If one of the compared elements is NaN, then an element other than nan is returned. If both elements are NaN, 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 freshlyallocated 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, elementwise. Returns scalar if both arr1 and arr2 are scalars.
Code # 1: Work
# 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:

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

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