In the last chapter, you learned how to output the smallest values; you can definitely do the same with the largest ones. To do so, you will use a very similar function with the same argument as the previous one: .nlargest(). Look at the example of how to output the 10 newest cars, also sorted by 'Engine_volume' - all duplicates included:

data.nlargest(10, ['Year', 'Engine_volume'], keep = 'all')

Choose the CORRECT way to get the top 100 the most expensive cars sorted, firstly by 'Price' and then by 'Year', not including duplicates - just the first 100 values.

Select the correct answer

data.nlargest(10, ['Price', 'Year'], keep = 'all')

data.nlargest(100, ['Price', 'Year'])

data.nlargest[100, ['Price', 'Year']]

data.nsmallest(100, ['Price', 'Year'])

data.nlargest(['Price', 'Year'], 100)

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