{ "cells": [ { "cell_type": "markdown", "id": "0deffb8b-6ff0-4a87-b733-08dde1494994", "metadata": {}, "source": [ "## 杨庙人员信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "c4bd7851-d612-4387-a8b2-5173eac8f866", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/杨庙社区居民信息表20230801（系统导入版）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 2).value\n", " dict1['sex'] = sheet.cell(n, 3).value\n", " birth = str(sheet.cell(n, 4).value).split()[0]\n", " dict1['birth'] = birth \n", " person[code] = dict1\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "fc2c5182-e10c-45eb-841d-d6083ddfde53", "metadata": {}, "source": [ "## 检测问卷编号重复" ] }, { "cell_type": "code", "execution_count": null, "id": "b8eff79b-3c8c-45e3-8127-6e863008ad4a", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/杨庙问卷统计表（老年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {}\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "list1 = []\n", "for item in list_bh:\n", " if item not in list1:\n", " list1.append(item)\n", " else:\n", " print(item)\n", " " ] }, { "cell_type": "markdown", "id": "26d77f4b-6ba1-45b3-8955-9ae481b9ae9c", "metadata": {}, "source": [ "## 导入手工体测数据" ] }, { "cell_type": "code", "execution_count": null, "id": "ccfac27a-b255-4263-9ce0-c606d82f6473", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/杨庙手工数据（数据库）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "del data1[0]\n", "list1 = []\n", "for item in data1:\n", " code = item[0]\n", " if str(code) in dict2.keys():\n", " for i in range(1,8):\n", " if item[i] is not None:\n", " list1.append((141,code,dict3[i],item[i],'2023-08-03','2023-08-03 12:00:00'))\n", "print(list1)\n", " " ] }, { "cell_type": "markdown", "id": "e4bbd0db-090b-4252-ae27-d9e589f97992", "metadata": {}, "source": [ "## 导出体测信息" ] }, { "cell_type": "code", "execution_count": null, "id": "e77ef529-0522-4f8d-a4d3-9f62a69f6cc6", "metadata": {}, "outputs": [], "source": [ "import json\n", "import datetime\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "item['1']['en'] = 'lung'\n", "item['2']['en'] = 'grip'\n", "item['3']['en'] = 'flexion'\n", "item['6']['en'] = 'balance'\n", "item['7']['en'] = 'reaction'\n", "item['10']['en'] = 'height'\n", "item['11']['en'] = 'weight'\n", "#print(item)\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230803.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['birth'] = dict1[user]['birth']\n", " item_name = item[str(m_item)]['en']\n", " re_ta[user].setdefault(item_name,{}) \n", " performance = int(result[4])/item[m_item]['divisor']\n", " score = result[5]\n", " re_ta[user][item_name]['成绩'] = performance\n", " re_ta[user][item_name]['得分'] = score\n", "list2 = ['grip','lung','balance','reaction','flexion']\n", "list3 = []\n", "for k, v in re_ta.items():\n", " dict2 = {}\n", " dict2['id'] = int(k)\n", " dict2['title'] = '杨庙社区'\n", " dict2['subtitle'] = ''\n", " dict2['name'] = v['name']\n", " if v['sex'] == '男':\n", " dict2['gender'] = 'male'\n", " else:\n", " dict2['gender'] = 'female'\n", " birth = v['birth'].split()[0].split('-') \n", " nian = int(birth[0].strip())\n", " yue = int(birth[1].strip())\n", " ri = int(birth[2].strip())\n", " #print(k,nian,yue,ri)\n", " days = (datetime.date(2023, 7, 31)-datetime.date(nian,yue,ri)).days\n", " dict2['month'] = int(days/30)\n", " dict3 = {} \n", " for xm in list2:\n", " if xm in v.keys():\n", " dict3[xm] = {'mark':str(v[xm]['成绩']),'score':int(v[xm]['得分'])}\n", " if 'height' in v.keys():\n", " dict3['bmi'] = {'mark':str(v['height']['成绩'])+','+str(v['weight']['成绩']),'score':int(v['weight']['得分'])}\n", " dict2['fit'] = dict3\n", " list3.append(dict2)\n", "print(list3) \n", " \n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "e81e3731-1376-4f9d-87fb-83ba1e498047", "metadata": {}, "outputs": [], "source": [ "import json\n", "import datetime\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "item['1']['en'] = 'lung'\n", "item['2']['en'] = 'grip'\n", "item['3']['en'] = 'flexion'\n", "item['6']['en'] = 'balance'\n", "item['7']['en'] = 'reaction'\n", "item['10']['en'] = 'height'\n", "item['11']['en'] = 'weight'\n", "#print(item)\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230803.