711 lines
23 KiB
Plaintext
711 lines
23 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": null,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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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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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/东营老年大学.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'] = '东营老年大学'\n",
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" dict1['birth'] = str(sheet.cell(n, 8).value).replace('/','-').split(' ')[0]\n",
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" if sheet.cell(n,6).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,6).value) \n",
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" person[code] = dict1\n",
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"filename = 'data/东营老年大学.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": "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": null,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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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 datetime\n",
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"import csv\n",
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"from datetime import date\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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"item['1']['en'] = 'lung'\n",
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"item['2']['en'] = 'grip'\n",
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"item['3']['en'] = 'flexion'\n",
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"item['4']['en'] = 'jump'\n",
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"item['5']['en'] = 'pushup'\n",
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"item['6']['en'] = 'balance'\n",
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"item['7']['en'] = 'reaction'\n",
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"item['8']['en'] = 'step'\n",
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"item['9']['en'] = 'situp'\n",
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"item['10']['en'] = 'height'\n",
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"item['11']['en'] = 'weight'\n",
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"\n",
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"\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/东营老年大学.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_20240321.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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"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" rq = date.fromisoformat(result[6].replace('/','-'))\n",
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" if user in dict1.keys():\n",
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" l_xm = []\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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" if 'phone' in dict1[user].keys():\n",
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" re_ta[user]['phone'] = dict1[user]['phone']\n",
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" if dict1[user]['sex'] == '男':\n",
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" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" birth = date.fromisoformat(dict1[user]['birth'])\n",
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" #nian = int(birth[0].strip())\n",
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" #yue = int(birth[1].strip())\n",
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" #ri = int(birth[2].strip())\n",
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" #print(k,nian,yue,ri)\n",
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" item_name = item[m_item]['en'] \n",
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" if item_name in l_xm: \n",
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" days = (rq-birth).days \n",
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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" re_ta[user]['rq'] = result[6]\n",
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"\n",
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"\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_东营老年大学.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": "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": null,
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"id": "0c60a509-dfc0-426a-a44e-e9a760139463",
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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 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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"bmi = ['height','weight']\n",
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"title = ['编号','姓名','性别','身高','体重','bmi','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/727410_pdf.json'\n",
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"with open(filename,'r') as fl:\n",
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" list2 = json.load(fl)\n",
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"\n",
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"list1 = []\n",
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"for xm in list2: \n",
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" list2 = []\n",
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" list2.append(xm['id'].rjust(3,'0'))\n",
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" list2.append(xm['name']) \n",
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" list2.append(xm['gender']) \n",
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" \n",
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" i = 0\n",
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" if 'bmi' in xm['fits'].keys():\n",
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" m_bmi = xm['fits']['bmi']['mark']\n",
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" list2.append(m_bmi.split(',')[0])\n",
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" list2.append(m_bmi.split(',')[1])\n",
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" list2.append(xm['fits']['bmi']['score'])\n",
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" i+=1\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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" list2.append('') \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 xm['fits'].keys():\n",
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" list2.append(xm['fits'][item]['mark'])\n",
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" list2.append(xm['fits'][item]['score']) \n",
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" i+=1\n",
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" #elif item =='name':\n",
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" # list2.append(dict1[k][item])\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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" print(list2)\n",
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" if i>2:\n",
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" list1.append(list2)\n",
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"filename = 'data/东营老年大学体测情况表.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)\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": "d794e69d-9444-4765-9b7d-8dcb0f8c4343",
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"metadata": {},
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"source": [
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"## 导入问卷信息"
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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": "79fb7799-3693-4b7b-ae82-c0d8dee98d36",
