378 lines
11 KiB
Plaintext
378 lines
11 KiB
Plaintext
{
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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": 8,
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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": "2023-11-26T12:30:54.402556Z",
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"iopub.status.busy": "2023-11-26T12:30:54.402097Z",
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"iopub.status.idle": "2023-11-26T12:30:54.454920Z",
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"shell.execute_reply": "2023-11-26T12:30:54.453841Z",
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"shell.execute_reply.started": "2023-11-26T12:30:54.402519Z"
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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 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/党建出版社2025.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, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 4).value\n",
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" dict1['unit'] = '党建出版社'\n",
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" dict1['birth'] = sheet.cell(n,3).value\n",
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" dict1['phone'] = sheet.cell(n,5).value\n",
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" person[code] = dict1\n",
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"filename = 'data/党建出版社2025.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": "code",
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"execution_count": 1,
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"id": "9448933d-527c-410d-ba55-4ce1819a8c1e",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-05-28T01:56:09.248016Z",
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"iopub.status.busy": "2025-05-28T01:56:09.247344Z",
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"iopub.status.idle": "2025-05-28T01:56:09.438873Z",
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"shell.execute_reply": "2025-05-28T01:56:09.438386Z",
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"shell.execute_reply.started": "2025-05-28T01:56:09.247957Z"
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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/通用卡.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, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 4).value\n",
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" dict1['birth'] = sheet.cell(n,3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/通用卡.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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"execution": {
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"iopub.execute_input": "2025-05-28T01:57:01.051560Z",
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"iopub.status.busy": "2025-05-28T01:57:01.050181Z",
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"iopub.status.idle": "2025-05-28T01:57:01.063491Z",
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"shell.execute_reply": "2025-05-28T01:57:01.062383Z",
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"shell.execute_reply.started": "2025-05-28T01:57:01.051490Z"
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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/通用卡.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':'编号卡'}\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_编号卡.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": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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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": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-05-30T06:04:13.081538Z",
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"iopub.status.busy": "2025-05-30T06:04:13.080855Z",
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"iopub.status.idle": "2025-05-30T06:04:13.108682Z",
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"shell.execute_reply": "2025-05-30T06:04:13.107978Z",
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"shell.execute_reply.started": "2025-05-30T06:04:13.081474Z"
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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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"60\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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"import datetime\n",
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"import csv\n",
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"from datetime import date\n",
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"import my_module as My\n",
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"\n",
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"filename = 'data/党建出版社2025.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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"filename = 'data/marks_20250530.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"filename = 'data/result_党建出版社2025.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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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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"## 生成测试得分"
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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": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-05-30T06:06:04.468199Z",
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"iopub.status.busy": "2025-05-30T06:06:04.467495Z",
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"iopub.status.idle": "2025-05-30T06:06:04.482491Z",
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"shell.execute_reply": "2025-05-30T06:06:04.481540Z",
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"shell.execute_reply.started": "2025-05-30T06:06:04.468131Z"
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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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"import time\n",
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"import my_module as My\n",
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_党建出版社2025.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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"for k, v in dict2.items():\n",
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" #print(k)\n",
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" if v['sex'] == '男':\n",
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
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" if 'bmi' in v.keys():\n",
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" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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" bmi_data = v['bmi']['成绩']\n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
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" dict2[k]['bmi'] = {}\n",
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" dict2[k]['bmi']['成绩'] = bmi_data\n",
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" dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n",
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" for item_en in list_item:\n",
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" if item_en in v.keys(): \n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
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" #print(k,v['name'])\n",
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" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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"filename = f'data/result_党建出版社2025.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,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": "d034a61d-1fbd-417b-99bd-277e43ebb678",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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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": 3,
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"id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-05-30T06:07:24.191486Z",
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"iopub.status.busy": "2025-05-30T06:07:24.190813Z",
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"iopub.status.idle": "2025-05-30T06:07:24.386100Z",
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"shell.execute_reply": "2025-05-30T06:07:24.385612Z",
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"shell.execute_reply.started": "2025-05-30T06:07:24.191424Z"
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}
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
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"title = ['编号','姓名','性别','单位','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"\n",
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"filename = 'data/result_党建出版社2025.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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"\n",
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"filename = 'data/党建出版社2025.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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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit'])\n",
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" if 'bmi' in v.keys():\n",
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" height = v['bmi']['成绩'].split(',')[0]\n",
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" weight = v['bmi']['成绩'].split(',')[1]\n",
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" list2.append(height)\n",
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" list2.append(weight)\n",
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" else:\n",
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" list2.append('')\n",
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" list2.append('')\n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('')\n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/党建出版社测试情况表2025.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\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": "0db73bab-bd7b-4446-ab8e-432f918288b7",
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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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