Sales totals
The dataset you'll be working with during this chapter is one year's sales data by month for three different industries. Each row in this monthly_sales
array represents a month from January to December. The first column has monthly sales data for liquor stores, the second column has data for restaurants, and the last column tracks sales for department stores.
array([[ 4134, 23925, 8657],
[ 4116, 23875, 9142],
[ 4673, 27197, 10645],
[ 4580, 25637, 10456],
[ 5109, 27995, 11299],
[ 5011, 27419, 10625],
[ 5245, 27305, 10630],
[ 5270, 27760, 11550],
[ 4680, 24988, 9762],
[ 4913, 25802, 10456],
[ 5312, 25405, 13401],
[ 6630, 27797, 18403]])
Your task is to create an array with all the information from monthly_sales
as well as a fourth column which totals the monthly sales across industries for each month.
numpy
is loaded for you as np
, and the monthly_sales
array is available.
This exercise is part of the course
Introduction to NumPy
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a 2D array of total monthly sales across industries
monthly_industry_sales = ____
print(monthly_industry_sales)