Numpy recarray.dot() function | Python

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.dot() function returns product of two record arrays.

Syntax : numpy.recarray.dot(arr, out=None)

Parameters:
arr : Second record array.
out : [ndarray, optional] A location into which the result is stored.
  -> If provided, it must have a shape that the inputs broadcast to.
  -> If not provided or None, a freshly-allocated array is returned.

Return : A new array holding the result is returned unless out is specified, in which case it is returned.

Code #1 :

# Python program explaining # numpy.recarray.dot() method     # importing numpy as geek import numpy as geek    # creating 2 input array with 2 different field  in_arr1 = geek.array([[(5.0, 2), (3.0, -4), (6.0, 9)],                      [(9.0, 1), (5.0, 4), (-12.0, -7)]],                      dtype =[('a', float), ('b', int)])    in_arr2 = geek.array([[(2.0, 1), (4.0, -3)],                      [(8.0, 3), (6.0, 5)],                      [(6.0, -5), (-5.0, 4)]],                      dtype =[('a', float), ('b', int)])    print ("1st Input array : ", in_arr1) print ("2nd Input array : ", in_arr2)    # convert it to a record array, # using arr.view(np.recarray) rec_arr1 = in_arr1.view(geek.recarray) print("1st Record array of float: ", rec_arr1.a) print("1st Record array of int: ", rec_arr1.b) rec_arr2 = in_arr2.view(geek.recarray) print("2nd Record array of float: ", rec_arr2.a) print("2nd Record array of int: ", rec_arr2.b)    # applying recarray.dot methods # between two float record array  out_arr1 = rec_arr1.a.dot( rec_arr2.a) print ("Output float array  : ", out_arr1)     # applying recarray.dot methods # between two int record array  out_arr1 = rec_arr1.b.dot( rec_arr2.b) print ("Output int array  : ", out_arr1)

Output:

1st Input array :  [[(  5.,  2) (  3., -4) (  6.,  9)]
 [(  9.,  1) (  5.,  4) (-12., -7)]]
2nd Input array :  [[( 2.,  1) ( 4., -3)]
 [( 8.,  3) ( 6.,  5)]
 [( 6., -5) (-5.,  4)]]
1st Record array of float:  [[  5.   3.   6.]
 [  9.   5. -12.]]
1st Record array of int:  [[ 2 -4  9]
 [ 1  4 -7]]
2nd Record array of float:  [[ 2.  4.]
 [ 8.  6.]
 [ 6. -5.]]
2nd Record array of int:  [[ 1 -3]
 [ 3  5]
 [-5  4]]
Output float array  :  [[ 70.   8.]
 [-14. 126.]]
Output int array  :  [[-55  10]
 [ 48 -11]]