UXarray is built on top of Xarray, so we strongly recommend becoming familiar with Xarray’s installation process and dependencies first.
Installing with Conda (recommended)#UXarray itself is a pure Python package, but its dependencies are not. The easiest way to get everything installed is to use conda. To install UXarray with its recommended dependencies using the conda command line tool:
conda install -c conda-forge uxarray
Note
Conda automatically installs Xarray and every other required dependency (including non‑Python libraries).
Installing with pip#This installs the minimal required dependencies. UXarray also provides optional extras:
pip install "uxarray[dev]" # development tools pip install "uxarray[complete]" # all optional features
A complete list of extras lives in the [project.optional-dependencies] section of our pyproject.toml
Installing from source is intended mainly for developers.
Clone the repo
git clone https://github.com/UXARRAY/uxarray.git cd uxarray
Create a dev environment
A ready-made file is provided at ci/environment.yml:
conda env create -f ci/environment.yml conda activate uxarray_build
Install UXarray
Run the test suite
After installing UXarray, you can verify the installation by running the following in a Python shell or script:
import uxarray as ux print(ux.__version__)
This should print the installed version of UXarray without errors.
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