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# numpy.ma.masked_all

`numpy.ma.``masked_all`(shape, dtype=<type 'float'>)

  Empty masked array with all elements masked.

  Return an empty masked array of the given shape and dtype, where all the data are masked.

  Parameters : | shape : tuple Shape of the required MaskedArray. dtype : dtype, optional Data type of the output.
  Returns : | a : MaskedArray A masked array with all data masked.

  See also

  `masked_all_like`
    Empty masked array modelled on an existing array.

  Examples

      >>> import numpy.ma as ma
      >>> ma.masked_all((3, 3))
      masked_array(data =
       [[-- -- --]
       [-- -- --]
       [-- -- --]],
            mask =
       [[ True  True  True]
       [ True  True  True]
       [ True  True  True]],
            fill_value=1e+20)

  The dtype parameter defines the underlying data type.

      >>> a = ma.masked_all((3, 3))
      >>> a.dtype
      dtype('float64')
      >>> a = ma.masked_all((3, 3), dtype=np.int32)
      >>> a.dtype
      dtype('int32')

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