Hi, On Fri, Aug 27, 2010 at 06:43:26PM -0600, Charles R Harris wrote: > On Fri, Aug 27, 2010 at 2:47 PM, Robert Kern <robert.k...@gmail.com> > wrote: > > On Fri, Aug 27, 2010 at 15:32, David Huard <david.hu...@gmail.com> > wrote: > > Nils and Joseph, > > Thanks for the bug report, this is now fixed in SVN (r8672). > > While we're at it, can we change the name of the argument? "normed" > has caused so much confusion over the years. We could deprecate > normed=True in favor of pdf=True or density=True. I think it might be a good moment to also include a different type of normalization: n = n / n.sum() i.e. the frequency of counts in each bin. This one is of course very simple to calculate by hand, but very common. I think it would be useful to have this normalization available too. [http://www.itl.nist.gov/div898/handbook/eda/section3/histogra.htm]
At the same time, 'normed' could be changed to 'normalized', I think that this is the standard spelling. The new API could be histogram(a, bins=10, range=None, normed=False, # deprecated normalized=None, # new weights=None) and one would pass normalized='density' to get the current behaviour of normed=True, and normalized='frequency' to get the behaviour described above. Best, Zbyszek > > We may even want to consider leaving the normed=True implementation > alone with just the deprecation warning. While the behavior is > incorrect, it is also very long-standing and something that people > might simply have coded around. Changing the behavior without > deprecation might break their workarounds silently. I admit it's a bit > of a stretch, but conservativeness and coupled with the opportunity to > make a desirable name change make this more attractive. > > I think that's a good approach. One possibility is do have density > override normed, something like > > if density is not None: > flowers and unicorns > else: > same old same old > > Chuck _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion