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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
- 
      - 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/1.19/reference/generated/numpy.ma.masked_all.html