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Examples
Violin

Violin

A violin plot.

Violin

Usage 

from dataviz_mojo import violin
from dataviz_mojo.plot import save

def main() raises:
    var classes: List[String] = ["Section A", "Section B", "Section C"]
    var scores: List[List[Float64]] = [
        [72.0, 75.0, 78.0, 80.0, 74.0, 76.0, 91.0],
        [65.0, 70.0, 72.0, 88.0, 90.0, 92.0, 95.0],
        [80.0, 82.0, 83.0, 84.0, 81.0, 79.0, 85.0],
    ]

    var c = violin(classes, scores)
    save(c, "docs/src/examples/out_violin.svg")

Args:

  • categories: One silhouette per entry, in the given order.
  • 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.
TreemapWaterfall