fix: remove redundant axis argument from pandas drop() call

[MrCosta57]

Summary

This PR fixes a compatibility issue with pandas 3.0 where calling DataFrame.drop() with both the axis parameter and the index or columns parameter raises a ValueError.

Motivation

In pandas versions prior to 3.0, specifying both axis and index or columns in drop() was allowed, although redundant. Starting with pandas 3.0, this usage is no longer permitted and raises the following error:

ValueError: Cannot specify both 'axis' and 'index'/'columns'

This caused failures in the encoding and analysis pipeline when running with newer pandas versions.

Changes Made

• Removed the redundant axis argument from DataFrame.drop() calls where columns or index is already specified.
• Updated the implementation to follow the pandas 3.0 API requirements.
• Ensured behavior remains identical to previous versions.

Before

df.drop(columns=cols, axis=1)

After

df.drop(columns=cols)

Backward Compatibility

This change is fully backward compatible:

• Works with pandas 3.0 and newer
• Maintains identical behavior with older pandas versions
• No API changes for users

Impact

This fix ensures compatibility with pandas 3.0+ and prevents runtime failures during data processing.

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