CAMELS-AUS from python

This is currently a preview. You can contribute to features and design

Python package to easily load and use the CAMELS-AUS dataset (Fowler, K. J. A. et al. 2020 (in review))

CAMELS-AUS is the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies.

Release notes

• v0.5: support loading more series and catchment attributes.
• v0.4: load minimal series for typical rainfall-runoff modelling

License

BSD-3 (see License)

Source code

The code repository is on GitHub.

Installation

Linux

Using a conda environment is recommended. To create a new environment:

cd ${HOME}/tmp
wget https://raw.githubusercontent.com/csiro-hydroinformatics/camels-aus-py/main/configs/camels_aus_environment.yml
my_env_name=camels
conda env create -n $my_env_name -f ./camels_aus_environment.yml
conda activate $my_env_name 

Then:

pip install camels_aus

If installing from source, after checking out this git repo:

pip install -r requirements.txt # if not using conda
python setup.py install

Developers:

python setup.py develop

optional: setting jupyter-lab

optional but recommended: use mamba as a replacement for conda: conda install -c conda-forge --name ${my_env_name} mamba

mamba install -c conda-forge jupyterlab ipywidgets jupyter ipyleaflet
python -m ipykernel install --user --name ${my_env_name} --display-name "CAMELS"
jupyter-lab .

Troubleshooting

Notebooks

Normally jupyter-lab version 3.0 and more does not require explicit extensions installation, but if you have issues:

if: "Loading widgets..."

jupyter-labextension install @jupyter-widgets/jupyterlab-manager

if: "Error displaying widget: model not found"

jupyter-labextension install @jupyter-widgets/jupyterlab-manager