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# numpy.ma.append

`numpy.ma.``append`(a, b, axis=None)

  Append values to the end of an array.

  New in version 1.9.0.

  Parameters: | a : array_like Values are appended to a copy of this array. b : array_like These values are appended to a copy of a. It must be of the correct shape (the same shape as a, excluding axis). If axis is not specified, b can be any shape and will be flattened before use. axis : int, optional The axis along which v are appended. If axis is not given, both a and b are flattened before use.
  Returns: | append : MaskedArray A copy of a with b appended to axis. Note that `append` does not occur in-place: a new array is allocated and filled. If axis is None, the result is a flattened array.

  See also

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

  Examples

      >>> import numpy.ma as ma
      >>> a = ma.masked_values([1, 2, 3], 2)
      >>> b = ma.masked_values([[4, 5, 6], [7, 8, 9]], 7)
      >>> print(ma.append(a, b))
      [1 -- 3 4 5 6 -- 8 9]