getdata(a)

This docstring was copied from numpy.ma.getdata.

Some inconsistencies with the Dask version may exist.

Return the data of a (if any) as an ndarray if a is a MaskedArray , else return a as a ndarray or subclass (depending on :None:None:`subok`) if not.

Parameters

a : array_like

Input MaskedArray , alternatively a ndarray or a subclass thereof.

subok : bool (Not supported in Dask)

Whether to force the output to be a :None:None:`pure` ndarray (False) or to return a subclass of ndarray if appropriate (True, default).

Return the data of a masked array as an ndarray.

See Also

getmask

Return the mask of a masked array, or nomask.

getmaskarray

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

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.getdata(a)  # doctest: +SKIP
array([[1, 2],
       [3, 4]])

Equivalently use the MaskedArray :None:None:`data` attribute.

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

>>> a.data  # doctest: +SKIP
array([[1, 2],
       [3, 4]])

See :

Back References

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

dask.array.ma.getmaskarray

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