Correlation with np.correlate() in NumPy - Mini Project: Build & Apply

Correlation with np.correlate()

📖 Scenario: You are analyzing two simple signals from a sensor and want to find how similar they are by calculating their correlation.

🎯 Goal: Build a small program that creates two numeric lists, sets a mode for correlation, calculates the correlation using np.correlate(), and prints the result.

📋 What You'll Learn

Create two lists of numbers representing signals

Create a variable to hold the correlation mode

Use np.correlate() with the two lists and the mode

Print the correlation result

💡 Why This Matters

🌍 Real World

Correlation helps find how two signals or data sets relate, useful in sensor data analysis, audio processing, and pattern recognition.

💼 Career

Understanding correlation and using numpy functions is important for data scientists and engineers working with time series or signal data.

1

Create two numeric lists representing signals

Create two lists called signal1 and signal2 with these exact values: signal1 = [1, 2, 3, 4, 5] and signal2 = [5, 4, 3, 2, 1].

NumPy

# Your code here

Need a hint?

Use square brackets to create lists with the exact numbers given.

2

Set the correlation mode

Create a variable called mode and set it to the string 'full' to specify the correlation mode.

NumPy

signal1 = [1, 2, 3, 4, 5]
signal2 = [5, 4, 3, 2, 1]
# Your code here

Need a hint?

Assign the string 'full' to the variable mode.

3

Calculate the correlation using np.correlate()

Import numpy as np. Then create a variable called correlation and set it to the result of np.correlate(signal1, signal2, mode).

NumPy

signal1 = [1, 2, 3, 4, 5]
signal2 = [5, 4, 3, 2, 1]
mode = 'full'
# Your code here

Need a hint?

Use import numpy as np at the top. Then call np.correlate() with the two lists and the mode.

4

Print the correlation result

Write a print statement to display the variable correlation.

NumPy

import numpy as np

signal1 = [1, 2, 3, 4, 5]
signal2 = [5, 4, 3, 2, 1]
mode = 'full'

correlation = np.correlate(signal1, signal2, mode)
# Your code here

Need a hint?

Use print(correlation) to show the result.