Thanks, Marshall. I figured it out. My API is really starting to
look good. I have algebra, calculus, DE's, Laplace, and now stats.
Almost as good as WolframAlpha. Ha!
On Jul 1, 10:21 am, Marshall Hampton <hampto...@gmail.com> wrote:
> I'm not sure what you meant; are you saying that Kevin's suggestion
> does not work? I.e. something like:
>
> import scipy.stats as S
> def Mean_(exp1):
> v=[RDF(x) for x in list(exp1)]
> R1=S.mean(v)
> return R1
>
> Which works for me in the following way:
> sage: Mean_('1234')
> 2.5
>
> Seems like you'd want to do some string processing first, like if you
> have a comm-delimited input string, as Robert was saying.
>
> -M. Hampton
>
> On Jul 1, 8:26 am, Mikie <thephantom6...@hotmail.com> wrote:
>
>
>
> > Yes, I am calling one of the functions in scipy, but it will not me to
> > do it. If I use the scipy mean function it works, but not from a
> > created function.
>
> > On Jul 1, 8:21 am, Kevin Horton <khorto...@rogers.com> wrote:
>
> > > On 1 Jul 2009, at 09:56, Mikie wrote:
>
> > > > I have create a function using scipy. Here it is
> > > > Import scipy
> > > > def Mean_(exp1)
> > > > v=list(exp1)
> > > > R1=scipy.stats(v)
> > > > return R1
>
> > > > I have done all this in the notebook and get the same error. 'module'
> > > > obj. is not callable.
>
> > > My docs claim that scipy.stats is a module, not a function. Depending
> > > on what exactly you want to do, you may need to call one of the
> > > functions contained in the scipy.stats module, or you may simply want
> > > the scipy.mean function:
>
> > > def Mean_(exp1):
> > > v=list(exp1)
> > > R1=scipy.mean(v)
> > > return R1
>
> > > I'm no scipy expert, so this comment is worth what you paid for it.
>
> > > --
> > > Kevin Horton
>
> Ottawa, Canada- Hide quoted text -
>
> - Show quoted text -
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