Enter the following commands in a code cell:

df1 = pd.DataFrame([['Pen', 24, 2.39],
                    ['Eraser', 32, 1.29],
                    ['Sharpener', 12, 10.39],
                    ['Pencil', 42, 0.59 ]],
                   index=[100024, 201024, 202034, 101122],
                   columns = ['item', 'inventory', 'unit_price'])
df2 = pd.DataFrame({'item': ('Pen', 'Eraser', 'Sharpener', 'Pencil'),
                    'inventory': (24, 32, 12, 42),
                    'unit_price': (2.39, 1.29, 10.39, 0.59)},
                   index=[100024, 201024, 202034, 101122])

This code shows how to generate two DataFrame objects containing essentially the same data, that could represent the inventory of an office supplies store.