np.argmin() and np.argmax() in NumPy - Mini Project: Build & Apply

Finding Minimum and Maximum Indices with np.argmin() and np.argmax()

📖 Scenario: Imagine you have a list of daily temperatures for a week. You want to find which day was the coldest and which day was the hottest.

🎯 Goal: You will create a NumPy array of temperatures, set a threshold temperature, find the indices of the coldest and hottest days using np.argmin() and np.argmax(), and then print those indices.

📋 What You'll Learn

Create a NumPy array called temperatures with exact values: [22, 19, 25, 21, 20, 23, 18]

Create a variable called threshold and set it to 20

Use np.argmin(temperatures) to find the index of the coldest day and store it in coldest_day

Use np.argmax(temperatures) to find the index of the hottest day and store it in hottest_day

Print the values of coldest_day and hottest_day

💡 Why This Matters

🌍 Real World

Finding minimum and maximum values and their positions is common in weather data analysis, stock prices, and many other fields.

💼 Career

Data scientists often need to quickly identify key points in data sets, such as the lowest or highest values, to make decisions or create reports.

1

Create the temperatures array

Import NumPy as np and create a NumPy array called temperatures with these exact values: [22, 19, 25, 21, 20, 23, 18]

NumPy

# Import numpy and create the temperatures array
# Your code here

Need a hint?

Use import numpy as np to import NumPy. Then use np.array([...]) to create the array.

2

Set the threshold temperature

Create a variable called threshold and set it to the integer 20

NumPy

import numpy as np

temperatures = np.array([22, 19, 25, 21, 20, 23, 18])

# Set the threshold temperature
# Your code here

Need a hint?

Just assign the number 20 to a variable named threshold.

3

Find indices of coldest and hottest days

Use np.argmin(temperatures) to find the index of the coldest day and store it in coldest_day. Use np.argmax(temperatures) to find the index of the hottest day and store it in hottest_day

NumPy

import numpy as np

temperatures = np.array([22, 19, 25, 21, 20, 23, 18])

threshold = 20

# Find the index of the coldest day
# Find the index of the hottest day
# Your code here

Need a hint?

Use np.argmin() and np.argmax() functions on the temperatures array.

4

Print the results

Print the values of coldest_day and hottest_day on separate lines

NumPy

import numpy as np

temperatures = np.array([22, 19, 25, 21, 20, 23, 18])

threshold = 20

coldest_day = np.argmin(temperatures)
hottest_day = np.argmax(temperatures)

# Print coldest_day and hottest_day
# Your code here

Need a hint?

Use two print() statements, one for each variable.