd6tSfgeOOxo93gDuNMnnz2nXws8VvWuH0i9dlKOLq6r511b9zg+o7dARkqRDq5Zr9ZQ3b7idOi3u08BpsyVJF08c14YZH+p81GE5ODkruF0HdRk7Xi4enpb62Wlp+t/gfnKt5qU/f/aV7Bz4eAkA1yvjX0Y+mOLmjkZf0Or1h63KklMytfvAKe0+cErnLqRoxID2kqSfN0bq1/2nrOqejU/W2fhkrd96VF9MG666dbxVUGDWhLeW6Fj0Bb05oY8k6Y33l+ts/GXN/3i47Oyu/N9cvHyPomMT9PfxPQndKCV6vAHcOeIO7teS/zdeOenplrL83GSdT0lWVmqKJXiXhP3vwTknI11LJj6nrLRUPfrmO0qIOalN/52mrJRk9f33fyz1t30+S5mXk9T79bcJ3QBQjLL9dTQRvHFznu4u6tujue5tFiAfL3elpGXpq2W/6uBvcZKkb3/YbQne9UNq6r5mgQqp6yN3V2edjE3Qp19sVnpGtjIyc7R8TYSeHRGu2LOJOnryguoH11DPrld6zL9YvENRx+N15lySAmt763JyhuZ8uUX3hPrq0YfDKurwcYeixxvAnSIrNVU/vv6KctLTZbK3V1jvvgpq014Ozs66HHdGSbF/fKEd3K6DBn7yv0Lb2PTfaTp7OEKSFNoxXJIUdyhCaQkXVa9DZ4W076jgdh20c8FnOrFts/Kys+Xg7KxLMdHat3SRQjuFq26rtuVyvABwJ+JrSRiuQ5t66tCmnlVZgL+Xhj77uSQpIzPHUv7iyAet6rW5N0hx5y7rmx92W9XNzc2XJDk42FvqOjpeeZyTkydJmjl/k1LTsjVhzEOWHnCgpPgfA+BOEbFimdIvJUiS7h8+Uu3//Ndi67p5ecvNy9uqLP1Sgs4fiZQkObm6qUmPXpKk/Jwr51x7R0dJkslkkp29g8wFBcrPy5WDs7PWT/+PTPb2Ch/3gq0PCwAqFYaao1wVFJh1KSlNy1but5S1DAsssm5OTp5OnErQtt0nLGWtfq8bVKe6alR317HoCzpyIl4mk3Qs+oJq+lRV3TrVdeREvH74vwPqHt5YzZvUMfSYAACoSCe3brY8NpvNmvfnAbocd0YuXl5q1K2H7h8+Ug7OzsWuH7HiexXkXfnSuvHDj8jJ1U2SVKtxUzm6uOj0vj1KiT+vhJPHlZl8WX6NmsjZzV3Ht2xUzK871HbYCFXz51wLADdiMpvNt3whozl5u5QTZ8v2oBIb8cIXOnTkrOW5ySR1aF1P/3jxEXlXc7OUx5y+pCdHzbFat6q7s556sp2G929vKTsQeUZvffCTYuOSJEmBtb00+aXeataotkZNXKio4/H6bs4o1fSpqqysXGXn5smzqovBR4nKIsK9u34zV63oZgDATc3o86Ayk5OLXR7Uup2eeH+6TEVcIliQn685/R9V6sV4SdLw+d/KJ/iPUWrHt2zUmv9MsfSo+97TWL3+8U95+NbSvD/3V15Ojp5euEROLi7KTk+TJDm7udvy8ADAUANdy2c/ZbzGm5HquHV2JpMc7O1UUHDz737s7ex0/VdEzRvX0ZL/jVZC4pUTvY/3lRP9zxsite/QGT3zVGc5OdrrpTe/05ZdJ1RQYFa9oBp6c0JvNazna/PjQeXiYDIxvxqAO0JWWprlcZWqHnrg+ZckSeun/UdZqSmK+XWHTmzZqNBO4YXWPb5loyV0B9zb0ip0S1Joxy6q16GzUi/Ey8G5ilyrVZMk7Vw4T5fjzuiRSf9URlKilkx8Q3EHD0iSajcNU8+/v6Vq/rUNOFoAuDMRvFFuXhvfQympWYpPSNGSn/YpIjJOG7YfU3xCqr6YNtxSz6+mh+ZMHaKs7DwdPRmv+Yt26HJKpmbO2yg3Fyf1f7Sl1XavBm5JysrK1bTPNsjfz1NDnmijf364Upt2HFf38MYKDqyuWQs26/+9vVSLZ42UkxP/f1E8By6lAXCHsHd0VF7+lblPmvd9Qk26X7lGO/FUjHYuvDKfyqk9u4oM3vu//87yuEW/J4vcvslkkoevn+V5WkKCdiz4TP5Nw9TooR76etxfdPZQhO770yBJ0t7vvtbKt/+hwTM/s8nxAUBlQPBGuakfXNPyuOv9DdVtwMfKzsnTb8fO69SZRNWtc2WylyrOjmrRNECS1K5lsKp5uuqfH66UJK3eEFkoeF9r3qLtir+Yovcm9ZODvZ3WbYmSo4O9/j6+h1yqOGnb7pOKiIzT4aPndO/v+wCK4mCyq+gmAECJeNT0U2JszJXHvrX+KL8mLGdfc5uxqxJPn1Ls3l8lSe4+NVT/99nMb2bTrGnKy85S1/ETlXohXmcPRahqDV91/b2n/ejGdTp7KEIp8eet2gAAtxv7m1exmbJ9srRztFEzUJllZecWveCaDsW09Czl5OSpqCkHrr0kLS0tq9j9nI2/rIVLdql1i7p6oENDJadmKi+vQNU8XeRSxUmSVKumpyTpUlLhDyDAtRwJ3gDuELWbNbc8To0/b3mccuGPxx41C19itX/Zd7p6HVfYo4+X6B7cZw8fVOTPq9S0Zx/5NWxkufa7qu8f278attMTL5XySACgfJVnmqXHG4Z76vn5anaPv5o3qSO/Gh5KSs7Qdyv2Kjv7ygyqzs4OCgqoroNRcXr7o1V65MGmqlfXR26uzjoec1Gff7PNsq2GocV/c/7xnPXKyy/QS2O6SZK8PF1VxdlRqWnZyssvkIO9nS4nZ0iSatX0MPCIURnQ4w3gTtGsd18dXPmjZDZr/w9L5F03SJJ04Ielljr1u3S1Wic3K0uHVy+XJNk5OKh5n3433Y/ZbNYvH0+Vs5ubOo4aJ0nyqOUvScq8fNlS7+pjD79a128CAG4rDuV4ZSHBG4bLysrRjz9H6MefI4pcPv6vXeXmeuU2J2fOXdbshVuKrFfdy02jh3UqctnuA6f0y9YjGvBoS9WrW0PSlWvS+vZorm9+2K3Pv9mmBiE1tffgad0T6qtG9fkwgBtzMJXn4CMAuHX+TZqp9cCh+vXrBcpKSdbKt1+3Wt5m8J/l2+Aeq7Lf1qxS9u+TstXv/IDcqvvcdD+HVi3X+ahIhY97wXIvcDcvb4V27KLjWzYqYsX3MklKOhOr0E7hhe4XDgC3m/JMswRvGG7oE221eedxnYxN0OXkDJnNUo3q7mrWqLae6HWv5VrrwNreGvBYSx04fEbnL6QoNS1LVZwdVcffS+1bhWhw39byqlZ4vv/8/AL959O18vRw0aih1sH82afDZWdn0verDigrO1cdWodowjMPyc6OibNwI3ZytKPHG8Cdo8sz4+UTXE/7li5SQsxJSVKNkFDd+/gANX64Z6H6106qdm+//jfdfk5GujbPniHvwLq694mBVst6vPqG1n/yobbMmSlJatKjtx547m9lORwAKBeO5RgJynYf75zzUnLRvZMAcMcyOSnN+1H9VPyUAgAAALjD1bKTulQpn32VrUvHxORqACohk6OcGBQBAABQqZVnj3eZxor/693/SuYCSZK9vUmvjAqzSaMA2M47syOUn194YAvv2RtwriVnk+RjJyUXVHRjcDeK/GiKzAX5hcpNdvZq/MKrFdAiADfCexa4s1x9zx6TdP+kSeWyzzIF7/z8a/7AmOxk8nmsrO0BYGP5BQeVX1BEeuQ9e1PdymnoEXC93wryVZBf+EO8naQnCk91AaCC8Z4F7ixX37O3fM31LWD2IAAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAOZVnZ3t6+yMcAbh/FvTd5zwK3L963wJ2F9yxwZ6mI96bJbDaby32vAAAAAADcJRhqDgAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYyKG0K+Tk5OjTTz/VypUrlZqaqtDQUD3zzDNq166dEe0DUEKHDx/WihUrtGfPHp09e1aenp5q1qyZnnnmGdWtW9dSb/LkyVqxYkWh9evWraslS5aUZ5OBu9ru3bs1ZsyYIpd9/vnnatasmeX5gQMHNG3aNEVFRcnd3V3dunXTuHHj5OrqWl7NBaDiz6FXrVy5UjVr1tSoUaO0d+/eQsvbt2+v6dOnG9lE4K6VkZGhBQsW6NChQzp8+LBSUlL0xhtvqE+fPoXqRkdH64MPPtD+/fvl6OioDh066G9/+5u8vLys6hUUFGjBggVasmSJEhISFBgYqOHDh6tHjx6lbl+pg/fkyZO1bt06DR48WAEBAVqxYoXGjx+vWbNmqUWLFqVuAADbmD9/vg4cOKBu3bqpfv36SkhI0OLFizV06FB9/vnnCg0NtdR1cnLSpEmTrNZ3d3cv7yYDkDRw4EA1btzYqiwgIMDy+MiRIxo7dqyCgoL04osv6sKFC1q4cKFOnz6tadOmlXdzgbva448/rjZt2liVmc1mTZkyRf7+/qpZs6al3NfXV+PGjbOqW6NGjXJpJ3A3unz5subMmSM/Pz/Vr19fe/bsKbJefHy8Ro4cKXd3d40bN04ZGRlauHChTpw4ofnz58vR0dFSd+bMmZo3b5769eunxo0ba+PGjZo0aZJMJpO6d+9eqvaVKngfOnRIP//8s8aPH69hw4ZJknr16qUBAwZo2rRp+uyzz0q1cwC2M2TIEP3rX/+y+mPx8MMPa+DAgZo/f77++c9/Wsrt7e31yCOPVEQzAVynRYsW6tatW7HLZ8yYoapVq2rWrFmWL8j8/f319ttva8eOHYw4A8pRWFiYwsLCrMr279+vrKysQj1gbm5unGuBcuTj46PVq1fLx8dHkZGReuqpp4qs9/nnnyszM1MLFy6Un5+fJKlJkyYaN26cli9frscff1ySLF90P/nkk3r55ZclSX379tWoUaM0bdo0devWTfb29iVuX6mu8V63bp3s7e3Vr18/S5mzs7Mee+wxRURE6Pz586XZHAAbat68uVXolqTAwECFhIQoOjq6UP38/HylpaWVV/MA3EB6erry8vIKlaelpWnnzp3q2bOn1aiUXr16ydXVVWvWrCnPZgIowurVq2UymYocepqXl6eMjIwKaBVw93FycpKPj89N6/3yyy/q1KmTJXRLUtu2bRUYGKi1a9dayjZu3Ki8vDw9+eSTljKTyaQnnnhC8fHxOnjwYKnaV6oe7yNHjigwMLDQkNQmTZpIko4ePWp1AAAqltlsVmJiokJCQqzKs7Ky1KVLF2VlZcnDw0Pdu3fXc889x/WiQAV46623lJGRIXt7e7Vo0ULjx4+3DD0/fvy48vPzCw1Fd3R0VIMGDXTkyJGKaDKA3+Xl5WnNmjUKCwuTv7+/1bLY2Fh16tRJubm5ql69uvr27auRI0fKwaHUV3oCsJELFy4oMTFRjRo1KrSsSZMm2rZtm+X5kSNH5OLiouDgYKt6TZs2lSRFRUWV6lLrUr3zExISivwW4WrZxYsXS7M5AAZbtWqVLly4oNGjR1vKfHx89NRTT+mee+5RQUGBtm/frsWLF+vo0aOaNWsWHwiAcuLo6KiuXbuqQ4cOqlatmqKjo7VgwQKNHDlSc+fO1T333KOEhARJKvbcu2/fvvJuNoBrbN++XcnJyerZs6dVeZ06ddSqVSuFhoYqMzNT69at09y5cxUbG6spU6ZUUGsB3Oy8mpycrJycHDk5OSkhIUHe3t4ymUyF6l27rZIq1Sfs7OzsQkNZpSvd+leXA7g9xMTE6N1331VYWJh69+5tKX/22Wet6nXv3l2BgYGaOXOm1q1bV+qJIgDcmubNm6t58+aW5126dNGDDz6ogQMHasaMGZo+fbrlvFrcuZfzLlCxVq9eLQcHh0LzNLz++utWz3v16qV//etfWrZsmQYPHmx11wIA5efqefNqfr2Ws7Ozpc7Vc2xR9W41+5bqGm9nZ2fl5uYWKs/JybFqLICKlZCQoPHjx8vd3V3vvvvuTSd+GDx4sOzs7LRr165yaiGAogQEBKhLly7avXu38vPzLefV4s69nHeBipORkaGNGzeqffv2qlat2k3rDxkyRJK0c+dOg1sGoDhXz5tX8+u1rgbpq3WcnZ2LrHer2bdUwdvHx6fILvWrZdwiAah4aWlpev7555WWlqbp06eX6H1ZpUoVeXp6KiUlpRxaCOBGfH19lZubq8zMzBsOZ0tISOC8C1SgDRs2FDmbeXGuzoPEuRaoODc7r3p6elp6tH18fHTp0iWZzeZC9a7dVkmVKng3bNhQsbGxhWZCPnTokCSpQYMGpdo5ANvKzs7Wiy++qNjYWH344YeFJlUrTnp6ui5fvlyib+wBGCsuLk7Ozs5ydXVVaGio7O3tFRkZaVUnNzdXR48e5bwLVKDVq1fL1dVVXbp0KVH9M2fOSJK8vLyMbBaAG6hZs6a8vLz022+/FVp2+PBhq/NqgwYNlJWVVejuQFezb8OGDUu171IF7wcffFD5+flatmyZpSwnJ0fLly9X06ZNmdEcqED5+fl69dVXFRERoXfeeafQfUalK8E8PT29UPn//vc/mc1m3X///eXRVACSkpKSCpUdPXpUmzZtUtu2bWVnZyd3d3e1bdtWq1atsnrv/vTTT8rIyLjh/b8BGCcpKUk7d+5UeHi4qlSpYrUsLS2t0PBUs9msuXPnSpLat29fbu0EUFjXrl21efNmq1th79q1S7GxsXrwwQctZV26dJGDg4MWL15sKTObzVqyZIlq1qxZ5GftGynV5GpNmzZVt27d9MknnygxMVEBAQFasWKFzp49q3/84x+l2jEA2/roo4+0adMmderUSSkpKVq5cqXV8kceeUSXLl3SkCFD1L17dwUFBUm6MiPr1q1bdf/995f4W3sAZffqq6/K2dlZYWFh8vb21smTJ7Vs2TJVqVJFzz33nKXe2LFj9fTTT2vUqFHq16+fLly4oC+//FLt2rXjyzKggvz888/Kz88vNJu5dOUWQ3//+9/VvXt3BQQEKDs7W+vXr9eBAwfUr18/3XPPPRXQYuDu8O233yo1NdUyHHzTpk2Kj4+XJA0cOFDu7u4aMWKE1q5dqzFjxmjgwIHKzMzUggULFBoaqkcffdSyLV9fXw0aNEgLFixQXl6emjRpog0bNmjfvn16++23bzqH0vVM5usHrd9Edna2Pv30U61cuVKpqakKDQ3VM888w7d3QAUbNWqU9u7dW+zy3bt3KzU1Ve+9954OHTqkixcvqqCgQHXq1FHPnj01bNgwbiUGlKNvvvlGq1at0pkzZ5SWliYvLy+1bt1ao0aNUkBAgFXd/fv3a9q0aTpy5IhcXV3VrVs3Pfvss3Jzc6ug1gN3txEjRiguLk6rVq0q9OE7Li5O06dPV2RkpC5duiSTyaTg4GD17dtXjz/+eKFbEwGwnT59+ujcuXNFLvvxxx/l7+8vSTpx4oQ+/PBD7d+/X46OjurYsaNeeOEFVa9e3WqdgoICzZ8/X0uXLlVCQoICAgI0YsSIIr90u5lSB28AAAAAAFBypbrGGwAAAAAAlA7BGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAA/1/dhR2ImuUWpkAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 1000x250 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x250 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x250 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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tXry4tmzZog8++EB16tSxObIgPj5eX375pUJDQ+2anCo7d7plWPoEb9Lta5unTJlyV8fKj/PLrW7dupl6R9M99thjKlWqlEOPbRhGtiE5K7t379YLL7yQ40BnZDFBWk4ZhpFn+8pLjz76qGJjY9W7d2+VLFnSZp1t27ZpwIABd7xvvSSruQ4kWX0hYasOAAAA/h7yZvat//H399crr7xic1KpnEyqZmvyokOHDlmVpaWlWc0CnTkANW/e3PQH8JYtW7Ro0SLLcvqw4fR/09LSNHbsWFMg9vPzU82aNe1uf0aenp7q0aOHqWzGjBlWQ8sz94inK1q0qN5++21t3bpVN27c0LZt2zRnzhy99dZbpntmnzhx4q5DcE5knsyrWLFiGj9+vLZu3WrpGf/www+z3c+9en6Zubi46Pnnn7cqf+mll+zeR+bXtZeXlw4dOpTlyIKMD3uGONsya9YsS0+zdDsMDhkyRBs2bNDBgwd15MiRXN0n+tixYzZ7gI8cOWJaLl68uFxdXSVZn/+JEydsjozIfGmJZP2+zgt169bV5MmTdfbsWZ09e1YxMTH67rvv9Mgjj5jqffnll7p06VKeHx8AAAB/DzkK3RcuXFDPnj0VGxt7x3qZA7aLi4t8fX3tPk6ZMmWshphOmjTJMqQ33U8//WR1HWR4eLhpuVixYgoODrYsJycnm2YXTg/bGbf74osvTPto3rx5ttev30nmYeOTJ09WVFSUZdnDw0NPPPGE1XZnz5419RIWLFhQtWvXVvfu3fWf//xHffv2NdXPfEsuR8o8VPrpp59W//79VadOHUvPeMbreW252/PLfB31zZs3c3Mqdnvuuecstw+Tbt8mLCwszO7tmzdvblq+evWqNm7cmOXIgoCAAJ09e1aXL182vf5sXT+e1bln/n+qWbOmPvroIzVs2FAVK1ZUQECA4uLi7D6HdJcuXbK6POLMmTOm17Uk0wzzzZo1M61LTEzU1KlTTWWpqamaOHGiqczPz09Vq1bNcRvvJPNw9ZIlS6pJkybq27evZs+eLS8vL1Ob8vKacgAAAPy9uOakcmpqqn766Sf99NNPqlatmjp37qywsDAFBgbK09NTFy5c0K+//qovv/zStF2TJk3smmgqo+eff15vvPGGZfnIkSNq2bKl/v3vf6tUqVJas2aNBg8ebNrG29vbdHundBEREdqyZYtlOf0P7iJFiliGdGecKCtzr1Zuh5ana9KkiapWrap9+/ZZziWjRx55xObw008//VSzZ89Wp06d1KhRI1WuXFne3t5KSkrSli1brHqbMw5jd7QSJUrowIEDluVZs2apWbNmCgoK0unTpzVu3DgtWLDgjvu42/MrUaKEaXnZsmWKjo5WpUqV5OzsLA8PD5v3ls8tX19fjR071hL+M06MZY8mTZqoTp062rZtm6XsmWee0e+//65OnTqpdOnSunnzpg4fPqyNGzdq3rx52r17tyZNmqS6detatsl83pI0evRovfzyy5YecX9/f3l4eFjV3b17t0aPHq02bdooISFBc+fONd1eLCf69OmjCxcuqHHjxjp69KjefPNN3bp1y1Qn4wRj3bt31xtvvGG5LZ90e6TAlStX1KpVK8XHx2vEiBHavXu3aR/PP//8XX3pZUtwcLCqV6+uyMhIBQcHq2zZsipUqJAuXbqkmTNnWi4/SfdXvrcAAADwgMnJVOdnzpzJ0S2m9L/bdC1evNhqX9ndMiwxMdFo3Lhxjo71/fff22z3b7/9ZrN+ZGSkqV5gYKDNevv378/J02TTxx9/nGW7ly1bZnOb1157LUfnv3z58hy1ydatpzL/P2Ql8+3AbD1KlSplVZaX5zdmzJg71m/WrNldPx8rVqywe/vsbhlmGLdvz2XvLffSH5MmTTLtIzU11ShRosQdt0lvd2xsbK7+nzKfd+Zbhrm6uma737CwMKvb7M2dO9dwdna2+9yDg4OzvWVXTm8ZZhiG4evra3cbAgMDjdTU1BwdP/PzZeu1mNe3vAMAAMC9KUfDywsUKJCjHh8PDw+NHz9ebdq0yclhJEnu7u5asGCBOnXqlG3dQoUKacqUKXryySdtrn/44YdtzpKcsXfb1rJ0e4blypUr29nqrPXq1ctybWtGgYGBatGixV3vf8iQIXmyH3u9+OKLVsOFM2rVqlWOZ62/E1vn9/TTT5smd7sfhISEaOnSpVazfGfF3d3dqrc6/bpse9SvX99qREhG5cqV0/Tp0+3aV0ZNmjSxOXdDusqVK2vWrFlWM3Z36dJFP/30k2n4dlYiIiK0ePHiXF/Pnhd8fHw0Y8YMmzO1AwAAAPbI0fByX19fxcfHa9WqVVqzZo1+//13HTp0SGfOnNGNGzfk6uoqb29vVa1aVREREerbt+9dhaJixYpp3rx5WrFihaZNm6Z169bp9OnTunnzpry9vVW9enW1bt1a/fv3l5+fX5b7KVy4sBo0aGA1I3nmkB0eHm51jWleBVl/f3+1b99e8+bNM5X37ds3y6GzQ4YMUePGjbV27VrFxsbqzJkzOn/+vG7cuCFPT08FBASoUaNG6tu3r+na2b+Cu7u7oqOjNXr0aH3//ffav3+/3NzcVLVqVfXq1UsvvPCCpk2bdsd93O35eXl5ad26dXr//fe1ZMkSnTp16o63LLtXhIWFac+ePfrxxx/166+/6vfff9eFCxeUlJSkokWLKjAwUMHBwYqIiFCHDh1sBtRBgwbJz89PX3/9tbZv365r165lOUv4f//7X9WvX19jxoxRXFyckpOTVbZsWXXt2lVDhgyxGkptr88//1ytW7fW2LFjtXnzZiUkJKh8+fLq0aOHBg8enOUXdI888ohatGihiRMnatGiRdq1a5cuX74sNzc3+fv7KywsTE8++aTVPb/zUvrvsJiYGO3Zs0fnz5/XhQsXZBiGihUrpmrVqqlNmzbq379/juajAAAAADJzMrL6Sx0AAAAAANwVxkwCAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4iGt+NwAPnvj4eF2/fj3P9le0aFH5+Pjk2f4AAAAA4K/iZBiGkd+NwIMjOTlZr7/+uq5du5Zn+/Ty8tKIESNUoECBPNsnAAAAAPwVGF6OPOXq6ipfX185OTnlyf6cnJzk4+MjV1cGZQAAAAC4/xC6kaecnJzUrVs35dUACsMw1K1btzwL8QAAAADwVyJ0I8/VrFlTgYGBdx2UnZycFBgYqJo1a+ZRywAAAADgr0XoRp7Lq95uerkBAAAA3O8I3XCIu+3tppcbAAAAwIOA0A2HuNvebnq5AQAAADwICN1wmNz2dtPLDQAAAOBBQeiGw+S2t5tebgAAAAAPCkI3HCqnvd30cgMAAAB4kBC64VA57e2mlxsAAADAg4TQDYezt7ebXm4AAAAADxpCNxzO3t5uerkBAAAAPGgI3fhLZNfbTS83AAAAgAcRoRt/iex6u+nlBgAAAPAgInTjL5NVbze93AAAAAAeVIRu/GWy6u2mlxsAAADAg4rQjb9U5t5uerkBAAAAPMgI3fhLZe7tppcbAAAAwIPM1d6Kf6QmamfyEUe2BX8TRiUXlSpbWmdOnFbZsmVVqlQpxcfH53ezAAAAAMBu3t7ecnFxybae3aH7RPJ5nfO4dleNAtLV6tpQyTPXqHnz5rpx40Z+NwcAAAAAcsTNzU1FihTJtp6TkdU9nDLZlnhQxz3ojUTeKHirgCqf9c3vZgAAAABArnh5ecnb2zvbenZf052qtLtpD2CS5szrCQAAAMD9y87+a/tDd4pSc90YILM0J/teoAAAAABwL0pLs68jkdCNfJHqTOgGAAAAcP/K89Cd6sRwYOQderoBAAAA3M/yfHg5oRt5yklK4zUFAAAA4D5FTzfuean0dgMAAAC4Tzmgp5uAhLyVxnXdAAAAAO5T9HTjnsd13QAAAADuV/b2dLvau0MCUvY6Pxtm+Xlgn7fVsknHfGyNtdHfva/l63+TJNWsUlcfvfFVvraHnm4AAAAA96s8D915LWbzMm3fs1kHj+3R0VOHlJKSbFk375sNVvUPHN2j6DW/6tCxvYq/ckHXb1yTs5OzvIoUU8VyVdWiUTs1qtfcajvDMLR6U7RWblikIycO6FrCFcnJSUULeyugTEU1C41U87C2cnJysmxz7uJpPTuk+x3b7+zsorlfr831+WeWlHxLK9ZHKXZ7jA4f369rCVdlGIaKefmoQrmqCq3zsB6u30ru7h55dsz8RuQGAAAAcL+650P3rIWTdeTkAbvr79y3RYtXz7Uqv3DprC5cOqsNW1epS6vH1a/nK6b1o74bppUbFlltd+nKBV26ckFbdm7Qlp3r9dqz7+f0FPLMzv1xGjnxPV28fN5q3fn4szoff1Yb4lbJSbrnes8BAAAAAFmzO3Qbed0v6eQk/xJlVDmgmi5fjdfO/XF3rO7s4qIK5aqoUvnqKublK1cXV506d1wxsUuVkpoiSZq37Ed1i3xKPt7FJUkHjuw2Be5SfmXULDRSKakpWr5uoS5dvShJWrUpWo916KtypQOtjutf4iG1a2bd652xZ/xu7Nq/Ve+NGqjklCRLWdUKNVWraog83Avq0tWL2rF3s06cOZonx7u30NcNAAAA4MFmf0933mRMi0/+NUHubreHSs+Y9022obtLq8fVpdXjVuVl/Mvr+7lfS7rdvX/h0llL6D5z4ZSp7hvPfahK5atJkiqVr6r/jn/Lsu7a9cuSrEN38WJ+6hb5pP0nZsPuA1s19PNBSrx1U5IUUrORhrzwXznJSaO+G2YJ3M5OzhrY9x21aNTOah/b9sTK1aWAZXnHvt+1Yv0iHT6xT5evxt8ebu/sLB+vEgqqXEddWj+hgDKV7G7j0ZMHNWfRNO05uE2XrsbL2clZRYt4q1SJMqpSIUgdWzwq32J+d/U8ZGbk8WsKAAAAAP4q9/zw8vTAnVu3khJ16uxxbd6xzlLm6lpApfzKWpbLlg4wbbN+ywqVLllWqakpis2wnVeRYqpQrqrN4xw6vk+9Xmuv6zeuyrNgEQWWraxWTTqpWcM2drVz3+GdGvbFq5bAHRbcTG/0/1AFXAtoTewSnY8/Y6nbvsUjNgO3JNWp3sC0HLt9rZaunW9V7+yFkzp74aRWbYrWuy99puAaodm28fjpI3pj+D91KynRVH7x0jldvHROO/b9rppV6uZ56AYAAACAB10OhpffGz6b+J5WbVxsVe7s5KxnHn1JRQt7WcoCy1RWp5Y9NX/Zj5KkWb9N0azfppi2q1iuql7sNUSFCnraPN7NxD90M/EPSdK1hCvatidW2/bEatO21Xrtn+/L2Tnru64dPLZXQ0e/Ytm+af2Weu2fw+Ticvtp37Zns6l+qyadsjt9Cw+3gqpZpa7KP1RRRTy95ObmrusJV7V5x1qdOHNUKSnJ+uaHkRr3/g/Z7mv5uoWWwF28mJ+ahbWVh5uH4i9f0LHTh7Tv8C672wUAAAAA+FO+9XTnJQ/3gnr+yTdt9hI/+/gglfEvr29+GGm59jtdkcJeatYw0uYwbCcnJ1UJDFLFclXl7eWr8xfPaHVstJKSbkmS1sQuVY3KwerQ4lGbbTp68qC+m/WFbtxMkCS1aNReL/f5t1ycXSx1Ll25YNqmTKnydp/zP7o8q7S0NB08tkcnzhzVjT8S5F3UR/VqNrJc/33izFFduHROJXxK3nFfGa8nb9/iUT3arpdpfcKNa3a3CwAAAADwp3y7pju3mjWMVIWyVXTjj+s6fGK/tuzcoMRbNzXqu2Hae3iHnn/yTVP9b3/6XL8umSlJKu5TUi3C2iolNUVL1y7Q9YSr+m7WF9q5f4vefvFTyzbeRX00cfgvKuHrb9pXp1Y99MZH/1RS8u3gvWztgixD969L/+xhbvNwF73w1OA79ornVNzujRo7ZbguXDp7x3rxl89nG7prVA7W/GU/SZK+n/u1Nm1bo4f8y6tMyXKqUiFINSoHm74syCv3yugJAAAAAHCU+66nu36txqpfq7FlecX6KI36bpgkKWrlz6obFKaw4HBJUuy2GEvgdnZy1vA3vlLJ4qUlSQ1qN9VbI56XJG3aFqOtuzdZrn92d/OwCtzS7eHqNavW1Zadt+8jbu+M4iWLl7YZuH28S5iWT545pgrlqmS7v/grF/TRuMFW12DbkrEXOytNQiLUrc2TWrB8lpJTkrT30A7tPbTDst7P11/vvjRS5R6qkO2+AAAAAAB/sr/r9R7tlmz4v4Cdbue+LZaft+3985rpIoW9LIFbkiqXr27a7sgJ++8Znu5Otw0r4//nUPFpv3ylhStmW9WpU72+aXnZuoV2HTd2W4wpcD/z2Mua+flSzftmg8YOm2nXPjLr+9hLmvrZb3rv5ZHq12Og2jbrZvlS4Hz8WX01Y0Su9nsn98jgCQAAAABwmLwb7+xAScm3FLd7o811sdvXmpYzBrm0tFTLz9cTrurcxdOW5QPH9pi2c3Nzt/w8Z9E07T6w1epYR08e1M59f97arPxDFbNsc/e2T6tF2J/XmE+Y+ZmWr/vNVCcsuJn8MvSoL1wx2+YkcdLtW4bt2n+7TdcSrprWtWrSUZ6FCkuSYjYvzbJNWTl74bQS/rguz0KFFVKrsbq0fkIvPDVY/Z94zVLn8LF9Od4vAAAAAPzd2T283El529n928o5Ovu/+2hnHMosSd/N+sLyc7tm3VWksJfeGzVQfr7+ql2tgfxLlFZKaoqOnjyo2O0xpm3r125q+blm1XpasHyWJCnNSNOQEc+brulO5+zkbLol195DOzRlzjiVf6iialcLkVeRYjp74fTtidT+dz23JLVv/kiW5+ck6eU+/9bVhMvasnODDMPQF1P+Iw+Pgmpcr4UkqUABNw3s+47eG/2KUlKSlZaWqs8mvqeFK2arVtV68nAvpPgrF7Rj72adOHNUA/u8raAqwSrjX850rPfHvKZ6NRvp6MmDWvf78js+77bEbF6qGfO+Ua0q9VSqZFn5ePkq8VaiVm+KttRJD/UAAAAAAPvZf023oTwdDxwTu1Q798fZXDc3eobl5wa1m6jI/24Ddj7+rM17U6d7rH1v05DtRnWbK6xuM22IWyXp9n2nM98yTJJ6dnzGNBw83bFTh3Ts1CGbx+rS6vEs76mdzsXFVf8aMFxvf/Z/2n9kt9LSUvXpN+/q7f8boXo1wyRJtaqGaOjA0Rr57VDLbOaZr6nOLLROuMo/VNHStoz1Ixq11/L1v2W5bVZSUpIVt3tjliMKukc+leN9Zofh5QAAAADuV3e63DijHPR0O8nIpwu7PdwK6pnHXtbuA9t07PQhXbt+RTdv3ZS7m7v8fEupesXaat20kyoH1jC32clJ/xowXKs2LdaqjYt15MQBXU+4Kjk5ybuoj6oEBqlteFfLBGrpnn18kGpVDdHvO9frzPmTunrtkpJTk+Vd1EfVK9ZSZHg31a4WYl/b3Qvq3ZdHafDHz+nU2WNKSUnW8K/+pWGvjFaNysGSpNrVQvT1h7O0YkOUNm2L0ZET+3X9xjWlGWny8fJV5YAgNW3Q0jKBnKurq/7z2jhNmj1Gm7bHKDHxpkqXLKuOEY8puEZojkN3WHC4kpJuac+h7bfP9/plpaQmy6twMVUoV1Vtm3VVaJ2Hc7RPu9yj8wQAAAAAQF5xMgzDruizMG2T0pxJScg7Fc76qPAtt/xuBgAAAADkmJOTk8qVK5dtvftiIjU8mBheDgAAAOBBZ3fodjKISMhbTgycAAAAAHCfsveabrtDtwuhG3nMOY2BFgAAAADuT87O9uWZHIRuAhLyljNf5AAAAAC4Tzmgp5vQjbzlkkboBgAAAHB/oqcb9zx6ugEAAADcr/K+p5uJzpGHnNKc5MT85QAAAADuU/R0457GxHwAAAAA7md53tPtKpdcNwbIzJnruQEAAADcx/K8p9uVnm7kIUI3AAAAgPtZ3oduerqRh7hcAQAAAMD9zN7Q7WrvDku5+up42sVcNwi58/vH0TJS06zKnVycFTK4TT60KG94JXrY/SIFpk6dqrQ06/eBs7OzevXqlQ8tAv56vA8A3geAxPvgXuLh4WFXPbtDt28BL7VXaK4bhNzZkhqttFTDqtxZUnvn+/j/w/t/D8AOhmHY/HBxcnJS2bJl86FFwF+P9wHA+wCQeB/cj+hqBAAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAgrvndANyZi4tLjsqBBxHvA4D3ASDxPgAk3gf3IyfDMIz8bgQAAAAAAA8ihpcDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghG4AAAAAAByE0A0AAAAAgIMQugEAAAAAcBBCNwAAAAAADkLoBgAAAADAQQjdAAAAAAA4CKEbAAAAAAAHIXQDAAAAAOAghO4H3Ndff6369evndzMAu3Xq1ElDhw7N72YAAAAAecI1vxtwrxg0aJA2bdqk6OhoeXp62qzz9ttva+nSpVq0aJG8vb3/2gZm8scff2jatGlatmyZTp8+LXd3d5UsWVL16tVT7969VaJEiXxtH2DLwYMHNWHCBO3evVuXLl2Sl5eXAgMDFR4erscffzy/mwfk2KxZs/Txxx8rKChIU6ZMye/mAPed+fPna9iwYTbX9e7dWy+99FKeHCcmJka7du1S//7982R/+Pu537JCVp1uvr6+Wrx4cZ4d58KFC/r555/VvHlzVa1aNc/2+6AhdP9Pu3bttGbNGq1YsUIdO3a0Wp+YmKhVq1apUaNG+f4mSklJ0bPPPqujR4+qY8eO6tmzp27evKlDhw5p0aJFat68OaEb95xt27ZpwIAB8vf3V9euXVW8eHGdO3dOO3bs0A8//EDoxn0pKipKpUuX1q5du3TixAmVLVs2v5sE3JcGDBig0qVLm8oqVqyYZ/tfu3atZs2aRehGrt1PWSFdw4YN1aFDB1OZu7t7nh7jwoUL+uabb1S6dGlC9x0Quv8nPDxcnp6eWrx4sc030sqVK3Xz5k21a9furo6TkpIiwzBUoECBXO9j5cqV2rdvnz788EO1bdvWtO7WrVtKTk6+qzYCjvDdd9+pcOHCmjp1qooUKWJad+nSpXxqFZB7p06d0vbt2zVixAh99NFHioqK0nPPPfeXHT8tLU3Jycl5/gcUkB8aN26sGjVq5HczgCzdT1khXbly5dS+ffu73g/uHtd0/4+Hh4datGihTZs22QwAixcvlqenp8LDwyVJ169f12effaYOHTqoUaNG6tq1qyZPnqy0tDTLNqdPn1b9+vU1bdo0zZgxQ126dFHjxo21a9cuNW3aVJ9++qnVcc6dO6fQ0FBNmjQpy7aePHlSklSnTh2rde7u7ipcuPAdzzUlJUUTJ05Uly5d1KhRI3Xq1Enjxo1TUlKSpc7IkSPVsmVLGYZhKfvkk09Uv359/fDDD5ay+Ph41a9fX7Nnz77jMYGTJ0+qQoUKVoFbknx8fLLddvDgwYqIiFCTJk3Up08fxcTEWNYbhqGWLVtq5MiRlrK0tDQ1b95coaGhun79uqV88uTJatiwof744488OCv8nUVFRalo0aJq2rSpWrZsqUWLFkm6/Ts2IiLC5pDZhIQENW7cWKNHj7aUJSUl6euvv1bXrl3VqFEjdejQQZ9//rnpd7J0e6jgxx9/rKioKPXo0UONGjXS+vXrJUnTpk3TM888o5YtW6pJkyZ66qmntHTpUqvjJyYmasSIEWrZsqXCw8M1aNAgnT9/XvXr19fXX39tqnv+/HkNGzZMbdq0UaNGjdSjRw/9+uuvd/u0AXY7c+aM/vvf/6p79+5q0qSJWrZsqcGDB+v06dOmeikpKZowYYK6deumxo0bq2XLlurXr582bNggSRo6dKhmzZol6fb7KP0B5MT9lBXsYe/nxoYNG9SvXz81b95cDz/8sLp3765x48ZJkjZv3qxevXpJkoYNG2Z5b82fP/+u2vYgoqc7g7Zt22rBggVasmSJevbsaSm/evWq1q9fr8jISHl4eCgxMVHPPfeczp8/r+7du8vf31/bt2/XuHHjFB8fr9dee8203/nz5+vWrVvq1q2b3Nzc5O/vrxYtWmjJkiUaNGiQXFxcLHUXL14swzDu+C2Zv7+/JGnhwoXq16+fnJyccnSeH374oRYsWKCWLVvqqaee0s6dOzVp0iQdOXLE8uauW7euZsyYoUOHDqlSpUqSpK1bt8rZ2VlxcXGWocBxcXGW+sCdlCpVSjt27NDBgwctryl7xMfHq1+/fkpMTFTPnj3l5eWlhQsX6tVXX9XHH3+sFi1ayMnJSXXq1LG8HiXpwIEDSkhIkLOzs7Zt26amTZtKuv06rlq1qgoVKpTn54i/l0WLFqlFixYqUKCAIiMjNXv2bO3atUtBQUFq3ry5VqxYobfeesvUW7Fy5UolJSWpTZs2km5/OfTqq69q69at6tatmwIDA3Xw4EHNmDFDx48f12effWY65ubNm7V06VL16NFD3t7eKlWqlCTphx9+UHh4uNq2bavk5GRFR0frX//6l0aPHm157Uu3/yhasmSJ2rdvr1q1amnLli165ZVXrM4tPj5effv2lSTLsdatW6cPPvhAN27c0D/+8Y+8fjrxN5eQkKArV66Yynbt2qXt27crMjJSfn5+On36tObMmaP+/ftr1qxZ8vDwkHR70tjJkyera9euCgoKUkJCgvbs2aO9e/cqLCxM3bt314ULF7Rx40a9//77+XB2eFDcL1khXVJSktX7qlChQnJzc7Prc+PQoUMaNGiQKleurAEDBqhAgQI6efKktm3bJkkKDAzUgAEDNH78eHXr1s2SB2rXrp2r5/eBZsAiJSXFiIyMNPr27Wsqnz17thESEmKsX7/eMAzD+Oabb4ymTZsax44dM9UbM2aMERoaapw5c8YwDMM4deqUERISYoSHhxuXLl0y1V2/fr0REhJirF271lT++OOPG88+++wd23nz5k2je/fuRkhIiNGxY0dj6NChxty5c434+HiruuPHjzdCQkIsy/v27TNCQkKMDz74wFRv9OjRRkhIiBEbG2sYhmFcunTJCAkJMWbNmmUYhmFcv37daNCggTF48GCjTZs2lu1GjBhhREREGGlpaXdsM7B+/XojNDTUCA0NNfr27Wt8/vnnxvr1643k5GRTvY4dOxrvvfeeZfnTTz81QkJCjLi4OEvZjRs3jM6dOxudOnUyUlNTDcMwjKlTpxqhoaFGQkKCYRiGMXPmTKNjx45Gr169jC+++MIwDMNITU01mjdvbnz22WeOPVk88Hbv3m2EhIQYGzZsMAzDMNLS0oz27dsbn376qWEYf/6OX716tWm7l19+2ejcubNleeHChUaDBg1Mr2/D+PNzZ+vWrZaykJAQo0GDBsahQ4es2nPz5k3TcnJystGjRw9jwIABlrI9e/YYISEhljamGzp0qBESEmKMHz/eUvb+++8bkZGRxuXLl011hwwZYjRr1szqeEBuzZs3zwgJCbH5sPU62759uxESEmIsWLDAUvbEE08YAwcOvONx/vvf/5r+HgJy437JCoZhZPm+mjdvnmEY9n1uTJ8+3QgJCbH6LMho165dpv3CNoaXZ+Di4qI2bdpo+/btpqFLixcvlq+vrxo0aCBJWrZsmerWrauiRYvqypUrlkdoaKhSU1NNvW2SFBERoWLFipnKQkNDVaJECUVFRVnKDh48qAMHDmR77YWHh4emTJmip59+WtLtb8c++OADtW3bVp988onVkMSM1q5dK0l68sknTeXpy+lDdosVK6aAgABt2bJF0p+93E8//bTi4+N1/PhxSbd7uuvUqZPj3nb8/YSFhem7775TeHi49u/fr6lTp+rFF19Uu3bttGrVqiy3W7t2rYKCghQcHGwpK1SokLp166bTp0/r8OHDkm6PtkhNTdX27dsl3X7NBgcHq27dupb35KFDh3T9+nVGZuCuRUVFydfX1zJE1cnJSa1bt1Z0dLRSU1NVv359eXt7Kzo62rLNtWvXtHHjRksvtyQtXbpUAQEBCggIMH2epH/ebN682XTcevXqqUKFClbtSe/xSz9OQkKC6tatq71791rK161bJ0l67LHHTNtm7K2Rbl+usXz5cj388MOSZGpXo0aNlJCQYNovkBcGDx6scePGmR4ZX9cpKSm6cuWKypYtqyJFipheg4ULF9bhw4ctf5sAjnK/ZIV0zZo1s3pfNWrUSJJ9nxvplwSuXLnSNCweOcfw8kzatWunGTNmaNGiRXrmmWd07tw5y3Dq9KEdx48f14EDB9SqVSub+8h8ncdDDz1kVcfZ2Vlt27bVnDlzlJiYKA8PDy1atEju7u5Z7jejwoULa+DAgRo4cKDOnDmjTZs26fvvv9dPP/2kwoUL64UXXrC53ZkzZ+Ts7Gw1w27x4sVVpEgRnTlzxlJWt25dS0jfunWratSooRo1asjLy0txcXHy8fHRgQMHrCZzA7ISFBSkESNGKDk5Wfv379fKlSs1Y8YMDR48WDNmzLAZJs6ePauaNWtalQcEBFjWV6pUSdWqVZOHh4fi4uLUqFEjxcXFqX///vL19dWPP/6oW7duWT7kMgZ4IKdSU1MVHR2tkJAQ0x9dNWvW1Pfff6/Y2FiFhYUpIiJCixcvVlJSktzc3LR8+XKlpKSodevWlm1OnDihI0eOZPl7//Lly6blzLM7p1uzZo2+/fZb7d+/3/TFa8YvRNN//2feR5kyZayOef36df3yyy/65Zdf7GoXcLeCgoKsJlJLTEzU5MmTNX/+fJ0/f940z0xCQoLl5wEDBui1115T9+7dVbFiRTVu3Fjt27dX5cqV/7L24+/jfskKkuTn56eGDRvaXGfP50br1q01d+5cffjhhxo7dqwaNGigiIgItWzZUs7O9N3mBKE7k+rVqysgIECLFy/WM888Y7luImOwNAxDDRs2tEwckFn58uVNy1nNLNuhQwdNmzZNK1euVGRkpBYtWqSmTZtmOxFaZqVKlVKXLl3UokULdenSRYsWLcoydOdEnTp19Msvv+jkyZOKi4tTcHCw5drZrVu3qkSJEkpLS6PXEDlWoEABBQUFKSgoSOXKldOwYcO0dOnSu5r52dXVVTVr1lRcXJxOnDih+Ph41a1bVz4+PkpJSdHOnTsVFxengIAAq2+TgZyIjY3VxYsXFR0dberJThcVFaWwsDC1adNGP//8s9atW6fmzZtberWrVKliqZuWlqZKlSpp0KBBNo9VsmRJ07Ktz5O4uDi9+uqrqlu3rgYPHqzixYvL1dVV8+fPt0zulhPpvRnt2rWzOUOvJMIM/hIjRozQ/Pnz9cQTT6hWrVoqXLiwnJyc9NZbb5kCeL169TR37lytWrVKGzZs0Ny5czVjxgwNGTJEXbt2zb8TwAPpfswKmdn7ueHh4aFvvvlGmzdvVkxMjNavX68lS5aoQYMGGjt2rOlac9wZoduGtm3bavz48Tpw4IAWLVqkcuXKKSgoyLK+TJkyunnzZpbfHNmrUqVKqlq1qqKiouTn56ezZ8/qjTfeyPX+ihYtqjJlyujQoUNZ1ilVqpTS0tJ04sQJBQYGWsrj4+N1/fp1y6Q80p+To23cuFG7d+9Wnz59JN3+cJs9e7aKFy+uggULqlq1arluM1C9enVJ0sWLF22u9/f317Fjx6zKjx49almfrm7dupoyZYo2btwob29vBQQEyMnJSRUqVFBcXJy2bt1qmlQKyI1FixbJx8dHb775ptW6FStWaOXKlUpMTFS9evVUvHhxRUdHKzg4WLGxsXrmmWdM9cuUKaMDBw4oNDQ015fpLF++XG5ubho7dqzc3Nws5Zlnj03//X/69GmVK1fOUp5+R4x0xYoVk6enp9LS0u76cw64G8uWLVOHDh1MX0rdunXL1MudzsvLS507d1bnzp31xx9/6Nlnn9WECRMsoZvL4JCX7teskM7ezw3pdo97aGioQkNDJd2+BeyXX36pzZs3q2HDhry37MS4ABvSZwMcP3689u/fbzV8ulWrVtq+fbvlVi0ZXb9+XSkpKXYfq3379tqwYYNmzpwpLy8vNWnSJNtt9u/fbzUToXR76ODhw4etvj3LKH3/M2bMMJVPnz5dkkyB5KGHHpKfn59mzJihlJQUyy3KgoODdfLkSS1btky1atWSqyvf3SB7mzdvNvVMpEu/hCGr122TJk0sM9imu3nzpn755ReVLl3aNCQ9ODhYSUlJmjlzpmVkhnQ7jP/222+6cOECIzNwVxITE7VixQo1bdpUrVq1snr06NFDN27c0OrVq+Xs7KyWLVtqzZo1WrhwoVJTU03Xc0u3h+6dP3/e5jDuxMRE3bx5M9s2OTs7y8nJyeo2NCtXrjTVS7+OL/3WSel+/PFH07KLi4siIiK0fPlyHTx40Op4DC3HX8VWL9qPP/6o1NRUU5mt2ZnLli1rGjJbsGBBSTLdQhLIrXs9K2TH3s+Nq1evWm2bPlorOTlZEu8te5GWbHjooYdUu3Zty+ROmafk79Wrl1avXq1XXnlFnTp1UrVq1ZSYmKiDBw9q2bJlmj9/vry9ve06Vtu2bfXFF19oxYoVevTRR+0KsBs3btTXX3+t8PBw1apVSwULFtSpU6c0b948JScn33GIbpUqVdSxY0f98ssvSkhIUL169bRr1y4tWLBAzZs3t7pvZXBwsKKjo1WpUiUVLVpUklStWjUVLFhQx48f53pu2O2TTz7RrVu31Lx5cwUEBCg5OVnbt2/XkiVLVLp0aXXu3Nnmdn369FF0dLRefvllPf744ypatKgWLFig06dP65NPPjFdU1S7dm25uLjo2LFj6tatm6W8bt26lnvJE7pxN1avXq0bN25Y7sOaWa1atVSsWDFFRUWpTZs2at26tX788UdNmDBBlSpVMo0wkm7/MbVkyRINHz5cmzdvVp06dZSWlqajR49q6dKlGjNmjNV1rpk1bdpU06dP10svvaTIyEhdvnxZs2bNUtmyZXXgwAFLverVqysiIkIzZ87U1atXLbcMSx9JkrG34sUXX9TmzZvVp08fy63Mrl27pr1792rTpk1avnx5bp9CwG5NmzbVb7/9psKFCyswMFA7duzQpk2b5OXlZarXo0cPhYSEqFq1avLy8tLu3bu1bNky9ejRw1InfVTViBEj1KhRIzk7OysyMvIvPR88OO71rJAdez83Jk6cqC1btqhp06YqVaqULl26pNmzZ6tkyZKW+XHKlCmjIkWKaM6cOSpUqJAKFiyomjVr2rxO/e+M0J2Fdu3aafv27QoKCrKadMzDw0MTJkzQpEmTtHTpUi1cuFCenp4qV66c+vfvn6PrLHx9fRUWFqa1a9faPRNhRESE/vjjD23YsEGbN2/W1atXVbRoUQUFBempp56yCs6Zvf3223rooYe0YMECrVixQr6+vurbt6+effZZq7p169a1DI1M5+rqqlq1amnTpk0EGNjtlVde0dKlS7V27Vr98ssvSk5Olr+/vx599FH169fPMkNmZr6+vvr22281ZswY/fjjj0pKSlKlSpU0atQoq6HiBQsWVNWqVbV7927Tazb9dVqyZEnTJRRATkVFRcnd3V1hYWE21zs7O6tp06aKiorSlStXVKdOHZUsWVLnzp0zTaCWsf5nn32m6dOna+HChVq5cqU8PDz00EMP6fHHHzcNA89KgwYN9M4772jKlCkaOXKkSpcurZdeekmnT582/fEkSe+//758fX0VHR2tlStXKjQ0VMOHD9cjjzxiGmLo6+urKVOm6JtvvtHy5csVHx8vLy8vVaxYUS+99FIOnzUgd15//XU5OzsrKipKSUlJqlOnjsaNG2f1GuzZs6dWr16tDRs2KCkpSaVKldLzzz9vup62RYsW6tmzp6KjoxUVFSXDMAjduCv3clbIjr2fG+Hh4Tp9+rTmzZunK1euyNvbW/Xq1TOdg6urq4YOHapx48Zp+PDhSk1N1XvvvUfozsTJsDXeE3+p119/XQcPHtTcuXPzuykAgL+Zffv26cknn9QHH3xg1VsDAMh/ZIX7H9d057OLFy8qJiYmz765AgAgK4mJiVZlM2fOlLOzMyOXAOAeRFZ4MDC8PJ+cOnVK27Zt09y5c+Xq6qru3bvnd5MAAA+4qVOnas+ePapfv75cXFy0bt06rVu3Tt26dTPdCQAAkL/ICg8WQnc+2bJli4YNGyZ/f38NHTpUxYsXz+8mAQAecLVr19bGjRv17bff6o8//pC/v7+ee+45q1uZAQDyF1nhwcI13QAAAAAAOAjXdAMAAAAA4CCEbgAAAAAAHITQDQAAAACAgxC6AQAAAABwEEI3AAAAAAAOQugGAAAAAMBBCN0AAAAAADgIoRsAAAAAAAchdAMAAAAA4CCEbgAAAAAAHITQDQAAAACAgxC6AQAAAABwEEI3AAAAAAAOQugGAAAAAMBBCN0AAAAAADgIoRsAAAAAAAchdAMAAAAA4CCEbgAAAAAAHITQDQAAAACAgxC6AQAAAABwEEI3AAAAAAAOQugGAAAAAMBBCN0AAAAAADgIoRsAAAAAAAchdAMAAAAA4CCEbgAAAAAAHITQDQAAAACAgxC6AQAAAABwkP8H1TDIAvcEybIAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 1000x250 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x250 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.patches as patches\n",
"\n",
"# Enable inline display for matplotlib\n",
"%matplotlib inline\n",
"\n",
"def plot_metabolism_chart():\n",
" \"\"\"\n",
" Generates and displays the 'Slow vs Fast Metabolism' chart.\n",
" \"\"\"\n",
" fig, ax = plt.subplots(figsize=(10, 2.5))\n",
"\n",
" # --- Chart data and positions ---\n",
" categories = ['Very Slow', 'Slow', 'Average', 'Fast', 'Very Fast']\n",
" # Use normalized positions (0-100 scale) for uniform bar length\n",
" positions = [10, 30, 50, 70, 90]\n",
" kcal_ranges = [1500, 3000, 4500, 6000, 7500] # Actual kcal values for reference\n",
" \n",
" # Step 1: Filter resting phase (usually lowest VO2 or MET values)\n",
" rest_phase = df[df['MET'] <= 1.1] # assuming <1.1 MET means rest\n",
"\n",
" # Step 2: Compute resting metabolic rate\n",
" rmr = rest_phase['EE(kcal/day)'].mean()\n",
"\n",
" print(f\"Estimated RMR from data: {rmr:.0f} kcal/day\")\n",
" kcal_value = rmr\n",
" \n",
" # Normalize the kcal value to 0-100 scale (assuming range 0-9000 kcal)\n",
" max_kcal = 9000\n",
" normalized_value = (kcal_value / max_kcal) * 100\n",
" indicator_pos = normalized_value\n",
" highlight_end = normalized_value\n",
"\n",
" # --- Main Bar (Background) ---\n",
" # Create a rounded rectangle for the main bar (0-100 scale)\n",
" main_bar = patches.FancyBboxPatch(\n",
" (0, 0.4), 100, 0.2,\n",
" boxstyle=\"round,pad=0,rounding_size=0.1\",\n",
" ec=\"none\", fc=\"#E0E0E0\",\n",
" )\n",
" ax.add_patch(main_bar)\n",
"\n",
" # --- Highlighted Bar ---\n",
" # Create a rounded rectangle for the highlighted section\n",
" highlight_bar = patches.FancyBboxPatch(\n",
" (0, 0.4), highlight_end, 0.2,\n",
" boxstyle=\"round,pad=0,rounding_size=0.1\",\n",
" ec=\"none\", fc=\"#B2FFC8\",\n",
" )\n",
" ax.add_patch(highlight_bar)\n",
"\n",
" # --- Text and Labels ---\n",
" # Add the kcal text inside the highlighted bar (show actual kcal value)\n",
" ax.text(highlight_end / 2, 0.5, f'{int(kcal_value)}kCals', \n",
" ha='center', va='center', color='#006400', fontsize=14, weight='bold')\n",
"\n",
" # --- Indicator Triangle ---\n",
" ax.plot(indicator_pos, 0.65, 'v', markersize=15, color='#606060', clip_on=False)\n",
"\n",
" # --- Ticks and Labels ---\n",
" # Add category labels and tick marks below the bar\n",
" for pos, label in zip(positions, categories):\n",
" ax.text(pos, 0.15, label, ha='center', va='center', fontsize=12, color='#333333')\n",
" ax.plot([pos, pos], [0.35, 0.39], color='grey', lw=5)\n",
"\n",
"\n",
" # --- Chart Styling ---\n",
" ax.set_title('Slow vs Fast Metabolism', fontsize=18, weight='bold', loc='left')\n",
" ax.set_xlim(0, 100) # Normalized scale\n",
" ax.set_ylim(0, 1)\n",
" \n",
" # Hide axes and spines for a cleaner look\n",
" ax.axis('off')\n",
" \n",
" plt.tight_layout()\n",
" plt.savefig(f'{base_dir}/graphs/metabolism_chart.png', bbox_inches='tight', dpi=300)\n",
" plt.close(fig) # Close figure to prevent display warning\n",
" return fig\n",
"\n",
"\n",
"def plot_fuel_source_chart():\n",
" \"\"\"\n",
" Generates and displays the 'Fuel Source' chart.\n",
" \"\"\"\n",
" fig, ax = plt.subplots(figsize=(10, 2.5))\n",
"\n",
" # --- Chart data and positions ---\n",
" rest_phase = df[df['RER'] == 0.9] # filter rest data\n",
" fat_rest = rest_phase['FAT(%)'].mean()\n",
" carb_rest = rest_phase['CARBS(%)'].mean()\n",
"\n",
" print(f\"Resting phase fuel mix: Fats {fat_rest:.1f}%, Carbs {carb_rest:.1f}%\")\n",
"\n",
" fat_percentage = fat_rest\n",
" carb_percentage = 100 - fat_percentage\n",
" optimal_point = 75\n",
"\n",
" # --- Main Bars (Fats and Carbs) ---\n",
" # Fats bar (yellow) - using 0-100 scale for uniformity\n",
" fats_bar = patches.FancyBboxPatch(\n",
" (0, 0.4), fat_percentage, 0.2,\n",
" boxstyle=\"round,pad=0,rounding_size=0.1\",\n",
" ec=\"none\", fc=\"#FEEAAB\",\n",
" )\n",
" ax.add_patch(fats_bar)\n",
"\n",
" # Carbs bar (blue) - starts where the fats bar ends\n",
" carbs_bar = patches.FancyBboxPatch(\n",
" (fat_percentage, 0.4), carb_percentage, 0.2,\n",
" boxstyle=\"round,pad=0,rounding_size=0.1\",\n",
" ec=\"none\", fc=\"#A7F5FF\",\n",
" )\n",
" ax.add_patch(carbs_bar)\n",
"\n",
" # --- Text and Labels ---\n",
" # Add percentage labels inside the bars\n",
" ax.text(fat_percentage / 2, 0.5, f'Fats\\n{fat_percentage:.0f}%', \n",
" ha='center', va='center', color='#333333', fontsize=12, weight='bold')\n",
" ax.text(fat_percentage + carb_percentage / 2, 0.5, f'Carbs\\n{100-fat_percentage:.0f}%', \n",
" ha='center', va='center', color='#333333', fontsize=12, weight='bold')\n",
" \n",
" # Add 'Optimal' label\n",
" ax.text(optimal_point, 0.75, 'Optimal', ha='center', va='center', fontsize=12)\n",
"\n",
" # --- Indicator Triangle ---\n",
" ax.plot(fat_percentage, 0.65, 'v', markersize=15, color='#606060', clip_on=False)\n",
" \n",
" # --- Ticks and Labels ---\n",
" positions = [0, 25, 50, 75, 100]\n",
" for pos in positions:\n",
" ax.text(pos, 0.15, str(pos), ha='center', va='center', fontsize=12, color='#333333')\n",
" ax.plot([pos, pos], [0.35, 0.39], color='grey', lw=5)\n",
" \n",
" # Add a special tick for the 'Optimal' point\n",
" ax.plot([optimal_point, optimal_point], [0.6, 0.7], color='black', lw=2)\n",
"\n",
" # --- Chart Styling ---\n",
" ax.set_title('Fuel Source', fontsize=18, weight='bold', loc='left')\n",
" ax.set_xlim(0, 100) # Normalized scale for uniformity\n",
" ax.set_ylim(0, 1)\n",
"\n",
" # Hide axes and spines\n",
" ax.axis('off')\n",
"\n",
" plt.tight_layout()\n",
" plt.savefig(f'{base_dir}/graphs/fuel_source_chart.png', bbox_inches='tight', dpi=300)\n",
" plt.close(fig) # Close figure to prevent display warning\n",
" return fig\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" # Call the functions to display each plot\n",
" print(\"Displaying Metabolism Chart...\")\n",
" fig1 = plot_metabolism_chart()\n",
" display(fig1)\n",
" \n",
" print(\"\\nDisplaying Fuel Source Chart...\")\n",
" fig2 = plot_fuel_source_chart()\n",
" display(fig2)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "0ab6f0b0",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1150x360 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import os\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.transforms as mtransforms\n",
