jupyter/体测单位/农工党延庆支部.ipynb at 9a4fd0cfe8ed6716c72201ccaa9f9e3379e5e6f5

512song/jupyter

0 Fork 0

Files

T

512song 9a4fd0cfe8 20231128

2023-11-28 08:20:05 +00:00

23 KiB

Raw Blame History

体测人员导入

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/农工党延庆支部人员名单.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = str(sheet.cell(n, 4).value)
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 1).value
    dict1['unit'] = '农工党延庆支部'
    dict1['sex'] = sheet.cell(n, 2).value
    nianyue = str(sheet.cell(n,3).value).replace('.','-')+'-01'
    dict1['birth'] = nianyue
    person[code] = dict1
filename = 'data/农工党延庆支部.json'
print(len(person))
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

导入问卷信息

In [ ]:

import json
import csv
import openpyxl
from datetime import date


filename = 'data/农工党延庆支部.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)


list1 = []
filename = 'data/Survey_20231121.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append(line)
dict2 = {}
m_rq = '2023-11-20'
rq= date.fromisoformat(m_rq.replace('/','-'))
for item in list1:
    if item[2] in dict1.keys(): 
        dict2[str(item[2])] = dict1[str(item[2])]
        rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])        
        tcm = []
        for i in range(0,60):
            tcm.append(0)
        content = json.loads(item[5])       
        for k, v in content.items():            
            i = int(k[1:])
            tcm[i-1] = int(v)
        dict2[str(item[2])]['tcm'] = tcm
        birth = date.fromisoformat(dict1[str(item[2])]['birth'].replace('/','-'))

        days =  (rq-birth).days          
        dict2[str(item[2])]['age'] = int(days/365)
        dict2[str(item[2])]['month'] = int(days/365*12)
print(len(dict2))
filename = 'data/result_农工党延庆支部问卷.json'

with open(filename,'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False)

统计未参加问卷人员信息

In [ ]:

import json
import csv
import openpyxl

filename = 'data/农工党延庆支部.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 


list1 = []
filename = 'data/Survey_20231121.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append(line)
#print(list1)
phone1 = set()
for result in list1:
    phone1.add(result[2])

for k, v in dict1.items():
    if k not in phone1:
        print(k,v['name'])

In [ ]:

import json
import csv
import openpyxl

filename = 'data/农工党延庆支部.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 


filename = 'data/Survey_20231121.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append(line)
for item in list1:
    if item[2] not in dict1.keys():
        print(item[2])

生成报告

In [12]:

import requests
import json



headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_农工党延庆支部问卷.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
fiie_path ='./政法委1/'
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i = 27
list2 = []
for k,v in dict1.items():    
    list1 = []
    mydata = {}    
    id = k.rjust(3,"0")
    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'
    mydata['title'] = '农工党延庆支部'
    #mydata['subtitle'] = ''
    mydata['id'] = id
    mydata['name'] = v['name']
    if v['sex'] == '男':
        mydata['gender'] = 'male'
    else:
        mydata['gender'] = 'female'    
    mydata['month'] = v['month']
    
    if 'tcm' in v.keys():
        mydata.setdefault('surveys',{})
        mydata['surveys']['tcm'] = v['tcm']
        
    mydata['fits'] = {}
    #mydata.setdefault('fits',{})
    for item in list_item:
        if item in dict1[k].keys():
            if item in ['lung','pushup','step','situp']:
                mark = dict1[k][item]['成绩'].split()[0].split('.')[0]
            else:
                mark = dict1[k][item]['成绩'].split()[0]
            mydata['fits'][item] = {'mark':mark,'score':dict1[k][item]['score']}
    #print(mydata)        
           
    list1.append(mydata)
    #list2.append([k,dict1[k]['name']])

    x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)
    print(id,dict1[k]['name'],x.text)
    x.close()
    #print(mydata)

15010721720 吕毅夫 {"errmsg":"ok"}
13911532480 王若云 {"errmsg":"ok"}
15810430182 赵凤龙 {"errmsg":"ok"}
17778112523 蔡丽娟 {"errmsg":"ok"}
15910393682 吴晨晨 {"errmsg":"ok"}
13241607620 韦树鹏 {"errmsg":"ok"}
15201130595 刘均平 {"errmsg":"ok"}
18500858558 张超 {"errmsg":"ok"}
13911692169 郑文凯 {"errmsg":"ok"}
15910799757 王贝 {"errmsg":"ok"}
13911816920 王欣 {"errmsg":"ok"}
13621168106 赵颖 {"errmsg":"ok"}
13683643617 周娟 {"errmsg":"ok"}
15010369810 黄俊平 {"errmsg":"ok"}
13810927023 高丽 {"errmsg":"ok"}
15210546702 杨海燕 {"errmsg":"ok"}
15010601650 于永华 {"errmsg":"ok"}
15910799750 韩骐 {"errmsg":"ok"}
13784086161 霍莉媛 {"errmsg":"ok"}
15810404851 王建斌 {"errmsg":"ok"}
15810830119 奚晓亮 {"errmsg":"ok"}
13651123781 马海涛 {"errmsg":"ok"}
13651357627 高桂所 {"errmsg":"ok"}
13718793001 乔金梅 {"errmsg":"ok"}

