92 lines
3.7 KiB
Python
92 lines
3.7 KiB
Python
import matplotlib.pyplot as plt
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import matplotlib.patheffects as path_effects
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import matplotlib.ticker as ticker
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# ==========================================
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# 0. HELPER FUNCTION
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# ==========================================
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def format_val(x, pos=None):
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"""Formats numbers to k/M format for axes and labels"""
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if x >= 1_000_000:
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return f"{x/1_000_000:.1f}".replace('.0', '') + 'M'
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elif x >= 1000:
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return f"{x/1000:.1f}".replace('.0', '') + 'k'
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return str(int(x))
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# ==========================================
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# 1. EDIT YOUR DATA HERE
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# ==========================================
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labels = ['Tetris AI test CPU', 'tet_cpu_per_row', '4 tet_cpu_per_row']
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values = [41700, 909000, 909000*4] # e.g., Speed, FPS, Transactions per second (Higher is better)
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# Define your unit here (add a space at the start so it looks clean)
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unit_label = "Moves per Second [Moves/sec]"
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# Style choices
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brand_color = '#00E5FF'
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competitor_color = '#888888'
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max_val = max(values)
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# Bracket will compare the first and last (or you can change these indices)
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start_val, end_val = values[0], values[-1]
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multiplier = end_val / start_val
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black_outline = [path_effects.withStroke(linewidth=3, foreground='black')]
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# ==========================================
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# 2. SETUP & DYNAMIC PLOTTING
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# ==========================================
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fig, ax = plt.subplots(figsize=(10, 6)) # Increased height for more labels
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fig.patch.set_alpha(0.0)
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ax.patch.set_alpha(0.0)
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# Create color list: grey for all, brand_color for the last one
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colors = [competitor_color] * (len(values) - 1) + [brand_color]
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bars = ax.barh(labels, values, color=colors, height=0.5, zorder=3)
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# Configure Axis
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ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_val))
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for spine in ax.spines.values(): spine.set_visible(False)
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ax.spines['bottom'].set_visible(True)
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ax.spines['bottom'].set_color('white')
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ax.spines['bottom'].set_path_effects(black_outline)
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ax.tick_params(axis='both', colors='white', labelsize=12)
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for label in ax.get_xticklabels() + ax.get_yticklabels():
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label.set_path_effects(black_outline)
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ax.xaxis.grid(True, linestyle='--', color='white', alpha=0.3, zorder=0)
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xlabel = ax.set_xlabel(unit_label, color='white', fontsize=12, labelpad=12, fontfamily='monospace')
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xlabel.set_path_effects(black_outline)
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# Add Labels for each bar
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for bar, val in zip(bars, values):
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width = bar.get_width()
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txt = ax.text(width - (max_val * 0.02) if width >= (max_val*0.15) else width + (max_val*0.02),
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bar.get_y() + bar.get_height()/2,
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format_val(val),
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ha='right' if width >= (max_val*0.15) else 'left',
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va='center', color='white', fontsize=12, fontweight='bold')
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txt.set_path_effects(black_outline)
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# ==========================================
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# 3. DYNAMIC BRACKET (First vs Last)
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# ==========================================
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y_start, y_end = bars[0].get_y() + bars[0].get_height()/2, bars[-1].get_y() + bars[-1].get_height()/2
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x_line, x_tick = max_val * 1.10, max_val * 1.07 # Shifted further right to accommodate N items
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l1, = ax.plot([x_tick, x_line], [y_end, y_end], color=brand_color, lw=2)
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l2, = ax.plot([x_tick, x_line], [y_start, y_start], color=brand_color, lw=2)
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l3, = ax.plot([x_line, x_line], [y_start, y_end], color=brand_color, lw=2)
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for l in [l1, l2, l3]: l.set_path_effects(black_outline)
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mult_txt = ax.text(x_line + (max_val * 0.03), (y_start+y_end)/2,
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f'{multiplier:.1f}x\nFASTER',
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ha='left', va='center', color=brand_color, fontsize=18, fontweight='heavy')
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mult_txt.set_path_effects(black_outline)
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ax.set_xlim(0, max_val * 1.5)
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plt.tight_layout()
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plt.subplots_adjust(bottom=0.2)
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plt.savefig('dynamic_comparison.png', dpi=300, transparent=True)
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plt.show() |