Convert NUMBERS to OTS in Python Excel Library
High-speed Python excel library for converting NUMBERS to OTS. This is a professional software solution to import and export NUMBERS, OTS, and many other formats using Python.
Convert NUMBERS to OTS Using Python Excel Library
How do I convert NUMBERS to OTS? With Aspose.Cells for Python library, you can easily convert NUMBERS to OTS 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 NUMBERS to OTS in Python Excel Library
The following example demonstrates how to convert NUMBERS to OTS in Python excel library.
Follow the easy steps to convert NUMBERS to OTS. Upload your NUMBERS file, then simply save it as OTS file. For both NUMBERS reading and OTS writing you can use fully qualified filenames. The output OTS content and formatting will be identical to the original NUMBERS 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 NUMBERS to OTS via Python
Need to convert NUMBERS files to OTS programmatically? Python developers can easily load & convert NUMBERS to OTS 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 NUMBERS file with an instance of Workbook.
- Convert NUMBERS to OTS by calling Workbook.save method.
- Get the conversion result of NUMBERS to OTS.
Python Excel Library to Convert NUMBERS to OTS
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
.
NUMBERS What is NUMBERS File Format?
The files with .numbers extension are classified as spreadsheet file type, that's why they are similar to the .xlsx files; but the Numbers files are created by using Apple iWork Numbers spreadsheet software. The Apple iWork Numbers is a unit software of the iWork Productivity Suite. The iWork Productivity Suite is equivalent to the Microsoft Office Suite that is used on Windows PCs. Hence, we can say the Numbers which is available for MacOS is also a competitor of Microsoft Excel. Likewise, Microsoft Excel, the NUMBERS file may also contain the tables, charts and formulas.
Read MoreOTS What is OTS File Format?
A file with .ots extension is an OpenDocument Spreadsheet Template file that is created with the Calc application software included in Apache OpenOffice. Calc application software is the similar to Excel available in Microsoft Office. OTS file format is used to create templates that contain predefine settings related to styles, font, data, spreadsheet layout, and formatting. OTF files have mime-type application/vnd.oasis.opendocument.spreadsheet-template. These template files can be used as a starting point to generate and save actual data files that are saved in ODS file format. OTS files can be used with applications such as OpenOffice and LibreOffice.
Read MoreOther Supported Conversions
You can also convert NUMBERS to many other file formats including few listed below.