Convert CSV to TXT in Python

CSV (Comma-Separated Values) files are commonly used for data storage and exchange, while TXT (plain text) files have their own use cases. Converting data between these formats is a common task, and in this blog post, we will explore how to convert CSV data to TXT in Python.

Python Library to Convert CSV Data to TXT

Aspose.Cells for Python is a powerful API for working with Microsoft Excel and other spreadsheet formats. It offers a wide range of features for reading, writing, and manipulating Excel files and various data file formats. With the Aspose.Cells for Python library, you can seamlessly integrate Excel-related functionality into your Python applications.

You can execute the following pip command to install Aspose.Cells for Python in your applications.

  • pip install aspose-cells

You can also download the API package from the downloads section.

Steps to Convert CSV Data to TXT

You can easily convert a CSV file to TXT format using Aspose.Cells for Python. The following are the steps to perform this conversion.

  • Load CSV file from disk.
  • Save CSV as TXT to desired location.

Let’s now write the code to save a CSV file in TXT format in Python.

Convert CSV Data to TXT in Python

The following are the steps to convert a CSV file to TXT in Python.

The following code sample shows how to convert CSV to TXT in Python.

Convert CSV to TXT Online

Use our free online CSV to TXT converter, which is based on Aspose.Cells. No need to create an account or subscribe to anything.

Get Free CSV to TXT Conversion Library

You can use Aspose.Cells for Python without evaluation limitations and export CSV to TXT with a free temporary license.

Explore Python Excel Library

You can read more about Python Excel API using the documentation. In case you would have any questions or queries, you can contact us via our forum.


Converting data between file formats is a common requirement in data processing and analysis. With Aspose.Cells for Python, you can easily convert CSV files to TXT format in your Python applications, allowing you to work with data in various ways. This powerful library provides a wide range of capabilities for working with Excel and other spreadsheet formats, making it a valuable tool in your data manipulation operations.

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