Quick Check 5.2 – Data 100, Summer 2020

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Quick Check 5.2 – Data 100, Summer 2020

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You are given a Pandas DataFrame cereal with information about 80 different cereals. The figure below is the result of running cereal.head(). All values are per-serving. type can be either cold or hot. rating is the average score (out of 100) given by customers.

Suppose we want a Pandas Series with just the name column of cereal. Which of the following should we use? *

cereal['name']

cereal[['name']]

cereal[0]

cereal[0:3]

Suppose we want a Pandas Data Frame with just the name column of cereal. Which of the following should we use? *

cereal['name']

cereal[['name']]

cereal[0]

cereal[0:3]

Suppose we want a Pandas Data Frame with all columns of cereal but only the first 5 rows. Which of the following should we use? *

cereal[0:4]

cereal[0:5]

cereal[1:5]

cereal[1:6]

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