Graph

Discovered causal graphs, and the domain knowledge pinned onto them.

Graph

The causal graph of a twin version: edges, adjacency, and domain-knowledge pins.

Properties

• nodes (list[str])

• edges (pd.DataFrame)

Graph.refresh

Graph.refresh() -> Graph

Undocumented; the signature above is the contract.

Graph.link

Graph.link() -> Any

The twin page this graph is drawn on, as a clickable URL.

Graph.adjacency

Graph.adjacency(values: str = 'strength') -> pd.DataFrame

Adjacency matrix as a labelled DataFrame.

Parameter	Type	Default	Description
values	str	'strength'	What each cell holds: strength, sign, or bool.

Returns (pd.DataFrame): A square DataFrame indexed by cause and labelled by effect.

Graph.to_numpy

Graph.to_numpy(values: str = 'strength')

Undocumented; the signature above is the contract.

Graph.to_networkx

Graph.to_networkx()

Undocumented; the signature above is the contract.

Graph.pin

Graph.pin(cause: str, effect: str) -> Graph

Fix an edge as present: domain knowledge the next discovery run must honour.

Parameter	Type	Default	Description
cause	str	required	The causing variable.
effect	str	required	The affected variable.

Returns (Graph): This graph, refreshed.

Graph.forbid

Graph.forbid(cause: str, effect: str) -> Graph

Fix an edge as absent (anti-edge).

Parameter	Type	Default	Description
cause	str	required	The causing variable.
effect	str	required	The affected variable.

Returns (Graph): This graph, refreshed.

Graph.train

Graph.train(*, timeout: float = 7200.0) -> Twin

Undocumented; the signature above is the contract.