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# numpy.ma.make_mask_none

`numpy.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], dtype=bool)

  Defining a more complex dtype.

      >>> dtype = np.dtype({'names':['foo', 'bar'],
                            'formats':[np.float32, np.int]})
      >>> dtype
      dtype([('foo', '<f4'), ('bar', '<i4')])
      >>> ma.make_mask_none((3,), dtype=dtype)
      array([(False, False), (False, False), (False, False)],
            dtype=[('foo', '|b1'), ('bar', '|b1')])