Stream Graph
Social Media Platform Engagement Stream
Stream visualization showing user engagement across major social media platforms over time.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {
'layers': ['#1DA1F2', '#E4405F', '#0077B5', '#FF0000', '#25D366', '#000000'],
'background': '#0a0a0f',
'text': '#ffffff',
'grid': '#333333',
}
np.random.seed(789)
weeks = np.arange(0, 52)
# Platform engagement
twitter = 30 + 10 * np.sin(weeks * np.pi / 13) + np.random.normal(0, 3, 52)
instagram = 45 + 0.3 * weeks + 8 * np.cos(weeks * np.pi / 10) + np.random.normal(0, 3, 52)
linkedin = 20 + 0.2 * weeks + 5 * np.sin(weeks * np.pi / 26) + np.random.normal(0, 2, 52)
youtube = 50 + 0.4 * weeks + 10 * np.sin(weeks * np.pi / 8) + np.random.normal(0, 4, 52)
whatsapp = 35 + 5 * np.cos(weeks * np.pi / 12) + np.random.normal(0, 2, 52)
tiktok = 10 + 0.8 * weeks + np.random.exponential(3, 52)
data = [np.clip(d, 1, None) for d in [twitter, instagram, linkedin, youtube, whatsapp, tiktok]]
fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])
# Custom colors for each platform
platform_colors = ['#1DA1F2', '#E4405F', '#0077B5', '#FF0000', '#25D366', '#FE2C55']
ax.stackplot(weeks, *data, colors=platform_colors, alpha=0.85, baseline='sym',
labels=['Twitter/X', 'Instagram', 'LinkedIn', 'YouTube', 'WhatsApp', 'TikTok'])
ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(0, 51)
ax.set_title('Social Media Engagement (Weekly)', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Week', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Engagement Score', 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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