numpy.load() function return the input array from a disk file with npy extension(.npy).
Syntax : numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding=’ASCII’)
file : : file-like object, string, or pathlib.Path.The file to read. File-like objects must support the seek() and read() methods.
mmap_mode : If not None, then memory-map the file, using the given mode (see numpy.memmap for a detailed
description of the modes).
allow_pickle : Allow loading pickled object arrays stored in npy files.
fix_imports : Only useful when loading Python 2 generated pickled files on Python 3,which includes npy/npz files containing object arrays.
encoding : Only useful when loading Python 2 generated pickled files in Python 3, which includes npy/npz files containing object arrays.
Returns : Data stored in the file. For .npz files, the returned instance of NpzFile class must be closed to avoid leaking file descriptors.
Code #1 : Working
a is: [0, 1, 2, 1, 2, 3, 2, 3, 4] the array is saved in the file geekfile.npy b is: [0, 1, 2, 1, 2, 3, 2, 3, 4] b is printed from geekfile.npy
a is: [0 1 2 1 2 3 2 3 4] b is: [1 2 3] a and b are stored in geekfile.npz after loading... a is: [0 1 2 1 2 3 2 3 4] b is: [1 2 3]
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