Reading and Writing Arrays to/from Files in NumPy

NumPy provides functions for saving and loading arrays to and from files in various formats.

1. Importing NumPy

Before handling file operations, import NumPy.

            import numpy as np

2. Saving and Loading Arrays in .npy Format

NumPy allows saving arrays in binary format using np.save() and loading them using np.load().

Saving an Array

            arr = np.array([10, 20, 30, 40, 50])
            np.save("array.npy", arr)

Loading an Array

            loaded_arr = np.load("array.npy")
            print(loaded_arr)
            # Output: [10 20 30 40 50]

3. Saving and Loading Arrays in Text Format

Use np.savetxt() and np.loadtxt() to save and read arrays in text format.

Saving an Array as a Text File

            np.savetxt("array.txt", arr, delimiter=",")

Loading an Array from a Text File

            loaded_txt_arr = np.loadtxt("array.txt", delimiter=",")
            print(loaded_txt_arr)
            # Output: [10. 20. 30. 40. 50.]

4. Conclusion

NumPy provides efficient methods to save and load arrays in both binary (.npy) and text formats for easy data storage and retrieval.




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