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.. highlight:: shell
============
Installation
============
Stable release
--------------
1. Use pip to install package from `PyPI <https://pypi.org/project/rioxarray/>`__:
.. code-block:: bash
pip install rioxarray
2. Use `conda <https://conda.io/en/latest/>`__ with the `conda-forge <https://conda-forge.org/>`__ channel:
.. code-block:: bash
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 <http://github.com/conda-forge/rioxarray-feedstock>`__
.. 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."
-- https://conda-forge.org/docs/user/tipsandtricks.html
.. 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`_.
.. code-block:: bash
python -m pip install git+git://github.com/corteva/rioxarray.git#egg=rioxarray
To install for local development:
.. code-block:: bash
git clone git@github.com:corteva/rioxarray.git
cd rioxarray
python -m pip install -e .[dev]
.. _GitHub repo: https://github.com/corteva/rioxarray
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