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['birth'] = dict1[user]['birth']\n", " item_name = item[str(m_item)]['en']\n", " re_ta[user].setdefault(item_name,{}) \n", " performance = int(result[4])/item[m_item]['divisor']\n", " score = result[5]\n", " re_ta[user][item_name]['成绩'] = performance\n", " re_ta[user][item_name]['得分'] = score\n", "list2 = ['grip','lung','balance','reaction','flexion']\n", "list3 = []\n", "result = {}\n", "for k, v in re_ta.items():\n", " dict2 = {}\n", " dict2['id'] = int(k)\n", " dict2['title'] = '杨庙社区'\n", " dict2['subtitle'] = ''\n", " dict2['name'] = v['name']\n", " if v['sex'] == '男':\n", " dict2['gender'] = 'male'\n", " else:\n", " dict2['gender'] = 'female'\n", " birth = v['birth'].split()[0].split('-') \n", " nian = int(birth[0].strip())\n", " yue = int(birth[1].strip())\n", " ri = int(birth[2].strip())\n", " #print(k,nian,yue,ri)\n", " days = (datetime.date(2023, 7, 31)-datetime.date(nian,yue,ri)).days\n", " dict2['month'] = int(days/30)\n", " dict3 = {} \n", " for xm in list2:\n", " if xm in v.keys():\n", " mark = v[xm]['成绩']\n", " if xm == 'lung':\n", " mark = int(mark)\n", " \n", " dict3[xm] = {'mark':str(mark),'score':int(v[xm]['得分'])}\n", " if 'height' in v.keys():\n", " dict3['bmi'] = {'mark':str(v['height']['成绩'])+','+str(v['weight']['成绩']),'score':int(v['weight']['得分'])}\n", " dict2['fit'] = dict3\n", " result[k] = dict2\n", "\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'w') as fl:\n", " json.dump(result, fl) \n", "print('ok') " ] }, { "cell_type": "markdown", "id": "0c6da346-3406-40ad-a44a-0a47c0d6112a", "metadata": {}, "source": [ "## 规范身高体重" ] }, { "cell_type": "code", "execution_count": null, "id": "a814c55f-30af-4260-8885-3a6295a48fd7", "metadata": {}, "outputs": [], "source": [ "import json\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k, v in dict1.items():\n", " if 'bmi' in v['fit'].keys():\n", " old = v['fit']['bmi']['mark']\n", " height = old.split(',')[0]\n", " weight = old.split(',')[1]\n", " w = round(float(weight),1)\n", " v['fit']['bmi']['mark'] = height+','+str(w)\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) \n", "print('ok') " ] }, { "cell_type": "markdown", "id": "1ddd3641-94bf-4994-84da-8d97286cbfeb", "metadata": {}, "source": [ "## 问卷信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "1c56c463-2f13-4f74-bb3a-760b284360bf", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/杨庙问卷统计表（老年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {}\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "#print(list_bh)\n", "del data1[0]\n", "for i in range(1,len(list_bh)+1):\n", " list2 = []\n", " \n", " for item in data1:\n", " list2.append(item[i])\n", " dict1[list_bh[i-1]] = list2\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "for k,v in dict1.items():\n", " if str(k) in dict2.keys():\n", " if v[0] is not None:\n", " psy_yangmiao_old = v[:30]\n", " #dict2[str(k)]['psy_yangmiao_old'] = psy_yangmiao_old\n", " if v[30] is not None:\n", " tcm = v[30:90]\n", " #print(tcm,len(tcm))\n", " if v[90] is not None:\n", " spine = v[90:]\n", " xx22 = spine[21]\n", " xx23 = spine[22]\n", " spine[21] = xx23\n", " spine[22] = xx22\n", " \n", " dict2[str(k)]['psy_yangmiao_old'] = psy_yangmiao_old\n", " dict2[str(k)]['tcm'] = tcm\n", " dict2[str(k)]['spine'] = spine\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2, fl, ensure_ascii=False) \n", "print('ok') " ] }, { "cell_type": "markdown", "id": "77995e6a-86e4-49bb-a937-de38e13f1bd4", "metadata": {}, "source": [ "## 单份报告生成" ] }, { "cell_type": "code", "execution_count": null, "id": "edcd9c2d-7254-493d-82e0-55556700330b", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "\n", "mydata ={\"path\":\"./于先生体测报告.pdf\",\n", " \"id\":\"00001\",\n", " \"title\":\"社区测试报告\",\n", " \"name\":\"于先生\",\n", " \"gender\":\"male\",\n", " \"month\":725,\n", " \"fit\":{\"grip\":{\"mark\":\"40.9\",\"score\":2},\n", " \"bmi\":{\"mark\":\"181.2,81.3\",\"score\":5},\n", " \"lung\":{\"mark\":\"4590\",\"score\":5},\n", " \"balance\":{\"mark\":\"57.2\",\"score\":4},\n", " \"reaction\":{\"mark\":\"0.466\",\"score\":4},\n", " \"flexion\":{\"mark\":\"-11.6\",\"score\":0},\n", " \"jump\":{\"mark\":\"26.3\",\"score\":2},\n", " \"pushup\":{\"mark\":\"3\",\"score\":1},\n", " \"step\":{\"mark\":\"43\",\"score\":1}\n", " },\n", " \"surveys\":{\"tcm\":[3,3,3,2,2,3,1,3,3,1,1,2,3,4,1,1,2,3,4,1,2,4,2,2,4,5,5,3,1,3,3,2,3,4,3,3,2,3,3,3,3,2,4,3,5,2,3,3,2,1,3,4,3,3,3,3,1,1,2,3],\"psy_yangmiao_old\":[3,3,2,3,3,3,4,4,4,1,4,4,4,4,5,5,5,3,4,3,3,4,4,3,4,4,3,4,3,3],\"spine\":[1,2,1,2,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,2,2,2,1,2]}}\n", "print(type(json.dumps(mydata)))\n", "x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n", "print(x.text)" ] }, { "cell_type": "code", "execution_count": null, "id": "0b528b37-18f5-4b05-bfad-73be35b120cc", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "\n", "mydata ={\"path\":\"./00343-殷焕章.pdf\",\n", " \"id\":\"00343\",\n", " \"title\":\"东营羊庙社区\",\n", " \"name\":\"殷焕章\",\n", " \"gender\":\"male\",\n", " \"month\":992,\n", " \"fit\":{\"grip\":{\"mark\":\"20.6\",\"score\":0},\n", " \"bmi\":{\"mark\":\"160.4,60.0\",\"score\":5},\n", " \"lung\":{\"mark\":\"1703\",\"score\":1},\n", " \"balance\":{\"mark\":\"3.9\",\"score\":2},\n", " \"reaction\":{\"mark\":\"1.519\",\"score\":0},\n", " \"flexion\":{\"mark\":\"8.9\",\"score\":4}\n", " }\n", " }\n", "print(type(json.dumps(mydata)))\n", "x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n", "print(x.text)" ] }, { "cell_type": "markdown", "id": "27068dd5-8312-45c3-bbff-9f21646e895b", "metadata": {}, "source": [ "## 报告生成" ] }, { "cell_type": "code", "execution_count": null, "id": "7ad7eb19-d49d-4f28-b7f7-4776bf443946", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "fiie_path ='./141/'\n", "dict2 = {}\n", "list1 = []\n", "for k, v in dict1.items():\n", " mydata = {}\n", " \n", " id = str(k).rjust(5,\"0\")\n", " mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '东营杨庙社区'\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " mydata['gender'] = v['gender'] \n", " mydata['month'] = v['month']\n", " if 'fit' in v.keys():\n", " dict2 = {}\n", " for k1, v1 in v['fit'].items():\n", " dict2[k1] = v1\n", " mydata['fit'] = dict2\n", " #data['surveys'] = {}\n", " for item in ('tcm','psy_yangmiao_old','spine'):\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " dict2 = {} \n", " mydata['surveys'][item] = v[item]\n", " list1.append(mydata) \n", " #x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #x.close()\n", " #if k =='218':\n", " # print(mydata)\n", "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", "\n", "# 将 json 数据写入文件\n", "with open(\"data1.json\", \"w\",encoding = 'utf-8') as file:\n", " file.write(json_data) \n", " \n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "6a01e1b1-778b-4dc8-99e5-f597f10f30a1", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import