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 dtype parameter 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')