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Aspose.Cells  for Python
JPEG

Merge IMAGE to JPEG via Python Excel Library

High-speed Python excel library for merging IMAGE to JPEG. 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 IMAGE to JPEG Using Python Excel Library

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

The following example demonstrates how to merge IMAGE to JPEG in Aspose.Cells for Python via Java.

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

Sample Code to Merge IMAGE to JPEG 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 IMAGE to JPEG via Python Excel Library

Need to merge IMAGE to JPEG 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 IMAGE 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 IMAGE to JPEG

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.

IMAGE What is IMAGE File Format?

A PNG (Portable Network Graphics) file is a raster image file format that uses lossless compression. This file format was created as a replacement of Graphics Interchange Format (GIF) and has no copyright limitations. However, PNG file format does not support animations. PNG file format supports lossless image compression that makes it popular among its users. With the passage of time, PNG has evolved as one of the widely used image file formats.

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JPEG What is JPEG File Format?

A JPEG is a type of image format that is saved using the method of lossy compression. The output image, as result of compression, is a trade-off between storage size and image quality. Users can adjust the compression level to achieve the desired quality level while at the same time reduce the storage size. Image quality is negligibly affected if 10:1 compression is applied to the image. The higher the compression value, the higher the degradation in image quality.

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Other Supported Merging Formats

Using Python excel library, One can also merge image to many other file formats including.

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