数据分析

清理报告数据

In [ ]:

import json

filename = 'data/result_政法委new.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

    
#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']
items = {}
items['lung'] = '肺活量'
items['grip'] ='握力'
items['flexion'] ='坐位体前屈'
items['jump'] ='纵跳'
items['pushup'] ='俯卧撑'
items['balance'] ='单脚站立'
items['reaction'] ='选择反应时'
items['step'] ='台阶指数'
items['situp'] ='一分钟仰卧起坐'
items['bmi'] ='BMI'


list1 = []

list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i=1
list2 = []
dict2 = {}
for  k, v in dict1.items():
    list1 = []
    mydata = {}
    
    id = str(k).rjust(3,"0")
    mydata['unit'] = v['unit']
    mydata['name'] = v['name']
    mydata['sex'] = v['sex']
    mydata['month'] = v['month']
    age = int(v['month']/12)
    if age <20:
        mydata['age'] = 20
    else:
        mydata['age'] = int(v['month']/12)
    
    mydata['fits'] = {}
    score = 0
    for item in list_item:
        if item in v.keys():
            if item in ['lung','pushup','step','situp']:
                mark = v[item]['成绩'].split()[0].split('.')[0]
                n+=1
            else:
                mark = v[item]['成绩'].split()[0]
            mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}
            score = score + v[item]['score']
    
    #mydata['score'] = round(score/len(mydata['fits']),2)
    if len(mydata['fits']) >2:
        mydata['score'] = round(score/len(mydata['fits']),2)
        dict2[str(k)] = mydata
filename = f'data/data_政法委.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

计算测试等级

In [ ]:

import json

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']

filename = 'data/data_政法委.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]

for k1, v1 in dict2.items():
    di = v1[0]
    gao = v1[1]
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if int(v['score']*100) in range(di,gao+1):
            dict1[k]['level'] = k1
            i+=1
            if v['sex'] == '男':
                m = m +1
            else:
                f = f+1
    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')
print(len(dict1))

根据年龄汇总人员信息及成绩

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1):
            score = score+v['score']
            i+=1
            if v['sex'] == '男':
                m = m +1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')

根据年龄汇总人员信息及成绩（男）

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1) and v['sex'] == '男':
            score = score+v['score']
            i+=1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') 
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')

根据年龄汇总人员信息及成绩（女）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1) and v['sex'] == '女':
            score = score+v['score']
            i+=1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') 
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')

计算平均成绩

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
i = 1
m = 0
f = 0
score = 0
t_score = 0
for k,v in dict1.items():
    if v['sex'] == '男':
        m = m +1
        score = score+v['score']
print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')
t_score = t_score + score
score = 0
for k,v in dict1.items():
    if v['sex'] == '女':
        f = f +1
        score = score+v['score']
print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')
t_score = t_score + score
print(f'平均成绩：{round(t_score/25,4)}分，总体：25人')

计算测试等级

In [ ]:

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]

for k1, v1 in dict2.items():
    di = v1[0]
    gao = v1[1]
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if int(v['score']*100) in range(di,gao+1):
            dict1[k]['level'] = k1
            i+=1
            if v['sex'] == '男':
                m = m +1
            else:
                f = f+1
    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')
#filename = 'data/result_石家庄.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

计算各年龄段测试等级(女）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
dict3 = {}
for item in nld:
    di = item[0]
    gao = item[1]
    age = f'{di}-{gao}'
    dict3.setdefault(age,{})
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1):            
            dict3[age].setdefault(v['level'],0)
            if v['sex'] == '女':
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

计算各年龄段测试等级(男）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
dict3 = {}
for item in nld:
    di = item[0]
    gao = item[1]
    age = f'{di}-{gao}'
    dict3.setdefault(age,{})
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1):            
            dict3[age].setdefault(v['level'],0)
            if v['sex'] == '男':
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

计算各项目成绩

In [ ]:

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
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']
for item in items:
    score = 0
    n = 0
    for k, v in dict1.items():        
        if item in v['fits'].keys():
            n = n + 1
            score =score + int(v['fits'][item]['score'])
    print(item,round(score/n,2),n)

In [ ]:

23 KiB Raw Blame History

体测人员导入

导入问卷信息

统计未参加问卷人员信息

生成报告

数据分析

清理报告数据

计算测试等级

根据年龄汇总人员信息及成绩

根据年龄汇总人员信息及成绩（男）

根据年龄汇总人员信息及成绩（女）

计算平均成绩

计算测试等级

计算各年龄段测试等级(女）

计算各年龄段测试等级(男）

计算各项目成绩

23 KiB

Raw Blame History