Convert CSV to XLTM in Python Excel Library
High-speed Python excel library for converting CSV to XLTM. This is a professional software solution to import and export CSV, XLTM, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert CSV to XLTM Using Python Excel Library
How do I convert CSV to XLTM? With Aspose.Cells for Python library, you can easily convert CSV to XLTM 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 CSV to XLTM in Python Excel Library
The following example demonstrates how to convert CSV to XLTM in Python excel library.
Follow the easy steps to convert CSV to XLTM. Upload your CSV file, then simply save it as XLTM file. For both CSV reading and XLTM writing you can use fully qualified filenames. The output XLTM content and formatting will be identical to the original CSV 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 CSV to XLTM via Python
Need to convert CSV files to XLTM programmatically? Python developers can easily load & convert CSV to XLTM 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 CSV file with an instance of Workbook.
- Convert CSV to XLTM by calling Workbook.save method.
- Get the conversion result of CSV to XLTM.
Python Excel Library to Convert CSV to XLTM
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.
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 MoreXLTM What is XLTM File Format?
The XLTM file extension represents files that are generated by Microsoft Excel as Macro-enabled template files. XLTM files are similar to XLTX in structure other than that the later does not support creating template files with macros. Such template files are used to generate and set the layout, formatting, and other settings along with the macros to facilitate creating similar XLSX files then.
Read MoreOther Supported Conversions
You can also convert CSV to many other file formats including few listed below.