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# numpy.vstack

`numpy.``vstack`(tup)

  Stack arrays in sequence vertically (row wise).

  Take a sequence of arrays and stack them vertically to make a single array. Rebuild arrays divided by `vsplit`.

  Parameters : | tup : sequence of ndarrays Tuple containing arrays to be stacked. The arrays must have the same shape along all but the first axis.
  Returns : | stacked : ndarray The array formed by stacking the given arrays.

  See also

  `hstack`
    Stack arrays in sequence horizontally (column wise).
  `dstack`
    Stack arrays in sequence depth wise (along third dimension).
  `concatenate`
    Join a sequence of arrays together.
  `vsplit`
    Split array into a list of multiple sub-arrays vertically.

  Notes

  Equivalent to `np.concatenate(tup, axis=0)` if tup contains arrays that are at least 2-dimensional.

  Examples

      >>> a = np.array([1, 2, 3])
      >>> b = np.array([2, 3, 4])
      >>> np.vstack((a,b))
      array([[1, 2, 3],
             [2, 3, 4]])

      >>> a = np.array([[1], [2], [3]])
      >>> b = np.array([[2], [3], [4]])
      >>> np.vstack((a,b))
      array([[1],
             [2],
             [3],
             [2],
             [3],
             [4]])