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import pandas as pd
# Assuming the DataFrame is called 'df' and the axis is 'axis_name'
# Drop duplicate labels from the axis
df = df.loc[:, ~df.columns.duplicated()]
# Alternatively, you can reset the index and drop duplicates
df = df.reset_index(drop=True).drop_duplicates(subset='column_name').set_index('column_name')
# Reindex the axis without duplicate labels
df.reindex(['label1', 'label2', 'label3'])