numpy.subtract() is used when we want to calculate the difference between two arrays. It returns the difference arr1 and arr2 element by element.
Syntax: numpy.subtract (arr1, arr2, /, out = None, *, where = True, casting = ` same_kind `, order =` K `, dtype = None, subok = True [, signature, extobj], ufunc` subtract `)
arr1: [array_like or scalar] 1st Input array.
arr2: [array_like or scalar] 2nd Input array.
dtype: strong > The type of the returned array. By default, the dtype of arr is used.
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.
where: [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
** kwargs: Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function.
Return: [ndarray or scalar] The difference of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars.
Code # 1:
1st Input number: 4 2nd Input number: 6 Difference of two input number: -2
Code # 2:
1st Input array: [[2 -4 5] [-6 2 0]] 2nd Input array: [[0 -7 5] [5 -2 9 ]] Output array: [[2 3 0] [-11 4 -9]]