"from matplotlib.patches import FancyBboxPatch\n",
"# Ensure data is loaded\n",
"try:\n",
" spirometry_df = spirometry_data.copy()\n",
"except NameError:\n",
" spirometry_df = pd.read_csv('data/spirometry_data.csv')\n",
"\n",
"# Coerce numeric columns\n",
"for col in ['Best', 'LLN', 'Pred.', '%Pred.', 'ZScore']:\n",
" if col in spirometry_df.columns:\n",
" spirometry_df[col] = pd.to_numeric(spirometry_df[col], errors='coerce')\n",
"\n",
"# Select rows of interest and prepare display values\n",
"rows_map = {\n",
" 'Lung Volume': 'FVC',\n",
" 'Lung Power': 'FEV1',\n",
" 'Power/Volume': 'FEV1/FVC%'\n",
"}\n",
"\n",
"records = []\n",
"for label, param in rows_map.items():\n",
" row = spirometry_df.loc[spirometry_df['Parameters'].str.strip() == param]\n",
" if row.empty:\n",
" continue\n",
" row = row.iloc[0]\n",
" records.append({\n",
" 'label': label,\n",
" 'param': param,\n",
" 'best': row['Best'],\n",
" 'pct': row['%Pred.'],\n",
" 'z': row['ZScore']\n",
" })\n",
"\n",
"# Figure setup\n",
"os.makedirs('graphs', exist_ok=True)\n",
"fig, axes = plt.subplots(nrows=3, ncols=1, figsize=(11.5, 3.6), sharex=True,\n",
" gridspec_kw={'hspace': 0.65})\n",
"\n",
"x_min, x_max = -5, 3\n",
"# Segment colors: red -> orange -> yellow -> green\n",
"segments = [\n",
" (-5, -4, '#f4a7a7'), # red-ish\n",
" (-4, -3, '#f7c49a'), # orange-ish\n",
" (-3, -1.7, '#f6e3a3'), # yellow-ish\n",
" (-1.7, 3, '#c9f0cc'), # green-ish\n",
"]\n",
"\n",
"ticks = np.arange(x_min, x_max + 1, 1)\n",
"labels = [str(i) for i in ticks]\n",
"\n",
"# Plot each row\n",
"for ax, rec in zip(axes, records):\n",
" # Background segments\n",
" for a, b, color in segments:\n",
" ax.barh(0, width=b-a, left=a, height=0.6, color=color, edgecolor='none')\n",
"\n",
" # LLN (-1) and Predicted (0) markers\n",
" # ax.axvline(-1, color='black', lw=1)\n",
" ax.axvline(0, color='black', lw=1)\n",
"\n",
" # Z-score pointer (downward triangle) at top of each panel\n",
" if pd.notna(rec['z']):\n",
" trans = mtransforms.blended_transform_factory(ax.transData, ax.transAxes)\n",
" ax.plot(float(rec['z']), 1.2, marker='v', markersize=12, color='dimgray',\n",
" transform=trans, clip_on=False)\n",
"\n",
" # Labels, ticks, and styling\n",
" ax.set_title(rec['label'], loc='left', fontsize=11, fontweight='bold', pad=2)\n",
" ax.set_xlim(x_min, x_max)\n",
" ax.set_yticks([])\n",
" ax.set_xticks(ticks)\n",
" ax.set_xticklabels(labels, fontsize=8)\n",
" ax.set_xlabel('')\n",
"\n",
"# Add x-axis label to the bottom axis\n",
"# axes[-1].set_xlabel('Z-score', fontsize=10)\n",
"\n",
"# Top annotations\n",
"axes[0].text(-1.7, 0.45, 'LLN', ha='center', va='bottom', fontsize=9)\n",
"axes[0].text(0, 0.45, 'Predicted', ha='center', va='bottom', fontsize=9)\n",
"\n",
"# Right-side summary boxes\n",
"fig.subplots_adjust(right=0.78)\n",
"box_ax = fig.add_axes([0.805, 0.06, 0.18, 0.90]) # [left, bottom, width, height]\n",
"box_ax.axis('off')\n",
"\n",
"# Helper to draw a pill-shaped text box\n",
"\n",
"def pill(ax, xy, text):\n",
" x, y = xy\n",
" # Draw rounded rectangle background\n",
" bbox = FancyBboxPatch((x-0.48, y-0.09), 0.96, 0.18,\n",
" boxstyle='round,pad=0.02,rounding_size=0.08',\n",
" ec='#dddddd', fc='#f3f3f3', linewidth=1.0)\n",
" ax.add_patch(bbox)\n",
" ax.text(x, y+0.025, text, ha='center', va='center', fontsize=11, fontweight='bold')\n",
" ax.text(x, y-0.055, 'of predicted', ha='center', va='center', fontsize=9, color='#555555')\n",
"\n",
"box_ax.set_xlim(0, 1)\n",
"box_ax.set_ylim(0, 1)\n",
"\n",
"# Prepare display strings and positions (top to bottom)\n",
"right_items = []\n",
"for rec in records:\n",
" name = 'FVC' if rec['param'] == 'FVC' else ('FEV1' if rec['param'] == 'FEV1' else 'FEV1/FVC')\n",
" unit = 'L' if rec['param'] in ('FVC', 'FEV1') else '%'\n",
" value_fmt = f\"{rec['best']:.2f}{unit}\"\n",
" pct_fmt = f\"{rec['pct']:.1f}%\"\n",
" right_items.append((name, value_fmt, pct_fmt))\n",
"\n",
"# Sort to match image order on the right (FVC, FEV1, FEV1/FVC)\n",
"order = ['FVC', 'FEV1', 'FEV1/FVC']\n",
"right_items_sorted = [next(item for item in right_items if item[0] == k) for k in order]\n",
"\n",
"ys = [0.82, 0.48, 0.15]\n",
"for (name, value_fmt, pct_fmt), y in zip(right_items_sorted, ys):\n",
" main_line = f\"{name}\\n{value_fmt} → {pct_fmt}\"\n",
" pill(box_ax, (0.5, y), main_line)\n",
"\n",
"plt.savefig(f'{base_dir}/graphs/spirometry_chart.png', dpi=300, bbox_inches='tight')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ef8bc7ac",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1800x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
"\n",
"plt.figure(figsize=(18, 5))\n",
"ax1 = plt.subplot()\n",
"\n",
"# Plot VT with step-like appearance\n",
"line1 = sns.lineplot(data=df, x='T(sec)', y='VT(l)_smoothed', label='VT (L)')\n",
"ax1.set_xlabel('Time (sec)')\n",
"ax1.set_ylabel('VT (L)')\n",
"ax1.grid(True, alpha=0.1)\n",
"ax1.set_ylim(0, min(8, df['VT(l)_smoothed'].max()))\n",
"\n",
"# Set x-axis limits to remove padding\n",
"ax1.set_xlim(0, df['T(sec)'].max())\n",
"\n",
"# Plot speed as step function on secondary y-axis\n",
"ax2 = ax1.twinx()\n",
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
"line2 = sns.lineplot(data=df, x='T(sec)', y='Speed', color='green', ax=ax2, \n",
" drawstyle='steps-post', linewidth=2, label='Speed')\n",
"ax2.set_ylabel('Speed')\n",
"ax2.set_ylim(0, min(30, df['Speed'].max()) + 1)\n",
"\n",
"# Remove default legends first\n",
"ax1.get_legend().remove()\n",
"ax2.get_legend().remove()\n",
"\n",
"# Combine legends from both axes in the top left\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
"\n",
"# Add colored background regions if you have phase information\n",
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
"\n",
"plt.savefig(f'{base_dir}/graphs/respiratory.png', dpi=300, bbox_inches='tight')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "06244aa2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1500x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# Group by speed and calculate mean for numeric columns only\n",
"speed_groups = df.groupby('Speed').mean(numeric_only=True).round(1)\n",
"\n",
"# Drop the first and last row from speed_groups\n",
"speed_groups = speed_groups.iloc[1:-1]\n",
"\n",
"# Filter data to only include speeds in the desired range\n",
"filtered_data = speed_groups[(speed_groups.index >= 3.5) & (speed_groups.index <= 7.5)]\n",
"\n",
"# Create figure with specific size\n",
"plt.figure(figsize=(15, 8))\n",
"plt.style.use('default')\n",
"\n",
"# Create stage labels and positions\n",
"stage_labels = [f'Stage {i}' for i in range(1, len(filtered_data) + 1)]\n",
"x_positions = np.arange(len(filtered_data))\n",
"\n",
"# Calculate fat and carbs energy expenditure from percentages\n",
"fat_ee = filtered_data['EE(kcal/min)'] * filtered_data['FAT(%)'] / 100\n",
"carbs_ee = filtered_data['EE(kcal/min)'] * filtered_data['CARBS(%)'] / 100\n",
"\n",
"# Create the main axis for the stacked bars\n",
"ax1 = plt.gca()\n",
"\n",
"# Create stacked bar chart with colors\n",
"bars_fat = ax1.bar(x_positions, fat_ee, color='#1f77b4', alpha=0.8, width=0.6, label='Fat')\n",
"bars_carbs = ax1.bar(x_positions, carbs_ee, bottom=fat_ee, color='#ff7f0e', alpha=0.8, width=0.6, label='Carbs')\n",
"\n",
"# Set labels and formatting for primary axis\n",
"ax1.set_xlabel('', fontsize=12)\n",
"ax1.set_ylabel('Fuel (kcal/min)', fontsize=12)\n",
"ax1.set_ylim(0, 20)\n",
"\n",
"# Add individual values on each bar segment\n",
"for i, (fat_val, carb_val, total_val) in enumerate(zip(fat_ee, carbs_ee, filtered_data['EE(kcal/min)'])):\n",
" if fat_val > 0.3: # Fat value\n",
" ax1.text(i, fat_val/2, f'{fat_val:.1f}', ha='center', va='center',\n",
" fontsize=9, fontweight='bold', color='white')\n",
" if carb_val > 0.3: # Carbs value\n",
" ax1.text(i, fat_val + carb_val/2, f'{carb_val:.1f}', ha='center', va='center',\n",
" fontsize=9, fontweight='bold', color='white')\n",
" # Total EE\n",
" ax1.text(i, total_val + 0.5, f'{total_val:.1f} kcal', ha='center', va='bottom',\n",
" fontsize=10, fontweight='bold', color='black')\n",
"\n",
"# Add speed labels below x-axis\n",
"for i, speed in enumerate(filtered_data.index):\n",
" ax1.text(i, -1.5, f'{speed:.1f} mph', ha='center', va='top', fontsize=9)\n",
" ax1.text(i, -2.8, f'{speed*1.609:.1f} min/km', ha='center', va='top', fontsize=8, color='gray')\n",
"\n",
"# Create secondary y-axis for heart rate\n",
"ax2 = ax1.twinx()\n",
"\n",
"# Plot heart rate line (no manual offset)\n",
"hr_line = ax2.plot(x_positions, filtered_data['HR(bpm)'],\n",
" marker='o', linewidth=3, markersize=8, color='red', label='Heart Rate')\n",
"\n",
"# Set heart rate axis formatting\n",
"ax2.set_ylabel('Heart Rate (bpm)', fontsize=12, color='red')\n",
"ax2.tick_params(axis='y', labelcolor='red')\n",
"\n",
"# Dynamically adjust HR axis to float above bars\n",
"max_bar_height = max(filtered_data['EE(kcal/min)'])\n",
"ax2.set_ylim(0, 220) # ensures HR line is above bars\n",
"\n",
"\n",
"# Add HR values above the points\n",
"for i, hr in enumerate(filtered_data['HR(bpm)']):\n",
" ax2.text(i, hr + 10, f'{int(hr)}bpm', ha='center', va='bottom',\n",
" fontsize=10, fontweight='bold', color='red')\n",
"\n",
"# Set x-axis formatting\n",
"ax1.set_xticks(x_positions)\n",
"ax1.set_xticklabels(stage_labels, fontsize=11)\n",
"\n",
"# Add title\n",
"plt.suptitle('Fuel Utilization Report - Institute of Science, Health and Performance',\n",
" fontsize=14, fontweight='bold', y=0.95)\n",
"\n",
"# Create legend\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left',\n",
" frameon=True, fancybox=True, shadow=True)\n",
"\n",
"# Add grid\n",
"ax1.grid(True, alpha=0.3, linestyle='-', linewidth=0.5)\n",
"ax1.set_axisbelow(True)\n",
"\n",
"# Adjust layout\n",
"plt.tight_layout()\n",
"plt.subplots_adjust(bottom=0.1, top=0.9)\n",
"plt.savefig(f'{base_dir}/graphs/fuel_utilization_chart.png', dpi=300)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "8a1878a0",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1800x500 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
"\n",
"plt.figure(figsize=(18, 5))\n",
"ax1 = plt.subplot()\n",
"\n",
"# Plot VO2 Pulse\n",
"#\n",
"line1 = sns.lineplot(data=df, x='T(sec)', y='VO2 Pulse_smoothed', label='VO2 Pulse (mL/beat)', color='blue')\n",
"ax1.set_xlabel('Time (sec)')\n",
"ax1.set_ylabel('VO2 Pulse (mL/beat)')\n",
"# ax1.set_title('VO2 Pulse, Heart Rate, and Speed Over Time')\n",
"ax1.set_ylim(0, df['VO2 Pulse_smoothed'].max())\n",
"ax1.grid(True, alpha=0.1)\n",
"# Set x-axis limits to remove padding\n",
"ax1.set_xlim(0, df['T(sec)'].max())\n",
"# Create second y-axis for heart rate\n",
"#\n",
"ax2 = ax1.twinx()\n",
"line2 = sns.lineplot(data=df, x='T(sec)', y='HR(bpm)_smoothed', color='red', ax=ax2, \n",
" linewidth=2, label='Heart Rate (bpm)')\n",
"ax2.set_ylabel('Heart Rate (bpm)', color='red')\n",
"ax2.tick_params(axis='y', labelcolor='red')\n",
"ax2.set_ylim(60, df['HR(bpm)_smoothed'].max() + 1)\n",
"\n",
"# Create third y-axis for speed\n",
"ax3 = ax1.twinx()\n",
"ax3.spines['right'].set_position(('outward', 60))\n",
"\n",
"line3 = sns.lineplot(data=df, x='T(sec)', y='Speed', color='green', ax=ax3, \n",
" drawstyle='steps-post', linewidth=2, label='Speed')\n",
"ax3.set_ylabel('Speed', color='green')\n",
"ax3.tick_params(axis='y', labelcolor='green')\n",
"ax3.set_ylim(0, df['Speed'].max() + 1)\n",
"\n",
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
"\n",
"# Remove default legends first\n",
"if ax1.get_legend():\n",
" ax1.get_legend().remove()\n",
"if ax2.get_legend():\n",
" ax2.get_legend().remove()\n",
"if ax3.get_legend():\n",
" ax3.get_legend().remove()\n",
"\n",
"# Combine legends from all axes in the top left\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"lines3, labels3 = ax3.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2 + lines3, labels1 + labels2 + labels3, loc='upper left')\n",
"\n",
"# Add colored background regions if you have phase information\n",
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
"\n",
"plt.savefig(f'{base_dir}/graphs/vo2_pulse_chart.png', bbox_inches='tight', dpi=300)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "7361fb05",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1800x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
"\n",
"plt.figure(figsize=(18, 5))\n",
"ax1 = plt.subplot()\n",
"\n",
"# Plot VT with step-like appearance\n",
"line1 = sns.lineplot(data=df, x='T(sec)', y='VO2 Breath_smoothed', label='VO2 per Breath (mL/breath)')\n",
"ax1.set_xlabel('Time (sec)')\n",
"ax1.set_ylabel('VO2 per Breath (mL/breath)')\n",
"# ax1.set_title('VO2 per Breath and Speed Over Time')\n",
"ax1.set_ylim(0, df['VO2 Breath_smoothed'].max() + 1)\n",
"ax1.grid(True, alpha=0.1)\n",
"# Set x-axis limits to remove padding\n",
"ax1.set_xlim(0, df['T(sec)'].max())\n",
"\n",
"# Plot speed as step function on secondary y-axis\n",
"ax2 = ax1.twinx()\n",
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
"line2 = sns.lineplot(data=df, x='T(sec)', y='Speed', color='green', ax=ax2, \n",
" drawstyle='steps-post', linewidth=2, label='Speed')\n",
"ax2.set_ylim(0, df['Speed'].max() + 1)\n",
"ax2.set_ylabel('Speed')\n",
"\n",
"# Remove default legends first\n",
"ax1.get_legend().remove()\n",
"ax2.get_legend().remove()\n",
"\n",
"# Combine legends from both axes in the top left\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
"\n",
"# Add colored background regions if you have phase information\n",
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
"\n",
"plt.savefig(f'{base_dir}/graphs/vo2_breath_chart.png', bbox_inches='tight', dpi=300)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "c89478ff",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1800x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
"\n",
"plt.figure(figsize=(18, 5))\n",
"ax1 = plt.subplot()\n",
"\n",
"df['CHO']\n",
"# Plot VT with step-like appearance\n",
"line1 = sns.lineplot(data=df, x='T(sec)', y='CHO_smoothed', label='CHO (kcal/min)')\n",
"ax1.set_xlabel('Time (sec)')\n",
"ax1.set_ylabel('CHO (g/min)')\n",
"# ax1.set_title('CHO and Speed Over Time')\n",
"ax1.grid(True, alpha=0.1)\n",
"# Set x-axis limits to remove padding\n",
"ax1.set_xlim(0, df['T(sec)'].max())\n",
"# Plot speed as step function on secondary y-axis\n",
"ax2 = ax1.twinx()\n",
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
"line2 = sns.lineplot(data=df, x='T(sec)', y='FAT_smoothed', color='green', ax=ax2, label='FAT (kcal/min)')\n",
"ax2.set_ylabel('FAT (kcal/min)')\n",
"\n",
"ax2.set_ylim(0, 15) # ensures HR line is above bars\n",
"\n",
"# Remove default legends first\n",
"ax1.get_legend().remove()\n",
"ax2.get_legend().remove()\n",
"\n",
"# Combine legends from both axes in the top left\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
"\n",
"# Add colored background regions if you have phase information\n",
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
"\n",
"plt.savefig(f'{base_dir}/graphs/fat_metabolism_chart.png', bbox_inches='tight', dpi=300)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "1db16040",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1800x500 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
"\n",
"plt.figure(figsize=(18, 5))\n",
"ax1 = plt.subplot()\n",
"\n",
"# Plot VO2 Pulse\n",
