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This is python I need help with ONLY 5 and 6. I already have question 1 completed. This is the code for #1 1. import
This is python
I need help with ONLY 5 and 6.
I already have question 1 completed. This is the code for #1
1. import numpy as np
raw_data = np.loadtxt("cereal.csv", delimiter=",", skiprows=1, dtype=str)
print(raw_data[0:5, :])
1. Load cereal.csv as a Numpy Array and display its first 5 rows. 5. Add a new column "Sugar per ounce". Its value equals "sugars" divided by "weight". 6. Which product has the highest amount of sugar per ounce
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