Colormap doesn't work on lines

[haberdashPI]

At the very least, the obvious thing you would want to do (set colormap in visual) doesn't seem to work.

x = rand(100, 4)
df = DataFrame(t = repeat(axes(x, 1), outer=4), x = vec(x), kind=repeat(["a", "b", "c", "d"], inner=100))
plt = data(df) * mapping(:t, :x, color = :kind) * visual(Lines, colormap = :Paired_4)
save("test.png", draw(plt))

This yield output that is identical to the output when you remove colormap.

In contrast, the following Makie-only version appropriately colors the lines.

x = rand(100, 4)
df = DataFrame(t = repeat(axes(x, 1), outer=4), x = vec(x), kind=repeat(["a", "b", "c", "d"], inner=100))
fig = Figure()
Axis(fig[1,1])
for sdf in groupby(df, :kind)
    lines!(sdf.t, sdf.x, color=sdf.kind, colorrange = (1, 4), colormap=:Paired_4)
end
save("test.png", fig)

Here's the output of ]st

  [cbdf2221] AlgebraOfGraphics v0.6.0
  [13f3f980] CairoMakie v0.6.6
  [a93c6f00] DataFrames v1.3.2
  [ee78f7c6] Makie v0.15.3

[palday]

Same seems to hold for Scatter.

[dwinkler1]

I think I am hitting a similar issue. Here the colormap is completely ignored:

dd = DataFrame(x = [rand(10)..., 10 .+ rand(10)...], c = [repeat('a', 10)..., repeat('b', 10)...])
plt = data(dd) * 
mapping(:x, color = :c) * 
AlgebraOfGraphics.density()
fig = draw(plt * visual(colormap = :reds))

[piever]

I think the issue is that categorical color variables (eg, columns of strings) are converted using the default color palette, so AlgebraOfGraphics does actually not look into colormap at all.

For what you are looking for, you should probably do

draw(plt, palettes=(color=cgrad(:Paired_4),))

(see last example here).

There may still be some subtleties to take care of (for example this by default gives a regular legend rather than a colorbar, I'm not 100% sure which one you'd want), but I think those should be discussed at #183, so I'm closing this one.

[haberdashPI]

Long-term is this the right design? At least as I understand it, for continuous scales you would normally want to use colormap. Ideally there would be just one keyword you would use to customize the colors used by a plot.

[piever]

At least as I understand it, for continuous scales you would normally want to use colormap.

Is the confusion that continuous and categorical scales have very different syntaxes? I think that's a fair objection, but it's not super easy to come up with a consistent solution. Do you have something in mind?

IMO, allowing colormap for categorical scales is probably a bad idea: all other categorical scales, like marker or linestyle, don't have something like that, so one would need two syntaxes any way.

Conceptually, colormap does not belong to the single layer but to the whole plot (it'd be confusing to use different colormaps on different layers of the same subplot), so a possible alternative would be to have a

draw(plt; palettes=(...), scales=(...))

where scales denotes the continuous scales to be used. The main difficulty for me is figuring out what exactly is a continuous scale. I imagine it would probably contain information about extrema of the data, nonlinear transformation, how scales are linked in facet plots. If one also allows scales for positional arguments, that could probably also remove the need for the facet = (linkxaxes=...,) syntax.

[haberdashPI]

Conceptually, colormap does not belong to the single layer but to the whole plot (it'd be confusing to use different colormaps on different layers of the same subplot),

I don't see why a continuous vs. discrete color space changes this: if it's confusing for continuous spaces it's confusing for discrete spaces as well. You may need different domains (one for each type of attribute) but if they map to color, I think they should all map to the same range (a mapping from number range -> linear color space).

For sake of clarity here, let's call a palette a mapping from an attribute to numbers, and a colormap a mapping from said numbers to a 1d colorspace (e.g. :viridis).

I imagine it would probably contain information about extrema of the data, nonlinear transformation, how scales are linked in facet plots...

