Video Game Sales by Region Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'layers': ['#EF4444', '#3B82F6', '#10B981', '#F59E0B', '#8B5CF6'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(2222)
years = np.arange(2010, 2025)
n = len(years)

north_america = 35 + 0.5 * (years - 2010) + 3 * np.sin((years - 2012) * np.pi / 4) + np.random.normal(0, 2, n)
europe = 28 + 0.4 * (years - 2010) + np.random.normal(0, 2, n)
asia = 25 + 1.2 * (years - 2010) + np.random.normal(0, 2, n)
latam = 8 + 0.3 * (years - 2010) + np.random.normal(0, 1, n)
other = 4 + 0.1 * (years - 2010) + np.random.normal(0, 0.5, n)

data = [np.clip(d, 1, None) for d in [north_america, europe, asia, latam, other]]

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=['North America', 'Europe', 'Asia Pacific', 'Latin America', 'Other'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5)
ax.set_xlim(2010, 2024)

ax.set_title('Video Game Sales by Region', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Year', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Sales ($ Billions)', color=COLORS['text'], fontsize=11)

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

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

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