Module kde 

Gaussian kernel density estimation, used to shape violin plots.

Structs

KdeCurve

An evaluated kernel density estimate: paired x positions and density values, plus the bandwidth that produced them.

Functions

kde_curve

Evaluate a Gaussian KDE of data on a uniform grid.

silverman_bandwidth

Silverman’s rule-of-thumb bandwidth: h = 0.9 * min(std, IQR/1.34) * n^(-1/5).