On 2013/06/15 6:06 AM, Pierre GM wrote: > > On Jun 15, 2013, at 17:35 , Matthew Brett <[email protected]> wrote: > >> Hi, >> >> On Sat, Jun 15, 2013 at 2:51 PM, Sudheer Joseph >> <[email protected]> wrote: >>> >>> Thank you very much for this tip. >>> Is there a typical way to save masked and the rest separately?. Not much >>> familiar with array handling in numpy. >> >> I don't use masked array myself, but it looks like it would be something >> like: >> >> eof1_unmasked = np.array(eof1) >> eof1_mask = eof1.mask >> >> then you could save those two. Maybe a more maskey person could comment? > > Instead of `eof1_unmasked=np.array(eof1)`, you could do `eof1_unmasked = > eof1.data`. The '.data' attribute points to a view of the masked array as a > simple ndarray. > > You may also wanna try `eof1.torecords()` that will return a structured array > with dtype `[('_data',type_of_eof1),('_mask', bool)]`.
For automated saving and restoring, try this: http://currents.soest.hawaii.edu/hgstage/pycurrents/file/686c2802a6c4/file/npzfile.py Eric _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
