Convert CSV to XLT in Python Excel Library
High-speed Python excel library for converting CSV to XLT. This is a professional software solution to import and export CSV, XLT, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert CSV to XLT Using Python Excel Library
How do I convert CSV to XLT? With Aspose.Cells for Python library, you can easily convert CSV to XLT 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 XLT in Python Excel Library
The following example demonstrates how to convert CSV to XLT in Python excel library.
Follow the easy steps to convert CSV to XLT. Upload your CSV file, then simply save it as XLT file. For both CSV reading and XLT writing you can use fully qualified filenames. The output XLT content and formatting will be identical to the original CSV 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 CSV to XLT via Python
Need to convert CSV files to XLT programmatically? Python developers can easily load & convert CSV to XLT 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 CSV file with an instance of Workbook.
- Convert CSV to XLT by calling Workbook.save method.
- Get the conversion result of CSV to XLT.
Python Excel Library to Convert CSV to XLT
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.
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.
Read MoreXLT What is XLT File Format?
Files with .xlt extension are template files created with Microsoft Excel which is a spreadsheet application which comes as part of Microsoft Office suite. Microsoft Office 97-2003 supported creating new XLT files as well as opening these. The latest version of Excel is still capable of opening this old format template files. Such a template file is used to quickly create new Excel files with default data and settings such as page formatting, font size, margins, charts, etc which can be further saved as new .xls files.
Read MoreOther Supported Conversions
You can also convert CSV to many other file formats including few listed below.