numpy.hstack — NumPy v1.13 Manual (original) (raw)
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 or np.stack. The np.stackfunction 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
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.
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]])