Article: Exploring Scientific Data Files in VS Code with Xarray#821
Article: Exploring Scientific Data Files in VS Code with Xarray#821etienneschalk wants to merge 2 commits intoxarray-contrib:mainfrom
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hi @etienneschalk I am going to close and immediately re-open this in order to refresh the build so i can read this for review. |
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that did not work. when you have a chance would you mind rebasing. that will solve the merge conflict and make the build render so we can look at this the way it was meant to be read |
ianhi
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ianhi
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Hi @etienneschalk over all this reads nicely and is a neat looking tool! It makes me wish it was available on even more platforms, including my beloved juptyerlab :)
Some minor comments:
- some of screenshots seem to use an older version
0.3.0this is fine if the UI hasn't changed much, but thought i'd point it out - update the date please
- You can write the table in markdown instead of HTML if you prefer
- Can you update the banner on the main page. Code here:
xarray.dev/src/components/layout.js
Lines 16 to 23 in 5f44c00
it might be nice to include a small picture up towards the top - it could help the tldr hit a little harder, but not neceessary. Or you can rmeove the TLDR. the problem statement is already quite compelling.
Formats
This is fairly geo focused. does it work well with data from another field (e.g. an ome-zarr? https://idr.github.io/ome-ngff-samples/
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| ## Limitations and Future Work | ||
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| The extension is designed for **inspection, not analysis**. It's intentionally lightweight: you won't find sophisticated slicing, aggregation, or data manipulation features here. For that, using a proper notebook or script remain the best option. |
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| The extension is designed for **inspection, not analysis**. It's intentionally lightweight: you won't find sophisticated slicing, aggregation, or data manipulation features here. For that, using a proper notebook or script remain the best option. | |
| The extension is designed for **inspection, not analysis**. It's intentionally lightweight: you won't find sophisticated slicing, aggregation, or data manipulation features here. For that, using a proper notebook or script remains the best option. |
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Following the comment pydata/xarray#10825 (comment) from @dcherian, I took the opportunity and wrote a blog article presenting the VS Code extension I created, Scientific Data Viewer.
I tried to keep it concise, present what the extension can, but also cannot do, not to oversell it.
Disclaimer: generative AI was used to help me write this article ; english is not my native language. Please feel free to tell me if any sentence can be improved!