Welcome to FiPy, Davide.
The Matplotlib viewers accept a `figaspect` argument, so in your case, you
would write:
viewer = Matplotlib2DViewer(vars=(phi,), figaspect=1.)
On Mar 23, 2020, at 12:26 PM, Davide Cretti
<[email protected]<mailto:[email protected]>> wrote:
Dear developers,
I am new to fipy and at the moment I am trying to implement it for a 2D
convection-diffusion problem. The package is great and rather easy to use.
Nonetheless, I have an issue that might sound trivial to you. The issue regards
the plot of the 2D mesh. When I implement a value for the length of the x-axis
that is much smaller than the value for the length of the y-axis, the viewer
does not scale the axes to obtain a more or less "square" plot, but displays a
very squashed plot instead. I was wondering if you could give me a hand in
solving this problem. I added a simplified version of the code below.
Thanks in advance.
Kind regards,
Davide Cretti
N=100
Lx=0.1
Ly=1
dt=1
steps=1
alpha=1
mesh = Grid2D(dx=Lx/N, dy=Ly/N, nx=N, ny=N)
phi = CellVariable(mesh=mesh, value=1)
eq = TransientTerm() == DiffusionTerm(coeff=alpha)
viewer = Viewer(phi, mesh)
for steps in range(steps):
eq.solve(var = phi, dt=dt)
viewer.plot()
if __name__ == '__main__':
input()
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