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  • description of xarray assumes knowledge of pandas · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
467568194 https://github.com/pydata/xarray/issues/1282#issuecomment-467568194 https://api.github.com/repos/pydata/xarray/issues/1282 MDEyOklzc3VlQ29tbWVudDQ2NzU2ODE5NA== rabernat 1197350 2019-02-26T19:01:46Z 2019-02-26T19:01:46Z MEMBER

Closed by #2430 #2657.

 
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   description of xarray assumes knowledge of pandas 209561985
467564245 https://github.com/pydata/xarray/issues/1282#issuecomment-467564245 https://api.github.com/repos/pydata/xarray/issues/1282 MDEyOklzc3VlQ29tbWVudDQ2NzU2NDI0NQ== stale[bot] 26384082 2019-02-26T18:51:16Z 2019-02-26T18:51:16Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the stale label; otherwise it will be marked as closed automatically

 
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   description of xarray assumes knowledge of pandas 209561985
285925097 https://github.com/pydata/xarray/issues/1282#issuecomment-285925097 https://api.github.com/repos/pydata/xarray/issues/1282 MDEyOklzc3VlQ29tbWVudDI4NTkyNTA5Nw== byersiiasa 17701232 2017-03-12T06:18:37Z 2017-03-12T06:18:37Z NONE

I agree as I was in this situation of jumping straight into xarray (and Python) having never used pandas. As for other key points that could be emphasised:

  • , the concept of label-based indexing was new to me and may be something you may want to add more emphasis on in the Page 1 description? (I see it is already nicely explained in the paper in referecend to np.ndarrays.)
  • the automatic plotting with Matplotlib is super
 
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   description of xarray assumes knowledge of pandas 209561985
281883932 https://github.com/pydata/xarray/issues/1282#issuecomment-281883932 https://api.github.com/repos/pydata/xarray/issues/1282 MDEyOklzc3VlQ29tbWVudDI4MTg4MzkzMg== shoyer 1217238 2017-02-23T03:30:30Z 2017-02-23T03:30:30Z MEMBER

Agreed!

Here's what @jhamman and I wrote in the abstract for our paper on Xarray:

Xarray is an open source project and Python package that provides a toolkit and data structures for N-dimensional labeled arrays. Our approach combines an application programming interface (API) inspired by pandas with the Common Data Model for self-described scientific data. Key features of the Xarray package include label-based indexing and arithmetic, interoperability with the core scientific Python packages (e.g., pandas, NumPy, Matplotlib), out-of-core computation on datasets that don't fit into memory, a wide range of serialization and input/output (I/O) options, and advanced multi-dimensional data manipulation tools such as group-by and resampling. Xarray, as a data model and analytics toolkit, has been widely adopted in the geoscience community but is also used more broadly for multi-dimensional data analysis in physics, machine learning and finance.

Probably something like that first sentence is a better high level description.

 
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   description of xarray assumes knowledge of pandas 209561985

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