This brief tutorial directs to create pivot table in Python with the help of detailed steps providing information about the environment configuration and Python program flow. While using Python Excel pivot table will be created using a runnable sample code after loading the source workbook containing the input data for the pivot table. In the end, the resultant workbook will be saved in any of the desired formats like XLSX, XLS, etc.

Steps to Create Pivot Table in Python

1. Establish the environment to install Aspose.Cells for Python via Java into the project
2. Load or create a Workbook class object containing input data for the pivot table
3. Get the reference to the pivot tables collection in the target worksheet
4. Add a pivot table in the collection
5. Configure the newly added pivot table
6. Add the desired fields into respective areas in the pivot table
7. Save the output workbook with the pivot table in it

These steps provide instructions for Python code to create pivot table in Excel by sharing a link to the environment configuration resource and to a sequence of tasks to be performed in Python to achieve the functionality. It guides to add fields to different areas in the pivot table as per the requirement. Once the pivot table is prepared, it is saved in the Excel file in the desired format.

Code to Create Excel Pivot Table with Python

These lines of code in Python create Excel pivot table using the data in the loaded Excel file. Note that you can skip the creation of the workbook if you have already an Excel file containing the data and just load it. This code also demonstrates the customization of the newly created pivot table by hiding the grand total of individual rows by setting the RowGrand flag to False whereas you can do other customizations also like setting the title of the alter text, setting column grand, custom list sorting, etc.

This article has guided us to create a pivot table. If you want to read password-protected Excel files, refer to the article on read password protected Excel file in Python.