Weekly Activity Pattern

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(42)

# Activity by hour and day
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
hours = [f'{h:02d}:00' for h in range(24)]

# Create realistic activity pattern
activity = np.zeros((24, 7))
for h in range(24):
    for d in range(7):
        base = 20
        # Morning peak (weekdays)
        if 7 <= h <= 9 and d < 5:
            base += 60
        # Lunch peak
        if 12 <= h <= 13:
            base += 40
        # Evening peak
        if 18 <= h <= 21:
            base += 50 if d >= 5 else 30
        # Night low
        if h < 6 or h > 22:
            base = 5
        activity[h, d] = base + np.random.randint(-10, 15)

df = pd.DataFrame(activity, index=hours, columns=days)

# NEON mint colormap for light theme
neon_mint = LinearSegmentedColormap.from_list('neon_mint', ['#ffffff', '#27F5B0', '#6CF527', '#F5B027'])

fig, ax = plt.subplots(figsize=(8, 9), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

sns.heatmap(df, cmap=neon_mint, linewidths=1, linecolor='#ffffff',
            cbar_kws={'shrink': 0.5, 'label': 'Activity Level'}, ax=ax)

ax.set_title('Weekly Activity Pattern', color='#1f2937', fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Day', color='#1f2937', fontsize=11)
ax.set_ylabel('Hour', color='#1f2937', fontsize=11)
ax.tick_params(colors='#374151', labelsize=9)

plt.tight_layout()
plt.show()