Heart Rate During Activities

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(42)
activities = ['Resting', 'Walking', 'Jogging', 'Running', 'Cycling', 'HIIT', 'Swimming']
hr_means = [65, 90, 130, 160, 145, 175, 135]
hr_stds = [8, 12, 15, 12, 18, 10, 14]

fig, ax = plt.subplots(figsize=(12, 9), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

colors = ['#27F5B0', '#6CF527', '#D3F527', '#F5B027', '#F54927', '#F5276C', '#27D3F5']

x = np.linspace(40, 200, 200)
overlap = 2.0

for i, (activity, mean, std, color) in enumerate(zip(activities, hr_means, hr_stds, colors)):
    data = np.random.normal(mean, std, 1000)
    kde = stats.gaussian_kde(data)
    y = kde(x) * 10
    y_offset = i * overlap
    
    ax.fill_between(x, y_offset, y + y_offset, alpha=0.85, color=color, edgecolor='white', linewidth=0.8)
    ax.text(35, y_offset + 0.3, activity, fontsize=10, color='white', va='center', ha='right', fontweight='500')

ax.set_xlim(20, 200)
ax.set_ylim(-0.5, len(activities) * overlap + 2)
ax.set_xlabel('Heart Rate (BPM)', color='white', fontsize=11, fontweight='500')
ax.set_title('Heart Rate Distribution During Activities', color='white', fontsize=14, fontweight='bold', pad=20)
ax.tick_params(colors='#888888', labelsize=9)
ax.set_yticks([])
for spine in ax.spines.values():
    spine.set_visible(False)
ax.spines['bottom'].set_visible(True)
ax.spines['bottom'].set_color('#333333')

plt.tight_layout()
plt.show()