numpy.subtract() in Python
numpy.subtract() function is used when we want to compute the difference of two array.It returns the difference of arr1 and arr2, element-wise.
Syntax : numpy.subtract(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘subtract’)
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arr1 : [array_like or scalar]1st Input array.
arr2 : [array_like or scalar]2nd Input array.
dtype : 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.
-> If provided, it must have a shape that the inputs broadcast to.
-> 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]]