Ridgeline Plot
Music Streaming Hours by Day
Weekly listening patterns across different days
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
np.random.seed(42)
days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
base_hours = [2.5, 2.3, 2.4, 2.6, 3.5, 5.0, 4.5]
fig, ax = plt.subplots(figsize=(12, 9), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
colors = ['#4927F5', '#276CF5', '#27D3F5', '#27F5B0', '#6CF527', '#F5B027', '#F5276C']
x = np.linspace(0, 10, 200)
overlap = 2.0
for i, (day, base, color) in enumerate(zip(days, base_hours, colors)):
data = np.random.gamma(base, 1, 1000)
kde = stats.gaussian_kde(data)
y = kde(x) * 8
y_offset = i * overlap
ax.fill_between(x, y_offset, y + y_offset, alpha=0.85, color=color, edgecolor='#1f2937', linewidth=0.8)
ax.text(-0.5, y_offset + 0.3, day, fontsize=10, color='#1f2937', va='center', ha='right', fontweight='500')
ax.set_xlim(-3, 10)
ax.set_ylim(-0.5, len(days) * overlap + 2)
ax.set_xlabel('Hours of Streaming', color='#1f2937', fontsize=11, fontweight='500')
ax.set_title('Music Streaming Hours by Day of Week', color='#1f2937', fontsize=14, fontweight='bold', pad=20)
ax.tick_params(colors='#374151', labelsize=9)
ax.set_yticks([])
for spine in ax.spines.values():
spine.set_visible(False)
ax.spines['bottom'].set_visible(True)
ax.spines['bottom'].set_color('#e5e7eb')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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