Merge NUMBERS to DOCX via Python Excel Library
High-speed Python excel library for merging NUMBERS to DOCX. Use our excel conversion API to develop high-level, platform independent software in Python. This is a professional software solution to import and export Excel, CSV, OpenOffice, PDF, HTML, image, and many other excel formats.
Aspose.Cells for Python
Overview
Merge NUMBERS to DOCX Using Python Excel Library
How do I merge NUMBERS to DOCX? With Aspose.Cells for Python via Java library, you can easily merge NUMBERS to DOCX programmatically with a few lines of code. Aspose.Cells for Python via Java 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. You may install Aspose.Cells for Python via Java from pypi, use command as:$ pip install aspose-cells.Merge NUMBERS to DOCX in Python Excel Library
The following example demonstrates how to merge NUMBERS to DOCX in Aspose.Cells for Python via Java.
Follow the easy steps to merge NUMBERS to DOCX. Upload your files, call Workbook.Combine method for merging files, and then save it to DOCX file. If you develop code in Python, this will be simpler than it sounds. See Python example that merges NUMBERS to DOCX.
import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook
workbook = Workbook("Input.xlsx")
workbook.combine(Workbook("Combine.xlsx"))
workbook.Save("Output.pdf")
jpype.shutdownJVM()
How to Merge NUMBERS to DOCX via Python Excel Library
Need to merge NUMBERS to DOCX programmatically? A basic document merging and concatenating with Aspose.Cells for Python via Java APIs can be done with just few lines of code.
- Install ‘Aspose.Cells for Python via Java’.
- Add a library reference (import the library) to your Python project.
- Load the NUMBERS file with Workbook class.
- Call the Workbook.Combine method for merging files.
- Call the Workbook.Save method and pass the output file name as a parameter.
- Now you can open and use the output file in Microsoft Office, Adobe PDF or any other compatible program.
Python library to merge NUMBERS to DOCX
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
Our APIs are supported on all major platforms and Operating Systems. Before executing the code below, please make sure that you have the following prerequisites on your system.
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 MoreDOCX What is DOCX File Format?
DOCX is a well-known format for Microsoft Word documents. Introduced from 2007 with the release of Microsoft Office 2007, the structure of this new Document format was changed from plain binary to a combination of XML and binary files. Docx files can be opened with Word 2007 and lateral versions but not with the earlier versions of MS Word which support DOC file extensions.
Read MoreOther Supported Merging Formats
Using Python excel library, One can also merge numbers to many other file formats including.