numpy.multiply — NumPy v1.13 Manual (original) (raw)

numpy. multiply(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, _subok=True_[, signature, _extobj_]) = <ufunc 'multiply'>¶

Multiply arguments element-wise.

Parameters:	x1, x2 : array_like Input arrays to be multiplied. out : ndarray, None, or tuple of ndarray and None, 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. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. 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 For other keyword-only arguments, see theufunc docs.
Returns:	y : ndarray The product of x1 and x2, element-wise. Returns a scalar if both x1 and x2 are scalars.

Parameters:

x1, x2 : array_like Input arrays to be multiplied. out : ndarray, None, or tuple of ndarray and None, 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. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. 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 For other keyword-only arguments, see theufunc docs.

Returns:

y : ndarray The product of x1 and x2, element-wise. Returns a scalar if both x1 and x2 are scalars.

Notes

Equivalent to x1 * x2 in terms of array broadcasting.

Examples

np.multiply(2.0, 4.0) 8.0

x1 = np.arange(9.0).reshape((3, 3)) x2 = np.arange(3.0) np.multiply(x1, x2) array([[ 0., 1., 4.], [ 0., 4., 10.], [ 0., 7., 16.]])