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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 csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_东营老年大学.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20240321.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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" list1.append(line)\n",
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"#print(list1)\n",
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"dict2 = {}\n",
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"\n",
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"for item in list1:\n",
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" psy = []\n",
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" tcm = []\n",
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" spine = []\n",
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" for i in range(0,45):\n",
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" psy.append(0)\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" for i in range(0,26):\n",
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" spine.append(0)\n",
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" phone = item[2]\n",
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" for k1, v1 in dict3.items():\n",
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" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
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" dict1[k1] = dict3[k1]\n",
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" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
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"#print(dict1)\n",
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"for item in list1:\n",
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" #print(item)\n",
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" psy = []\n",
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" tcm = []\n",
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" spine = []\n",
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" for i in range(0,45):\n",
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" psy.append(0)\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" for i in range(0,26):\n",
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" spine.append(0)\n",
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" phone = item[2]\n",
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" for k1, v1 in dict1.items():\n",
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" #print((k1,v1))\n",
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" if phone ==v1['phone']: \n",
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" content = json.loads(item[5])\n",
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" #print(content)\n",
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" \n",
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" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
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" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
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" for k, v in content.items():\n",
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" #print('k:',k,'v:',v)\n",
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" if 'psyOld' in k: \n",
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" i = int(k[6:])\n",
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" psy[i-1] = int(v)\n",
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" if 'tcm' in k: \n",
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" i = int(k[3:])\n",
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" tcm[i-1] = int(v)\n",
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" if 'spine' in k:\n",
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" i = int(k[5:])\n",
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" spine[i-1] = int(v)\n",
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" if 'psyOld' in item[5]:\n",
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" #for i in range(5,26):\n",
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" # new_valve = 5-psy[i]\n",
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" # psy[i] = new_valve\n",
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" for i in range(26,40):\n",
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" new_valve = 1+psy[i]\n",
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" psy[i] = new_valve\n",
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" psy[44] = []\n",
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" dict1[k1]['psy'] = psy\n",
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" if 'tcm' in item[5]:\n",
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" if tcm[40] ==0:\n",
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" tcm[40] =1\n",
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" dict1[k1]['tcm'] = tcm\n",
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" if 'spine' in item[5]:\n",
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" for ii in range(25,23,-1):\n",
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" \n",
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" spine[ii] = spine[ii-1]\n",
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" \n",
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" spine[22] = 0\n",
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" \n",
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" \n",
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" \n",
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" dict1[k1]['spine'] = spine\n",
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" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
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"\n",
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" #days = (rq-birth).days \n",
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" #dict1[k1]['age'] = int(days/365)\n",
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" \n",
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" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
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"#print(dict1)\n",
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"filename = 'data/result_东营老年大学1.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False) "
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]
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},
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{
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"cell_type": "markdown",
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"id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581",
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"metadata": {},
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"source": [
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"## 获取问卷人员信息"
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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": "d1d02189-e01a-4d7f-9fbb-09b5e72a38df",
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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 csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_东营老年大学.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20240321.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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" list1.append(line)\n",
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"\n",
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"\n",
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"list2 = []\n",
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"for item in list1:\n",
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" list3 = []\n",
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" phone = item[2]\n",
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" content = json.loads(item[5])\n",
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" name = content['name']\n",
