Air Quality Index Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#DBEAFE', '#93C5FD', '#3B82F6', '#1D4ED8'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(333)
hours = np.arange(0, 168)  # Week
# AQI pattern: higher during rush hours, lower at night
rush_hour = 30 * (np.exp(-((hours % 24 - 8)**2) / 10) + np.exp(-((hours % 24 - 18)**2) / 10))
aqi = 40 + rush_hour + np.random.normal(0, 10, len(hours))
aqi = np.clip(aqi, 0, 150)
aqi_norm = aqi / 150

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

band = 0.25

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

ax.set_xlim(0, 167)
ax.set_ylim(0, 0.3)

ax.set_title('Air Quality Index (Weekly)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Day', color=COLORS['text'], fontsize=10)
ax.set_ylabel('AQI', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 24, 48, 72, 96, 120, 144])
ax.set_xticklabels(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])

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

plt.tight_layout()
plt.show()