Merge CSV to XLSM via Python Excel Library
High-speed Python excel library for merging CSV to XLSM. 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 XLSM Using Python Excel Library
How do I merge CSV to XLSM? With Aspose.Cells for Python via .NET library, you can easily merge CSV to XLSM 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 CSV to XLSM in Python Excel Library
The following example demonstrates how to merge CSV to XLSM in Aspose.Cells for Python via .NET.
Follow the easy steps to merge CSV to XLSM. Upload your files, call Workbook.Combine method for merging files, and then save it to XLSM file. If you develop code in Python, this will be simpler than it sounds. See Python example that merges CSV to XLSM.
import aspose.cells
from aspose.cells import Workbook
workbook = Workbook("Input.xlsx")
workbook.combine(Workbook("Combine.xlsx"))
workbook.save("Output.pdf")
How to Merge CSV to XLSM via Python Excel Library
Need to merge CSV to XLSM 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 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 XLSM
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.
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 MoreXLSM What is XLSM File Format?
Files with XLSM extension is a type of Spreadsheet files that support Macros. From application point of view, a Macro is set of instructions that are used for automating processes. A macro is used to record the steps that are performed repeatedly and facilitates performing the actions by running the macro again. Macros are programmed with Microsoft’s Visual Basic for Applications (VBA) from within the Excel Workbook using the Visual Basic Editor and can be run/debug directly from there.
Read MoreOther Supported Merging Formats
Using Python excel library, One can also merge csv to many other file formats including.