Basic Makie.jl support
Closes #164
Demo
using DynamicQuantities, GLMakie
fig = Figure()
y = 60:10:100
scatter(fig[1, 1], y * u"m")
scatter(fig[1, 2], QuantityArray(y, u"m"))
scatter(fig[2, 1], y * u"kg", y * u"m")
scatter(fig[2, 2], y * us"m/s/Hz")
fig
See docs for more examples using Makie's dimension conversion machinery
TODO
- [x] Unit tests, see, e.g., unitful reftests, test/conversions/dim-converts.jl
- [x] Documentation
Future PR(s)?
- Affine units?
- Heatmap and Image support. Maybe with a recipe
- Rich strings (Unitful example)
Benchmark Results
| main | ba44320fa7dfd6... | main / ba44320fa7dfd6... | |
|---|---|---|---|
| Quantity/creation/Quantity(x) | 3.11 ± 0.01 ns | 3.1 ± 0.01 ns | 1 ± 0.0046 |
| Quantity/creation/Quantity(x, length=y) | 3.74 ± 0.01 ns | 3.73 ± 0.01 ns | 1 ± 0.0038 |
| Quantity/with_numbers/*real | 2.79 ± 0.01 ns | 3.11 ± 0.01 ns | 0.9 ± 0.0043 |
| Quantity/with_numbers/^int | 8.37 ± 1.6 ns | 8.68 ± 1.6 ns | 0.964 ± 0.25 |
| Quantity/with_numbers/^int * real | 8.99 ± 1.6 ns | 8.98 ± 1.6 ns | 1 ± 0.25 |
| Quantity/with_quantity/+y | 4.35 ± 0.01 ns | 4.35 ± 0.001 ns | 1 ± 0.0023 |
| Quantity/with_quantity//y | 3.42 ± 0.001 ns | 3.42 ± 0.011 ns | 1 ± 0.0032 |
| Quantity/with_self/dimension | 4.03 ± 0.011 ns | 2.79 ± 0 ns | 1.44 ± 0.0039 |
| Quantity/with_self/inv | 3.12 ± 0.92 ns | 3.11 ± 0.01 ns | 1 ± 0.3 |
| Quantity/with_self/ustrip | 3.11 ± 0.01 ns | 2.79 ± 0.01 ns | 1.11 ± 0.0053 |
| QuantityArray/broadcasting/multi_array_of_quantities | 0.0872 ± 0.00033 ms | 0.0875 ± 0.00034 ms | 0.997 ± 0.0054 |
| QuantityArray/broadcasting/multi_normal_array | 0.0496 ± 0.0019 ms | 0.0477 ± 0.0023 ms | 1.04 ± 0.064 |
| QuantityArray/broadcasting/multi_quantity_array | 0.053 ± 0.00025 ms | 0.0529 ± 0.0028 ms | 1 ± 0.054 |
| QuantityArray/broadcasting/x^2_array_of_quantities | 12.9 ± 1.7 μs | 13.5 ± 1.7 μs | 0.958 ± 0.18 |
| QuantityArray/broadcasting/x^2_normal_array | 1.99 ± 0.37 μs | 2 ± 0.33 μs | 0.995 ± 0.25 |
| QuantityArray/broadcasting/x^2_quantity_array | 3.45 ± 0.12 μs | 3.46 ± 0.091 μs | 0.997 ± 0.044 |
| QuantityArray/broadcasting/x^4_array_of_quantities | 0.0811 ± 0.00029 ms | 0.0813 ± 0.00031 ms | 0.997 ± 0.0052 |
| QuantityArray/broadcasting/x^4_normal_array | 0.0466 ± 0.00012 ms | 0.0466 ± 0.00011 ms | 1 ± 0.0035 |
| QuantityArray/broadcasting/x^4_quantity_array | 0.0467 ± 0.00013 ms | 0.0468 ± 0.0031 ms | 0.998 ± 0.067 |
| time_to_load | 0.195 ± 0.0027 s | 0.196 ± 0.00024 s | 0.993 ± 0.014 |
Benchmark Plots
A plot of the benchmark results have been uploaded as an artifact to the workflow run for this PR. Go to "Actions"->"Benchmark a pull request"->[the most recent run]->"Artifacts" (at the bottom).
