NumPy array foundation review in SciPy - Mini Project: Build & Apply

NumPy array foundation review

📖 Scenario: You are working with temperature data collected from sensors in a greenhouse. The data is stored as a list of daily temperature readings. You want to use NumPy arrays to handle this data efficiently.

🎯 Goal: Build a simple program that creates a NumPy array from a list of temperatures, sets a threshold temperature, filters the array to find days warmer than the threshold, and prints those warmer temperatures.

📋 What You'll Learn

Create a NumPy array with exact temperature values

Create a threshold variable with a specific value

Use NumPy array filtering to select temperatures above the threshold

Print the filtered warmer temperatures

💡 Why This Matters

🌍 Real World

Scientists and engineers often use NumPy arrays to efficiently handle and analyze sensor data like temperatures.

💼 Career

Data analysts and data scientists use array filtering to quickly find important data points and make decisions based on thresholds.

1

Create a NumPy array of temperatures

Import the numpy library as np. Then create a NumPy array called temps with these exact temperature values: 22.5, 25.0, 19.8, 23.1, 26.7, 21.0.

SciPy

import numpy as np
# Create a NumPy array called temps with the given temperature values
# Your code here

Need a hint?

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

2

Set a temperature threshold

Create a variable called threshold and set it to the value 23.0.

SciPy

import numpy as np

temps = np.array([22.5, 25.0, 19.8, 23.1, 26.7, 21.0])
# Create a variable called threshold and set it to 23.0
# Your code here

Need a hint?

Just assign the number 23.0 to the variable threshold.

3

Filter temperatures above the threshold

Create a new NumPy array called warm_days that contains only the temperatures from temps that are greater than threshold. Use NumPy array filtering.

SciPy

import numpy as np

temps = np.array([22.5, 25.0, 19.8, 23.1, 26.7, 21.0])

threshold = 23.0
# Create warm_days array with temps greater than threshold
# Your code here

Need a hint?

Use the condition temps > threshold inside square brackets to filter.

4

Print the warmer temperatures

Print the warm_days array to display the temperatures warmer than the threshold.

SciPy

import numpy as np

temps = np.array([22.5, 25.0, 19.8, 23.1, 26.7, 21.0])

threshold = 23.0

warm_days = temps[temps > threshold]
# Print the warm_days array
# Your code here

Need a hint?

Use print(warm_days) to show the filtered temperatures.