1403 lines
43 KiB
Plaintext
1403 lines
43 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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/政法委名单.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['unit'] = '政法委'\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['birth'] = str(sheet.cell(n,4).value).split(' ')[0]\n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,5).value)\n",
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" \n",
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" person[code] = dict1\n",
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"filename = 'data/政法委.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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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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"\n",
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"filename = 'data/政法委.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':'政法委'}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_政法委.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 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 time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/政法委.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_20231020.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" re_ta[user]['phone'] = dict1[user]['phone']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_政法委.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3884cf26-834c-441f-b299-7fa1df69c95c",
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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/政法委.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_20231020.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 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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" #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_政法委new.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": "456df4d5-f832-4c97-87c7-0338cd7af124",
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"metadata": {},
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"source": [
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"## 计算项目成绩"
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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": "8c9c0f20-d9cf-4331-bde6-05d3b352c08a",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import time\n",
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"\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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" dict3 = json.load(fl) \n",
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"for k,v in dict3.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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"filename = 'data/体质检测标准 (1).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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"\n",
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"\n",
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"def cal_score(data1):\n",
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" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
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" person = dict1['person']\n",
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" criteria = dict1['criteria']\n",
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" if data1['age'] >59:\n",
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" data1['age'] = 59\n",
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" if data1['age'] <20:\n",
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" data1['age'] = 20\n",
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" info = data1['sex']+str(data1['age'])\n",
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" bz = person[info]\n",
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" mx = criteria[bz][data1['item']]\n",
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" result = data1['result'] \n",
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" if data1['item'] == 'reaction':\n",
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" for bz1 in mx:\n",
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" if result > bz1:\n",
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" #print(bz1)\n",
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" score = mx.index(bz1,0)\n",
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" break\n",
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" else:\n",
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" score = 5\n",
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" else:\n",
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" for bz1 in mx:\n",
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" if result < bz1:\n",
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" #print(bz1)\n",
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" score = mx.index(bz1,0)\n",
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" break\n",
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" else:\n",
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" score = 5\n",
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" return(score)\n",
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"filename = 'data/体质检测标准_BMI.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict4 = json.load(fl) \n",
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" \n",
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"def cal_bmi(data1):\n",
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" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
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" person = dict4['person']\n",
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" criteria = dict4['criteria']\n",
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" if data1['age'] > 59:\n",
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" data1['age'] = 59\n",
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" if data1['age'] <20:\n",
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" data1['age'] = 20\n",
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" info = data1['sex']+str(data1['age'])\n",
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" bz = person[info]\n",
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" #print(bz)\n",
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" result = data1['result']\n",
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" #print(data1['code'],result)\n",
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" height = int(float(result.split(',')[0]))\n",
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" weight = float(result.split(',')[1])\n",
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" if str(height) not in criteria[bz]:\n",
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" score = 1\n",
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" else: \n",
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" mx = criteria[bz][str(height)]\n",
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" if weight < mx[0]:\n",
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" score = 1\n",
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" elif weight < mx[1]:\n",
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" score = 3\n",
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" elif weight < mx[2]:\n",
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" score = 5 \n",
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" elif weight <= mx[3]:\n",
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" score = 3 \n",
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" elif weight > mx[3]:\n",
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" score = 1\n",
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" return score\n",
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" \n",
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" \n",
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
|
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"filename = 'data/result_政法委new.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"for k, v in dict2.items():\n",
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" #print(k)\n",
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" if v['sex'] == '男':\n",
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
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" if 'height' in v.keys() and 'weight' in v.keys():\n",
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" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
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" dict2[k]['bmi'] = {}\n",
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" dict2[k]['bmi']['成绩'] = bmi_data\n",
|
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" dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
|
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" for item_en in list_item:\n",
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" if item_en in v.keys(): \n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
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" dict2[k][item_en]['score'] = cal_score(data1)\n",
|
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
|
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"filename = f'data/result_政法委new.json'\n",
|
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
|
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"print('ok!') "
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]
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},
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{
|
|
"cell_type": "markdown",
|
|
"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": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
|
|
"metadata": {
|
|
"tags": []
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|
},
|
|
"outputs": [],
|
|
"source": [
|
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"import json\n",
|
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"import openpyxl\n",
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"\n",
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"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','性别','单位','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"\n",
|
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"filename = 'data/result_政法委.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/政法委.json'\n",
|
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"with open(filename,'r') as fl:\n",
|
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" dict2 = json.load(fl)\n",
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" \n",
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"list1 = []\n",
|
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"for k, v in dict1.items():\n",
|
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" list2 = []\n",
|
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" list2.append(str(k).rjust(5,'0'))\n",
|
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" list2.append(v['name']) \n",
|
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" list2.append(dict2[k]['sex'])\n",
|
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" list2.append(dict2[k]['unit'])\n",
|
|
" 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",
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"metadata": {},
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"source": [
|
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"### 计算各年龄段测试等级(男）"
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]
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},
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|
{
|
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"cell_type": "code",
|
|
"execution_count": 103,
|
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"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",
|
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"25-29 {'不合格': 1}\n",
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"30-34 {'良好': 1, '不合格': 1, '合格': 1}\n",
|
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"35-39 {'合格': 1, '良好': 0, '不合格': 1}\n",
|
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"40-44 {'合格': 2, '良好': 0}\n",
|
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"45-49 {'优秀': 0, '合格': 1}\n",
|
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"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",
|
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"\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
|
|
}
|