Ridgeline

A ridgeline plot.

Usage

from dataviz_mojo import ridgeline
from dataviz_mojo.plot import save

def main() raises:
    var months: List[String] = ["June", "July", "August", "September"]
    var temps: List[List[Float64]] = [
        [68.0, 70.0, 72.0, 74.0, 71.0, 69.0, 75.0, 73.0],
        [78.0, 80.0, 82.0, 85.0, 79.0, 81.0, 83.0, 84.0],
        [80.0, 82.0, 84.0, 86.0, 81.0, 83.0, 85.0, 87.0],
        [70.0, 72.0, 74.0, 76.0, 71.0, 73.0, 75.0, 69.0],
    ]

    var c = ridgeline(months, temps)
    save(c, "docs/src/examples/out_ridgeline.svg")

Args:

• categories: One overlapping density row per entry, top to bottom.
• values: Each category’s raw values (values[i]) – the density estimate is computed from these, not passed in directly.
• bandwidth: Overrides every category’s Silverman’s-rule kernel-density bandwidth with one shared value; must be positive if given. Left at its default 0.0, each category gets its own Silverman’s-rule bandwidth.
• scale_by_count: False (the default, ggplot2’s scale = "width") gives every category’s peak the same maximum width; True (scale = "area") additionally scales a category’s maximum width by sqrt(n_i / max(n)), so one built from fewer raw values draws visibly narrower.
• theme: Full styling knobs beyond this function’s own parameters (colors, margins, fonts, gridlines, …) – see Theme’s docstring.
• width: Pixel width of the returned Plot (.size()).
• height: Pixel height of the returned Plot (.size()).
• title: The chart’s title, shown above the plot.
• subtitle: A secondary line shown under the title.
• x_title: The x-axis caption.
• y_title: The y-axis caption.