In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is [(a, int), (b, float)], where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as arr['a'] and arr['b']. Record arrays allow the fields to be accessed as members of the array, using arr.a and arr.b. numpy.recarray.byteswap() function Swap the bytes of the array elements.

Syntax : numpy.recarray.byteswap(inplace=False) Parameters: inplace : [bool, optional] If True, swap bytes in-place, default is False. Return : [ndarray] byteswapped array. If inplace is True, this is a view to self.

Code : Python3

# Python program explaining
# numpy.recarray.byteswap() method 

# importing numpy as geek
import numpy as geek

# creating input array with 2 different field 
in_arr = geek.array([(5.0, 2), (3.0, -4), (6.0, 9)],
                    dtype =[('a', float), ('b', int)])
print ("Input array : ", in_arr)

# convert it to a record array, 
# using arr.view(np.recarray)
rec_arr = in_arr.view(geek.recarray)


# applying recarray.byteswap methods to record array 
out_arr = rec_arr.byteswap()
print ("Output swapped  record array : ", out_arr)