# numpy.ma.append

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)
      >>> ma.append(a, b)
      masked_array(data=[1, --, 3, 4, 5, 6, --, 8, 9],
                   mask=[False,  True, False, False, False, False,  True, False,
                         False],
             fill_value=999999)