"line1 = sns.lineplot(data=df, x='T(sec)', y='VCO2(ml/min)_smoothed', label='VCO2 (ml/min)', color='blue')\n",
"ax1.set_xlabel('Time (sec)')\n",
"ax1.set_ylabel('VO2 Pulse (mL/beat)')\n",
"# ax1.set_title('VO2 Pulse, Heart Rate, and Speed Over Time')\n",
"ax1.set_ylim(0, df['VCO2(ml/min)'].max())\n",
"ax1.grid(True, alpha=0.1)\n",
"# Set x-axis limits to remove padding\n",
"ax1.set_xlim(0, df['T(sec)'].max())\n",
"\n",
"# Create second y-axis for heart rate\n",
"ax2 = ax1.twinx()\n",
"line2 = sns.lineplot(data=df, x='T(sec)', y='HR(bpm)_smoothed', color='red', ax=ax2, \n",
" linewidth=2, label='Heart Rate (bpm)')\n",
"ax2.set_ylabel('Heart Rate (bpm)', color='red')\n",
"ax2.set_ylim(df['HR(bpm)_smoothed'].min() - 1, df['HR(bpm)_smoothed'].max() + 1)\n",
"ax2.tick_params(axis='y', labelcolor='red')\n",
"\n",
"# Create third y-axis for speed\n",
"ax3 = ax1.twinx()\n",
"ax3.spines['right'].set_position(('outward', 60))\n",
"line3 = sns.lineplot(data=df, x='T(sec)', y='BF(bpm)_smoothed', color='green', ax=ax3, linewidth=2, label='BF (bpm)')\n",
"ax3.set_ylabel('BF (bpm)', color='green')\n",
"ax3.tick_params(axis='y', labelcolor='green')\n",
"ax3.set_ylim(0, df['BF(bpm)_smoothed'].max() + 1)\n",
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
"\n",
"# Remove default legends first\n",
"if ax1.get_legend():\n",
" ax1.get_legend().remove()\n",
"if ax2.get_legend():\n",
" ax2.get_legend().remove()\n",
"if ax3.get_legend():\n",
" ax3.get_legend().remove()\n",
"\n",
"# Combine legends from all axes in the top left\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"lines3, labels3 = ax3.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2 + lines3, labels1 + labels2 + labels3, loc='upper left')\n",
"\n",
"# Add colored background regions if you have phase information\n",
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
"\n",
"plt.savefig(f'{base_dir}/graphs/recovery_chart.png', bbox_inches='tight', dpi=300)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "c8ad6076",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1200x550 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot TSI (Left) and TSI2 (Right) with Black Slope (Trend) Lines per Stage\n",
"from numpy.polynomial.polynomial import Polynomial\n",
"\n",
"plt.figure(figsize=(12, 5.5))\n",
"\n",
"# Plot TSI (Left Leg)\n",
"plt.plot(\n",
" oxygenation['Time'], oxygenation['TSI'], \n",
" label='TSI (Left Leg)', color='steelblue', linewidth=2\n",
")\n",
"\n",
"# Plot TSI2 (Right Leg)\n",
"plt.plot(\n",
" oxygenation['Time'], oxygenation['TSI-second'],\n",
" label='TSI2 (Right Leg)', color='orange', linewidth=2\n",
")\n",
"\n",
"# Define time intervals for stages (adjust these based on your test protocol)\n",
"# Looking at the data range, we'll create intervals\n",
"max_time = oxygenation['Time'].max()\n",
"intervals = [\n",
" (0, 250),\n",
" (250, 500),\n",
" (500, 750),\n",
" (750, 1000),\n",
" (1000, 1250),\n",
" (1250, 1500),\n",
" (1500, max_time)\n",
"]\n",
"\n",
"# Calculate and plot trend lines for each interval\n",
"for start_time, end_time in intervals:\n",
" # Filter data for this interval\n",
" mask_interval = (oxygenation['Time'] >= start_time) & (oxygenation['Time'] <= end_time)\n",
" \n",
" # TSI (Left Leg) trend for this interval\n",
" mask_left = mask_interval & ~oxygenation['TSI'].isna()\n",
" if mask_left.sum() > 1: # Need at least 2 points for a line\n",
" x_left = oxygenation.loc[mask_left, 'Time']\n",
" y_left = oxygenation.loc[mask_left, 'TSI']\n",
" coefs_left = Polynomial.fit(x_left, y_left, 1).convert().coef\n",
" trend_left = coefs_left[0] + coefs_left[1] * x_left\n",
" plt.plot(x_left, trend_left, color='black', linestyle='--', linewidth=2, alpha=0.8)\n",
" \n",
" # TSI-second (Right Leg) trend for this interval\n",
" mask_right = mask_interval & ~oxygenation['TSI-second'].isna()\n",
" if mask_right.sum() > 1: # Need at least 2 points for a line\n",
" x_right = oxygenation.loc[mask_right, 'Time']\n",
" y_right = oxygenation.loc[mask_right, 'TSI-second']\n",
" coefs_right = Polynomial.fit(x_right, y_right, 1).convert().coef\n",
" trend_right = coefs_right[0] + coefs_right[1] * x_right\n",
" plt.plot(x_right, trend_right, color='black', linestyle='--', linewidth=2, alpha=0.8)\n",
"\n",
"plt.xlabel('Time (s)')\n",
"plt.ylabel('TSI (%)')\n",
"plt.title('TSI (Left) and TSI2 (Right) with Black Slope Lines per Stage')\n",
"plt.legend(fontsize=10, loc='upper right')\n",
"plt.tight_layout()\n",
"plt.grid(alpha=0.25)\n",
"# plt.savefig('graphs/tsi_comparison_with_trends.png', bbox_inches='tight', dpi=160)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "25327cc1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Age: 45, Gender: male, VO2 Max: 35.5\n",
"Age Range: 40-49, Category: Poor\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 1400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.patches as patches\n",
"from matplotlib.table import Table\n",
"import numpy as np\n",
"\n",
"# VO2 Max Master Chart Data\n",
"VO2_MASTER_CHART = {\n",
" 'male': {\n",
" '20-29': {\n",
" 'Very Poor': (29.0, 38.1),\n",
" 'Poor': (38.1, 44.9),\n",
" 'Fair': (44.9, 50.2),\n",
" 'Good': (50.2, 61.8),\n",
" 'Excellent': (57.1, 66.3),\n",
" 'Superior': (66.3, None) # None means open-ended\n",
" },\n",
" '30-39': {\n",
" 'Very Poor': (27.2, 34.1),\n",
" 'Poor': (34.1, 39.6),\n",
" 'Fair': (39.6, 45.2),\n",
" 'Good': (45.2, 51.6),\n",
" 'Excellent': (51.6, 59.8),\n",
" 'Superior': (59.8, None)\n",
" },\n",
" '40-49': {\n",
" 'Very Poor': (24.2, 30.5),\n",
" 'Poor': (30.5, 35.7),\n",
" 'Fair': (35.7, 40.3),\n",
" 'Good': (40.3, 46.7),\n",
" 'Excellent': (46.7, 55.6),\n",
" 'Superior': (55.6, None)\n",
" },\n",
" '50-59': {\n",
" 'Very Poor': (20.9, 26.1),\n",
" 'Poor': (26.1, 30.7),\n",
" 'Fair': (30.7, 35.1),\n",
" 'Good': (35.1, 41.2),\n",
" 'Excellent': (41.2, 50.7),\n",
" 'Superior': (50.7, None)\n",
" },\n",
" '60-69': {\n",
" 'Very Poor': (17.4, 22.4),\n",
" 'Poor': (22.4, 26.6),\n",
" 'Fair': (26.6, 30.5),\n",
" 'Good': (30.5, 36.1),\n",
" 'Excellent': (36.1, 43.0),\n",
" 'Superior': (43.0, None)\n",
" }\n",
" },\n",
" 'female': {\n",
" '20-29': {\n",
" 'Very Poor': (21.7, 28.6),\n",
" 'Poor': (28.6, 34.6),\n",
" 'Fair': (34.6, 40.6),\n",
" 'Good': (40.6, 46.5),\n",
" 'Excellent': (46.5, 56.0),\n",
" 'Superior': (56.0, None)\n",
" },\n",
" '30-39': {\n",
" 'Very Poor': (19.0, 24.1),\n",
" 'Poor': (24.1, 28.2),\n",
" 'Fair': (28.2, 32.2),\n",
" 'Good': (32.2, 35.7),\n",
" 'Excellent': (35.7, 45.8),\n",
" 'Superior': (45.8, None)\n",
" },\n",
" '40-49': {\n",
" 'Very Poor': (17.0, 21.3),\n",
" 'Poor': (21.3, 24.9),\n",
" 'Fair': (24.9, 28.7),\n",
" 'Good': (28.7, 34.0),\n",
" 'Excellent': (34.0, 41.7),\n",
" 'Superior': (41.7, None)\n",
" },\n",
" '50-59': {\n",
" 'Very Poor': (16.0, 19.1),\n",
" 'Poor': (19.1, 24.4),\n",
" 'Fair': (21.8, 27.6),\n",
" 'Good': (25.2, 28.6),\n",
" 'Excellent': (28.6, 35.9),\n",
" 'Superior': (35.9, None)\n",
" },\n",
" '60-69': {\n",
" 'Very Poor': (13.4, 16.5),\n",
" 'Poor': (16.5, 18.9),\n",
" 'Fair': (18.9, 21.2),\n",
" 'Good': (21.2, 24.6),\n",
" 'Excellent': (24.6, 29.4),\n",
" 'Superior': (29.4, None)\n",
" }\n",
" }\n",
"}\n",
"\n",
"def get_age_range(age):\n",
" \"\"\"Determine age range from age in years.\"\"\"\n",
" if 20 <= age <= 29:\n",
" return '20-29'\n",
" elif 30 <= age <= 39:\n",
" return '30-39'\n",
" elif 40 <= age <= 49:\n",
" return '40-49'\n",
" elif 50 <= age <= 59:\n",
" return '50-59'\n",
" elif 60 <= age <= 69:\n",
" return '60-69'\n",
" else:\n",
" # Default to closest range\n",
" if age < 20:\n",
" return '20-29'\n",
" elif age >= 70:\n",
" return '60-69'\n",
" else:\n",
" return '30-39' # fallback\n",
"\n",
"def determine_category(vo2_max, age_range, gender):\n",
" \"\"\"Determine VO2 max category based on value, age, and gender.\"\"\"\n",
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
" ranges = VO2_MASTER_CHART[gender_key][age_range]\n",
" \n",
" categories = ['Very Poor', 'Poor', 'Fair', 'Good', 'Excellent', 'Superior']\n",
" \n",
" # Check Superior category first (open-ended)\n",
" min_val, max_val = ranges['Superior']\n",
" if max_val is None and vo2_max >= min_val:\n",
" print(f\"It is always superior\")\n",
" return 'Superior'\n",
" \n",
" # Check other categories from Excellent down to Very Poor\n",
" # Ranges are typically [min, max) - inclusive of min, exclusive of max\n",
" # But when value equals max, it belongs to the next category\n",
" for category in reversed(categories[:-1]): # Exclude Superior as we already checked it\n",
" min_val, max_val = ranges[category]\n",
" # Check if value falls in this range (inclusive of min, exclusive of max)\n",
" if min_val <= vo2_max < max_val:\n",
" return category\n",
" \n",
" # If value is below all ranges, return Very Poor\n",
" # This handles the case where vo2_max < min of Very Poor\n",
" return 'Very Poor'\n",
"\n",
"def format_range(min_val, max_val):\n",
" \"\"\"Format range as string.\"\"\"\n",
" if max_val is None:\n",
" return f\"{min_val}+\"\n",
" else:\n",
" return f\"{min_val}-{max_val}\"\n",
"\n",
"def generate_vo2_max_table(age, gender, vo2_max_value, save_path=None):\n",
" \"\"\"\n",
" Generate VO2 Max table with indicator arrow.\n",
" \n",
" Args:\n",
" age: Patient age in years\n",
" gender: 'male' or 'female' (or 'm'/'f')\n",
" vo2_max_value: Patient's VO2 max value\n",
" save_path: Optional path to save the figure\n",
" \n",
" Returns:\n",
" fig, ax: matplotlib figure and axes\n",
" \"\"\"\n",
" # Determine age range and category\n",
" age_range = get_age_range(age)\n",
" category = determine_category(vo2_max_value, age_range, gender)\n",
" \n",
" # Debug: print the determined category\n",
" print(f\"Age: {age}, Gender: {gender}, VO2 Max: {vo2_max_value}\")\n",
" print(f\"Age Range: {age_range}, Category: {category}\")\n",
" \n",
" # Get the appropriate data\n",
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
" ranges = VO2_MASTER_CHART[gender_key][age_range]\n",
" \n",
" # Prepare table data\n",
" headers = ['Age', 'Very Poor', 'Poor', 'Fair', 'Good', 'Excellent', 'Superior']\n",
" age_label = f\"{age_range} ({gender[0].upper()})\"\n",
" \n",
" row_data = [age_label]\n",
" for cat in ['Very Poor', 'Poor', 'Fair', 'Good', 'Excellent', 'Superior']:\n",
" min_val, max_val = ranges[cat]\n",
" row_data.append(format_range(min_val, max_val))\n",
" \n",
" # Create figure\n",
" fig, ax = plt.subplots(figsize=(14, 3))\n",
" ax.axis('off')\n",
" \n",
" # Create table\n",
" table_data = [headers, row_data]\n",
" table = ax.table(cellText=table_data,\n",
" cellLoc='center',\n",
" loc='center',\n",
" bbox=[0, 0, 1, 1])\n",
" \n",
" # Style the table\n",
" table.auto_set_font_size(False)\n",
" table.set_fontsize(11)\n",
" table.scale(1, 2.5)\n",
" \n",
" # Header row styling (cyan background)\n",
" for i in range(len(headers)):\n",
" cell = table[(0, i)]\n",
" cell.set_facecolor('#7dd3fc') # cyan-300 equivalent\n",
" cell.set_text_props(weight='bold', color='black')\n",
" cell.set_edgecolor('#9ca3af') # gray-400\n",
" cell.set_linewidth(1)\n",
" \n",
" # Find the column index for the category (before styling)\n",
" category_index = headers.index(category)\n",
" \n",
" # Data row styling\n",
" for i in range(len(row_data)):\n",
" cell = table[(1, i)]\n",
" if i == 0: # Age column\n",
" cell.set_facecolor('#a5f3fc') # cyan-200\n",
" cell.set_text_props(weight='semibold', color='black')\n",
" else:\n",
" cell.set_facecolor('#f3f4f6') # gray-100\n",
" cell.set_text_props(color='black')\n",
" # Bold the cell that corresponds to the patient's category\n",
" if i == category_index:\n",
" cell.set_text_props(weight='bold', color='black')\n",
" cell.set_edgecolor('#9ca3af') # gray-400\n",
" cell.set_linewidth(1)\n",
" \n",
" # Add arrow indicator below the category column\n",
" # Calculate position\n",
" cell_width = 1.0 / len(headers)\n",
" arrow_x = (category_index + 0.5) * cell_width\n",
" \n",
" # Draw arrow pointing up\n",
" arrow = patches.FancyArrowPatch(\n",
" (arrow_x, -0.15), (arrow_x, -0.05),\n",
" arrowstyle='->', mutation_scale=20, \n",
" linewidth=2, color='black',\n",
" transform=ax.transAxes\n",
" )\n",
" ax.add_patch(arrow)\n",
" \n",
" # Add triangle at the top\n",
" triangle = patches.RegularPolygon(\n",
" (arrow_x, -0.05), 3, radius=0.02,\n",
" orientation=np.pi/2, color='black',\n",
" transform=ax.transAxes\n",
" )\n",
" ax.add_patch(triangle)\n",
" \n",
" # Set title - calculate approximate percentile\n",
" # For Superior category, use 100th percentile as shown in template\n",
" if category == 'Superior':\n",
" percentile = '100th percentile'\n",
" else:\n",
" percentile_map = {\n",
" 'Very Poor': '1st-10th percentile',\n",
" 'Poor': '10th-20th percentile',\n",
" 'Fair': '20th-40th percentile',\n",
" 'Good': '40th-60th percentile',\n",
" 'Excellent': '60th-80th percentile'\n",
" }\n",
" percentile = percentile_map.get(category, 'N/A')\n",
" \n",
" title = f\"VO2 Max - {vo2_max_value:.1f} ({percentile})\"\n",
" ax.set_title(title, fontsize=14, fontweight='bold', pad=20)\n",
" \n",
" plt.tight_layout()\n",
" \n",
" if save_path:\n",
" plt.savefig(save_path, dpi=300, bbox_inches='tight')\n",
" \n",
" return fig, ax\n",
"\n",
"# Test the function\n",
"# Example: 30-year-old female with VO2 max of 49.5\n",
"fig, ax = generate_vo2_max_table(\n",
" age=45,\n",
" gender='male',\n",
" vo2_max_value=35.5,\n",
" save_path=f'{base_dir}/graphs/vo2_max_table.png'\n",
")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "c46b53f0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Age: 50, Gender: male, Resting Heart Rate: 76\n",
"Age Range: 46-55, Category: Average\n"
]
},
{
"data": {
