This topic covers how to open and read Excel file in Python. It provides IDE setup instructions, a step-by-step approach, and a working example to create an XLSX reader in Python. Additionally, it discusses various methods to enhance the data extraction workflow as needed.

Steps to Read Excel in Python

1. Configure the IDE to use Aspose.Cells for Python via Java for reading Excel workbooks
2. Get the source Excel file and access the target sheet from the WorksheetCollection class
3. Specify the number of populated columns and rows in the sheet
4. Define nested loops to traverse the columns in each of the populated row
5. Retrieve the contents of the cell using the Cell.Value property

The steps listed above detail the procedure to read Excel in Python. Start by loading the Excel file, access the desired worksheet, and then retrieve the needed data. Next, loop through the dataset by rows and columns to obtain each cell’s content.

Code to Create XLSX Reader in Python

This basic code snippet demonstrates how to create an XLSX file reader in Python. Firstly, the Excel spreadsheet is loaded using the Workbook class and subsequently accessing a worksheet using the index number. It is also possible to access worksheets using their names, or you can revise the snippet to go through each worksheet in the Excel file to extract all its content.

This article has explained the method to read XLSX in Python. To explore how to freeze panes, check out the article on Freeze Panes in Excel using Python.