numpy.add() Syntax
Syntax : numpy.add(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘add’)
Parameters :
- arr1 : [array_like or scalar] Input array.
- arr2 : [array_like or scalar] 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.
- 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 sum of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars.
numpy.add() in Python
NumPy, the Python powerhouse for scientific computing, provides an array of tools to efficiently manipulate and analyze data. Among its key functionalities lies numpy.add()
a potent function that performs element-wise addition on NumPy arrays.
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