Convert CSV to ODS in Python
High-speed Python library for converting CSV to ODS. This is a professional software solution to import and export CSV, ODS, and many other formats using Python.
Convert CSV to ODS Using PythonHow do I convert CSV to ODS? With Aspose.Cells for Python library, you can easily convert CSV to ODS programmatically with a few lines of code. Aspose.Cells for Python is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. Python Excel API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS, CSV, SVG, JSON, WORD, PPT and more, thus making it a perfect choice to exchange documents in industry-standard formats.
Save CSV to ODS in Python
The following example demonstrates how to convert CSV to ODS in Python.
Follow the easy steps to convert CSV to ODS. Upload your CSV file, then simply save it as ODS file. For both CSV reading and ODS writing you can use fully qualified filenames. The output ODS content and formatting will be identical to the original CSV document.
How to Convert CSV to ODS via Python
Need to convert CSV files to ODS programmatically? Python developers can easily load & convert CSV to ODS in just a few lines of code.
- Install ‘Aspose.Cells for Python via Java’.
- Add a library reference (import the library) to your Python project.
- Load CSV file with an instance of Workbook.
- Convert CSV to ODS by calling Workbook.save method.
- Get the conversion result of CSV to ODS.
Python library to convert CSV to ODS
There are three options to install “Aspose.Cells for Python via Java” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:
Aspose.Cells for Python via Java is platform-independent API and can be used on any platform (Windows, Linux and MacOS), just make sure that system have Java 1.8 or higher, Python 3.5 or higher.
- Install Java and add it to PATH environment variable, for example:
- Install Aspose.Cells for Python from pypi, use command as:
$ pip install aspose-cells.
CSV What is CSV File Format?
Files with .csv (Comma Separated Values) extension represent plain text files that contain records of data with comma separated values. Each line in a CSV file is a new record from the set of records contained in the file. Such files are generated when data transfer is intended from one storage system to another. Since all applications can recognize records separated by comma, import of such data files to database is done very conveniently. Almost all spreadsheet applications such as Microsoft Excel or OpenOffice Calc can import CSV without much effort. Data imported from such files is arranged in cells of a spreadsheet for representation to user.Read More
ODS What is ODS File Format?
Files with .ods extension stand for OpenDocument Spreadsheet Document format that are editable by user. Data is stored inside ODF file into rows and columns. It is XML-based format and is one of the several subtypes in the Open Document Formats (ODF) family. The format is specified as part of the ODF 1.2 specifications published and maintained by OASIS. A number of applications on Windows as well as other operating systems can open ODS files for editing and manipulation including Microsoft Excel, NeoOffice and LibreOffice. ODS files can also be converted into other spreadsheet formats as well like XLS, XLSX and others by different applications.Read More
Other Supported Conversions
You can also convert CSV to many other file formats including few listed below.