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I've noticed that running JAC and Back Projection algorithm result in ds format which can be overlayed on the mesh as shown below:
Is there anyway to obtain ds in GREIT algorithm in the same format to make plotting it consistent across algorithms? Currently it outputs an n by n array.
The text was updated successfully, but these errors were encountered:
# suppose xg, yg are the grids along x- and y- axis, eit_im is the greit imagexv=xg[0]
yv=yg[:, 0]
eit_im=eit_im.reshape(xg.shape)
ax.pcolorfast(xv, yv, eit_im, cmap=your_cmap)
Sure, it's ok to communicate via the issues, currently, we do not have a forum yet.
Great - that works and should do the trick, although the different format still means different plotting methods need to be used to create a similar plot across algorithms. Perhaps this is unavoidable.
I've noticed that running JAC and Back Projection algorithm result in ds format which can be overlayed on the mesh as shown below:
Is there anyway to obtain ds in GREIT algorithm in the same format to make plotting it consistent across algorithms? Currently it outputs an n by n array.
The text was updated successfully, but these errors were encountered: