jupyter/体测单位/燕山石化.ipynb

导入人员信息

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/燕山石化人员情况表.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, 2).value
        if sheet.cell(n, 7).value ==1:
            sex = '男'
        else:
            sex = '女'
        dict1['sex'] = sheet.cell(n, 3).value
        birth = str(sheet.cell(n, 6).value).split()[0]
        dict1['birth'] = birth
        if sheet.cell(n,5).value is not None:
            dict1['phone'] = sheet.cell(n, 5).value
        if sheet.cell(n,7).value is not None:
            dict1['id_num'] = sheet.cell(n, 7).value
        if sheet.cell(n,8).value is not None:
            dict1['SAP'] = sheet.cell(n, 8).value
        if sheet.cell(n,9).value is not None:
            dict1['工作单位'] = sheet.cell(n, 9).value
        if sheet.cell(n,10).value is not None:
            dict1['车间'] = sheet.cell(n, 10).value
        else:
            dict1['车间'] =''
        if sheet.cell(n,11).value is not None:
            dict1['班组'] = sheet.cell(n, 11).value
        else:
            dict1['班组'] =''
        if sheet.cell(n,12).value is not None:
            dict1['工作性质'] = sheet.cell(n, 11).value
        person[code] = dict1
#jianyuan = [6484,7110,6441,6541,6543,6549,6555,6600,2958,2981,3033,3231,3249,3287,3228,7741,7749,7794,7799,7806,7837,7863,7870,7880,7894,7895,7904,7936,7947,7953,7958,7968,7969,7974,8086,8114]

print(len(person))
#for k in jianyuan:
#    if k in person.keys():
#        del person[k]
print(len(person))
#bianwai =[449,6839]
#for i in range(7139,7200):
#    bianwai.append(i)
#for k in bianwai:
#    if k in person.keys():
#        del person[k]
print(len(person))
filename = 'data/燕山石化人员名单.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

每日成绩导入

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/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20230517.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]['部门'] = dict1[user]['工作单位']
        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_燕山石化.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
for k in re_ta.keys():
    if k in dict2.keys():
        print(k,dict2[k]['name'],'已测试！')
for k, v in re_ta.items():
    if k not in dict2.keys():
        dict2[k] = v
    else:
        for k1,v1 in v.items():
            dict2[k][k1] = v1
filename = 'data/result_燕山石化（20230517）.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print(len(re_ta))
filename = 'data/result_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False) 
print(len(dict2))

每日成绩导出

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','车间','班组','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_燕山石化（20230517）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/燕山石化人员名单.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]['工作单位'])    
    list2.append(dict2[k]['车间'])
    list2.append(dict2[k]['班组'])
    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/燕山石化体测情况表(20230517).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

总成绩导出

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','车间','班组','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_燕山石化-all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/燕山石化人员名单.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]['工作单位'])    
    list2.append(dict2[k]['车间'])
    list2.append(dict2[k]['班组'])
    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/燕山石化体测情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

统计部门测试人数

In [ ]:

import json
import openpyxl

filename = 'data/result_燕山石化（20230516）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
dict2 = {}
for k, v in dict1.items():
    unit = v['部门']
    dict2.setdefault(unit,0)
    dict2[unit] = dict2[unit] + 1
print(dict2)
title =['单位','体测人数']
list1 = [] 
for k, v in dict2.items():
    list2 = []
    list2 = [k,v]
    list1.append(list2)
filename = 'data/燕山石化部门测试人数情况表(20230516).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

每日未测试人员情况表

In [ ]:

import json
import openpyxl


title = ['编号','姓名','性别','单位','车间','班组']
filename = 'data/result_燕山石化（20230417）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
list1 = []
for k, v in dict2.items():
    list2 = []
    if k not in dict1.keys():
        list2.append(str(k).rjust(5,'0'))
        list2.append(v['name'])    
        list2.append(dict2[k]['sex'])
        list2.append(dict2[k]['工作单位'])    
        list2.append(dict2[k]['车间'])
        list2.append(dict2[k]['班组'])
        list1.append(list2)
filename = 'data/燕山石化未体测人员名单(20230417).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)        

