This is documentation for an old release of NumPy (version 1.13). Read this page Search for this page in the documentation of the latest stable release (version 2.2).

numpy.ma.getdata

numpy.ma.getdata(a, subok=True)

Return the data of a masked array as an ndarray.

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 subok) if not.

Parameters:

a : array_like

Input MaskedArray, alternatively a ndarray or a subclass thereof.

subok : bool

Whether to force the output to be a pure ndarray (False) or to return a subclass of ndarray if appropriate (True, default).

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

>>> import numpy.ma as ma
>>> a = ma.masked_equal([[1,2],[3,4]], 2)
>>> a
masked_array(data =
 [[1 --]
 [3 4]],
      mask =
 [[False  True]
 [False False]],
      fill_value=999999)
>>> ma.getdata(a)
array([[1, 2],
       [3, 4]])

Equivalently use the MaskedArray data attribute.

>>> a.data
array([[1, 2],
       [3, 4]])