512song/jupyter
1
0 Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

20231203

Browse Source
This commit is contained in:
512song committed 2023-12-03 15:04:51 +08:00
1 parent b33bbbd408
commit de6a5be703
3 files changed
+1026 -71
Download Patch File Download Diff File Expand all files Collapse all files

No files matched your search

体测单位/长炼医院.ipynb
+532 -8
View File
@@ -4,7 +4,6 @@
"cell_type": "markdown",
"id": "55644860-57e6-466b-b6e9-e6fdd807498d",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
@@ -14,7 +13,9 @@
{
"cell_type": "markdown",
"id": "d4d999fe-4890-4a14-b1e8-52dbd6d42e73",
"metadata": {},
"metadata": {
"tags": []
},
"source": [
"## 导入人员信息"
]
@@ -250,12 +251,28 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 76,
"id": "033cc564-4aa9-4e88-b38b-ec62a02b1661",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-02T09:09:44.065510Z",
"iopub.status.busy": "2023-12-02T09:09:44.065032Z",
"iopub.status.idle": "2023-12-02T09:09:44.126813Z",
"shell.execute_reply": "2023-12-02T09:09:44.126202Z",
"shell.execute_reply.started": "2023-12-02T09:09:44.065472Z"
},
"tags": []
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"436\n",
"436\n"
]
}
],
"source": [
"import json\n",
"import datetime\n",
@@ -289,7 +306,7 @@
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20230830.csv'\n",
"filename = 'data/places_result_20231202.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
@@ -300,7 +317,9 @@
"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
"for result in list1:\n",
" user = str(result[2])\n",
" if user in dict1.keys():\n",
" item_id = int(result[3])\n",
" performance = int(result[4])\n",
" if user in dict1.keys() and (item_id!=3 and performance>0):\n",
" l_xm = []\n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
@@ -850,6 +869,7 @@
"cell_type": "markdown",
"id": "b07923fd-94da-4b86-8902-523d3ebc3d1b",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
@@ -860,6 +880,7 @@
"cell_type": "markdown",
"id": "6ba73ead-6715-46a6-b4a9-3a00b733b151",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
@@ -1540,7 +1561,10 @@
{
"cell_type": "markdown",
"id": "6cd42cb2-37a4-44e8-87cb-afd71b32e81f",
"metadata": {},
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"# 教师体测"
]
@@ -1958,10 +1982,510 @@
" print(f'{item}平均成绩：{round(t_score/(f+m),4)}分，总体：{f+m}人')"
]
},
{
"cell_type": "markdown",
"id": "78942564-c286-4f4e-8d89-515a2b4b4c86",
"metadata": {},
"source": [
"# 员工数据分析"
]
},
{
"cell_type": "markdown",
"id": "ee99edaa-700f-4eb3-bcf9-1366d4fefd76",
"metadata": {},
"source": [
"## 获取人员测试成绩"
]
},
{
"cell_type": "code",
"execution_count": 89,
"id": "48f91581-2556-40d0-b0fe-ee98edb3983f",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-02T09:37:33.794840Z",
"iopub.status.busy": "2023-12-02T09:37:33.794387Z",
"iopub.status.idle": "2023-12-02T09:37:33.887950Z",
"shell.execute_reply": "2023-12-02T09:37:33.887437Z",
"shell.execute_reply.started": "2023-12-02T09:37:33.794797Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"436\n",
"436\n"
]
}
],
"source": [
"import json\n",
"import datetime\n",
"import csv\n",
"from datetime import date\n",
"\n",
"filename = '../item.json'\n",
"item = {}\n",
"unit = {}\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"for k,v in dict1.items():\n",
" item[k] = v\n",
"item['1']['en'] = 'lung'\n",
"item['2']['en'] = 'grip'\n",
"item['3']['en'] = 'flexion'\n",
"item['4']['en'] = 'jump'\n",
"item['5']['en'] = 'pushup'\n",
"item['6']['en'] = 'balance'\n",
"item['7']['en'] = 'reaction'\n",
"item['8']['en'] = 'step'\n",
"item['9']['en'] = 'situp'\n",
"item['10']['en'] = 'height'\n",
"item['11']['en'] = 'weight'\n",
"\n",
"\n",
"re_ta = {}\n",
"dict1 = {}\n",
"list1 = []\n",
"filename = 'data/长炼医院人员名单.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20231202.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
" list1.append(line)\n",
"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
"for result in list1:\n",
" user = str(result[2])\n",
" item_id = int(result[3])\n",
" performance = int(result[4])\n",
" rq = date.fromisoformat(result[6].replace('/','-'))\n",
