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  • TomNicholas · 2 ✖

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  • Explaining xarray in a single picture · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1189294740 https://github.com/pydata/xarray/issues/6771#issuecomment-1189294740 https://api.github.com/repos/pydata/xarray/issues/6771 IC_kwDOAMm_X85G4zKU TomNicholas 35968931 2022-07-19T16:21:23Z 2022-07-19T16:21:23Z MEMBER

Whilst trying to use this figure to explain our data model to someone at SciPy I realised that we also need separate versions of this figure for just a DataArray / Variable too, because new users struggle to understand which parts of this diagram are still present in a single DataArray / Variable.

 
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   Explaining xarray in a single picture 1300534066
1180512949 https://github.com/pydata/xarray/issues/6771#issuecomment-1180512949 https://api.github.com/repos/pydata/xarray/issues/6771 IC_kwDOAMm_X85GXTK1 TomNicholas 35968931 2022-07-11T14:53:43Z 2022-07-11T14:53:43Z MEMBER

Hi @alimanfoo, thanks for raising this.

I would've thought that latitude and longitude would be 1-dimensional coordinate variables, yet they are drawn as 2-D arrays?

I think that if you assume that the axes of your grid data align with the cardinal directions (East-West / North-South) then you would expect latitude and longitude to be 1D, but if they don't align then the coordinates would need be 2D (i.e. if x and y are merely arbitrary lines along the Earth's surface).

I agree with you though that 2D lat/lon grids are unnecessarily confusing, especially for non-geoscience users.

I like the second diagram you showed more (it's also a neater version of the labelled one I made here). I think it's debatable whether elevation and land_cover constitute coordinates or data variables, but I have no strong opinion on that.

As for improvements, I think it would be clearer to at least use the second image over the first, and perhaps we could improve it further.

 
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   Explaining xarray in a single picture 1300534066

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