jupyter/体测单位/东营石油工程设计院.ipynb at 140873c0bbf84877ae72a8b8e34043869a26cb63

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512song 140873c0bb 20230415

2023-04-15 13:16:52 +00:00

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导入人员信息

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .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, 4).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 6).value
        if sheet.cell(n, 7).value ==1:
            sex = '男'
        else:
            sex = '女'
        dict1['sex'] = sex
        dict1['unit'] = sheet.cell(n, 3).value


        person[code] = dict1
filename = 'data/东营工程设计院人员名单.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

获取人员测试成绩

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 = []
#print("\n运动项目信息：")
filename = 'data/141.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[4])
    m_item = str(result[0])    
    re_ta.setdefault(user,{})    
    re_ta[user]['name'] = str(result[6])
    re_ta[user]['unit'] = str(result[5])    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[1])/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[2]
filename = 'data/result_东营石油工程设计院.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl) 
print('ok')

获取人员测试成绩（新格式）

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

dict1 = {}
list1 = []
#print("\n运动项目信息：")
filename = 'data/141.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)
list2 = []
re_ta = {}
for result in list1:
    user = str(result[4])
    m_item = str(result[0])    
    re_ta.setdefault(user,{})    
    re_ta[user]['name'] = str(result[6])
    re_ta[user]['unit'] = str(result[5])    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[1])/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[2]
for k, v in re_ta.items():
    dict2 = {}
    dict2['code'] = k
    for k1, v1 in v.items():
        dict2[k1] = v1
    list2.append(dict2)
dict3 = {}
dict3['result'] = list2
filename = 'data/result_东营石油工程设计院(new).json'
with open(filename,'w') as fl:
    json.dump(dict3, fl) 
print('ok')

导出测试成绩

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/部门','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_东营石油工程设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/东营工程设计院人员名单.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'])            
        elif item =='name':
            list2.append(v[item])
        else:
            list2.append('') 
    list1.append(list2)
filename = 'data/东营石油工程设计院体测情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

In [ ]:

import json
import openpyxl
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
#SQL语句为：
#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id
filename = 'data/东营工程设计院人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 

list1 = []
#print("\n运动项目信息：")
filename = 'data/141.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)
dict3 = {}
for result in list1:
    user = result[2]
    if user in dict2.keys():
        dict3.setdefault(user,{})  
        dict3[user]['name'] = dict2[user]['name']
        dict3[user]['unit'] = dict2[user]['unit']

print(len(dict3))
list1 = []
for k, v in dict3.items():
    list2 = [k,v['name'],v['unit']]
    list1.append(list2)
filename = 'data/东营工程设计院参加测试人员情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

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

体测报告更名按部门分组

In [ ]:

import os,sys,shutil
import json
import math
import openpyxl
wb = openpyxl.load_workbook('data/东营工程设计院参加测试人员情况表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}
list_bh = []
depart = []
for n in range(1,sheet.max_row+1):
    dict1.setdefault(sheet.cell(n, 1).value,{})    
    m_depart = sheet.cell(n, 3).value
    dict1[sheet.cell(n, 1).value]['unit'] = m_depart
    dict1[sheet.cell(n, 1).value]['name'] = sheet.cell(n, 2).value
    if m_depart not in depart:
        depart.append(m_depart)
old = []

        
fi_path = 'file/141'


# 创建部门办公室    
m_path = 'file/141/new'
for pn in depart:
    if not os.path.exists(m_path + '/' + pn):
        os.mkdir(m_path + '/' + pn)
fl=os.listdir(fi_path)
for fn in fl:
    if os.path.isfile(fi_path + '/' + fn):
        ofn = int(fn.split('.')[0])
        old.append(ofn) 
old.sort()
for n in old:    
    o_name = f'{fi_path}/{n}.pdf'
    unit = dict1[str(n)]['unit']
    name = dict1[str(n)]['name']
    n_name = f'{m_path}/{unit}/{str(n).rjust(5,"0")}-{name}.pdf'
    #print(o_name,n_name)
    if not os.path.exists(n_name):
        shutil.copyfile(o_name,n_name)
        print(n_name)

