Boxplot
Smart Contract Gas Usage
Gas consumption distribution across DeFi protocols
Output
Python
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(42)
protocols = ['Uniswap', 'Aave', 'Compound', 'Curve', 'MakerDAO']
data = [
np.random.lognormal(11, 0.4, 300) / 1000,
np.random.lognormal(11.5, 0.5, 300) / 1000,
np.random.lognormal(11.2, 0.45, 300) / 1000,
np.random.lognormal(11.8, 0.55, 300) / 1000,
np.random.lognormal(12, 0.6, 300) / 1000
]
fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor('#0d1117')
fig.patch.set_facecolor('#0d1117')
colors = ['#F5276C', '#4927F5', '#6CF527', '#F5B027', '#27D3F5']
bp = ax.boxplot(data, widths=0.55, patch_artist=True, showfliers=False,
medianprops=dict(color='white', linewidth=2))
for patch, color in zip(bp['boxes'], colors):
patch.set_facecolor(color)
patch.set_alpha(0.8)
patch.set_edgecolor(color)
for i, color in enumerate(colors):
bp['whiskers'][i*2].set_color(color)
bp['whiskers'][i*2+1].set_color(color)
bp['caps'][i*2].set_color(color)
bp['caps'][i*2+1].set_color(color)
ax.set_xticklabels(protocols, rotation=15, ha='right')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#333333')
ax.spines['bottom'].set_color('#333333')
ax.yaxis.grid(True, color='#1a1a3f', linewidth=0.5, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors='#888888', labelsize=9, length=0, pad=8)
ax.set_ylabel('Gas Used (K units)', fontsize=11, color='white', fontweight='500')
ax.set_title('DeFi Protocol Gas Consumption', fontsize=14, color='white', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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