{ "cells": [ { "cell_type": "markdown", "id": "04524c85-988e-4dbf-86eb-939a9db7aa28", "metadata": {}, "source": [ "## 体测人员导入" ] }, { "cell_type": "code", "execution_count": null, "id": "bbba6efc-73cd-4db6-bae7-014724fee731", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/政法委名单.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " code = int(sheet.cell(n, 1).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 2).value\n", " dict1['unit'] = '政法委'\n", " dict1['sex'] = sheet.cell(n, 3).value\n", " dict1['birth'] = str(sheet.cell(n,4).value).split(' ')[0]\n", " if sheet.cell(n,5).value is not None:\n", " dict1['phone'] = str(sheet.cell(n,5).value)\n", " \n", " person[code] = dict1\n", "filename = 'data/政法委.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "048a95aa-1691-45f6-b933-6eaf95ae1d30", "metadata": {}, "source": [ "## 生成读卡系统文件" ] }, { "cell_type": "code", "execution_count": null, "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "\n", "filename = 'data/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "for k, v in dict1.items():\n", " dict2 = {}\n", " #if dict1['sex'] =='男':\n", " # sex = 1\n", " \n", " dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':'政法委'}\n", " list1.append(dict2)\n", "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", "\n", "# 将 json 数据写入文件\n", "with open(\"data/data_政法委.json\", \"w\",encoding = 'utf-8') as file:\n", " file.write(json_data) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "970e171e-1360-448f-a28c-520ccb8f314a", "metadata": { "tags": [] }, "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/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20231020.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]['unit'] = dict1[user]['unit']\n", " re_ta[user]['phone'] = dict1[user]['phone']\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", "print(len(re_ta))\n", "filename = 'data/result_政法委.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "code", "execution_count": null, "id": "3884cf26-834c-441f-b299-7fa1df69c95c", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\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['4']['en'] = 'jump'\n", "item['5']['en'] = 'pushup'\n", "item['6']['en'] = 'balance'\n", "item['7']['en'] = 'reaction'\n", "item['8']['en'] = 'step'\n", "item['9']['en'] = 'situp'\n", "item['10']['en'] = 'height'\n", "item['11']['en'] = 'weight'\n", "\n", "\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20231020.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", "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n", "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n", "for result in list1:\n", " user = str(result[2])\n", " rq = date.fromisoformat(result[6].replace('/','-'))\n", " if user in dict1.keys():\n", " l_xm = []\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", " if dict1[user]['sex'] == '男':\n", " l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", " else:\n", " l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n", " re_ta[user]['unit'] = dict1[user]['unit']\n", " birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\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", " item_name = item[m_item]['en'] \n", " if item_name in l_xm: \n", " days = (rq-birth).days \n", " re_ta[user]['age'] = int(days/365)\n", " re_ta[user]['month'] = int(days/365*12)\n", " re_ta[user]['rq'] = result[6]\n", "\n", "\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", "print(len(re_ta))\n", "filename = 'data/result_政法委new.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "456df4d5-f832-4c97-87c7-0338cd7af124", "metadata": {}, "source": [ "## 计算项目成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "8c9c0f20-d9cf-4331-bde6-05d3b352c08a", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import time\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl) \n", "for k,v in dict3.items():\n", " item[k] = v\n", "item['1']['en'] = 'lung'\n", "item['2']['en'] = 'grip'\n", "item['3']['en'] = 'flexion'\n", "item['4']['en'] = 'jump'\n", "item['5']['en'] = 'pushup'\n", "item['6']['en'] = 'balance'\n", "item['7']['en'] = 'reaction'\n", "item['8']['en'] = 