{
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     "text": [
      "c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
      "c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n",
      "c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.21-gcc_10_3_0.dll\n",
      "  warnings.warn(\"loaded more than 1 DLL from .libs:\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11月—维修产值财务审统计表（汇总）已删除需减产值的.xls\n",
      "4月维修产值财务审统计表（汇总）.xls\n",
      "5月产值同捷+畅天.xls\n",
      "报表---维修产值财务审统计表.xls\n",
      "报表--维修产值财务审统计表.xls\n",
      "报表-维修产值财务审统计表--汇总.xls\n",
      "报表-维修产值财务审统计表-汇总.xls\n",
      "报表-维修产值财务审统计表.xls\n",
      "报表-维修产值财务审统计表0228.xls\n",
      "报表-维修产值财务审统计表10..xls\n",
      "报表-维修产值财务审统计表10.xls\n",
      "报表-维修产值财务审统计表11.xls\n",
      "报表-维修产值财务审统计表12月.xls\n",
      "报表-维修产值财务审统计表2019.xls\n",
      "报表-维修产值财务审统计表202101.xls\n",
      "报表-维修产值财务审统计表2021年9月.xls\n",
      "报表-维修产值财务审统计表202201.xls\n",
      "报表-维修产值财务审统计表331.xls\n",
      "报表-维修产值财务审统计表3月.xls\n",
      "报表-维修产值财务审统计表5.xls\n",
      "报表-维修产值财务审统计表6.xls\n",
      "报表-维修产值财务审统计表7.xls\n",
      "报表-维修产值财务审统计表8.xls\n",
      "报表-维修产值财务审统计表9.xls\n",
      "报表-维修产值财务审统计表—12月汇总.xls\n",
      "汇总----维修产值财务审统计表.xls\n",
      "汇总-维修产值财务审统计表.xls\n",
      "汇总-维修产值财务审统计表2月.xls\n",
      "汇总6月报表-维修产值财务审统计表.xls\n",
      "汇总7月报表-维修产值财务审统计表.xls\n",
      "汇总报表-维修产值财务审统计表.xls\n",
      "汇总报表.-维修产值财务审统计表.xls\n",
      "维修产值财务审统计表-2月.xls\n",
      "维修产值财务审统计表—10月汇总.xls\n",
      "维修产值财务审统计表—汇总.xls\n",
      "！维修产值财务审统计表-汇总一下.xls\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-1-225ed455547c>:18: UserWarning: Pandas requires version '1.4.3' or newer of 'xlsxwriter' (version '1.3.8' currently installed).\n",
      "  merged_df.to_excel(output_file, index=False)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "\n",
    "folder_path = r'C:\\Users\\admin\\Desktop\\历史记录(1)\\产值'\n",
    "excel_files = [f for f in os.listdir(folder_path) if f.endswith('.xlsx') or f.endswith('.xls')]\n",
    "\n",
    "# 读取每个Excel文件并将其存储在一个列表中\n",
    "dataframes = []\n",
    "for file in excel_files:\n",
    "    print(file)\n",
    "    file_path = os.path.join(folder_path, file)\n",
    "    df = pd.read_excel(file_path)\n",
    "    dataframes.append(df)\n",
    "\n",
    "merged_df = pd.concat(dataframes, ignore_index=True)\n",
    "\n",
    "output_file = '合并后产值.xlsx'\n",
    "merged_df.to_excel(output_file, index=False)"
   ]
  }
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