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# numpy.ma.concatenate

`numpy.ma.``concatenate`(arrays, axis=0)

  Concatenate a sequence of arrays along the given axis.

  Parameters : | arrays : sequence of array_like 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 : | result : MaskedArray The concatenated array with any masked entries preserved.

  See also

  `numpy.concatenate`
    Equivalent function in the top-level NumPy module.

  Examples

      >>> import numpy.ma as ma
      >>> a = ma.arange(3)
      >>> a[1] = ma.masked
      >>> b = ma.arange(2, 5)
      >>> a
      masked_array(data = [0 -- 2],
                   mask = [False  True False],
             fill_value = 999999)
      >>> b
      masked_array(data = [2 3 4],
                   mask = False,
             fill_value = 999999)
      >>> ma.concatenate([a, b])
      masked_array(data = [0 -- 2 2 3 4],
                   mask = [False  True False False False False],
             fill_value = 999999)

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