汇总未测试人员情况表

In [ ]:

import json
import openpyxl


title = ['编号','姓名','性别','单位','车间','班组']
filename = 'data/result_燕山石化.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
# 筛选重名剔除名单
chongming = []
filename = 'data/燕山石化重名人员测试情况(20230515).xlsx'
wb = openpyxl.load_workbook(filename)
sheet = wb.active
for n in range(1, sheet.max_row+1,2):
    if sheet.cell(n,1).value is not None:
        code1 = int(sheet.cell(n, 1).value)
        code2 = int(sheet.cell(n+1, 1).value)
        bz1 = sheet.cell(n, 4).value
        bz2 = sheet.cell(n+1, 4).value
        if bz1 =='否' and bz2 =='否':
            chongming.append(max(code1,code2))
        else:
            chongming.append(code1)
            chongming.append(code2)

filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
list1 = []
for k, v in dict2.items():
    list2 = []
    if k not in dict1.keys() and int(k) not in chongming:
        list2.append(str(k).rjust(5,'0'))
        list2.append(v['name'])    
        list2.append(dict2[k]['sex'])
        list2.append(dict2[k]['工作单位'])    
        list2.append(dict2[k]['车间'])
        list2.append(dict2[k]['班组'])
        list1.append(list2)
filename = 'data/燕山石化未体测人员名单(截至20230516).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
wb.save(filename)

统计测试项目不足人员

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','车间','班组','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_燕山石化.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
dict3 = {}
for k, v in dict1.items():
    list1 = []
    for item in v.keys():
        if item in items:
            list1.append(item)
    dict3[k] = list1
list1 = []
for k, v in dict3.items():
    if len(v)<4 and '身高' in v and '体重' in v or ((len(v)<3 and '身高' not in v and '体重' not in v)):
        list2 = []
        xm = ','.join(v)
        list2.append(k)
        list2.append(dict2[k]['name'])
        list2.append(dict2[k]['工作单位'])
        list2.append(xm)
        list1.append(list2)
print(list1)
filename = 'data/燕山石化测试项目不足人员.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
#sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)       

汇总成绩导入

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/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20230526.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]['部门'] = dict1[user]['工作单位']
        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_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print(len(re_ta))

统计测试人数

In [ ]:

import json
import time
import csv

person = set()
filename = 'data/places_result_20230526.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)
filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

for result in list1:
    user = str(result[2])
    if user in dict1.keys():
        person.add(user)

print(len(person))

统计重复人员信息

In [ ]:

import json
import time
import csv


list1 = []
list2 = set()
filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/result_燕山石化-all.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 

for k,v in dict1.items():
    name = v['name']
    if name in list1:
        list2.add(name)
    list1.append(name)
list3 = []
for item in list2:
    for k,v in dict1.items():
        if v['name'] == item:
            list3.append([k,v['name'],v['sex'],v['birth']])
filename = 'data/燕山石化重名人员名单.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
#sheet.append(title)
for row in list3:
    sheet.append(row)
    
wb.save(filename)        

重复人员测试情况

In [ ]:

import json
import time
import csv


list1 = []
list2 = set()
filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/result_燕山石化.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 


list3 = []

filename = 'data/燕山石化重名人员名单.xlsx'
wb = openpyxl.load_workbook(filename)
sheet = wb.active
# sheets = wb.sheetnames


for n in range(1, sheet.max_row+1):
    if sheet.cell(n,1).value is not None:
        code = int(sheet.cell(n, 1).value)
        name = dict1[str(code)]['name']
        unit = dict1[str(code)]['工作单位']
        if str(code) in dict2.keys():
            ce = '是'
        else:
            ce = '否'
        list3.append([code,name,unit,ce])
filename = 'data/燕山石化重名人员测试情况(20230516).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
#sheet.append(title)
for row in list3:
    sheet.append(row)
    
wb.save(filename)        

