Quick Check 5.4.1 – 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 Data Frame of the first 5 cereal names and manufacturers. Which of the following could we use? *

cereal.loc[0:4, ['name', 'manufacturer']]

cereal.loc[0:4, 'name':'manufacturer']

cereal.loc[0:5, ['name', 'manufacturer']]

cereal.loc[0:5, 'name':'manufacturer']

None of the Above

Required

Suppose we want a Pandas Series of cereal names that have less than or equal to 100 calories per serving. Which of the following could we use? *

cereal[cereal["calories"] <= 100]['name']

cereal.loc[ 'name', cereal["calories"] <= 100]

cereal.loc[cereal["calories"] <= 100, 'name']

cereal.loc[~(cereal["calories"] > 100), 'name']

None of the Above

Required

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