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# Data Grid | ||
# Table Viewer | ||
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All [Tables.jl](https://github.com/JuliaData/Tables.jl)-compatible tables (and more!) can be displayed in the integrated table viewer. | ||
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You can use the exported `vscodedisplay` function to display an object directly or use the `Open in VS Code` button in the workspace: | ||
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![table viewer](../images/table.png) | ||
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`vscodedisplay` also takes an optional second argument that allows setting the tab title. | ||
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Tables can be filtered and sorted in the UI, although that may be slow for medium sized tables and is disabled for big tables (with more than 1e7 elements). | ||
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Note that not-big tables (by the above definition) are cached. As such, changes to the original data structure won't be reflected in the table viewer until you display the table again. | ||
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A slightly hidden feature is that you can select rows and copy them into the clipboard with Ctrl-C or the context menu. Note that this will be slow when many rows are selected. |
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# Linter | ||
# Linting and Diagnostics | ||
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All Julia code in the workspace is statically linted. You can disable that feature with the `julia.lint.run` setting or configure it via various options with the `julia.lint.` prefix. | ||
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## Runtime diagnostics | ||
Packages like [JET.jl](https://github.com/aviatesk/JET.jl) can analyze code at runtime (for some defintion of "runtime"): | ||
![jet](../images/jet.png) | ||
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You can opt out of this feature with the `julia.showRuntimeDiagnostics` setting. Use `Julia: Clear Runtime Diagnostics` or `Julia: Clear Runtime Diagnostics by Provider` to clear the displayed diagnostics. | ||
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Package authors who want to use this feature can simply implement a type that supports the `application/vnd.julia-vscode.diagnostics` MIME type. Check `VSCodeServer.DIAGNOSTIC_MIME` in a the integrated Julia REPL for more information on the API. |
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