Stream Graph

App Category Downloads Stream

Stream graph showing mobile app download trends across different categories.

Output
App Category Downloads Stream
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'layers': ['#EC4899', '#8B5CF6', '#3B82F6', '#10B981', '#F59E0B', '#EF4444'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(707)
months = np.arange(0, 24)

# App categories
games = 40 + 5 * np.sin(months * np.pi / 6) + np.random.normal(0, 3, 24)
social = 35 + 0.5 * months + np.random.normal(0, 2, 24)
productivity = 20 + 0.8 * months + np.random.normal(0, 2, 24)
entertainment = 25 + 0.3 * months + np.random.normal(0, 2, 24)
shopping = 15 + 10 * ((months > 10) & (months < 14)) + 10 * (months > 22) + np.random.normal(0, 2, 24)
health = 10 + 0.6 * months + np.random.normal(0, 1, 24)

data = [np.clip(d, 1, None) for d in [games, social, productivity, entertainment, shopping, health]]

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

ax.stackplot(months, *data, colors=COLORS['layers'], alpha=0.85, baseline='sym',
             labels=['Games', 'Social', 'Productivity', 'Entertainment', 'Shopping', 'Health'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5)
ax.set_xlim(0, 23)

ax.set_title('Mobile App Downloads by Category', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Month', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Downloads (Millions)', 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()
Library

Matplotlib

Category

Time Series

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