time\n", "from pathlib import Path\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "file_path ='/home/songyi/pdf-typescript-master/141/'\n", "dict2 = {}\n", "list1 = []\n", "for k, v in dict1.items():\n", " id = str(k).rjust(5,\"0\")\n", " fn = file_path+id+'-'+ v['name']+'.pdf'\n", " \n", " mydata = {}\n", " \n", " id = str(k).rjust(5,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '东营杨庙社区'\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " mydata['gender'] = v['gender'] \n", " mydata['month'] = v['month']\n", " if 'fit' in v.keys():\n", " dict2 = {}\n", " for k1, v1 in v['fit'].items():\n", " dict2[k1] = v1\n", " mydata['fit'] = dict2\n", " #data['surveys'] = {}\n", " for item in ('tcm','psy_yangmiao_old','spine'):\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " dict2 = {} \n", " mydata['surveys'][item] = v[item]\n", " \n", " x = requests.post('http://10.11.12.4:3003', data = json.dumps(mydata), headers=headers)\n", " print(id,v['name'],x.text)\n", " x.close()\n", " time.sleep(0.05)\n", " #if k =='218':\n", " # print(mydata)" ] }, { "cell_type": "markdown", "id": "4e80d173-8cba-46d0-86fd-4c031a649a00", "metadata": {}, "source": [ "## 生成报告人员信息" ] }, { "cell_type": "code", "execution_count": 47, "id": "6f69631c-e2d7-431b-8114-c4bb45e394e7", "metadata": { "execution": { "iopub.execute_input": "2024-01-18T11:50:16.920972Z", "iopub.status.busy": "2024-01-18T11:50:16.920504Z", "iopub.status.idle": "2024-01-18T11:50:17.016239Z", "shell.execute_reply": "2024-01-18T11:50:17.015740Z", "shell.execute_reply.started": "2024-01-18T11:50:16.920935Z" } }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "\n", "list1 = []\n", "for k, v in dict1.items():\n", " id = str(k).rjust(5,\"0\")\n", " \n", " name = v['name']\n", " sex = dict2[k]['sex']\n", " birth = dict2[k]['birth']\n", " list1.append([id,name,sex,birth])\n", "filename = 'data/杨庙测试2023年8月人员明细表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list1:\n", " sheet.append(row)\n", "wb.save(filename)" ] }, { "cell_type": "code", "execution_count": null, "id": "d46d6331-dc3a-4ed5-b2cd-995e467f8ac0", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "8d2be337-20e9-47e1-a8fa-6a35350b37bb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "aa34d7f2-9b6c-42c8-b777-60cc0c48a3a3", "metadata": {}, "source": [ "## 统计报告页数" ] }, { "cell_type": "code", "execution_count": null, "id": "ed2f8014-57c7-40d1-979f-f2d4818c748b", "metadata": {}, "outputs": [], "source": [ "import pdfplumber\n", "import glob\n", "\n", "file_path ='/home/songyi/pdf-typescript-master/141/'\n", "fls=glob.glob('/home/songyi/pdf-typescript-master/141/*.pdf')\n", "n = 0\n", "for fl in fls:\n", " pdf = pdfplumber.open(fl)\n", " n= n+len(pdf.pages)\n", " print(fl,len(pdf.pages))\n", "print(n)" ] }, { "cell_type": "markdown", "id": "6a867a50-3a97-47c3-8805-0b39b1137173", "metadata": {}, "source": [ "## 导入202303月体测信息" ] }, { "cell_type": "code", "execution_count": null, "id": "2bafc0b8-e849-4be7-8438-ba9fd2b87870", "metadata": {}, "outputs": [], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230812.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys():\n", " \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['部门'] = dict1[user]['unit']\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", " re_ta[user][item_name]['得分'] = result[5]\n", "print(len(re_ta))\n", "filename = 'data/result_杨庙社区2303.