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
# Python program explaining # load() function import numpy as geek a = geek.array(([i + j for i in range(3) for j in range(3)]))# a 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 file geekfile.npy b = geek.load('geekfile.npy') # the array is loaded into bprint("b is:")print(b) # b is printed from geekfile.npyprint("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.npzgeek.savez('geekfile.npz', a = a, b = b) print("a and b are stored in geekfile.npz") # compressed file is loadedc = 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]
… [Trackback]
[…] Find More on on that Topic: geeksforgeeks.org/numpy-load-in-python/ […]