20231015
This commit is contained in:
512song committed
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
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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": 1,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-14T10:59:21.792059Z",
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"iopub.status.busy": "2023-10-14T10:59:21.791573Z",
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||||||
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"iopub.status.idle": "2023-10-14T10:59:21.924403Z",
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"shell.execute_reply": "2023-10-14T10:59:21.923914Z",
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"shell.execute_reply.started": "2023-10-14T10:59:21.792012Z"
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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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"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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/报名登记表142人.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 = int(sheet.cell(n, 1).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, 3).value\n",
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" dict1['sex'] = sheet.cell(n, 4).value\n",
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" dict1['unit'] = sheet.cell(n, 2).value\n",
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" dict1['birth'] = sheet.cell(n,5).value\n",
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" person[code] = dict1\n",
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"filename = 'data/北京党校.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('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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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": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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"metadata": {
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||||||
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"execution": {
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||||||
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"iopub.execute_input": "2023-10-14T11:00:39.153235Z",
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||||||
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"iopub.status.busy": "2023-10-14T11:00:39.152837Z",
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||||||
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"iopub.status.idle": "2023-10-14T11:00:39.160327Z",
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||||||
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"shell.execute_reply": "2023-10-14T11:00:39.159338Z",
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||||||
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"shell.execute_reply.started": "2023-10-14T11:00:39.153204Z"
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},
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"tags": []
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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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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/北京党校.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_北京党校.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
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"metadata": {},
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"source": [
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"## 手工数据导入数据库"
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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": 4,
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"id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-15T06:15:31.143651Z",
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"iopub.status.busy": "2023-10-15T06:15:31.143188Z",
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"iopub.status.idle": "2023-10-15T06:15:31.160440Z",
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"shell.execute_reply": "2023-10-15T06:15:31.159756Z",
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"shell.execute_reply.started": "2023-10-15T06:15:31.143614Z"
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},
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"tags": []
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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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"[(496534, 6, 5, 32, '2023-10-15', '2023-10-15 14:00:00'), (496534, 39, 5, 12, '2023-10-15', '2023-10-15 14:00:00'), (496534, 105, 5, 22, '2023-10-15', '2023-10-15 14:00:00'), (496534, 136, 5, 20, '2023-10-15', '2023-10-15 14:00:00'), (496534, 110, 5, 53, '2023-10-15', '2023-10-15 14:00:00'), (496534, 144, 5, 11, '2023-10-15', '2023-10-15 14:00:00'), (496534, 87, 5, 45, '2023-10-15', '2023-10-15 14:00:00'), (496534, 71, 5, 22, '2023-10-15', '2023-10-15 14:00:00'), (496534, 153, 5, 16, '2023-10-15', '2023-10-15 14:00:00'), (496534, 158, 5, 23, '2023-10-15', '2023-10-15 14:00:00'), (496534, 150, 5, 28, '2023-10-15', '2023-10-15 14:00:00'), (496534, 140, 5, 16, '2023-10-15', '2023-10-15 14:00:00'), (496534, 138, 5, 35, '2023-10-15', '2023-10-15 14:00:00'), (496534, 137, 5, 30, '2023-10-15', '2023-10-15 14:00:00'), (496534, 377, 5, 59, '2023-10-15', '2023-10-15 14:00:00'), (496534, 131, 5, 55, '2023-10-15', '2023-10-15 14:00:00'), (496534, 76, 5, 52, '2023-10-15', '2023-10-15 14:00:00'), (496534, 14, 5, 25, '2023-10-15', '2023-10-15 14:00:00'), (496534, 88, 5, 29, '2023-10-15', '2023-10-15 14:00:00'), (496534, 115, 5, 30, '2023-10-15', '2023-10-15 14:00:00'), (496534, 78, 5, 57, '2023-10-15', '2023-10-15 14:00:00'), (496534, 103, 5, 67, '2023-10-15', '2023-10-15 14:00:00'), (496534, 148, 5, 10, '2023-10-15', '2023-10-15 14:00:00'), (496534, 54, 5, 57, '2023-10-15', '2023-10-15 14:00:00'), (496534, 35, 5, 21, '2023-10-15', '2023-10-15 14:00:00'), (496534, 42, 5, 39, '2023-10-15', '2023-10-15 14:00:00'), (496534, 45, 5, 50, '2023-10-15', '2023-10-15 14:00:00'), (496534, 95, 5, 36, '2023-10-15', '2023-10-15 14:00:00'), (496534, 122, 5, 51, '2023-10-15', '2023-10-15 14:00:00'), (496534, 74, 5, 27, '2023-10-15', '2023-10-15 14:00:00'), (496534, 63, 5, 62, '2023-10-15', '2023-10-15 14:00:00'), (496534, 100, 5, 20, '2023-10-15', '2023-10-15 14:00:00'), (496534, 162, 5, 30, '2023-10-15', '2023-10-15 14:00:00'), (496534, 43, 5, 50, '2023-10-15', '2023-10-15 14:00:00'), (496534, 149, 5, 49, '2023-10-15', '2023-10-15 14:00:00'), (496534, 127, 5, 16, '2023-10-15', '2023-10-15 14:00:00'), (496534, 62, 5, 21, '2023-10-15', '2023-10-15 14:00:00'), (496534, 40, 5, 10, '2023-10-15', '2023-10-15 14:00:00'), (496534, 53, 5, 24, '2023-10-15', '2023-10-15 14:00:00')]\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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"\n",
