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

High-speed Python excel library for merging JSON 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 JSON to CSV Using Python Excel Library

How do I merge JSON to CSV? With Aspose.Cells for Python via Java library, you can easily merge JSON 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 JSON to CSV in Python Excel Library

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

Follow the easy steps to merge JSON 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 JSON to CSV.

Sample Code to Merge JSON 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 JSON to CSV via Python Excel Library

Need to merge JSON 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 JSON 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 JSON 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.

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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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 json to many other file formats including.

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