Type casting with astype() in NumPy - Mini Project: Build & Apply

Type Casting with astype() in NumPy

📖 Scenario: You are working with a small dataset of product prices stored as floating-point numbers. You want to convert these prices to integers to simplify further calculations.

🎯 Goal: Learn how to use the astype() method in NumPy to change the data type of an array.

📋 What You'll Learn

Create a NumPy array with specific float values

Create a variable to hold the target data type

Use astype() to convert the array to integers

Print the converted array

💡 Why This Matters

🌍 Real World

In data science, data often comes in different formats. Converting data types helps prepare data for analysis or machine learning.

💼 Career

Knowing how to change data types with NumPy is essential for data cleaning and preprocessing tasks in data science roles.

1

Create a NumPy array with float values

Import NumPy as np and create a NumPy array called prices with these float values: 19.99, 5.49, 3.50, 12.75, 7.30.

NumPy

import numpy as np
# Create the NumPy array called prices with the given float values
# Your code here

Need a hint?

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

2

Create a variable for the target data type

Create a variable called target_type and set it to int to specify the desired data type for conversion.

NumPy

import numpy as np
prices = np.array([19.99, 5.49, 3.50, 12.75, 7.30])
# Create the variable target_type and set it to int
# Your code here

Need a hint?

Just assign int to the variable target_type.

3

Convert the array to integers using astype()

Create a new variable called prices_int by converting the prices array to integers using the astype() method with the target_type variable.

NumPy

import numpy as np
prices = np.array([19.99, 5.49, 3.50, 12.75, 7.30])
target_type = int
# Convert prices to integers using astype() and store in prices_int
# Your code here

Need a hint?

Use prices.astype(target_type) to convert the array.

4

Print the converted integer array

Print the prices_int array to see the integer values after conversion.

NumPy

import numpy as np
prices = np.array([19.99, 5.49, 3.50, 12.75, 7.30])
target_type = int
prices_int = prices.astype(target_type)
# Print the prices_int array
# Your code here

Need a hint?

Use print(prices_int) to display the converted array.