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512song c15628a109 20231225

2023-12-25 23:22:18 +08:00

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第一次体测

人员信息导入

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/农业银行测试名单.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    if sheet.cell(n,1).value is not None:
        code = int(sheet.cell(n, 2).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 3).value
        if sheet.cell(n, 4).value ==1:
            sex = '男'
        else:
            sex = '女'
        dict1['sex'] = sex
        birth = str(sheet.cell(n, 5).value).split()[0]
        dict1['birth'] = birth
        dict1['unit'] = sheet.cell(n, 1).value
        if sheet.cell(n,10).value is not None:
            dict1['phone'] = sheet.cell(n, 10).value        
        person[code] = dict1

filename = 'data/北京农行人员名单.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

成绩导入

In [ ]:

import json
import time
import csv

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
re_ta = {}
dict1 = {}
list1 = []
filename = 'data/北京农行人员名单all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20230918.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)
for result in list1:
    user = str(result[2])
    if user in dict1.keys():        
        m_item = str(result[3])    
        re_ta.setdefault(user,{})    
        re_ta[user]['name'] = dict1[user]['name']
        re_ta[user]['sex'] = dict1[user]['sex'] 
        re_ta[user]['unit'] = dict1[user]['unit']
        item_name = item[m_item]['name']
        re_ta[user].setdefault(item_name,{})  
        score = int(result[4])/item[m_item]['divisor']    
        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
        re_ta[user][item_name]['得分'] = result[5]
print(len(re_ta))
filename = 'data/result_北京农行.json'

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

成绩导出

In [ ]:

import json
import openpyxl

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']
title = ['编号','姓名','性别','单位','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']

filename = 'data/result_北京农行.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/北京农行人员名单all.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
for k, v in dict1.items():
    list2 = []
    list2.append(str(k).rjust(5,'0'))
    list2.append(v['name'])    
    list2.append(dict2[k]['sex'])
    list2.append(dict2[k]['unit'])
    for item in items:
        if item in v.keys():
            list2.append(v[item]['成绩'])  
            list2.append(v[item]['得分']) 
        elif item =='name':
            list2.append(v[item])
        else:
            list2.append('') 
            list2.append('')  
    list1.append(list2)
filename = 'data/北京农行体测情况.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

报告按部门分类更名

In [ ]:

import os,sys,shutil
import json
import math
import glob
from pathlib import Path

fi_path = 'file/2023-05-23'
old = []
dict2 = {}

filename = 'data/result_北京农行.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

for k, v in dict1.items():
    m_name = v['name']
    m_depart = v['unit']    
    dict2[int(k)] = [m_name,m_depart]

fls = glob.glob(f'{fi_path}/*.pdf')

for fn in fls:
    old.append(os.path.basename(fn).split('.')[0])

for n in old:    
    o_name = f'{fi_path}/{n}.pdf'
    new_path = Path(fi_path,'new',dict1[n]['unit'])
    new_path.mkdir(parents = True, exist_ok = True)
    n_name = Path(new_path,f'{str(n).rjust(5,"0")}-{dict2[int(n)][0]}.pdf')
    if not os.path.exists(n_name):
        shutil.copyfile(o_name,n_name)
        print(n_name)
    
print('ok')

生成人员电话信息表

In [ ]:

import json
import openpyxl
wb = openpyxl.load_workbook('data/农业银行测试手机号码统计表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}

for n in range(2, sheet.max_row+1):
    if sheet.cell(n,5).value is not None:
        phone = str(sheet.cell(n, 5).value)
        dict1.setdefault(phone,{})
        code = str(sheet.cell(n, 2).value)
        unit = sheet.cell(n, 1).value
        name = sheet.cell(n, 3).value
        sex = sheet.cell(n, 4).value
        dict1[phone]['code'] = code
        dict1[phone]['name'] = name
        #dict1[phone]['unit'] = unit
        #dict1[phone]['sex'] = sex
filename = 'data/农业银行测试手机号码.json'

with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print(len(dict1))

