Podcast Listen Duration by Genre

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

np.random.seed(333)

genres = ['True Crime', 'Comedy', 'News', 'Tech', 'Sports', 'History']
colors = ['#F5276C', '#F54927', '#F5B027', '#F5D327', '#C82909', '#9C2007']

data = {
    'True Crime': np.random.gamma(6, 8, 500),
    'Comedy': np.random.gamma(5, 10, 500),
    'News': np.random.gamma(3, 7, 500),
    'Tech': np.random.gamma(5, 12, 500),
    'Sports': np.random.gamma(4, 15, 500),
    'History': np.random.gamma(6, 10, 500)
}

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

overlap = 1.6
x_range = np.linspace(0, 120, 300)

for i, (genre, minutes) in enumerate(data.items()):
    kde = stats.gaussian_kde(minutes, bw_method=0.3)
    y = kde(x_range) * 3.5
    baseline = i * overlap
    
    ax.fill_between(x_range, baseline, y + baseline, alpha=0.7, color=colors[i])
    ax.plot(x_range, y + baseline, color=colors[i], linewidth=2.5)
    
    ax.text(-3, baseline + 0.12, genre, fontsize=11, color='#1f2937',
            ha='right', va='bottom', fontweight='600')

ax.set_xlim(-25, 120)
ax.set_ylim(-0.3, len(genres) * overlap + 1.8)
ax.set_xlabel('Listen Duration (minutes)', fontsize=12, color='#374151', fontweight='500')
ax.set_title('Podcast Listen Duration by Genre', fontsize=16, color='#1f2937', fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#374151', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
ax.spines['bottom'].set_color('#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)

plt.tight_layout()
plt.show()