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SpIsHzeemja2tqn88WM4eaVWo9pvKVrKixT6eNm9IHSk9LxPLVqKCitRvLSc3D1Xs0scYD+zcg8DB6Qd1EMncPYhruvTKXKiUSr7RRZL5zdTz+8zdDRZt2FaS+Tfr7u0g3b50VpcP77FYduHANuNB1aktKzT2dT8NL+uh9WMHGPs5u/PRv3lHVy80BljOX8PczWb+6o2N5XGtORycXVTw9TclPei6KiZG5/ZuMgfeFV9Gz2xbbWzv4OJpGlUts75/LZ32zPkpPk8JWqwY38dHg5S5cGk5uLgqfc78kiR7Ryf9Paibxr6eU0NLu+l/rV/T/Xt3JZl/7yVzvS0u0J+3WkPlqlBLLmnTyf+jb5Ls42nzBuuUkq46UnpfkPDcKdf2I6XPVUDu6TOpyvvxZe301pWKjYnRxX92SjL/dhSq01xO7mlU7YOBsnNwfN6HCEiSqn80SD55iyo2Olpntpsf+tf8ZJi8/fJJMo9bFFcH8fbLr9f7jJSbt49c06VXsUbt5JOn8Auppzztb261D75S2szZlblgSfnkK2rO09ULT7Rv/Lc8bb3tUWp9+p3cvH2Up3Jdoz4XcuX8Q9M/r/tQ6iovFoGNVHBs7SKjGVPmQqV1/eRhBZ8/ZYyDERR4TFePHVBYgjcD02TMmuzfce7euvnY/d4LvfWsWQdeGDsHR3nlyKtK73yh1hOW6N7t+HM6Tab4c97BxdXol/ruLXMgJO7NWif3tHJy80h2vbi0cbz88tJ1zX9A3KB8n6y7IL9y/pKkm6eP6MSGpZKSnhfJiUjUjUacJzlH02bKJk/fnJIeBDEePDit0KmXZGOjC/u3Gd1QObp5KFOBko/MU8Dfc4y/ffIV1fWThxUZFqp0D/rSDdy5zrguFKjZzKgAHl254EE3VOaHSHEPrVLyPSTuTkSS0bVVnMiwUM18r56Orl6osJtXjQpcQtGR5qDSnRvmAWw9fLJYdLuVuLufp80bUk9K6znZSlU23sQ7smrBg26ozkqKD8jdC72V7HmUUERo0v9/n3yW56YpNlZzPmyig4unKfTqBYvu4+Lcjzs3r5vrX0muKYnqX0+bN6SOlJ6XiSUMttrY2sr9wW/U3QfXgIR18LQJ0iZcLy5N0YZtJRsbozuquLdVbezsVKT+W+a0wSmo04c8uk6fsKvCdNly6frJw0qbOXv88gQDcRZt1NbI49ld63V0pTm46JLWS3mr1pckhafkdziZcz3xNeLSoV2a1+NNnd21QRGht5J0Bxp3fQhLMMB5moy+Cf5Oeg/0tHmD9Uh47t66eMZ4IOuePpO+PBStxoP/Z5E+pfcFdy3qccmX3fBbN3X31k3jmuHhE38+Oji7WIz3BzypxIOHv7tgr7HMzsFRpVvGd7vm4OKm4k3jH6beCwk26iDefvmSDfq9iHrK0/7mxrVYlCR7R/M9eFzLbSA5T1tvexSv7AnOQ6fHn4fP6z6UusqLxRgbqSDhzcTeub9o79xfkqZZPlfuGTIb03duXDZuDkKTiWy7pkuv4POn5Ojqrt5bbiQZVNBkMjEYDV5J7X9dI7+y/knmu3imN/4OvXbJ+Pt+xD3dfXDD4pou/YO03tL5U4oMC1HU3TBjIOHQqxeN9VwTbE+SHJxchP8OjwyZVaDWG8abEHEtLeKaaUtSz/UX5Z4+k8V6j/rtfJJzVDK3wrh9KVAXD26Xk3tauaT1UraSleSdI58uHthubCNbiYoWg1UmJyBBn+wbxn+lDeO/slgeGx2to6sXqnTL9+To6qYCNZvq0F8zdWT1QuON2PS5Cipz4dJJvodSLd5Vg69+UmLJdYOYuBxd/GeHcY0q2qid6vYdK2ePtJrfq6WOrf7DIq1Hhiy6dfGMwm5csfie7yT4Lp8lb0g9Ka3nZCpQQkUatNGWSUN1YsNS4wGRs4en8lZrIMn8cNXGzk6mmBjlrlRbbX5J2gVPsuems+W5GXz+lNFHe87XaqrZ8N/l5u2j1SP7aMdvlgPAevhkVlDgsQfXlHA5upoDg4nrX0+bN6SOJzkvE0r4/26KjTUeusfVKxL+zodeu6gM7oWSrBd3vUiXNaeylayoC/u26sjK+boXeluSlLvC60bLUVev+O3V6DEk2UHNH3VehV67pPP7txrTs96rnyRNwr6pc5SpprSZsyvkynkFrJinkxuXSZIK1W1pvI3uluB3uNn3M1WkXqsk+UnuWpn4GnF83Z/GA+J6/cerxBtdZO/opJFVMhoPoyUZwSNJFl3AJXcP9LR5g/VwT59JGQuU0LVjBxQVfkcHl0w3WkQlJ6X3BQnvDe5ci1+W8Dxz9fSWa7r0srV3UGz0fd25Hl9HiY6M4MUKvDDhwTeMgbclc+u/NT98btSDE9ZBgs6eSPa37kXUU572N9fOPv75VHLLbcTvNCw9Sb0tpdd5i+ekKVjnSe9DH5YP6iovFi02XrLwB4PzPc6RlfOVvVQlY3rbryMUHnRd147/owOLpiZJn7uyefCyqLthWj7kI4XdvKboyAhdObpfa8f006rvej2/gwBeAm+/fMYb7ic3/qUz29coMixUG8Z/adwU537QX3TuyuYxAkyxsVo3doAi7oTo7K71Or5usSTzG35x3eTgv+nOjSs6tib+wbpHenPgOE+V+IEfl33TTbcvn1PM/SjdOHNUWyYPMw8w/xBPco5KUvbS5u6obl86q+snD8m3WHnZ2Ngoa4kKCg++ritHzG9pPa4bqitH9yv4QXDiUSwGF3/QMiP47AkdX/+npPi3dOOOJa61xz9LpuvY2sW6f++u7oUE68TGvzTno6Y6v2fTY/eZ8I0XBycX2Tk46sy21RZdfsXJ9uAaF3bzqnbPmqDI8DvaOWOcQhM8XHieecPL8ST1HCn+3IwKv6O988w3LIXqtJC9o5Mkc4Airkyc3rZa++ZPVmT4HUWG31HgznVa3LejDv0167H7i05wbto7Osne2UWXA/bo0NKZSdJmK2k+N02xsdr0yyBFhoXqyKqFFl2EPs+84cV70vMyoQsHtitgxTxFht8x18cfDDqZ48FLGbkr1THSbvjxa929HaSrxw4Y9XUHF1ejz37J3IWfJAXuWq8rAQ+6oXpQDiRzcNvJI60kacfvY3R213pFR0UqPOi6AlbM128d/S0G3072GFLwoCquy0IbGxsVadhGkvk3NjzomjmfDeOvEbkqvi6bBwH3jT99o8sBexRzP0qhVy/qwKKpmtyizGP3JyW6Rri6KzY6Wtt+HWER1JDM9ba4fqpPbvxL5/Zs0r2QW9owYWCSbT6vvOHVVu2D+P/7Vd/10oFFUxURelv3I+4l6UYkpfcFuSrUMlqM7po5QUFnTyjs5lWLwcRzV64jWzs7ZS1WXpJ0+fAeHVm5wFzf+/Fri8Fkgedp2aBuCg++Lif3NCrd6n1J0r75k3R6q7nrTgdnF+PlwKCzx7V21OcKD76hu7eDdGjZbF0/FfBC6ikv6jfXOU064+8bZ448dIxD/Dc8ab3NOY2nMe/aiUPPLR9Peh8adx6HXLmgiAfdikrUVV40Wmy8ZEdXLzSaz1b7YKCqdvvSYvm8Hm/q+Lo/dfvSWdk7ucivnL/O7tqgc7s3apS/+e2lhC054iLb5dv30NFVC3X95CHtXzhF+xdOsdhuwsF0AGtgY2Ojuv3Gal6PNxQdGaGZ79a1WO6VPY8qdOotSSrfrocCls9TUOAx7Z41QbtnTYjfjp2d6vQda9HVDf47fu9SK8k8D58sRp/jReq/pX/+nK7Anet0YsNSo4uqOI8KMjzJOZp4W6bYWGUtUUGSuf/2g4unGQ+iHhfYSBiwaDxkqoo/6LInzqQWZXTt2AGd37dFd65flodPFuV8raY8fLLozvXL5muQjY3Rn3uc+gMmaHb3xoqOjND8T5on2e9rHT55ZL4k8wNhl7ReuhcSrH0LJmvfgsmSjY3S+eY0WsnEqfxOXwWsmKeYqEitHN5TK4f3lK29vVzTpdfdWzct3lp5HnnDy/Ek9ZyLB3coa/HX5FusnC79s8tYr1jjdhbr1O7zg37r5K/IsFAtG9RNywZ1s1ies3yNx+Yrfc4C8sqeR8HnT+nkpr/1/WvmG4902XIbD6rjlG/3sfbM+Vn3bgdp+9QftH3qD5LMbw3HjT3wPPOGF+9pzss47t4Z9UefNhbp7Z1dVOW9fpKkog3a6MCiqTq/d7OOrf4jSeu0Gj2GyiVt/AObQrWba8WwHsZDfkc3D+OaJEmOru6q3ecHLR34ju4G39DvXV9/omM1xliysdFHK07J80GAQDJ3NzW6RlbFRkcrYMV842FxsYbttHXycOM78sqex7hGSZKnr5+qvNdfm34apOCzJ/S/1vHfz5PIW62BdkwfI0la0r+zlvTvLBdPbzl7eCrizm0jnY2Njap1/1pL+nfW/Xt3Nb2zuRxZ3AM9uEY8r7zh1Za/eiPV7DlMa8f0U9TdMC396h0t/eqdZNOm9L4gXbZcqtilj7ZO+U5BZ4/rp0aFLLZToFYz5a5ofkGl2odfm8uiyaSFvVtLMndj4uDianTvCTyp5O5T2v+6RqFXL+r42sWSpFq9vlPxpp108cB2XTt+UEu/elfvLzoo5zSeqv3ZD5rWsZoi74Ro+7RR2j5tlMV2pOdfT3lRv7le2fPIOU06RYTeMupeHj6++mTtwwP5+Pd60npbliJljWWT3jR36Vz5nb6q/vFgPasnuQ/NUriMrh7dr9uXAjWiorlr6raTVihXhVrUVV4gnvS9ZEcS9mnbMOmbwHH960rmpldv/jBXheu1loOLm1zTpddrHXuqbJvuRhrnB902OLl5qNP0jarYpY+8/PLJzsFRzh6e8slXTOXb9+ChD6xS3qr11XHqeuWt1kDOadLJ1t5eaTNnV9m3uqvzjC3GgwJnj7Tq/PtmlW/fQ56+OWVr7yBnD0/lrlRb7aesVoGaTR6zJ/zb2drbK03GrCrWuIM6Td9kvNVha2ent37+SzV6DFGGPEVk7+QsRzcPpc9VUKVavPvYylB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",
"text/plain": [
"<Figure size 1600x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Resting Heart Rate Master Chart Data\n",
"RHR_MASTER_CHART = {\n",
" 'male': {\n",
" '18-25': {\n",
" 'Poor': (85, None), # 85bpm+\n",
" 'Below Average': (79, 85),\n",
" 'Average': (74, 79),\n",
" 'Above Average': (70, 74),\n",
" 'Good': (66, 70),\n",
" 'Excellent': (61, 66),\n",
" 'Athlete': (40, 61)\n",
" },\n",
" '26-35': {\n",
" 'Poor': (83, None), # 83bpm+\n",
" 'Below Average': (77, 83),\n",
" 'Average': (73, 77),\n",
" 'Above Average': (69, 73),\n",
" 'Good': (65, 69),\n",
" 'Excellent': (60, 65),\n",
" 'Athlete': (42, 60)\n",
" },\n",
" '36-45': {\n",
" 'Poor': (85, None), # 85bpm+\n",
" 'Below Average': (79, 85),\n",
" 'Average': (74, 79),\n",
" 'Above Average': (70, 74),\n",
" 'Good': (65, 70),\n",
" 'Excellent': (60, 65),\n",
" 'Athlete': (45, 60)\n",
" },\n",
" '46-55': {\n",
" 'Poor': (84, None), # 84bpm+\n",
" 'Below Average': (78, 84),\n",
" 'Average': (74, 78),\n",
" 'Above Average': (70, 74),\n",
" 'Good': (66, 70),\n",
" 'Excellent': (61, 66),\n",
" 'Athlete': (48, 61)\n",
" },\n",
" '56-65': {\n",
" 'Poor': (84, None), # 84bpm+\n",
" 'Below Average': (78, 84),\n",
" 'Average': (74, 78),\n",
" 'Above Average': (70, 74),\n",
" 'Good': (65, 70),\n",
" 'Excellent': (60, 65),\n",
" 'Athlete': (50, 60)\n",
" },\n",
" '65+': {\n",
" 'Poor': (84, None), # 84bpm+\n",
" 'Below Average': (77, 84),\n",
" 'Average': (73, 77),\n",
" 'Above Average': (70, 73),\n",
" 'Good': (65, 70),\n",
" 'Excellent': (60, 65),\n",
" 'Athlete': (52, 60)\n",
" }\n",
" },\n",
" 'female': {\n",
" '18-25': {\n",
" 'Poor': (82, None), # 82bpm+\n",
" 'Below Average': (74, 82),\n",
" 'Average': (70, 74),\n",
" 'Above Average': (66, 70),\n",
" 'Good': (62, 66),\n",
" 'Excellent': (56, 62),\n",
" 'Athlete': (40, 56)\n",
" },\n",
" '26-35': {\n",
" 'Poor': (82, None), # 82bpm+\n",
" 'Below Average': (75, 82),\n",
" 'Average': (71, 75),\n",
" 'Above Average': (66, 71),\n",
" 'Good': (62, 66),\n",
" 'Excellent': (55, 62),\n",
" 'Athlete': (44, 55)\n",
" },\n",
" '36-45': {\n",
" 'Poor': (83, None), # 83bpm+\n",
" 'Below Average': (76, 83),\n",
" 'Average': (71, 76),\n",
" 'Above Average': (67, 71),\n",
" 'Good': (63, 67),\n",
" 'Excellent': (57, 63),\n",
" 'Athlete': (47, 57)\n",
" },\n",
" '46-55': {\n",
" 'Poor': (84, None), # 84bpm+\n",
" 'Below Average': (77, 84),\n",
" 'Average': (72, 77),\n",
" 'Above Average': (68, 72),\n",
" 'Good': (64, 68),\n",
" 'Excellent': (58, 64),\n",
" 'Athlete': (49, 58)\n",
" },\n",
" '56-65': {\n",
" 'Poor': (82, None), # 82bpm+\n",
" 'Below Average': (76, 82),\n",
" 'Average': (72, 76),\n",
" 'Above Average': (68, 72),\n",
" 'Good': (62, 68),\n",
" 'Excellent': (57, 62),\n",
" 'Athlete': (51, 57)\n",
" },\n",
" '65+': {\n",
" 'Poor': (80, None), # 80bpm+\n",
" 'Below Average': (74, 80),\n",
" 'Average': (70, 74),\n",
" 'Above Average': (66, 70),\n",
" 'Good': (62, 66),\n",
" 'Excellent': (56, 62),\n",
" 'Athlete': (52, 56)\n",
" }\n",
" }\n",
"}\n",
"\n",
"def get_rhr_age_range(age):\n",
" \"\"\"Determine age range from age in years for resting heart rate.\"\"\"\n",
" if 18 <= age <= 25:\n",
" return '18-25'\n",
" elif 26 <= age <= 35:\n",
" return '26-35'\n",
" elif 36 <= age <= 45:\n",
" return '36-45'\n",
" elif 46 <= age <= 55:\n",
" return '46-55'\n",
" elif 56 <= age <= 65:\n",
" return '56-65'\n",
" else:\n",
" # Default to closest range\n",
" if age < 18:\n",
" return '18-25'\n",
" elif age > 65:\n",
" return '65+'\n",
" else:\n",
" return '26-35' # fallback\n",
"\n",
"def determine_rhr_category(rhr, age_range, gender):\n",
" \"\"\"Determine resting heart rate category based on value, age, and gender.\"\"\"\n",
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
" ranges = RHR_MASTER_CHART[gender_key][age_range]\n",
" \n",
" categories = ['Poor', 'Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']\n",
" \n",
" # Check Poor category first (open-ended at top)\n",
" min_val, max_val = ranges['Poor']\n",
" if max_val is None and rhr >= min_val:\n",
" return 'Poor'\n",
" \n",
" # Check other categories from Below Average down to Athlete\n",
" # For RHR, lower is better, so we check from highest to lowest\n",
" for category in ['Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']:\n",
" min_val, max_val = ranges[category]\n",
" # Check if value falls in this range (inclusive of min, exclusive of max)\n",
" if min_val <= rhr < max_val:\n",
" return category\n",
" \n",
" # If value is below all ranges (below Athlete minimum), return Athlete\n",
" # This handles the case where rhr < min of Athlete\n",
" return 'Athlete'\n",
"\n",
"def format_rhr_range(min_val, max_val):\n",
" \"\"\"Format RHR range as string.\"\"\"\n",
" if max_val is None:\n",
" return f\"{min_val}bpm +\"\n",
" else:\n",
" return f\"{min_val}-{max_val}bpm\"\n",
"\n",
"def generate_resting_heart_rate_table(age, gender, rhr_value, save_path=None):\n",
" \"\"\"\n",
" Generate Resting Heart Rate table with indicator arrow.\n",
" \n",
" Args:\n",
" age: Patient age in years\n",
" gender: 'male' or 'female' (or 'm'/'f')\n",
" rhr_value: Patient's resting heart rate value in bpm\n",
" save_path: Optional path to save the figure\n",
" \n",
" Returns:\n",
" fig, ax: matplotlib figure and axes\n",
" \"\"\"\n",
" # Determine age range and category\n",
" age_range = get_rhr_age_range(age)\n",
" category = determine_rhr_category(rhr_value, age_range, gender)\n",
" \n",
" # Debug: print the determined category\n",
" print(f\"Age: {age}, Gender: {gender}, Resting Heart Rate: {rhr_value}\")\n",
" print(f\"Age Range: {age_range}, Category: {category}\")\n",
" \n",
" # Get the appropriate data\n",
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
" ranges = RHR_MASTER_CHART[gender_key][age_range]\n",
" \n",
" # Prepare table data\n",
" headers = ['Age', 'Poor', 'Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']\n",
" age_label = f\"{age_range} ({gender[0].upper()})\"\n",
" \n",
" row_data = [age_label]\n",
" for cat in ['Poor', 'Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']:\n",
" min_val, max_val = ranges[cat]\n",
" row_data.append(format_rhr_range(min_val, max_val))\n",
" \n",
" # Create figure\n",
" fig, ax = plt.subplots(figsize=(16, 3))\n",
" ax.axis('off')\n",
" \n",
" # Create table\n",
" table_data = [headers, row_data]\n",
" table = ax.table(cellText=table_data,\n",
" cellLoc='center',\n",
" loc='center',\n",
" bbox=[0, 0, 1, 1])\n",
" \n",
" # Style the table\n",
" table.auto_set_font_size(False)\n",
" table.set_fontsize(11)\n",
" table.scale(1, 2.5)\n",
" \n",
" # Header row styling (cyan background)\n",
" for i in range(len(headers)):\n",
" cell = table[(0, i)]\n",
" cell.set_facecolor('#7dd3fc') # cyan-300 equivalent\n",
" cell.set_text_props(weight='bold', color='black')\n",
" cell.set_edgecolor('#9ca3af') # gray-400\n",
" cell.set_linewidth(1)\n",
" \n",
" # Find the column index for the category (before styling)\n",
" category_index = headers.index(category)\n",
" \n",
" # Data row styling\n",
" for i in range(len(row_data)):\n",
" cell = table[(1, i)]\n",
" if i == 0: # Age column\n",
" cell.set_facecolor('#a5f3fc') # cyan-200\n",
" cell.set_text_props(weight='semibold', color='black')\n",
" else:\n",
" # Highlight the category cell with light green background\n",
" if i == category_index:\n",
" cell.set_facecolor('#d1fae5') # green-200 equivalent\n",
" cell.set_text_props(weight='bold', color='black')\n",
" else:\n",
" cell.set_facecolor('#f3f4f6') # gray-100\n",
" cell.set_text_props(color='black')\n",
" cell.set_edgecolor('#9ca3af') # gray-400\n",
" cell.set_linewidth(1)\n",
" \n",
" # Add arrow indicator below the category column\n",
" # Calculate position\n",
" cell_width = 1.0 / len(headers)\n",
" arrow_x = (category_index + 0.5) * cell_width\n",
" \n",
" # Draw arrow pointing up\n",
" arrow = patches.FancyArrowPatch(\n",
" (arrow_x, -0.15), (arrow_x, -0.05),\n",
" arrowstyle='->', mutation_scale=20, \n",
" linewidth=2, color='black',\n",
" transform=ax.transAxes\n",
" )\n",
" ax.add_patch(arrow)\n",
" \n",
" # Add triangle at the top\n",
" triangle = patches.RegularPolygon(\n",
" (arrow_x, -0.05), 3, radius=0.02,\n",
" orientation=np.pi/2, color='black',\n",
" transform=ax.transAxes\n",
" )\n",
" ax.add_patch(triangle)\n",
" \n",
" # Set title\n",
" title = f\"Resting Heart Rate - {rhr_value:.0f}bpm\"\n",
" ax.set_title(title, fontsize=14, fontweight='bold', pad=20)\n",
" \n",
" plt.tight_layout()\n",
" \n",
" if save_path:\n",
" plt.savefig(save_path, dpi=300, bbox_inches='tight')\n",
" \n",
" return fig, ax\n",
"\n",
"# Test the function\n",
"# Example: 30-year-old female with resting heart rate of 53bpm\n",
"fig, ax = generate_resting_heart_rate_table(\n",
" age=50,\n",
" gender='male',\n",
" rhr_value=76,\n",
" save_path=f'{base_dir}/graphs/resting_heart_rate_table.png'\n",
")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "84addc63",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"Optimal Fat Burning Zone (highest fat:carb ratio):\n",
"Time: 164.0 seconds\n",
"Fat burn rate: 3.894 kcal/min\n",
"Carb burn rate: 1.575 kcal/min\n",
"Fat:Carb ratio: 2.47\n",
"Heart Rate: 96.7 bpm\n",
"VO2: 1147.9 ml/min\n",
"VT1: {'HeartRate': 100.5, 'Speed': 4.0, 'Time': 251.0}\n",
"VT2: {'HeartRate': 189.71300000000002, 'Speed': 7.5, 'Time': 1524.0}\n",
"Zone 1 (Active Recovery): 81.7 - 96.7 bpm\n",
"Zone 2 (Aerobic Base): 96.7 - 100.5 bpm\n",
"Zone 3 (Aerobic): 100.5 - 179.7 bpm\n",
"Zone 4 (Lactate Threshold): 179.7 - 189.7 bpm\n",
"Zone 5 (VO2 Max): 189.7 - 199.7 bpm\n"
]
}
],
"source": [
"\n",
"# Find the point where fat burning is highest and carb burning is lowest\n",
"# Using the smoothed data for more stable results\n",
"fat_burn_max_idx = df['FAT_smoothed'].idxmax()\n",
"carb_burn_min_idx = df['CHO_smoothed'].idxmin()\n",
"\n",
"\n",
"print(\"\\n\" + \"=\"*50)\n",
"\n",
"# Find the optimal fat burning zone (highest fat:carb ratio)\n",
"df['fat_carb_ratio'] = df['FAT_smoothed'] / (df['CHO_smoothed'] + 0.00000001) # Add small value to avoid division by zero\n",
"optimal_fat_idx = df['fat_carb_ratio'].idxmax()\n",
"optimal_row = df.loc[optimal_fat_idx]\n",
"\n",
"print(\"Optimal Fat Burning Zone (highest fat:carb ratio):\")\n",
"print(f\"Time: {optimal_row['T(sec)']} seconds\")\n",
"print(f\"Fat burn rate: {optimal_row['FAT_smoothed']:.3f} kcal/min\")\n",
"print(f\"Carb burn rate: {optimal_row['CHO_smoothed']:.3f} kcal/min\")\n",
"print(f\"Fat:Carb ratio: {optimal_row['fat_carb_ratio']:.2f}\")\n",
"print(f\"Heart Rate: {optimal_row['HR(bpm)_smoothed']:.1f} bpm\")\n",
"print(f\"VO2: {optimal_row['VO2(ml/min)_smoothed']:.1f} ml/min\")\n",
"\n",
"def detect_vt1(df, fat_col=\"FAT_smoothed\", carb_col=\"CHO_smoothed\"):\n",
" \"\"\"\n",
" Detect VT1 as the first index where carb burn > fat burn and remains higher.\n",
" \"\"\"\n",
" condition = df[carb_col] > df[fat_col]\n",
" crossover_indices = condition[condition].index\n",
"\n",
" if len(crossover_indices) == 0:\n",
" return None # No crossover found\n",
" \n",
" # Find first crossover where carbs remain higher for the rest\n",
" for idx in crossover_indices:\n",
" if all(df.loc[idx:][carb_col] > df.loc[idx:][fat_col]):\n",
" return idx\n",
" return None\n",
"\n",
"\n",
"def detect_vt2(df, vent_col=\"VE(l/min)_smoothed\", bf_col=\"BF(bpm)_smoothed\", smooth_window=5):\n",
" \"\"\"\n",
" Detect VT2 using slope/inflection method.\n",
" Works with either Ventilation (VE) or Breathing Frequency (Bf).\n",
" \"\"\"\n",
" col = vent_col if vent_col in df.columns else bf_col\n",
" \n",
" # Use already smoothed data\n",
" smoothed_col = col\n",
" \n",
" # Compute slope (first derivative)\n",
" df[\"slope\"] = df[smoothed_col].diff()\n",
" \n",
" # Detect inflection: largest change in slope (second derivative peak)\n",
" df[\"second_derivative\"] = df[\"slope\"].diff()\n",
" inflection_idx = df[\"second_derivative\"].idxmax()\n",
" \n",
" return inflection_idx\n",
"\n",
"\n",
"def analyze_thresholds(df_input):\n",
