Merge ODS to SQL via Python Excel Library
High-speed Python excel library for merging ODS to SQL. 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.
Merge ODS to SQL Using Python Excel Library
How do I merge ODS to SQL? With Aspose.Cells for Python via .NET library, you can easily merge ODS to SQL programmatically with a few lines of code. Aspose.Cells for Python via .NET 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 .NET from pypi, use command as:$ pip install aspose-cells-python
.Merge ODS to SQL in Python Excel Library
The following example demonstrates how to merge ODS to SQL in Aspose.Cells for Python via .NET.
Follow the easy steps to merge ODS to SQL. Upload your files, call Workbook.Combine method for merging files, and then save it to SQL file. If you develop code in Python, this will be simpler than it sounds. See Python example that merges ODS to SQL.
import aspose.cells
from aspose.cells import Workbook
workbook = Workbook("Input.xlsx")
workbook.combine(Workbook("Combine.xlsx"))
workbook.save("Output.pdf")
How to Merge ODS to SQL via Python Excel Library
Need to merge ODS to SQL programmatically? A basic document merging and concatenating with Aspose.Cells for Python via .NET APIs can be done with just few lines of code.
- Install ‘Aspose.Cells for Python via .NET’.
- Add a library reference (import the library) to your Python project.
- Load the ODS 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 ODS to SQL
We host our Python packages in PyPi repositories.
Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells-python
.
And you can also follow the step-by-step instructions on how to install “Aspose.Cells for Python via .NET” to your developer environment.
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.
ODS What is ODS File Format?
Files with .ods extension stand for OpenDocument Spreadsheet Document format that are editable by user. Data is stored inside ODF file into rows and columns. It is XML-based format and is one of the several subtypes in the Open Document Formats (ODF) family. The format is specified as part of the ODF 1.2 specifications published and maintained by OASIS. A number of applications on Windows as well as other operating systems can open ODS files for editing and manipulation including Microsoft Excel, NeoOffice and LibreOffice. ODS files can also be converted into other spreadsheet formats as well like XLS, XLSX and others by different applications.
Read MoreSQL What is SQL File Format?
A file with .sql extension is a Structured Query Language (SQL) file that contains code to work with relational databases. It is used to write SQL statements for CRUD (Create, Read, Update, and Delete) operations on databases. SQL files are common while working with desktop as well as web-based databases. There are several alternatives to SQL such as Java Persistence Query Language (JPQL), LINQ, HTSQL, 4D QL, and several others. SQL files can be opened by query editors of Microsoft SQL Server, MySQL and other plain text editors such as Notepad on Windows OS.
Read MoreOther Supported Merging Formats
Using Python excel library, One can also merge ods to many other file formats including.