I have some numpy array containing data that I would visualize on a 2D grid. Some of the data is unphysical and I would like to mask this data. However, I could not figure o
Here comes the trick. I need to collect the indices of triangles (which are indices into z!), evaluate whether they are good or not and then accept only the triangles for that at least one corner is valid (reducing the dimension from (ntri, 3) to ntri
triang = tr.Triangulation(x, y)
mask = np.all(np.where(isbad[triang.triangles], True, False), axis=1)
triang.set_mask(mask)
colplt = mp.tricontourf(triang, z)
mp.colorbar()
Inspired by this link: http://matplotlib.org/examples/pylab_examples/tripcolor_demo.html