Just saw this really cool update from Julius on the AoG side of things!
https://github.com/MakieOrg/AlgebraOfGraphics.jl/pull/619
https://aog.makie.org/v0.9.6/examples/scales/units#units
This also looks to address https://github.com/MakieOrg/Makie.jl/issues/3890 in one fell swoop
Cool!
Let me know (by tagging me) when you're ready for review
Hi @MilesCranmer, I think this should be just about ready for a first pass of reviews now.
The main additions are:
- A
DynamicQuantitiesMakieExt.DQConversionstruct to provide similar functionality to Makie'sUnitfulConversionuntil it can be potentially upstreamed - A units example in the docs based on DynamicQuantities.jl > Toy Examples with Code > 2. Projectile motion
I'm not quite sure yet how I feel about Makie's choice to automatically change non-compound units for folks out from under them, so I kept that bit of machinery out for now. I do see the convenience of it though, it just seems to add a fair bit of complexity that we maybe don't need right now. Instead, this current design favors explicit over implicit unit handling, e.g.,
Unitful example (taken from ReferenceTests)
# Don't swallow units past the first
f, a, p = scatter((1:10) .* u"J/s")
# Don't simplify (assume the user knows better)
scatter(f[1, 2], (1:10) .* u"K", exp.(1:10) .* u"mm/m^2")
# Only change prefixes of simple units, not compound units
scatter(f[2, 1], 10 .^ (1:6) .* u"W/m^2", (1:6) .* 1000 .* u"nm")
# Only change units/prefixes for simple units when adding more plots
scatter(f[2, 2], (0:10) .* u"W/m^2", (0:10) .* u"g")
scatter!((0:10) .* u"kW/m^2", (0:10) .* u"kg")
f
Here the nanometer plot in the bottom left is auto-converted to microns without the user specifying that unit. In contrast:
This PR
using DynamicQuantities, Makie
const DQConversion = Base.get_extension(DynamicQuantities, :DynamicQuantitiesMakieExt).DQConversion
fig = Figure()
ax1 = Axis(fig[1, 1]; dim2_conversion=DQConversion(us"J/s"))
ax2 = Axis(fig[1, 2]; dim2_conversion=DQConversion(us"mm/m^2"))
ax3 = Axis(fig[2, 1]; dim1_conversion=DQConversion(us"W/m^2"), dim2_conversion=DQConversion(us"μm"))
ax4 = Axis(fig[2, 2]; dim1_conversion=DQConversion(us"W/m^2"))
scatter!(ax1, (1:10) .* u"J/s")
scatter!(ax2, (1:10) .* u"K", exp.(1:10) .* u"mm/m^2")
scatter!(ax3, 10 .^ (1:6) .* u"W/m^2", (1:6) .* 1000 .* u"nm")
scatter!(ax4, (0:10) .* u"W/m^2", (0:10) .* u"g")
scatter!(ax4, (0:10) .* u"kW/m^2", (0:10) .* u"kg")
fig
or with the appropriate use of SymbolicDimensions:
fig = Figure()
scatter(fig[1, 1], (1:10) .* us"J/s")
scatter(fig[1, 2], (1:10) .* u"K", exp.(1:10) .* us"mm/m^2")
scatter(fig[2, 1], 10 .^ (1:6) .* us"W/m^2", (1:6) .* 1000 .* u"nm"; axis=(; dim2_conversion=DQConversion(us"μm")))
scatter(fig[2, 2], (0:10) .* u"W/m^2", (0:10) .* u"g"; axis=(; dim1_conversion=DQConversion(us"W/m^2")))
scatter!(fig[2, 2], (0:10) .* u"kW/m^2", (0:10) .* us"kg")
fig
Happy to save that kind of discussion for a separate PR though if it's starting to get too in the weeds for this basic functionality PR. Thanks again for taking a look!
