{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "28695364-38de-442e-818d-cfab45902763",
   "metadata": {},
   "source": [
    "## 导入人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f2feca4-e0bf-4d68-af95-d3cfe5ac28bb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    if sheet.cell(n,1).value is not None:\n",
    "        code = int(sheet.cell(n, 4).value)\n",
    "        person.setdefault(code, {})\n",
    "        dict1 = {}\n",
    "        dict1['name'] = sheet.cell(n, 6).value\n",
    "        if sheet.cell(n, 7).value ==1:\n",
    "            sex = '男'\n",
    "        else:\n",
    "            sex = '女'\n",
    "        dict1['sex'] = sex\n",
    "        dict1['unit'] = sheet.cell(n, 3).value\n",
    "\n",
    "\n",
    "        person[code] = dict1\n",
    "filename = 'data/东营工程设计院人员名单.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76caa442-de4f-41eb-8743-b4a9d6c749d0",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab77e97a-de62-44dc-874e-72e9c8aaecf2",
   "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",
    "#print(\"\\n运动项目信息：\")\n",
    "filename = 'data/141.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[4])\n",
    "    m_item = str(result[0])    \n",
    "    re_ta.setdefault(user,{})    \n",
    "    re_ta[user]['name'] = str(result[6])\n",
    "    re_ta[user]['unit'] = str(result[5])    \n",
    "    item_name = item[m_item]['name']\n",
    "    re_ta[user].setdefault(item_name,{})  \n",
    "    score = int(result[1])/item[m_item]['divisor']    \n",
    "    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
    "    re_ta[user][item_name]['得分'] =result[2]\n",
    "filename = 'data/result_东营石油工程设计院.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(re_ta, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4107446-c0c6-4d76-9062-284ff806ec86",
   "metadata": {},
   "source": [
    "## 导出测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee6db59f-dcc3-4a85-8dba-2e212c2b5be0",
   "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/部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
    "filename = 'data/result_东营石油工程设计院.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/东营工程设计院人员名单.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",
    "    \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/东营石油工程设计院体测情况表.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet.append(title)\n",
    "for row in list1:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "579fd3c1-7fe3-49ef-8875-0d823b7d0546",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\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",
    "#SQL语句为：\n",
    "#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n",
    "filename = 'data/东营工程设计院人员名单.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl) \n",
    "\n",
    "list1 = []\n",
    "#print(\"\\n运动项目信息：\")\n",
    "filename = 'data/141.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",
    "dict3 = {}\n",
    "for result in list1:\n",
    "    user = result[2]\n",
    "    if user in dict2.keys():\n",
    "        dict3.setdefault(user,{})  \n",
    "        dict3[user]['name'] = dict2[user]['name']\n",
    "        dict3[user]['unit'] = dict2[user]['unit']\n",
    "\n",
    "print(len(dict3))\n",
    "list1 = []\n",
    "for k, v in dict3.items():\n",
    "    list2 = [k,v['name'],v['unit']]\n",
    "    list1.append(list2)\n",
    "filename = 'data/东营工程设计院参加测试人员情况表.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "\n",
    "for row in list1:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)   \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "441db522-6774-4868-bb43-3de8ffc3f1ef",
   "metadata": {},
   "source": [
    "## 体测报告更名按部门分组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a26fdfb-b28f-42c9-9479-57e210c0b8ae",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os,sys,shutil\n",
    "import json\n",
    "import math\n",
    "import openpyxl\n",
    "wb = openpyxl.load_workbook('data/东营工程设计院参加测试人员情况表.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "dict1 = {}\n",
    "list_bh = []\n",
    "depart = []\n",
    "for n in range(1,sheet.max_row+1):\n",
    "    dict1.setdefault(sheet.cell(n, 1).value,{})    \n",
    "    m_depart = sheet.cell(n, 3).value\n",