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "761bd7a5-ef80-4fb9-b64e-983c8e788e2c", "metadata": {}, "source": [ "## 对应两次测试信息" ] }, { "cell_type": "code", "execution_count": null, "id": "c4da3291-ebec-4fc9-aaa0-6ecf836c5ff2", "metadata": {}, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "dict4 = {\n", " 'lung':'肺活量',\n", " 'grip':'握力',\n", " 'flexion' : '坐位体前屈',\n", " 'balance' : '单脚站立',\n", " 'reaction' : '选择反应时'\n", "}\n", "\n", "wb = openpyxl.load_workbook('data/副本杨庙测试2023年8月报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = str(sheet.cell(n, 1).value) \n", " dict1[code] = str(sheet.cell(n, 3).value) \n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "filename = 'data/result_杨庙社区2303.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl) \n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(k)\n", " list2.append(dict2[k]['name'])\n", " list2.append(dict2[k]['gender'])\n", " list2.append(dict3[dict1[k]]['部门'])\n", " for item in items:\n", " if item == 'bmi' and item in dict2[k]['fit'].keys():\n", " list2.append(dict2[k]['fit'][item]['mark'].split(',')[0])\n", " if '身高' in dict3[dict1[k]].keys():\n", " list2.append(dict3[dict1[k]]['身高']['成绩'])\n", " else:\n", " list2.append('') \n", " list2.append(dict2[k]['fit'][item]['mark'].split(',')[1])\n", " if '体重' in dict3[dict1[k]].keys():\n", " list2.append(dict3[dict1[k]]['体重']['成绩'])\n", " else:\n", " list2.append('')\n", " if item != 'bmi' and item in dict2[k]['fit'].keys():\n", " list2.append(dict2[k]['fit'][item]['mark'])\n", " if dict4[item] in dict3[dict1[k]].keys():\n", " list2.append(dict3[dict1[k]][dict4[item]]['成绩'])\n", " else:\n", " list2.append('') \n", " list1.append(list2)\n", "print(list1)\n", "filename = 'data/杨庙测试人员测试对比信息表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list1:\n", " sheet.append(row)\n", "wb.save(filename) " ] }, { "cell_type": "markdown", "id": "2ae502e4-e8ec-4786-8593-ca8835c0b215", "metadata": {}, "source": [ "## 分析三月数据" ] }, { "cell_type": "code", "execution_count": 26, "id": "bc0e659e-b072-4ffc-9a9f-951c61ad22b9", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:12:02.250010Z", "iopub.status.busy": "2023-10-10T11:12:02.249552Z", "iopub.status.idle": "2023-10-10T11:12:02.315587Z", "shell.execute_reply": "2023-10-10T11:12:02.314268Z", "shell.execute_reply.started": "2023-10-10T11:12:02.249973Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "体重平均成绩：3.6196分，男性：184人\n", "体重平均成绩：3.6765分，女性：204人\n", "体重平均成绩：3.6495分，总体：388人\n", "肺活量平均成绩：1.8865分，男性：185人\n", "肺活量平均成绩：1.7122分，女性：205人\n", "肺活量平均成绩：1.7949分，总体：390人\n", "握力平均成绩：1.7838分，男性：185人\n", "握力平均成绩：1.774分，女性：208人\n", "握力平均成绩：1.7786分，总体：393人\n", "坐位体前屈平均成绩：2.8764分，男性：178人\n", "坐位体前屈平均成绩：2.9424分，女性：191人\n", "坐位体前屈平均成绩：2.9106分，总体：369人\n", "纵跳平均成绩：0.8421分，男性：57人\n", "纵跳平均成绩：0.5513分，女性：78人\n", "纵跳平均成绩：0.6741分，总体：135人\n", "俯卧撑平均成绩：3.0333分，男性：30人\n", "俯卧撑平均成绩：3.0333分，总体：30人\n", "一分钟仰卧起坐平均成绩：3.2927分，女性：41人\n", "一分钟仰卧起坐平均成绩：3.2927分，总体：41人\n", "单脚站立平均成绩：1.6932分，男性：176人\n", "单脚站立平均成绩：1.7135分，女性：192人\n", "单脚站立平均成绩：1.7038分，总体：368人\n", "选择反应时平均成绩：2.4725分，男性：182人\n", "选择反应时平均成绩：2.2927分，女性：205人\n", "选择反应时平均成绩：2.3773分，总体：387人\n", "台阶指数平均成绩：3.475分，男性：40人\n", "台阶指数平均成绩：3.6866分，女性：67人\n", "台阶指数平均成绩：3.6075分，总体：107人\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙体测报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " list1.append(str(code)) \n", "\n", "\n", "items = ['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_杨庙社区2303.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "\n", "for item in items:\n", " m = 0\n", " f = 0\n", " score = 0\n", " t_score = 0\n", " for k,v in dict1.items():\n", " if v['sex'] == 1 and item in v.keys() and k in list1:\n", " #print(k)\n", " \n", " if v[item]['得分']!