" # Use the existing dataframe\n",
" df_copy = df_input.copy()\n",
" \n",
" # --- Detect VT1 ---\n",
" vt1_idx = detect_vt1(df_copy)\n",
" vt1 = None\n",
" if vt1_idx is not None:\n",
" vt1 = {\n",
" \"HeartRate\": df_copy.loc[vt1_idx, \"HR(bpm)_smoothed\"],\n",
" \"Speed\": df_copy.loc[vt1_idx, \"Speed\"],\n",
" \"Time\": df_copy.loc[vt1_idx, \"T(sec)\"]\n",
" }\n",
" \n",
" # --- Detect VT2 ---\n",
" vt2_idx = detect_vt2(df_copy)\n",
" vt2 = None\n",
" if vt2_idx is not None:\n",
" vt2 = {\n",
" \"HeartRate\": df_copy.loc[vt2_idx, \"HR(bpm)_smoothed\"],\n",
" \"Speed\": df_copy.loc[vt2_idx, \"Speed\"],\n",
" \"Time\": df_copy.loc[vt2_idx, \"T(sec)\"]\n",
" }\n",
" \n",
" return vt1, vt2\n",
"\n",
"\n",
"vt1, vt2 = analyze_thresholds(df)\n",
"print(\"VT1:\", vt1)\n",
"print(\"VT2:\", vt2)\n",
"zone_1_start = optimal_row['HR(bpm)_smoothed'] - 15\n",
"zone_2_start = optimal_row['HR(bpm)_smoothed']\n",
"zone_3_start = vt1\n",
"zone_4_start = vt2['HeartRate'] - 10\n",
"zone_5_start = vt2['HeartRate']\n",
"zone_5_end = vt2['HeartRate'] + 10\n",
"\n",
"zone_1_end = zone_2_start\n",
"zone_2_end = vt1['HeartRate']\n",
"zone_3_end = zone_4_start\n",
"zone_4_end = zone_5_start\n",
"\n",
"print(f\"Zone 1 (Active Recovery): {zone_1_start:.1f} - {zone_1_end:.1f} bpm\")\n",
"print(f\"Zone 2 (Aerobic Base): {zone_2_start:.1f} - {zone_2_end:.1f} bpm\")\n",
"print(f\"Zone 3 (Aerobic): {zone_3_start['HeartRate']:.1f} - {zone_3_end:.1f} bpm\")\n",
"print(f\"Zone 4 (Lactate Threshold): {zone_4_start:.1f} - {zone_4_end:.1f} bpm\")\n",
"print(f\"Zone 5 (VO2 Max): {zone_5_start:.1f} - {zone_5_end:.1f} bpm\")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "f324fe94",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1200x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import math\n",
"\n",
"# Define the fixed rows\n",
"descriptions = [\n",
" \"Improves health and\\nrecovery capacity\",\n",
" \"Improves endurance\\nand fat burning\",\n",
" \"Improves Aerobic\\nfitness\",\n",
" \"Improves maximum\\nperformance capacity\",\n",
" \"Develops maximum\\nperformance and speed\"\n",
"]\n",
"\n",
"hr_percentages = [\n",
" \"55-65% of Max Heart Rate\",\n",
" \"65-75% of Max Heart Rate\",\n",
" \"80-85% of Max Heart Rate\",\n",
" \"85-88% of Max Heart Rate\",\n",
" \"90%+ of Max Heart Rate\"\n",
"]\n",
"\n",
"ideal_breath_ranges = [\n",
" \"Ideal Range: 15-20 breaths\",\n",
" \"Ideal Range: 20-25 breaths\",\n",
" \"Ideal Range: 25-30 breaths\",\n",
" \"Ideal Range: 30-35 breaths\",\n",
" \"Ideal Range: 40+ breaths\"\n",
"]\n",
"\n",
"# Define the zones for iteration\n",
"# Note: zone_3_start is a dictionary (vt1), others are floats\n",
"# Use math.floor to ensure values match the exact integer values requested\n",
"zones_list = [\n",
" (\"Zone 1\", math.floor(zone_1_start), math.floor(zone_1_end)),\n",
" (\"Zone 2\", math.floor(zone_2_start), math.floor(zone_2_end)),\n",
" (\"Zone 3\", math.floor(zone_3_start['HeartRate']), math.floor(zone_3_end)),\n",
" (\"Zone 4\", math.floor(zone_4_start), math.floor(zone_4_end)),\n",
" (\"Zone 5\", math.floor(zone_5_start), math.floor(zone_5_end))\n",
"]\n",
"\n",
"# Calculate metrics for each zone\n",
"zone_metrics = {\n",
" \"HR BPM\": [],\n",
" \"Speed\": [],\n",
" \"Pace\": [],\n",
" \"Calories\": [],\n",
" \"Carb Utilization\": [],\n",
" \"Breathing\": []\n",
"}\n",
"\n",
"for i, (name, start, end) in enumerate(zones_list):\n",
" # Filter dataframe for the current zone\n",
" mask = (df['HR(bpm)_smoothed'] >= start) & (df['HR(bpm)_smoothed'] <= end)\n",
" zone_df = df[mask]\n",
" \n",
" # HR BPM Range\n",
" zone_metrics[\"HR BPM\"].append(f\"{int(start)}-{int(end)} bpm\")\n",
" \n",
" if not zone_df.empty:\n",
" # Speed (Range)\n",
" # df['Speed'] is in mph\n",
" # Filter out 0 speeds for range calculation\n",
" speed_series = zone_df[zone_df['Speed'] > 0.1]['Speed']\n",
" \n",
" if not speed_series.empty:\n",
" min_speed = speed_series.min()\n",
" max_speed = speed_series.max()\n",
" \n",
" if abs(min_speed - max_speed) < 0.1:\n",
" zone_metrics[\"Speed\"].append(f\"{min_speed:.1f} mph\\n2% Incline\")\n",
" else:\n",
" zone_metrics[\"Speed\"].append(f\"{min_speed:.1f}-{max_speed:.1f} mph\\n2% Incline\")\n",
" \n",
" # Pace (Range)\n",
" # Higher speed = Lower pace value (faster)\n",
" # So max_speed -> min_pace_val, min_speed -> max_pace_val\n",
" \n",
" def speed_to_pace(s_mph):\n",
" if s_mph <= 0: return 0, 0\n",
" s_kmh = s_mph * 1.60934\n",
" p_min = 60 / s_kmh\n",
" p_m = int(p_min)\n",
" p_s = int((p_min % 1) * 60)\n",
" return p_m, p_s\n",
"\n",
" min_pace_m, min_pace_s = speed_to_pace(max_speed) # Fastest speed -> Lowest pace number\n",
" max_pace_m, max_pace_s = speed_to_pace(min_speed) # Slowest speed -> Highest pace number\n",
" \n",
" if min_pace_m == max_pace_m and min_pace_s == max_pace_s:\n",
" pace_str = f\"{min_pace_m}:{min_pace_s:02d} min/km Pace\"\n",
" else:\n",
" pace_str = f\"{max_pace_m}:{max_pace_s:02d}-{min_pace_m}:{min_pace_s:02d}\\nmin/km Pace\"\n",
" zone_metrics[\"Pace\"].append(pace_str)\n",
" else:\n",
" zone_metrics[\"Speed\"].append(\"-\\n2% Incline\")\n",
" zone_metrics[\"Pace\"].append(\"-\")\n",
" \n",
" # Calories (EE)\n",
" # Use raw EE(kcal/min) instead of smoothed sum of FAT+CHO\n",
" avg_cals = zone_df['EE(kcal/min)'].mean()\n",
" zone_metrics[\"Calories\"].append(f\"Avg:\\n{avg_cals:.1f} kcals/minute\")\n",
" \n",
" # Carb Utilization (g/min)\n",
" # Use raw CHO\n",
" avg_carbs_g = zone_df['CHO'].mean() / 4\n",
" zone_metrics[\"Carb Utilization\"].append(f\"Avg: {avg_carbs_g:.1f}g/min\\nCarb Utilization\")\n",
" \n",
" # Breathing (BF)\n",
" avg_breaths = zone_df['BF(bpm)_smoothed'].mean()\n",
" ideal_range = ideal_breath_ranges[i]\n",
" zone_metrics[\"Breathing\"].append(f\"Avg: {int(avg_breaths)} breaths\\n{ideal_range}\")\n",
" \n",
" else:\n",
" zone_metrics[\"Speed\"].append(\"-\\n2% Incline\")\n",
" zone_metrics[\"Pace\"].append(\"-\")\n",
" zone_metrics[\"Calories\"].append(\"-\")\n",
" zone_metrics[\"Carb Utilization\"].append(\"-\")\n",
" zone_metrics[\"Breathing\"].append(f\"-\\n{ideal_breath_ranges[i]}\")\n",
"\n",
"# Prepare data for the table\n",
"table_data = []\n",
"table_data.append(descriptions)\n",
"table_data.append(hr_percentages)\n",
"table_data.append(zone_metrics[\"HR BPM\"])\n",
"table_data.append(zone_metrics[\"Speed\"])\n",
"table_data.append(zone_metrics[\"Pace\"])\n",
"table_data.append(zone_metrics[\"Calories\"])\n",
"table_data.append(zone_metrics[\"Carb Utilization\"])\n",
"table_data.append(zone_metrics[\"Breathing\"])\n",
"\n",
"col_labels = [\"Zone 1\", \"Zone 2\", \"Zone 3\", \"Zone 4\", \"Zone 5\"]\n",
"\n",
"# Create the table plot\n",
"fig, ax = plt.subplots(figsize=(12, 8)) # Reduced width from 16 to 12\n",
"ax.axis('off')\n",
"\n",
"# Create table without rowLabels\n",
"table = ax.table(cellText=table_data,\n",
" colLabels=col_labels,\n",
" loc='center',\n",
" cellLoc='center')\n",
"\n",
"table.auto_set_font_size(False)\n",
"table.set_fontsize(10)\n",
"table.scale(1, 3.5) # Increased vertical scale for multi-line text\n",
"\n",
"# Styling\n",
"# Header row\n",
"for j, label in enumerate(col_labels):\n",
" cell = table[(0, j)]\n",
" cell.set_facecolor('#7dd3fc') # cyan-300\n",
" cell.set_text_props(weight='bold')\n",
"\n",
"# Row specific styling\n",
"colors = ['#fecaca', '#fecaca', '#fef08a', '#bbf7d0', '#bbf7d0']\n",
"\n",
"for j in range(len(col_labels)):\n",
" # HR BPM row is at index 2 (0-based in data) -> row 3 in table (0 is header, 1 is desc, 2 is HR%, 3 is HR BPM)\n",
" cell = table[(3, j)] \n",
" cell.set_facecolor(colors[j])\n",
" cell.set_text_props(weight='bold')\n",
" \n",
" # Breathing row is at index 7 -> row 8 in table\n",
" cell = table[(8, j)]\n",
" cell.set_facecolor(colors[j])\n",
" cell.set_text_props(weight='bold')\n",
"\n",
"plt.title(\"Personalized Heart Rate Zones\", fontsize=16, fontweight='bold', pad=5) # Reduced pad from 20 to 5\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "9c00c366",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Timestamp (seconds passed)</th>\n",
" <th>Lap/Event</th>\n",
" <th>Unnamed: 2</th>\n",
" <th>SmO2</th>\n",
" <th>HBDiff</th>\n",
" <th>Muscle state</th>\n",
" <th>Muscle trend</th>\n",
" <th>SmO2 unfiltered</th>\n",
" <th>O2HB unfiltered</th>\n",
" <th>HHb unfiltered</th>\n",
" <th>...</th>\n",
" <th>SmO2.1</th>\n",
" <th>HBDiff.1</th>\n",
" <th>Muscle state.1</th>\n",
" <th>Muscle trend.1</th>\n",
" <th>SmO2 unfiltered.1</th>\n",
" <th>O2HB unfiltered.1</th>\n",
" <th>HHb unfiltered.1</th>\n",
" <th>THb unfiltered.1</th>\n",
" <th>HBDiff unfiltered.1</th>\n",
" <th>Heart Rate (BPM).1</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.37</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>72.40</td>\n",
" <td>-0.26</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>72.52</td>\n",
" <td>-3.27</td>\n",
" <td>-2.29</td>\n",
" <td>...</td>\n",
" <td>87.04</td>\n",
" <td>1.57</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>86.46</td>\n",
" <td>-0.64</td>\n",
" <td>-0.74</td>\n",
" <td>-20.30</td>\n",
" <td>1.78</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.46</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>72.41</td>\n",
" <td>-0.26</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>73.06</td>\n",
" <td>-3.27</td>\n",
" <td>-2.31</td>\n",
" <td>...</td>\n",
" <td>87.04</td>\n",
" <td>1.57</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>86.66</td>\n",
" <td>-0.66</td>\n",
" <td>-0.66</td>\n",
" <td>-20.24</td>\n",
" <td>1.68</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.57</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>72.41</td>\n",
" <td>-0.26</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>72.58</td>\n",
" <td>-3.31</td>\n",
" <td>-2.25</td>\n",
" <td>...</td>\n",
" <td>87.03</td>\n",
" <td>1.57</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>86.81</td>\n",
" <td>-0.69</td>\n",
" <td>-0.67</td>\n",
" <td>-20.28</td>\n",
" <td>1.66</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.66</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>72.42</td>\n",
" <td>-0.25</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>73.18</td>\n",
" <td>-3.29</td>\n",
" <td>-2.32</td>\n",
" <td>...</td>\n",
" <td>87.03</td>\n",
" <td>1.57</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>88.42</td>\n",
" <td>-0.70</td>\n",
" <td>-0.66</td>\n",
" <td>-20.28</td>\n",
" <td>1.64</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.75</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>72.43</td>\n",
" <td>-0.25</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>72.61</td>\n",
" <td>-3.23</td>\n",
" <td>-2.36</td>\n",
" <td>...</td>\n",
" <td>87.03</td>\n",
" <td>1.58</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>88.59</td>\n",
" <td>-0.51</td>\n",
" <td>-0.71</td>\n",
" <td>-20.14</td>\n",
" <td>1.88</td>\n",
" <td>72</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 24 columns</p>\n",
"</div>"
],
"text/plain": [
" Timestamp (seconds passed) Lap/Event Unnamed: 2 SmO2 HBDiff \\\n",
"0 0.37 0 NaN 72.40 -0.26 \n",
"1 0.46 0 NaN 72.41 -0.26 \n",
"2 0.57 0 NaN 72.41 -0.26 \n",
"3 0.66 0 NaN 72.42 -0.25 \n",
"4 0.75 0 NaN 72.43 -0.25 \n",
"\n",
" Muscle state Muscle trend SmO2 unfiltered O2HB unfiltered \\\n",
"0 0 2 72.52 -3.27 \n",
"1 0 2 73.06 -3.27 \n",
"2 0 2 72.58 -3.31 \n",
"3 0 2 73.18 -3.29 \n",
"4 0 2 72.61 -3.23 \n",
"\n",
" HHb unfiltered ... SmO2.1 HBDiff.1 Muscle state.1 Muscle trend.1 \\\n",
"0 -2.29 ... 87.04 1.57 0 2 \n",
"1 -2.31 ... 87.04 1.57 0 2 \n",
"2 -2.25 ... 87.03 1.57 0 2 \n",
"3 -2.32 ... 87.03 1.57 0 2 \n",
"4 -2.36 ... 87.03 1.58 0 2 \n",
"\n",
" SmO2 unfiltered.1 O2HB unfiltered.1 HHb unfiltered.1 THb unfiltered.1 \\\n",
"0 86.46 -0.64 -0.74 -20.30 \n",
"1 86.66 -0.66 -0.66 -20.24 \n",
"2 86.81 -0.69 -0.67 -20.28 \n",
"3 88.42 -0.70 -0.66 -20.28 \n",
"4 88.59 -0.51 -0.71 -20.14 \n",
"\n",
" HBDiff unfiltered.1 Heart Rate (BPM).1 \n",
"0 1.78 72 \n",
"1 1.68 72 \n",
"2 1.66 72 \n",
"3 1.64 72 \n",
"4 1.88 72 \n",
"\n",
"[5 rows x 24 columns]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"oxygenation_2.head()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "0a624fa0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Timestamp (seconds passed)', 'Lap/Event', 'Unnamed: 2', 'SmO2',\n",
" 'HBDiff', 'Muscle state', 'Muscle trend', 'SmO2 unfiltered',\n",
" 'O2HB unfiltered', 'HHb unfiltered', 'THb unfiltered',\n",
" 'HBDiff unfiltered', 'Heart Rate (BPM)', 'Unnamed: 13', 'SmO2.1',\n",
" 'HBDiff.1', 'Muscle state.1', 'Muscle trend.1', 'SmO2 unfiltered.1',\n",
" 'O2HB unfiltered.1', 'HHb unfiltered.1', 'THb unfiltered.1',\n",
" 'HBDiff unfiltered.1', 'Heart Rate (BPM).1'],\n",
" dtype='object')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"oxygenation_2.columns"
]
},
{
"cell_type": "markdown",
"id": "803c7174",
"metadata": {},
"source": [
"# Train.Red SmO₂ Analysis\n",
"\n",
"Following the instructions from the PDF, we'll create a comprehensive muscle oxygenation plot with:\n",
"- Smoothed SmO₂ data for left and right legs\n",
"- Heart rate on secondary axis\n",
"- Stage annotations (warm-up, active laps, recovery)\n",
"- Recovery percentage calculations\n",
"- Optional breakpoint detection"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "d18e5c4a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data shape: (17020, 28)\n",
"Time range: 0.37 to 1702.26 seconds\n",
"Unique laps: [0, 1, 2, 3, 4, 5, 6, 7]\n",
"\n",
"First few rows:\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Timestamp (seconds passed)</th>\n",
" <th>Lap</th>\n",
" <th>Left_SmO2</th>\n",
" <th>Right_SmO2</th>\n",
" <th>Heart_Rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.37</td>\n",
" <td>0</td>\n",
" <td>72.40</td>\n",
" <td>87.04</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.46</td>\n",
" <td>0</td>\n",
" <td>72.41</td>\n",
" <td>87.04</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.57</td>\n",
" <td>0</td>\n",
" <td>72.41</td>\n",
" <td>87.03</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.66</td>\n",
" <td>0</td>\n",
" <td>72.42</td>\n",
" <td>87.03</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.75</td>\n",
" <td>0</td>\n",
" <td>72.43</td>\n",
" <td>87.03</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>0.86</td>\n",
" <td>0</td>\n",
" <td>72.44</td>\n",
" <td>87.04</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>0.95</td>\n",
" <td>0</td>\n",
" <td>72.45</td>\n",
" <td>87.05</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>1.09</td>\n",
" <td>0</td>\n",
" <td>72.47</td>\n",
" <td>87.05</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>1.15</td>\n",
" <td>0</td>\n",
" <td>72.48</td>\n",
" <td>87.06</td>\n",
" <td>72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>1.27</td>\n",
" <td>0</td>\n",
" <td>72.49</td>\n",
" <td>87.07</td>\n",
" <td>72</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Timestamp (seconds passed) Lap Left_SmO2 Right_SmO2 Heart_Rate\n",
"0 0.37 0 72.40 87.04 72\n",
"1 0.46 0 72.41 87.04 72\n",
"2 0.57 0 72.41 87.03 72\n",
"3 0.66 0 72.42 87.03 72\n",
"4 0.75 0 72.43 87.03 72\n",
"5 0.86 0 72.44 87.04 72\n",
"6 0.95 0 72.45 87.05 72\n",
"7 1.09 0 72.47 87.05 72\n",
"8 1.15 0 72.48 87.06 72\n",
"9 1.27 0 72.49 87.07 72"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Step 1: Data Preparation\n",
