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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Parameters :
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]]