生成验证码

In [ ]:

import random
import json

code_list = []
for i in range(10):   # 0~9
    code_list.append(str(i))
    
list1 = []
#print(code_num)
i = 1
while i < 165:
    code = random.sample(code_list,6)   #随机取6位数
    code_num = ''.join(code)
    if code_num not in list1:
        list1.append(code_num)
        i +=1
print(len(list1))
print(list1)
i = 0
filename = 'data/农业银行测试手机号码.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for k, v in dict1.items():
    dict1[k]['yzm'] = list1[i]
    i +=1
with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False)

生成下载链接

In [ ]:

filename = 'data/农业银行测试手机号码.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
dict2 = {}
for k, v in dict1.items():
    dict2.setdefault(v['yzm'],{})
    dict2[v['yzm']]['code'] = v['code']
    dict2[v['yzm']]['name'] = v['name']
print(len(dict2))
filename = 'data/yzm.json'
with open(filename,'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False)

发送短信

In [ ]:

import json
from tencentcloud.common import credential
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.sms.v20210111 import sms_client, models
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
try:    
    secretId = "AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc"
    secretKey = "51XVL1YxDKI6mJh8au6DDuTskS1RhwJX"
    cred = credential.Credential(secretId, secretKey) 
    httpProfile = HttpProfile()
    httpProfile.reqMethod = "POST"  # post请求(默认为post请求)
    httpProfile.reqTimeout = 30    # 请求超时时间，单位为秒(默认60秒)
    httpProfile.endpoint = "sms.tencentcloudapi.com"  # 指定接入地域域名(默认就近接入)
    clientProfile = ClientProfile()
    clientProfile.signMethod = "TC3-HMAC-SHA256"  # 指定签名算法
    clientProfile.language = "en-US"
    clientProfile.httpProfile = httpProfile
    client = sms_client.SmsClient(cred, "ap-guangzhou", clientProfile)
    req = models.SendSmsRequest()
    req.SmsSdkAppId = "1400140089"
    req.SignName = "坤铭教育"
    req.TemplateId = "1875765"    
    req.TemplateParamSet = ["北京石油分公司体测者","01740518"]
    req.PhoneNumberSet = ["+8613793180751"]
    req.SessionContext = ""
    req.ExtendCode = ""
    req.SenderId = ""
    resp = client.SendSms(req)
    print(resp.to_json_string(indent=2))
except TencentCloudSDKException as err:
    print(err)

In [ ]:

dict1 = json.loads(resp.to_json_string(indent=2))
print(dict1['SendStatusSet'][0]["Message"])

批量发送短信（测试）

In [ ]:


from tencentcloud.common import credential
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.sms.v20210111 import sms_client, models
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
import json

filename = 'data/短信测试手机号码.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for k, v in dict1.items():
    phone = '+86'+str(k)
    yzm = v['yzm']
    try:    
        secretId = "AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc"
        secretKey = "51XVL1YxDKI6mJh8au6DDuTskS1RhwJX"
        cred = credential.Credential(secretId, secretKey) 
        httpProfile = HttpProfile()
        httpProfile.reqMethod = "POST"  # post请求(默认为post请求)
        httpProfile.reqTimeout = 30    # 请求超时时间，单位为秒(默认60秒)
        httpProfile.endpoint = "sms.tencentcloudapi.com"  # 指定接入地域域名(默认就近接入)
        clientProfile = ClientProfile()
        clientProfile.signMethod = "TC3-HMAC-SHA256"  # 指定签名算法
        clientProfile.language = "en-US"
        clientProfile.httpProfile = httpProfile
        client = sms_client.SmsClient(cred, "ap-guangzhou", clientProfile)
        req = models.SendSmsRequest()
        req.SmsSdkAppId = "1400140089"
        req.SignName = "坤铭教育"
        req.TemplateId = "1808914"    
        req.TemplateParamSet = [yzm]
        req.PhoneNumberSet = [phone]
        req.SessionContext = ""
        req.ExtendCode = ""
        req.SenderId = ""
        #resp = client.SendSms(req)
        dict2 = json.loads(resp.to_json_string(indent=2))

        print(v['name'],dict2['SendStatusSet'][0]["Message"])
    except TencentCloudSDKException as err:
        print(v['name'],err)

