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Aspose.Cells  for Python
XLTX

Merge SPREADSHEETML to XLTX via Python

High-speed Python library for merging SPREADSHEETML to XLTX. 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 SPREADSHEETML to XLTX Using Python

How do I merge SPREADSHEETML to XLTX? With Aspose.Cells for Python via Java library, you can easily merge SPREADSHEETML to XLTX 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 SPREADSHEETML to XLTX in Python

The following example demonstrates how to merge SPREADSHEETML to XLTX in Aspose.Cells for Python via Java.

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

Sample Code to Merge SPREADSHEETML to XLTX in Python
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 SPREADSHEETML to XLTX via Python

Need to merge SPREADSHEETML to XLTX 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 SPREADSHEETML 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 SPREADSHEETML to XLTX

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.

SPREADSHEETML What is SPREADSHEETML File Format?

XML stands for Extensible Markup Language that is similar to HTML but different in using tags for defining objects. The whole idea behind creation of XML file format was to store and transport data without being dependent on software or hardware tools. Its popularity is due to it being both human as well as machine readable. This enables it to create common data protocols in the form of objects to be stored and shared over network such as World Wide Web (WWW). The "X" in XML is for extensible which implies that the language can be extended to any number of symbols as per user requirements. It is for these features that many standard file formats make use of it such as Microsoft Open XML, LibreOffice OpenDocument, XHTML and SVG.

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XLTX What is XLTX File Format?

Files with .xltx extension represent Microsoft Excel Template files that are based on the Office OpenXML file format specifications. It is used to create a standard template file that can be utilized to generate XLSX files that exhibit the same settings as specified in the XLTX file.

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Other Supported Merging Formats

Using Python, One can also merge spreadsheetml to many other file formats including.

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