getmaskarray(a)

This docstring was copied from numpy.ma.getmaskarray.

Some inconsistencies with the Dask version may exist.

Return the mask of :None:None:`arr` as an ndarray if :None:None:`arr` is a :None:None:`MaskedArray` and the mask is not :None:None:`nomask`, else return a full boolean array of False of the same shape as :None:None:`arr`.

Parameters

arr : array_like (Not supported in Dask)

Input :None:None:`MaskedArray` for which the mask is required.

Return the mask of a masked array, or full boolean array of False.

See Also

getdata

Return the data of a masked array as an ndarray.

getmask

Return the mask of a masked array, or nomask.

Examples

This example is valid syntax, but we were not able to check execution

>>> import numpy.ma as ma  # doctest: +SKIP
... a = ma.masked_equal([[1,2],[3,4]], 2)  # doctest: +SKIP
... a  # doctest: +SKIP
masked_array(
  data=[[1, --],
        [3, 4]],
  mask=[[False,  True],
        [False, False]],
  fill_value=2)

This example is valid syntax, but we were not able to check execution

>>> ma.getmaskarray(a)  # doctest: +SKIP
array([[False,  True],
       [False, False]])

Result when mask == nomask

This example is valid syntax, but we were not able to check execution

>>> b = ma.masked_array([[1,2],[3,4]])  # doctest: +SKIP
... b  # doctest: +SKIP
masked_array(
  data=[[1, 2],
        [3, 4]],
  mask=False,
  fill_value=999999)

This example is valid syntax, but we were not able to check execution

>>> ma.getmaskarray(b)  # doctest: +SKIP
array([[False, False],
       [False, False]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.ma.getdata dask.array.ma.getmaskarray

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