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March 29, 2025 09:31
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| import matplotlib.pyplot as plt | |
| import numpy as np | |
| # Data for Uniswap V1–V4 Comparison | |
| versions = ['V1', 'V2', 'V3', 'V4'] | |
| capital_efficiency = [1.0, 1.2, 4.0, 5.0] | |
| inverse_cost = [2.0, 2.5, 3.3, 5.0] | |
| risk_tools = [1, 2, 3, 5] | |
| il_inverted = [1.0, 1.5, 3.0, 4.0] | |
| fees_earned = [1.0, 1.5, 3.5, 4.5] | |
| # X-axis setup | |
| x = np.arange(len(versions)) | |
| width = 0.15 | |
| # Color palette | |
| colors = ['#3498DB', '#2ECC71', '#F39C12', '#E74C3C', '#9B59B6'] | |
| # Create the plot | |
| fig, ax = plt.subplots(figsize=(12, 6)) | |
| bars1 = ax.bar(x - 2*width, capital_efficiency, width, label='Capital Efficiency', color=colors[0]) | |
| bars2 = ax.bar(x - width, inverse_cost, width, label='Inverse Cost', color=colors[1]) | |
| bars3 = ax.bar(x, risk_tools, width, label='Risk Tools Maturity', color=colors[2]) | |
| bars4 = ax.bar(x + width, il_inverted, width, label='Impermanent Loss (Inverted)', color=colors[3]) | |
| bars5 = ax.bar(x + 2*width, fees_earned, width, label='Fees Earned', color=colors[4]) | |
| # Labels and title | |
| ax.set_title('📊 Uniswap V1–V4: Metric-by-Metric Comparison', fontsize=16, fontweight='bold') | |
| ax.set_xlabel('Uniswap Versions', fontsize=12) | |
| ax.set_ylabel('Relative Scores (Normalized)', fontsize=12) | |
| ax.set_xticks(x) | |
| ax.set_xticklabels(versions) | |
| ax.legend(loc='upper left', bbox_to_anchor=(1, 1)) | |
| # Annotate bars | |
| def annotate_bars(bars, color): | |
| for bar in bars: | |
| height = bar.get_height() | |
| ax.annotate(f'{height:.1f}', | |
| xy=(bar.get_x() + bar.get_width() / 2, height), | |
| xytext=(0, 4), | |
| textcoords="offset points", | |
| ha='center', va='bottom', | |
| fontsize=9, fontweight='bold', color=color) | |
| annotate_bars(bars1, colors[0]) | |
| annotate_bars(bars2, colors[1]) | |
| annotate_bars(bars3, colors[2]) | |
| annotate_bars(bars4, colors[3]) | |
| annotate_bars(bars5, colors[4]) | |
| # Style | |
| ax.grid(axis='y', linestyle='--', alpha=0.6) | |
| plt.tight_layout() | |
| plt.show() |
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