体测报告分析

获取人员信息

In [ ]:

import json
import pymysql
import datetime

dict1 = {}
dict2 = {}
dict3 = {}

db = pymysql.connect(host = "localhost",user = "songyi",password = "yylzs",database = "ydyb" )
cursor = db.cursor()
sql = "SELECT b.avatar_id, a.name ,a.sex,a.birth FROM people as a,places_people as b WHERE a.id =b.people_id AND  b.place_id = 141"
cursor.execute(sql)
results = cursor.fetchall()
for result in results:
    bh = result[0]
    
    name = str(result[1]).strip()
    dict2.setdefault(bh,{})
    dict2[bh]['name'] = name
    dict2[bh]['sex'] = result[2]
    #dict2[bh]['birth'] = result[3]
    #print(result[3])
    days = (datetime.date(2023, 3, 6)-result[3]).days
    dict2[bh]['age'] = round(days/365)

filename = 'data/东营工程设计院人员信息.json'
with open(filename, 'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False)
print('ok')

获取人员及体测成绩

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
#SQL语句为：
#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id

re_ta = {}
dict1 = {}
list1 = []
#print("\n运动项目信息：")
filename = 'data/141.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[4])
    m_item = str(result[0])    
    re_ta.setdefault(user,{})    
    re_ta[user]['name'] = str(result[6])
    re_ta[user]['unit'] = str(result[5])    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[1])/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[2]
filename = 'data/result_东营设计院.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl) 
print('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']
filename = 'data/result_东营设计院.json'

with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/东营工程设计院人员信息.json'
with open(filename,'r') as fl:
    dict2 = 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]['age'] = dict2[k]['age']
    dict1[k]['sex'] = dict2[k]['sex']
    dict1[k]['score'] = round(score/i,2)
            
filename = 'data/result_东营设计院.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

根据年龄汇总人员信息及成绩

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]
filename = 'data/result_东营设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 1
    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'] == 0:
                m = m +1
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人,男性：{m}人')

计算平均成绩及等级

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]
filename = 'data/result_东营设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

i = 1
score = 0

m = 0
f = 0
for k,v in dict1.items():
    if v['sex'] == 0:
        m = m+v['score']
    else:
        f = f+v['score']
    score = score + v['score']

print(f'平均成绩：{round(score/336,2)}分，男性：{round(m/203,2)}分,女性：{round(f/133,2)}')

计算测试等级

In [ ]:

import json

filename = 'data/result_东营设计院.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]
filename = 'data/result_东营设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
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'] == 0:
                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_东营设计院.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

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],[55,59],[60,69]]
filename = 'data/result_东营设计院.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]
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'] == 0:
                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(女）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]
filename = 'data/result_东营设计院.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]
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'] == 1:
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

按照部门计算平均成绩

In [ ]:

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
depart = []
for k, v in dict1.items():
    if v['unit'] not in depart:
        depart.append(v['unit'])

for item in depart:
    score = 0
    n = 0
    for k, v in dict1.items():
        if item == v['unit']:
            score = score + v['score']
            n = n +1 
    print(item,round(score/n,2),n)

计算各项目成绩

In [ ]:

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))

使用JMESPath查询

In [70]:

from jmespath import search
filename = 'data/result_东营石油工程设计院(new).json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
unit = "建筑设计所"
data = search("result[?unit== '建筑设计所'].[name,unit]",dict1)
print(data)

[['张东红', '建筑设计所'], ['孙淑华', '建筑设计所'], ['靳永东', '建筑设计所'], ['张浩', '建筑设计所'], ['宁聪聪', '建筑设计所'], ['李磊', '建筑设计所'], ['尚华凯', '建筑设计所'], ['王修龙', '建筑设计所'], ['王剑', '建筑设计所'], ['李天萌', '建筑设计所'], ['崔华强', '建筑设计所'], ['王乙臻', '建筑设计所'], ['刘小燕', '建筑设计所'], ['韦盛', '建筑设计所'], ['张跃', '建筑设计所']]

In [ ]:

26 KiB Raw Blame History

导入人员信息

获取人员测试成绩

获取人员测试成绩（新格式）

导出测试成绩

体测报告更名按部门分组

体测报告分析

获取人员信息

获取人员及体测成绩

汇总人员信息及成绩

根据年龄汇总人员信息及成绩

计算平均成绩及等级

计算测试等级

计算各年龄段测试等级(男）

计算各年龄段测试等级(女）

按照部门计算平均成绩

计算各项目成绩

使用JMESPath查询

26 KiB

Raw Blame History