Hi there! There's no built-in way to do this with yt, but if I'm following what you want to do, you can do this with a bit of manual work by taking two theta-normal slices and stitching them together manually. The idea is to take one slice at your theta of interest and a second slice at theta + pi, extract the underlying image arrays of both them and then concatenate the two image arrays and plot manually.
I wrote up a jupyter notebook demonstrating one way to do this: https://github.com/chrishavlin/yt_scratch/blob/master/notebooks/general_scratch/cylindrical_theta_norm_slices.ipynb Let me know if that helps! Also, just for reference I've actually been working on a general way of doing this with non-cartesian datasets (https://github.com/yt-project/yt/issues/4750 and https://github.com/yt-project/yt/pull/4847), but I started with spherical coordinates, so it won't help you at present. _______________________________________________ yt-users mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/yt-users.python.org/ Member address: [email protected]
