How to Properly Loop Through Rows with openpyxl in Python

Struggling with `openpyxl` in Python? Learn how to loop through multiple rows effectively to compare data across worksheets. Discover the right approach to improve your Excel data manipulation!
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Solving the openpyxl Iteration Issue: Looping Through Rows Without Limits

If you've ever worked with data in Excel using Python's openpyxl library, you may have run into a frustrating issue: your code only processes the first cell in a row iteration. In this guide, we will address this specific problem and provide you with a clear, step-by-step solution.

The Problem at Hand

You have two separate worksheets, and you want to compare data across three specific columns. Your goal is to copy information from one sheet to another when certain criteria are met. However, your current code only runs for the first cell in your A_Rows and fails to iterate through remaining rows.

Here is a brief excerpt of your function that highlights the concern:

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

The key point to note here is that B_Rows is initialized only once, leading to the inner loop executing only against the first iteration of A_Rows. Let's look at how to fix this.

A Step-by-Step Solution

To ensure that all rows in B_Rows are evaluated against each row in A_Rows, you should move the initialization of B_Rows inside the loop that processes A_Rows. Here’s how you can do that:

Revised Code

Here is the updated version of your code that resolves the problem:

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

Explanation of the Fix

Initialization of B_Rows: By moving B_Rows into the inner loop, you ensure it re-initiates with every new row of A_Rows. This way, each comparison runs against all the specified rows in B_List.

Data Comparison: The logic for comparing the name and date of birth remains unchanged, making sure that if any match is found, the relevant cell data is copied over.

Execution Flow: Now, for each row in A_Rows, the inner loop goes through all rows in B_List, effectively allowing comprehensive comparisons.

Conclusion

By understanding and correcting the iteration logic in your openpyxl code, you enhance your ability to manipulate Excel data effectively. This allows you not only to solve the current issue but also gain confidence in tackling similar challenges in the future.

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