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Aspose.Cells  for Python
XLSM

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.

Merge CSV to XLSM Using Python Excel Library

How do I merge CSV to XLSM? With Aspose.Cells for Python via Java library, you can easily merge CSV to XLSM 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 XLSM in Python Excel Library

The following example demonstrates how to merge CSV to XLSM in Aspose.Cells for Python via Java.

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.

Sample Code to Merge CSV to XLSM in Python Excel Library
Select two files
Output format
   
                                   
                
	
  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 XLSM via Python Excel Library

Need to merge CSV to XLSM 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 XLSM

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:

  1. Install Aspose.Cells for Python via Java in Windows. See Documentation
  2. Install Aspose.Cells for Python via Java in Linux. See Documentation
  3. 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.

  • Install Java 1.8 or higher and add it to PATH environment variable, for example: PATH=C:\Program Files\Java\jdk1.8.0_131;.
  • Install Python 3.5 or higher.
  • 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.

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XLSM 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.

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Other Supported Merging Formats

Using Python excel library, One can also merge csv to many other file formats including.

Merge CSV to DOCX (Microsoft Word document)
Merge CSV to SQL (Structured Query Language)
Merge CSV to BMP (Bitmap Image)
Merge CSV to EMF (Enhanced Metafile Format)
Merge CSV to GIF (Graphical Interchange Format)
Merge CSV to HTML (Hyper Text Markup Language)
Merge CSV to MD (Markdown Language)
Merge CSV to MHTML (Web Page Archive Format)
Merge CSV to ODS (OpenDocument Spreadsheet File)
Merge CSV to PDF (Portable Document Format)
Merge CSV to PNG (Portable Network Graphics)
Merge CSV to SVG (Scalable Vector Graphics)
Merge CSV to TIFF (Tagged Image Format)
Merge CSV to TSV (Tab-Separated Values)
Merge CSV to TXT (Text Document)
Merge CSV to XLS (Excel Binary Format)
Merge CSV to XLSB (Binary Excel Workbook File)
Merge CSV to XLSM (Spreadsheet File)
Merge CSV to XLSX (OOXML Excel File)
Merge CSV to XLT (Microsoft Excel Template)
Merge CSV to XLTM (Excel Macro-enabled Template)
Merge CSV to XLTX (Office OpenXML Excel Template)
Merge CSV to XML (Extensible Markup Language)
Merge CSV to XPS (XML Paper Specifications)
Merge CSV to JSON (JavaScript Object Notation)
Merge CSV to JPEG (JPEG Image)