" if user in dict1.keys() and (item_id!=3 or performance>0):\n",
" l_xm = []\n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
" re_ta[user]['name'] = dict1[user]['name']\n",
" re_ta[user]['sex'] = dict1[user]['sex']\n",
" if dict1[user]['sex'] == '男':\n",
" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
" else:\n",
" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
" re_ta[user]['unit'] = dict1[user]['unit']\n",
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
" #nian = int(birth[0].strip())\n",
" #yue = int(birth[1].strip())\n",
" #ri = int(birth[2].strip())\n",
" #print(k,nian,yue,ri)\n",
" item_name = item[m_item]['en'] \n",
" if item_name in l_xm: \n",
" days = (rq-birth).days \n",
" re_ta[user]['age'] = int(days/365)\n",
" re_ta[user]['month'] = int(days/365*12)\n",
" re_ta[user]['rq'] = result[6]\n",
"\n",
"\n",
" re_ta[user].setdefault(item_name,{}) \n",
" score = int(result[4])/item[m_item]['divisor'] \n",
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
"print(len(re_ta))\n",
"filename = 'data/result_长炼医院.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(re_ta, fl, ensure_ascii=False) \n",
"print(len(re_ta))"
]
},
{
"cell_type": "markdown",
"id": "35f5c65e-0efb-4870-9981-6f7a0b910ac2",
"metadata": {},
"source": [
"## 计算项目成绩"
]
},
{
"cell_type": "code",
"execution_count": 90,
"id": "160841a0-a092-4457-8ce0-fe39910c5da5",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-02T09:37:41.993070Z",
"iopub.status.busy": "2023-12-02T09:37:41.992677Z",
"iopub.status.idle": "2023-12-02T09:37:42.024279Z",
"shell.execute_reply": "2023-12-02T09:37:42.023829Z",
"shell.execute_reply.started": "2023-12-02T09:37:41.993038Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok!\n"
]
}
],
"source": [
"import json\n",
"import time\n",
"\n",
"filename = '../item.json'\n",
"item = {}\n",
"unit = {}\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl) \n",
"for k,v in dict3.items():\n",
" item[k] = v\n",
"item['1']['en'] = 'lung'\n",
"item['2']['en'] = 'grip'\n",
"item['3']['en'] = 'flexion'\n",
"item['4']['en'] = 'jump'\n",
"item['5']['en'] = 'pushup'\n",
"item['6']['en'] = 'balance'\n",
"item['7']['en'] = 'reaction'\n",
"item['8']['en'] = 'step'\n",
"item['9']['en'] = 'situp'\n",
"item['10']['en'] = 'height'\n",
"item['11']['en'] = 'weight'\n",
"\n",
"filename = 'data/体质检测标准 (1).json' \n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"\n",
"\n",
"def cal_score(data1):\n",
" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
" person = dict1['person']\n",
" criteria = dict1['criteria']\n",
" if data1['age'] >59:\n",
" data1['age'] = 59\n",
" if data1['age'] <20:\n",
" data1['age'] = 20\n",
" info = data1['sex']+str(data1['age'])\n",
" bz = person[info]\n",
" mx = criteria[bz][data1['item']]\n",
" result = data1['result'] \n",
" if data1['item'] == 'reaction':\n",
" for bz1 in mx:\n",
" if result > bz1:\n",
" #print(bz1)\n",
" score = mx.index(bz1,0)\n",
" break\n",
" else:\n",
" score = 5\n",
" else:\n",
" for bz1 in mx:\n",
" if result < bz1:\n",
" #print(bz1)\n",
" score = mx.index(bz1,0)\n",
" break\n",
" else:\n",
" score = 5\n",
" return(score)\n",
"filename = 'data/体质检测标准_BMI.json'\n",
"with open(filename,'r') as fl:\n",
" dict4 = json.load(fl) \n",
" \n",
"def cal_bmi(data1):\n",
" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
" person = dict4['person']\n",
" criteria = dict4['criteria']\n",
" if data1['age'] > 59:\n",
" data1['age'] = 59\n",
" if data1['age'] <20:\n",
" data1['age'] = 20\n",
" info = data1['sex']+str(data1['age'])\n",
" bz = person[info]\n",
" #print(bz)\n",
" result = data1['result']\n",
" #print(data1['code'],result)\n",
" height = int(float(result.split(',')[0]))\n",
" weight = float(result.split(',')[1])\n",
" if str(height) not in criteria[bz]:\n",
" score = 1\n",
" else: \n",
" mx = criteria[bz][str(height)]\n",
" if weight < mx[0]:\n",
" score = 1\n",
" elif weight < mx[1]:\n",
" score = 3\n",
" elif weight < mx[2]:\n",
" score = 5 \n",
" elif weight <= mx[3]:\n",
" score = 3 \n",
" elif weight > mx[3]:\n",
" score = 1\n",
" return score \n",
