transition_matrix builtin

transition_matrix(
    depth,
    categories,
    holes,
    *,
    lag,
    tolerance=0.0,
    scheme=None,
    data=None,
)

Along-hole category transition matrix: for every sample, the classes of samples lag ± tolerance deeper in the same hole.

Parameters:

Name	Type	Description	Default
depth	array_like or str	Depth down the hole of each sample, or its column in data.	required
categories	array_like or str	Class of each sample, int or str, or its column; null leaves the sample out. With scheme, numbers are its codes and labels are encoded by it; without, labels in the order of Categories.from_values.	required
holes	array_like or str	Hole id of each sample, or its column.	required
lag	float	Along-hole distance searched for a deeper sample.	required
tolerance	float	Half-width of the lag window.	0.0
scheme	Categories	Names and order of the classes.	None
data	(PointSet, BlockModel, Table or dict)	Where column names are looked up.	None

Returns:

Type	Description
Table	One row per pair of classes, from (shallower) then to (deeper) in class order: from, to, count and frequency (count over its row's total, null when the row has none).

used in

• along-hole transition matrix and MDS