'step'\n", "item['9']['en'] = 'situp'\n", "item['10']['en'] = 'height'\n", "item['11']['en'] = 'weight'\n", "\n", "filename = 'data/体质检测标准 (1).json' \n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "\n", "\n", "def cal_score(data1):\n", " #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n", " person = dict1['person']\n", " criteria = dict1['criteria']\n", " if data1['age'] >59:\n", " data1['age'] = 59\n", " if data1['age'] <20:\n", " data1['age'] = 20\n", " info = data1['sex']+str(data1['age'])\n", " bz = person[info]\n", " mx = criteria[bz][data1['item']]\n", " result = data1['result'] \n", " if data1['item'] == 'reaction':\n", " for bz1 in mx:\n", " if result > bz1:\n", " #print(bz1)\n", " score = mx.index(bz1,0)\n", " break\n", " else:\n", " score = 5\n", " else:\n", " for bz1 in mx:\n", " if result < bz1:\n", " #print(bz1)\n", " score = mx.index(bz1,0)\n", " break\n", " else:\n", " score = 5\n", " return(score)\n", "filename = 'data/体质检测标准_BMI.json'\n", "with open(filename,'r') as fl:\n", " dict4 = json.load(fl) \n", " \n", "def cal_bmi(data1):\n", " # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n", " person = dict4['person']\n", " criteria = dict4['criteria']\n", " if data1['age'] > 59:\n", " data1['age'] = 59\n", " if data1['age'] <20:\n", " data1['age'] = 20\n", " info = data1['sex']+str(data1['age'])\n", " bz = person[info]\n", " #print(bz)\n", " result = data1['result']\n", " #print(data1['code'],result)\n", " height = int(float(result.split(',')[0]))\n", " weight = float(result.split(',')[1])\n", " if str(height) not in criteria[bz]:\n", " score = 1\n", " else: \n", " mx = criteria[bz][str(height)]\n", " if weight < mx[0]:\n", " score = 1\n", " elif weight < mx[1]:\n", " score = 3\n", " elif weight < mx[2]:\n", " score = 5 \n", " elif weight <= mx[3]:\n", " score = 3 \n", " elif weight > mx[3]:\n", " score = 1\n", " return score\n", " \n", " \n", "\n", "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", "filename = 'data/result_政法委new.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", " #print(k)\n", " if v['sex'] == '男':\n", " sex = 'M'\n", " else:\n", " sex = 'F' \n", " if 'height' in v.keys() and 'weight' in v.keys():\n", " bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", " dict2[k]['bmi'] = {}\n", " dict2[k]['bmi']['成绩'] = bmi_data\n", " dict2[k]['bmi']['score'] = cal_bmi(data1)\n", " for item_en in list_item:\n", " if item_en in v.keys(): \n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", " dict2[k][item_en]['score'] = cal_score(data1)\n", " #print(k,v[item_en]['成绩'],cal_score(data1))\n", "\n", "filename = f'data/result_政法委new.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " ] }, { "cell_type": "markdown", "id": "d034a61d-1fbd-417b-99bd-277e43ebb678", "metadata": {}, "source": [ "## 导出测试人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890", "metadata": { "tags": [] }, "outputs": [], "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','单位','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "\n", "filename = 'data/result_政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/政法委.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", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit'])\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/政法委.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": "699c6a40-a6ae-4300-9646-708cb85aa5e8", "metadata": {}, "source": [ "## 手工数据导入数据库" ] }, { "cell_type": "code", "execution_count": null, "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/政法委手工数据.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 = int(item[0])\n", " list1.append((496535,code,item[2],item[1],'2023-10-20','2023-10-20 17:00:00'))\n", "print(list1)" ] }, { "cell_type": "markdown", "id": "780a00d8-ada3-4c52-bd3a-301cdaec8463", "metadata": {}, "source": [ "## 导入问卷信息" ] }, { "cell_type": "code", "execution_count": null, "id": "dc0a78bb-ce82-4f6d-ba53-8bd9655f39af", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "\n", "filename = 'data/result_政法委new.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = set()\n", "phone1 = set()\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone.add(v['phone'])\n", "list1 = []\n", "filename = 'data/Survey_20231026.