np.arange() for range arrays in NumPy - Mini Project: Build & Apply

Create and Use Arrays with np.arange()

📖 Scenario: You are working with daily temperatures recorded over a week. You want to create arrays representing days and temperature ranges to analyze the data easily.

🎯 Goal: Build arrays using np.arange() to represent days and temperature ranges, then print the arrays to see the results.

📋 What You'll Learn

Use np.arange() to create arrays

Create arrays with specific start, stop, and step values

Print the arrays to display the data

💡 Why This Matters

🌍 Real World

Scientists and analysts often need to create sequences of numbers to represent time, measurements, or ranges for experiments and data analysis.

💼 Career

Knowing how to create arrays with <code>np.arange()</code> is essential for data scientists and analysts to prepare and manipulate data efficiently.

1

Create an array of days using np.arange()

Import the numpy library as np. Then create an array called days using np.arange() that starts at 1 and ends at 8 (not including 8) to represent days 1 to 7.

NumPy

import numpy as np
# Create the days array using np.arange()
# Your code here

Need a hint?

Use np.arange(start, stop) where stop is one more than the last day you want.

2

Create an array of temperatures from 20 to 30

Create an array called temps using np.arange() that starts at 20, ends at 31 (not including 31), with a step of 1 to represent temperatures from 20 to 30 degrees.

NumPy

import numpy as np
days = np.arange(1, 8)
# Create the temps array using np.arange() with step 1
# Your code here

Need a hint?

Remember to include the step value as the third argument in np.arange().

3

Create an array of temperatures with step 0.5

Create an array called temps_half using np.arange() that starts at 20, ends at 22 (not including 22), with a step of 0.5 to represent temperatures increasing by half degrees.

NumPy

import numpy as np
days = np.arange(1, 8)
temps = np.arange(20, 31, 1)
# Create the temps_half array using np.arange() with step 0.5
# Your code here

Need a hint?

Use a decimal number for the step to get half-degree increments.

4

Print all three arrays

Print the arrays days, temps, and temps_half each on a separate line to see their values.

NumPy

import numpy as np
days = np.arange(1, 8)
temps = np.arange(20, 31, 1)
temps_half = np.arange(20, 22, 0.5)
# Print the days, temps, and temps_half arrays
# Your code here

Need a hint?

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