numpy.hstack — NumPy v1.15 Manual (original) (raw)
Stack arrays in sequence horizontally (column wise).
This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis. Rebuilds arrays divided by hsplit.
This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack andblock provide more general stacking and concatenation operations.
| Parameters: | tup : sequence of ndarrays The arrays must have the same shape along all but the second axis, except 1-D arrays which can be any length. |
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| Returns: | stacked : ndarray The array formed by stacking the given arrays. |
See also
Join a sequence of arrays along a new axis.
Stack arrays in sequence vertically (row wise).
Stack arrays in sequence depth wise (along third axis).
Join a sequence of arrays along an existing axis.
Split array along second axis.
Assemble arrays from blocks.
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]])