This would be great for a project I'm working on right now. Can it be pushed?
Sure let me review it; sorry i missed the earlier notification. I think I unsubscribed from the thread as it was a draft
Hi @MilesCranmer, haha, I think I missed a notification too, sorry for the delay! Thanks for the comments, I think I have responded to all of them now for your review
One other question: @jkrumbiegel, do you think this functionality should live directly in Makie.jl, or is it better kept as an extension here?
I’m a bit concerned about maintainability if we keep it here, since it relies on internal, non-public APIs of Makie.jl (though it uses the public API of DQ). Typically, in scenarios where an interface primarily relies on the internal details of package A (Makie.jl), but the public API of package B (DQ.jl), it feels safer to have it reside directly within package A as it lives closer to the people who might edit such internals. However, if there are strong objections, I’m fine with keeping it here.
do you think this functionality should live directly in Makie.jl, or is it better kept as an extension here?
Good question, Makie depends directly on Unitful so I'm not sure if we shouldn't add DynamicQuantities as an extension. But I didn't implement unit support so I'll ping @simondanisch here
We're pretty tight on maintenance, so I'd prefer this to stay here. I'm not sure what exactly you mean by non public interface, since on a quick look it seems to overload the interface as documented. To be fair, it may change a bit in the next breaking release, but that may always happen, and we'll try to document & make it as non breaking as possible.
@SimonDanisch If @icweaver is happy to maintain the extension, could we move it into Makie? My main concern is that changes are far more likely on the Makie side than in DQ, so leaving it here risks silent breakage, whereas Makie’s CI would flag issues before release. It would remain an extension – no hard dependency – and we could add @icweaver to CODEOWNERS, meaning no extra maintenance for core Makie. @icweaver – would you be comfortable taking this on?
I'm not sure what you mean by no extra maintenance if our CIs start failing and we can only move on once someone else fixed the failure ;)
To be fair, if DQ is 100% stable, our CI should only fail if we actually change the interface. Still, I'd rather not have more extensions in Makie.jl. There's also the problem, that extensions trigger compilation if any indirect dependency brings in DQ, making Makie compilation take much longer for everyone. So, I think DQ is the right place. We do try to make sure we really only break APIs on a breaking release, so silent breakage shouldn't be as much of an issue.
Hi folks, I just wanted to start by thanking Miles for making, imo, a nice alternative to Unitful, and to the Makie team for putting together such a slick system for pluggable dim conversions
I'm happy to go wherever the code is and to help maintain things to the best of my ability. Thanks all again for your time =]
@SimonDanisch Thanks for clarifying; those are fair concerns. Quickly addressing each:
- Compile time: Definitely important, but here there's no impact. The extension precompiles whenever Makie and DQ coexist, regardless of where the source lives, so moving it wouldn't affect users either way.
- CI complexity: Good point. To avoid overhead, we could easily run these DQ tests separately (e.g., non-blocking CI job or
allow_failure), set up to alert @icweaver directly rather than core Makie.
The reason I'm suggesting Makie is mostly semantic: the extension depends primarily on Makie symbols rather than DQ's API. It feels more natural to keep it alongside those internals (similar to Unitful). That way, repo-wide edits (like renaming M.needs_tick_update_observable) would automatically update this extension, rather than us both discovering such issues after users report them.
If that approach seems reasonable, we can quickly set up a minimal-overhead solution. But I'm happy to defer if you'd still prefer keeping it in DQ; I just wanted to clearly lay out the rationale first.
If neither side currently wants to take on this glue code, one could also just make a package that implements the integration. It would not be as slick because you wouldn't get the benefits automatically with installing Makie and DynamicQuantities, but it's also much lower stakes. It could still be integrated into either DQ or Makie later.
