首页 > 编程 > Python > 正文

Python读取xlsx文件的实现方法

2019-11-25 12:31:39
字体:
来源:转载
供稿:网友

脚本如下:

from openpyxl import load_workbookworkbook = load_workbook(u'/tmp/test.xlsx')  #找到需要xlsx文件的位置booksheet = workbook.active         #获取当前活跃的sheet,默认是第一个sheet#如果想获取别的sheet页采取下面这种方式,先获取所有sheet页名,在通过指定那一页。# sheets = workbook.get_sheet_names() # 从名称获取sheet# booksheet = workbook.get_sheet_by_name(sheets[0])#获取sheet页的行数据rows = booksheet.rows#获取sheet页的列数据columns = booksheet.columnsi = 0# 迭代所有的行for row in rows:  i = i + 1  line = [col.value for col in row]  cell_data_1 = booksheet.cell(row=i, column=3).value        #获取第i行1 列的数据  cell_data_2 = booksheet.cell(row=i, column=4).value        #获取第i行 2 列的数据  cell_data_3 = booksheet.cell(row=i, column=8).value          #获取第i行 3 列的数据  cell_data_4 = booksheet.cell(row=i, column=18).value          #获取第i行 4 列的数据  print (cell_data_1, cell_data_2, cell_data_3, cell_data_4)

实例: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 xlrdimport datetimeinfos=[]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ncolsfor 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_allprintprint '总通话方式分类'for k,v in time_types.items():  print k.encode('utf-8'),vprintprint '通话类型分类:'for k,v in time_classes.items():  print k.encode('utf-8'),vprintprint '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 xlrdfrom datetime import timedeltadef 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 infosdef 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_dirdef print_result(result_dir):#打印数据  for k,v in result_dir.items():    print k.encode('utf-8'),vif __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])

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持武林网。

发表评论 共有条评论
用户名: 密码:
验证码: 匿名发表