104 lines
3.9 KiB
Plaintext
104 lines
3.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"11月—维修领料配件财务审统计表（汇总）已删除需减产值的.xls\n",
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"4月维修领料配件财务审统计表（汇总）.xls\n",
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"5月材料同捷+畅天.xls\n",
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"报表---维修领料配件财务审统计表.xls\n",
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"报表--维修领料配件财务审统计表.xls\n",
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"报表-维修领料配件财务审统计表--汇总.xls\n",
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"报表-维修领料配件财务审统计表-汇总.xls\n",
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"报表-维修领料配件财务审统计表.xls\n",
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"报表-维修领料配件财务审统计表0228.xls\n",
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"报表-维修领料配件财务审统计表10..xls\n",
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"报表-维修领料配件财务审统计表10.xls\n",
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"报表-维修领料配件财务审统计表11.xls\n",
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"报表-维修领料配件财务审统计表12(4).xls\n",
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"报表-维修领料配件财务审统计表12月.xls\n",
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"报表-维修领料配件财务审统计表2019.xls\n",
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"报表-维修领料配件财务审统计表202001.xls\n",
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"报表-维修领料配件财务审统计表2021年9月.xls\n",
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"报表-维修领料配件财务审统计表202201.xls\n",
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"报表-维修领料配件财务审统计表331.xls\n",
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"报表-维修领料配件财务审统计表3月.xls\n",
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"报表-维修领料配件财务审统计表5.xls\n",
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"报表-维修领料配件财务审统计表6.xls\n",
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"报表-维修领料配件财务审统计表7.xls\n",
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"报表-维修领料配件财务审统计表8.xls\n",
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"报表-维修领料配件财务审统计表9.xls\n",
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"报表-维修领料配件财务审统计表—12月汇总.xls\n",
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"汇总----维修领料配件财务审统计表.xls\n",
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"汇总-维修领料配件财务审统计表.xls\n",
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"汇总-维修领料配件财务审统计表2月.xls\n",
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"汇总6月报表-维修领料配件财务审统计表.xls\n",
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"汇总7月报表-维修领料配件财务审统计表.xls\n",
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"汇总报表-维修领料配件财务审统计表.xls\n",
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"汇总报表.-维修领料配件财务审统计表.xls\n",
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"维修领料配件财务审统计表-2月.xls\n",
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"维修领料配件财务审统计表—10月汇总.xls\n",
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"维修领料配件财务审统计表—汇总.xls\n",
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"！维修领料配件财务审统计表-汇总一下.xls\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"<ipython-input-2-d7b0f52d1f5d>:18: UserWarning: Pandas requires version '1.4.3' or newer of 'xlsxwriter' (version '1.3.8' currently installed).\n",
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" merged_df.to_excel(output_file, index=False)\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import os\n",
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"\n",
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"folder_path = r'C:\\Users\\admin\\Desktop\\历史记录(1)\\材料'\n",
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"excel_files = [f for f in os.listdir(folder_path) if f.endswith('.xlsx') or f.endswith('.xls')]\n",
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"\n",
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"# 读取每个Excel文件并将其存储在一个列表中\n",
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"dataframes = []\n",
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"for file in excel_files:\n",
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" print(file)\n",
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" file_path = os.path.join(folder_path, file)\n",
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" df = pd.read_excel(file_path)\n",
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" dataframes.append(df)\n",
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"\n",
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"merged_df = pd.concat(dataframes, ignore_index=True)\n",
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"\n",
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"output_file = '合并后材料.xlsx'\n",
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"merged_df.to_excel(output_file, index=False)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "F6processing",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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