Releases: ACCESS-NRI/ACCESS-Vis
v1.1.0
What's Changed
- Need to enable texture flip, no longer defaults to True by @OKaluza in #48
- Adding documentation to widget classes by @max-anu in #49
- CI does not test for python 3.11 by @max-anu in #51
- bad type hints - axes not axis by @max-anu in #53
- Fixes for headless rendering on gadi, CPU and GPU with latest lv by @OKaluza in #52
- adding a function to plot xarray data onto the earth by @max-anu in #54
- Texture pack by @OKaluza in #56
- plot shapefiles by @max-anu in #55
- plot scalar cross sections by @max-anu in #57
- Mask out NaN to transparent by default in array_to_rgba by @OKaluza in #58
- vector height changable if no alt provided by @max-anu in #59
- Detect and re-download data from old versions by @OKaluza in #60
- Add split vertical exaggeration for topography/bathymetry by @OKaluza in #61
- Fixes by @OKaluza in #62
- adding function to plot a region on entire earth by @max-anu in #64
- Updating crop_img_uv so it wraps around the earth over the 180/-180 line by @max-anu in #65
- Add tracer plotting and some fixes/improvements by @OKaluza in #67
- Testing by @OKaluza in #68
- Adding testing by @max-anu in #69
- Plot region by @max-anu in #70
- Fixing Lonlat Order/etc by @max-anu in #71
- Documentation by @max-anu in #73
Full Changelog: v1.0.4...v1.1.0
Contributors
Assets 2
v1.0.4
Contributors
Assets 2
v1.0.3
Contributors
Assets 2
v1.0.2
What's Changed
- Bump uibcdf/action-build-and-upload-conda-packages from 1.3.0 to 1.4.0 by @dependabot in #35
- Add Widgets by @rbeucher in #38
- Fixes by @OKaluza in #41
Full Changelog: v0.0.10...v1.0.2
Contributors
Assets 2
v1.0.1
v1.0.0
🚀 ACCESS-Vis 1.0.0 is now available!
Visualisation tools for analysing complex data sets, viewing data in context, and communicating research.
ACCESS-Vis 1.0.0 is a Python package for 3D visualisation, designed specifically for researchers working in Jupyter Notebooks. ACCESS-Vis leverages OpenGL capabilities provided through the LaVaVu Python package developed by Owen Kaluza (@OwKal).
ACCESS-Vis aims to offer an efficient and intuitive solution for visualising complex datasets in high-quality 3D and 4D renderings.
ACCESS-Vis is now available to use on Gadi via the Australian Research Environment (ARE). Users can also experiment with it on their local machines by following the installation instructions provided on the ACCESS-Vis GitHub repository. Please note that limitations may apply depending on hardware resources.
Key Features
✅ Interactive 3D and 4D visualisation for rendering high-quality images and animations directly in Jupyter Notebooks.
✅ Seamless integration with other ACCESS-NRI tools, including data catalogues and evaluation workflows.
✅ Tutorial notebooks to help researchers learn and explore visualisation capabilities in their workflows.
✅ Supports efficient integration with existing Python-based research tools, enhancing accessibility and usability.
✅ Easy 3D Earth globe visualisations, including the position of the sun with respect to the time of year and time of day, powered by orbital information from Astropy.
✅ Animation support for creating dynamic, engaging visualisations.
How to Use
- ARE Access: Use ACCESS-Vis directly through the Australian Research Environment on Gadi.
- Local Machine: Experiment locally by following installation instructions on the ACCESS-Vis GitHub repository.
Training Resources: Explore example notebooks and tutorials in the ACCESS-Visualisation-Recipes repository.
Known Issues / Limitations
Please tag @rbeucher and/or @OKaluza l for questions and support.