-
numpy.hstack(tup)
[source] -
Stack arrays in sequence horizontally (column wise).
Take a sequence of arrays and stack them horizontally to make a single array. Rebuild arrays divided by
hsplit
.Parameters: tup : sequence of ndarrays
All arrays must have the same shape along all but the second axis.
Returns: stacked : ndarray
The array formed by stacking the given arrays.
See also
-
stack
- Join a sequence of arrays along a new axis.
-
vstack
- Stack arrays in sequence vertically (row wise).
-
dstack
- Stack arrays in sequence depth wise (along third axis).
-
concatenate
- Join a sequence of arrays along an existing axis.
-
hsplit
- Split array along second axis.
Notes
Equivalent to
np.concatenate(tup, axis=1)
Examples
12345678910>>> a
=
np.array((
1
,
2
,
3
))
>>> b
=
np.array((
2
,
3
,
4
))
>>> np.hstack((a,b))
array([
1
,
2
,
3
,
2
,
3
,
4
])
>>> a
=
np.array([[
1
],[
2
],[
3
]])
>>> b
=
np.array([[
2
],[
3
],[
4
]])
>>> np.hstack((a,b))
array([[
1
,
2
],
[
2
,
3
],
[
3
,
4
]])
-
numpy.hstack()

2025-01-10 15:47:30
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