第二次体测

人员信息导入

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/北京分行员工体质检测情况表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    if sheet.cell(n,1).value is not None:
        code = int(sheet.cell(n, 1).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 3).value
        if sheet.cell(n, 4).value ==1:
            sex = '男'
        else:
            sex = '女'
        dict1['sex'] = sex
        birth = str(sheet.cell(n, 5).value).split()[0]
        dict1['birth'] = birth
        dict1['unit'] = sheet.cell(n, 2).value
        if sheet.cell(n,6).value is not None:
            dict1['phone'] = sheet.cell(n, 6).value        
        person[code] = dict1

filename = 'data/北京农行人员名单2308.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

成绩导入

In [ ]:

import json
import time
import csv

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
re_ta = {}
dict1 = {}
list1 = []
filename = 'data/北京农行人员名单2308.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20230825.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)
for result in list1:
    user = str(result[2])
    if user in dict1.keys():        
        m_item = str(result[3])    
        re_ta.setdefault(user,{})    
        re_ta[user]['name'] = dict1[user]['name']
        re_ta[user]['sex'] = dict1[user]['sex'] 
        re_ta[user]['unit'] = dict1[user]['unit']
        item_name = item[m_item]['name']
        re_ta[user].setdefault(item_name,{})  
        score = int(result[4])/item[m_item]['divisor']    
        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
print(len(re_ta))
filename = 'data/result_北京农行0825.json'

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

In [ ]:

import json
import time
import csv

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
re_ta = {}
dict1 = {}
list1 = []
filename = 'data/北京农行人员名单2308.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20230825.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)
for result in list1:
    user = str(result[2])
    if user in dict1.keys():        
        m_item = str(result[3])    
        re_ta.setdefault(user,{})    
        re_ta[user]['name'] = dict1[user]['name']
        re_ta[user]['sex'] = dict1[user]['sex'] 
        re_ta[user]['unit'] = dict1[user]['unit']
        item_name = item[m_item]['name']
        re_ta[user].setdefault(item_name,{})  
        score = int(result[4])/item[m_item]['divisor']    
        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
print(len(re_ta))
filename = 'data/result_北京农行0825.json'

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

查看项目不足人员

In [ ]:

import json
import time
import csv

filename = 'data/result_北京农行0825.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
i= 0
for k, v in dict1.items():
    if len(v.keys())< 8:
        print(k,v['name'])

导出测试人员信息

In [ ]:

import json
import openpyxl


filename = 'data/result_北京农行0825.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 =[]
for k, v in dict1.items():
    list2 = []
    list2 = [k,v['name'],v['sex'],v['unit']]
    list1.append(list2)
filename = 'data/北京农行测试人员202308.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list1:
    sheet.append(row)
    
wb.save(filename)

检查性别

In [ ]:

import json


filename = 'data/result_北京农行0825.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for k, v in dict1.items():
    if v['sex'] == '男' and '一分钟仰卧起坐' in v.keys():
        print(k,'应为女性！')
    if v['sex'] == '女' and '俯卧撑' in v.keys():
        print(k,'应为男性！')

手工数据生成SQL

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/北京农行测试人员202308.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}

data1 =list(sheet.values)
del data1[0]
list1 = []
for item in data1:
    code = int(item[0])
    list1.append((309118,code,5,item[4],'2023-08-23','2023-08-23 22:00:00'))
print(list1)

核对问卷人员信息

In [ ]:

import json
import csv


filename = 'data/北京农行人员名单2308.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
    
filename = 'data/Survey_20230913.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        code = str(line[4])
        name = line[3]
        
        if code not in dict1.keys() or name!= dict1[code]['name']:
            print(code,name)

