512song/jupyter

0 Fork 0

Files

T

512song 3ad92718b0 20230630

2023-06-30 15:03:37 +08:00

61 KiB

Raw Blame History

基础信息管理

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/2023-05-30'
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 [ ]:

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

单位综合数据分析

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'] = int(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)

部门数据分析

部门基础信息

In [ ]:

filename = 'data/result_燕山石化.json'
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'])
print(depart)

人员总体数据分析

In [ ]:

hj = 0
for bumen in depart:    
    #bumen = '热电厂工会'
    renshu = 0
    male = 0
    female = 0
    for k,v in dict1.items():
        if v['unit'] == bumen:
            renshu = renshu+1
            if v['sex'] == '男':
                male = male+1
            else:
                female = female +1
    print(bumen,renshu,male,female)
    hj = hj+ renshu
print(hj)

部门年龄构成

In [ ]:

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


for bumen in depart:
    print(bumen,'年龄构成情况：')
    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['unit']== bumen and 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：{round(score/i,2)}分，人数：{i}人,其中男性：{m}人')
        else:
            print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人,其中男性：{m}人')
    print('\n')

部门平均成绩情况

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]
for bumen in depart:
    print(bumen,'平均成绩情况：')
    i = 0
    m = 0
    f = 0
    score = 0
    t_score = 0
    for k,v in dict1.items():
        if v['unit']== bumen and 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['unit']== bumen and 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')
    print('\n')

部门测试等级情况

In [ ]:

dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
for bumen in depart:
    print(bumen,'测试等级情况：')
    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['unit']== bumen and 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)
    print('\n')

In [ ]:

dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
for bumen in depart:
    print(bumen,'测试等级情况：')
    dict3 = {}
    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 v['unit']== bumen and 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'{k1}人数：{i}人,男性：{m}人,女性:{f}人')
    print('\n')

各项目测试情况

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 bumen in depart:
    print(bumen,'测试等级情况：')
    for item in items:
        score = 0
        n = 0
        for k, v in dict1.items():
            if v['unit']== bumen and item in v.keys():
                n = n + 1
                score =score + int(v[item]['得分'])
        print(item,round(score/n,2),n)
    print('\n')

根据年龄汇总人员信息及成绩（男）

In [ ]:


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 bumen in depart:
    print(bumen,'测试等级情况：')
    
    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['unit']== bumen and 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')
    print('\n')

In [ ]:

61 KiB Raw Blame History

基础信息管理

导入人员信息

每日成绩导入

每日成绩导出

总成绩导出

统计部门测试人数

每日未测试人员情况表

汇总未测试人员情况表

统计测试项目不足人员

汇总成绩导入

统计测试人数

统计重复人员信息

重复人员测试情况

统计部门测试情况

报告按部门分类更名

生成电子文件明细表

数据分析

单位综合数据分析

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）

按照部门计算平均成绩

计算各项目成绩

生成倒班人员信息表

倒班人员构成

倒班人员年龄段成绩

倒班人员测试等级

倒班人员平均成绩

计算倒班员工各项目成绩

部门数据分析

部门基础信息

人员总体数据分析

部门年龄构成

部门平均成绩情况

部门测试等级情况

各项目测试情况

根据年龄汇总人员信息及成绩（男）

61 KiB

Raw Blame History