    "    dict1[sheet.cell(n, 1).value]['unit'] = m_depart\n",
    "    dict1[sheet.cell(n, 1).value]['name'] = sheet.cell(n, 2).value\n",
    "    if m_depart not in depart:\n",
    "        depart.append(m_depart)\n",
    "old = []\n",
    "\n",
    "        \n",
    "fi_path = 'file/141'\n",
    "\n",
    "\n",
    "# 创建部门办公室    \n",
    "m_path = 'file/141/new'\n",
    "for pn in depart:\n",
    "    if not os.path.exists(m_path + '/' + pn):\n",
    "        os.mkdir(m_path + '/' + pn)\n",
    "fl=os.listdir(fi_path)\n",
    "for fn in fl:\n",
    "    if os.path.isfile(fi_path + '/' + fn):\n",
    "        ofn = int(fn.split('.')[0])\n",
    "        old.append(ofn) \n",
    "old.sort()\n",
    "for n in old:    \n",
    "    o_name = f'{fi_path}/{n}.pdf'\n",
    "    unit = dict1[str(n)]['unit']\n",
    "    name = dict1[str(n)]['name']\n",
    "    n_name = f'{m_path}/{unit}/{str(n).rjust(5,\"0\")}-{name}.pdf'\n",
    "    #print(o_name,n_name)\n",
    "    if not os.path.exists(n_name):\n",
    "        shutil.copyfile(o_name,n_name)\n",
    "        print(n_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6f372af-b4a6-4815-b251-d15ff26ee480",
   "metadata": {},
   "source": [
    "## 体测报告分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a23d436-a49f-4e39-bbf3-bf92be6ea072",
   "metadata": {},
   "source": [
    "### 获取人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e6aed1b3-5825-4aed-83ec-08c50c5276f1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import pymysql\n",
    "import datetime\n",
    "\n",
    "dict1 = {}\n",
    "dict2 = {}\n",
    "dict3 = {}\n",
    "\n",
    "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"ydyb\" )\n",
    "cursor = db.cursor()\n",
    "sql = \"SELECT b.avatar_id, a.name ,a.sex,a.birth FROM people as a,places_people as b WHERE a.id =b.people_id AND  b.place_id = 141\"\n",
    "cursor.execute(sql)\n",
    "results = cursor.fetchall()\n",
    "for result in results:\n",
    "    bh = result[0]\n",
    "    \n",
    "    name = str(result[1]).strip()\n",
    "    dict2.setdefault(bh,{})\n",
    "    dict2[bh]['name'] = name\n",
    "    dict2[bh]['sex'] = result[2]\n",
    "    #dict2[bh]['birth'] = result[3]\n",
    "    #print(result[3])\n",
    "    days = (datetime.date(2023, 3, 6)-result[3]).days\n",
    "    dict2[bh]['age'] = round(days/365)\n",
    "\n",
    "filename = 'data/东营工程设计院人员信息.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(dict2, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "300ffd45-7bb4-4e8f-bfb1-d0a5114f396f",
   "metadata": {},
   "source": [
    "### 获取人员及体测成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34cc0d44-7567-4263-9fa2-3fc47d643f00",
   "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",
    "#SQL语句为：\n",
    "#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n",
    "\n",
    "re_ta = {}\n",
    "dict1 = {}\n",
    "list1 = []\n",
    "#print(\"\\n运动项目信息：\")\n",
    "filename = 'data/141.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[4])\n",
    "    m_item = str(result[0])    \n",
    "    re_ta.setdefault(user,{})    \n",
    "    re_ta[user]['name'] = str(result[6])\n",
    "    re_ta[user]['unit'] = str(result[5])    \n",
    "    item_name = item[m_item]['name']\n",
    "    re_ta[user].setdefault(item_name,{})  \n",
    "    score = int(result[1])/item[m_item]['divisor']    \n",
    "    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
    "    re_ta[user][item_name]['得分'] =result[2]\n",
    "filename = 'data/result_东营设计院.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(re_ta, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "908b8339-07bf-48a9-b8f3-327c79e38a28",
   "metadata": {},
   "source": [
    "### 汇总人员信息及成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83c471e6-f2af-4ec8-abc2-a9dfa2de5e22",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "\n",
    "items = ['体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
    "filename = 'data/result_东营设计院.json'\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "filename = 'data/东营工程设计院人员信息.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl) \n",
    "for k,v in dict1.items():\n",
    "    print(k)\n",
    "    score = 0\n",
    "    i = 0\n",