合并人员信息

In [ ]:

import json

filename = 'data/北京农行人员名单2308.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/北京农行人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 
for k, v in dict2.items():
    dict1[k] = v
filename = 'data/北京农行人员名单all.json'

with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print(len(re_ta))

报告按部门分类

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path

fi_path = '/home/songyi/python/mycrm/flask/pdf/files/309118'
new_path = 'file/309118'
old = []
dict2 = {}

filename = 'data/北京农行人员名单all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
for fn in fls:
    fi_name =Path(fn).stem.split('-')[0]
    code = int(fi_name)
    unit_path = Path(new_path,dict1[str(code)]['unit'])
    unit_path.mkdir(parents = True, exist_ok = True)
    n_name = Path(unit_path,Path(fn).stem+'.pdf')
    if not os.path.exists(n_name):
        shutil.copyfile(fn,n_name)
        print(n_name)

生成体测报告打印明细表

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path
import openpyxl

fi_path = '/home/songyi/python/mycrm/flask/pdf/files/309118'
new_path = 'file/309118'
list1 = []
filename = 'data/北京农行人员名单all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
for fn in fls:
    list2 = []
    fi_name =Path(fn).stem.split('-')[0]    
    code = int(fi_name)
    unit = dict1[str(code)]['unit']
    list2 = [fi_name,Path(fn).stem.split('-')[1],unit]
    list1.append(list2)
filename = 'data/北京农行体测报告打印明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename) 
print('ok')

数据分析

获取清理后数据

In [ ]:

import json
import time
import csv

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
filename = 'data/北京农行人员名单all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

re_ta = {}
list1 = []
#print("\n运动项目信息：")
filename = 'data/places_result_20230922-1695356859947.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)
for result in list1:
    user = str(result[2])
    if user in dict1.keys():        
        m_item = str(result[3])    
        re_ta.setdefault(user,{})    
        re_ta[user]['name'] = dict1[user]['name']
        
        re_ta[user]['sex'] = dict1[user]['sex']
        re_ta[user]['birth'] = dict1[user]['birth'].replace('-','/')
        item_name = item[m_item]['name']
        re_ta[user].setdefault(item_name,{})  
        score = int(result[4])/item[m_item]['divisor']    
        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
        re_ta[user][item_name]['得分'] =result[5]

print(len(re_ta))
liwai = []
for k, v in re_ta.items():
    if (len(v)<8 and '身高' in v and '体重' in v) or (len(v)<7 and '身高' not in v and '体重' not in v) :
        liwai.append(k)
print(liwai)
for k in liwai:
    del re_ta[k]
print(len(re_ta))
filename = 'data/result_北京农行all.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print('ok')
print(len(re_ta))

计算人员年龄

In [49]:

import json
import datetime

filename = 'data/result_北京农行all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for k, v in dict1.items():
    #print(k,v)
    if '.' in v['birth']:
        birth = v['birth'].split()[0].split('.')
    else:
        birth = v['birth'].split()[0].split('/')
    
    nian = int(birth[0].strip())
    yue = int(birth[1].strip())
    ri = int(birth[2].strip())
    #print(k,nian,yue,ri)
    if int(k) < 199:
        days = (datetime.date(2023, 5, 11)-datetime.date(nian,yue,ri)).days
    else:
        days = (datetime.date(2023, 8, 24)-datetime.date(nian,yue,ri)).days
    v['age'] = int(days/365)
filename = 'data/result_北京农行all.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print('ok')

ok

汇总人员信息及成绩

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']

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    print(k)
    score = 0
    i = 0    
    for k1,v1 in v.items():  
        if k1 in items:
            score = score + int(v1['得分'])
            i+=1
    dict1[k]['score'] = round(score/i,2)            

with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print('ok')

计算测试等级

In [40]:

import 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')

with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

0~255分人数：107人,男性：60人,女性:47人
256~332分人数：229人,男性：83人,女性:146人
333~367分人数：128人,男性：35人,女性:93人
368~500分人数：58人,男性：16人,女性:42人
ok

根据年龄汇总人员信息及成绩

In [50]:

import json

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
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')

