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