Xlrd模块使用
excel文件样例:
aaarticlea/png;base64,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" alt="">
import xlrd
#实例化open_workbook()方法打开文件,返回的是一个Book对象
book = xlrd.open_workbook(r'F:\学习文件\Python文件\ZenDaoRobotTest\userinfo.xlsx')
aaarticlea/png;base64,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" alt="">
#对Book对象进行操作
book.sheet_names() #获取文件所有工作表名称,以列表方式显示
aaarticlea/png;base64,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" alt="">
book.sheets() #获取所有工作表的对象;通过索引获取对应工作表的对象
book.sheets()[0] #通过索引获取对应工作表的对象
book.sheet_by_index(0) #与以上效果一样
aaarticlea/png;base64,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" alt="">
book.sheet_by_name('第一页') #通过工作表名称获取对应工作表对象
aaarticlea/png;base64,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" alt="">
book.sheet_loaded(0) #通过索引判断是否存在工作表,返回一个布尔值
book.sheet_loaded('第一页') #通过名称判断是否存在工作表,返回一个布尔值
aaarticlea/png;base64,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" alt="">
sheet1 = book.sheet_by_index(0) #获取第一张工作表对象
sheet1.nrows #获取对应工作表的有效行数
sheet1.ncols #获取对应工作表的有效列数
sheet1.row_values(0) #获取某一行的所有值,0为第一行,以列表形式展示
sheet1.col_values(0) #获取某一列的所有值,0为第一列,以列表形式展示
sheet1.col_values(0,1,3) #获取第一列,从第2个值开始到第4个值前结束,即为第3个值结束,‘3’为开区间,行同理
aaarticlea/png;base64,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" alt="">
sheet1.row_slice(0,1,3) #以切片方式获取第1行中,从第2列开始到第3列的值,返回的列表值形式为:单元类型:单元数据
sheet1.col_slice(0,1,3) #以切片方式获取第1列中,从第2行开始到第3行的值
aaarticlea/png;base64,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" alt="">
sheet1.cell(2,1) #获取对应工作表中第3行,第2列中的单元对象,返回的列表值形式为:单元类型:单元数据
sheet1.cell_value(2,1) #获取对应工作表中第3行,第2列的值
sheet1.cell_type(2,1) #获取对应工作表中的值得类型,empty(为空)为0;string为1;number为2;date为3;boolean为4;error为5
aaarticlea/png;base64,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" alt="">
参考实例:(获取excel表中用户名和密码,以列表形式展示)
import xlrd
import unittest
import time
import sys
class Data_Excel(unittest.TestCase):
file_path = r'F:\学习文件\Python文件\ZenDaoRobotTest\userinfo.xlsx'
def open_excel(self,file = file_path):
try:
self.book = xlrd.open_workbook(file) #打开excel文件返回Book对象
return self.book
except Exception:
print(file)
pritn('error!')
def excel_table_by_index(self,file = file_path,colnum = 0,sheet_name = '第一页'):
'''
file:默认文件路径及名称;
colnum:默认第一行的值为表头;
sheet_name:默认读取excel表中名称为”第一页“的工作表。
'''
self.book = xlrd.open_workbook(file) #打开excel文件返回Book对象
self.sheet1 = self.book.sheet_by_name(sheet_name) #获取”第一页“工作表对象
self.colnames = self.sheet1.row_values(colnum) #获取第一行的值,作为表头
self.nrows = self.sheet1.nrows #获取表中的有效行数
list = [] #定义返回数据为列表形式
for rownum in range(1,self.nrows): #从第2行开始遍历每行的数据
rowvalues = self.sheet1.row_values(rownum)
if rowvalues:
dictlist = {} #定义获取的用户信息为字典形式
for i in range(len(self.colnames)): #遍历表头值个数
dictlist[self.colnames[i]] = rowvalues[i] #将遍历每行中的值赋值给对应的表头值,并添加到dictlist字典中
list.append(dictlist) #将每个用户信息字典添加到list列表中
print(list)
return list
a = Data_Excel()
a.excel_table_by_index()
if __name__ == '__main__':
unittest.main()
如果想更深入研究Xlrd模块的使用可查看模块源码:
- python 利用三方的xlrd模块读取excel文件,处理合并单元格
目的: python能使用xlrd模块实现对Excel数据的读取,且按照想要的输出形式. 总体思路: (1)要想实现对Excel数据的读取,需要用到第三方应用,直接应用. (2)实际操作时候和我 ...
- 基础补充:使用xlrd模块读取excel文件
因为接口测试用例使用excel文件来维护的,所以有必要学习下操作excel的基本方法 参考博客:python 3 操作 excel 把自己练习的代码贴出来,是一些基本的操作,每行代码后面都加了注释. ...
