Open jypeter opened 7 years ago
Thanks for posting the test script @jypeter
@durack1, I don't think this issue is related to the patterns code. We can look at how markers are handled next.
@jypeter thanks for this! @sankhesh completely agree this is a separate issue, however @jypeter has created some fairly specialised plots in various versions of UV-CDAT and these are perfect "real world" candidates for the test suite. The behavior changes through each version of UV-CDAT is also something useful to be aware of
@sankhesh to make things easier, here's the script deep_ocean_plot_standalone_v2.py.txt
@scottwittenburg please add this as test in your marker PR. deep_ocean_plot_standalone_v2.py.txt
goes with #82
Following @durack1 request in #23 , I have tried to write a self-contained script that produces that produces the figure at the top of https://github.com/UV-CDAT/uvcdat/issues/1080
The script needs the gsw package to run (https://pypi.python.org/pypi/gsw/). I have just done the following in my old versions of CDAT (don't know what people should do for that in conda)
The script, png and pdf outputs are available there: https://files.lsce.ipsl.fr/public.php?service=files&t=81f4d60326e1f3804b93efc05702b480
You'll find below what I get when I run the same script with different versions of CDAT (I do have some quite old versions)
UVCDAT-1.1.0
UVCDAT-1.5.1
UVCDAT-2.1.0
VCDAT-2.8.0
Of course, the output I like best is the one I get from CDAT 1.1.1 ... Ideally, I would like to have the very same plot with any recent (vtk-based) version of CDAT
I guess I have a black png output for 2.1.0 because I'm running vcdat in a virtual machine and vtk/gl based stuff does weird things sometimes (pdf output is OK, but not quite right). I don't have 2.8.0 installed, so a colleague ran it on his Mac
Some thoughts about the 1.1.0 vs 2.8.0