Blood Glucose Monitor Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'high': ['#FCE7F3', '#F9A8D4', '#EC4899'],
    'low': ['#DBEAFE', '#93C5FD', '#3B82F6'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(777)
hours = np.linspace(0, 24, 288)  # 5-min readings
# Glucose pattern with meal spikes
fasting = 90
breakfast = 40 * np.exp(-((hours - 8)**2) / 2)
lunch = 50 * np.exp(-((hours - 13)**2) / 2)
dinner = 45 * np.exp(-((hours - 19)**2) / 2)
glucose = fasting + breakfast + lunch + dinner + np.random.normal(0, 8, len(hours))
glucose_centered = glucose - 100  # Center at 100 mg/dL

fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

band = 25

# High glucose
ax.fill_between(hours, 0, np.clip(glucose_centered, 0, band), color=COLORS['high'][0])
ax.fill_between(hours, 0, np.clip(glucose_centered - band, 0, band), color=COLORS['high'][1])
ax.fill_between(hours, 0, np.clip(glucose_centered - 2*band, 0, band), color=COLORS['high'][2])

# Low glucose
ax.fill_between(hours, 0, np.clip(glucose_centered, -band, 0), color=COLORS['low'][0])
ax.fill_between(hours, 0, np.clip(glucose_centered + band, -band, 0), color=COLORS['low'][1])
ax.fill_between(hours, 0, np.clip(glucose_centered + 2*band, -band, 0), color=COLORS['low'][2])

ax.axhline(0, color=COLORS['grid'], linewidth=1)
ax.set_xlim(0, 24)
ax.set_ylim(-30, 30)

ax.set_title('Continuous Glucose Monitor (mg/dL from baseline)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Hour', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Glucose', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 6, 12, 18, 24])

for spine in ax.spines.values():
    spine.set_color(COLORS['grid'])
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.show()