It compares the two arrays and returns a new array containing the element-wise minimums. If one of the compared elements is NaN, then that element is returned. If both elements are NaN, then the first is returned.
Syntax: numpy.minimum (arr1, arr2, /, out = None, *, where = True, casting = `same_kind`, order = `K`, dtype = None, ufunc `minimum`)
arr1: [ array_like] Input array.
arr2: [array_like] Input array.
out: [ndarray, optional] A location into which the result is stored .
- & gt; If provided, it must have a shape that the inputs broadcast to.
- & gt; 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: Work
Input number1: 10 Input number2: 21 minimum of 10 and 21: 10
Code # 2:
Input array1: [2, 8, 125] Input array2: [3, 3, 15] Output array after selecting minimum: [2 3 15]
Code # 3:
# Python program explaining
# minimum () function
numpy as geek
, geek.nan ]
[geek.nan , geek.nan,
"Input array1: "
geek.minimum ( in_arr1, in_arr2)
" Output array after selecting minimum: "
Input array1: [nan , 0, nan] Input array2: [nan, nan, 0] Output array after selecting minimum: [nan nan nan]
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