numpy.load () in Python

Arrays | File handling | NumPy | Python functions

Michael Zippo 18.07.2021

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 ]

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numpy.load () in Python

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