Benchmark Results (Julia v1.10)
Time benchmarks
| main | 6534a36155302d... | main / 6534a36155302d... | |
|---|---|---|---|
| Quantity/creation/Quantity(x) | 2.79 ± 0.01 ns | 3.42 ± 0.01 ns | 0.818 ± 0.0038 |
| Quantity/creation/Quantity(x, length=y) | 3.41 ± 0.01 ns | 3.11 ± 0.01 ns | 1.1 ± 0.0048 |
| Quantity/with_numbers/*real | 3.1 ± 0.01 ns | 3.11 ± 0.01 ns | 1 ± 0.0046 |
| Quantity/with_numbers/^int | 8.05 ± 2.2 ns | 8.05 ± 2.2 ns | 1 ± 0.38 |
| Quantity/with_numbers/^int * real | 8.37 ± 1.9 ns | 8.67 ± 2.5 ns | 0.965 ± 0.35 |
| Quantity/with_quantity/+y | 4.57 ± 0.09 ns | 4.04 ± 0.001 ns | 1.13 ± 0.022 |
| Quantity/with_quantity//y | 3.58 ± 0.07 ns | 3.42 ± 0.01 ns | 1.05 ± 0.021 |
| Quantity/with_self/dimension | 3.1 ± 0.01 ns | 3.11 ± 0.01 ns | 0.997 ± 0.0045 |
| Quantity/with_self/inv | 3.11 ± 0.001 ns | 3.11 ± 0.01 ns | 1 ± 0.0032 |
| Quantity/with_self/ustrip | 2.79 ± 0.92 ns | 2.79 ± 0.01 ns | 1 ± 0.33 |
| QuantityArray/broadcasting/multi_array_of_quantities | 0.14 ± 0.0031 ms | 0.144 ± 0.0029 ms | 0.974 ± 0.029 |
| QuantityArray/broadcasting/multi_normal_array | 0.0528 ± 0.00094 ms | 0.0532 ± 0.0031 ms | 0.992 ± 0.06 |
| QuantityArray/broadcasting/multi_quantity_array | 0.157 ± 0.00098 ms | 0.155 ± 0.0025 ms | 1.01 ± 0.018 |
| QuantityArray/broadcasting/x^2_array_of_quantities | 22.6 ± 1.5 μs | 22.5 ± 1.3 μs | 1 ± 0.09 |
| QuantityArray/broadcasting/x^2_normal_array | 4.23 ± 1.1 μs | 4.18 ± 0.99 μs | 1.01 ± 0.36 |
| QuantityArray/broadcasting/x^2_quantity_array | 6.91 ± 0.21 μs | 6.91 ± 0.26 μs | 1 ± 0.048 |
| QuantityArray/broadcasting/x^4_array_of_quantities | 0.0815 ± 0.00062 ms | 0.0815 ± 0.00053 ms | 1 ± 0.01 |
| QuantityArray/broadcasting/x^4_normal_array | 0.0497 ± 0.00018 ms | 0.0498 ± 0.00017 ms | 1 ± 0.0049 |
| QuantityArray/broadcasting/x^4_quantity_array | 0.053 ± 0.00018 ms | 0.0499 ± 0.00017 ms | 1.06 ± 0.0051 |
| time_to_load | 0.184 ± 0.0002 s | 0.185 ± 0.00055 s | 0.999 ± 0.0031 |
Memory benchmarks
| main | 6534a36155302d... | main / 6534a36155302d... | |
|---|---|---|---|
| Quantity/creation/Quantity(x) | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/creation/Quantity(x, length=y) | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_numbers/*real | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_numbers/^int | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_numbers/^int * real | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_quantity/+y | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_quantity//y | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_self/dimension | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_self/inv | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_self/ustrip | 0 allocs: 0 B | 0 allocs: 0 B | |
| QuantityArray/broadcasting/multi_array_of_quantities | 2 allocs: 0.382 MB | 2 allocs: 0.382 MB | 1 |
| QuantityArray/broadcasting/multi_normal_array | 2 allocs: 0.0763 MB | 2 allocs: 0.0763 MB | 1 |
| QuantityArray/broadcasting/multi_quantity_array | 2 allocs: 0.0763 MB | 2 allocs: 0.0763 MB | 1 |
| QuantityArray/broadcasting/x^2_array_of_quantities | 2 allocs: 0.382 MB | 2 allocs: 0.382 MB | 1 |
