numpy.minimum() in Python

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

It compare two arrays and returns a new array containing the element-wise minima. 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.minimum(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘minimum’)

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 minimum of arr1 and arr2, element-wise. This is a scalar if both arr1 and arr2 are scalars.

Code #1 : Working

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

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Output :

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

 
Code #2 :

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# Python program explaining
# minimum() 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.minimum(in_arr1, in_arr2) 
print ("Output array after selecting minimum: ", out_arr) 

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Output :

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

 
Code #3 :

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# Python program explaining
# minimum() 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.minimum(in_arr1, in_arr2) 
print ("Output array after selecting minimum: ", out_arr) 

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Output :

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


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