Merge CSV to MHT via Python
High-speed Python library for merging CSV to MHT. 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 CSV to MHT Using Python
How do I merge CSV to MHT? With Aspose.Cells for Python via Java library, you can easily merge CSV to MHT 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 CSV to MHT in Python
The following example demonstrates how to merge CSV to MHT in Aspose.Cells for Python via Java.
Follow the easy steps to merge CSV to MHT. Upload your files, call Workbook.Combine method for merging files, and then save it to MHT file. If you develop code in Python, this will be simpler than it sounds. See Python example that merges CSV to MHT.
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 CSV to MHT via Python
Need to merge CSV to MHT 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 CSV 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 CSV to MHT
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.
CSV What is CSV File Format?
Files with .csv (Comma Separated Values) extension represent plain text files that contain records of data with comma separated values. Each line in a CSV file is a new record from the set of records contained in the file. Such files are generated when data transfer is intended from one storage system to another. Since all applications can recognize records separated by comma, import of such data files to database is done very conveniently. Almost all spreadsheet applications such as Microsoft Excel or OpenOffice Calc can import CSV without much effort. Data imported from such files is arranged in cells of a spreadsheet for representation to user.
Read MoreMHT What is MHT File Format?
A file with .mht extension is a MIME enabled archiving file format that contains different types of data into a single file. It can store data such as text, images, page styling in the form of CSS files, JavaScript, and other resources as embedded resources in it. MHT files, having MIME type message/rfc822, encapsulate all the contents of an HTML file as a single archive file for storing on archiving on storage devices. Software applications such as Microsoft Word lets you convert your WORD documents to MHT by exporting as MHT file. MHT files can be opened using popular browsers such as Microsoft Internet Explore and Google Chrome.
Read MoreOther Supported Merging Formats
Using Python, One can also merge csv to many other file formats including.