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NumPy – with I/O. The ndarray objects can be saved to and loaded from the disk files. The IO functions available are −

NumPy introduces a simple file format for ndarray objects.

NumPy – with I/O(numpy.save)

The numpy.save() file stores the input array in a disk file with npy extension.

import numpy as np 
a = np.array([1,2,3,4,5]) 
np.save('outfile',a)

To reconstruct array from outfile.npy, use load() function.

import numpy as np 
b = np.load('outfile.npy') 
print b 

It will produce the following output −

array([1, 2, 3, 4, 5])

The save() and load() functions accept an additional Boolean parameter allow_pickles. A pickle in Python is used to serialize and de-serialize objects before saving to or reading from a disk file.

savetxt()

The storage and retrieval of array data in simple functions accept an additional Boolean parameter allow_pickles

Example

import numpy as np 

a = np.array([1,2,3,4,5]) 
np.savetxt('out.txt',a) 
b = np.loadtxt('out.txt') 
print b 

It will produce the following output −

[ 1.  2.  3.  4.  5.] 

The savetxt() and loadtxt() functions accept additional optional parameters such as header, footer, and delimiter.

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