Mailman 3 August 2009 - SciPy-Dev

Re: [SciPy-dev] summer marathon skypecon this week?
by David Goldsmith 10 Aug '09

10 Aug '09

Whoops, didn't mean that to go to the whole list - sorry. DG --- On Mon, 8/10/09, David Goldsmith <d_l_goldsmith(a)yahoo.com> wrote: > From: David Goldsmith <d_l_goldsmith(a)yahoo.com> > Subject: Re: [SciPy-dev] summer marathon skypecon this week? > To: "SciPy Developers List" <scipy-dev(a)scipy.org> > Date: Monday, August 10, 2009, 9:23 PM > OK, thanks, Ralf. > > DG > > --- On Mon, 8/10/09, Ralf Gommers <ralf.gommers(a)googlemail.com> > wrote: > > > From: Ralf Gommers <ralf.gommers(a)googlemail.com> > > Subject: Re: [SciPy-dev] summer marathon skypecon this > week? > > To: "SciPy Developers List" <scipy-dev(a)scipy.org> > > Date: Monday, August 10, 2009, 7:38 PM > > That would work for me. > > > > Ralf > > > > > > On Mon, Aug 10, 2009 at 3:45 PM, > > David Goldsmith <d_l_goldsmith(a)yahoo.com> > > wrote: > > > > Wed. 16:00 UTC has been suggested - > > if there's even interest; how does this suit people? > > > > > > > > > > DG > > > > > > > > > > > > > > > > _______________________________________________ > > > > Scipy-dev mailing list > > > > Scipy-dev(a)scipy.org > > > > http://mail.scipy.org/mailman/listinfo/scipy-dev > > > > > > > > > > -----Inline Attachment Follows----- > > > > _______________________________________________ > > Scipy-dev mailing list > > Scipy-dev(a)scipy.org > > http://mail.scipy.org/mailman/listinfo/scipy-dev > > > > > > _______________________________________________ > Scipy-dev mailing list > Scipy-dev(a)scipy.org > http://mail.scipy.org/mailman/listinfo/scipy-dev >

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Re: [SciPy-dev] summer marathon skypecon this week?
by David Goldsmith 10 Aug '09

10 Aug '09

OK, thanks, Ralf. DG --- On Mon, 8/10/09, Ralf Gommers <ralf.gommers(a)googlemail.com> wrote: > From: Ralf Gommers <ralf.gommers(a)googlemail.com> > Subject: Re: [SciPy-dev] summer marathon skypecon this week? > To: "SciPy Developers List" <scipy-dev(a)scipy.org> > Date: Monday, August 10, 2009, 7:38 PM > That would work for me. > > Ralf > > > On Mon, Aug 10, 2009 at 3:45 PM, > David Goldsmith <d_l_goldsmith(a)yahoo.com> > wrote: > > Wed. 16:00 UTC has been suggested - > if there's even interest; how does this suit people? > > > > > DG > > > > > > > > _______________________________________________ > > Scipy-dev mailing list > > Scipy-dev(a)scipy.org > > http://mail.scipy.org/mailman/listinfo/scipy-dev > > > > > -----Inline Attachment Follows----- > > _______________________________________________ > Scipy-dev mailing list > Scipy-dev(a)scipy.org > http://mail.scipy.org/mailman/listinfo/scipy-dev >

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summer marathon skypecon this week?
by David Goldsmith 10 Aug '09

10 Aug '09

Wed. 16:00 UTC has been suggested - if there's even interest; how does this suit people? DG

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Last numpy required for scipy
by David Cournapeau 07 Aug '09

07 Aug '09

Hi, While fixing the neighborhood iterators, I once again broke the trunk API - so for last scipy trunk (r5893), you need last numpy (r7297). Hopefully, this will be the last time this is needed, sorry for the inconvenience, cheers, David

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stats.distributions.poisson loc parameter : is it wise ?
by Pierre GM 06 Aug '09

