You can use numpy.isnan(array).sum() -=- Olivier
2011/10/7 Chao YUE <[email protected]> > The data is read from a .mat file. > > 2011/10/7 Chao YUE <[email protected]> > >> Dear all, >> >> I have an ndarray with dimension of 4X62500. is there anyway I can count >> the number of missing value (NaN)? because I want to know how many >> observations are missing? >> >> Thanks for any idea, >> >> 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 >> >> ************************************************************************************ >> >> > > > -- > > *********************************************************************************** > 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 > > ************************************************************************************ > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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