Convert XLSB to TSV in Python Excel Library
High-speed Python excel library for converting XLSB to TSV. This is a professional software solution to import and export XLSB, TSV, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert XLSB to TSV Using Python Excel Library
How do I convert XLSB to TSV? With Aspose.Cells for Python library, you can easily convert XLSB to TSV 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 XLSB to TSV in Python Excel Library
The following example demonstrates how to convert XLSB to TSV in Python excel library.
Follow the easy steps to convert XLSB to TSV. Upload your XLSB file, then simply save it as TSV file. For both XLSB reading and TSV writing you can use fully qualified filenames. The output TSV content and formatting will be identical to the original XLSB 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 XLSB to TSV via Python
Need to convert XLSB files to TSV programmatically? Python developers can easily load & convert XLSB to TSV 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 XLSB file with an instance of Workbook.
- Convert XLSB to TSV by calling Workbook.save method.
- Get the conversion result of XLSB to TSV.
Python Excel Library to Convert XLSB to TSV
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.
XLSB What is XLSB File Format?
XLSB file format specifies the Excel Binary File Format, which is a collection of records and structures that specify Excel workbook content. The content can include unstructured or semi-structured tables of numbers, text, or both numbers and text, formulas, external data connections, charts and images. Unlike XLSX (which is based on Open XML file format), the XLSB represents binary Excel workbook file. XLSB files can be read and written to faster which makes them useful for working with large files. XLSB is seldom used to store workbooks as XLSX (and previously XLS) are the most common user selected file formats for saving workbooks. It can be opened by Microsoft Office 2007 and above.
Read MoreTSV What is TSV File Format?
A Tab-Separated Values (TSV) file format represents data separated with tabs in plain text format. The file format, similar to CSV, is used for organization of data in a structured manner in order to import and export between different applications. The format is primarily used for data import/export and exchange in Spreadsheet applications and databases. Each record in a TSV file is contained in a single line of text file where each field value is separated by a tab character. Media type for TSV file format is text/tab-separated-values.
Read MoreOther Supported Conversions
You can also convert XLSB to many other file formats including few listed below.