=\"\":\n", " m = m +1\n", " score = score+int(v[item]['得分'])\n", " if m>0:\n", " print(f'{item}平均成绩：{round(score/m,4)}分，男性：{m}人')\n", " t_score = t_score + score\n", " score = 0\n", " for k,v in dict1.items():\n", " if v['sex'] == 2 and item in v.keys() and k in list1:\n", " \n", " if v[item]['得分']!='':\n", " f = f +1\n", " score = score+int(v[item]['得分'])\n", " if f >0:\n", " print(f'{item}平均成绩：{round(score/f,4)}分，女性：{f}人')\n", " t_score = t_score + score\n", " if (f+m)>0:\n", " print(f'{item}平均成绩：{round(t_score/(f+m),4)}分，总体：{f+m}人')\n", " " ] }, { "cell_type": "code", "execution_count": 37, "id": "e35ed01c-9a45-4a3c-b391-1655223f0c08", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:23:00.446004Z", "iopub.status.busy": "2023-10-10T11:23:00.445535Z", "iopub.status.idle": "2023-10-10T11:23:00.495577Z", "shell.execute_reply": "2023-10-10T11:23:00.494955Z", "shell.execute_reply.started": "2023-10-10T11:23:00.445967Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "男性：187人\n", "女性：208人\n", "总体：395人\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙体测报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " list1.append(str(code)) \n", "\n", "\n", "items = ['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_杨庙社区2303.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "\n", "m =0\n", "f =0\n", "for k,v in dict1.items():\n", " if v['sex'] == 1 and k in list1:\n", " m = m +1\n", "print(f'男性：{m}人')\n", "\n", "for k,v in dict1.items():\n", " if v['sex'] == 2 and k in list1:\n", " f = f +1\n", "print(f'女性：{f}人')\n", "\n", "print(f'总体：{f+m}人')" ] }, { "cell_type": "code", "execution_count": 28, "id": "a3fd59cd-5b02-4b19-b91f-12aad60bcc97", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:15:19.155689Z", "iopub.status.busy": "2023-10-10T11:15:19.155226Z", "iopub.status.idle": "2023-10-10T11:15:19.226867Z", "shell.execute_reply": "2023-10-10T11:15:19.225686Z", "shell.execute_reply.started": "2023-10-10T11:15:19.155653Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "76\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙体测报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " list1.append(str(code)) \n", "\n", "\n", "items = ['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_杨庙社区2303.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in list1:\n", " if item not in dict1.keys():\n", " print(item)" ] }, { "cell_type": "markdown", "id": "55b49119-2d00-4b65-a5cb-4079c84ce188", "metadata": {}, "source": [ "## 分析八月数据" ] }, { "cell_type": "code", "execution_count": 46, "id": "0550886e-f3d7-4366-acdc-98d2aa879f98", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:35:05.533094Z", "iopub.status.busy": "2023-10-10T11:35:05.532623Z", "iopub.status.idle": "2023-10-10T11:35:05.617045Z", "shell.execute_reply": "2023-10-10T11:35:05.616118Z", "shell.execute_reply.started": "2023-10-10T11:35:05.533057Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bmi平均成绩：3.7597分，男性：258人\n", "bmi平均成绩：3.7911分，女性：316人\n", "bmi平均成绩：3.777分，总体：574人\n", "lung平均成绩：1.8803分，男性：259人\n", "lung平均成绩：1.652分，女性：319人\n", "lung平均成绩：1.7543分，总体：578人\n", "grip平均成绩：1.5328分，男性：259人\n", "grip平均成绩：1.5063分，女性：318人\n", "grip平均成绩：1.5182分，总体：577人\n", "flexion平均成绩：2.2923分，男性：260人\n", "flexion平均成绩：2.511分，女性：319人\n", "flexion平均成绩：2.4128分，总体：579人\n", "balance平均成绩：2.082分，男性：244人\n", "balance平均成绩：1.9628分，女性：296人\n", "balance平均成绩：2.0167分，总体：540人\n", "reaction平均成绩：1.9648分，男性：256人\n", "reaction平均成绩：1.7453分，女性：318人\n", "reaction平均成绩：1.8432分，总体：574人\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙测试2023年8月报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " list1.append(str(code)) \n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", " \n", "for item in items: \n", " m = 0\n", " f = 0\n", " score = 0\n", " t_score = 0\n", " for k,v in dict1.items():\n", " if v['gender'] == 'male' and item in v['fit'].keys() and k in list1:\n", " #print(k)\n", " \n", " if v['fit'][item]['score']!