np.clip() for bounding values in NumPy - Mini Project: Build & Apply

Using np.clip() to Bound Values in Data

📖 Scenario: Imagine you have a list of daily temperatures recorded in Celsius. Some values are too low or too high due to sensor errors. You want to keep all temperatures within a safe range for analysis.

🎯 Goal: You will learn how to use np.clip() to limit temperature values within a minimum and maximum range.

📋 What You'll Learn

Create a numpy array with given temperature values

Define minimum and maximum temperature limits

Use np.clip() to bound the temperature values within the limits

Print the clipped temperature array

💡 Why This Matters

🌍 Real World

Bounding values is common in sensor data cleaning, image processing, and financial data to avoid extreme outliers.

💼 Career

Data scientists often need to clean and preprocess data by limiting values to valid ranges before analysis or modeling.

1

Create the temperature data array

Create a numpy array called temperatures with these exact values: [-5, 12, 25, 40, 55, 18, 0]

NumPy

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

Need a hint?

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

2

Set the minimum and maximum temperature limits

Create two variables: min_temp set to 0 and max_temp set to 40

NumPy

import numpy as np

temperatures = np.array([-5, 12, 25, 40, 55, 18, 0])
# Set min_temp to 0 and max_temp to 40
# Your code here

Need a hint?

Just assign the numbers 0 and 40 to variables named min_temp and max_temp.

3

Use np.clip() to bound the temperature values

Create a new numpy array called clipped_temps by applying np.clip() on temperatures using min_temp and max_temp as the bounds

NumPy

import numpy as np

temperatures = np.array([-5, 12, 25, 40, 55, 18, 0])

min_temp = 0
max_temp = 40
# Use np.clip() to create clipped_temps
# Your code here

Need a hint?

Use np.clip(array, min_value, max_value) to limit values.

4

Print the clipped temperature array

Print the variable clipped_temps to show the bounded temperature values

NumPy

import numpy as np

temperatures = np.array([-5, 12, 25, 40, 55, 18, 0])

min_temp = 0
max_temp = 40

clipped_temps = np.clip(temperatures, min_temp, max_temp)
# Print clipped_temps
# Your code here

Need a hint?

Use print(clipped_temps) to display the result.