December 2017
Intermediate to advanced
386 pages
10h 42m
English
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.
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