=\"\":\n", " m = m +1\n", " score = score+int(v['fit'][item]['score'])\n", " if m>0:\n", " print(f'{item}平均成绩：{round(score/m,4)}分，男性：{m}人')\n", " t_score = t_score + score\n", " score = 0\n", " for k,v in dict1.items():\n", " if v['gender'] == 'female' and item in v['fit'].keys() and k in list1:\n", " \n", " if v['fit'][item]['score']!=\"\":\n", " f = f +1\n", " score = score+int(v['fit'][item]['score'])\n", " if f >0:\n", " print(f'{item}平均成绩：{round(score/f,4)}分，女性：{f}人')\n", " t_score = t_score + score\n", " if (f+m)>0:\n", " print(f'{item}平均成绩：{round(t_score/(f+m),4)}分，总体：{f+m}人')" ] }, { "cell_type": "code", "execution_count": 45, "id": "775e5a8b-6384-4d67-bbda-c5655dba05d3", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:34:53.146506Z", "iopub.status.busy": "2023-10-10T11:34:53.146035Z", "iopub.status.idle": "2023-10-10T11:34:53.228193Z", "shell.execute_reply": "2023-10-10T11:34:53.227372Z", "shell.execute_reply.started": "2023-10-10T11:34:53.146468Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "579\n", "男性：260人\n", "女性：319人\n", "总体：579人\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙测试2023年8月报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " list1.append(str(code)) \n", "\n", "\n", "items = ['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/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "print(len(list1))\n", "\n", "m =0\n", "f =0\n", "for k,v in dict1.items():\n", " if v['sex'] == '男' and k in list1:\n", " m = m +1\n", "print(f'男性：{m}人')\n", "\n", "for k,v in dict1.items():\n", " if v['sex'] == '女' and k in list1:\n", " f = f +1\n", "print(f'女性：{f}人')\n", "\n", "print(f'总体：{f+m}人')" ] }, { "cell_type": "code", "execution_count": 43, "id": "33984dce-b540-4f60-a100-6399f43d9df8", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:33:29.904700Z", "iopub.status.busy": "2023-10-10T11:33:29.904220Z", "iopub.status.idle": "2023-10-10T11:33:29.960744Z", "shell.execute_reply": "2023-10-10T11:33:29.960314Z", "shell.execute_reply.started": "2023-10-10T11:33:29.904662Z" }, "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙测试2023年8月报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " list1.append(str(code)) \n", "\n", "\n", "items = ['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_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in list1:\n", " if item not in dict1.keys():\n", " print(item)" ] }, { "cell_type": "code", "execution_count": 44, "id": "a74b5034-9613-49ca-ba65-c82a443b143b", "metadata": { "execution": { "iopub.execute_input": "2023-10-10T11:34:15.953655Z", "iopub.status.busy": "2023-10-10T11:34:15.953183Z", "iopub.status.idle": "2023-10-10T11:34:16.028478Z", "shell.execute_reply": "2023-10-10T11:34:16.028017Z", "shell.execute_reply.started": "2023-10-10T11:34:15.953618Z" }, "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "list1 = []\n", "\n", "wb = openpyxl.load_workbook('data/杨庙测试2023年8月报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value) \n", " if str(code) not in list1:\n", " list1.append(str(code))\n", " else:\n", " print(code)\n", "\n", "\n", "items = ['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_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in list1:\n", " if item not in dict1.keys():\n", " print(item)" ] }, { "cell_type": "markdown", "id": "3be7547a-f705-46cc-94e1-37c83ee04d86", "metadata": {}, "source": [ "## 生成体测成绩表" ] }, { "cell_type": "code", "execution_count": 