Convert Pandas DataFrame to Excel

Using Aspose.Cells for Python via .NET API, you can convert Pandas DataFrames to Excel, OpenOffice, PDF, JSON, and many other formats.

Convert Pandas DataFrame to Excel directly

Here’s an example code snippet to demonstrate how to import data from a Pandas DataFrame to an Excel file using Aspose.Cells for Python via .NET:

1. Create a sample Pandas DataFrame.
2. Traverse the DataFrame and import data using Aspose.Cells for Python via .NET.

Convert Pandas DataFrame to XLSX via CSV format

Converting a Pandas DataFrame to CSV is a common operation. Using Aspose.Cells for Python via .NET, we can perform additional processing on the generated CSV file, such as creating charts and saving it as an XLSX file. The following code demonstrates this workflow:

1. Create a sample Pandas DataFrame.
2. Convert the DataFrame to CSV using Pandas.
3. Create charts and save them as XLSX with Aspose.Cells for Python via .NET.

Convert Pandas DataFrame to Excel via JSON data

Here’s an example code snippet to demonstrate how to import data from a Pandas DataFrame to an Excel file using Aspose.Cells for Python via .NET:

1. Create a sample Pandas DataFrame.
2. Use the Pandas library to convert the DataFrame data into JSON.
3. Import the JSON data using Aspose.Cells for Python via .NET.

Exporting Multiple Pandas DataFrames to Excel Sheets

Sometimes we may also want to insert multiple DataFrames into different worksheets in an Excel file. The following example demonstrates this process.