Stream Graph

Gaming Platform Revenue Stream

Stream visualization of gaming revenue across platforms with vibrant neon aesthetics.

Output
Gaming Platform Revenue Stream
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'background': '#0a0a0f',
    'text': '#ffffff',
    'grid': '#333333',
}

np.random.seed(404)
years = np.arange(2015, 2025)
n = len(years)

# Gaming platforms
mobile = 20 + 8 * (years - 2015) + np.random.normal(0, 3, n)
console = 40 + 2 * (years - 2015) + 5 * np.sin((years - 2017) * np.pi / 3) + np.random.normal(0, 3, n)
pc = 30 + 3 * (years - 2015) + np.random.normal(0, 2, n)
cloud = 2 + 4 * (years - 2019) * (years > 2019) + np.random.normal(0, 1, n)
vr = 1 + 2 * (years - 2020) * (years > 2020) + np.random.normal(0, 0.5, n)

data = [np.clip(d, 1, None) for d in [mobile, console, pc, cloud, vr]]
platform_colors = ['#6CF527', '#276CF5', '#F5276C', '#27D3F5', '#F5B027']

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

ax.stackplot(years, *data, colors=platform_colors, alpha=0.85, baseline='sym',
             labels=['Mobile', 'Console', 'PC', 'Cloud Gaming', 'VR/AR'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(2015, 2024)

ax.set_title('Gaming Revenue by Platform (2015-2024)', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Year', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Revenue ($ Billions)', 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()
Library

Matplotlib

Category

Time Series

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