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:

shapeint or tuple of ints: Shape of the required MaskedArray, e.g., (2, 3) or 2.
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')