Music Streaming Peaks by Platform

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

np.random.seed(123)

platforms = ['Spotify', 'Apple Music', 'YouTube Music', 'Tidal', 'Deezer', 'SoundCloud']
colors = ['#1DB954', '#FC3C44', '#FF0000', '#00BFFF', '#FEAA2D', '#FF5500']

data = {
    'Spotify': np.random.beta(8, 3, 600) * 100,
    'Apple Music': np.random.beta(6, 4, 600) * 80,
    'YouTube Music': np.random.beta(7, 3, 600) * 90,
    'Tidal': np.random.beta(4, 5, 600) * 60,
    'Deezer': np.random.beta(5, 5, 600) * 70,
    'SoundCloud': np.random.beta(5, 4, 600) * 75
}

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

overlap = 1.6
x_range = np.linspace(0, 100, 300)

for i, (platform, streams) in enumerate(data.items()):
    kde = stats.gaussian_kde(streams, 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, platform, fontsize=10, color='#1f2937',
            ha='right', va='bottom', fontweight='600')

ax.set_xlim(-35, 100)
ax.set_ylim(-0.3, len(platforms) * overlap + 1.8)
ax.set_xlabel('Streams (millions)', fontsize=12, color='#374151', fontweight='500')
ax.set_title('Music Streaming Peaks by Platform', 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()