On Dec 11, 2007 2:32 AM, Hans Meine <[EMAIL PROTECTED]> wrote: > 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)
No. I mean: numpy.maximum(a, 10) To correspond to the above example. > > 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 > -- . __ . |-\ . . [EMAIL PROTECTED]
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