I think I agree with most of this. To be concrete about how it relates to what I'm saying above about the distinction between palettes and colormaps: for palettes you'd want to specify the mapping of a domain of values to a range of integers (with some sensible default). Optionally this could also include a specification of some non-linear transform. For color mappings you'd want to specify a mapping from the same domain of numbers used in palettes to another domain of numbers representing the colors (where 0 is the first color and 1 is the last). The color mapping would be shared across all layers, while palettes could be specified on a per layer basis (or, for convenience during draw when you don't need a per-layer specification).

To be concrete, here's an example of a syntax that could makes sense to me:

x = rand(100)
y = rand(100)
z = rand(["a", "b", "c", "d"], 100)
df = (; x, y, z)
plt = data(df) * mapping(:x, :y, color=:z)
colors = [colorant"#E24A33", colorant"#348ABD", colorant"#988ED5", colorant"#777777"]
color_pallete = ["a" => 1, "b" => 2]
draw(plt; color_space=(;range=colors, kind=:discrete), palettes=(;color=color_palette))

And for continuous scales:

using AlgebraOfGraphics, CairoMakie
set_aog_theme!()

df = (x=randn(1000), y=randn(1000))
plt = data(df) * mapping(:x, :y) * AlgebraOfGraphics.density(npoints=50)
draw(plt * visual(Heatmap), color_space=(;range=:viridis, kind=:continuous), palettes=(;color=(0,5) => (0,1))

This would clamp density values > 5 to the same (most extreme) color.

In this particular proposal I'm suggesting a keyword different than colormap because presumably there would need to be some post-processing within AoG to map it into the colormap keyword used by Makie. In an ideal world I think you'd want to just use colormap for both rather than color_space, but I have a sense that might make this harder to actually implement.

[haberdashPI]

And, if you like this (or some variant), I'd be happy to take a crack at implementing it, at least for colors. I'm not as sure how it would relate to things like linked axes.

[piever]

Ah, I think I understand it now. You would want to split color palettes in two steps. The palette gives you integers, and the colormap turns them into colors. Reopening this because I think that proposal is not tracked anywhere. It seems like a promising idea, in that Makie would keep taking care of continuous scales, which avoids a fair amount of duplication. AlgebraOfGraphics converts categorical things into numbers.

In this scenario, I suppose the default color palette should return numbers (say [1, 2, 3, 4, 5, 6, 7], but returning numbers is the default, so we may not need a color palette at all). The default colorscheme (I like this name a bit better than color_space) would return our default 7 colors. I think it's cleaner to use different names (colorscheme vs colormap) for ease of themeability as well, as they would have different defaults.

At this point though, one may want to reconsider the word palettes: it's mostly about turning things into integers. So, I'm not sure on the API (see also this comment), but I do agree on the split between the "categorical conversion" (to customize "plot by plot") and an overall theme (just a list of colors). I imagine the role of palettes here would essentially replace these helpers. I was not super happy about those helpers either, as they force you to work with weird custom structs in order to be "row-wise" functions.

It's probably a good occasion to also allow different attributes to use a specific "scheme". For example, how does one inform arrowcolor here to use colorscheme? @jkrumbiegel has been mentioning this in the past, and I think we should support it (hopefully this decoupling makes it easier). We may try and take inspiration from the Makie color cycling.

And, if you like this (or some variant), I'd be happy to take a crack at implementing it, at least for colors. I'm not as sure how it would relate to things like linked axes.

I think your proposal is probably easier to implement than my previous rambling :), no need to worry about linked axes and such here. Especially if you want to keep the legend the same (categorical legend, as opposed to categorical colorbar legend for categorical variables) it should be reasonably straightforward. The processing of extra attributes is done in compute_attributes (added documentation for it in #358).

[jkrumbiegel]

For plotting practice, it's probably good to offer the ability to map specific categories to integers, so that in different plots that use the same general categories, but maybe different subsets, the value => integer / color mapping stays the same.

