Is there a more conventional or readable way of achieving the same result?
The below code works, but it feels clunky.
df[df.columns[~df.columns.isin(['name'])]]
Use DataFrame.loc, here : means select all rows:
df.loc[:, ~df.columns.isin(['name'])]
Another idea is use DataFrame.drop with errors='ignore' for avoid errors if not exist name column (same working like solution above):
df.drop('name', axis=1, errors='ignore')
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