KDE Plot
Gaming Frame Time KDE
Frame time distribution across different GPU tiers in gaming benchmarks
Output
Python
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import gaussian_kde
np.random.seed(111)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
# Frame time in ms
high_end = np.random.gamma(2, 3, 600) + 5
mid_range = np.random.gamma(2.5, 5, 600) + 8
budget = np.random.gamma(3, 7, 600) + 12
fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)
x_range = np.linspace(0, 60, 500)
for data, color, label in [(high_end, '#6CF527', 'High-End GPU'),
(mid_range, '#27D3F5', 'Mid-Range GPU'),
(budget, '#F5B027', 'Budget GPU')]:
data_clipped = data[data < 60]
kde = gaussian_kde(data_clipped)
density = kde(x_range)
ax.plot(x_range, density, color=color, linewidth=2.5, label=label)
ax.fill_between(x_range, density, alpha=0.3, color=color)
ax.axvline(16.67, color='#F5276C', linestyle='--', alpha=0.8, linewidth=2, label='60 FPS Target')
ax.set_xlabel('Frame Time (ms)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Density', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Gaming Frame Time Distribution by GPU Tier', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)
ax.set_xlim(0, 60)
ax.tick_params(colors='#888888', labelsize=10)
for spine in ax.spines.values():
spine.set_color('#333333')
ax.legend(facecolor=BG_COLOR, edgecolor='#333333', labelcolor=TEXT_COLOR, fontsize=10)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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