Numpy recarray.argmax() function | Python

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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.argmax() function returns indices of the max element of the array in a particular axis.

Syntax : numpy.recarray.argmax(axis=None, out=None)

Parameters:
axis : [ int, optional] Along a specified axis like 0 or 1
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.

Returns : [ndarray of ints] Array of indices into the array with same shape as array.shape with the dimension along axis removed.

Code #1 :

# Python program explaining 
# numpy.recarray.argmax() 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, -7)], 
                     [(9.0, 1), (6.0, 4), (-2.0, -7)]], 
                      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) 
print("Record array of float: ", rec_arr.a) 
print("Record array of int: ", rec_arr.b) 
  
# applying recarray.argmax methods to 
# float record array along axis 1 
out_arr = geek.recarray.argmax(rec_arr.a, axis = 1) 
print ("Output array along axis 1: ", out_arr)  
  
# applying recarray.argmax methods to 
# int record array along axis 0 
out_arr = geek.recarray.argmax(rec_arr.b, axis = 0) 
print ("Output array along axis 0: ", out_arr)  

Output:

Input array :  [[(5.0, 2) (3.0, 4) (6.0, -7)]
 [(9.0, 1) (6.0, 4) (-2.0, -7)]]
Record array of float:  [[ 5.  3.  6.]
 [ 9.  6. -2.]]
Record array of int:  [[ 2  4 -7]
 [ 1  4 -7]]
Output array along axis 1:  [2 0]
Output array along axis 0:  [0 0 0]

Code #2 :

If we apply numpy.recarray.argmax() to whole record array then it will give Type error .

# Python program explaining 
# numpy.recarray.argmax() 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, -7)], 
                     [(9.0, 1), (6.0, 4), (-2.0, -7)]], 
                     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.argmax methods to  record array 
out_arr = geek.recarray.argmax(rec_arr) 