83 lines
3.4 KiB
Python
83 lines
3.4 KiB
Python
import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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import numpy as np
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plt.rcParams['font.family'] = 'sans-serif'
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for f in ['WenQuanYi Micro Hei', 'Noto Sans CJK SC', 'SimHei', 'DejaVu Sans']:
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try:
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plt.rcParams['font.sans-serif'] = [f]
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break
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except:
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continue
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plt.rcParams['axes.unicode_minus'] = False
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ranges = ['0分钟\n(无时长数据)', '5-10', '10-15', '15-20', '20-30', '30-45', '45-60', '60-90', '90-120', '120+']
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l1 = [0, 0, 7, 195, 1036, 749, 225, 118, 37, 28]
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l2 = [1403, 4, 14, 45, 172, 582, 238, 115, 31, 22]
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fig, axes = plt.subplots(1, 2, figsize=(18, 7))
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x = np.arange(len(ranges))
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w = 0.35
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# === Left: Side-by-side bar ===
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b1 = axes[0].bar(x - w/2, l1, w, color='#4472C4', label='L1 (2,395组合)', edgecolor='white', linewidth=0.5)
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b2 = axes[0].bar(x + w/2, l2, w, color='#ED7D31', label='L2 (2,626组合)', edgecolor='white', linewidth=0.5)
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# Labels for bars > 0
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for bar, v, c in zip(b1, l1, ['#4472C4']*len(l1)):
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if v > 20:
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axes[0].text(bar.get_x()+bar.get_width()/2, v+max(max(l1),max(l2))*0.02,
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str(v), ha='center', fontsize=8, color=c)
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for bar, v, c in zip(b2, l2, ['#ED7D31']*len(l2)):
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if v > 20:
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axes[0].text(bar.get_x()+bar.get_width()/2, v+max(max(l1),max(l2))*0.02,
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str(v), ha='center', fontsize=8, color=c)
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axes[0].set_xticks(x)
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axes[0].set_xticklabels(ranges, fontsize=10, rotation=0)
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axes[0].set_ylabel('重复学习组合数', fontsize=12)
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axes[0].set_title('L1 vs L2 总学习时长分布对比', fontsize=14, fontweight='bold')
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axes[0].legend(fontsize=11)
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axes[0].grid(axis='y', alpha=0.2, linestyle='--')
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axes[0].set_ylim(0, max(max(l1), max(l2))*1.18)
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# === Right: Percentage within each level ===
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l1_total = sum(l1) # 2395
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l2_total = sum(l2) # 2626
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l1_pct = [v/l1_total*100 if l1_total > 0 else 0 for v in l1]
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l2_pct = [v/l2_total*100 if l2_total > 0 else 0 for v in l2]
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bp1 = axes[1].bar(x - w/2, l1_pct, w, color='#4472C4', label=f'L1 ({l1_total}组合)', edgecolor='white', linewidth=0.5)
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bp2 = axes[1].bar(x + w/2, l2_pct, w, color='#ED7D31', label=f'L2 ({l2_total}组合)', edgecolor='white', linewidth=0.5)
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for bar, v in zip(bp1, l1_pct):
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if v > 2:
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axes[1].text(bar.get_x()+bar.get_width()/2, v+max(max(l1_pct),max(l2_pct))*0.02,
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f'{v:.1f}%', ha='center', fontsize=8, color='#4472C4')
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for bar, v in zip(bp2, l2_pct):
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if v > 2:
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axes[1].text(bar.get_x()+bar.get_width()/2, v+max(max(l1_pct),max(l2_pct))*0.02,
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f'{v:.1f}%', ha='center', fontsize=8, color='#ED7D31')
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axes[1].set_xticks(x)
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axes[1].set_xticklabels(ranges, fontsize=10, rotation=0)
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axes[1].set_ylabel('占比 (%)', fontsize=12)
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axes[1].set_title('L1 vs L2 总学习时长占比对比', fontsize=14, fontweight='bold')
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axes[1].legend(fontsize=11)
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axes[1].grid(axis='y', alpha=0.2, linestyle='--')
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axes[1].set_ylim(0, max(max(l1_pct), max(l2_pct))*1.18)
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fig.suptitle('最近3个月（2026.03-05）重复学习时长分布 L1 vs L2',
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fontsize=16, fontweight='bold', y=1.02)
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fig.text(0.5, 0.01,
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'⚠️ L2有1,403个组合(53.4%)无组件级时长数据(0分钟) | L1数据完整 | '
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'L1峰值20-30分钟(43%), L2峰值30-45分钟(去除零值后占48%)',
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ha='center', fontsize=10, color='#C0392B')
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plt.tight_layout(rect=[0, 0.06, 1, 0.95])
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plt.savefig('/root/.openclaw/workspace/output/repeat_duration_l1l2_3m.png', dpi=150, bbox_inches='tight')
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print('Saved.')
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