Convert Excel to Pandas DataFrame

Using Aspose.Cells for Python via .NET API, you can you can convert Excel, TSV, CSV, Json and many different formats to pandas DataFrame.

Convert Excel to Pandas DataFrame From Scratch

Here’s an example code snippet to demonstrate how to export excel data to a pandas DataFrame directly using Aspose.Cells for Python via .NET:

Create a Workbook and add some values.
Traverse excel data and export data to Pandas DataFrame using Aspose.Cells for Python via .NET.

Convert an Existing Excel File to Pandas DataFrame

Here’s an example code snippet to demonstrate how to export excel data to a pandas DataFrame by opening an existing .xlsx file using Aspose.Cells for Python via .NET:

Open a existing Excel file.
Convert each row and column cells data into pandas DataFrame.

Convert Excel to Pandas DataFrame via json data

Here’s an example code snippet to demonstrate how to export excel data to a pandas DataFrame via json data using Aspose.Cells for Python via .NET:

Create a Workbook and add some values.
Export excel data to JSON string.
Use the pandas library to read JSON data.

Convert Excel to Pandas DataFrame via CSV file

Due to the characteristics of the CSV file format, converting an .xlsx file to a CSV file and then loading it into a Pandas DataFrame is a natural and straightforward process:

Convert a existing xlsx to CSV file.
Convert CSV file to Pandas DataFrame .

Using Aspose.Cells for Python via .NET as a Pandas Excel Engine