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"filename = 'data/北京党校.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"wb = openpyxl.load_workbook('data/北京党校手工数据.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"dict1 = {}\n",
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"dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n",
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"sheet = wb.active\n",
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"data1 =list(sheet.values)\n",
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"del data1[0]\n",
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"list1 = []\n",
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"for item in data1:\n",
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" code = int(item[0])\n",
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" list1.append((496534,code,item[2],item[1],'2023-10-15','2023-10-15 14:00:00'))\n",
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"print(list1)"
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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": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
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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": "3.10.12"
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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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+57
-96
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 158,
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"execution_count": null,
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"id": "25283932-c03a-4a34-a59d-314fc64d8fbd",
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"id": "25283932-c03a-4a34-a59d-314fc64d8fbd",
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"metadata": {
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-13T10:46:27.564722Z",
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"iopub.status.busy": "2023-10-13T10:46:27.564257Z",
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"iopub.status.idle": "2023-10-13T10:46:28.420646Z",
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"shell.execute_reply": "2023-10-13T10:46:28.420116Z",
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"shell.execute_reply.started": "2023-10-13T10:46:27.564686Z"
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},
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"tags": []
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"tags": []
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},
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},
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"outputs": [
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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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"ok\n"
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]
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}
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],
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"source": [
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"source": [
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"import openpyxl\n",
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"import openpyxl\n",
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"import json\n",
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"import json\n",
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 160,
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"execution_count": null,
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"id": "e26b88fc-c75b-4c1e-82ea-5017370afa9b",
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"id": "e26b88fc-c75b-4c1e-82ea-5017370afa9b",
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"metadata": {
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-13T10:46:43.012204Z",
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"iopub.status.busy": "2023-10-13T10:46:43.011994Z",
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"iopub.status.idle": "2023-10-13T10:46:43.424110Z",
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"shell.execute_reply": "2023-10-13T10:46:43.423577Z",
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"shell.execute_reply.started": "2023-10-13T10:46:43.012190Z"
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},
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"tags": []
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"tags": []
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},
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},
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"outputs": [
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{
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"text": [
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]
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}
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],
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"source": [
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"source": [
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"import json\n",
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"import json\n",
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"import time\n",
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"import time\n",
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},
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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": 161,
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"execution_count": null,
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"id": "0a6ea33d-c112-4ed8-9366-3376e55a5731",
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"id": "0a6ea33d-c112-4ed8-9366-3376e55a5731",
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"metadata": {
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-13T10:46:56.465928Z",
