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  • python操作Excel的几种方式

    Python对Excel的读写主要有xlrd、xlwt、xlutils、openpyxl、xlsxwriter几种。

    1.xlrd主要是用来读取excel文件

    import xlrd
    data = xlrd.open_workbook('abcd.xls') # 打开xls文件
    table = data.sheets()[0] # 打开第一张表
    nrows = table.nrows # 获取表的行数
    for i in range(nrows): # 循环逐行打印
        if i == 0:# 跳过第一行
            continue
        print (table.row_values(i)[:13]) # 取前十三列
    

      示例2:

    #coding=utf-8
    #######################################################
    #filename:test_xlrd.py
    #author:defias
    #date:xxxx-xx-xx
    #function:读excel文件中的数据
    #######################################################
    import xlrd
    #打开一个workbook
    workbook = xlrd.open_workbook('E:\Code\Python\testdata.xls')
    #抓取所有sheet页的名称
    worksheets = workbook.sheet_names()
    print('worksheets is %s' %worksheets)
    #定位到sheet1
    worksheet1 = workbook.sheet_by_name(u'Sheet1')
    """
    #通过索引顺序获取
    worksheet1 = workbook.sheets()[0]
    #或
    worksheet1 = workbook.sheet_by_index(0)
    """
    """
    #遍历所有sheet对象
    for worksheet_name in worksheets:
    worksheet = workbook.sheet_by_name(worksheet_name)
    """
    #遍历sheet1中所有行row
    num_rows = worksheet1.nrows
    for curr_row in range(num_rows):
    row = worksheet1.row_values(curr_row)
    print('row%s is %s' %(curr_row,row))
    #遍历sheet1中所有列col
    num_cols = worksheet1.ncols
    for curr_col in range(num_cols):
    col = worksheet1.col_values(curr_col)
    print('col%s is %s' %(curr_col,col))
    #遍历sheet1中所有单元格cell
    for rown in range(num_rows):
    for coln in range(num_cols):
    cell = worksheet1.cell_value(rown,coln)
    print cell
    """
    #其他写法:
    cell = worksheet1.cell(rown,coln).value
    print cell
    #或
    cell = worksheet1.row(rown)[coln].value
    print cell
    #或
    cell = worksheet1.col(coln)[rown].value
    print cell
    #获取单元格中值的类型,类型 0 empty,1 string, 2 number, 3 date, 4 boolean, 5 error
    cell_type = worksheet1.cell_type(rown,coln)
    print cell_type
    """
    

     更多详细使用:https://www.cnblogs.com/linyfeng/p/7123423.html 

     

    2.xlwt主要是用来写excel文件

    import xlwt
    wbk = xlwt.Workbook()
    sheet = wbk.add_sheet('sheet 1')
    sheet.write(0,1,'test text')#第0行第一列写入内容
    wbk.save('test.xls')
    

    3.xlutils结合xlrd可以达到修改excel文件目的

    import xlrd
    from xlutils.copy import copy
    workbook = xlrd.open_workbook(u'有趣装逼每日数据及趋势.xls')
    workbooknew = copy(workbook)
    ws = workbooknew.get_sheet(0)
    ws.write(3, 0, 'changed!')
    workbooknew.save(u'有趣装逼每日数据及趋势copy.xls')
    

      

    4.openpyxl可以对excel文件进行读写操作

    from openpyxl import Workbook
    from openpyxl import load_workbook
    from openpyxl.writer.excel import ExcelWriter  
    
    workbook_ = load_workbook(u"新歌检索失败1477881109469.xlsx")
    sheetnames =workbook_.get_sheet_names() #获得表单名字
    print sheetnames
    sheet = workbook_.get_sheet_by_name(sheetnames[0])
    print sheet.cell(row=3,column=3).value
    sheet['A1'] = '47' 
    workbook_.save(u"新歌检索失败1477881109469_new.xlsx")  
    wb = Workbook()
    ws = wb.active
    ws['A1'] = 4
    wb.save("新歌检索失败.xlsx") 
    

      示例2:

    import openpyxl
    # 新建文件
    workbook = openpyxl.Workbook() 
    # 写入文件
    sheet = workbook.activesheet['A1']='A1'
    # 保存文件 
    workbook.save('test.xlsx')
    

      

    5.xlsxwriter可以写excel文件并加上图表

    import xlsxwriter
    
    def get_chart(series):
        chart = workbook.add_chart({'type': 'line'})
        for ses in series:
            name = ses["name"]
            values = ses["values"]
            chart.add_series({
                'name': name,
                'categories': 'A2:A10',
                'values':values
            })
        chart.set_size({'width': 700, 'height': 350})
        return chart 
    
    if __name__ == '__main__':
        workbook = xlsxwriter.Workbook(u'H5应用中心关键数据及趋势.xlsx') 
        worksheet = workbook.add_worksheet(u"每日PV,UV")
        headings = ['日期', '平均值']
        worksheet.write_row('A1', headings)
        index=0
        for row in range(1,10):
            for com in [0,1]:
                worksheet.write(row,com,index)
                index+=1
        series = [{"name":"平均值","values":"B2:B10"}]
        chart = get_chart(series)
        chart.set_title ({'name': '每日页面分享数据'})  
        worksheet.insert_chart('H7', chart)
        workbook.close() 
    
    openpyxl 
    

      示例2:

    import xlsxwriter as xw
    #新建excel
    workbook  = xw.Workbook('myexcel.xlsx')
    #新建工作薄
    worksheet = workbook.add_worksheet()
    #写入数据
    worksheet.wirte('A1',1)
    #关闭保存
    workbook.close()
    

     合并表格实例:

    #coding:utf-8
    import xlsxwriter
    import xlrd
    #新建excel
    workbook  = xlsxwriter.Workbook('广东.xlsx')
    #新建工作薄
    worksheet = workbook.add_worksheet()
    
    count = 1
    worksheet.write("A%s"%count,"公司名称")
    worksheet.write("B%s"%count,"法人")
    worksheet.write("C%s"%count,"电话")
    worksheet.write("D%s"%count,"注册资金")
    worksheet.write("E%s"%count,"注册时间")
    count+=1
    for i in range(1,153):
        data = xlrd.open_workbook('ah (%s).xls'%i) # 打开xls文件
        table = data.sheets()[0] # 打开第一张表
        nrows = table.nrows # 获取表的行数
        for i in range(nrows): # 循环逐行打印
            if i == 0:# 跳过第一行
                continue
            # print (table.row_values(i)[:5]) # 取前十三列
            print(count,table.row_values(i)[:5][0])
    
            #写入数据
            #设定第一列(A)宽度为20像素 A:E表示从A到E
            worksheet.set_column('A:A',30)
            worksheet.set_column('B:E',20)
            worksheet.write("A%s"%count,table.row_values(i)[:5][0])
            worksheet.write("B%s"%count,table.row_values(i)[:5][1])
            worksheet.write("C%s"%count,table.row_values(i)[:5][2])
            worksheet.write("D%s"%count,table.row_values(i)[:5][3])
            worksheet.write("E%s"%count,table.row_values(i)[:5][4])
            count+=1
    
    #关闭保存
    workbook.close()
    

      

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  • 原文地址:https://www.cnblogs.com/chen0307/p/9598525.html
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