Comprehensive Guide to Python Excel Libraries and Operations

The article introduces multiple Python libraries for Excel manipulation, explaining their installation, core concepts, and typical use cases. It covers reading and writing data with xlrd/xlwt, advanced editing with xlutils and xlwings, creating charts using openpyxl and XlsxWriter, automating Excel via win32com, and performing data analysis with pandas.

Key sections include:

Installation commands for each library (e.g., pip install xlrd xlwt xlutils xlwings openpyxl XlsxWriter pypiwin32 pandas ).

Basic operations such as opening workbooks, accessing sheets, reading/writing cells, and saving files, illustrated with code snippets for each library.

Advanced features like formatting cells, merging ranges, setting row/column dimensions, and applying styles.

Generating various chart types (line, bar, pie, 3D) using openpyxl and XlsxWriter, with examples of configuring titles, axes, and series data.

Automation techniques using win32com to control Excel via COM objects.

Data manipulation and export using pandas, including reading Excel into DataFrames, adding rows/columns, and writing back to new files.

Each code example is provided within ... tags to preserve syntax, and the article concludes with sample outputs and screenshots demonstrating the resulting Excel files.