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# numpy.hstack

`numpy.``hstack`(tup)

  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

      >>> 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]])