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", "dict2 = {}\n", "m_rq = '2023-10-20'\n", "rq= date.fromisoformat(m_rq.replace('/','-'))\n", "for item in list1:\n", " if item[2] in phone: \n", " content = json.loads(item[5])\n", " list2 = []\n", " for i in range(0,60):\n", " list2.append(0)\n", " for k, v in content.items():\n", " i = int(k[1:])\n", " list2[i-1] = v\n", " dict2[item[2]] = list2\n", "print(dict2) \n", "for k, v in dict3.items():\n", " if 'phone' in v.keys() and v['phone'] in dict2.keys():\n", " if k not in dict1.keys():\n", " dict1.setdefault(k,{})\n", " dict1[k] = dict3[k]\n", " days = (rq-birth).days \n", " dict1[k]['age'] = int(days/365)\n", " dict1[k]['month'] = int(days/365*12)\n", " \n", " dict1[k]['tcm'] = dict2[str(v['phone'])]\n", " \n", "filename = 'data/result_政法委new.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) " ] }, { "cell_type": "markdown", "id": "5c72d14d-0f75-41d5-a334-fc16f4a2d275", "metadata": {}, "source": [ "## 统计未参加问卷人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "5b646b5d-c4f6-4d37-9510-30fcbef44855", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "\n", "filename = 'data/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "phone = set()\n", "phone1 = set()\n", "for k,v in dict1.items():\n", " if 'phone' in v.keys():\n", " phone.add(v['phone'])\n", "list1 = []\n", "filename = 'data/Survey_20231023-1698026051370.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", " phone1.add(result[2])\n", "\n", "for k, v in dict1.items():\n", " if 'phone' in v.keys():\n", " item = str(v['phone'])\n", " if item not in phone1:\n", " print(k,v['name'])" ] }, { "cell_type": "code", "execution_count": null, "id": "0bc15d3a-e0a4-4089-9891-be3da20660cc", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "\n", "filename = 'data/政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "phone = set()\n", "phone1 = set()\n", "for k,v in dict1.items():\n", " if 'phone' in v.keys():\n", " phone.add(v['phone'])\n", "list1 = []\n", "filename = 'data/Survey_20231023-1698026051370.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", " phone1.add(result[2])\n", "\n", "for item in phone1:\n", " if item in phone:\n", " print(item)" ] }, { "cell_type": "markdown", "id": "93dfaaf1-95a5-467d-b7d8-e0f0e4a6e0dd", "metadata": {}, "source": [ "## 生成报告" ] }, { "cell_type": "code", "execution_count": null, "id": "ab9b8e0c-53dd-4b93-a42a-7d1952b0423a", "metadata": { "tags": [] }, "outputs": [], "source": [ "import requests\n", "import json\n", "\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_政法委new.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "fiie_path ='./政法委1/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i = 27\n", "list2 = []\n", "for k,v in dict1.items(): \n", " list1 = []\n", " mydata = {} \n", " id = k.rjust(3,\"0\")\n", " mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '延庆区委政法委'\n", " #mydata['subtitle'] = ''\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female' \n", " mydata['month'] = v['month']\n", " \n", " if 'tcm' in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys']['tcm'] = v['tcm']\n", " \n", " mydata['fits'] = {}\n", " #mydata.setdefault('fits',{})\n", " for item in list_item:\n", " if item in dict1[k].keys():\n", " if item in ['lung','pushup','step','situp']:\n", " mark = dict1[k][item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = dict1[k][item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':dict1[k][item]['score']}\n", " #print(mydata) \n", " \n", " list1.append(mydata)\n", " #list2.append([k,dict1[k]['name']])\n", "\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " print(id,dict1[k]['name'],x.text)\n", " x.close()\n", " #print(mydata)\n" ] }, { "cell_type": "markdown", "id": "fd349cad-ac40-4f35-8eb3-3642a9a82899", "metadata": {}, "source": [ "## 数据分析" ] }, { "cell_type": "markdown", "id": "187d68b0-f404-489f-8c42-1ae98139ac5c", "metadata": {}, "source": [ "### 清理报告数据" ] }, { "cell_type": "code", "execution_count": 95, "id": "8da85b6e-6a8e-4552-ac9b-475986520edb", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T03:35:28.101067Z", "iopub.status.busy": "2023-10-26T03:35:28.100567Z", "iopub.status.idle": "2023-10-26T03:35:28.134546Z", "shell.execute_reply": "2023-10-26T03:35:28.131755Z", "shell.execute_reply.started": "2023-10-26T03:35:28.101019Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok!