Website Traffic Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#DBEAFE', '#93C5FD', '#3B82F6', '#2563EB'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(1717)
hours = np.arange(0, 720)  # 30 days
# Traffic: workday pattern with campaign spikes
daily = 50 + 30 * np.sin(hours * 2 * np.pi / 24 - np.pi/4)
weekly = 20 * np.cos(hours * 2 * np.pi / 168)
campaign = np.zeros(len(hours))
campaign[200:220] = 40  # Marketing campaign
traffic = daily + weekly + campaign + np.random.exponential(10, len(hours))
traffic = np.clip(traffic, 0, 150)
traffic_norm = traffic / 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(traffic_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(hours, 0, np.clip(traffic_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(hours, 0, np.clip(traffic_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(hours, 0, np.clip(traffic_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 719)
ax.set_ylim(0, 0.3)

ax.set_title('Website Visitors (thousands/hour)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Day', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Visitors/hr', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 168, 336, 504, 672])
ax.set_xticklabels(['Week 1', 'Week 2', 'Week 3', 'Week 4', ''])

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

plt.tight_layout()
plt.show()