-
numpy.add(x1, x2[, out]) =
-
Add arguments element-wise.
Parameters: x1, x2 : array_like
The arrays to be added. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which may be the shape of one or the other).Returns: add : ndarray or scalar
The sum of
x1
andx2
, element-wise. Returns a scalar if bothx1
andx2
are scalars.Notes
Equivalent to
x1
+x2
in terms of array broadcasting.Examples
12345678>>> np.add(
1.0
,
4.0
)
5.0
>>> x1
=
np.arange(
9.0
).reshape((
3
,
3
))
>>> x2
=
np.arange(
3.0
)
>>> np.add(x1, x2)
array([[
0.
,
2.
,
4.
],
[
3.
,
5.
,
7.
],
[
6.
,
8.
,
10.
]])
numpy.add()

2025-01-10 15:47:30
Please login to continue.