Am Montag, 10. Dezember 2007 23:46:17 schrieb Timothy Hochberg: > > TypeError: function takes at least 2 arguments (1 given) > > > > (I could simulate that by passing max = maximum_value_of(a.dtype), if > > that existed, see my other mail.) > > Why not just use minimum or maximum as needed instead of overloading clip?
You mean one of the following? a.clip(min = 10, max = numpy.finfo(a.dtype).max) a.clip(min = 10, max = numpy.iinfo(a.dtype).max) Three reasons: - this is not very concise - it is less efficient than specialized clip variants (not much / too important though) - I would have to discriminate integral and floating point types How is the latter done in numpy? Is there a good reason not to have numpy.rangetraits(sometype) with min/max as in iinfo/finfo? Should I use isinstance(mytype, int)? -- Ciao, / / /--/ / / ANS _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion