On 10 January 2012 22:25, Robert <[email protected]> wrote:

> Thanks for all the responses,
> you bring up a good argument about some of the additional
> complications of simplifcation depending on some of the potential
> factors of the Symbol. I appreciate your thoughtfullness on this
> response.
>
>
> on a similar note what is the best way to replace an expression that
> has 1.0s everywhere
>
nsimpify is there for exactly this reason. It finds floats that could be
represented better by rationals and substitutes them. Probably there are
some similar but more fine-tuned functions in sympy but I don't know them.

>
> In [36]: print 1.0*a**1.0
> 1.0*a**1.0
>
> this seems to be the simplest:
>
> In [37]: print (1.0*a**1.0).subs(1.0, 1)
> a
>
as you already said this will work only with 1.0, but not with 2.0

>
>
> On Jan 10, 2:41 pm, "Alexey U. Gudchenko" <[email protected]> wrote:
> > 11.01.2012 00:27, [email protected] пишет:
> >
> > > On the other hand I don't know why a**2.0/a is not a**1.0. This seems
> like
> > > a bug...
> >
> > However, the 'simplify' works for this case:
> >
> > In [3]: simplify(a**2.0/a)
> > Out[3]: a**1.0
> >
> > Remarks:
> > We implicitly assume that a<>0 during this simplification.
> >
> > If e.g.
> >
> > >>> a = Symbol('a', positive=True)  # then 'a' became to be 'real' too
> >
> > then this simplification can be automatic, I think. At least I have no
> > objection to add the last case to the issue tracker.
> >
> > --
> > Alexey U.
>
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