On Monday 25 June 2007 14:15:20 Giorgio F. Gilestro wrote: > Thanks. > Actually those I care the most are average and std. > Is there a way to know the number of NaN in an array?
Giorgio, You could use: numpy.isnan(x).sum() But once again <push_product> masked arrays were designed to handle this kind of situation seamlessly. Just create a masked_array masked_array(x, mask=isnan(x)) and use the regular functions/methods on the masked array. </push_product> _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
