numpy.ma.make_mask_none#

ma.make_mask_none(newshape, dtype=None)[source]#

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

newshapetuple: 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

resultndarray: 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')])

numpy.ma.make_mask

numpy.ma.mask_or