numpy.hstack¶
-
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
.This function continues to be supported for backward compatibility, but you should prefer
np.concatenate
ornp.stack
. Thenp.stack
function was added in NumPy 1.10.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.
block
- Assemble arrays from blocks.
Notes
Equivalent to
np.concatenate(tup, axis=1)
if tup contains arrays that are at least 2-dimensional.Examples
>>> 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]])