06 Aug '09

All, Consider the poisson distribution in stats.distributions: it requires a mandatory argument, `mu`, as the mean/variance of the distribution. All is fine, but the `loc` parameter is still available, and that's my problem. When `loc` is not 0, the mean becomes `mu+loc`, `.cdf(range(loc))==0`, but the variance stays `mu`. That's a bit confusing. I thought I could use `loc` as a way to control truncation, but that doesn't seem to work either: emulating zero-truncation by using `loc=1` gives a distribution with a mean `mu+1` when is should be `mu/ (1-exp(-mu))` (the exact expression for zero-truncation). In short, I don't really see any advantage in having a location parameter for the Poisson distribution. AAMOF, for any discrete distribution. I suggest we would implement some mechanism to force loc to 0 while outputting a warning. Any comment ? P.

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Two Marathon questions
by David Goldsmith 06 Aug '09

06 Aug '09

0) Are there any Category Leaders who do *not* want help finishing their categories? 1) Is there anyone "in-the-know" who feels that reading "numpy-docs/reference/routines.ma.rst" (as it is now) is *insufficient* preparation for assisting w/ the Masked Array docstrings; or, put another way, feels that if one is not at least "well-practiced" using masked arrays, then one should not touch their docstrings? But for the masked array categories and the uncategorized docstrings, we're pretty close! DG

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On scipy/numpy documentation, and executing code in docstrings
by Emmanuelle Gouillart 05 Aug '09

05 Aug '09

Hello list, disclaimer: I don't have much hindsight about what I'm talking about in the following, so I apologize if it doesn't make much sense... My question is: is there some way (apart from copy-and-paste :D) to execute some of the code inside docstrings, in order e.g. to generate pylab plots? This may be a useful feature for the documentation of scipy: indeed, a plot may speak for itself better than long explanations about the output of scipy's algorithms. Some docstrings already include calls to plotting commands (one example: http://docs.scipy.org/scipy/docs/scipy.stats.distributions.poisson/), but of course, the plots are not created while viewing the help. Maybe it's a stupid idea, but I'm thinking about a %demo magic function in Ipython that would print the docstring of an object and execute the code of the docstring (preferably in a separate namespace) and, in particular, display pylab's windows. Does such a feature already exist somewhere? If not, do you see any interest in coding it? Matplotlib and Mayavi2 call special demo functions and it would be possible to do the same for scipy, but on the other side, using directly the docstrings for demos might be just as well... Regards, Emmanuelle

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numpy.broadcast
by David Goldsmith 05 Aug '09

05 Aug '09

I guess I don't really understand this too well - is the below correct behavior, and if so, why? >>> x = np.array([1, 2, 3]) >>> y = np.array([[4], [5], [6]]) >>> b = np.broadcast(x, y) >>> b.nd # returns what I'd expect 2 >>> b = np.broadcast(x, y, x, y) >>> b.nd # doesn't return what I'd expect 2 >>> del b # maybe problem is that I have to "clear" b first? >>> # or maybe it's that all args have to be different? ... >>> b = np.broadcast(x, y, x * y) >>> b.nd 2 >>> z = x * y # grasping at straws now >>> z array([[ 4, 8, 12], [ 5, 10, 15], [ 6, 12, 18]]) >>> x array([1, 2, 3]) >>> y array([[4], [5], [6]]) >>> del b # trying everything to get intuitive behavior >>> b = np.broadcast(x, y, z) >>> b.nd 2 Huhn? DG

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Skypecon aborted due to host's technical difficulties
by David Goldsmith 05 Aug '09

05 Aug '09

Oooops: main computer stolen last week; thought replacement (my previous computer, borrowed back from my son) had built in mike, but doesn't appear to; only Ralf called in anyway, so we've opted to reschedule (or just cancel, picking-up again next week.) If we have it at a different time this week, can more people "make it"? If so, when's good for people? DG

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Hour 'til Skypecon.
by David Goldsmith 05 Aug '09

05 Aug '09

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