Dear numpy users, I think since long I am confused by if a function works as expected or not for masked array. like np.reshape works for masked array, but not np.sum (I mean, I expect np.sum to drop the masked elements when do summing, of course we have np.ma.sum). So I always use fuctions preceding by np.ma to make sure there is nothing going woring if I expect there will be masked array participating in the calculation in the data process chain.
When I handle masked array, Before I use a function, normally I check if there is an equivalent np.ma function and if there is, I use np.mafunction; Then I check how the documentation says about np.func and np.ma.func and see there is anything mentioned explicitly on the handling of masked array. Howevery, In most cases I will try with simple arrays to test both np.ma.func and np.func before I use some function. but this is sometimes time consuming. Does anyone have similar situation? thanks! Chao -- *********************************************************************************** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 ************************************************************************************
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