python读取excel数据做分类统计

某excel中记录了某个人的通话记录，下面程序将按照通话地点，通话类型等统计通话时间

# -*- coding:utf-8 -*-
import xlrd
import datetime
infos=[]
info_file=xlrd.open_workbook('src.xls')#打开excel文件
info_sheet=info_file.sheets()[0]#通过索引顺序获取工作表
row_count=info_sheet.nrows#获取行数，列数ncols
for row in range(1,row_count):
    time_string=info_sheet.cell(row,3).value
    time_s_sp=time_string.split(':')
    infos.append(#该数组里放了row_count个字典
        {
            'type':info_sheet.cell(row,2).value,#获取单元格，通话类型，主叫被叫
            'other_cellphone':info_sheet.cell(row,0).value,#对方号码,
            'timespan':datetime.timedelta(seconds=int(time_s_sp[2]),minutes=int(time_s_sp[1]),hours=int(time_s_sp[0])),
            'gpscity':info_sheet.cell(row,5).value#通话是本地还是外地
        }
    )
time_all=datetime.timedelta(seconds=0)#初始化
time_types={}
time_classes={}
time_numbers={}
for infor in infos:#取出该数组里的字典
    time_all +=infor['timespan']#求总通话次数
    infor_type=infor['type']
    if infor_type in time_types:
        time_types[infor_type]+=infor['timespan']
    else:
        time_types[infor_type]=infor['timespan']#按通话类型统计通话时间
    infor_class=infor['gpscity']
    if infor_class in time_classes:
        time_classes[infor_class]+=infor['timespan']
    else:
        time_classes[infor_class]=infor['timespan']#这里相当于先分类赋值再++，按归属地统计通话时间
    infor_number=infor['other_cellphone']
    if infor_number in time_numbers:
        time_numbers[infor_number]+=infor['timespan']
    else:
        time_numbers[infor_number]=infor['timespan']#根据号码统计通话时间

print '总通话时间：%s' % time_all
print
print '总通话方式分类'
for k,v in time_types.items():
    print k.encode('utf-8'),v
print
print '通话类型分类:'
for k,v in time_classes.items():
    print k.encode('utf-8'),v
print
print '对方号码分类：'
for k,v in time_numbers.items():
    print k,v

 再优化下代码

# -*- coding:utf-8 -*-
import xlrd
from datetime import timedelta
def read_excel(file_excel):#读excel并将需要的数据分类放在数组里
    infos=[]
    info_file=xlrd.open_workbook(file_excel)
    info_sheet=info_file.sheets()[0]
    row_count=info_sheet.nrows
    for row in range(1,row_count):
        time_string=info_sheet.cell(row,3).value
        time_s_sp=time_string.split(':')
        infos.append(
            {
                'type':info_sheet.cell(row,2).value,
                'other_cellphone':info_sheet.cell(row,0).value,
                'timespan':timedelta(seconds=int(time_s_sp[2]),minutes=int(time_s_sp[1]),hours=int(time_s_sp[0])),
                'gpscity':info_sheet.cell(row,5).value

            }
        )
    return infos
def count_cell(list_dirs,infotype):#统计总通话及分类统计结果，存在字典里
    result_dir={}
    time_all=timedelta(seconds=0)
    for list_dir in list_dirs:
        time_all +=list_dir['timespan']
        info_type = list_dir[infotype]
        if info_type not in result_dir:
            result_dir[info_type]=list_dir['timespan']
        else:
            result_dir[info_type]+=list_dir['timespan']
    return time_all,result_dir
def print_result(result_dir):#打印数据
    for k,v in result_dir.items():
        print k.encode('utf-8'),v

if __name__=="__main__":
    list_dirs=read_excel('src.xls')
    time_all,result_type=count_cell(list_dirs,'type')
    result_cell=count_cell(list_dirs,'other_cellphone')
    result_gpscity = count_cell(list_dirs, 'gpscity')
    print '总通话时间：%s' % time_all
    print '按照通话类型分类：'
    print_result(result_type)
    print '按照号码分类：'
    print_result(result_cell[1])
    print '按照归属地分类：'
    print_result(result_gpscity[1])

 

转载于:https://www.cnblogs.com/facexiaoxi/p/8557080.html