Broadcasting across rows
In the last set of exercises, you used monthly_industry_multipliers, to create sales predictions. Recall that monthly_industry_multipliers looks like this:
array([[0.98, 1.02, 1. ],
[1.00, 1.01, 0.97],
[1.06, 1.03, 0.98],
[1.08, 1.01, 0.98],
[1.08, 0.98, 0.98],
[1.1 , 0.99, 0.99],
[1.12, 1.01, 1. ],
[1.1 , 1.02, 1. ],
[1.11, 1.01, 1.01],
[1.08, 0.99, 0.97],
[1.09, 1. , 1.02],
[1.13, 1.03, 1.02]])
Assume you're not comfortable being so specific with your estimates. Rather, you'd like to use monthly_industry_multipliers to find a single average multiplier for each industry. Then you'll use that multiplier to project next year's sales.
numpy is loaded for you as np, and the monthly_sales and monthly_industry_multipliers arrays are available. The monthly_sales columns in order refer to liquor store, restaurant, and department store sales.
Latihan ini adalah bagian dari kursus
Introduction to NumPy
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# Find the mean sales projection multiplier for each industry
mean_multipliers = ____
print(mean_multipliers)