Determining the minimum value of an array that contains NaN produces a surprising result:
>>> x = numpy.array([0,1,2,numpy.nan,4,5,6]) >>> x.min() 4.0 I expected 0.0. Is this the intended behaviour or a bug? I am using numpy 1.1.1. Thanks, Tom -- Thomas J. Duck <[EMAIL PROTECTED]> Associate Professor, Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada, B3H 3J5. Tel: (902)494-1456 | Fax: (902)494-5191 | Lab: (902)494-3813 Web: http://aolab.phys.dal.ca/ _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
