# numpy.ma.make_mask_none

ma.make_mask_none(newshape, dtype=None)

  Return a boolean mask of the given shape, filled with False.

  This function returns a boolean ndarray with all entries False, that can be used in common mask manipulations. If a complex dtype is specified, the type of each field is converted to a boolean type.

  Parameters
    newshape tuple

      A tuple indicating the shape of the mask.

    dtype{None, dtype}, optional

      If None, use a MaskType instance. Otherwise, use a new datatype with the same fields as `dtype`, converted to boolean types.

  Returns
    result ndarray

      An ndarray of appropriate shape and dtype, filled with False.

  See also

  `make_mask`

    Create a boolean mask from an array.

  `make_mask_descr`

    Construct a dtype description list from a given dtype.

  Examples

      >>> import numpy.ma as ma
      >>> ma.make_mask_none((3,))
      array([False, False, False])

  Defining a more complex dtype.

      >>> dtype = np.dtype({'names':['foo', 'bar'],
      ...                   'formats':[np.float32, np.int64]})
      >>> dtype
      dtype([('foo', '<f4'), ('bar', '<i8')])
      >>> ma.make_mask_none((3,), dtype=dtype)
      array([(False, False), (False, False), (False, False)],
            dtype=[('foo', '|b1'), ('bar', '|b1')])

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