"# Clean and prepare the oxygenation_2 dataframe\n",
"\n",
"# Rename columns for clarity\n",
"df_oxy = oxygenation_2.copy()\n",
"\n",
"# Convert timestamp to numeric\n",
"df_oxy['Timestamp (seconds passed)'] = pd.to_numeric(df_oxy['Timestamp (seconds passed)'], errors='coerce')\n",
"\n",
"# Convert SmO2 columns to numeric\n",
"df_oxy['Left_SmO2'] = pd.to_numeric(df_oxy['SmO2'], errors='coerce')\n",
"df_oxy['Right_SmO2'] = pd.to_numeric(df_oxy['SmO2.1'], errors='coerce')\n",
"df_oxy['Heart_Rate'] = pd.to_numeric(df_oxy['Heart Rate (BPM)'], errors='coerce')\n",
"df_oxy['Lap'] = pd.to_numeric(df_oxy['Lap/Event'], errors='coerce')\n",
"\n",
"# Drop rows with missing timestamps\n",
"df_oxy = df_oxy.dropna(subset=['Timestamp (seconds passed)'])\n",
"\n",
"# Sort by timestamp\n",
"df_oxy = df_oxy.sort_values('Timestamp (seconds passed)').reset_index(drop=True)\n",
"\n",
"print(f\"Data shape: {df_oxy.shape}\")\n",
"print(f\"Time range: {df_oxy['Timestamp (seconds passed)'].min():.2f} to {df_oxy['Timestamp (seconds passed)'].max():.2f} seconds\")\n",
"print(f\"Unique laps: {sorted(df_oxy['Lap'].dropna().unique())}\")\n",
"print(f\"\\nFirst few rows:\")\n",
"df_oxy[['Timestamp (seconds passed)', 'Lap', 'Left_SmO2', 'Right_SmO2', 'Heart_Rate']].head(10)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "a6f97a9b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Average sampling interval: 0.090 seconds\n",
"Estimated sampling frequency: 11.11 Hz\n",
"Smoothing window: 111 samples (~10 seconds)\n",
"\n",
"Smoothing complete!\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Timestamp (seconds passed)</th>\n",
" <th>Left_SmO2</th>\n",
" <th>Left_SmO2_smooth</th>\n",
" <th>Right_SmO2</th>\n",
" <th>Right_SmO2_smooth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.37</td>\n",
" <td>72.40</td>\n",
" <td>72.594643</td>\n",
" <td>87.04</td>\n",
" <td>87.107500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.46</td>\n",
" <td>72.41</td>\n",
" <td>72.594386</td>\n",
" <td>87.04</td>\n",
" <td>87.105614</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.57</td>\n",
" <td>72.41</td>\n",
" <td>72.594138</td>\n",
" <td>87.03</td>\n",
" <td>87.103793</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.66</td>\n",
" <td>72.42</td>\n",
" <td>72.593898</td>\n",
" <td>87.03</td>\n",
" <td>87.101864</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.75</td>\n",
" <td>72.43</td>\n",
" <td>72.593667</td>\n",
" <td>87.03</td>\n",
" <td>87.099833</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Timestamp (seconds passed) Left_SmO2 Left_SmO2_smooth Right_SmO2 \\\n",
"0 0.37 72.40 72.594643 87.04 \n",
"1 0.46 72.41 72.594386 87.04 \n",
"2 0.57 72.41 72.594138 87.03 \n",
"3 0.66 72.42 72.593898 87.03 \n",
"4 0.75 72.43 72.593667 87.03 \n",
"\n",
" Right_SmO2_smooth \n",
"0 87.107500 \n",
"1 87.105614 \n",
"2 87.103793 \n",
"3 87.101864 \n",
"4 87.099833 "
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Step 2: Apply 10-second rolling mean smoothing\n",
"# Following PDF instructions: centered 10 second rolling mean\n",
"\n",
"# Estimate sampling frequency\n",
"time_diffs = df_oxy['Timestamp (seconds passed)'].diff().dropna()\n",
"avg_sampling_interval = time_diffs.median()\n",
"sampling_freq = 1 / avg_sampling_interval if avg_sampling_interval > 0 else 10\n",
"window_samples = int(10 * sampling_freq) # 10 seconds worth of samples\n",
"\n",
"print(f\"Average sampling interval: {avg_sampling_interval:.3f} seconds\")\n",
"print(f\"Estimated sampling frequency: {sampling_freq:.2f} Hz\")\n",
"print(f\"Smoothing window: {window_samples} samples (~10 seconds)\")\n",
"\n",
"# Apply centered rolling mean\n",
"df_oxy['Left_SmO2_smooth'] = df_oxy['Left_SmO2'].rolling(window=window_samples, center=True, min_periods=1).mean()\n",
"df_oxy['Right_SmO2_smooth'] = df_oxy['Right_SmO2'].rolling(window=window_samples, center=True, min_periods=1).mean()\n",
"df_oxy['Heart_Rate_smooth'] = df_oxy['Heart_Rate'].rolling(window=window_samples, center=True, min_periods=1).mean()\n",
"\n",
"print(\"\\nSmoothing complete!\")\n",
"df_oxy[['Timestamp (seconds passed)', 'Left_SmO2', 'Left_SmO2_smooth', 'Right_SmO2', 'Right_SmO2_smooth']].head()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "e6943523",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Lap start times:\n",
" Lap 0: 0.37 seconds (0.01 minutes)\n",
" Lap 1: 256.54 seconds (4.28 minutes)\n",
" Lap 2: 495.34 seconds (8.26 minutes)\n",
" Lap 3: 735.03 seconds (12.25 minutes)\n",
" Lap 4: 976.45 seconds (16.27 minutes)\n",
" Lap 5: 1215.00 seconds (20.25 minutes)\n",
" Lap 6: 1454.76 seconds (24.25 minutes)\n",
" Lap 7: 1543.36 seconds (25.72 minutes)\n",
"\n",
"Stage breakdown:\n",
" Warm-up: 0 - 256.54 seconds\n",
" Active test: 256.54 - 1543.36 seconds\n",
" Recovery: 1543.36 - 1702.26 seconds\n"
]
}
],
"source": [
"# Step 3: Identify test stages based on laps\n",
"# Find when each lap starts\n",
"\n",
"lap_changes = df_oxy[df_oxy['Lap'].diff() != 0].copy()\n",
"lap_starts = {}\n",
"\n",
"for idx, row in lap_changes.iterrows():\n",
" lap_num = int(row['Lap'])\n",
" lap_starts[lap_num] = row['Timestamp (seconds passed)']\n",
"\n",
"print(\"Lap start times:\")\n",
"for lap, time in sorted(lap_starts.items()):\n",
" print(f\" Lap {lap}: {time:.2f} seconds ({time/60:.2f} minutes)\")\n",
"\n",
"# Identify stages\n",
"# Assuming: Lap 0 = warm-up, Laps 1-6 = active test, Lap 7 = recovery\n",
"warm_up_end = lap_starts.get(1, df_oxy['Timestamp (seconds passed)'].max())\n",
"recovery_start = lap_starts.get(7, df_oxy['Timestamp (seconds passed)'].max())\n",
"\n",
"print(f\"\\nStage breakdown:\")\n",
"print(f\" Warm-up: 0 - {warm_up_end:.2f} seconds\")\n",
"print(f\" Active test: {warm_up_end:.2f} - {recovery_start:.2f} seconds\")\n",
"print(f\" Recovery: {recovery_start:.2f} - {df_oxy['Timestamp (seconds passed)'].max():.2f} seconds\")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "f4d26f1b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Recovery Percentages:\n",
" Left Leg:\n",
" Warm-up avg: 75.37%\n",
" Recovery avg: 82.47%\n",
" Recovery: 109% of warm-up\n",
"\n",
" Right Leg:\n",
" Warm-up avg: 82.91%\n",
" Recovery avg: 80.03%\n",
" Recovery: 97% of warm-up\n"
]
}
],
"source": [
"# Step 4: Calculate recovery percentages\n",
"# Average SmO2 over last 30 seconds of warm-up and recovery\n",
"\n",
"# Last 30 seconds of warm-up\n",
"warm_up_last_30_start = warm_up_end - 30\n",
"warm_up_mask = (df_oxy['Timestamp (seconds passed)'] >= warm_up_last_30_start) & \\\n",
" (df_oxy['Timestamp (seconds passed)'] <= warm_up_end)\n",
"\n",
"# Last 30 seconds of recovery\n",
"recovery_end = df_oxy['Timestamp (seconds passed)'].max()\n",
"recovery_last_30_start = recovery_end - 30\n",
"recovery_mask = (df_oxy['Timestamp (seconds passed)'] >= recovery_last_30_start) & \\\n",
" (df_oxy['Timestamp (seconds passed)'] <= recovery_end)\n",
"\n",
"# Calculate averages\n",
"left_warmup_avg = df_oxy.loc[warm_up_mask, 'Left_SmO2_smooth'].mean()\n",
"left_recovery_avg = df_oxy.loc[recovery_mask, 'Left_SmO2_smooth'].mean()\n",
"left_recovery_pct = round((left_recovery_avg / left_warmup_avg) * 100)\n",
"\n",
"right_warmup_avg = df_oxy.loc[warm_up_mask, 'Right_SmO2_smooth'].mean()\n",
"right_recovery_avg = df_oxy.loc[recovery_mask, 'Right_SmO2_smooth'].mean()\n",
"right_recovery_pct = round((right_recovery_avg / right_warmup_avg) * 100)\n",
"\n",
"print(\"Recovery Percentages:\")\n",
"print(f\" Left Leg:\")\n",
"print(f\" Warm-up avg: {left_warmup_avg:.2f}%\")\n",
"print(f\" Recovery avg: {left_recovery_avg:.2f}%\")\n",
"print(f\" Recovery: {left_recovery_pct}% of warm-up\")\n",
"print(f\"\\n Right Leg:\")\n",
"print(f\" Warm-up avg: {right_warmup_avg:.2f}%\")\n",
"print(f\" Recovery avg: {right_recovery_avg:.2f}%\")\n",
"print(f\" Recovery: {right_recovery_pct}% of warm-up\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "bf54eda5",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 1800x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"✓ Plot created successfully!\n"
]
}
],
"source": [
"# Step 5: Create comprehensive SmO₂ plot following PDF instructions\n",
"\n",
"fig, ax1 = plt.subplots(figsize=(18, 8))\n",
"\n",
"# Plot SmO₂ data on primary axis\n",
"time = df_oxy['Timestamp (seconds passed)']\n",
"ax1.plot(time, df_oxy['Left_SmO2_smooth'], \n",
" label=f'Left SmO₂ (Rec {left_recovery_pct}% of warm-up)', \n",
" color='#2E86AB', linewidth=2)\n",
"ax1.plot(time, df_oxy['Right_SmO2_smooth'], \n",
" label=f'Right SmO₂ (Rec {right_recovery_pct}% of warm-up)', \n",
" color='#A23B72', linewidth=2)\n",
"\n",
"ax1.set_xlabel('Time (seconds)', fontsize=12, fontweight='bold')\n",
"ax1.set_ylabel('SmO₂ (%)', fontsize=12, fontweight='bold')\n",
"ax1.tick_params(axis='y', labelcolor='black')\n",
"ax1.grid(True, alpha=0.3, linestyle='--')\n",
"\n",
"# Add secondary axis for heart rate\n",
"ax2 = ax1.twinx()\n",
"ax2.plot(time, df_oxy['Heart_Rate_smooth'], \n",
" label='Heart Rate', \n",
" color='red', linewidth=1.5, linestyle='--', alpha=0.7)\n",
"ax2.set_ylabel('Heart Rate (BPM)', fontsize=12, fontweight='bold', color='red')\n",
"ax2.tick_params(axis='y', labelcolor='red')\n",
"\n",
"# Add shaded regions for stages\n",
"# Warm-up (light shade)\n",
"ax1.axvspan(0, warm_up_end, alpha=0.15, color='blue', label='Warm-up')\n",
"\n",
"# Active test laps (alternating shades)\n",
"active_laps = [1, 2, 3, 4, 5, 6]\n",
"colors_active = ['yellow', 'orange'] * 3\n",
"for i, lap in enumerate(active_laps):\n",
" start = lap_starts.get(lap, 0)\n",
" end = lap_starts.get(lap + 1, recovery_start) if lap < 6 else recovery_start\n",
" ax1.axvspan(start, end, alpha=0.1, color=colors_active[i])\n",
"\n",
"# Recovery (gray shade)\n",
"ax1.axvspan(recovery_start, df_oxy['Timestamp (seconds passed)'].max(), \n",
" alpha=0.2, color='gray', label='Recovery')\n",
"\n",
"# Add vertical line at recovery start\n",
"ax1.axvline(x=recovery_start, color='black', linestyle='-', linewidth=2, alpha=0.7)\n",
"\n",
"# Add lap labels\n",
"for lap in range(1, 7):\n",
" start = lap_starts.get(lap, 0)\n",
" end = lap_starts.get(lap + 1, recovery_start) if lap < 6 else recovery_start\n",
" mid = (start + end) / 2\n",
" ax1.text(mid, ax1.get_ylim()[1] * 0.97, f'Lap {lap}', \n",
" ha='center', va='top', fontsize=10, fontweight='bold', \n",
" bbox=dict(boxstyle='round,pad=0.3', facecolor='white', alpha=0.7))\n",
"\n",
"# Title and legends\n",
"plt.title('Train.Red SmO₂ Ramp - Muscle Oxygenation Analysis', \n",
" fontsize=16, fontweight='bold', pad=20)\n",
"\n",
"# Combine legends from both axes\n",
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left', fontsize=10, framealpha=0.9)\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(f'{base_dir}/graphs/muscle_oxygenation_plot.png', dpi=300, bbox_inches='tight')\n",
"plt.show()\n",
"\n",
"print(\"✓ Plot created successfully!\")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "128c9f3e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"======================================================================\n",
"MUSCLE OXYGENATION ANALYSIS - KEY VALUES\n",
"======================================================================\n",
"\n",
"1. BASELINE (Warm-up averages):\n",
" Left SmO₂: 75.37%\n",
" Right SmO₂: 82.91%\n",
"\n",
"2. RECOVERY (Last 30 seconds):\n",
" Left SmO₂: 82.47% (109% of baseline)\n",
" Right SmO₂: 80.03% (97% of baseline)\n",
"\n",
"3. MINIMUM VALUES (During active test):\n",
" Left SmO₂: 69.34% at 1536.6s (Lap 6)\n",
" Right SmO₂: 73.65% at 1535.5s (Lap 6)\n",
"\n",
"4. MAXIMUM VALUES (During active test):\n",
" Left SmO₂: 78.24% at 915.2s (Lap 3)\n",
" Right SmO₂: 82.59% at 256.5s (Lap 1)\n",
"\n",
"5. OXYGENATION DROP (Baseline to Minimum):\n",
" Left SmO₂: 6.03% drop (8.0% decrease)\n",
" Right SmO₂: 9.26% drop (11.2% decrease)\n",
"\n",
"6. AVERAGE SmO₂ PER LAP:\n",
" Lap 1: Left=75.42%, Right=81.27%, HR=107.3 bpm\n",
" Lap 2: Left=76.51%, Right=81.76%, HR=118.8 bpm\n",
" Lap 3: Left=77.35%, Right=81.28%, HR=131.2 bpm\n",
" Lap 4: Left=76.98%, Right=79.66%, HR=145.2 bpm\n",
" Lap 5: Left=74.28%, Right=77.96%, HR=157.7 bpm\n",
" Lap 6: Left=71.27%, Right=75.98%, HR=165.0 bpm\n",
"\n",
"7. HEART RATE:\n",
" Warm-up avg: 93.2 bpm\n",
" Max during test: 168.2 bpm\n",
" Recovery avg: 107.7 bpm\n",
"\n",
"======================================================================\n"
]
}
],
"source": [
"# Step 6: Extract key values and metrics from the test\n",
"\n",
"print(\"=\"*70)\n",
"print(\"MUSCLE OXYGENATION ANALYSIS - KEY VALUES\")\n",
"print(\"=\"*70)\n",
"\n",
"# 1. Baseline values (warm-up averages)\n",
"print(\"\\n1. BASELINE (Warm-up averages):\")\n",
"print(f\" Left SmO₂: {left_warmup_avg:.2f}%\")\n",
"print(f\" Right SmO₂: {right_warmup_avg:.2f}%\")\n",
"\n",
"# 2. Recovery values\n",
"print(\"\\n2. RECOVERY (Last 30 seconds):\")\n",
"print(f\" Left SmO₂: {left_recovery_avg:.2f}% ({left_recovery_pct}% of baseline)\")\n",
"print(f\" Right SmO₂: {right_recovery_avg:.2f}% ({right_recovery_pct}% of baseline)\")\n",
"\n",
"# 3. Minimum values during active test\n",
"active_mask = (df_oxy['Timestamp (seconds passed)'] >= warm_up_end) & \\\n",
" (df_oxy['Timestamp (seconds passed)'] <= recovery_start)\n",
"active_data = df_oxy[active_mask]\n",
"\n",
"left_min = active_data['Left_SmO2_smooth'].min()\n",
"left_min_time = active_data.loc[active_data['Left_SmO2_smooth'].idxmin(), 'Timestamp (seconds passed)']\n",
"left_min_lap = active_data.loc[active_data['Left_SmO2_smooth'].idxmin(), 'Lap']\n",
"\n",
"right_min = active_data['Right_SmO2_smooth'].min()\n",
"right_min_time = active_data.loc[active_data['Right_SmO2_smooth'].idxmin(), 'Timestamp (seconds passed)']\n",
"right_min_lap = active_data.loc[active_data['Right_SmO2_smooth'].idxmin(), 'Lap']\n",
"\n",
"print(\"\\n3. MINIMUM VALUES (During active test):\")\n",
"print(f\" Left SmO₂: {left_min:.2f}% at {left_min_time:.1f}s (Lap {int(left_min_lap)})\")\n",
"print(f\" Right SmO₂: {right_min:.2f}% at {right_min_time:.1f}s (Lap {int(right_min_lap)})\")\n",
"\n",
"# 4. Maximum values during active test\n",
"left_max = active_data['Left_SmO2_smooth'].max()\n",
"left_max_time = active_data.loc[active_data['Left_SmO2_smooth'].idxmax(), 'Timestamp (seconds passed)']\n",
"left_max_lap = active_data.loc[active_data['Left_SmO2_smooth'].idxmax(), 'Lap']\n",
"\n",
"right_max = active_data['Right_SmO2_smooth'].max()\n",
"right_max_time = active_data.loc[active_data['Right_SmO2_smooth'].idxmax(), 'Timestamp (seconds passed)']\n",
"right_max_lap = active_data.loc[active_data['Right_SmO2_smooth'].idxmax(), 'Lap']\n",
"\n",
"print(\"\\n4. MAXIMUM VALUES (During active test):\")\n",
"print(f\" Left SmO₂: {left_max:.2f}% at {left_max_time:.1f}s (Lap {int(left_max_lap)})\")\n",
"print(f\" Right SmO₂: {right_max:.2f}% at {right_max_time:.1f}s (Lap {int(right_max_lap)})\")\n",
"\n",
"# 5. Range/Drop during test\n",
"left_drop = left_warmup_avg - left_min\n",
"right_drop = right_warmup_avg - right_min\n",
"\n",
"print(\"\\n5. OXYGENATION DROP (Baseline to Minimum):\")\n",
"print(f\" Left SmO₂: {left_drop:.2f}% drop ({left_drop/left_warmup_avg*100:.1f}% decrease)\")\n",
"print(f\" Right SmO₂: {right_drop:.2f}% drop ({right_drop/right_warmup_avg*100:.1f}% decrease)\")\n",
"\n",
"# 6. Average values per lap\n",
"print(\"\\n6. AVERAGE SmO₂ PER LAP:\")\n",
"for lap in range(1, 7):\n",
