numpy.ma.getdata¶
- numpy.ma.getdata(a, subok=True)[source]¶
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]])