Boolean type in NumPy - Mini Project: Build & Apply

Boolean Type with NumPy Arrays

📖 Scenario: You are working with a small dataset of temperatures recorded over a week. You want to find out which days were warmer than 20 degrees Celsius.

🎯 Goal: Create a NumPy array of temperatures, set a threshold temperature, create a Boolean array showing which days are warmer than the threshold, and print the Boolean array.

📋 What You'll Learn

Create a NumPy array called temperatures with the exact values: 18, 22, 19, 24, 20, 21, 17

Create a variable called threshold and set it to 20

Create a Boolean NumPy array called warm_days that is True where temperatures is greater than threshold

Print the warm_days array

💡 Why This Matters

🌍 Real World

Checking temperature data to find days warmer than a certain value is common in weather analysis and climate studies.

💼 Career

Data scientists often use Boolean arrays to filter data quickly and make decisions based on conditions.

1

Create the temperatures array

Create a NumPy array called temperatures with these exact values: 18, 22, 19, 24, 20, 21, 17

NumPy

import numpy as np
# Create the temperatures array with the given values
# Your code here

Need a hint?

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

2

Set the threshold temperature

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

NumPy

import numpy as np

temperatures = np.array([18, 22, 19, 24, 20, 21, 17])
# Create the threshold variable and set it to 20
# Your code here

Need a hint?

Just assign the number 20 to the variable threshold.

3

Create the Boolean array for warm days

Create a Boolean NumPy array called warm_days that is True where temperatures is greater than threshold using the expression temperatures > threshold

NumPy

import numpy as np

temperatures = np.array([18, 22, 19, 24, 20, 21, 17])

threshold = 20
# Create the warm_days Boolean array using temperatures > threshold
# Your code here

Need a hint?

Use the comparison operator > between temperatures and threshold to get a Boolean array.

4

Print the Boolean array

Print the warm_days array using print(warm_days)

NumPy

import numpy as np

temperatures = np.array([18, 22, 19, 24, 20, 21, 17])

threshold = 20

warm_days = temperatures > threshold
# Print the warm_days array
# Your code here

Need a hint?

Use print(warm_days) to display the Boolean array.