594 lines
18 KiB
Plaintext
594 lines
18 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "a4aa8953-df5c-4389-a26b-254f4b07e8ff",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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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": null,
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"id": "a03a5289-9766-4a60-9d38-245deb2ee4e6",
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"metadata": {
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"tags": []
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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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/天宫院街道2024.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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" if sheet.cell(n,1).value is not None:\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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" \n",
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" \n",
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" dict1['sex'] = sheet.cell(n,3).value\n",
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" birth = str(sheet.cell(n, 4).value).split()[0]\n",
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" dict1['birth'] = birth.replace('/','-')\n",
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" \n",
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" person[code] = dict1\n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['phone'] = sheet.cell(n,5).value\n",
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"\n",
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" person[code] = dict1\n",
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"filename = 'data/天宫院街道2024.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": 8,
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"id": "b29a6f3c-035c-4c74-bbac-61e83be2b37c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-11T08:18:28.633340Z",
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"iopub.status.busy": "2024-07-11T08:18:28.632568Z",
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"iopub.status.idle": "2024-07-11T08:18:28.654035Z",
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"shell.execute_reply": "2024-07-11T08:18:28.653382Z",
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"shell.execute_reply.started": "2024-07-11T08:18:28.633268Z"
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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/天宫院街道.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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" if sheet.cell(n,1).value is not None:\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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" person[code] = dict1\n",
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"filename = 'data/天宫院街道all.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": "6c1f6f1a-80cd-4451-a9ad-e706c4df9083",
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"metadata": {},
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"source": [
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"## 生成手工记录插入格式"
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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": "d7302951-5960-4686-808f-7e73aa66e025",
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"metadata": {
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"tags": []
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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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"\n",
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"filename = 'data/天宫院社区人员名单.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/天宫院手工记录成绩.xlsx'\n",
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"wb = openpyxl.load_workbook(filename)\n",
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"sheet = wb.active\n",
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"\n",
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"s = ''\n",
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"place = \"587256\"\n",
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"sql = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = str(sheet.cell(n, 1).value)\n",
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" print(code)\n",
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" if dict1[code]['sex'] == '男':\n",
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" item = 5\n",
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" else:\n",
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" item = 9\n",
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" sj = '2023-04-20 22:00:00'\n",
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" s = f'({place},{code},{item},{sheet.cell(n, 7).value},\"2023-04-20\",0,\"{sj}\")'\n",
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" sql.append(s)\n",
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"s = ','.join(sql)\n",
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"print(s)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "be31057b-a543-4053-9209-307e9a8688c3",
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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": null,
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"id": "db39190f-47d4-4a7c-b727-c79e2a64452f",
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"metadata": {
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"tags": []
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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 time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/天宫院街道2024.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/places_result_20240710.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_天宫院街道2024.json'\n",
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"\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": "code",
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"execution_count": 9,
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"id": "590775c3-16ef-43ad-99a2-85e847fe4079",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-11T08:19:29.653063Z",
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"iopub.status.busy": "2024-07-11T08:19:29.652598Z",
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"iopub.status.idle": "2024-07-11T08:19:29.662479Z",
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"shell.execute_reply": "2024-07-11T08:19:29.661939Z",
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"shell.execute_reply.started": "2024-07-11T08:19:29.653037Z"
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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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"61\n",
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"61\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 csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/天宫院街道all.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/places_result_20240710.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_天宫院街道all.json'\n",
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"\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": "dd96c378-f40c-4c21-b91e-78224a18e105",
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"metadata": {},
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"source": [
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"## 导出测试成绩"
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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": 10,
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"id": "c2ee2c71-7e28-4201-af85-ed7f001c6872",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-11T08:19:59.192307Z",
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"iopub.status.busy": "2024-07-11T08:19:59.191555Z",
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"iopub.status.idle": "2024-07-11T08:19:59.221577Z",
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"shell.execute_reply": "2024-07-11T08:19:59.220830Z",
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"shell.execute_reply.started": "2024-07-11T08:19:59.192234Z"
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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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"101 李先生\n"
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]
