delete column in dataframe pandas

1df.drop(['column_1', 'Column_2'], axis = 1, inplace = True) 

1#working with "text" syntax for the columns:
2df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)

1del df['column_name']

1df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index 
2df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)

1df.drop('col_name',1) #1 drop column / 0 drop row

1df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index 
2