" \n",
"\n",
"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
"filename = 'data/result_长炼医院.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl) \n",
"for k, v in dict2.items():\n",
" #print(k)\n",
" if v['sex'] == '男':\n",
" sex = 'M'\n",
" else:\n",
" sex = 'F' \n",
" if 'height' in v.keys() and 'weight' in v.keys():\n",
" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
" dict2[k]['bmi'] = {}\n",
" dict2[k]['bmi']['成绩'] = bmi_data\n",
" dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
" for item_en in list_item:\n",
" if item_en in v.keys(): \n",
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
" dict2[k][item_en]['score'] = cal_score(data1)\n",
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
"\n",
"filename = f'data/result_长炼医院.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict2,fl , ensure_ascii=False) \n",
"print('ok!') "
]
},
{
"cell_type": "markdown",
"id": "bdded0c9-7616-4cf1-9788-8bb008944bee",
"metadata": {},
"source": [
"## 清理报告数据"
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "ed4c5a19-1c9e-4c63-8fdd-30b36ecc047a",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-02T09:37:46.266558Z",
"iopub.status.busy": "2023-12-02T09:37:46.266103Z",
"iopub.status.idle": "2023-12-02T09:37:46.337714Z",
"shell.execute_reply": "2023-12-02T09:37:46.336373Z",
"shell.execute_reply.started": "2023-12-02T09:37:46.266521Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"404\n",
"ok!\n"
]
}
],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"\n",
"filename = 'data/result_长炼医院.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",
"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(8,\"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",
" 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",
" if len(mydata['fits'])>0:\n",
" mydata['score'] = round(score/len(mydata['fits']),2)\n",
" if len(mydata['fits']) >2:\n",
" dict2[str(k)] = mydata\n",
"print(len(dict2))\n",
"filename = f'data/data_长炼医院.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict2,fl , ensure_ascii=False) \n",
"print('ok!') "
]
},
{
"cell_type": "markdown",
"id": "a802ad72-494f-4db5-93a0-9e2cd88a65fe",
"metadata": {},
"source": [
"## 计算测试等级"
]
},
{
"cell_type": "code",
"execution_count": 87,
"id": "14788ff3-0f3d-4ba2-b162-1f0663389a9d",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-02T09:30:14.828302Z",
"iopub.status.busy": "2023-12-02T09:30:14.827804Z",
"iopub.status.idle": "2023-12-02T09:30:14.849786Z",
"shell.execute_reply": "2023-12-02T09:30:14.848591Z",
"shell.execute_reply.started": "2023-12-02T09:30:14.828264Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0~255分人数：96人,男性：88人,女性:8人\n",
"256~332分人数：217人,男性：175人,女性:42人\n",
"333~367分人数：62人,男性：43人,女性:19人\n",
"368~500分人数：27人,男性：19人,女性:8人\n",
"402\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_长炼医院.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",
"\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": "ca9b178d-bcdc-40ff-afa4-15718f10a24a",
"metadata": {},
"source": [
"## 根据年龄汇总人员信息及成绩"
]
},
{
"cell_type": "code",
"execution_count": 88,
"id": "257917a2-5b29-4cd9-a798-4fd8e75ffe9c",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-02T09:30:49.967886Z",
"iopub.status.busy": "2023-12-02T09:30:49.967396Z",
"iopub.status.idle": "2023-12-02T09:30:49.987381Z",
"shell.execute_reply": "2023-12-02T09:30:49.986279Z",
"shell.execute_reply.started": "2023-12-02T09:30:49.967848Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：2.79分，人数：81人,男性：63人\n",
"25~29岁平均成绩：2.76分，人数：35人,男性：29人\n",
"30~34岁平均成绩：2.76分，人数：49人,男性：45人\n",
"35~39岁平均成绩：2.94分，人数：36人,男性：33人\n",
"40~44岁平均成绩：2.88分，人数：32人,男性：28人\n",
"45~49岁平均成绩：2.99分，人数：95人,男性：57人\n",
"50~54岁平均成绩：2.83分，人数：57人,男性：53人\n",
"55~69岁平均成绩：2.52分，人数：17人,男性：17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 = 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'] == '男':\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": "code",
"execution_count": null,
"id": "bb9c6bf3-8f84-4290-a60c-710517a399d5",
"id": "dcf80c81-907f-4397-8ebf-7b9234e63af1",
"metadata": {},
"outputs": [],
"source": []