Finding the Largest Values of a Column
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 method 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')
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Can you explain what the 'keep' parameter does in this context?
What happens if there are ties in the 'Year' and 'Engine_volume' columns?
Can I use .nlargest() with just one column instead of two?
Awesome!
Completion rate improved to 3.03Finding the Largest Values of a Column
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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 method 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')
Grazie per i tuoi commenti!
