numpy.percentile() in python

NumPy save() Method | Save Array to a File

Last Updated : 02 Feb, 2024

The NumPy save() method is used to store the input array in a binary file with the ‘npy extension’ (.npy).

Example:

Python3

import numpy as np 
a = np.arange(5) 
np.save('array_file', a)

Syntax

Syntax: numpy.save(file, arr, allow_pickle=True, fix_imports=True)

Parameters:

file: File or filename to which the data is saved. If the file is a string or Path, a .npy extension will be appended to the file name if it does not already have one. If the file is a file object, then the filename is unchanged.

allow_pickle : Allow saving object arrays using Python pickles. Reasons for disallowing pickles include security (loading pickled data can execute arbitrary code) and portability (pickled objects may not be loadable on different Python installations). Default: True

fix_imports : Only useful in forcing objects in object arrays on Python 3 to be pickled in a Python 2 compatible way.

arr : Array data to be saved.

Returns: Stores the input array in a disk file with ‘.npy’ extension.

Examples

Let’s understand the workings of numpy.save() method in these Python code and know how to use save() method of NumPy library.

To use numpy.save() function, you just need to pass the file name and array in the function.

Example 1

Python3

# Python program explaining  
# save() function  
  
import numpy as geek 
  
a = geek.arange(5) 
  
# a is printed. 
print("a is:") 
print(a) 
  
# the array is saved in the file geekfile.npy  
geek.save('geekfile', a) 
  
print("the array is saved in the file geekfile.npy")

Output :

a is:
[0 1 2 3 4]
the array is saved in the file geekfile.npy

Example 2

Python3

# Python program explaining  
# save() function  
  
import numpy as geek 
  
# the array is loaded into b 
b = geek.load('geekfile.npy') 
  
print("b is:") 
print(b) 
  
# b is printed from geekfile.npy 
print("b is printed from geekfile.npy")

Output :

b is:
[0 1 2 3 4]
b is printed from geekfile.npy

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