numpy.load() returns an input array from a file on disk with npy (.npy) extension.

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: Work

# Python program explaining # load () function   import numpy as geek   a = geek.array (([i + j for i in range ( 3 )    for j in range ( 3 )])) # is printed. print ( "a is:" ) print (a)   geek.save ( `geekfile` , a) print ( "the array is saved in the file geekfile.npy" )   # the array is saved in the geekfile.npy file b = geek.load ( `geekfile.npy` )   # array is loaded into b print ( "b is:" ) print (b)   # b prints from geekfile.npy print ( "b is printed from geekfile.npy" )

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:

# Python program explaining # load () function   import numpy as geek   # a and b are numpy arrays. a = geek.array (([i + j for i in range ( 3 )    for j in range ( 3 )])) b = geek.array ([i + 1 for i in range ( 3 )])   # a and b are printed. print ( "a is:" ) print (a) print ( "b is:" ) print (b)    # a and b are stored in geekfile.npz geek.savez ( `geekfile.npz` , a = a, b = b)   print ( " a and b are stored in geekfile.npz " )    # compressed file uploaded c = geek.load ( `geekfile.npz` )   print ( "after loading ..."  ) print ( "a is: " , c [ ` a` ]) print ( "b is:" , c [ `b` ])

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 ]