From 80d40619c19717006083eb2bd55312666997e30c Mon Sep 17 00:00:00 2001 From: 512song Date: Thu, 26 Oct 2023 05:12:17 +0000 Subject: [PATCH] 20231026 --- 体测单位/天津石化.ipynb | 1 + 体测单位/政法委.ipynb | 751 +++++++++++++++++++++++++++++++++++++--- 2 files changed, 697 insertions(+), 55 deletions(-) diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb index dbfddb1..20bd22b 100644 --- a/体测单位/天津石化.ipynb +++ b/体测单位/天津石化.ipynb @@ -1491,6 +1491,7 @@ "cell_type": "markdown", "id": "73524e7f-4262-46d3-a733-74ac18e43855", "metadata": { + "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ diff --git a/体测单位/政法委.ipynb b/体测单位/政法委.ipynb index d5925c6..081af41 100644 --- a/体测单位/政法委.ipynb +++ b/体测单位/政法委.ipynb @@ -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": []