Hi
I'm a bit ashamed that Aaron gave better introduction than me for my own
code :)
Anyway, I think the documentation of Plot and the module is quite detailed
so you can look also at help(Plot) and help(newplot).
About the warnings - my idea was to structure the base backend class in
such a way that any missing functionality in the backend subclass will just
raise a warning but not an error (unless it is some essential
functionality). So those will be addressed later.
It can plot Integrals (due to an old addition done to lambdify thanks to
Certik) but not Sums or anything fancy like product of Kets and Bras. To do
those a more in depth refactoring of lambda will be needed as Certik's
method for adding Integral to lambdify does not scale well. I think this is
an important problem.
Discontinuous functions may pose problems for the moment (none seen for the
moment, but this is mostly by chance).
About the bug in matplotlib - Aaron, you said that you will make a pull
request for them. Should I do something or you have already taken care of
this.
I'll start writing tests for the module in the near future. Then the core
devs should tell me if this code is going in and how.
About the '3d' string - you are right it's a bad default. It's just that
contour was written first, but I'll change this now.
Finally - I was squashing and rebasing this pull request quite a bit. Now
as it's getting more attention I'll stop doing it, so you are free to make
changes if you are interested.
On 11 November 2011 21:41, Aaron Meurer <asmeu...@gmail.com> wrote:
> Oh, I forgot to mention that I got the following warnings:
>
> In [6]: p = Plot(Heaviside(x)*(1 - x)*sin(y), (x, -1, 1), (y, -pi, pi))
>
> In [7]: p.show()
> /sw/lib/python2.7/site-packages/matplotlib/axes.py:4368: UserWarning:
> No labeled objects found. Use label='...' kwarg on individual plots.
> warnings.warn("No labeled objects found. "
>
> In [8]: p = Plot(Heaviside(x)*(1 - x)*sin(y), (x, -1, 1), (y, -pi, pi),
> '3d')
>
> In [9]: p.show()
>
> /Users/aaronmeurer/Documents/python/sympy/sympy/sympy/plotting/newplot.py:901:
> UserWarning: xscale is not supported in 3D matplotlib backend.
> warnings.warn('xscale is not supported in 3D matplotlib backend.')
>
> /Users/aaronmeurer/Documents/python/sympy/sympy/sympy/plotting/newplot.py:879:
> UserWarning: axis_center is not supported in 3D matplotlib backend.
> warnings.warn('axis_center is not supported in 3D matplotlib backend.')
>
> /Users/aaronmeurer/Documents/python/sympy/sympy/sympy/plotting/newplot.py:895:
> UserWarning: xscale is not supported in 3D matplotlib backend.
> warnings.warn('xscale is not supported in 3D matplotlib backend.')
>
> Aaron Meurer
>
> On Fri, Nov 11, 2011 at 1:39 PM, Aaron Meurer <asmeu...@gmail.com> wrote:
> > Hi.
> >
> > This looks great. For others, to run the examples, download the
> > examples script and put in the sympy directory. Then, checkout
> > Krastanov's branch (from the pull request). Then, run IPython, and
> > type %run examples.py. And then type p0.show(), p1.show(), etc. (up
> > to p4).
> >
> > And if you just want to test the plotting of your own functions in
> > isympy, you have to run "from sympy.plotting.newplot import *", or
> > else it will use the old plotting. The syntax is
> >
> > In [8]: p = Plot(Heaviside(x)*(1 - x)*sin(y), (x, -1, 1), (y, -pi, pi),
> '3d')
> >
> > In [9]: p.show()
> >
> > (if you don't add '3d' in this case, it will default to a contour
> > plot, which btw is maybe not the best default)
> >
> > Aaron Meurer
> >
> > On Fri, Nov 11, 2011 at 7:46 AM, krastanov.ste...@gmail.com
> > <krastanov.ste...@gmail.com> wrote:
> >> The proposal that I made in https://github.com/sympy/sympy/pull/673may or
> >> may not became part of sympy but I like it and it's already quite
> useful for
> >> me.
> >>
> >> Here are some examples. I would like to know what do you think. The 3d
> stuff
> >> runs only on the latest version of matplotlib _after_ fixing a bug
> >> (mentioned in the commit history, but those will be squashed soon).
> >
> > I didn't have any problems with it, though you do seem to have found a
> > bug in matplotlib. I would submit a pull request to them fixing it.
> >
> > Aaron Meurer
> >
> >>
> >> The script to produce them is also attached (as the api is probably more
> >> important than the visuals (the _series[index] stuff is just a
> workaround
> >> until getters are written)).
> >>
> >> Regards
> >> Stefan
> >>
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> >
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