Reading and writing Excel documents with Python
本篇文章给大家分享的是用Python读写Excel文档 ,有需要的朋友可以参考一下文中的内容
1.读取Excel(需要安装xlrd):
import xlrd fname = "reflect.xls" bk = xlrd.open_workbook(fname) shxrange = range(bk.nsheets) try: sh = bk.sheet_by_name("Sheet1") except: print "no sheet in %s named Sheet1" % fname #获取行数 nrows = sh.nrows #获取列数 ncols = sh.ncols print "nrows %d, ncols %d" % (nrows,ncols) #获取第一行第一列数据 cell_value = sh.cell_value(1,1) #print cell_value row_list = [] #获取各行数据 for i in range(1,nrows): row_data = sh.row_values(i) row_list.append(row_data)
2.写入Excel(需安装pyExcelerator)
from pyExcelerator import * w = Workbook() #创建一个工作簿 ws = w.add_sheet('Hey, Hades') #创建一个工作表 ws.write(0,0,'bit') #在1行1列写入bit ws.write(0,1,'huang') #在1行2列写入huang ws.write(1,0,'xuan') #在2行1列写入xuan w.save('mini.xls') #保存
3.再举个自己写的读写Excel的例子
读取reflect.xls中的某些信息进行处理后写入mini.xls文件中。
import xlrd from pyExcelerator import * w = Workbook() ws = w.add_sheet('Sheet1') fname = "reflect.xls" bk = xlrd.open_workbook(fname) shxrange = range(bk.nsheets) try: sh = bk.sheet_by_name("Sheet1") except: print "no sheet in %s named Sheet1" % fname nrows = sh.nrows ncols = sh.ncols print "nrows %d, ncols %d" % (nrows,ncols) cell_value = sh.cell_value(1,1) #print cell_value row_list = [] mydata = [] for i in range(1,nrows): row_data = sh.row_values(i) pkgdatas = row_data[3].split(',') #pkgdatas.split(',') #获取每个包的前两个字段 for pkgdata in pkgdatas: pkgdata = '.'.join((pkgdata.split('.'))[:2]) mydata.append(pkgdata) #将列表排序 mydata = list(set(mydata)) print mydata #将列表转化为字符串 mydata = ','.join(mydata) #写入数据到每行的第一列 ws.write(i,0,mydata) mydata = [] row_list.append(row_data[3]) #print row_list w.save('mini.xls')
4.需要根据Excel文件中满足特定要求的apk的md5值来从服务器获取相应的apk样本,这样做:
import xlrd import os import shutil fname = "./excelname.xls" bk = xlrd.open_workbook(fname) shxrange = range(bk.nsheets) try: #打开Sheet1工作表 sh = bk.sheet_by_name("Sheet1") except: print "no sheet in %s named Sheet1" % fname #获取行数 nrows = sh.nrows #获取列数 ncols = sh.ncols #print "nrows %d, ncols %d" % (nrows,ncols) #获取第一行第一列数据 cell_value = sh.cell_value(1,1) #print cell_value row_list = [] #range(起始行,结束行) for i in range(1,nrows): row_data = sh.row_values(i) if row_data[6] == "HXB": filename = row_data[3]+".apk" #print "%s %s %s" %(i,row_data[3],filename) filepath = r"./1/"+filename print "%s %s %s" %(i,row_data[3],filepath) if os.path.exists(filepath): shutil.copy(filepath, r"./myapk/")
使用xlwt3进行Excel文件的写操作:
import xlwt3 if __name__ == '__main__': datas = [['a', 'b', 'c'], ['d', 'e', 'f'], ['g', 'h']]#二维数组 file_path = 'D:\\test.xlsx' wb = xlwt3.Workbook() sheet = wb.add_sheet('test')#sheet的名称为test #单元格的格式 style = 'pattern: pattern solid, fore_colour yellow; '#背景颜色为黄色 style += 'font: bold on; '#粗体字 style += 'align: horz centre, vert center; '#居中 header_style = xlwt3.easyxf(style) row_count = len(datas) col_count = len(datas[0]) for row in range(0, row_count): col_count = len(datas[row]) for col in range(0, col_count): if row == 0:#设置表头单元格的格式 sheet.write(row, col, datas[row][col], header_style) else: sheet.write(row, col, datas[row][col]) wb.save(file_path)
输出的文件内容如下图:
挺容易的吧!那么,快来试试!
相关推荐:
Python读写sqlite3数据库的方法并且将数据写入Excel的实例详解
The above is the detailed content of Reading and writing Excel documents with Python. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
