numpy.ma.masked_all
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numpy.ma.masked_all(shape, dtype=<class 'float'>)[source]
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Empty masked array with all elements masked. Return an empty masked array of the given shape and dtype, where all the data are masked. Parameters: - 
shape : tuple
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Shape of the required MaskedArray. 
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dtype : dtype, optional
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Data type of the output. 
 Returns: - 
a : MaskedArray
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A masked array with all data masked. 
 See also - 
 masked_all_like
- Empty masked array modelled on an existing array.
 Examples>>> import numpy.ma as ma >>> ma.masked_all((3, 3)) masked_array(data = [[-- -- --] [-- -- --] [-- -- --]], mask = [[ True True True] [ True True True] [ True True True]], fill_value=1e+20)The dtypeparameter defines the underlying data type.>>> a = ma.masked_all((3, 3)) >>> a.dtype dtype('float64') >>> a = ma.masked_all((3, 3), dtype=np.int32) >>> a.dtype dtype('int32')
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    https://docs.scipy.org/doc/numpy-1.16.1/reference/generated/numpy.ma.masked_all.html