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Aspose.Cells  for Python
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Merge ODS to CSV via Python Excel Library

High-speed Python excel library for merging ODS to CSV. Use our excel conversion API to develop high-level, platform independent software in Python. This is a professional software solution to import and export Excel, CSV, OpenOffice, PDF, HTML, image, and many other excel formats.

Merge ODS to CSV Using Python Excel Library

How do I merge ODS to CSV? With Aspose.Cells for Python via Java library, you can easily merge ODS to CSV programmatically with a few lines of code. Aspose.Cells for Python via Java 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. You may install Aspose.Cells for Python via Java from pypi, use command as: $ pip install aspose-cells.

Merge ODS to CSV in Python Excel Library

The following example demonstrates how to merge ODS to CSV in Aspose.Cells for Python via Java.

Follow the easy steps to merge ODS to CSV. Upload your files, call Workbook.Combine method for merging files, and then save it to CSV file. If you develop code in Python, this will be simpler than it sounds. See Python example that merges ODS to CSV.

Sample Code to Merge ODS to CSV in Python Excel Library
Select two files
Output format
   
                                   
                
	
  import  jpype     
  import  asposecells     
  jpype.startJVM() 
  from asposecells.api import Workbook
  workbook = Workbook("Input.xlsx")
  workbook.combine(Workbook("Combine.xlsx"))
  workbook.Save("Output.pdf")
  jpype.shutdownJVM()
	
                
            

How to Merge ODS to CSV via Python Excel Library

Need to merge ODS to CSV programmatically? A basic document merging and concatenating with Aspose.Cells for Python via Java APIs can be done with just few lines of code.

  • Install ‘Aspose.Cells for Python via Java’.
  • Add a library reference (import the library) to your Python project.
  • Load the ODS file with Workbook class.
  • Call the Workbook.Combine method for merging files.
  • Call the Workbook.Save method and pass the output file name as a parameter.
  • Now you can open and use the output file in Microsoft Office, Adobe PDF or any other compatible program.

Python library to merge ODS to CSV

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:

  1. Install Aspose.Cells for Python via Java in Windows. See Documentation
  2. Install Aspose.Cells for Python via Java in Linux. See Documentation
  3. Install Aspose.Cells for Python via Java in macOS. See Documentation

System Requirements

Our APIs are supported on all major platforms and Operating Systems. Before executing the code below, please make sure that you have the following prerequisites on your system.

  • Install Java 1.8 or higher and add it to PATH environment variable, for example: PATH=C:\Program Files\Java\jdk1.8.0_131;.
  • Install Python 3.5 or higher.
  • Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells.

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.

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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.

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Other Supported Merging Formats

Using Python excel library, One can also merge ods to many other file formats including.

Merge ODS to DOCX (Microsoft Word document)
Merge ODS to SQL (Structured Query Language)
Merge ODS to BMP (Bitmap Image)
Merge ODS to EMF (Enhanced Metafile Format)
Merge ODS to GIF (Graphical Interchange Format)
Merge ODS to HTML (Hyper Text Markup Language)
Merge ODS to MD (Markdown Language)
Merge ODS to MHTML (Web Page Archive Format)
Merge ODS to ODS (OpenDocument Spreadsheet File)
Merge ODS to PDF (Portable Document Format)
Merge ODS to PNG (Portable Network Graphics)
Merge ODS to SVG (Scalable Vector Graphics)
Merge ODS to TIFF (Tagged Image Format)
Merge ODS to TSV (Tab-Separated Values)
Merge ODS to TXT (Text Document)
Merge ODS to XLS (Excel Binary Format)
Merge ODS to XLSB (Binary Excel Workbook File)
Merge ODS to XLSM (Spreadsheet File)
Merge ODS to XLSX (OOXML Excel File)
Merge ODS to XLT (Microsoft Excel Template)
Merge ODS to XLTM (Excel Macro-enabled Template)
Merge ODS to XLTX (Office OpenXML Excel Template)
Merge ODS to XML (Extensible Markup Language)
Merge ODS to XPS (XML Paper Specifications)
Merge ODS to JSON (JavaScript Object Notation)
Merge ODS to JPEG (JPEG Image)