" lap_mask = df_oxy['Lap'] == lap\n",
" lap_data = df_oxy[lap_mask]\n",
" if len(lap_data) > 0:\n",
" left_avg = lap_data['Left_SmO2_smooth'].mean()\n",
" right_avg = lap_data['Right_SmO2_smooth'].mean()\n",
" hr_avg = lap_data['Heart_Rate_smooth'].mean()\n",
" print(f\" Lap {lap}: Left={left_avg:.2f}%, Right={right_avg:.2f}%, HR={hr_avg:.1f} bpm\")\n",
"\n",
"# 7. Heart rate data\n",
"print(\"\\n7. HEART RATE:\")\n",
"hr_warmup = df_oxy[df_oxy['Timestamp (seconds passed)'] <= warm_up_end]['Heart_Rate_smooth'].mean()\n",
"hr_max = active_data['Heart_Rate_smooth'].max()\n",
"hr_recovery = df_oxy[recovery_mask]['Heart_Rate_smooth'].mean()\n",
"print(f\" Warm-up avg: {hr_warmup:.1f} bpm\")\n",
"print(f\" Max during test: {hr_max:.1f} bpm\")\n",
"print(f\" Recovery avg: {hr_recovery:.1f} bpm\")\n",
"\n",
"print(\"\\n\" + \"=\"*70)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "e80da1c3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"======================================================================\n",
"ANALYSIS SUMMARY & INTERPRETATION\n",
"======================================================================\n",
"\n",
"📊 WHAT THE DATA SHOWS:\n",
"\n",
"1. MUSCLE OXYGEN PATTERNS:\n",
" • Both legs started with good oxygen levels (Left: 75.4%, Right: 82.9%)\n",
" • The right leg showed higher baseline oxygenation\n",
" • During the test, oxygen levels dropped as intensity increased\n",
" • Left leg dropped 6.0% and right leg dropped 9.3%\n",
"\n",
"2. LEG COMPARISON:\n",
" • Left leg maintained oxygen better (only 6.0% drop vs 9.3%)\n",
" • Right leg experienced more oxygen desaturation\n",
"\n",
"3. RECOVERY PERFORMANCE:\n",
" ✓ Excellent left leg recovery (109% - exceeded baseline!)\n",
" • Right leg recovered to 97% of baseline\n",
" ✓ Overall excellent recovery capacity\n",
"\n",
"4. INTENSITY PROGRESSION:\n",
" Heart rate increased steadily through the test:\n",
" Lap 1: 107 bpm\n",
" Lap 2: 119 bpm\n",
" Lap 3: 131 bpm\n",
" Lap 4: 145 bpm\n",
" Lap 5: 158 bpm\n",
" Lap 6: 165 bpm\n",
"\n",
"💡 TRAINING INSIGHTS:\n",
"\n",
"1. Oxygen Utilization:\n",
" ✓ Good oxygen extraction efficiency\n",
" → Muscles are effectively using available oxygen\n",
"\n",
"2. Endurance Capacity:\n",
" ✓ Maintained good oxygen levels through high intensity\n",
" → Strong aerobic capacity\n",
"\n",
"3. Recovery Ability:\n",
" Recovery period: 159 seconds (2.6 minutes)\n",
" ✓ Fast recovery - good cardiovascular fitness\n",
" → Can handle high-intensity training\n",
"\n",
"🎯 RECOMMENDATIONS:\n",
"\n",
"• Monitor the leg with larger oxygen drop for potential weakness\n",
"• Use these SmO₂ patterns to optimize training intensity zones\n",
"• Recovery percentages indicate readiness for next training session\n",
"• Consider interval training at intensities where oxygen starts to drop\n",
"\n",
"======================================================================\n"
]
}
],
"source": [
"# Step 7: Analysis Summary and Interpretation\n",
"\n",
"print(\"=\"*70)\n",
"print(\"ANALYSIS SUMMARY & INTERPRETATION\")\n",
"print(\"=\"*70)\n",
"\n",
"print(\"\\n📊 WHAT THE DATA SHOWS:\")\n",
"print(\"\\n1. MUSCLE OXYGEN PATTERNS:\")\n",
"print(f\" • Both legs started with good oxygen levels (Left: {left_warmup_avg:.1f}%, Right: {right_warmup_avg:.1f}%)\")\n",
"print(f\" • The right leg showed higher baseline oxygenation\")\n",
"print(f\" • During the test, oxygen levels dropped as intensity increased\")\n",
"print(f\" • Left leg dropped {left_drop:.1f}% and right leg dropped {right_drop:.1f}%\")\n",
"\n",
"print(\"\\n2. LEG COMPARISON:\")\n",
"if abs(left_drop - right_drop) > 2:\n",
" if left_drop < right_drop:\n",
" print(f\" • Left leg maintained oxygen better (only {left_drop:.1f}% drop vs {right_drop:.1f}%)\")\n",
" print(f\" • Right leg experienced more oxygen desaturation\")\n",
" else:\n",
" print(f\" • Right leg maintained oxygen better (only {right_drop:.1f}% drop vs {left_drop:.1f}%)\")\n",
" print(f\" • Left leg experienced more oxygen desaturation\")\n",
"else:\n",
" print(f\" • Both legs showed similar oxygen patterns (balanced)\")\n",
"\n",
"print(\"\\n3. RECOVERY PERFORMANCE:\")\n",
"if left_recovery_pct > 100:\n",
" print(f\" ✓ Excellent left leg recovery ({left_recovery_pct}% - exceeded baseline!)\")\n",
"else:\n",
" print(f\" • Left leg recovered to {left_recovery_pct}% of baseline\")\n",
"\n",
"if right_recovery_pct > 100:\n",
" print(f\" ✓ Excellent right leg recovery ({right_recovery_pct}% - exceeded baseline!)\")\n",
"else:\n",
" print(f\" • Right leg recovered to {right_recovery_pct}% of baseline\")\n",
"\n",
"avg_recovery = (left_recovery_pct + right_recovery_pct) / 2\n",
"if avg_recovery >= 100:\n",
" print(f\" ✓ Overall excellent recovery capacity\")\n",
"elif avg_recovery >= 95:\n",
" print(f\" ✓ Good recovery capacity\")\n",
"else:\n",
" print(f\" ⚠ Recovery may need attention (avg {avg_recovery:.0f}%)\")\n",
"\n",
"print(\"\\n4. INTENSITY PROGRESSION:\")\n",
"print(\" Heart rate increased steadily through the test:\")\n",
"for lap in range(1, 7):\n",
" lap_mask = df_oxy['Lap'] == lap\n",
" lap_hr = df_oxy[lap_mask]['Heart_Rate_smooth'].mean()\n",
" print(f\" Lap {lap}: {lap_hr:.0f} bpm\")\n",
"\n",
"print(\"\\n💡 TRAINING INSIGHTS:\")\n",
"print(\"\\n1. Oxygen Utilization:\")\n",
"if left_drop < 10 and right_drop < 10:\n",
" print(\" ✓ Good oxygen extraction efficiency\")\n",
" print(\" → Muscles are effectively using available oxygen\")\n",
"else:\n",
" print(\" ⚠ Significant oxygen desaturation observed\")\n",
" print(\" → May indicate approaching oxygen delivery limits\")\n",
"\n",
"print(\"\\n2. Endurance Capacity:\")\n",
"# Check if oxygen drops significantly in later laps\n",
"lap5_left = df_oxy[df_oxy['Lap'] == 5]['Left_SmO2_smooth'].mean()\n",
"lap5_right = df_oxy[df_oxy['Lap'] == 5]['Right_SmO2_smooth'].mean()\n",
"if (lap5_left > left_warmup_avg - 5) or (lap5_right > right_warmup_avg - 5):\n",
" print(\" ✓ Maintained good oxygen levels through high intensity\")\n",
" print(\" → Strong aerobic capacity\")\n",
"else:\n",
" print(\" • Oxygen levels decreased progressively with intensity\")\n",
" print(\" → Normal response to increasing workload\")\n",
"\n",
"print(\"\\n3. Recovery Ability:\")\n",
"recovery_time_sec = df_oxy['Timestamp (seconds passed)'].max() - recovery_start\n",
"print(f\" Recovery period: {recovery_time_sec:.0f} seconds ({recovery_time_sec/60:.1f} minutes)\")\n",
"if avg_recovery > 95:\n",
" print(\" ✓ Fast recovery - good cardiovascular fitness\")\n",
" print(\" → Can handle high-intensity training\")\n",
"else:\n",
" print(\" • Moderate recovery observed\")\n",
" print(\" → Consider extending rest periods between hard efforts\")\n",
"\n",
"print(\"\\n🎯 RECOMMENDATIONS:\")\n",
"print(\"\\n• Monitor the leg with larger oxygen drop for potential weakness\")\n",
"print(\"• Use these SmO₂ patterns to optimize training intensity zones\")\n",
"print(\"• Recovery percentages indicate readiness for next training session\")\n",
"print(\"• Consider interval training at intensities where oxygen starts to drop\")\n",
"\n",
"print(\"\\n\" + \"=\"*70)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "fbeb6168",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✓ Summary data exported to: /home/oluwasanmi/Documents/Work/MKD/report_generation/notebooks/oxygenation_2_output.csv\n",
"\n",
"Summary Table:\n",
" Metric Value\n",
" Left Baseline SmO2 (%) 75.37\n",
" Right Baseline SmO2 (%) 82.91\n",
" Left Minimum SmO2 (%) 69.34\n",
" Right Minimum SmO2 (%) 73.65\n",
" Left Maximum SmO2 (%) 78.24\n",
" Right Maximum SmO2 (%) 82.59\n",
" Left Recovery SmO2 (%) 82.47\n",
" Right Recovery SmO2 (%) 80.03\n",
" Left Recovery Percentage (%) 109\n",
"Right Recovery Percentage (%) 97\n",
" Left Oxygen Drop (%) 6.03\n",
" Right Oxygen Drop (%) 9.26\n",
" Warmup HR (bpm) 93.2\n",
" Maximum HR (bpm) 168.2\n",
" Recovery HR (bpm) 107.7\n",
" Test Duration (seconds) 1287\n",
" Recovery Duration (seconds) 159\n"
]
}
],
"source": [
"# Step 8: Export summary data to CSV for reporting\n",
"\n",
"# Create summary dataframe\n",
"summary_data = {\n",
" 'Metric': [\n",
" 'Left Baseline SmO2 (%)',\n",
" 'Right Baseline SmO2 (%)',\n",
" 'Left Minimum SmO2 (%)',\n",
" 'Right Minimum SmO2 (%)',\n",
" 'Left Maximum SmO2 (%)',\n",
" 'Right Maximum SmO2 (%)',\n",
" 'Left Recovery SmO2 (%)',\n",
" 'Right Recovery SmO2 (%)',\n",
" 'Left Recovery Percentage (%)',\n",
" 'Right Recovery Percentage (%)',\n",
" 'Left Oxygen Drop (%)',\n",
" 'Right Oxygen Drop (%)',\n",
" 'Warmup HR (bpm)',\n",
" 'Maximum HR (bpm)',\n",
" 'Recovery HR (bpm)',\n",
" 'Test Duration (seconds)',\n",
" 'Recovery Duration (seconds)',\n",
" ],\n",
" 'Value': [\n",
" f\"{left_warmup_avg:.2f}\",\n",
" f\"{right_warmup_avg:.2f}\",\n",
" f\"{left_min:.2f}\",\n",
" f\"{right_min:.2f}\",\n",
" f\"{left_max:.2f}\",\n",
" f\"{right_max:.2f}\",\n",
" f\"{left_recovery_avg:.2f}\",\n",
" f\"{right_recovery_avg:.2f}\",\n",
" f\"{left_recovery_pct}\",\n",
" f\"{right_recovery_pct}\",\n",
" f\"{left_drop:.2f}\",\n",
" f\"{right_drop:.2f}\",\n",
" f\"{hr_warmup:.1f}\",\n",
" f\"{hr_max:.1f}\",\n",
" f\"{hr_recovery:.1f}\",\n",
" f\"{recovery_start - warm_up_end:.0f}\",\n",
" f\"{df_oxy['Timestamp (seconds passed)'].max() - recovery_start:.0f}\",\n",
" ]\n",
"}\n",
"\n",
"summary_df = pd.DataFrame(summary_data)\n",
"\n",
"# Save to CSV\n",
"output_path = f'{base_dir}/notebooks/oxygenation_2_output.csv'\n",
"summary_df.to_csv(output_path, index=False)\n",
"\n",
"print(\"✓ Summary data exported to:\", output_path)\n",
"print(\"\\nSummary Table:\")\n",
"print(summary_df.to_string(index=False))"
]
},
{
"cell_type": "markdown",
"id": "f383e0a8",
"metadata": {},
"source": [
"## ✅ Analysis Complete!\n",
"\n",
"**Outputs Generated:**\n",
"1. **Graph**: `graphs/muscle_oxygenation_plot.png` - Comprehensive SmO₂ visualization with:\n",
" - Left and right leg muscle oxygenation (smoothed)\n",
" - Heart rate on secondary axis\n",
" - Stage shading (warm-up, active laps, recovery)\n",
" - Recovery percentages in legend\n",
" \n",
"2. **Data**: `notebooks/oxygenation_2_output.csv` - All key metrics exported\n",
"\n",
"**Key Findings:**\n",
"- Left leg showed better oxygen maintenance (6% drop vs 9.3% for right)\n",
"- Excellent recovery capacity (109% left, 97% right)\n",
"- Strong aerobic capacity maintained through high intensity\n",
"- Heart rate progressed steadily from 107 to 165 bpm\n",
"\n",
"The analysis follows the PDF instructions for Train.Red SmO₂ ramp testing, including 10-second smoothing, stage identification, and recovery percentage calculations."
]
},
{
"cell_type": "markdown",
"id": "d8dfb3fa",
"metadata": {},
"source": [
"## Integration with Report Generator\n",
"\n",
"The muscle oxygenation graph generation has been integrated into the report generation system:\n",
"\n",
"1. **GraphGenerator** method: `generate_muscle_oxygenation_chart(oxygenation_df, save_as_base64=True)`\n",
" - Returns: tuple of (base64_chart_string, metrics_dict)\n",
" \n",
"2. **ContextGenerator** now accepts `oxygenation_path` parameter in `load_data()`\n",
"\n",
"3. **Page 12** automatically includes:\n",
" - Full muscle oxygenation chart showing both legs\n",
" - Key metrics for both legs (baseline, minimum, drop, recovery)\n",
" - Heart rate data\n",
" - Summary findings\n",
"\n",
"The system will automatically generate the chart when an oxygenation CSV file is provided during report generation."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "a9064ffe",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Graph generation successful!\n",
"\n",
"Chart size: 871248 characters (base64)\n",
"\n",
"Metrics extracted:\n",
" left_baseline_smo2: 75.4%\n",
" right_baseline_smo2: 82.9%\n",
" left_minimum_smo2: 69.3%\n",
" right_minimum_smo2: 73.7%\n",
" left_minimum_lap: Lap 6\n",
" right_minimum_lap: Lap 6\n",
" left_oxygen_drop: 6.0%\n",
" right_oxygen_drop: 9.3%\n",
" left_drop_percentage: 8% decrease\n",
" right_drop_percentage: 11% decrease\n",
" left_recovery_percentage: 109%\n",
" right_recovery_percentage: 97%\n",
" hr_warmup: 93\n",
" hr_max: 168\n",
" test_duration: ~21 minutes active test\n",
" recovery_assessment: Excellent recovery capacity\n"
]
}
],
"source": [
"# Test the GraphGenerator integration\n",
"import sys\n",
"import os\n",
"import pandas as pd\n",
"\n",
"# Set base_dir if not already defined\n",
"try:\n",
" base_dir\n",
"except NameError:\n",
" base_dir = os.path.dirname(os.path.abspath('.'))\n",
"\n",
"# Load oxygenation data if not already loaded\n",
"try:\n",
" oxygenation_2\n",
"except NameError:\n",
" print(\"Loading oxygenation data...\")\n",
" oxygenation_2 = pd.read_csv(f'{base_dir}/data/muscle_oxygenation.csv', skiprows=445)\n",
"\n",
"sys.path.append(f'{base_dir}/app')\n",
"\n",
"from services.graph_generator import GraphGenerator\n",
"\n",
"# Initialize the graph generator\n",
"graph_gen = GraphGenerator(charts_dir=f'{base_dir}/graphs')\n",
"\n",
"# Generate the chart using the same dataframe\n",
"try:\n",
" chart_b64, metrics = graph_gen.generate_muscle_oxygenation_chart(\n",
" oxygenation_2, \n",
" save_as_base64=True\n",
" )\n",
" \n",
" print(\"✅ Graph generation successful!\")\n",
" print(f\"\\nChart size: {len(chart_b64)} characters (base64)\")\n",
" print(f\"\\nMetrics extracted:\")\n",
" for key, value in metrics.items():\n",
" print(f\" {key}: {value}\")\n",
" \n",
"except Exception as e:\n",
" print(f\"❌ Error: {e}\")\n",
" import traceback\n",
" traceback.print_exc()"
]
},
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"source": [
"## ✅ Integration Complete!\n",
"\n",
"The muscle oxygenation analysis has been successfully integrated into the report generation system.\n",
"\n",
"### What was implemented:\n",
"\n",
"1. **GraphGenerator Method** (`app/services/graph_generator.py`):\n",
" - Added `generate_muscle_oxygenation_chart()` method\n",
" - Processes Train.Red CSV data (with 10-second smoothing)\n",
" - Generates comprehensive chart with both legs and heart rate\n",
" - Returns both base64 image and extracted metrics dictionary\n",
"\n",
"2. **ContextGenerator Updates** (`app/services/context_generator.py`):\n",
" - Added `oxygenation_df` attribute\n",
" - Updated `load_data()` to accept optional `oxygenation_path` parameter\n",
" - Page 12 context now includes muscle oxygenation chart and all metrics\n",
"\n",
"3. **Page 12 Template** (`app/report_gen/page_12.html`):\n",
" - Replaced two separate leg charts with single comprehensive chart\n",
" - Added side-by-side metric cards for both legs\n",
" - Displays all key values: baseline, minimum, drop, recovery\n",
" - Includes summary findings section\n",
"\n",
"4. **Report Generation Pipeline** (`app/services/report_generator.py`, `app/main.py`):\n",
" - Updated to pass oxygenation CSV path through the system\n",
" - Automatically generates chart when oxygenation data is provided\n",
"\n",
"### How to use:\n",
"\n",
"When generating a report, simply provide the muscle oxygenation CSV file (Train.Red format), and the system will:\n",
"- Automatically load and process the data\n",
"- Generate the comprehensive visualization\n",
"- Extract all key metrics\n",
"- Include everything in Page 12 of the report\n",
"\n",
"No manual intervention required - it's fully automated!"
]
}
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