The ndarray objects can be saved to and loaded from the disk files. The IO functions available are −
- load() and save() functions handle /numPy binary files (with npy extension)
- loadtxt() and savetxt() functions handle normal text files
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 bIt 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 text file format is done with savetxt() and loadtxt() functions.Example
import numpy as np a = np.array([1,2,3,4,5]) np.savetxt('out.txt',a) b = np.loadtxt('out.txt') print bIt 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.
No comments:
Post a Comment