Resolving the ValueError: Copying Rows from Other Worksheets in Python with OpenPyXL

Learn how to effectively resolve the error "ValueError: Cells cannot be copied from other worksheets" when working with Excel files using OpenPyXL in Python.
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Resolving the ValueError: Copying Rows from Other Worksheets in Python with OpenPyXL

When working with Excel files in Python, specifically using the OpenPyXL library, users often encounter various challenges, one of which is the error: "ValueError: Cells cannot be copied from other worksheets." This can be perplexing, especially when you are trying to append rows from one sheet to another. In this guide, we will discuss the underlying cause of this error and how to effectively resolve it.

Understanding the Problem

In the given context, the user is trying to create a new worksheet in an existing Excel file and copy specific rows from another sheet based on the value of certain cells. However, an error occurs when the code attempts to append row objects directly, which is not allowed in OpenPyXL. The library does not permit copying of cell objects across different worksheets; instead, it requires the values of those cells.

Example of the Problematic Code

Here’s a brief look at the problematic part of the user’s code:

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

This code causes a ValueError because row is an object of cell tuples, not the actual data you wish to copy.

Solution Steps

To resolve this error, you need to extract the values from the row objects and append those values to the new worksheet. Here’s a breakdown of the steps to fix the code.

1. Extract Cell Values

Instead of appending the row object, you should convert each row to a list of cell values. This can be done using a simple list comprehension to iterate over each cell in the row.

2. Append the Extracted Values

After converting the row to a list of values, you can then append these values to the target worksheet.

Updated Code Example

Here’s the revised code that implements the above steps:

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

Explanation of the Changes

Appending Values: You then append row_with_values instead of row, successfully avoiding the ValueError.

Conditional Logic: The existing logic to start checking from the 11th row and to filter based on a limit remains intact.

Conclusion

With these adjustments to your code, you should be able to copy rows from one worksheet to another without encountering the "ValueError." This approach not only resolves the issue but also enhances the functionality of your script by ensuring that only the required data is processed and transferred.

We hope this guide helps you in your journey with Python and OpenPyXL. If you have further questions or run into any issues, feel free to reach out or leave a comment!