20~24岁平均成绩：2.74分，人数：40人,男性：16人
25~29岁平均成绩：2.98分，人数：102人,男性：48人
30~34岁平均成绩：2.98分，人数：107人,男性：38人
35~39岁平均成绩：3.1分，人数：95人,男性：27人
40~44岁平均成绩：3.19分，人数：37人,男性：14人
45~49岁平均成绩：3.13分，人数：66人,男性：23人
50~54岁平均成绩：3.07分，人数：60人,男性：13人
55~69岁平均成绩：2.85分，人数：15人,男性：15人

根据年龄汇总人员信息及成绩（男）

In [51]:

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：{round(score/i,2)}分，人数：{i}人')
    else:
        print(f'{di}~{gao}岁平均成绩：0分，人数：0人')

20~24岁平均成绩：2.75分，人数：16人
25~29岁平均成绩：2.85分，人数：48人
30~34岁平均成绩：2.81分，人数：38人
35~39岁平均成绩：3.01分，人数：27人
40~44岁平均成绩：2.99分，人数：14人
45~49岁平均成绩：2.88分，人数：23人
50~54岁平均成绩：2.87分，人数：13人
55~80岁平均成绩：2.85分，人数：15人

根据年龄汇总人员信息及成绩（女）

In [52]:

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'] == '女':
            score = score+v['score']
            i+=1
    if i >0:
            print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')
    else:
        print(f'{di}~{gao}岁平均成绩：0分，人数：0人')

20~24岁平均成绩：2.73分，人数：24人
25~29岁平均成绩：3.1分，人数：54人
30~34岁平均成绩：3.07分，人数：69人
35~39岁平均成绩：3.14分，人数：68人
40~44岁平均成绩：3.31分，人数：23人
45~49岁平均成绩：3.27分，人数：43人
50~54岁平均成绩：3.13分，人数：47人
55~80岁平均成绩：0分，人数：0人

计算平均成绩

In [45]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
#filename = 'data/result_石家庄.json'
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/522,4)}分，总体：522人')

平均成绩：2.8683分，男性：194人
平均成绩：3.1148分，女性：328人
平均成绩：3.0232分，总体：522人

计算各年龄段测试等级(女）

In [53]:

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)

20-24 {'良好': 1, '合格': 15, '不合格': 7, '优秀': 1}
25-29 {'合格': 25, '良好': 19, '不合格': 7, '优秀': 3}
30-34 {'合格': 31, '不合格': 11, '优秀': 8, '良好': 19}
35-39 {'合格': 31, '不合格': 10, '良好': 15, '优秀': 12}
40-44 {'良好': 10, '合格': 7, '优秀': 4, '不合格': 2}
45-49 {'优秀': 6, '合格': 18, '良好': 16, '不合格': 3}
50-54 {'不合格': 7, '合格': 19, '优秀': 8, '良好': 13}
55-80 {'良好': 0, '合格': 0, '不合格': 0, '优秀': 0}

计算各年龄段测试等级(男）

In [55]:

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)

20-24 {'良好': 3, '合格': 7, '不合格': 6, '优秀': 0}
25-29 {'合格': 22, '良好': 8, '不合格': 15, '优秀': 3}
30-34 {'合格': 16, '不合格': 12, '优秀': 3, '良好': 7}
35-39 {'合格': 12, '不合格': 7, '良好': 4, '优秀': 4}
40-44 {'良好': 3, '合格': 5, '优秀': 2, '不合格': 4}
45-49 {'优秀': 1, '合格': 10, '良好': 5, '不合格': 7}
50-54 {'不合格': 4, '合格': 5, '优秀': 2, '良好': 2}
55-80 {'良好': 3, '合格': 6, '不合格': 5, '优秀': 1}

计算各项目成绩

In [48]:

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

体重 3.8 517
肺活量 3.73 518
握力 1.88 519
坐位体前屈 2.93 503
纵跳 2.54 505
俯卧撑 3.64 184
一分钟仰卧起坐 4.29 303
单脚站立 2.57 514
选择反应时 3.19 488
台阶指数 2.57 486