\n" ] } ], "source": [ "import json\n", "\n", "filename = 'data/result_政法委new.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\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", "items = {}\n", "items['lung'] = '肺活量'\n", "items['grip'] ='握力'\n", "items['flexion'] ='坐位体前屈'\n", "items['jump'] ='纵跳'\n", "items['pushup'] ='俯卧撑'\n", "items['balance'] ='单脚站立'\n", "items['reaction'] ='选择反应时'\n", "items['step'] ='台阶指数'\n", "items['situp'] ='一分钟仰卧起坐'\n", "items['bmi'] ='BMI'\n", "\n", "\n", "list1 = []\n", "\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=1\n", "list2 = []\n", "dict2 = {}\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(3,\"0\")\n", " mydata['unit'] = v['unit']\n", " mydata['name'] = v['name']\n", " mydata['sex'] = v['sex']\n", " mydata['month'] = v['month']\n", " age = int(v['month']/12)\n", " if age <20:\n", " mydata['age'] = 20\n", " else:\n", " mydata['age'] = int(v['month']/12)\n", " \n", " mydata['fits'] = {}\n", " score = 0\n", " for item in list_item:\n", " if item in v.keys():\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " n+=1\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n", " score = score + v[item]['score']\n", " \n", " #mydata['score'] = round(score/len(mydata['fits']),2)\n", " if len(mydata['fits']) >2:\n", " mydata['score'] = round(score/len(mydata['fits']),2)\n", " dict2[str(k)] = mydata\n", "filename = f'data/data_政法委.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " ] }, { "cell_type": "markdown", "id": "a6539755-2418-452c-a8c2-73330e7a074c", "metadata": {}, "source": [ "### 计算测试等级" ] }, { "cell_type": "code", "execution_count": 96, "id": "e37fb523-af73-42b7-8b74-c91cbfa0e0d7", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T03:49:05.366546Z", "iopub.status.busy": "2023-10-26T03:49:05.366264Z", "iopub.status.idle": "2023-10-26T03:49:05.373556Z", "shell.execute_reply": "2023-10-26T03:49:05.373033Z", "shell.execute_reply.started": "2023-10-26T03:49:05.366520Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0~255分人数：4人,男性：4人,女性:0人\n", "256~332分人数：13人,男性：5人,女性:8人\n", "333~367分人数：5人,男性：1人,女性:4人\n", "368~500分人数：3人,男性：1人,女性:2人\n", "25\n" ] } ], "source": [ "import json\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", "\n", "filename = 'data/data_政法委.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "\n", "for k1, v1 in dict2.items():\n", " di = v1[0]\n", " gao = v1[1]\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if int(v['score']*100) in range(di,gao+1):\n", " dict1[k]['level'] = k1\n", " i+=1\n", " if v['sex'] == '男':\n", " m = m +1\n", " else:\n", " f = f+1\n", " print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n", "print(len(dict1))" ] }, { "cell_type": "markdown", "id": "6c1632a4-3bd5-4f63-9593-7675272725ad", "metadata": {}, "source": [ "### 根据年龄汇总人员信息及成绩" ] }, { "cell_type": "code", "execution_count": 118, "id": "c12bc25a-17d6-4dcf-b739-cfa9bbe4410f", "metadata": { "execution": { "iopub.execute_input": "2023-10-27T02:42:44.946766Z", "iopub.status.busy": "2023-10-27T02:42:44.945990Z", "iopub.status.idle": "2023-10-27T02:42:44.968952Z", "shell.execute_reply": "2023-10-27T02:42:44.966747Z", "shell.execute_reply.started": "2023-10-27T02:42:44.946692Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "20~24岁平均成绩：0分，人数：0人,男性：0人\n", "25~29岁平均成绩：2.22分，人数：1人,男性：1人\n", "30~34岁平均成绩：3.0分，人数：5人,男性：3人\n", "35~39岁平均成绩：2.99分，人数：6人,男性：2人\n", "40~44岁平均成绩：2.96分，人数：6人,男性：2人\n", "45~49岁平均成绩：3.5分，人数：4人,男性：1人\n", "50~54岁平均成绩：3.18分，人数：3人,男性：2人\n", "55~69岁平均成绩：0分，人数：0人,男性：0人\n" ] } ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " i = 0\n", " score = 0\n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1):\n", " score = score+v['score']\n", " i+=1\n", " if v['sex'] == '男':\n", " m = m +1\n", " if i ==0:\n", " print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')\n", " else:\n", " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')" ] }, { "cell_type": "markdown", "id": "3c7b8dd3-ca80-45dc-92ae-6832e3c2dbcb", "metadata": {}, "source": [ "### 根据年龄汇总人员信息及成绩（男）" ] }, { "cell_type": "code", "execution_count": 114, "id": "eec3966b-91ec-4527-86a6-2e5ced6ba002", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T04:25:42.987343Z", "iopub.status.busy": "2023-10-26T04:25:42.986782Z", "iopub.status.idle": "2023-10-26T04:25:43.001560Z", "shell.execute_reply": "2023-10-26T04:25:43.000037Z", "shell.execute_reply.started": "2023-10-26T04:25:42.987293Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "20~24岁平均成绩：0分，人数：0人\n", "25~29岁平均成绩：2.22分，人数：1人\n", "30~34岁平均成绩：2.96分，人数：3人\n", "35~39岁平均成绩：2.54分，人数：2人\n", "40~44岁平均成绩：2.82分，人数：2人\n", "45~49岁平均成绩：2.89分，人数：1人\n", "50~54岁平均成绩：3.17分，人数：2人\n", "55~80岁平均成绩：0分，人数：0人\n" ] } ], "source": [ "import json\n", "\n", "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " i = 0\n", " score = 0\n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1) and v['sex'] == '男':\n", " score = score+v['score']\n", " i+=1\n", " if i ==0:\n", " print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n", " else:\n", " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')" ] }, { "cell_type": "markdown", "id": "1277bad3-b04c-4d66-865f-fa6dc3b2bf61", "metadata": {}, "source": [ "### 根据年龄汇总人员信息及成绩（女）" ] }, { "cell_type": "code", "execution_count": 116, "id": "40658342-1628-42a5-89ad-85fe592e74bb", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T04:26:12.879285Z", "iopub.status.busy": "2023-10-26T04:26:12.878016Z", "iopub.status.idle": "2023-10-26T04:26:12.905340Z", "shell.execute_reply": "2023-10-26T04:26:12.902439Z", "shell.execute_reply.started": "2023-10-26T04:26:12.879163Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "20~24岁平均成绩：0分，人数：0人\n", "25~29岁平均成绩：0分，人数：0人\n", "30~34岁平均成绩：3.06分，人数：2人\n", "35~39岁平均成绩：3.21分，人数：4人\n", "40~44岁平均成绩：3.03分，人数：4人\n", "45~49岁平均成绩：3.7分，人数：3人\n", "50~54岁平均成绩：3.22分，人数：1人\n", "55~80岁平均成绩：0分，人数：0人\n" ] } ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " i = 0\n", " score = 0\n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1) and v['sex'] == '女':\n", " score = score+v['score']\n", " i+=1\n", " if i ==0:\n", " print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n", " else:\n", " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')" ] }, { "cell_type": "markdown", "id": "a59a8699-1a62-43ca-a11d-cdc03009b9e1", "metadata": {}, "source": [ "### 计算平均成绩" ] }, { "cell_type": "code", "execution_count": 100, "id": "899da5d8-708e-4bb8-a1ce-b82a40cf2e94", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T03:51:52.546011Z", "iopub.status.busy": "2023-10-26T03:51:52.545203Z", "iopub.status.idle": "2023-10-26T03:51:52.568280Z", "shell.execute_reply": "2023-10-26T03:51:52.566286Z", "shell.execute_reply.started": "2023-10-26T03:51:52.545933Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "平均成绩：2.8227分，男性：11人\n", "平均成绩：3.2429分，女性：14人\n", "平均成绩：3.058分，总体：25人\n" ] } ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "i = 1\n", "m = 0\n", "f = 0\n", "score = 0\n", "t_score = 0\n", "for k,v in dict1.items():\n", " if v['sex'] == '男':\n", " m = m +1\n", " score = score+v['score']\n", "print(f'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'] == '女':\n", " f = f +1\n", " score = score+v['score']\n", "print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')\n", "t_score = t_score + score\n", "print(f'平均成绩：{round(t_score/25,4)}分，总体：25人')" ] }, { "cell_type": "markdown", "id": "314ca97d-ad3e-4fe0-a6a5-45b8de94f71e", "metadata": {}, "source": [ "### 计算测试等级" ] }, { "cell_type": "code", "execution_count": 101, "id": "dfb1b1f1-79fd-47af-9fdb-3671de26a17d", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T03:52:27.216766Z", "iopub.status.busy": "2023-10-26T03:52:27.216454Z", "iopub.status.idle": "2023-10-26T03:52:27.237182Z", "shell.execute_reply": "2023-10-26T03:52:27.234980Z", "shell.execute_reply.started": "2023-10-26T03:52:27.216738Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0~255分人数：4人,男性：4人,女性:0人\n", "256~332分人数：13人,男性：5人,女性:8人\n", "333~367分人数：5人,男性：1人,女性:4人\n", "368~500分人数：3人,男性：1人,女性:2人\n", "ok\n" ] } ], "source": [ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "\n", "for k1, v1 in dict2.items():\n", " di = v1[0]\n", " gao = v1[1]\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if int(v['score']*100) in range(di,gao+1):\n", " dict1[k]['level'] = k1\n", " i+=1\n", " if v['sex'] == '男':\n", " m = m +1\n", " else:\n", " f = f+1\n", " print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n", "#filename = 'data/result_石家庄.