A way to compute a 2d histogram
David Huard
david.huard at gmail.com
Tue Nov 14 09:53:27 EST 2006
2006/11/14, Xavier Gnata <gnata at obs.univ-lyon1.fr>:
>
> Hi,
>
> IFAICS these new histograms versions have not yet been merged to svn.
> Are they problems to be solve before to be able to merge them?
> How could we help?
No, I'm just overloaded with other stuff, I'll submit a patch on Trac today
or tomorrow. Up to now, Travis did the merges, but since he looks pretty
busy right now, I don't know when it'll show up on svn.
David
Xavier
>
> > Hi,
> >
> > Your histograms functions look fine for me :)
> > As it is a quite usual operation on an array, I would suggest to put
> > it in numpy as numpy.histogram. IMHO, there is no point to create an
> > numpy.stats only for histograms (or do you have plans to move other
> > stats related function to numpy.stats?)
> >
> > Xavier.
> >
> >
> >> Nicolas, thanks for the bug report, I fooled around with argument
> >> passing and should have checked every case.
> >>
> >> You'll find the histogram function that deals with weights on the
> >> numpy trac ticket 189, <
> http://projects.scipy.org/scipy/numpy/ticket/189>
> >> I'm waiting for some hints as to where the histogram function should
> >> reside (numpy.histogram, numpy.stats.histogram, ...) before submitting
> >> a patch .
> >>
> >> Salut,
> >> David
> >>
> >>
> >> 2006/10/25, Nicolas Champavert <nicolas.champavert at obs.univ-lyon1.fr
> >> <mailto:nicolas.champavert at obs.univ-lyon1.fr>>:
> >>
> >> Hi,
> >>
> >> it would be great if you could add the weight option in the 1D
> >> histogram too.
> >>
> >> Nicolas
> >>
> >> David Huard a écrit :
> >> > Xavier,
> >> > Here is the patch against svn. Please report any bug. I haven't
> had
> >> > the time to test it extensively, something that should be done
> >> before
> >> > commiting the patch to the repo. I'd appreciate your feedback.
> >> >
> >> > David
> >> >
> >> > 2006/10/24, David Huard < david.huard at gmail.com
> >> <mailto:david.huard at gmail.com>
> >> > <mailto:david.huard at gmail.com <mailto:david.huard at gmail.com>>>:
> >> >
> >> > Hi Xavier,
> >> >
> >> > You could tweak histogram2d to do what you want, or you
> >> could give
> >> > me a couple of days and I'll do it and let you know. If you
> want
> >> > to help, you could write a test using your particular
> >> application
> >> > and data.
> >> >
> >> > David
> >> >
> >> >
> >> > 2006/10/24, Xavier Gnata < gnata at obs.univ-lyon1.fr
> >> <mailto:gnata at obs.univ-lyon1.fr>
> >> > <mailto:gnata at obs.univ-lyon1.fr
> >> <mailto:gnata at obs.univ-lyon1.fr>>>:
> >> >
> >> > Hi,
> >> >
> >> > I have a set of 3 1D large arrays.
> >> > The first 2 one stand for the coordinates of particules
> and
> >> > the last one
> >> > for their masses.
> >> > I would like to be able to plot this data ie to compute
> >> a 2D
> >> > histogram
> >> > summing the masses in each bin.
> >> > I cannot find a way to do that without any loop on the
> >> indices
> >> > resulting
> >> > too a very slow function.
> >> >
> >> > I'm looking for an elegant way to do that with numpy (or
> >> > scipy??) function.
> >> >
> >> > For instance, scipy.histogram2d cannot do the job because
> it
> >> > only counts
> >> > the number of samples in each bin.
> >> > There is no way to deal with weights.
> >> >
> >> > Xavier.
> >> >
> >> >
> >> > --
> >> > ############################################
> >> > Xavier Gnata
> >> > CRAL - Observatoire de Lyon
> >> > 9, avenue Charles André
> >> > 69561 Saint Genis Laval cedex
> >> > Phone: +33 4 78 86 85 28
> >> > Fax: +33 4 78 86 83 86
> >> > E-mail: gnata at obs.univ-lyon1.fr
> >> <mailto:gnata at obs.univ-lyon1.fr> <mailto:gnata at obs.univ-lyon1.fr
> >> <mailto:gnata at obs.univ-lyon1.fr>>
> >> > ############################################
> >> >
> >> >
> >> >
> >>
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>
> --
> ############################################
> Xavier Gnata
> CRAL - Observatoire de Lyon
> 9, avenue Charles André
> 69561 Saint Genis Laval cedex
> Phone: +33 4 78 86 85 28
> Fax: +33 4 78 86 83 86
> E-mail: gnata at obs.univ-lyon1.fr
> ############################################
>
>
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