| QuantityArray/broadcasting/x^2_normal_array | 2 allocs: 0.0763 MB | 2 allocs: 0.0763 MB | 1 |
| QuantityArray/broadcasting/x^2_quantity_array | 2 allocs: 0.0763 MB | 2 allocs: 0.0763 MB | 1 |
| QuantityArray/broadcasting/x^4_array_of_quantities | 2 allocs: 0.382 MB | 2 allocs: 0.382 MB | 1 |
| QuantityArray/broadcasting/x^4_normal_array | 2 allocs: 0.0763 MB | 2 allocs: 0.0763 MB | 1 |
| QuantityArray/broadcasting/x^4_quantity_array | 2 allocs: 0.0763 MB | 2 allocs: 0.0763 MB | 1 |
| time_to_load | 0.153 k allocs: 14.5 kB | 0.153 k allocs: 14.5 kB | 1 |
Benchmark Results (Julia v1)
Time benchmarks
| main | 6534a36155302d... | main / 6534a36155302d... | |
|---|---|---|---|
| Quantity/creation/Quantity(x) | 3.1 ± 0.01 ns | 3.11 ± 0.92 ns | 0.997 ± 0.3 |
| Quantity/creation/Quantity(x, length=y) | 3.73 ± 0.01 ns | 3.73 ± 0.01 ns | 1 ± 0.0038 |
| Quantity/with_numbers/*real | 3.11 ± 0.01 ns | 2.79 ± 0.001 ns | 1.11 ± 0.0036 |
| Quantity/with_numbers/^int | 8.98 ± 2.2 ns | 8.68 ± 2.2 ns | 1.03 ± 0.36 |
| Quantity/with_numbers/^int * real | 9.29 ± 2.2 ns | 9.29 ± 2.2 ns | 1 ± 0.33 |
| Quantity/with_quantity/+y | 4.35 ± 0.01 ns | 4.35 ± 0.009 ns | 1 ± 0.0031 |
| Quantity/with_quantity//y | 3.42 ± 0.01 ns | 3.41 ± 0.01 ns | 1 ± 0.0042 |
| Quantity/with_self/dimension | 3.71 ± 0.92 ns | 3.1 ± 0.01 ns | 1.19 ± 0.3 |
| Quantity/with_self/inv | 3.1 ± 0.01 ns | 3.11 ± 0.01 ns | 1 ± 0.0046 |
| Quantity/with_self/ustrip | 2.79 ± 0.91 ns | 3.1 ± 0.01 ns | 0.903 ± 0.29 |
| QuantityArray/broadcasting/multi_array_of_quantities | 0.0906 ± 0.00099 ms | 0.0907 ± 0.00078 ms | 1 ± 0.014 |
| QuantityArray/broadcasting/multi_normal_array | 0.0498 ± 0.00022 ms | 0.0498 ± 0.00024 ms | 1 ± 0.0065 |
| QuantityArray/broadcasting/multi_quantity_array | 0.0539 ± 0.0062 ms | 0.0622 ± 0.0091 ms | 0.866 ± 0.16 |
| QuantityArray/broadcasting/x^2_array_of_quantities | 13.3 ± 2.2 μs | 12.6 ± 1.7 μs | 1.05 ± 0.22 |
| QuantityArray/broadcasting/x^2_normal_array | 2.09 ± 1.8 μs | 2.48 ± 2.4 μs | 0.843 ± 1.1 |
| QuantityArray/broadcasting/x^2_quantity_array | 3.86 ± 0.78 μs | 3.54 ± 0.29 μs | 1.09 ± 0.24 |
| QuantityArray/broadcasting/x^4_array_of_quantities | 0.0845 ± 0.0017 ms | 0.0845 ± 0.00061 ms | 1 ± 0.022 |
| QuantityArray/broadcasting/x^4_normal_array | 0.0466 ± 0.00016 ms | 0.0497 ± 0.00022 ms | 0.938 ± 0.0053 |
| QuantityArray/broadcasting/x^4_quantity_array | 0.0499 ± 0.00017 ms | 0.0498 ± 0.003 ms | 1 ± 0.061 |
| time_to_load | 0.202 ± 0.0026 s | 0.198 ± 0.0017 s | 1.02 ± 0.016 |
Memory benchmarks
| main | 6534a36155302d... | main / 6534a36155302d... | |
|---|---|---|---|
| Quantity/creation/Quantity(x) | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/creation/Quantity(x, length=y) | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_numbers/*real | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_numbers/^int | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_numbers/^int * real | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_quantity/+y | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_quantity//y | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_self/dimension | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_self/inv | 0 allocs: 0 B | 0 allocs: 0 B | |
