With this project, we tried to explore N-dimensional meteorological data in an interactive way. We created some interactive visualizations with the help of some strong libraries such as: Panel, xarray, HoloViews and some more. The dependencies and how to install them is shown below. By using the environment.yml, it is possible to set up an conda-environment, in which all requirements are met.
You may also click on this Badge to get access to Binder. Binder sets up an environment without the need of an python-installation. It is possible to explore this project independent of the system!
numpy
conda install -c anaconda numpyxarray
conda install xarray dask netCDF4 bottleneckpandas
conda install pandashvplot
conda install -c pyviz hvplotpanel
conda install -c pyviz paneljupytext shows code differences with jupyter notebook
conda install -c conda-forge jupytextopen jupyter notebook
jupyter notebook