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@@ -14,7 +14,7 @@ feature_columns = [
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# === 1. 读取CSV并预处理 ===
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try:
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- df = pd.read_csv(csv_path, parse_dates=["t_formula", "t_real"], encoding='gbk')
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+ df = pd.read_csv(csv_path, parse_dates=["t_formula", "t_real"], encoding='utf-8')
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print(f"✅ 成功读取CSV文件，共{len(df)}条数据")
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except Exception as e:
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print(f"❌ 读取CSV失败: {e}")
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@@ -68,7 +68,7 @@ df.loc[new_sample.index, "predicted_t_real_hours"] = predicted_time
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# === 4. 保存带预测值的CSV ===
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try:
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- df.to_csv(csv_path, encoding='gbk', index=False)
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+ df.to_csv(csv_path, encoding='utf-8', index=False)
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print(f"✅ 最新数据预测完成，已更新到 {csv_path}")
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except Exception as e:
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print(f"❌ 保存CSV失败: {e}")
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