Installation
Step 1: install docker before using pyclmuapp
If you are the Linux OS user, we recommend you to use udocker and then you are no needed to install Docker.
Step 2: create a conda environment
$ conda create -n pyclmuapp python=3.9
$ conda activate pyclmuapp
$ conda install -c conda-forge numpy pandas xarray haversine netcdf4 nc-time-axis
Step 3: install from source
$ git clone https://github.com/envdes/pyclmuapp
$ cd pyclmuapp
$ python setup.py install
test
$ git clone https://github.com/envdes/pyclmuapp
$ cd pyclmuapp/example_data
$ python test.py
(Optional) install using pip
$ pip install pyclmuapp