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')])