XLSX ODS HTML NUMBERS CSV
Aspose.Cells  for Python
EMF

Merge JSON to EMF via Python Excel Library

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

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

Merge JSON to EMF in Python Excel Library

The following example demonstrates how to merge JSON to EMF in Aspose.Cells for Python via .NET.

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

Sample Code to Merge JSON to EMF in Python Excel Library
Select two files
Output format
   
                                   

	
  import  aspose.cells 
  from aspose.cells import Workbook
  
  workbook = Workbook("Input.xlsx")
  workbook.combine(Workbook("Combine.xlsx"))
  workbook.save("Output.pdf")
	 	
                
            

How to Merge JSON to EMF via Python Excel Library

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

  • Install ‘Aspose.Cells for Python via .NET’.
  • 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 EMF

We host our Python packages in PyPi repositories.

Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells-python.

And you can also follow the step-by-step instructions on how to install “Aspose.Cells for Python via .NET” to your developer environment.

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 Python 3.7 or higher.
  • Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells-python.

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.

Read More

EMF What is EMF File Format?

Enhanced metafile format (EMF) stores graphical images device-independently. Metafiles of EMF comprises of variable-length records in chronological order that can render the stored image after parsing on any output device. These variable-length records can be definitions of enclosed objects, commands for drawing, and graphics properties critical to render the image accurately. When a device opens an EMF metafile using its own graphics environment, the proportions, dimensions, colors and other graphic properties of original image remains same regardless of the opening device platform.

Read More

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)