    "    for k1,v1 in v.items():\n",
    "        \n",
    "        \n",
    "        if k1 in items:\n",
    "            score = score + int(v1['得分'])\n",
    "            i+=1\n",
    "    \n",
    "    dict1[k]['age'] = dict2[k]['age']\n",
    "    dict1[k]['sex'] = dict2[k]['sex']\n",
    "    dict1[k]['score'] = round(score/i,2)\n",
    "            \n",
    "filename = 'data/result_东营设计院.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dce39907-39cd-40ec-8588-2ec6a15c3aa2",
   "metadata": {},
   "source": [
    "### 根据年龄汇总人员信息及成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1d9be91-7201-435b-8683-838056beca42",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n",
    "filename = 'data/result_东营设计院.json'\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 = 1\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'] == 0:\n",
    "                m = m +1\n",
    "            \n",
    "    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人,男性：{m}人')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b78012f-35c2-4b1d-a3e7-5b332e7c4b66",
   "metadata": {},
   "source": [
    "### 计算平均成绩及等级"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "785620af-e60c-4f17-b261-cae1de7240b2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n",
    "filename = 'data/result_东营设计院.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "i = 1\n",
    "score = 0\n",
    "\n",
    "m = 0\n",
    "f = 0\n",
    "for k,v in dict1.items():\n",
    "    if v['sex'] == 0:\n",
    "        m = m+v['score']\n",
    "    else:\n",
    "        f = f+v['score']\n",
    "    score = score + v['score']\n",
    "\n",
    "print(f'平均成绩：{round(score/336,2)}分，男性：{round(m/203,2)}分,女性：{round(f/133,2)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17e9be28-563c-46ee-a457-51deb085cb55",
   "metadata": {},
   "source": [
    "### 计算测试等级"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "aa32ab25-6cb7-4a1b-87f9-5ec2b11d9715",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-12T13:22:18.338825Z",
     "iopub.status.busy": "2023-04-12T13:22:18.337969Z",
     "iopub.status.idle": "2023-04-12T13:22:18.406570Z",
     "shell.execute_reply": "2023-04-12T13:22:18.405537Z",
     "shell.execute_reply.started": "2023-04-12T13:22:18.338784Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0~255分人数：58人,男性：54人,女性:4人\n",
      "256~332分人数：149人,男性：96人,女性:53人\n",
      "333~367分人数：95人,男性：43人,女性:52人\n",
      "368~500分人数：34人,男性：10人,女性:24人\n",
      "ok\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/result_东营设计院.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",
    "filename = 'data/result_东营设计院.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \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'] == 0:\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_东营设计院.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a07a92d-b81f-42f0-b3d0-13d1c452781a",
   "metadata": {},
   "source": [
    "### 计算各年龄段测试等级(男）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1759fc30-f390-4ed1-8d48-5eacc050e18f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-12T13:36:32.351702Z",
     "iopub.status.busy": "2023-04-12T13:36:32.350823Z",
     "iopub.status.idle": "2023-04-12T13:36:32.375360Z",
     "shell.execute_reply": "2023-04-12T13:36:32.374336Z",
     "shell.execute_reply.started": "2023-04-12T13:36:32.351659Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20-24 {'合格': 9, '良好': 3, '不合格': 6, '优秀': 0}\n",
      "25-29 {'不合格': 12, '合格': 20, '优秀': 1, '良好': 5}\n",
      "30-34 {'合格': 14, '良好': 8, '不合格': 11, '优秀': 1}\n",
      "35-39 {'良好': 7, '优秀': 3, '合格': 16, '不合格': 8}\n",
      "40-44 {'良好': 9, '合格': 11, '优秀': 1, '不合格': 4}\n",
      "45-49 {'良好': 5, '优秀': 2, '合格': 6, '不合格': 3}\n",
      "50-54 {'良好': 3, '合格': 14, '优秀': 2, '不合格': 3}\n",
      "55-59 {'不合格': 7, '合格': 6, '优秀': 0, '良好': 2}\n",
      "60-69 {'良好': 1}\n"
     ]
    }
   ],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n",
    "filename = 'data/result_东营设计院.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",
    "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'] == 0:\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": "c91526fb-8686-49b8-8fee-bbcf8a932952",
   "metadata": {},
   "source": [
