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Getting into NumPy Basics

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Saving and Loading Arrays to/from Files

NumPy offers a variety of functions for saving and loading numPy arrays to and from files, such as:

  • save(): Saves an array to a binary file in NumPy's .npy format;
  • savez(): Saves multiple arrays to a single compressed .npz file;
  • savetxt(): Saves an array to a text file;
  • load(): Loads an array from a binary file in NumPy's .npy format;
  • loadtxt(): Loads an array from a text file.
Task

Swipe to start coding

  1. Save the newly created array in NumPy's .npy format.
  2. Save the array to a text file.
  3. Load back in the array.

Solution

import numpy as np

# Create a NumPy array
arr = np.array([[1, 2, 3], [4, 5, 6]])

# Save the array to a binary file in NumPy's .npy format
np.save('array.npy', arr)

# Save the array to a text file
np.savetxt('array.txt', arr)

# Load the array
loaded_arr_npy = np.load('array.npy')
loaded_arr_txt = np.loadtxt('array.txt')

display(arr, loaded_arr_npy, loaded_arr_txt)

Congratulations!

Congratulations on completing this NumPy tutorial! You have gained substantial knowledge about handling arrays and matrices in Python, laying down a strong foundation for utilizing NumPy in your data processing and analysis endeavors.

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Section 1. Chapter 7
AVAILABLE TO ULTIMATE ONLY
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