Hi Martin,
Thanks for your response. That's strange that such a "dummy" command would
be necessary.
I was able to answer the second question myself. It is possible to
*retroactively
*change line and axis properties. For the mesh1D example I did the
following:
viewer = Viewer(vars=(phi, phi_analytical), datamin=-6.0, datamax=6.0)
ax = viewer.axes
ax.lines[-1].set_dashes((3.5,3.5,3.5,3.5))
ax.grid()
viewer.plot()
Which seemed to work quite well.
With regards to the third question, I think the terms in the general
conservation equation are explained reasonably well in the fipy docs,
except for the diffusion term. It is unclear what the exponent n and
subscript i represent and how they are related to one another. Is the
exponent an arithmetic exponent? Is i part of a sum? I had trouble
expanding the diffusion term to n>=4.
Regards,
Amine
On Mon, Jan 20, 2020 at 5:23 PM Martinus WERTS <martinus.we...@ens-rennes.fr>
wrote:
> Dear Amine,
>
> Concerning your second question, I think that this a normal (but in this
> case, annoying) feature of the Jupyter notebook.
>
> You might trying adding an extra (dummy) command to the cell, after the
> line in which the Viewer() is instantiated. For example: ``print('Ready')``.
>
> Best,
> Martin
>
> On 20/01/2020 17:01, A A wrote:
>
> Dear All,
>
> I'm just getting back into using fipy after a few months hiatus. I'm
> getting more familiar with how it works, but I have a couple of questions
> about the viewer:
>
> - Is it possible to control linestyle (specifically dashes) of the
> cellVariable objects tied to each specific viewer? I'd like to avoid the
> possibility of superimposing very similar plots and thinking they are the
> same
> - I am primarily using jupyter notebook to practice some basic
> concepts. What I've found is that simply instantiating the viewer in
> interactive mode will generate a plot. This renders a viewer.plot() call
> redundant. When I run the whole notebook in non-interactive mode I get the
> expected behavior, namely one plot with a .plot() call. Am I missing
> something here? Why does viewer instantiation generate a plot in jupyter
> notebook?
>
> Thanks for your help and look forward to your reply.
>
> Regards,
>
> Amine Aboufirass
>
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