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"iopub.status.busy": "2023-10-13T10:46:56.465473Z",
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"iopub.status.idle": "2023-10-13T10:46:58.050547Z",
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"shell.execute_reply": "2023-10-13T10:46:58.050043Z",
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"shell.execute_reply.started": "2023-10-13T10:46:56.465892Z"
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},
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"tags": []
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"tags": []
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},
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},
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"outputs": [],
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"outputs": [],
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 162,
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"execution_count": null,
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"id": "589a5d44-605d-41a1-a981-7ec7258305ed",
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"id": "589a5d44-605d-41a1-a981-7ec7258305ed",
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"metadata": {
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-13T10:47:08.088774Z",
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"iopub.status.busy": "2023-10-13T10:47:08.088563Z",
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"iopub.status.idle": "2023-10-13T10:47:08.185316Z",
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||||||
"shell.execute_reply": "2023-10-13T10:47:08.184845Z",
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||||||
"shell.execute_reply.started": "2023-10-13T10:47:08.088760Z"
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},
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||||||
"tags": []
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"tags": []
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},
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},
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@@ -1811,16 +1766,9 @@
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{
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"id": "2f7c9847-f283-4a09-b385-2c7559be7c7e",
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"execution": {
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"iopub.execute_input": "2023-10-08T07:33:01.133632Z",
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"iopub.status.busy": "2023-10-08T07:33:01.133414Z",
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"iopub.status.idle": "2023-10-08T07:33:01.179672Z",
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"shell.execute_reply": "2023-10-08T07:33:01.179189Z",
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"shell.execute_reply.started": "2023-10-08T07:33:01.133617Z"
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"iopub.execute_input": "2023-10-13T10:47:27.530948Z",
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"iopub.status.idle": "2023-10-13T10:47:27.735957Z",
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"shell.execute_reply": "2023-10-13T10:47:27.735471Z",
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"shell.execute_reply.started": "2023-10-13T10:47:27.530913Z"
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{
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||||||
"name": "stdout",
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"output_type": "stream",
|
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||||||
"text": [
|
|
||||||
"党委党校（培训中心）未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"研究院未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"原油储运部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"烯烃部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"化验计量部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"水务部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"消防支队未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"公司机关未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"装备研究院未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"聚醚部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"电仪部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"运输销售部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"行政事务中心未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"南港乙烯项目管理部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"热电部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"化工部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"南港烯烃部未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"信息档案管理中心未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"物资采购中心未测试人员名单（截至20231013）生产成功！\n",
|
|
||||||
"炼油部未测试人员名单（截至20231013）生产成功！\n"
|
|
||||||
]
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
"source": [
|
||||||
"import json\n",
|
"import json\n",
|
||||||
"import openpyxl\n",
|
"import openpyxl\n",
|
||||||
@@ -1944,10 +1858,57 @@
|
|||||||
" "
|
" "
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "6246f8b0-d9fc-4c9a-8ffa-07bd8dcdc3ed",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## 统计未体测人员明细表"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "756df8f2-70ab-4f7f-9cc7-66c57fd47548",
|
"id": "b7f62515-c45d-4d10-8e94-b5f9a9a98e3f",
|
||||||
|
"metadata": {
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import json\n",
|
||||||
|
"import openpyxl\n",
|
||||||
|
"\n",
|
||||||
|
"filename = 'data/result_天津2023.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict1 = json.load(fl)\n",
|
||||||
|
"\n",
|
||||||
|
"filename = 'data/天津石化人员名单2023.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict2 = json.load(fl)\n",
|
||||||
|
"\n",
|
||||||
|
"list1 = []\n",
|
||||||
|
"\n",
|
||||||
|
"i = 1\n",
|
||||||
|
"for k, v in dict2.items():\n",
|
||||||
|
" \n",
|
||||||
|
" if k not in dict1.keys():\n",
|
||||||
|
" list2 = [i,k,v['name'],unit,v['sub_unit']]\n",
|
||||||
|
" i+=1\n",
|
||||||
|
" list1.append(list2)\n",
|
||||||
|
"filename = f'data/天津石化未测试人员名单.xlsx'\n",
|
||||||
|
"title = ['序号','员工编号','姓名','部门','车间（科室）']\n",
|
||||||
|
"wb = openpyxl.Workbook()\n",
|
||||||
|
"sheet = wb.active\n",
|
||||||
|
"sheet.append(title)\n",
|
||||||
|
"for row in list1:\n",
|
||||||
|
" sheet.append(row) \n",
|
||||||
|
"wb.save(filename)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "0f3c5384-04b0-432a-8800-c7af57ee1131",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
|||||||
Reference in new issue
Block a user