


A clear article using Python to batch generate target Excel tables based on original Excel tables
Hello everyone, I am a Python advanced user.
1. Foreword
A few days ago, when I was helping fans solve problems, I encountered a simple little request. I will share it with you here. When I encounter it again later, you can Get inspired here.
2. Clarification of requirements
Fans’ questions come from actual needs. The picture below is the original data. Data in another table needs to be filled in at 1-3:
If it is a normal operation, you must click into the Excel file, then copy each cell, then paste it into a new file, then save it, and then rename it.
This is definitely possible, but what if there are hundreds of folders that need to be copied? What about thousands of files? It will definitely require a lot of time and energy. It is estimated that it may not be completed in one day.
Here we use Python for batch implementation!
3. Implementation process
Here is a feasible code for everyone. The idea is also very simple. The openpyxl library implements it. The code is as follows:
import openpyxl workbook1 = openpyxl.load_workbook("模板.xlsx") worksheet1 = workbook1.worksheets[0] print(worksheet1['C4'].value)# 金额 print(worksheet1['D4'].value)# 公司 print(worksheet1['F4'].value)# 编号 workbook2 = openpyxl.load_workbook("订单.xlsx") worksheet2 = workbook2[0] print(worksheet2['C3'].value)# 城市 print(worksheet2['D3'].value)# 编号 print(worksheet2['CU3'].value)# 金额 print(worksheet2['DM3'].value)# 公司 print(f"正在处理订单:{worksheet2['C3'].value}...") worksheet1['C4'].value = worksheet2['CU3'].value worksheet1['D4'].value = f"{worksheet2['DM3'].value}分公司" worksheet1['F4'].value = worksheet2['D3'].value new_file_name = f"({worksheet2['C3'].value} {worksheet2['D3'].value})" workbook1.save(new_file_name + '.xlsx') print(f"订单:{worksheet2['C3'].value}处理完成")
After the code is run, the corresponding data in the Excel file can be replaced. But this is just a replacement of a single file.
If you want to replace in batches, you need to add a for loop, as shown below:
for i in range(len(worksheet.row)): print(f"正在第{i}行,处理订单:{worksheet2[f'C{i}'].value}...") worksheet1['C4'].value = worksheet2[f'CU{i}'].value worksheet1['D4'].value = f"{worksheet2[f'DM{i}'].value}分公司" worksheet1['F4'].value = worksheet2[f'D{i}'].value new_file_name = f"({worksheet2[f'C{i}'].value} {worksheet2[f'D{i}'].value})" workbook1.save(new_file_name + '.xlsx') time.sleep(3) print(f"订单:{worksheet2[f'C{i}'].value}处理完成")
3. Summary
Hello everyone, I'm Pippi. This article mainly reviews a practical case of Python automated office work. This case can be applied to file processing in actual work. You can also slightly improve it and use it in your own actual work, and draw inferences from one example. Through this case, you should have learned a lot. I believe there should be other better methods. You are welcome to leave a message in the message area.
The above is the detailed content of A clear article using Python to batch generate target Excel tables based on original Excel tables. For more information, please follow other related articles on the PHP Chinese website!

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

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.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Zend Studio 13.0.1
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver CS6
Visual web development tools