Well, if I can cast a vote, it would make a lot of sense if pylab functions
do the same thing as numpy functions. Right now it is exceedingly confusing
when I teach, that zeros() could be integers or floats. An rc parameter
where we would import straight from numpy would be most excellent. Can't
Thanks for the explanations,
On 4/24/07, Eric Firing <efiring@...> wrote:
> Gary Ruben wrote:
> > Hi Mark,
> > this thread may help:
> > Essentially, pylab uses a compatibility layer to ease the task of
> > supporting the three array packages - currently this uses the Numeric
> > version of the ones and zeros functions giving the behaviour you observe
> > - this will be fixed when pylab drops support for the older packages,
> > which should be soon.
> What we will do is drop the use of numerix internally, but the numerix
> module will almost certainly remain, presumably with the Numeric and
> numarray support removed; so numerix will still use numpy's own
> "oldnumeric" compatibility layer, and I expect pylab will still import
> from it--at least, by default. The intention is to avoid breaking
> things unnecessarily. I can imagine possible variations, such as using
> an rc param to tell pylab whether to import from plain numpy or from
> oldnumeric, and splitting pylab into core pylab functions (figure, show,
> etc.) versus the convenience all-in-one namespace (mostly from numpy);
> but we will take one step at a time.
> > Gary R.
> > Mark Bakker wrote:
> >> Hello list -
> >> I am confused about the part of numpy that pylab imports.
> >> Apparently, pylab imports 'zeros', but not the 'zeros' from numpy, as
> >> returns integers by default, rather than floats.
> >> The same holds for 'ones' and 'empty'.
> >> Example:
> >> >>> from pylab import *
> >> >>> zeros(3)
> >> array([0, 0, 0])
> >> >>> from numpy import *
> >> >>> zeros(3)
> >> array([ 0., 0., 0.])
> >> Can this be fixed? Any explanation how this happens? Pylab just imports
> >> part of numpy, doesn't it?
> >> Thanks,
> >> Mark
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