html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/2430#issuecomment-423791617,https://api.github.com/repos/pydata/xarray/issues/2430,423791617,MDEyOklzc3VlQ29tbWVudDQyMzc5MTYxNw==,2443309,2018-09-23T04:44:07Z,2018-09-23T04:44:33Z,MEMBER,"As a reference, we recently wrote some similar prose for xarray's numfocus page:

https://numfocus.org/project/xarray

> Xarray is an open source library providing high-level, easy-to-use data structures and analysis tools for working with multidimensional labeled datasets and arrays in Python.

> Xarray is a Python library that provides data structures and tools for working with multidimensional labeled datasets and arrays. Xarray enables users to perform operations on complex datasets. Xarray interoperates with many of the core libraries in the scientific Python ecosystem making it a powerful high-level tool for data analysis.

> Xarray has been used in a wide variety of academic and industry contexts for applications as varied as weather/climate, computational physics, astronomy, biology, econometrics, machine learning and finance. It is a core component of Pangeo, a community platform for Big Data geoscience.
>
> Examples of results enabled by xarray include:
> 
> modeling the environmental and socioeconomic impacts of climate change
> understanding the life cycle of viruses from single-cell RNA sequencing data
> measuring the speed of galaxies in a telescope survey
> 
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