numpy.ma.make_mask_none — NumPy v1.15 Manual (original) (raw)
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 dtype, converted to boolean types. |
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| Returns: | result : ndarray An ndarray of appropriate shape and dtype, filled with False. |
See also
Create a boolean mask from an array.
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, 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')])