Oh, okay. We usually use standard ndarrays using `np.nan` for masked values (because it's [faster and more memory efficient](http://pandas.pydata.org/pandas-docs/stable/gotchas.html#nan-integer-na-values-and-na-type-promotions)), but I know Iris uses numpy's masked array module in many cases.