Fancy indexing with integer arrays in NumPy - Mini Project: Build & Apply

Fancy indexing with integer arrays

📖 Scenario: Imagine you have a list of daily temperatures for a week. You want to pick specific days to check the temperatures, but not in order. This is like picking favorite days to remember.

🎯 Goal: You will create a NumPy array of temperatures, then use fancy indexing with an integer array to select temperatures from specific days.

📋 What You'll Learn

Create a NumPy array called temps with these exact values: [22, 19, 24, 21, 20, 23, 18]

Create a NumPy array called days with these exact indices: [0, 3, 5]

Use fancy indexing with days to select temperatures from temps and store in selected_temps

Print the selected_temps array

💡 Why This Matters

🌍 Real World

Fancy indexing helps quickly pick specific data points from large datasets, like selecting certain days' temperatures from a weather dataset.

💼 Career

Data scientists often use fancy indexing to filter and analyze subsets of data efficiently without loops.

1

Create the temperature array

Import NumPy as np and create a NumPy array called temps with these exact values: [22, 19, 24, 21, 20, 23, 18]

NumPy

# Import numpy and create the temps array
# Your code here

Need a hint?

Use import numpy as np first. Then create temps using np.array() with the exact list of numbers.

2

Create the days index array

Create a NumPy array called days with these exact indices: [0, 3, 5]

NumPy

import numpy as np

temps = np.array([22, 19, 24, 21, 20, 23, 18])

# Create the days array
# Your code here

Need a hint?

Use np.array() to create days with the exact indices.

3

Select temperatures using fancy indexing

Use fancy indexing with the days array to select temperatures from temps and store the result in a variable called selected_temps

NumPy

import numpy as np

temps = np.array([22, 19, 24, 21, 20, 23, 18])
days = np.array([0, 3, 5])

# Use fancy indexing to select temperatures
# Your code here

Need a hint?

Use temps[days] to pick the temperatures at the indices in days.

4

Print the selected temperatures

Print the selected_temps array to see the temperatures from the chosen days

NumPy

import numpy as np

temps = np.array([22, 19, 24, 21, 20, 23, 18])
days = np.array([0, 3, 5])
selected_temps = temps[days]

# Print the selected_temps array
# Your code here

Need a hint?

Use print(selected_temps) to display the selected temperatures.