Solving the Pesky AttributeError: xlColumnClustered in Python

Have you ever encountered the frustrating AttributeError: xlColumnClustered while working with Excel files in Python? You’re not alone! This error can be a real showstopper, but fear not, dear reader, for we’re about to dive into the depths of this issue and emerge victorious on the other side.

What is AttributeError: xlColumnClustered?

Before we dive into the solution, let’s take a step back and understand what’s causing the error in the first place. The AttributeError: xlColumnClustered typically occurs when Python’s openpyxl library, used for reading and writing Excel files, encounters an issue with the xlColumnClustered attribute.

This attribute is responsible for styling Excel columns, but when it’s not properly defined or is missing, Python throws an AttributeError. It’s a bit like trying to access a key in a dictionary that doesn’t exist – Python gets confused and raises an error.

The Common Culprits

So, what are the common scenarios that lead to this error? Let’s take a look:

• Outdated openpyxl version: Make sure you’re running the latest version of openpyxl. Older versions might not have the xlColumnClustered attribute, leading to the error.

• Missing or corrupted Excel file: If the Excel file is damaged or missing, openpyxl won’t be able to read it correctly, resulting in the AttributeError.

• Incorrect file type: Trying to read a file that’s not an Excel file (e.g., a CSV or PDF) will also trigger the error.

• Code issues: Sometimes, the error can be caused by a simple mistake in your Python code, such as referencing a non-existent worksheet or column.

Step-by-Step Solution

Now that we’ve identified the potential causes, let’s walk through a step-by-step solution to resolve the AttributeError: xlColumnClustered:

1. Update openpyxl: Run the following command in your terminal or command prompt to ensure you have the latest version of openpyxl:

   pip install --upgrade openpyxl

2. Verify the Excel file: Double-check that the Excel file is present, not corrupted, and has the correct file extension (.xlsx, .xlsm, or .xls).

3. Check your code: Review your Python code to ensure you’re correctly referencing worksheets, columns, and cells. Look for any typos or incorrect variable names.

4. Use the correct file type: Make sure you’re working with an Excel file (not a CSV or PDF) and that it’s not password-protected or encrypted.

5. Try a minimal example: Create a simple Python script that only reads the Excel file to isolate the issue. This will help you determine if the problem lies with your code or the file itself.

   
   import openpyxl
   wb = openpyxl.load_workbook('example.xlsx')
   print(wb.sheetnames)
       

from openpyxl.chart import Chart, Reference, Series

chart = Chart()
chart.type = 'column'
chart.style = 10  # Clustered column chart

data = Reference(worksheet, min_col=1, min_row=1, max_col=2, max_row=5)
chart.append(data)

series = Series(chart, title='Clustered Column Chart')
series.xl_column_clustered = True  # Set xlColumnClustered to True
chart.append(series)

worksheet.add_chart(chart, 'A1')