How to Export Pandas Dataframe to XLSM with Macros?

Exporting a pandas dataframe to XLSM with macros may seem like a daunting task, but it is actually quite simple. If you are unfamiliar with macros, they are a set of instructions that automate repetitive tasks in Microsoft Excel. In this article, we will guide you through the entire process of exporting a pandas dataframe to XLSM with macros.

Firstly, by exporting pandas data to XLSM, you can allow your end-users to work on the data while preserving the functionalities of the macros. Secondly, if you’re familiar with creating macros in Excel, you can add custom macros to the exported file to make things quicker and simpler for end-users.

To export a pandas dataframe to XLSM with macros, all you need is pandas, openpyxl, and pywin32 Python packages installed. Once installed, follow the step-by-step instructions provided in this article, and you’ll have an XLSM file exported in no time.

So if you want to learn how to make the most out of your datasets with macros, continue reading this article and discover how to export pandas dataframe to XLSM with macros. This article will provide a comprehensive guide that walks you through the entire process from start to finish, so you don’t need to be an Excel wizard to execute this task successfully. Let’s dive in and get started!

“Write Pandas Dataframe To Xlsm File (Excel With Macros Enabled)” ~ bbaz

Introduction

Pandas is a widely used open-source data analysis library. It provides functionalities for manipulating and analyzing large datasets. Exporting data to different formats is a crucial aspect of data analysis. In this article, we will discuss how to export Pandas DataFrame to XLSM with Macros. We will compare two approaches – using the XlsxWriter library and using the openpyxl library. Both libraries come with their own advantages and disadvantages.

Background

XLSM is an Excel Open XML Macro-enabled Workbook. This format allows users to use macros in an Excel workbook. A macro is a set of instructions that can automate repetitive tasks. When exporting data to XLSM format, it is often necessary to preserve macros in the workbook. Pandas does not provide a direct way to export data to XLSM format. Therefore, we need to use third-party libraries to accomplish this task.

XlsxWriter Approach

XlsxWriter is a Python module that allows writing data, charts, and formatting in Excel files. It provides a convenient way to write data to Excel files, including XLSM format. To use XlsxWriter, we first need to install it using pip:

pip install XlsxWriter

Code Example

The following code shows how to export a Pandas DataFrame to XLSM format using XlsxWriter:

# import pandas and xlsxwriter modulesimport pandas as pdimport xlsxwriter# create a sample dataframedata = {'Name': ['John', 'Amy', 'Robert', 'Linda'],        'Age': [32, 28, 45, 36]}df = pd.DataFrame(data)# create a writer objectwriter = pd.ExcelWriter('data.xlsm', engine='xlsxwriter')# write the data to the workbookdf.to_excel(writer, sheet_name='Sheet1', index=False)# add the macro code to the workbookworkbook = writer.bookworksheet = writer.sheets['Sheet1']worksheet.add_vba_project('./macro.vba')# save the workbookwriter.save()

Table Comparison

XlsxWriter Approach	Pros	Cons
Simple to use	Supports writing macros	Not compatible with openpyxl
Small file size	Provides formatting and charting options	Requires additional steps to add macros

Openpyxl Approach

Openpyxl is another Python module that allows reading and writing Excel files. It supports XLSX, XLSM, XLSB, XLTM, and XLTX formats. Openpyxl provides more functionality than XlsxWriter, including support for reading and modifying existing Excel files. To use Openpyxl, we first need to install it using pip:

pip install openpyxl

Code Example

The following code shows how to export a Pandas DataFrame to XLSM format using Openpyxl:

# import pandas and openpyxl modulesimport pandas as pdfrom openpyxl import Workbookfrom openpyxl.workbook.defined_name import DefinedName# create a sample dataframedata = {'Name': ['John', 'Amy', 'Robert', 'Linda'],        'Age': [32, 28, 45, 36]}df = pd.DataFrame(data)# create a workbook objectwb = Workbook()# get the active worksheetws = wb.active# write the data to the worksheetfor r in dataframe_to_rows(df, index=False, header=True):    ws.append(r)# add the macro code to the workbookvba = open('./macro.vba').read()wb.vbaProject = vba# save the workbookwb.save('data.xlsm')

Table Comparison

Openpyxl Approach	Pros	Cons
Comprehensive functionality	Supports reading and modifying existing Excel files	Can result in larger file sizes
Easy to add macros	Compatible with XlsxWriter	Requires more code than XlsxWriter

Conclusion

In this article, we discussed two ways to export Pandas DataFrame to XLSM format with macros. Both approaches have their own strengths and weaknesses. If you prefer a simple solution that provides formatting and charting options, XlsxWriter may be the better approach. On the other hand, if you need a more comprehensive solution with more functionality, Openpyxl may be the better choice. Ultimately, the choice between these two approaches depends on your specific use case and requirements.

Greetings dear reader,

Thank you for taking the time to read our article on How to Export Pandas Dataframe to XLSM with Macros. We hope that you found our explanations and instructions comprehensive and helpful.

Now that you have learned how to export your data from a Pandas dataframe to an Excel file with macros, you can easily automate various tasks, improve your workflow and increase efficiency. With this knowledge, you can spend more time analyzing the results and less time getting bogged down in the data preparation stage.

We hope that you enjoyed reading our article and that it helped you to achieve your goals. If you have any further questions or feedback, please do not hesitate to contact us. We are always happy to hear from our readers and eager to help in any way we can.

Thank you for being a part of our community, and we look forward to sharing more informative articles with you soon.

Best regards,

The Editorial Team

People also ask about how to export pandas dataframe to XLSM with macros. Here are some common questions and answers:

1. What is an XLSM file?

An XLSM file is a Microsoft Excel file that contains macros written in Visual Basic for Applications (VBA). Macros are scripts that automate repetitive tasks in Excel.

2. How do I export a pandas dataframe to an XLSM file?

You can use the pandas ExcelWriter class to export a dataframe to an XLSM file. Here’s an example:

• Step 1: Import the pandas module and create a dataframe
• Step 2: Create an instance of the ExcelWriter class and specify the file path
• Step 3: Write the dataframe to the Excel file using the to_excel() method and include the argument ‘engine=’openpyxl” to enable support for macros
• Step 4: Save and close the Excel file

How do I add macros to an XLSM file?

To add macros to an XLSM file, you’ll need to use the Visual Basic Editor in Excel. Here’s how:

• Step 1: Open your XLSM file in Excel
• Step 2: Press ALT + F11 to open the Visual Basic Editor
• Step 3: Write your macro code in a new module
• Step 4: Save the macro-enabled workbook

How do I run macros in an XLSM file?

To run macros in an XLSM file, you can use the Macros dialog box in Excel. Here’s how:

• Step 1: Open your XLSM file in Excel
• Step 2: Click the ‘View’ tab on the ribbon and then click the ‘Macros’ button
• Step 3: Select the macro you want to run and click the ‘Run’ button
• Step 4: Follow any prompts or dialog boxes that appear