Numpy recarray.argmax() function | Python

Last Updated : 23 Apr, 2019

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 :

Python3

# 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 .

Python3

# 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)