77 lines
2.7 KiB
Python
77 lines
2.7 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 matplotlib.ticker as mticker
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import numpy as np
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# Data
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months = ['2025-03','2025-04','2025-05','2025-06','2025-07','2025-08',
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'2025-09','2025-10','2025-11','2025-12',
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'2026-01','2026-02','2026-03','2026-04','2026-05']
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monthly = [19,6,8,28,30,45,145,81,126,125,107,140,391,692,519]
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cumulative = np.cumsum(monthly)
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# Style
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plt.rcParams['font.family'] = 'sans-serif'
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# Try to use a Chinese font
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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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fig, ax1 = plt.subplots(figsize=(14, 7))
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x = range(len(months))
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# Bar chart - monthly
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bars = ax1.bar(x, monthly, width=0.6, color='#5B9BD5', alpha=0.85, label='当月重复学习用户数', zorder=2)
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ax1.set_ylabel('当月重复学习用户数', fontsize=13, color='#5B9BD5')
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ax1.tick_params(axis='y', labelcolor='#5B9BD5')
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ax1.set_ylim(0, max(monthly) * 1.3)
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# Data labels on bars
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for i, (xi, v) in enumerate(zip(x, monthly)):
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if v > 0:
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ax1.text(xi, v + max(monthly)*0.02, str(v), ha='center', va='bottom', fontsize=9, color='#5B9BD5')
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# Line chart - cumulative
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ax2 = ax1.twinx()
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line = ax2.plot(x, cumulative, 'o-', color='#ED7D31', linewidth=2.5, markersize=6, label='累计重复学习用户数', zorder=3)
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ax2.set_ylabel('累计重复学习用户数', fontsize=13, color='#ED7D31')
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ax2.tick_params(axis='y', labelcolor='#ED7D31')
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ax2.set_ylim(0, cumulative[-1] * 1.2)
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# Data labels on cumulative line
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for i, (xi, v) in enumerate(zip(x, cumulative)):
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ax2.text(xi, v + cumulative[-1]*0.015, str(v), ha='center', va='bottom', fontsize=8, color='#ED7D31')
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# X-axis
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ax1.set_xticks(x)
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ax1.set_xticklabels(months, rotation=45, ha='right', fontsize=10)
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ax1.set_xlabel('月份', fontsize=13)
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# Title
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ax1.set_title('重复学习用户月度趋势（同一用户对同一课时完成≥2次）', fontsize=16, fontweight='bold', pad=20)
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# Grid
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ax1.grid(axis='y', alpha=0.3, linestyle='--')
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ax1.set_axisbelow(True)
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# Legend
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lines1, labels1 = ax1.get_legend_handles_labels()
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lines2, labels2 = ax2.get_legend_handles_labels()
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ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left', fontsize=11)
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# Annotation
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ax1.annotate('3月核心版本上线后\n重复学习用户快速增长',
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xy=(12, 391), xytext=(9, 550),
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arrowprops=dict(arrowstyle='->', color='#333', lw=1.5),
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fontsize=10, color='#333', bbox=dict(boxstyle='round,pad=0.3', facecolor='#FFF2CC', alpha=0.8))
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plt.tight_layout()
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plt.savefig('/root/.openclaw/workspace/output/repeat_learn_trend.png', dpi=150, bbox_inches='tight')
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print('Chart saved.')
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