百日筑基

整理人员信息

In [62]:

import json
import openpyxl

filename = 'data/北京农行人员名单all.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
list1 = ['握力组', '平衡组', '平和质', '气虚质', '阳虚质', '阴虚质', '痰湿质', '湿热质', '血瘀质', '气郁质', '特禀质']    
wb = openpyxl.load_workbook('data/北京农行体测分组情况.xlsx')
#sheet = wb.active
#sheets = wb.sheetnames
for item in list1:
    sheet  = wb[item]
    for n in range(2, sheet.max_row+1):
        if sheet.cell(n,1).value is not None:
            code = int(sheet.cell(n, 1).value)
            person.setdefault(code, {})
            dict1 = {}
            dict1['name'] = dict2[str(code)]['name']
            dict1['phone'] = dict2[str(code)]['phone']
            dict1['unit'] = item
            name = sheet.cell(n, 2).value
            person[code] = dict1

filename = 'data/北京农行百日筑基.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

ok

人员分组

In [66]:

import json

item = {
    '血瘀质':'term_6547430d71970_aIWYoQ',
    '湿热质':'term_6547428956b35_BlEnpY',
    '痰湿质':'term_654742123c1bd_hPSDR4',
    '气虚质':'term_654741bc7c0fe_bf0PLC',
    '气郁质':'term_6547415695b85_5FAHbR',
    '阴虚质':'term_654740fdb2e6b_0pBU7m',
    '阳虚质':'term_654740777e521_tsKUsG',
    '特禀质':'term_65473fd157db4_FmXOE9',
    '平和质':'term_65473f50247a5_bGI0dX',
    '平衡组':'term_65473efbcc37f_dJgc2H',
    '握力组':'term_65472c788dbf6_5Hj3iw'
}
filename = 'data/北京农行百日筑基.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for k, v in dict1.items():
    url = 'https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/'+item[v['unit']]
    print(v['unit'],url)

气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
痰湿质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654742123c1bd_hPSDR4
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
痰湿质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654742123c1bd_hPSDR4
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
血瘀质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547430d71970_aIWYoQ
平和质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473f50247a5_bGI0dX
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
血瘀质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547430d71970_aIWYoQ
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
平和质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473f50247a5_bGI0dX
痰湿质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654742123c1bd_hPSDR4
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
血瘀质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547430d71970_aIWYoQ
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
平和质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473f50247a5_bGI0dX
气郁质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547415695b85_5FAHbR
阴虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740fdb2e6b_0pBU7m
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
阴虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740fdb2e6b_0pBU7m
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
痰湿质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654742123c1bd_hPSDR4
平衡组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473efbcc37f_dJgc2H
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
气郁质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547415695b85_5FAHbR
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
平和质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473f50247a5_bGI0dX
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
平衡组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473efbcc37f_dJgc2H
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
痰湿质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654742123c1bd_hPSDR4
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
湿热质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_6547428956b35_BlEnpY
平和质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473f50247a5_bGI0dX
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
阳虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654740777e521_tsKUsG
气虚质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_654741bc7c0fe_bf0PLC
平和质 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65473f50247a5_bGI0dX
握力组 https://appvaCALBPV5946.h5.xiaoeknow.com/p/course/camp/term_65472c788dbf6_5Hj3iw
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In [ ]:

106 KiB Raw Blame History

第一次体测

人员信息导入

成绩导入

成绩导出

报告按部门分类更名

生成人员电话信息表

生成验证码

生成下载链接

发送短信

批量发送短信（测试）

第二次体测

人员信息导入

成绩导入

查看项目不足人员

导出测试人员信息

检查性别

手工数据生成SQL

核对问卷人员信息

合并人员信息

报告按部门分类

生成体测报告打印明细表

数据分析

获取清理后数据

计算人员年龄

汇总人员信息及成绩

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

百日筑基

整理人员信息

人员分组

106 KiB

Raw Blame History