137 lines
3.7 KiB
Plaintext
137 lines
3.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "ce7a7798-b8b7-4564-9e17-3e9c2d4565d8",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "270e8c57-36d3-476c-8c50-4d8bc38a918a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-07T02:09:01.530591Z",
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"iopub.status.busy": "2025-11-07T02:09:01.529883Z",
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"iopub.status.idle": "2025-11-07T02:09:01.667299Z",
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"shell.execute_reply": "2025-11-07T02:09:01.666813Z",
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"shell.execute_reply.started": "2025-11-07T02:09:01.530529Z"
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}
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},
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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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"1287 ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 4).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" dict1['phone'] = str(sheet.cell(n, 7).value)\n",
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" person[code] = dict1\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person),'ok')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "829d9460-a14e-4689-a7c4-d00bbd8c2e32",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-07T02:21:14.683211Z",
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"iopub.status.busy": "2025-11-07T02:21:14.682609Z",
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"iopub.status.idle": "2025-11-07T02:21:14.839810Z",
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"shell.execute_reply": "2025-11-07T02:21:14.839319Z",
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"shell.execute_reply.started": "2025-11-07T02:21:14.683158Z"
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}
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},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"list1 = []\n",
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"list2 = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" if code not in list1:\n",
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" list1.append(code)\n",
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" else:\n",
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" list2.append(code)\n",
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"list3 = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" if code in list2:\n",
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" list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]\n",
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" list3.append(list4)\n",
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"filename = 'data/沧州炼化编号重复人员.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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"for row in list3:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6c1cfb7b-7252-49ff-97f9-399b658ddf38",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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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": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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