June 25, 2007
11:28 a.m.
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>