Pythonでxlsxファイルを読み込む方法

スクリプトは以下の通りです

from openpyxl import load_workbook

workbook = load_workbook(u'/tmp/test.xlsx')  #    xlsx     
booksheet = workbook.active         #       sheet,      sheet

#       sheet         ，     sheet  ，        。
# sheets = workbook.get_sheet_names() #      sheet
# booksheet = workbook.get_sheet_by_name(sheets[0])

#  sheet     
rows = booksheet.rows
#  sheet     
columns = booksheet.columns


i = 0
#       
for row in rows:
  i = i + 1
  line = [col.value for col in row]
  cell_data_1 = booksheet.cell(row=i, column=3).value        #   i 1     
  cell_data_2 = booksheet.cell(row=i, column=4).value        #   i  2     
  cell_data_3 = booksheet.cell(row=i, column=8).value          #   i  3     
  cell_data_4 = booksheet.cell(row=i, column=18).value          #   i  4     
  print (cell_data_1, cell_data_2, cell_data_3, cell_data_4)

例：pythonでエクセルデータを読み込み、分類統計を行う。
あるエクセルにはある人の通話記録が記録されています。以下のプログラムは通話場所、通話タイプなどによって通話時間を統計します。

# -*- coding:utf-8 -*-
import xlrd
import datetime
infos=[]
info_file=xlrd.open_workbook('src.xls')#  excel  
info_sheet=info_file.sheets()[0]#           
row_count=info_sheet.nrows#    ，  ncols
for row in range(1,row_count):
  time_string=info_sheet.cell(row,3).value
  time_s_sp=time_string.split(':')
  infos.append(#      row_count   
    {
      'type':info_sheet.cell(row,2).value,#     ，    ，    
      'other_cellphone':info_sheet.cell(row,0).value,#    ,
      '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#         
    }
  )
time_all=datetime.timedelta(seconds=0)#   
time_types={}
time_classes={}
time_numbers={}
for infor in infos:#         
  time_all +=infor['timespan']#      
  infor_type=infor['type']
  if infor_type in time_types:
    time_types[infor_type]+=infor['timespan']
  else:
    time_types[infor_type]=infor['timespan']#           
  infor_class=infor['gpscity']
  if infor_class in time_classes:
    time_classes[infor_class]+=infor['timespan']
  else:
    time_classes[infor_class]=infor['timespan']#           ++，          
  infor_number=infor['other_cellphone']
  if infor_number in time_numbers:
    time_numbers[infor_number]+=infor['timespan']
  else:
    time_numbers[infor_number]=infor['timespan']#          

print '     ：%s' % time_all
print
print '       '
for k,v in time_types.items():
  print k.encode('utf-8'),v
print
print '      :'
for k,v in time_classes.items():
  print k.encode('utf-8'),v
print
print '      ：'
for k,v in time_numbers.items():
  print k,v

コードを最適化する

# -*- coding:utf-8 -*-
import xlrd
from datetime import timedelta
def read_excel(file_excel):# excel              
  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):#            ，     
  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):#    
  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 '     ：%s' % time_all
  print '        ：'
  print_result(result_type)
  print '      ：'
  print_result(result_cell[1])
  print '       ：'
  print_result(result_gpscity[1])

以上が本文の全部です。皆さんの勉強に役に立つように、私たちを応援してください。