So for example, your mapping is ["a" => 1, "b" => 2, "c" => 3] and then if you have another plot with only "b" and "c" such that ["b" => 2, "c" => 3].

However, it would probably be annoying having to specify this mapping for one-off plots, then it would be fine to just go 1:n with the values that are present in the specific plot. So I think the api should make this part optional. You can specify only the color list, or additionally the value => integer mapping for categorical colors.

For the issue of color parameters that are not named color, yeah maybe something like the cycling technique in Makie can work, where I do :patchcolor => :color or even [:fillcolor, :strokecolor] => :color to assign multiple attributes to the same themeable preset.

[piever]

So for example, your mapping is ["a" => 1, "b" => 2, "c" => 3] and then if you have another plot with only "b" and "c" such that ["b" => 2, "c" => 3].

Yeah, I also think this is an important use case. At the moment you can do ["a" => color1, "b" => color2, "c" => color3], but it feels like defining your categories should be decoupled from the choice of colors.

I was also wondering, should this affect the order in which they show up in the legend? That is, if one passes

["a" => 2, "b" => 1, "c" => 3]

should "b" be the first legend entry? Somehow, it makes sense to me that the colors should always appear in the legend in the same order.

Re: optionality, yes, in this plan, one would have defaults for both the order (just enumerating the sorted unique values) and the color scheme (Wong colors), with the possibility of changing each independently. Mapping categoricalvalue => color (ie "a" => colorant"red") should probably be deprecated.

[haberdashPI]

should "b" be the first legend entry?

That is what I intuitively assumed. Seems reasonable, and there should be some way to manipulate order since that's a huge legibility issue.

Perhaps a more principled justification is that the numbers represent some conceptual scale for the values (so it's a natural place for order to be specified). This conceptual scale is then mapped to a particular color space that has perceptual meaning.

However, it would probably be annoying having to specify this mapping for one-off plots,

I agree with @piever that "one would have defaults for both the order. and the color scheme".

[haberdashPI]

At this point though, one may want to reconsider the word palettes...

Nice! Yeah, maybe the right name is levels? I like the idea of using this keyword rather than using those helpers.

It's probably a good occasion to also allow different attributes to use a specific "scheme". For example, how does one inform arrowcolor here to use colorscheme

For the issue of color parameters that are not named color, yeah maybe something like the cycling technique in Makie can work, where I do :patchcolor => :color or even [:fillcolor, :strokecolor] => :color to assign multiple attributes to the same themeable preset.

I'm not certain I follow this but if I understand I think the issue here is that AoG doesn't know anything special about these attributes so you want a way to communicate that the integers should be mapped to colors (rather than say, a discrete set of linetype names or whatever).

I'm not sure this is how it should be exposed as an API, but I think what this reveals is that there are really three levels:

1. mapping from data values to integers, controlled by levels
2. a specification of what scheme a given keyword should map to
3. The scheme itself: this maps particular levels to particular outputs

I think one API that could make sense would be that you specify the scheme when choosing the levels. So, for example, both of the calls to draw! below, would be valid ways to specify the scheme.

plt = ... * mapping(arrowcolor=:condition) * ...
draw!(..., levels=(;arrowcolor=scheme(:color)))
draw!(..., levels=(;arrowcolor=scheme(:color, ["b" => 2, "c" => 3])))

While I think it makes sense to have this be configurable, why not have a natural default as well? For example, for any keyword assigned in mapping where occursin(r"color"i, string(keyword)) use the colorscheme rather than some other scheme. If this were implemented, then the below two calls would yield the same behavior as the above two calls.

plt = ... * mapping(arrowcolor=:condition) * ...
draw!(...)
draw!(..., levels=(;arrowcolor=["b" => 2, "c" => 3]))

Most of the time then, a user won't have to worry about this, but they could configure it if needed.

This could lead to conflicts where a keyword maps two scheme's regexs. That could be resolved by requiring an explicit scheme for any such keyword. That is, when a keyword matches 0 or >1 regex some error gets thrown if you are trying to use mapping for that keyword.