Ridgeline Plot
Gaming FPS by Graphics Setting
Performance benchmarks with RGB gaming aesthetic
Output
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
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