Convert Excel 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:

  1. Create a Workbook and add some values.
  2. Traverse the Excel data and export the data to a 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:

  1. Open an existing Excel file.
  2. Convert the data in each row and column into a 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:

  1. Create a Workbook and add some values.
  2. Export Excel data to a JSON string.
  3. Use the pandas library to read the 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:

  1. Convert an existing .xlsx file (ProductDatatoCSV.xlsx) to a CSV file.
  2. Convert the CSV file to a pandas DataFrame.


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