Install using conda¶
xarray-simlab can be installed or updated using conda:
$ conda install xarray-simlab -c conda-forge
This installs xarray-simlab and all common dependencies, including numpy and xarray.
xarray-simlab conda package is maintained on the conda-forge channel.
Install using pip¶
You can also install xarray-simlab and its required dependencies using
$ pip install xarray-simlab
Install from source¶
To install xarray-simlab from source, be sure you have the required dependencies (numpy and xarray) installed first. You might consider using conda to install them:
$ conda install attrs xarray numpy pip -c conda-forge
A good practice (especially for development purpose) is to install the packages in a separate environment, e.g. using conda:
$ conda create -n simlab_py36 python=3.6 attrs xarray numpy pip -c conda-forge $ source activate simlab_py36
Then you can clone the xarray-simlab git repository and install it
$ git clone https://github.com/benbovy/xarray-simlab $ cd xarray-simlab $ pip install .
For development purpose, use the following command:
$ pip install -e .
To make sure that xarray-simlab is correctly installed, try to import it by running this line:
$ python -c "import xsimlab"