Convert XLS to XLAM in Python Excel Library
High-speed Python excel library for converting XLS to XLAM. This is a professional software solution to import and export XLS, XLAM, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert XLS to XLAM Using Python Excel Library
How do I convert XLS to XLAM? With Aspose.Cells for Python library, you can easily convert XLS to XLAM 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 XLS to XLAM in Python Excel Library
The following example demonstrates how to convert XLS to XLAM in Python excel library.
Follow the easy steps to convert XLS to XLAM. Upload your XLS file, then simply save it as XLAM file. For both XLS reading and XLAM writing you can use fully qualified filenames. The output XLAM content and formatting will be identical to the original XLS 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 XLS to XLAM via Python
Need to convert XLS files to XLAM programmatically? Python developers can easily load & convert XLS to XLAM 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 XLS file with an instance of Workbook.
- Convert XLS to XLAM by calling Workbook.save method.
- Get the conversion result of XLS to XLAM.
Python Excel Library to Convert XLS to XLAM
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.
XLS What is XLS File Format?
Files with XLS extension represent Excel Binary File Format. Such files can be created by Microsoft Excel as well as other similar spreadsheet programs such as OpenOffice Calc or Apple Numbers. File saved by Excel is known as Workbook where each workbook can have one or more worksheets. Data is stored and displayed to users in table format in worksheet and can span numeric values, text data, formulas, external data connections, images, and charts. Applications like Microsoft Excel lets you export workbook data to several different formats including PDF, CSV, XLSX, TXT, HTML, XPS, and several others. The XLS file format was replaced with a more open and structured format, XLSX, with the release of Microsoft Excel 2007. The latest versions still provide support for creating and reading XLS files, though XLSX is the first choice of use now.
Read MoreXLAM What is XLAM File Format?
XLAM is an Macro-Enabled Add-In file that is used to add new functions to spreadsheets. An Add-In is a supplemental program that runs additional code and provides additional functionality for spreadsheets. XLAM files are stored with the .xlam extension. XLAM files are XML-based files similar to XLSM and XLSX file formats and are saved with ZIP compression to reduce the overall file size.
Read MoreOther Supported Conversions
You can also convert XLS to many other file formats including few listed below.