Скачать или смотреть How to Write to MS Word Using a sample.docx Template in Python

This guide explains how to write data to an MS Word document using the Python library DocxTemplate. Get step-by-step guidance on creating .docx files from sample data easily!
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How to Write to MS Word Using a sample.docx Template in Python

If you're looking for a way to automate document generation in Microsoft Word using Python, you’ve come to the right place! In this post, we’ll walk you through an example of using a templated Word document (sample.docx) to generate reports or documents filled with dynamic data. This technique is especially useful for creating repetitive documents with varying content based on a provided dataset.

Problem Overview

Imagine you have a sample.docx file with placeholder variables, like so:

[[See Video to Reveal this Text or Code Snippet]]

And you have a dataset that includes multiple entries, where each entry has an id, name, and password. The challenge is to fill in the placeholders with actual data from your dataset using Python effectively. Let’s take a closer look at how you can accomplish this using the DocxTemplate library.

Step-by-Step Solution

Setting Up the Environment

Before you dive into coding, ensure you have the docxtpl library installed. You can do this using pip:

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Example Data

Let’s use a sample dataset:

[[See Video to Reveal this Text or Code Snippet]]

Writing the Code

To fill the Word document with data, follow these steps in your Python script:

Import the library:

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Set Up Context and Iterate Through Data:
In the following code, we create the context for the placeholders and fill in data dynamically:

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How the Code Works

Iterating in Batches: The code iterates through the dataset in steps of 3, creating a new Word document for each batch.

Creating Context: It generates a context dictionary containing the placeholders replaced with actual data.

Rendering Document: Each batch of data renders a new document named {i}_output.docx.

Running the Script

Run your script, and you should see multiple output files generated based on your dataset, with placeholders replaced by actual values.

Resulting Output

0_output.docx might contain:

[[See Video to Reveal this Text or Code Snippet]]

Similarly, subsequent files will reflect the receiving data in the same format.

Conclusion

Using the docxtpl library makes it easy to automate the creation of MS Word documents with dynamic data. This method not only saves time but also reduces the chance of errors when preparing documents, especially when dealing with large data sets. With just a few lines of Python code, you can generate well-structured documents tailored to your needs.

Now that you understand the process, go ahead and try it out with your own datasets. Happy coding!