Python Openpyxl Apply Filter and delete all visible rows

In this tutorial, we will explore how to use the Openpyxl library in Python to apply a filter to an Excel spreadsheet and delete all visible rows. This can be particularly useful when you want to filter and remove specific data from your Excel file programmatically. We will provide step-by-step instructions and code examples to demonstrate the process.
Before you begin, make sure you have the following prerequisites in place:
Python installed on your computer.
The Openpyxl library installed. You can install it using pip:
An Excel spreadsheet that you want to work with.
To start, import the necessary libraries, including Openpyxl for working with Excel files:
Use Openpyxl to open the Excel file you want to work with:
Choose the worksheet you want to filter and delete rows from:
Apply a filter to the desired column(s) in the worksheet:
Now, you'll identify and delete all visible rows:
In the code above, we iterate through the rows, check a specific column (in this case, the first column) for the filter condition, and delete rows that don't meet the condition. Replace "Value to Filter" with the criteria you want to use for filtering.
Finally, save the modified Excel file with the changes:
This step ensures that the changes you made to the worksheet are saved to a new Excel file. You can specify a different file name and path as needed.
Here's the complete Python script for applying a filter and deleting all visible rows in an Excel file:
In this tutorial, you have learned how to use the Python Openpyxl library to apply a filter to an Excel worksheet and delete all visible rows that do not meet the specified filter criteria. This process is useful for automating data filtering and cleanup tasks in Excel files, making it easier to work with large datasets.
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