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df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Index
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# axis=1 tells Python that we want to apply function on columns instead of rows
# To delete the column permanently from original dataframe df, we can use the option inplace=True
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
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# Remove the unwanted columns
data.drop(['Country code', 'Continental region'], axis=1, inplace=True)
data.head()