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Convert CSV to SPREADSHEETML in Python Excel Library

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

 

Aspose.Cells for Python Aspose.Cells for Python

Overview

Convert CSV to SPREADSHEETML Using Python Excel Library

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

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

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

Sample Code to Convert CSV to SPREADSHEETML 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 CSV to SPREADSHEETML via Python

Need to convert CSV files to SPREADSHEETML programmatically? Python developers can easily load & convert CSV to SPREADSHEETML 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 CSV file with an instance of Workbook.
  4. Convert CSV to SPREADSHEETML by calling Workbook.save method.
  5. Get the conversion result of CSV to SPREADSHEETML.

Python Excel Library to Convert CSV to SPREADSHEETML

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.

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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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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Other Supported Conversions

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

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