2008/6/9 Tommy Grav <[EMAIL PROTECTED]>: > I understand this and agree, but it still means that the API for > histogram is > broken since normed can only be used with the new=True parameter. I > though > the whole point of the future warning was to avoid this. It is not a > big deal, > just means that one is forced to use the new API somewhat quicker :) >
Tommy, you should be able to use normed=True as long as bins edges are not specified explicitly. That is, by setting bins=number_of_bins and range=[bin_min, bin_max], normed should not raise any warning. The case bins=edges_array and normed=True was simply too ugly too fix using the old calling semantic due to this right edge at infinity problem. Also, since there was a bug in histogram for this combination, we thought it just as well to force the switch to the new behavior. Sorry for the inconvenience, David > > Cheers > Tommy > > > > On Jun 9, 2008, at 11:17 AM, Pauli Virtanen wrote: > > > ma, 2008-06-09 kello 11:11 -0400, Tommy Grav kirjoitti: > >> With the most recent change in numpy 1.1 it seems that > >> numpy.histogram > >> was broken when wanting a normalized histogram. I thought the idea > >> was > >> to leave the functionality of histogram as it was in 1.1 and then > >> break the api in 1.2? > > [clip] > >> data, bins = numpy.histogram(a,b,normed=True) > >> Traceback (most recent call last): > >> File "<console>", line 0, in <module> > >> File "/Library/Frameworks/Python.framework/Versions/2.5/lib/ > >> python2.5/site-packages/numpy/lib/function_base.py", line 189, in > >> histogram > >> raise ValueError, 'Use new=True to pass bin edges explicitly.' > >> ValueError: Use new=True to pass bin edges explicitly. > > > > I think the point in this specific change was that numpy.histogram > > previously returned invalid results when normed=True and explicit bins > > were given; the previous code always normalized the results assuming > > the > > bins were of equal size. > > > > Moreover, I think it was not obvious what "normalized" results should > > mean when one of the bins is of infinite size. > > > > Pauli > > > > > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
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