Hey guys,
I have a question regarding my plot.
<http://matplotlib.1069221.n5.nabble.com/file/n42446/seaice.png>
I want to plot seaice thickness distribution. The data is derived from a
model run using an unstructured grid. To plot data on a map I use
Triangulation and tricontourf. The problem I´m facing now is, that due to
the triangulation my data is interpolated, resulting in an ocean covered by
a thin layer of sea ice everywehere, which is unrealistic! So my question
is, is there a way to limit the interpolation to the maximum extend of my
data? I did a plot with MATLAB just to let you know how it should look like.
<http://matplotlib.1069221.n5.nabble.com/file/n42446/ice_thick_N.jpg>
My code looks like this so far:
triang = tri.Triangulation(x,y)
fig = plt.figure()
plt.tricontourf(triang, ee, levels = levs, extend = 'both')
cbar=plt.colorbar(orientation = 'horizontal', ticks=[0, 1, 2, 3, 4])
cbar.set_label('Seaice thickness [m]', size=20,fontname='Arial')
fc=map.fillcontinents(color = 'grey')
Since I´m a beginner I would really appreciate any thoughts and suggestions!
Thanks!
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