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},
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{
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"ename": "KeyError",
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"evalue": "'sex'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[10], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mstr\u001b[39m(k)\u001b[38;5;241m.\u001b[39mrjust(\u001b[38;5;241m3\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m0\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 19\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(v[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m'\u001b[39m]) \n\u001b[0;32m---> 20\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[43mdict2\u001b[49m\u001b[43m[\u001b[49m\u001b[43mk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msex\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m items:\n\u001b[1;32m 24\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m v\u001b[38;5;241m.\u001b[39mkeys():\n",
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"\u001b[0;31mKeyError\u001b[0m: 'sex'"
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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 openpyxl\n",
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"\n",
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"items = ['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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"title = ['编号','姓名','性别','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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"filename = 'data/result_天宫院街道.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/天宫院街道all.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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" print(k,v['name'])\n",
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" list2.append(str(k).rjust(3,'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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" \n",
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" \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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" list1.append(list2)\n",
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"filename = 'data/天宫院社区体测情况表_all.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": 11,
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"id": "ddba1233-6ab2-480d-8bde-ed8e1c34e48e",
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"metadata": {
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"execution": {
|
|
"iopub.execute_input": "2024-07-11T08:20:48.587834Z",
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"iopub.status.busy": "2024-07-11T08:20:48.587065Z",
|
|
"iopub.status.idle": "2024-07-11T08:20:48.615936Z",
|
|
"shell.execute_reply": "2024-07-11T08:20:48.615410Z",
|
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"shell.execute_reply.started": "2024-07-11T08:20:48.587764Z"
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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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"101 李有才\n",
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"44 星众豪\n",
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"94 谢红印\n",
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"14 孙一萂\n",
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"132 梁正文\n",
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"123 刘\n",
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"93 李洪芝\n",
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"71 李羽馨\n",
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"91 孙婧祎\n",
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"8 王红晶\n",
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"126 马\n",
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"125 陈\n",
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"6 刘艳\n",
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"96 薛颖\n",
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"2 刘书本\n",
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"40 杨春华\n",
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"9 霍思诺\n",
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"124 苗\n",
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"128 张\n",
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"78 朱蕊\n",
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"10 李晨曦\n",
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"5 李芳\n",
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"100 聂彦芹\n",
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"4 富红\n",
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"68 冯瑞文\n",
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"108 杨\n",
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"130 徐\n",
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"86 阎树芹\n",
|
|
"83 张万成\n",
|
|
"116 白景香\n",
|
|
"103 王梓涵\n",
|
|
"15 王慧兰\n",
|
|
"36 冯玉红\n",
|
|
"118 王玉芬\n",
|
|
"102 王岩东\n",
|
|
"19 张竹辰\n",
|
|
"38 路德慧\n",
|
|
"111 张\n",
|
|
"37 张影\n",
|
|
"25 孟现春\n",
|
|
"41 朱朝云\n",
|
|
"85 武宜国\n",
|
|
"107 刘连英\n",
|
|
"20 王韵琪\n",
|
|
"7 李雪\n",
|
|
"18 王真秀\n",
|
|
"98 张建霞\n",
|
|
"131 陈艳莉\n",
|
|
"106 沈建新\n",
|
|
"43 杨桂兰\n",
|
|
"127 张\n",
|
|
"39 韩润壮\n",
|
|
"129 薛\n",
|
|
"110 赵\n",
|
|
"79 郭忠臣\n",
|
|
"81 赵淑芬\n",
|
|
"115 朱\n",
|
|
"114 王淑云\n",
|
|
"62 赵秀香\n",
|
|
"31 张成林\n",
|
|
"99 张东喜\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"items = ['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",
|
|
"title = ['编号','姓名','性别','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",
|
|
"filename = 'data/result_天宫院街道all.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"\n",
|
|
"filename = 'data/天宫院街道all.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
" \n",
|
|
"list1 = []\n",
|
|
"for k, v in dict1.items():\n",
|
|
" list2 = []\n",
|
|
" print(k,v['name'])\n",
|
|
" list2.append(str(k).rjust(3,'0'))\n",
|
|
" list2.append(v['name']) \n",
|
|
" \n",
|
|
" for item in items:\n",
|
|
" if item in v.keys():\n",
|
|
" list2.append(v[item]['成绩']) \n",
|
|
" elif item =='name':\n",
|
|
" list2.append(v[item])\n",
|
|
" else:\n",
|
|
" list2.append('') \n",
|
|
" list1.append(list2)\n",
|
|
"filename = 'data/天宫院社区体测情况表_all.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list1:\n",
|
|
" sheet.append(row)\n",
|
|
" \n",
|
|
"wb.save(filename)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "39f2ae5b-c87d-4bb3-bbfb-574899136ed8",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 体测报告更名分组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "852cb395-ac79-4525-bb42-2d5078579a7b",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import math\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"fi_path = 'file/天宫院'\n",
|
|
"old = []\n",
|
|
"fl=os.listdir(fi_path)\n",
|
|
"\n",
|
|
"for fn in fl:\n",
|
|
" if os.path.isfile(fi_path + '/' + fn):\n",
|
|
" ofn = int(fn.split('.')[0])\n",
|
|
" old.append(ofn) \n",
|
|
"old.sort()\n",
|
|
"for n in old: \n",
|
|
" o_name = f'{fi_path}/{n}.pdf'\n",
|
|
" name = dict1[str(n)]['name']\n",
|
|
" n_name = f'{m_path}/{str(n).rjust(3,\"0\")}-{name}.pdf'\n",
|
|
" #print(o_name,n_name)\n",
|
|
" if not os.path.exists(n_name):\n",
|
|
" shutil.copyfile(o_name,n_name)\n",
|
|
" print(n_name)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b8287c5d-c249-4e56-99e6-a7b0865127e0",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成下载文件JSON文件"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "08ce9a37-b40c-4cb7-8c12-f18e2ecfc462",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import math\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/天宫院社区人员名单.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"fi_path = 'file/天宫院'\n",
|
|
"old = []\n",
|
|
"fl=os.listdir(fi_path)\n",
|
|
"\n",
|
|
"for fn in fl:\n",
|
|
" if os.path.isfile(fi_path + '/' + fn):\n",
|
|
" ofn = int(fn.split('.')[0])\n",
|
|
" old.append(ofn) \n",
|
|
"old.sort()\n",
|
|
"dict2 = {}\n",
|
|
"for n in old:\n",
|
|
" if str(n) in dict1.keys() and 'phone' in dict1[str(n)].keys():\n",
|
|
" dict2[n] = {'name':dict1[str(n)]['name'].strip(),'phone':str(dict1[str(n)]['phone']).strip()}\n",
|
|
" \n",
|
|
"filename = 'data/tiangongyuan.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict2, fl, ensure_ascii=False) \n",
|
|
"print('ok') \n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "07d4850a-fccd-4759-b360-3762ada7c5b2",
|
|
"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
|
|
}
|