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>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11
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#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)
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#working with "text" syntax for the columns:
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)
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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)