    "### 计算各年龄段测试等级(女）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b7b44be3-8cf1-48e6-a4a6-adfccdb8c0a9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-12T13:38:24.872938Z",
     "iopub.status.busy": "2023-04-12T13:38:24.872071Z",
     "iopub.status.idle": "2023-04-12T13:38:24.900110Z",
     "shell.execute_reply": "2023-04-12T13:38:24.899005Z",
     "shell.execute_reply.started": "2023-04-12T13:38:24.872897Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20-24 {'合格': 3, '良好': 4, '不合格': 1, '优秀': 1}\n",
      "25-29 {'不合格': 0, '合格': 6, '优秀': 2, '良好': 9}\n",
      "30-34 {'合格': 15, '良好': 7, '不合格': 2, '优秀': 3}\n",
      "35-39 {'良好': 13, '优秀': 6, '合格': 10, '不合格': 0}\n",
      "40-44 {'良好': 10, '合格': 5, '优秀': 6, '不合格': 0}\n",
      "45-49 {'良好': 4, '优秀': 3, '合格': 4, '不合格': 0}\n",
      "50-54 {'良好': 3, '合格': 9, '优秀': 2, '不合格': 1}\n",
      "55-59 {'不合格': 0, '合格': 1, '优秀': 1, '良好': 2}\n",
      "60-69 {'良好': 0}\n"
     ]
    }
   ],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n",
    "filename = 'data/result_东营设计院.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",
    "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'] == 1:\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": "4fdbe127-494d-463b-8dc2-4c5126a48dcc",
   "metadata": {},
   "source": [
    "### 按照部门计算平均成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "975bb98b-a00c-4a34-b9a3-fe9975c12641",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-12T13:51:18.537293Z",
     "iopub.status.busy": "2023-04-12T13:51:18.536443Z",
     "iopub.status.idle": "2023-04-12T13:51:18.557426Z",
     "shell.execute_reply": "2023-04-12T13:51:18.556451Z",
     "shell.execute_reply.started": "2023-04-12T13:51:18.537253Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "管道工程设计所 3.19 19\n",
      "建筑设计所 3.03 15\n",
      "机械设备所 3.31 24\n",
      "油气工艺设计所 2.96 18\n",
      "工程勘察公司 3.12 33\n",
      "水处理及热力工程设计所 2.85 25\n",
      "自控通信所 3.13 20\n",
      "海洋工程设计所 3.04 26\n",
      "电力设计所 3.07 19\n",
      "智能化研究中心 3.04 28\n",
      "HSE管理部 3.44 1\n",
      "项目管理中心 3.1 17\n",
      "节能环保工程技术中心 3.1 18\n",
      "技术发展中心 2.7 10\n",
      "工程监理公司 3.16 7\n",
      "工程造价中心 2.94 9\n",
      "档案管理中心 3.15 8\n",
      "国际工程管理部 3.11 6\n",
      "党群工作部 3.78 1\n",
      "市场开发部 2.8 7\n",
      "综合服务中心 2.96 12\n",
      "技术质量部 3.67 2\n",
      "财务资产部 2.93 9\n",
      "综合管理部 2.94 2\n"
     ]
    }
   ],
   "source": [
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "depart = []\n",
    "for k, v in dict1.items():\n",
    "    if v['unit'] not in depart:\n",
    "        depart.append(v['unit'])\n",
    "\n",
    "for item in depart:\n",
    "    score = 0\n",
    "    n = 0\n",
    "    for k, v in dict1.items():\n",
    "        if item == v['unit']:\n",
    "            score = score + v['score']\n",
    "            n = n +1 \n",
    "    print(item,round(score/n,2),n)\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d5eb757-3dc0-407d-9281-23fa3de037e2",
   "metadata": {},
   "source": [
    "### 计算各项目成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f51baed5-8d03-4d33-8d68-37ac13f9a47d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-12T13:59:23.343983Z",
     "iopub.status.busy": "2023-04-12T13:59:23.343101Z",
     "iopub.status.idle": "2023-04-12T13:59:23.365478Z",
     "shell.execute_reply": "2023-04-12T13:59:23.364375Z",
     "shell.execute_reply.started": "2023-04-12T13:59:23.343942Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "体重 3.53\n",
      "肺活量 3.57\n",
      "握力 2.15\n",
      "坐位体前屈 2.64\n",
      "纵跳 2.8\n",
      "俯卧撑 3.19\n",
      "一分钟仰卧起坐 4.27\n",
      "单脚站立 2.94\n",
      "选择反应时 3.75\n",
      "台阶指数 2.56\n"
     ]
    }
   ],
   "source": [
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \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",
    "for item in items:\n",
    "    score = 0\n",
    "    n = 0\n",
    "    for k, v in dict1.items():\n",
    "        if item in v.keys():\n",
    "            n = n + 1\n",
    "            score =score + int(v[item]['得分'])\n",
    "    print(item,round(score/n,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1617ddd9-b744-48a3-a4d5-1166b16821cb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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