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "fe71a0f0-5494-4462-a123-d0edbbaaf3ab", "metadata": {}, "source": [ "### 计算各年龄段测试等级(女）" ] }, { "cell_type": "code", "execution_count": 119, "id": "5af094da-db54-4ab7-bbce-7329cb2fc1b1", "metadata": { "execution": { "iopub.execute_input": "2023-10-27T02:53:08.597836Z", "iopub.status.busy": "2023-10-27T02:53:08.597058Z", "iopub.status.idle": "2023-10-27T02:53:08.623418Z", "shell.execute_reply": "2023-10-27T02:53:08.621219Z", "shell.execute_reply.started": "2023-10-27T02:53:08.597762Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "20-24 {}\n", "25-29 {'不合格': 0}\n", "30-34 {'良好': 1, '不合格': 0, '合格': 1}\n", "35-39 {'合格': 2, '良好': 2, '不合格': 0}\n", "40-44 {'合格': 3, '良好': 1}\n", "45-49 {'优秀': 2, '合格': 1}\n", "50-54 {'不合格': 0, '优秀': 0, '合格': 1}\n", "55-80 {}\n" ] } ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "dict3 = {}\n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " age = f'{di}-{gao}'\n", " dict3.setdefault(age,{})\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1): \n", " dict3[age].setdefault(v['level'],0)\n", " if v['sex'] == '女':\n", " dict3[age][v['level']] = dict3[age][v['level']]+1\n", " \n", "for k, v in dict3.items():\n", " print(k,v)" ] }, { "cell_type": "markdown", "id": "ee7396bd-6548-4aaf-8b6d-53a4fa5f2f56", "metadata": {}, "source": [ "### 计算各年龄段测试等级(男）" ] }, { "cell_type": "code", "execution_count": 103, "id": "38c51c24-3f9e-4147-9743-19d4f07bc2ff", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T03:54:08.316734Z", "iopub.status.busy": "2023-10-26T03:54:08.316430Z", "iopub.status.idle": "2023-10-26T03:54:08.324322Z", "shell.execute_reply": "2023-10-26T03:54:08.323799Z", "shell.execute_reply.started": "2023-10-26T03:54:08.316708Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "20-24 {}\n", "25-29 {'不合格': 1}\n", "30-34 {'良好': 1, '不合格': 1, '合格': 1}\n", "35-39 {'合格': 1, '良好': 0, '不合格': 1}\n", "40-44 {'合格': 2, '良好': 0}\n", "45-49 {'优秀': 0, '合格': 1}\n", "50-54 {'不合格': 1, '优秀': 1, '合格': 0}\n", "55-80 {}\n" ] } ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "dict3 = {}\n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " age = f'{di}-{gao}'\n", " dict3.setdefault(age,{})\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1): \n", " dict3[age].setdefault(v['level'],0)\n", " if v['sex'] == '男':\n", " dict3[age][v['level']] = dict3[age][v['level']]+1\n", " \n", "for k, v in dict3.items():\n", " print(k,v)" ] }, { "cell_type": "markdown", "id": "0921bc7f-984e-4aaf-8c3b-8bf9f086c804", "metadata": {}, "source": [ "### 计算各项目成绩" ] }, { "cell_type": "code", "execution_count": 117, "id": "229640d7-824b-4cb2-bdec-7d884677a856", "metadata": { "execution": { "iopub.execute_input": "2023-10-26T05:03:47.686725Z", "iopub.status.busy": "2023-10-26T05:03:47.685887Z", "iopub.status.idle": "2023-10-26T05:03:47.706507Z", "shell.execute_reply": "2023-10-26T05:03:47.704152Z", "shell.execute_reply.started": "2023-10-26T05:03:47.686645Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "BMI 3.8 25\n", "肺活量 3.68 25\n", "握力 2.56 25\n", "坐位体前屈 2.88 25\n", "纵跳 2.44 25\n", "俯卧撑 3.91 11\n", "一分钟仰卧起坐 3.86 14\n", "单脚站立 2.32 25\n", "选择反应时 3.72 25\n", "台阶指数 2.18 22\n" ] } ], "source": [ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "items = ['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", "for item in items:\n", " score = 0\n", " n = 0\n", " for k, v in dict1.items(): \n", " if item in v['fits'].keys():\n", " n = n + 1\n", " score =score + int(v['fits'][item]['score'])\n", " print(item,round(score/n,2),n)" ] }, { "cell_type": "code", "execution_count": null, "id": "ef75cdd8-d83e-48ab-9867-11102714202a", "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 }