Music Genre Popularity Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'layers': ['#F5276C', '#F54927', '#F5B027', '#27D3F5', '#6CF527', '#4927F5'],
    'background': '#0a0a0f',
    'text': '#ffffff',
    'grid': '#333333',
}

np.random.seed(42)
years = np.arange(1970, 2025)
n_years = len(years)

# Genre popularity over time
rock = 40 * np.exp(-((years - 1985)**2) / 500) + 10
pop = 30 + 15 * np.sin((years - 1980) * np.pi / 20) + np.random.normal(0, 3, n_years)
hiphop = 50 / (1 + np.exp(-(years - 1995) / 5)) + np.random.normal(0, 2, n_years)
electronic = 40 / (1 + np.exp(-(years - 2005) / 4)) + np.random.normal(0, 2, n_years)
rb = 20 + 10 * np.sin((years - 1990) * np.pi / 15) + np.random.normal(0, 2, n_years)
country = 15 + 5 * np.sin((years - 1985) * np.pi / 25) + np.random.normal(0, 2, n_years)

data = [rock, pop, hiphop, electronic, rb, country]

fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

ax.stackplot(years, *data, colors=COLORS['layers'], alpha=0.85, baseline='sym',
             labels=['Rock', 'Pop', 'Hip-Hop', 'Electronic', 'R&B', 'Country'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(1970, 2024)

ax.set_title('Music Genre Popularity (1970-2024)', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Year', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Popularity Index', color=COLORS['text'], fontsize=11)

ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, labelcolor=COLORS['text'], fontsize=9, ncol=5)

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

plt.tight_layout()
plt.subplots_adjust(bottom=0.18)
plt.show()