Understanding ufunc methods (reduce, accumulate) in NumPy - Hands-On Activity

Understanding ufunc methods (reduce, accumulate)

📖 Scenario: You work in a small bakery that tracks daily sales of different types of bread. You want to analyze the sales data to understand total sales and how sales accumulate over days.

🎯 Goal: Build a small program using NumPy to calculate the total sales using reduce and the running total using accumulate from the numpy universal functions (ufuncs).

📋 What You'll Learn

Create a NumPy array with daily sales numbers

Create a variable to hold the addition ufunc from numpy

Use the reduce method of the addition ufunc to find total sales

Use the accumulate method of the addition ufunc to find running totals

Print the total sales and running totals

💡 Why This Matters

🌍 Real World

Businesses often track daily or periodic data like sales, website visits, or sensor readings. Using ufunc methods like reduce and accumulate helps quickly summarize and analyze this data.

💼 Career

Data analysts and scientists use NumPy ufuncs to efficiently process large datasets and perform calculations like totals and running sums, which are common in reports and dashboards.

1

Create the daily sales data array

Create a NumPy array called daily_sales with these exact values: [10, 15, 7, 20, 13].

NumPy

import numpy as np
# Create the daily_sales array with values [10, 15, 7, 20, 13]
# Your code here

Need a hint?

Use np.array([...]) to create the array with the exact values.

2

Create the addition ufunc variable

Create a variable called add_ufunc and set it to the addition ufunc from NumPy using np.add.

NumPy

import numpy as np
daily_sales = np.array([10, 15, 7, 20, 13])
# Create add_ufunc variable set to np.add
# Your code here

Need a hint?

Use np.add to get the addition ufunc and assign it to add_ufunc.

3

Calculate total sales and running totals

Use the reduce method of add_ufunc on daily_sales to create a variable total_sales. Then use the accumulate method of add_ufunc on daily_sales to create a variable running_totals.

NumPy

import numpy as np
daily_sales = np.array([10, 15, 7, 20, 13])
add_ufunc = np.add
# Use add_ufunc.reduce on daily_sales to get total_sales
# Use add_ufunc.accumulate on daily_sales to get running_totals
# Your code here

Need a hint?

Use add_ufunc.reduce(daily_sales) for total and add_ufunc.accumulate(daily_sales) for running totals.

4

Print the total sales and running totals

Print the total_sales variable. Then print the running_totals variable.

NumPy

import numpy as np
daily_sales = np.array([10, 15, 7, 20, 13])
add_ufunc = np.add
total_sales = add_ufunc.reduce(daily_sales)
running_totals = add_ufunc.accumulate(daily_sales)
# Print total_sales
# Print running_totals
# Your code here

Need a hint?

Use print(total_sales) and print(running_totals) to show the results.