V2.0 五大核心增强: 锚点定位/原生图表/插件架构/WebSocket/LLM智能

ppt_manager/scripts/employment_table.py

@@ -0,0 +1,62 @@
+import pandas as pd
+import numpy as np
+from pathlib import Path
+from loguru import logger
+import matplotlib.pyplot as plt
+
+def generate(output_dir):
+    logger.info("开始生成就业数据表")
+    
+    categories = ['城镇调查失业率', '青年失业率', '制造业PMI', '服务业PMI']
+    current = [5.1, 15.3, 49.8, 53.2]
+    previous = [5.2, 15.6, 49.5, 53.0]
+    change = [c - p for c, p in zip(current, previous)]
+    
+    data = pd.DataFrame({
+        '指标': categories,
+        '当前值': current,
+        '上期值': previous,
+        '变动': change
+    })
+    
+    fig, ax = plt.subplots(figsize=(10, 6))
+    ax.axis('tight')
+    ax.axis('off')
+    
+    table_data = []
+    for _, row in data.iterrows():
+        change_color = '#4CAF50' if row['变动'] >= 0 else '#F44336'
+        table_data.append([
+            row['指标'],
+            f"{row['当前值']:.1f}",
+            f"{row['上期值']:.1f}",
+            f"{row['变动']:+.1f}"
+        ])
+    
+    table = ax.table(
+        cellText=table_data,
+        colLabels=['指标', '当前值', '上期值', '变动'],
+        cellLoc='center',
+        loc='center',
+        colColours=['#4A90E2'] * 4
+    )
+    
+    table.auto_set_font_size(False)
+    table.set_fontsize(12)
+    table.scale(1, 2)
+    
+    for key, cell in table.get_celld().items():
+        if key[0] > 0 and key[1] == 3:
+            cell.set_text_props(color='green' if '+' in cell.get_text().get_text() else 'red')
+    
+    ax.set_title('就业与PMI数据摘要', fontsize=16, fontweight='bold', pad=20)
+    
+    output_path = Path(output_dir) / 'employment_table.png'
+    plt.savefig(str(output_path), dpi=150, bbox_inches='tight')
+    plt.close()
+    
+    logger.info(f"就业数据表已生成: {output_path}")
+    return str(output_path)
+
+if __name__ == "__main__":
+    generate(Path.cwd())