numpy.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: |
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 |
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Returns: |
result : ndarray An ndarray of appropriate shape and dtype, filled with False. |
See also
make_mask
make_mask_descr
>>> 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')])
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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.ma.make_mask_none.html