SciPy

numpy.ma.masked_allΒΆ

numpy.ma.masked_all(shape, dtype=<type 'float'>)[source]ΒΆ

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 :

shape : tuple

Shape of the required MaskedArray.

dtype : dtype, optional

Data type of the output.

Returns :

a : MaskedArray

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)

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')

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