np.round(), np.floor(), np.ceil() in NumPy - Mini Project: Build & Apply

Using np.round(), np.floor(), and np.ceil() with NumPy Arrays

📖 Scenario: Imagine you work at a weather station. You have temperature readings with decimals, but you need to prepare reports with rounded, floored, and ceiled values for different uses.

🎯 Goal: You will create a NumPy array of temperature readings, then use np.round(), np.floor(), and np.ceil() to transform these readings for reporting.

📋 What You'll Learn

Create a NumPy array called temps with exact values: 23.7, 18.2, 30.9, 15.5, 21.3

Create a variable called decimals and set it to 0

Use np.round() with temps and decimals to create rounded_temps

Use np.floor() with temps to create floored_temps

Use np.ceil() with temps to create ceiled_temps

Print rounded_temps, floored_temps, and ceiled_temps each on a separate line

💡 Why This Matters

🌍 Real World

Weather stations and many scientific fields often need to round measurements for reports or analysis. Knowing how to round numbers up, down, or to the nearest value helps prepare data correctly.

💼 Career

Data scientists and analysts frequently clean and prepare data using rounding functions to simplify numbers or meet reporting standards.

1

Create the temperature array

Import NumPy as np and create a NumPy array called temps with these exact values: 23.7, 18.2, 30.9, 15.5, 21.3

NumPy

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

Need a hint?

Use np.array() to create the array with the exact numbers inside square brackets.

2

Set the decimals variable

Create a variable called decimals and set it to 0 to specify rounding to whole numbers

NumPy

import numpy as np
temps = np.array([23.7, 18.2, 30.9, 15.5, 21.3])
# Create the decimals variable and set it to 0
# Your code here

Need a hint?

Just assign 0 to the variable decimals.

3

Apply rounding, flooring, and ceiling

Use np.round() with temps and decimals to create rounded_temps. Use np.floor() with temps to create floored_temps. Use np.ceil() with temps to create ceiled_temps

NumPy

import numpy as np
temps = np.array([23.7, 18.2, 30.9, 15.5, 21.3])
decimals = 0
# Create rounded_temps using np.round with temps and decimals
# Create floored_temps using np.floor with temps
# Create ceiled_temps using np.ceil with temps
# Your code here

Need a hint?

Use the three NumPy functions exactly as shown with the correct variables.

4

Print the results

Print rounded_temps, floored_temps, and ceiled_temps each on its own line

NumPy

import numpy as np
temps = np.array([23.7, 18.2, 30.9, 15.5, 21.3])
decimals = 0
rounded_temps = np.round(temps, decimals)
floored_temps = np.floor(temps)
ceiled_temps = np.ceil(temps)
# Print rounded_temps
# Print floored_temps
# Print ceiled_temps
# Your code here

Need a hint?

Use three print() statements, one for each array.