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numpy.fmin() in Python
  • Last Updated : 28 Nov, 2018

numpy.fmin() function is used to compute element-wise minimum of array elements. This function compare two arrays and returns a new array containing the element-wise minima.

If one of the elements being compared is a NaN, then the non-nan element is returned. If both elements are NaNs then the first is returned.

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

Parameters :
arr1 : [array_like] The array holding the elements to be compared.
arr2 : [array_like] The array holding the elements to be compared.
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] The minimum of arr1 and arr2, element-wise. Returns scalar if both arr1 and arr2 are scalars.



Code #1 : Working




# Python program explaining
# fmin() function
  
import numpy as geek
in_num1 = 10
in_num2 = 11
  
print ("Input  number1 : ", in_num1)
print ("Input  number2 : ", in_num2) 
    
out_num = geek.fmin(in_num1, in_num2) 
print ("minimum of 10 and 11 : ", out_num) 


Output :

Input  number1 :  10
Input  number2 :  11
minimum of 10 and 11 :  10

 
Code #2 :




# Python program explaining
# fmin() function
  
import numpy as geek
  
in_arr1 = [2, 8, 125, geek.nan]
in_arr2 = [geek.nan, 3, 115, geek.nan]
   
print ("Input array1 : ", in_arr1) 
print ("Input array2 : ", in_arr2)
    
out_arr = geek.fmin(in_arr1, in_arr2) 
print ("Output array : ", out_arr) 


Output :

Input array1 :  [2, 8, 125, nan]
Input array2 :  [nan, 3, 115, nan]
Output array :  [   2.    3.  115.   nan]

 
Code #3 :




# Python program explaining
# fmin() function
  
import numpy as geek
  
in_arr1 = [2, 8, 125]
in_arr2 = [3, 3, 115]
   
   
print ("Input array1 : ", in_arr1) 
print ("Input array2 : ", in_arr2)
    
out_arr = geek.fmin(in_arr1, in_arr2) 
print ("Output array: ", out_arr) 


Output :

Input array1 :  [2, 8, 125]
Input array2 :  [3, 3, 115]
Output array:  [  2   3 115]

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