# Eunoia.venn Julia · 1.0.1 [Source]() ```julia venn( sets; shape::AbstractString = "circle", complement::Union{Nothing, Real} = nothing ) ``` ## Methods ### `venn( sets; shape::AbstractString = "circle", complement::Union{Nothing, Real} = nothing )` [Source]() ```julia venn(sets; shape="circle", complement=nothing) ``` Build a canonical Venn diagram. `sets` selects the set names, as one of: - an `Integer` `n` — `n` sets with default names `"A"`, `"B"`, …; - a vector of set names, e.g. `["cat", "dog", "fish"]`; - a mapping whose keys are set/combination labels (the distinct base set names are extracted; values are ignored, since a Venn layout is non-proportional). The number of names selects the arrangement; `shape` is `"circle"` (n ≤ 3), `"ellipse"` (n ≤ 5), `"square"`, `"rectangle"` (n ≤ 3), or `"rotated_rectangle"` (n ≤ 4). Pass `complement` to reserve that area outside every set; the fit then carries a `container` box (the "universe" frame) drawn behind the diagram, just as for [`euler`](<724ed6727eeae60915c72bfade1aba4de6ed59849fa7c8c0907cf91088d062d1>). ```julia venn(["A", "B", "C"]; shape="ellipse") venn(3) venn(4; shape="rotated_rectangle", complement=2) ``` Returns a [`VennFit`](): the same structure as [`EulerFit`](<4ed69989ba26556a9f6f1924004c8ef9d3a879be2533c31ba480a63a0d640b42>), but the layout is topological, so `fitted_values` holds each region's geometric area and `original_values` is empty.