np.savetxt() and np.loadtxt() for text in NumPy - Mini Project: Build & Apply

Saving and Loading Data with np.savetxt() and np.loadtxt()

📖 Scenario: Imagine you are working with temperature data collected from sensors every hour. You want to save this data to a text file so you can share it or use it later. Then, you want to load the data back into your program to analyze it.

🎯 Goal: You will create a small array of temperature data, save it to a text file using np.savetxt(), then load it back using np.loadtxt(). Finally, you will print the loaded data to check it matches the original.

📋 What You'll Learn

Create a numpy array called temperatures with the exact values: 22.5, 23.0, 21.8, 22.1, 23.3

Create a string variable called filename with the value 'temps.txt'

Use np.savetxt() to save temperatures to the file filename

Use np.loadtxt() to load the data from filename into a variable called loaded_temps

Print the variable loaded_temps to display the loaded data

💡 Why This Matters

🌍 Real World

Saving sensor or experiment data to text files is common in data science to share or archive data in a simple format.

💼 Career

Data scientists often need to save processed data and reload it later for analysis or reporting. Knowing how to use <code>np.savetxt()</code> and <code>np.loadtxt()</code> is a basic but important skill.

1

Create the temperature data array

Create a numpy array called temperatures with these exact values: 22.5, 23.0, 21.8, 22.1, 23.3

NumPy

import numpy as np
# Create the numpy array called temperatures with the given values
# Your code here

Need a hint?

Use np.array() and put the values inside a list.

2

Create the filename variable

Create a string variable called filename and set it to 'temps.txt'

NumPy

import numpy as np

temperatures = np.array([22.5, 23.0, 21.8, 22.1, 23.3])
# Create the filename variable with value 'temps.txt'
# Your code here

Need a hint?

Just assign the string 'temps.txt' to the variable filename.

3

Save the array to a text file

Use np.savetxt() to save the temperatures array to the file named filename

NumPy

import numpy as np

temperatures = np.array([22.5, 23.0, 21.8, 22.1, 23.3])

filename = 'temps.txt'
# Save the temperatures array to the file using np.savetxt
# Your code here

Need a hint?

Call np.savetxt() with the filename and the array as arguments.

4

Load the data and print it

Use np.loadtxt() to load the data from the file filename into a variable called loaded_temps. Then print loaded_temps to display the loaded data.

NumPy

import numpy as np

temperatures = np.array([22.5, 23.0, 21.8, 22.1, 23.3])

filename = 'temps.txt'

np.savetxt(filename, temperatures)
# Load the data from the file into loaded_temps
# Print loaded_temps
# Your code here

Need a hint?

Use loaded_temps = np.loadtxt(filename) to load, then print(loaded_temps).