- python使用xlrd模块读写Excel文件的方法
本文实例讲述了python使用xlrd模块读写Excel文件的方法.分享给大家供大家参考.具体如下: 一.安装xlrd模块 到python官网下载http://pypi.python.org/pypi ...
- 上传读取Excel文件数据
/// <summary> /// 上传读取Excel文件数据 /// 来自http://www.cnblogs.com/cielwater /// </summary> // ...
- 项目一:第四天 1、快递员的条件分页查询-noSession,条件查询 2、快递员删除(逻辑删除) 3、基于Apache POI实现批量导入区域数据 a)Jquery OCUpload上传文件插件使用 b)Apache POI读取excel文件数据
1. 快递员的条件分页查询-noSession,条件查询 2. 快递员删除(逻辑删除) 3. 基于Apache POI实现批量导入区域数据 a) Jquery OCUpload上传文件插件使用 b) ...
- Python xlrd模块读取Excel表中的数据
1.xlrd库的安装 直接使用pip工具进行安装(当然也可以使用pycharmIDE进行安装,这里就不详述了) pip install xlrd 2.xlrd模块的一些常用命令 ①打开excel文件并 ...
- VC6.0读取Excel文件数据
啰嗦一下:本人所在公司从事碟式斯特林太阳能发电设备的研发与销售.单台设备图如下: 工作原理如下:整个设备大致可分为五个部分, 1.服务器,负责气象.发电等数据存取,电.网连接等处理: 2.气象站,通过 ...
- java读取excel文件数据导入mysql数据库
这是我来公司的第二周的一个小学习任务,下面是实现过程: 1.建立maven工程(方便管理jar包) 在pom.xml导入 jxl,mysql-connector 依赖 可以在maven仓库搜索 2.建 ...
- php phpexcel 读取excel文件数据
public function readExcel(){ $allPath = '/home/examine\video/list.xls'; \think\Loader::import('exten ...
随机推荐
- C#实现的Check Password和锁定输错密码锁定账户
C#实现的Check Password,并根据输错密码的次数分情况锁定账户:如果输入错误3次,登录账户锁定5分钟并提示X点X分后重试登录.如果5分钟后再次输入,累计输入错误密码累计达到5次.则账户会被 ...
- vue中keepalive怎么理解?---vue中文社区
vue中keepalive怎么理解? 说在前面: keep-alive是vue源码中实现的一个组件, 感兴趣的可以研究源码 https://github.com/vuejs/vue/blob/dev/ ...
- P3945 | 三体问题 (天体物理+计算几何)
最近终于把<三体Ⅰ·地球往事>和<三体Ⅱ·黑暗森林>看完了! 为了快点认识题目中的歌者文明,已经开始第三部了! 题目背景 @FirstLight0521 出题人在这里哦~ 三体 ...
- 什么是kafka,怎么使用? (3)
上次我因为在windows上解压一个.gz的包没有解压出来,故需要在linux使用kafka,而且这kafka的快速开始上有个zookeeper的文件配置 所以我感觉有必要把dubbo-zookeep ...
- JavaSE学习笔记(14)---File类和IO流(字节流和字符流)
JavaSE学习笔记(14)---File类和IO流(字节流和字符流) File类 概述 java.io.File 类是文件和目录路径名的抽象表示,主要用于文件和目录的创建.查找和删除等操作. 构造方 ...
- EasyUI笔记(五)表单
本系列只列出一些常用的属性.事件或方法,具体完整知识请查看API文档 Form(表单) 创建一个简单的HTML表单.构建一个包含id.action和method值的表单元素. <form id= ...
- cat - EOF标志的使用
前提 cat命令是用于连接文件并输出到标准输出设备或指定文件中. EOF为标志,可以替换为其他字符串 代码块 ``` 将文件内容作为标准输出也就是将文件内容输出到屏幕中,也可写作 cat filena ...
- Uva12169 扩展欧几里得模板
Uva12169(扩展欧几里得) 题意: 已知 $x_i=(a*x_{i-1}+b) mod 10001$,且告诉你 $x_1,x_3.........x_{2t-1}$, 让你求出其偶数列 解法: ...
- API接口幂等性设计
目录 幂等性场景 解决方案 幂等性场景 网络延迟导致多次重复提交. 表单重复提交. 解决方案 每次提交都使用一个Token,Token保证临时且唯一即可 token生成规则(单机应用):token+U ...
- JS DOM属性+JS事件
DOM属性 console.log(ele.attributes) 获取ele元素的属性集合 ele.attributes.getNamesItem(attr).nodeValue 获取指定属性值 e ...