Stream Graph
App Category Downloads Stream
Stream graph showing mobile app download trends across different categories.
Output
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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