Sleep Quality Score Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#E0E7FF', '#A5B4FC', '#6366F1', '#4F46E5'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(1313)
days = np.arange(0, 90)  # 3 months
# Sleep quality: weekly pattern with weekends better
weekly = 10 * np.sin(days * 2 * np.pi / 7)
trend = 5 * np.sin(days * np.pi / 45)  # Monthly variation
sleep = 70 + weekly + trend + np.random.normal(0, 8, len(days))
sleep = np.clip(sleep, 40, 100)
sleep_norm = sleep / 100

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

band = 0.25

ax.fill_between(days, 0, np.clip(sleep_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(days, 0, np.clip(sleep_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(days, 0, np.clip(sleep_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(days, 0, np.clip(sleep_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 89)
ax.set_ylim(0, 0.3)

ax.set_title('Sleep Quality Score (3 Months)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Week', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Quality Score', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 14, 28, 42, 56, 70, 84])
ax.set_xticklabels(['W1', 'W2', 'W4', 'W6', 'W8', 'W10', 'W12'])

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

plt.tight_layout()
plt.show()