This short tutorial guides you on grouping rows in Excel with Python. It has the details to set the IDE for development, a list of programming steps, and a sample code showing how to group columns in Excel with Python. You will learn to group and un-group rows and columns along with the option to set the flag for expanding or collapsing them while opening the output file in MS Excel.

Steps to Group Columns in Excel with Python

1. Set the IDE to use Aspose.Cells for Python via Java to group rows and columns
2. Load the Excel file using the Workbook class and access the collection of sheets
3. Access the cell collection from the target sheet
4. Call the groupRows() by providing the starting rows, ending row, and the flag to collapse
5. Call the groupColumns() by setting the starting columns, ending column, and the flag to collapse
6. Save the output Excel file

The above steps describe how to group rows in Excel with expand collapse in Python. Commence the process to get the collection of cells from the desired sheet in the target Excel file. Call the groupRows() and groupColumns() methods by providing the start item, end item, and flag to set the collapse state when you open it in MS Excel.

Code for Grouping Rows in Excel with Python

This sample code shows how to create collapsible rows in Excel with Python. You can create multiple group levels by adding groups within a bigger group. It will display various levels of groupings in MS Excel, where you can collapse/expand rows and columns up to the desired level of group. You can use ungroupRows() and ungroupColumns() to ungroup the desired set of rows or columns.

This article has taught us how to group and ungroup rows in Excel with Python. To auto-fit rows and columns in Excel, refer to the article on autofit rows and columns in Excel using Python.