capping builtin

capping(values, *, weights=None, caps=None, data=None)

Metal removed and statistics after capping at each of caps.

Parameters:

Name	Type	Description	Default
values	array_like or str	Values, or their column in data; NaN is skipped.	required
weights	array_like or str	Declustering weights; default the volumes of a BlockModel data, else 1.	None
caps	array_like	Caps; default the weighted quantiles 0.9, 0.95, 0.975, 0.99, 0.995 and 0.999.	None
data	(PointSet, BlockModel, Table or dict)	Where column names are looked up.	None

Returns:

Type	Description
Table	cap, fraction of weight above it, metal_removed (1 - capped mean / mean), capped mean and cv.

used in

• Describing data
• top cuts
• From drill holes to a classified model