numpy.maximum() in Python

Last Updated : 28 Nov, 2018

numpy.maximum() function is used to find the element-wise maximum of array elements.

It compares two arrays and returns a new array containing the element-wise maxima. If one of the elements being compared is a NaN, then that element is returned. If both elements are NaNs then the first is returned.

Syntax : numpy.maximum(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘maximum’)

Parameters :
arr1 : [array_like] Input array.
arr2 : [array_like] Input 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.
**kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

Return : [ndarray or scalar] Result.
The maximum of arr1 and arr2, element-wise. This is a scalar if both arr1 and arr2 are scalars.

Code #1 : Working

   # Python program explaining 
# maximum() function 
  
import numpy as geek 
in_num1 = 10
in_num2 = 21
  
print ("Input  number1 : ", in_num1) 
print ("Input  number2 : ", in_num2)  
    
out_num = geek.maximum(in_num1, in_num2)  
print ("maximum of 10 and 21 : ", out_num)  
 
  

Output :

Input  number1 :  10  Input  number2 :  21  maximum of 10 and 21 :  21

Code #2 :

   # Python program explaining 
# maximum() function 
  
import numpy as geek 
  
in_arr1 = [2, 8, 125] 
in_arr2 = [3, 3, 15] 
   
print ("Input array1 : ", in_arr1)  
print ("Input array2 : ", in_arr2) 
    
out_arr = geek.maximum(in_arr1, in_arr2)  
print ("Output array after selecting maximum: ", out_arr)  
 
  

Output :

Input array1 :  [2, 8, 125]  Input array2 :  [3, 3, 15]  Output array after selecting maximum:  [  3   8 125]

Code #3 :

   # Python program explaining 
# maximum() function 
  
import numpy as geek 
  
in_arr1 = [geek.nan, 0, geek.nan] 
in_arr2 = [geek.nan, geek.nan, 0] 
   
print ("Input array1 : ", in_arr1)  
print ("Input array2 : ", in_arr2) 
    
out_arr = geek.maximum(in_arr1, in_arr2)  
print ("Output array after selecting maximum: ", out_arr)  
 
  

Output :

Input array1 :  [nan, 0, nan]  Input array2 :  [nan, nan, 0]  Output array after selecting maximum:  [ nan  nan  nan]

numpy.argmax() in Python

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