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numpy.ma.masked_all
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
 - 
      
shapetuple- 
        
Shape of the required MaskedArray.
 dtypedtype, optional- 
        
Data type of the output.
 
 - Returns
 - 
      
aMaskedArray- 
        
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, dtype=float64)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://numpy.org/doc/1.20/reference/generated/numpy.ma.masked_all.html