DatasetIndexModel

class glotaran.analysis.optimization_group_calculator_linked.DatasetIndexModel(label: str, indices: dict[str, int], axis: dict[str, np.ndarray])[source]

Bases: tuple

A model which contains a dataset label and index information.

Create new instance of DatasetIndexModel(label, indices, axis)

Attributes Summary

`axis`	Alias for field number 2
`indices`	Alias for field number 1
`label`	Alias for field number 0

Methods Summary

`count`	Return number of occurrences of value.
`index`	Return first index of value.

Methods Documentation

axis: dict[str, np.ndarray]: Alias for field number 2

count(value, /): Return number of occurrences of value.

index(value, start=0, stop=sys.maxsize, /)

Return first index of value.

Raises ValueError if the value is not present.

indices: dict[str, int]: Alias for field number 1

label: str: Alias for field number 0