Ridgeline Plot

Gaming FPS by Graphics Setting

Performance benchmarks with RGB gaming aesthetic

Output
Gaming FPS by Graphics Setting
Python
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(888)

settings = ['Ultra', 'High', 'Medium', 'Low', 'Very Low', 'Potato']
colors = ['#F5276C', '#F54927', '#F5B027', '#6CF527', '#27D3F5', '#4927F5']

data = {
    'Ultra': np.random.normal(45, 12, 500),
    'High': np.random.normal(75, 15, 500),
    'Medium': np.random.normal(110, 18, 500),
    'Low': np.random.normal(160, 20, 500),
    'Very Low': np.random.normal(220, 25, 500),
    'Potato': np.random.normal(300, 35, 500)
}

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

overlap = 1.6
x_range = np.linspace(0, 400, 300)

for i, (setting, fps) in enumerate(data.items()):
    kde = stats.gaussian_kde(fps, bw_method=0.3)
    y = kde(x_range) * 3.5
    baseline = i * overlap
    
    ax.fill_between(x_range, baseline, y + baseline, alpha=0.7, color=colors[i])
    ax.plot(x_range, y + baseline, color=colors[i], linewidth=2.5)
    
    ax.text(-10, baseline + 0.12, setting, fontsize=11, color='#1f2937',
            ha='right', va='bottom', fontweight='600')

ax.set_xlim(-50, 400)
ax.set_ylim(-0.3, len(settings) * overlap + 1.8)
ax.set_xlabel('Frames Per Second', fontsize=12, color='#374151', fontweight='500')
ax.set_title('Gaming FPS by Graphics Setting', fontsize=16, color='#1f2937', fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#374151', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
ax.spines['bottom'].set_color('#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Statistical

Did this help you?

Support PyLucid to keep it free & growing

Support