Python使用openpyxl批量将Excel转换为CSV文件

for excelFile in os.listdir('.'):
   # skip non-xlsx files, load the workbook object
   for sheetname in wb.get_sheet_names():
      #Loop through every sheet in the workbook
      sheet = wb.get_sheet_by_name(sheetname)
      # create the csv filename from the Excel filename and sheet title
      # create the csv.writer object for this csv file
      #loop through every row in the sheet
      for rowNum in range(1, sheet.max_row + 1):
         rowData = [] #append each cell to this list
         # loop through each cell in the row
         for colNum in range (1, sheet.max_column + 1):
            #Append each cell's data to rowData
         # write the rowData list to CSV file
       csvFile.close()

#! python3
import os, openpyxl, csv
for excelFile in os.listdir('.\\CSV'): #我将解压后的excel文件放入此文件夹
  # 筛选出excel文件，创建工作表对象
  if excelFile.endswith('.xlsx'):
    wb = openpyxl.load_workbook('.\\CSV\\'+ excelFile)
    for sheetName in wb.get_sheet_names():
      #依次遍历工作簿中的工作表
      sheet = wb.get_sheet_by_name(sheetName)
      #根据excel文件名和工作表名创建csv文件名
      #通过csv.writer创建csv file对象
      basename = excelFile[0:-5] #将excel文件名进行切割，去掉文件名后缀.xlsx
      File = open('{0}_{1}.csv'.format(basename,sheetName),'w') #新建csv file对象
      csvFile = csv.writer(File) #创建writer对象
      #csvFileWriter.writerow()
      #遍历表中每行
      for rowNum in range(1,sheet.max_row+1):
        rowData = [] #防止每个单元格内容的列表
        #遍历每行中的单元格
        for colNum in range(1,sheet.max_column + 1):
          #将每个单元格数据添加到rowData
          rowData.append(sheet.cell(row = rowNum,column = colNum).value)
        csvFile.writerow(rowData)
        #将rowData列表写入到csv file
      File.close()