masked_all(shape, dtype=<class 'float'>)
Return an empty masked array of the given shape and dtype, where all the data are masked.
A masked array with all data masked.
Empty masked array with all elements masked.
masked_all_like
Empty masked array modelled on an existing array.
>>> 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)See :
... a.dtype dtype('int32')
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.extras.masked_all_like
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