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')
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/generated/numpy.ma.masked_all.html