统计部门测试情况

In [ ]:

import json
import openpyxl
filename = 'data/燕山石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/result_燕山石化.json'
with open(filename,'r') as fl:
    dict3 = json.load(fl)
dict2 = {}
for k, v in dict1.items():
    unit = v['工作单位']
    dict2.setdefault(unit,0)
    dict2[unit] = dict2[unit] + 1
dict4 = {}
for k, v in dict3.items():
    unit = v['部门']
    dict4.setdefault(unit,0)
    dict4[unit] = dict4[unit] + 1
list1 = []
for k, v in dict2.items():
    list2 = []
    list2.append(k)
    list2.append(v)
    if k in dict4.keys():
        list2.append(dict4[k])
    else:
        list2.append(0)
    list1.append(list2)
print(list1)
filename = 'data/燕山石化部门测试情况（截止5月6日）.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
#sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)       

In [ ]:

#C2EDC1A2D1C7
gbs = 'C2EDC1A2D1C7'
import binascii
bs = binascii.a2b_hex(gbs)
print('bs', bs)
print('decode-bs:', bs.decode('gb2312'))

In [ ]:

s = '马立亚'
gbcode = s.encode('gb2312') # 先转成 bytes格式
print('gbcode:', gbcode)
gbs = "".join([hex(ch)[2:] for ch in gbcode])  #
print('gbs:', gbs)

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/20230530'
old = []
dict2 = {}

filename = 'data/result_燕山石化.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')

生成电子文件明细表

In [3]:

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

fi_path = 'file/20230530'
old = []
dict2 = {}
list1 = []

filename = 'data/result_燕山石化.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]
    list1.append([k.rjust(5,"0"),m_depart,m_name])
filename = 'data/燕山石化体测报告明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

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

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/燕山石化人员名单.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_20230527.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]['unit'] = dict1[user]['工作单位']
        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]
filename = 'data/result_燕山石化1.json'
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_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl) 
print('ok')
print(len(re_ta))

计算人员年龄

In [ ]:

import json
import datetime

filename = 'data/result_燕山石化.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for k, v in dict1.items():    
    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)
    days = (datetime.date(2023, 5, 18)-datetime.date(nian,yue,ri)).days
    v['age'] = round(days/365)
filename = 'data/result_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')    

In [ ]:

filename = 'data/result_燕山石化.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
for k,v in dict1.items():
    if v['age'] < 19:
        print(k,v['name'],v['age'] )

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_燕山石化.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    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)            
filename = 'data/result_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

计算测试等级

In [ ]:

import json

filename = 'data/result_燕山石化.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')
filename = 'data/result_燕山石化.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],[55,69]]
filename = 'data/result_燕山石化.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'] == '男':
                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')

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]]
filename = 'data/result_燕山石化.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) and v['sex'] == '男':
            score = score+v['score']
            i+=1
            
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')

根据年龄汇总人员信息及成绩（女）

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
filename = 'data/result_燕山石化.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) and v['sex'] == '女':
            score = score+v['score']
            i+=1
            
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')

计算平均成绩

In [ ]:

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/7727,4)}分，总体：7727人')

计算测试等级

In [ ]:

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')
#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)

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),n)

生成倒班人员信息表

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/燕山石化人员情况表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
daoban = {}

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

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)
        if sheet.cell(n, 12).value == '倒班' and str(code) in dict1.keys():
            daoban[str(code)] = dict1[str(code)]

filename = 'data/daoban_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(daoban, fl, ensure_ascii=False) 
print(len(daoban))        

倒班人员构成

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/daoban_燕山石化.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

倒班人员年龄段成绩

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) 
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) and v['sex'] == '男':
            score = score+v['score']
            i+=1
            
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')

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 = 1
    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
            
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人')

倒班人员测试等级

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')

倒班人员平均成绩

In [ ]:

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/(m+f),4)}分，总体：{m+f}人')

计算倒班员工各项目成绩

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),n)

In [ ]: