website·Indexed 32 days ago
https://lilaq.orgA plotting library for Typst featuring a variety of built-in plot types including scatter, bar, boxplot, violin, contour, and colormesh. The library provides comprehensive tools for creating diagrams with customizable axes, grids, legends, and styling options.
line (for lines and arrows), rect (for rectangles), ellipse (for ellipses), and path (for arbitrary Bézier splines). Additionally, the place primitive can be used to overlay any content on top of a diagram.The lq.color.map module provides a curated selection of color maps designed for scientific application. All featured maps are perceptually uniform, perceptually ordered, and CVD (color-vision deficiency) friendly.
Available map categories include:
tovu, which combines topo and bukavu).Notable maps include viridis, magma, plasma, and inferno (from Matplotlib), and cividis (an optimization of viridis for better perceptual linearity for those with CVD).
lq.colorbar function creates a visual representation of the color mapping used in a plot instance (such as scatter, colormesh, contour, or quiver). It generates a slim diagram containing a filled gradient based on the plot's color map, appropriate ticks, and an optional label. Because the colorbar is a separate inline object, it can be placed anywhere in the document. To ensure the colorbar matches the height of the associated plot, it is recommended to use a lq.set-diagram rule to set a consistent height for both.#show: lq.set-diagram(height: 3.5cm, width: 4cm)
#let mesh = lq.colormesh(
lq.linspace(-0.3, 1.3),
lq.linspace(-0.3, 1.3),
(x, y) => x * y,
map: gradient.linear(..color.map.icefire).sharp(9)
)
#lq.diagram(mesh)
#lq.colorbar(mesh, thickness: 2mm)lq.scale.scale function is a constructor used to define how data coordinates are transformed into scaled coordinates. This is essential for visualizing data, such as implementing linear or logarithmic scales to improve readability of large ranges. The transformation function should focus on the mapping logic rather than absolute coefficients or offsets (e.g., for a linear scale, use x => x instead of x => a * x + b).// Example: Creating a linear scale
let linear_scale = lq.scale.scale(
transform: x => x,
inverse: x => x
)
// Example: Creating a logarithmic scale
let log_scale = lq.scale.scale(
transform: x => calc.log(x),
inverse: x => calc.exp(x),
identity: 1
)show rules using the lq.layout function.// Use lq.layout in a show rule to define a plot gridlq.layout function applies special show rules that ensure diagrams placed within a Typst grid are aligned as cells. The alignment algorithm ensures that horizontal and vertical axis spines line up across rows and columns, regardless of axis labels, ticks, titles, or legends. This alignment is maintained even when a diagram spans multiple rows or columns.#show: lq.set-diagram(width: 4cm, height: 2.2cm)
#figure({
show: lq.layout // Applies the special alignment layout rule
grid(
columns: 2,
row-gutter: 1em,
column-gutter: 1em,
lq.diagram(
lq.plot((1, 2, 3), (3, 2, 5)),
lq.plot((1, 2, 3), (4, 4.5, 3)),
),
lq.diagram(
lq.bar((1, 2, 3), (3, 2, 5))
),
lq.diagram(
lq.plot((5, 7, 8, 9), (2, 3, 3, 4))
),
lq.diagram(
lq.bar((1, 2, 3), (11, 1, 4))
),
)
})
lq.diagram function creates a container for one or more plots. All plots must be wrapped in a diagram to be displayed. It allows configuration of the overall dimensions, titles, axis labels, scales, and grid settings.#lq.diagram(
title: [Trigonometric Functions],
xlabel: $x$,
ylabel: $y$,
lq.plot(lq.linspace(0, 10), calc.sin),
lq.plot(lq.linspace(0, 10), x => calc.cos(x) / 2)
)