Stream Graph
Fitness Activity Types Stream
Stream graph showing popular fitness activities throughout the year with seasonal patterns.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {
'layers': ['#EF4444', '#F59E0B', '#10B981', '#3B82F6', '#8B5CF6', '#EC4899'],
'background': '#ffffff',
'text': '#1f2937',
'grid': '#e5e7eb',
}
np.random.seed(1313)
weeks = np.arange(0, 52)
# Fitness activities with seasonal patterns
running = 30 + 15 * np.sin(weeks * np.pi / 26 - np.pi/2) + np.random.normal(0, 3, 52) # Peak spring/fall
cycling = 25 + 18 * np.sin(weeks * np.pi / 26) + np.random.normal(0, 3, 52) # Peak summer
swimming = 15 + 20 * np.exp(-((weeks - 30)**2) / 50) + np.random.normal(0, 2, 52) # Peak summer
gym = 35 + 10 * np.cos(weeks * np.pi / 26) + np.random.normal(0, 3, 52) # Peak winter
yoga = 20 + 5 * np.sin(weeks * np.pi / 13) + np.random.normal(0, 2, 52)
hiking = 15 + 12 * np.sin(weeks * np.pi / 26) + np.random.normal(0, 2, 52)
data = [np.clip(d, 1, None) for d in [running, cycling, swimming, gym, yoga, hiking]]
fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])
ax.stackplot(weeks, *data, colors=COLORS['layers'], alpha=0.85, baseline='sym',
labels=['Running', 'Cycling', 'Swimming', 'Gym', 'Yoga', 'Hiking'])
ax.axhline(0, color=COLORS['grid'], linewidth=0.5)
ax.set_xlim(0, 51)
ax.set_title('Fitness Activities Throughout the Year', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Week', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Participants (thousands)', color=COLORS['text'], fontsize=11)
# Legend below plot
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, fontsize=9, ncol=6)
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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