Convert XLS to JSON in Python Excel Library
High-speed Python excel library for converting XLS to JSON. This is a professional software solution to import and export XLS, JSON, and many other formats using Python.
Convert XLS to JSON Using Python Excel Library
How do I convert XLS to JSON? With Aspose.Cells for Python library, you can easily convert XLS 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 XLS to JSON in Python Excel Library
The following example demonstrates how to convert XLS to JSON in Python excel library.
Follow the easy steps to convert XLS to JSON. Upload your XLS file, then simply save it as JSON file. For both XLS reading and JSON writing you can use fully qualified filenames. The output JSON content and formatting will be identical to the original XLS document.
import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook
workbook = Workbook("Input.xlsx")
workbook.save("Output.pdf")
jpype.shutdownJVM()
How to Convert XLS to JSON via Python
Need to convert XLS files to JSON programmatically? Python developers can easily load & convert XLS to JSON 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 XLS file with an instance of Workbook.
- Convert XLS to JSON by calling Workbook.save method.
- Get the conversion result of XLS to JSON.
Python Excel Library to Convert XLS 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:
- Install Aspose.Cells for Python via Java in Windows. See Documentation
- Install Aspose.Cells for Python via Java in Linux. See Documentation
- 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
.
XLS What is XLS File Format?
Files with XLS extension represent Excel Binary File Format. Such files can be created by Microsoft Excel as well as other similar spreadsheet programs such as OpenOffice Calc or Apple Numbers. File saved by Excel is known as Workbook where each workbook can have one or more worksheets. Data is stored and displayed to users in table format in worksheet and can span numeric values, text data, formulas, external data connections, images, and charts. Applications like Microsoft Excel lets you export workbook data to several different formats including PDF, CSV, XLSX, TXT, HTML, XPS, and several others. The XLS file format was replaced with a more open and structured format, XLSX, with the release of Microsoft Excel 2007. The latest versions still provide support for creating and reading XLS files, though XLSX is the first choice of use now.
Read MoreJSON 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.
Read MoreOther Supported Conversions
You can also convert XLS to many other file formats including few listed below.