| Quantity/with_self/ustrip | 0 allocs: 0 B | 0 allocs: 0 B | |
| QuantityArray/broadcasting/multi_array_of_quantities | 3 allocs: 0.382 MB | 3 allocs: 0.382 MB | 1 |
| QuantityArray/broadcasting/multi_normal_array | 3 allocs: 0.0764 MB | 3 allocs: 0.0764 MB | 1 |
| QuantityArray/broadcasting/multi_quantity_array | 3 allocs: 0.0764 MB | 3 allocs: 0.0764 MB | 1 |
| QuantityArray/broadcasting/x^2_array_of_quantities | 3 allocs: 0.382 MB | 3 allocs: 0.382 MB | 1 |
| QuantityArray/broadcasting/x^2_normal_array | 3 allocs: 0.0764 MB | 3 allocs: 0.0764 MB | 1 |
| QuantityArray/broadcasting/x^2_quantity_array | 3 allocs: 0.0764 MB | 3 allocs: 0.0764 MB | 1 |
| QuantityArray/broadcasting/x^4_array_of_quantities | 3 allocs: 0.382 MB | 3 allocs: 0.382 MB | 1 |
| QuantityArray/broadcasting/x^4_normal_array | 3 allocs: 0.0764 MB | 3 allocs: 0.0764 MB | 1 |
| QuantityArray/broadcasting/x^4_quantity_array | 3 allocs: 0.0764 MB | 3 allocs: 0.0764 MB | 1 |
| time_to_load | 0.159 k allocs: 11.2 kB | 0.159 k allocs: 11.2 kB | 1 |
Hi @MilesCranmer, here's the latest with Makie's new ComputePipeline now integrated in this PR for your review. Lots of cool stuff going on in their new release!
@SimonDanisch @jkrumbiegel just to raise this again: I would really really prefer if Makie had this as an extension rather than DQ. As you can see from the latest commit on this PR, there are already edits going in from Makie’s latest version release. Whereas DQ is rock solid. I don’t want the releases of DQ to simply be re-releasing a patch whenever Makie makes a change. Once this part of the API is guaranteed to be stable, I am happy to have it here, but until then, I think it doesn’t make sense to have me maintaining a list of symbols for an unrelated package. Makie already stores Unitful’s extension and they are quite a very similar if not identical API (in fact there have been discussions of having a lightweight AbstractUnits package to formalise this) so I don’t think it will be that bad to include DQ there too. We all have a huge maintenance load; I would say that this is about reducing the combined load on us, which I believe it would.
And thanks @icweaver for your efforts, its much appreciated. Would it be alright if you make this as a PR to Makie? Hopefully the above reasoning makes sense to you - I really appreciate the effort, I just think the location isn’t optimal.
Hi Miles, totally understand. Happy to get a PR + docs going on Makie's side if their team is open to it. I think this would also help make using our DQConversion a bit more ergonomic for the user
https://github.com/SymbolicML/DynamicQuantities.jl/blob/2f7086eac70ec9c45de6258eb21f35d8d1dc877c/docs/src/examples.md?plain=1#L533-L534
I guess we can do that;)
haha, cool, just opened https://github.com/MakieOrg/Makie.jl/pull/5137
Ok, just updated things here so that it is a companion docs PR to the functionality PR in Makie now
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Thanks; could you make a new PR for that though? This thread is kinda long and unrelated
haha, for sure #183