On Jun 28, 2011, at 9:41 PM, Eric Firing wrote: > > One of the real frustrations of the present masked array is that there > is no savez/load support. I could roll my own by using a convention > like saving the mask of xxx as xxx__mask__, and then reversing the > process in a modified load; but I haven't gotten around to doing it. > Regardless of internal implementation, I hope that core support for > missing values will be included in savez/load.
Transform your masked array into a structured one (one field for the data, one for the mask), using the .torecords method, and use it as a regular ndarray. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