6, "id": "f671a493-88a7-4594-98d7-bd3d0a091bee", "metadata": { "execution": { "iopub.execute_input": "2024-04-30T03:36:18.290034Z", "iopub.status.busy": "2024-04-30T03:36:18.289557Z", "iopub.status.idle": "2024-04-30T03:36:18.352150Z", "shell.execute_reply": "2024-04-30T03:36:18.350627Z", "shell.execute_reply.started": "2024-04-30T03:36:18.289994Z" }, "tags": [] }, "outputs": [ { "ename": "KeyError", "evalue": "'sex'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[6], line 17\u001b[0m\n\u001b[1;32m 15\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;241m5\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m0\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 16\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(dict1[k][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m'\u001b[39m]) \n\u001b[0;32m---> 17\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[43mdict1\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 18\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(dict1[k][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m部门\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m 19\u001b[0m i \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n", "\u001b[0;31mKeyError\u001b[0m: 'sex'" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['身高','体重','肺活量','握力','纵跳','坐位体前屈','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "bmi = ['height','weight']\n", "title = ['编号','姓名','性别','单位/部门','身高','','体重','','肺活量','','握力','','纵跳','','坐位体前屈','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数','']\n", "\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "list1 = []\n", "for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(dict1[k]['name']) \n", " list2.append(dict1[k]['sex'])\n", " list2.append(dict1[k]['部门'])\n", " i = 0\n", " \n", " for item in items:\n", " if item in dict1[k].keys():\n", " list2.append(dict1[k][item]['成绩'])\n", " list2.append(dict1[k][item]['得分']) \n", " i+=1\n", " elif item =='name':\n", " list2.append(dict1[k][item])\n", " else:\n", " list2.append('') \n", " list2.append('')\n", " list1.append(list2)\n", "filename = 'data/杨庙202303体测明细表.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)\n", "print('ok') " ] }, { "cell_type": "code", "execution_count": 9, "id": "ffce0b6c-5fcd-40b5-a118-6ae2ce9ec464", "metadata": { "execution": { "iopub.execute_input": "2024-04-30T03:52:18.063321Z", "iopub.status.busy": "2024-04-30T03:52:18.062912Z", "iopub.status.idle": "2024-04-30T03:52:18.197236Z", "shell.execute_reply": "2024-04-30T03:52:18.196723Z", "shell.execute_reply.started": "2024-04-30T03:52:18.063266Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", "bmi = ['height','weight']\n", "title = ['编号','姓名','性别','单位/部门','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", "\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(dict1[k]['name']) \n", " list2.append(dict1[k]['gender'])\n", " list2.append(dict1[k]['title'])\n", " i = 0\n", " if 'bmi' in v['fit'].keys():\n", " m_bmi = v['fit']['bmi']['mark']\n", " list2.append(m_bmi.split(',')[0])\n", " list2.append(m_bmi.split(',')[1])\n", " list2.append(v['fit']['bmi']['score'])\n", " i+=1\n", " else:\n", " list2.append('') \n", " list2.append('') \n", " list2.append('') \n", " \n", " \n", " for item in items:\n", " if item in v['fit'].keys():\n", " list2.append(v['fit'][item]['mark'])\n", " list2.append(v['fit'][item]['score']) \n", " i+=1\n", " \n", " else:\n", " list2.append('') \n", " list2.append('') \n", " \n", " list1.append(list2)\n", "filename = 'data/杨庙202308体测明细表.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)\n", "print('ok') " ] }, { "cell_type": "code", "execution_count": null, "id": "34876192-a7d3-454d-a929-53e3b6bfbeae", "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 }