On Mon, Nov 11, 2013 at 4:30 PM, Richard Gillilan <[email protected]> wrote:
> I'm rather new to FiPY too, but my impression is that viewers in FiPy are
> very basic ... really intended only for monitoring results during
> computation. So they don't have any real ability to customize. I'd love to
> learn otherwise.
In a sense that is a true. However you can subclass the viewer. You can
also get the matplotlib axis from the viewer and customize that way.
>>> import fipy as fp
>>> vi = fp.Viewer(fp.CellVariable(mesh=fp.Grid1D(nx=10), value =
np.arange(10)))
>>> vi.axes.set_title("Something")
>>> vi.axes.set_xlabel("Blah")
>>> vi.plot()
--
Daniel Wheeler
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