numpy.load() in Python

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') Parameters: 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 Output :

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

  Code #2:

Output :

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]