


Detailed explanation of how to read and write Excel using Python
In the process of learning Python, we will encounter problems with reading and writing Excel. At this time, we can use the xlwt module to write data into the Excel table and the xlrd module to read data from Excel. Below we introduce how to use Python to read and write Excel.
Python version: 3.5.2
Install xlwt and xlrd modules through pip, if not installed:
pip install xlwt
pip install xlrd
1. Write the Excel file:
# -*- conding:utf-8 -*- __author__ = 'mayi' #How to write to an Excel using xlwt module import xlwt #创建一个Wordbook对象,相当于创建了一个Excel文件 book = xlwt.Workbook(encoding = "utf-8", style_compression = 0) #创建一个sheet对象,一个sheet对象对应Excel文件中的一张表格 sheet = book.add_sheet("sheet1", cell_overwrite_ok = True) #向表sheet1中添加数据 sheet.write(0, 0, "EnglishName") #其中,"0, 0"指定表中的单元格,"EnglishName"是向该单元格中写入的内容 sheet.write(1, 0, "MaYi") sheet.write(0, 1, "中文名字") sheet.write(1, 1, "蚂蚁") #最后,将以上操作保存到指定的Excel文件中 book.save("name.xls")
2. Read the Excel file:
# -*- conding:utf-8 -*- __author__ = 'mayi' # How to read from an Excel using xlrd module import xlrd # 打开指定路径中的xls文件,得到book对象 xls_file = "name.xls" #打开指定文件 book = xlrd.open_workbook(xls_file) # 通过sheet索引获得sheet对象 sheet1 = book.sheet_by_index(0) # # 获得指定索引的sheet名 # sheet1_name = book.sheet_names()[0] # print(sheet1_name) # # 通过sheet名字获得sheet对象 # sheet1 = book.sheet_by_name(sheet1_name) # 获得行数和列数 # 总行数 nrows = sheet1.nrows #总列数 ncols = sheet1.ncols # 遍历打印表中的内容 for i in range(nrows): for j in range(ncols): cell_value = sheet1.cell_value(i, j) print(cell_value, end = "\t") print("")
The above is the detailed content of Detailed explanation of how to read and write Excel using 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

AI Hentai Generator
Generate AI Hentai for free.

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 and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

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.

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 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 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.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
