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# numpy.concatenate

`numpy.``concatenate`((a1, a2, ...), axis=0)

  Join a sequence of arrays together.

  Parameters: | a1, a2, ... : sequence of ndarrays The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default). axis : int, optional The axis along which the arrays will be joined. Default is 0.
  Returns: | res : ndarray The concatenated array.

  See also

  `array_split`
    Split an array into multiple sub-arrays of equal or near-equal size.
  `split`
    Split array into a list of multiple sub-arrays of equal size.
  `hsplit`
    Split array into multiple sub-arrays horizontally (column wise)
  `vsplit`
    Split array into multiple sub-arrays vertically (row wise)
  `dsplit`
    Split array into multiple sub-arrays along the 3rd axis (depth).
  `hstack`
    Stack arrays in sequence horizontally (column wise)
  `vstack`
    Stack arrays in sequence vertically (row wise)
  `dstack`
    Stack arrays in sequence depth wise (along third dimension)

  Examples

      >>> a = np.array([[1, 2], [3, 4]])
      >>> b = np.array([[5, 6]])
      >>> np.concatenate((a, b), axis=0)
      array([[1, 2],
             [3, 4],
             [5, 6]])

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