{ "cells": [ { "cell_type": "markdown", "id": "ce7a7798-b8b7-4564-9e17-3e9c2d4565d8", "metadata": {}, "source": [ "## 体测人员导入" ] }, { "cell_type": "code", "execution_count": 18, "id": "270e8c57-36d3-476c-8c50-4d8bc38a918a", "metadata": { "execution": { "iopub.execute_input": "2025-11-09T05:35:45.149501Z", "iopub.status.busy": "2025-11-09T05:35:45.148976Z", "iopub.status.idle": "2025-11-09T05:35:45.291101Z", "shell.execute_reply": "2025-11-09T05:35:45.290596Z", "shell.execute_reply.started": "2025-11-09T05:35:45.149453Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1299 ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "from datetime import date\n", "\n", "wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " code = sheet.cell(n, 2).value\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 4).value\n", " dict1['sex'] = sheet.cell(n, 5).value\n", " dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n", " dict1['unit'] = sheet.cell(n, 3).value\n", " dict1['phone'] = str(sheet.cell(n, 7).value)\n", " person[code] = dict1\n", "filename = 'data/沧州炼化人员.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print(len(person),'ok')" ] }, { "cell_type": "code", "execution_count": 9, "id": "829d9460-a14e-4689-a7c4-d00bbd8c2e32", "metadata": { "execution": { "iopub.execute_input": "2025-11-07T08:37:47.436725Z", "iopub.status.busy": "2025-11-07T08:37:47.435955Z", "iopub.status.idle": "2025-11-07T08:37:47.582958Z", "shell.execute_reply": "2025-11-07T08:37:47.582377Z", "shell.execute_reply.started": "2025-11-07T08:37:47.436655Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[['1553904', '孙建国', '物资采购中心'], ['1553904', '张巍', '应急救援中心']]\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "from datetime import date\n", "\n", "wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "list1 = []\n", "list2 = []\n", "for n in range(2, sheet.max_row+1):\n", " code = sheet.cell(n, 2).value\n", " if code not in list1:\n", " list1.append(code)\n", " else:\n", " list2.append(code)\n", "list3 = []\n", "for n in range(2, sheet.max_row+1):\n", " code = sheet.cell(n, 2).value\n", " if code in list2:\n", " list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]\n", " list3.append(list4)\n", "print(list3)\n", "filename = 'data/沧州炼化编号重复人员.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list3:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "code", "execution_count": null, "id": "6c1cfb7b-7252-49ff-97f9-399b658ddf38", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 19, "id": "7b6c8cb8-50ab-4b59-ac9a-6afb3db61476", "metadata": { "execution": { "iopub.execute_input": "2025-11-09T05:35:48.182110Z", "iopub.status.busy": "2025-11-09T05:35:48.181365Z", "iopub.status.idle": "2025-11-09T05:35:48.197106Z", "shell.execute_reply": "2025-11-09T05:35:48.196434Z", "shell.execute_reply.started": "2025-11-09T05:35:48.182041Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1297 ok\n" ] } ], "source": [ "import json\n", "\n", "filename = 'data/沧州炼化人员.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "for k, v in dict1.items():\n", " dict2 = {}\n", " #if dict1['sex'] =='男':\n", " # sex = 1\n", " \n", " dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n", " list1.append(dict2)\n", "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", "\n", "# 将 json 数据写入文件\n", "with open(\"data/card_沧州炼化人员.json\", \"w\",encoding = 'utf-8') as file:\n", " file.write(json_data) \n", "print(len(list1),'ok')" ] }, { "cell_type": "code", "execution_count": null, "id": "9148dcb7-ccaf-46f5-8390-ebe702ed4c02", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }