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 inNumPy's.npyformat;savez(): Saves multiple arrays to a single compressed.npzfile;savetxt(): Saves an array to a text file;load(): Loads an array from a binary file inNumPy's.npyformat;loadtxt(): Loads an array from a text file.
Compito
Swipe to start coding
- Save the newly created array in
NumPy's.npyformat. - Save the array to a text file.
- Load back in the array.
Soluzione
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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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Sezione 1. Capitolo 7
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