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Convert SPREADSHEETML to JSON in Python Excel Library

High-speed Python excel library for converting SPREADSHEETML to JSON. This is a professional software solution to import and export SPREADSHEETML, JSON, and many other formats using Python.

 

Aspose.Cells for Python Aspose.Cells for Python

Overview

Convert SPREADSHEETML to JSON Using Python Excel Library

How do I convert SPREADSHEETML to JSON? With Aspose.Cells for Python library, you can easily convert SPREADSHEETML to JSON 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 SPREADSHEETML to JSON in Python Excel Library

The following example demonstrates how to convert SPREADSHEETML to JSON in Python excel library.

Follow the easy steps to convert SPREADSHEETML to JSON. Upload your SPREADSHEETML file, then simply save it as JSON file. For both SPREADSHEETML reading and JSON writing you can use fully qualified filenames. The output JSON content and formatting will be identical to the original SPREADSHEETML document.

Sample Code to Convert SPREADSHEETML to JSON via Python Excel Library
Input file
Convert
Select format
   
                                   
                
	
  import  jpype     
  import  asposecells     
  jpype.startJVM() 
  from asposecells.api import Workbook
  workbook = Workbook("Input.xlsx")
  workbook.save("Output.pdf")
  jpype.shutdownJVM()
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How to Convert SPREADSHEETML to JSON via Python

Need to convert SPREADSHEETML files to JSON programmatically? Python developers can easily load & convert SPREADSHEETML to JSON in just a few lines of code.

  1. Install ‘Aspose.Cells for Python via Java’.
  2. Add a library reference (import the library) to your Python project.
  3. Load SPREADSHEETML file with an instance of Workbook.
  4. Convert SPREADSHEETML to JSON by calling Workbook.save method.
  5. Get the conversion result of SPREADSHEETML to JSON.

Python Excel Library to Convert SPREADSHEETML to JSON

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

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: PATH=C:\Program Files\Java\jdk1.8.0_131;.
  • 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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JSON What is JSON File Format?

JSON (JavaScript Object Notation) is an open standard file format for sharing data that uses human-readable text to store and transmit data. JSON files are stored with the .json extension. JSON requires less formatting and is a good alternative for XML. JSON is derived from JavaScript but is a language-independent data format. The generation and parsing of JSON is supported by many modern programming languages. application/json is the media type used for JSON.

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Other Supported Conversions

You can also convert SPREADSHEETML to many other file formats including few listed below.

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