np.vectorize() for custom functions in NumPy - Mini Project: Build & Apply

Using np.vectorize() for Custom Functions

📖 Scenario: Imagine you have a list of temperatures in Celsius from different cities. You want to convert all these temperatures to Fahrenheit using a custom formula.

🎯 Goal: You will create a custom function to convert Celsius to Fahrenheit, then use np.vectorize() to apply this function to a list of temperatures efficiently.

📋 What You'll Learn

Create a list of Celsius temperatures called celsius_temps with the values 0, 20, 37, 100

Create a custom function called c_to_f that converts Celsius to Fahrenheit using the formula F = C * 9/5 + 32

Use np.vectorize() to apply c_to_f to celsius_temps and store the result in fahrenheit_temps

Print the fahrenheit_temps array

💡 Why This Matters

🌍 Real World

Scientists and engineers often need to apply custom calculations to many data points quickly. Vectorizing functions helps speed up these operations.

💼 Career

Data scientists and analysts use vectorized operations to handle large datasets efficiently without writing slow loops.

1

Create the Celsius temperatures list

Create a list called celsius_temps with these exact values: 0, 20, 37, 100

NumPy

# Create the list of Celsius temperatures
# Your code here

Need a hint?

Use square brackets to create a list with the given numbers separated by commas.

2

Define the Celsius to Fahrenheit function

Define a function called c_to_f that takes one parameter c and returns the Fahrenheit value using the formula c * 9/5 + 32

NumPy

celsius_temps = [0, 20, 37, 100]
# Define the function c_to_f below
# Your code here

Need a hint?

Use def to create the function and return the calculated Fahrenheit value.

3

Use np.vectorize() to apply the function

Import numpy as np. Then create a variable called vectorized_c_to_f by applying np.vectorize() to the c_to_f function. Use vectorized_c_to_f to convert celsius_temps and store the result in fahrenheit_temps

NumPy

celsius_temps = [0, 20, 37, 100]
def c_to_f(c):
    return c * 9 / 5 + 32

# Import numpy and vectorize the c_to_f function
# Your code here

Need a hint?

Remember to import numpy as np before using np.vectorize().

4

Print the Fahrenheit temperatures

Print the variable fahrenheit_temps to display the converted temperatures

NumPy

import numpy as np

celsius_temps = [0, 20, 37, 100]
def c_to_f(c):
    return c * 9 / 5 + 32

vectorized_c_to_f = np.vectorize(c_to_f)
fahrenheit_temps = vectorized_c_to_f(celsius_temps)

# Print the fahrenheit_temps array
# Your code here

Need a hint?

Use print(fahrenheit_temps) to show the converted temperatures.