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" gender = content['gender']\n",
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" unit = content['unit']\n",
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" list2.append([name,phone,gender,unit])\n",
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"filename = 'data/东营老年大学问卷人员表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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"for row in list2:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\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": null,
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"id": "eb4091f4-9823-4361-acb2-f3e898f9524b",
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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 csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_东营老年大学.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20240321.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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" list1.append(line)\n",
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"#print(list1)\n",
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"dict2 = {}\n",
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"\n",
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"for item in list1:\n",
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" psy = []\n",
|
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" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict3.items():\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" dict1[k1] = dict3[k1]\n",
|
|
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
|
"#print(dict1)\n",
|
|
"for item in list1:\n",
|
|
" #print(item)\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict1.items():\n",
|
|
" #print((k1,v1))\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" content = json.loads(item[5])\n",
|
|
" #print(content)\n",
|
|
" \n",
|
|
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" for k, v in content.items():\n",
|
|
" #print('k:',k,'v:',v)\n",
|
|
" if 'psyOld' in k: \n",
|
|
" i = int(k[6:])\n",
|
|
" psy[i-1] = int(v)\n",
|
|
" if 'tcm' in k: \n",
|
|
" i = int(k[3:])\n",
|
|
" tcm[i-1] = int(v)\n",
|
|
" if 'spine' in k:\n",
|
|
" i = int(k[5:])\n",
|
|
" spine[i-1] = int(v)\n",
|
|
" if 'psyOld' in item[5]:\n",
|
|
" #for i in range(5,26):\n",
|
|
" # new_valve = 5-psy[i]\n",
|
|
" # psy[i] = new_valve\n",
|
|
" for i in range(26,40):\n",
|
|
" new_valve = 1+psy[i]\n",
|
|
" psy[i] = new_valve\n",
|
|
" psy[44] = []\n",
|
|
" dict1[k1]['psy'] = psy\n",
|
|
" if 'tcm' in item[5]:\n",
|
|
" if tcm[40] ==0:\n",
|
|
" tcm[40] =1\n",
|
|
" dict1[k1]['tcm'] = tcm\n",
|
|
" if 'spine' in item[5]:\n",
|
|
" for ii in range(25,23,-1):\n",
|
|
" \n",
|
|
" spine[ii] = spine[ii-1]\n",
|
|
" \n",
|
|
" spine[22] = 0\n",
|
|
" \n",
|
|
" \n",
|
|
" \n",
|
|
" dict1[k1]['spine'] = spine\n",
|
|
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
|
"\n",
|
|
" #days = (rq-birth).days \n",
|
|
" #dict1[k1]['age'] = int(days/365)\n",
|
|
" \n",
|
|
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
|
"#print(dict1)\n",
|
|
"filename = 'data/result_东营老年大学1.json'\n",
|
|
"\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl, ensure_ascii=False) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "a8dbc7ae-cf00-4591-8572-600c39b37750",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 核对人员成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "ee84a3ce-deb7-4345-a4a4-877872996e1c",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"items = ['bmi','lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
|
|
"bmi = ['height','weight']\n",
|
|
"\n",
|
|
"\n",
|
|
"filename = 'data/727410_pdf.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" list2 = json.load(fl)\n",
|
|
"\n",
|
|
"filename = 'data/result_东营老年大学1.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
" \n",
|
|
"\n",
|
|
"for xm in list2: \n",
|
|
" id = xm['id']\n",
|
|
" if str(id) in dict1.keys():\n",
|
|
" #print(id,xm['name'])\n",
|
|
" for item in xm['fits'].keys():\n",
|
|
" y_score = xm['fits'][item]['score']\n",
|
|
" if item not in dict1[str(id)].keys() or y_score != dict1[str(id)][item]['score']:\n",
|
|
" print(id,xm['name'],item,'no')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e76ef95a-25dc-45f2-8b8c-617acbf546c1",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 更新人员手机号码"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 69,
|
|
"id": "37e24019-9b79-4748-ae6a-2bdb6052862d",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-03-24T08:04:28.111191Z",
|
|
"iopub.status.busy": "2024-03-24T08:04:28.110709Z",
|
|
"iopub.status.idle": "2024-03-24T08:04:28.151253Z",
|
|
"shell.execute_reply": "2024-03-24T08:04:28.149811Z",
|
|
"shell.execute_reply.started": "2024-03-24T08:04:28.111154Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"13375466638 1 13375466638\n",
|
|
"13589432668 2 13589432668\n",
|
|
"13054619993 3 13054619993\n",
|
|
"18554686537 4 18554686537\n",
|
|
"15805460500 5 15805460500\n",
|
|
"13705468382 6 13705468382\n",
|
|
"18654618688 7 18654618688\n",
|
|
"13505466886 9 13505466886\n",
|
|
"13361529316 10 13361529316\n",
|
|
"18654605758 11 18654605758\n",
|
|
"13963369251 12 13963369251\n",
|
|
"13854666193 13 13854666193\n",
|
|
"13963381767 14 13963381767\n",
|
|
"13562277783 15 13562277783\n",
|
|
"13854664965 16 13854664965\n",
|
|
"18506464679 17 18506464679\n",
|
|
"18865467010 18 18865467010\n",
|
|
"18505460998 19 18505460998\n",
|
|
"15266083778 20 15266083778\n",
|
|
"15865469239 21 15865469239\n",
|
|
"15154607897 22 15154607897\n",
|
|
"13963359091 23 13963359091\n",
|
|
"13685469953 24 13685469953\n",
|
|
"18615463569 25 18615463569\n",
|
|
"13518666896 27 13518666896\n",
|
|
"13668615983 28 13668615983\n",
|
|
"13562269069 29 13562269069\n",
|
|
"15066075216 30 15066075216\n",
|
|
"18754687658 31 18754687658\n",
|
|
"13668618731 32 18254610712\n",
|
|
"15552721566 33 15552721566\n",
|
|
"18678690907 34 18678690907\n",
|
|
"13082610996 35 13082610996\n",
|
|
"13563351026 36 13563351026\n",
|
|
"13506369296 37 13506369296\n",
|
|
"13589986263 38 13589986263\n",
|
|
"13589996697 39 13589996697\n",
|
|
"18905465618 40 18905465618\n",
|
|
"18954035397 41 18954035397\n",
|
|
"13906472659 42 13906472659\n",
|
|
"15618032716 43 15618032716\n",
|
|
"18661382930 44 18661382930\n",
|
|
"13505465335 45 13505465335\n",
|
|
"13854622388 47 13854622388\n",
|
|
"13589961161 48 13589961161\n",
|
|
"18860657259 49 18860657259\n",
|
|
"13963358011 50 13963358011\n",
|
|
"13605466080 51 13605466080\n",
|
|
"13505461565 53 13505461565\n",
|
|
"15550539718 54 15550539718\n",
|
|
"15698085191 55 15698985191\n",
|
|
"18562110866 56 1856210866\n",
|
|
"13376472932 58 13376472932\n",
|
|
"18653690626 59 18653690626\n",
|
|
"13515466253 60 13515466253\n",
|
|
"13054652092 61 13054652092\n",
|
|
"13280380156 62 13280380156\n",
|
|
"18254621588 63 18254621588\n",
|
|
"13854620482 65 13854620482\n",
|
|
"13376473932 66 13376473932\n",
|
|
"18654335533 67 18654335533\n",
|
|
"16605466518 68 16605466518\n",
|
|
"13706364787 69 13706364787\n",
|
|
"ok\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"filename = 'data/东营老年大学.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"\n",
|
|
"wb = openpyxl.load_workbook('data/东营老年大学电话.xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"person = {}\n",
|
|
"\n",
|
|
"for n in range(2, sheet.max_row+1):\n",
|
|
" code = str(sheet.cell(n, 3).value)\n",
|
|
" phone = sheet.cell(n, 1).value\n",
|
|
" if code in dict1.keys():\n",
|
|
" print(phone,code,dict1[code]['phone'])\n",
|
|
" dict1[code]['phone'] = phone\n",
|
|
" \n",
|
|
" \n",
|
|
"filename = 'data/东营老年大学.json'\n",
|
|
"with open(filename, 'w') as fl:\n",
|
|
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "26ef04ee-fdf4-40de-a3ed-30cba6525f06",
|
|
"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": "3.10.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|