Installation
Stable release
Use pip to install package from PyPI:
pip install rioxarray
Use conda with the conda-forge channel:
conda config --prepend channels conda-forge conda config --set channel_priority strict conda create -n rioxarray_env rioxarray conda activate rioxarray_env
rioxarray conda-forge repository
Note
“… we recommend always installing your packages inside a new environment instead of the base environment from anaconda/miniconda. Using envs make it easier to debug problems with packages and ensure the stability of your root env.”
Warning
Avoid using pip install with a conda environment. If you encounter a python package that isn’t in conda-forge, consider submitting a recipe: https://github.com/conda-forge/staged-recipes/
From source
The source for rioxarray can be installed from the GitHub repo.
python -m pip install git+git://github.com/corteva/rioxarray.git#egg=rioxarray
To install for local development:
git clone git@github.com:corteva/rioxarray.git
cd rioxarray
python -m pip install -e .[dev]