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- Explaining xarray in a single picture · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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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 |
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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 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 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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