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numpy.ma.masked_all
numpy.ma.masked_all(shape, dtype=<class 'float'>)[source]- 
    
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 - 
           
Shape of the required MaskedArray.
 - 
           
dtype : dtype, optional - 
           
Data type of the output.
 
Returns: - 
           
a : MaskedArray - 
           
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