pairs_copula_data

pairs_copula_data(data, main='', cols=None, grid_size=50, bins=20, scatter_size=6.0)

Pair plot for copula data U in (0, 1)^d.

Renders three panel types via pure Matplotlib: lower panels show bivariate copula density contours (fitted with pyvinecopulib) in z-space; upper panels show the scatter plus a Kendall’s tau annotation in copula space; the diagonal holds histograms.

Parameters:

dataarray-like, shape (n, d)

Copula data with entries strictly in (0, 1).

mainstr, default=””

Figure title.

colslist of str or None, default=None

Per-column labels (length d). When None, columns are labelled "u1" … "ud".

grid_sizeint, default=50

Resolution of the contour grid per dimension (lower panels). Must be positive.

binsint, default=20

Number of histogram bins (diagonal). Must be positive.

scatter_sizefloat, default=6.0

Marker size for upper-panel scatter. Must be positive.

Returns:

figFigure

The matplotlib Figure containing the panel grid.

axesndarray, shape (d, d), dtype object

Array of matplotlib Axes objects, indexed [row, col].