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512song committed 2023-10-26 05:12:17 +00:00
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体测单位/政法委.ipynb
+696 -55
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@@ -488,6 +488,7 @@
"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",
@@ -503,7 +504,7 @@
" if 'phone' in v.keys():\n",
" phone.add(v['phone'])\n",
"list1 = []\n",
"filename = 'data/Survey_20231023-1698026051370.csv'\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",
@@ -511,8 +512,10 @@
" #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",
" if item[2] in phone: \n",
" content = json.loads(item[5])\n",
" list2 = []\n",
" for i in range(0,60):\n",
@@ -524,8 +527,15 @@
"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",
" \n",
"filename = 'data/result_政法委new.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
@@ -630,51 +640,12 @@
},
{
"cell_type": "code",
"execution_count": 61,
"execution_count": null,
"id": "ab9b8e0c-53dd-4b93-a42a-7d1952b0423a",
"metadata": {
"execution": {
"iopub.execute_input": "2023-10-23T05:17:28.469311Z",
"iopub.status.busy": "2023-10-23T05:17:28.468525Z",
"iopub.status.idle": "2023-10-23T05:17:37.469379Z",
"shell.execute_reply": "2023-10-23T05:17:37.468756Z",
"shell.execute_reply.started": "2023-10-23T05:17:28.469237Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"041 尚建红 {\"errmsg\":\"ok\"}\n",
"043 刘玉琴 {\"errmsg\":\"ok\"}\n",
"044 姚晓颖 {\"errmsg\":\"ok\"}\n",
"045 李秀梅 {\"errmsg\":\"ok\"}\n",
"042 杨坡 {\"errmsg\":\"ok\"}\n",
"018 吴颖 {\"errmsg\":\"ok\"}\n",
"002 杜国华 {\"errmsg\":\"ok\"}\n",
"004 赵玉龙 {\"errmsg\":\"ok\"}\n",
"008 袁艳华 {\"errmsg\":\"ok\"}\n",
"006 李娟 {\"errmsg\":\"ok\"}\n",
"011 武利平 {\"errmsg\":\"ok\"}\n",
"019 朱牧然 {\"errmsg\":\"ok\"}\n",
"022 王建峰 {\"errmsg\":\"ok\"}\n",
"021 朱雪峰 {\"errmsg\":\"ok\"}\n",
"020 王往 {\"errmsg\":\"ok\"}\n",
"029 赵路扬 {\"errmsg\":\"ok\"}\n",
"030 张世涵 {\"errmsg\":\"ok\"}\n",
"031 刘苗苗 {\"errmsg\":\"ok\"}\n",
"032 王立军 {\"errmsg\":\"ok\"}\n",
"016 刘畅 {\"errmsg\":\"ok\"}\n",
"012 李春光 {\"errmsg\":\"ok\"}\n",
"014 梁艺 {\"errmsg\":\"ok\"}\n",
"017 程荣荣 {\"errmsg\":\"ok\"}\n",
"033 张和平 {\"errmsg\":\"ok\"}\n",
"015 李超 {\"errmsg\":\"ok\"}\n"
]
}
],
"outputs": [],
"source": [
"import requests\n",
"import json\n",
@@ -688,7 +659,7 @@
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"fiie_path ='./政法委/'\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",
@@ -697,8 +668,8 @@
" mydata = {} \n",
" id = k.rjust(3,\"0\")\n",
" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
" mydata['title'] = '政法委'\n",
" mydata['subtitle'] = v['unit']\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",
@@ -712,6 +683,7 @@
" 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",
@@ -719,19 +691,688 @@
" else:\n",
" mark = dict1[k][item]['成绩'].split()[0]\n",
" mydata['fits'][item] = {'mark':mark,'score':dict1[k][item]['score']}\n",
" if len(mydata['fits']) >2: \n",
" list1.append(mydata)\n",
" list2.append([k,dict1[k]['name']])\n",
" x = requests.post('http://192.168.1.148:3003', data = json.dumps(list1), headers=headers)\n",
" print(id,dict1[k]['name'],x.text)\n",
" #x.close()\n",
" #print(mydata)\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": 112,
"id": "c12bc25a-17d6-4dcf-b739-cfa9bbe4410f",
"metadata": {
"execution": {
"iopub.execute_input": "2023-10-26T04:23:58.525630Z",
"iopub.status.busy": "2023-10-26T04:23:58.525352Z",
"iopub.status.idle": "2023-10-26T04:23:58.532045Z",
"shell.execute_reply": "2023-10-26T04:23:58.531567Z",
"shell.execute_reply.started": "2023-10-26T04:23:58.525606Z"
},
"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：0人,男性：1人\n",
"30~34岁平均成绩：3.0分，人数：4人,男性：3人\n",
"35~39岁平均成绩：2.99分，人数：5人,男性：2人\n",
"40~44岁平均成绩：2.96分，人数：5人,男性：2人\n",
"45~49岁平均成绩：3.5分，人数：3人,男性：1人\n",
"50~54岁平均成绩：3.18分，人数：2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-1}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": 102,
"id": "5af094da-db54-4ab7-bbce-7329cb2fc1b1",
"metadata": {
"execution": {
"iopub.execute_input": "2023-10-26T03:53:27.018083Z",
"iopub.status.busy": "2023-10-26T03:53:27.017773Z",
"iopub.status.idle": "2023-10-26T03:53:27.025537Z",
"shell.execute_reply": "2023-10-26T03:53:27.025061Z",
"shell.execute_reply.started": "2023-10-26T03:53:27.018054Z"
},
"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": "272b7618-9a46-4f93-b2b9-e65519cd97c1",
"id": "ef75cdd8-d83e-48ab-9867-11102714202a",
"metadata": {},
"outputs": [],
"source": []