DataTree¶

DataTree([graph, root_node_name, ...])

Attributes¶

`DataTree.root_node_name`	The root node for this data tree, which is only ever a parent.
`DataTree.subspaces`	Direct access to node Dataset objects by name.
`DataTree.relationships_are_digitized`	Whether all relationships are digital (by position).
`DataTree.n_cases`	The size of the _caseid_ dimension of the root Dataset.
`DataTree.n_alts`	The size of the _altid_ dimension of the root Dataset.
`DataTree.CASEID`	The _caseid_ dimension of the root Dataset.
`DataTree.ALTID`	The _altid_ dimension of the root Dataset.

`DataTree.add_dataset`(name, dataset[, ...])	Add a new Dataset node to this DataTree.
`DataTree.add_relationship`(args, *kwargs)	Add a relationship to this DataTree.
`DataTree.digitize_relationships`([inplace, ...])	Convert all label-based relationships into position-based.
`DataTree.query_cases`(args, *kwargs)	Return a new DataTree, with a query filter applied to the root Dataset.
`DataTree.replace_datasets`([other, validate, ...])	Replace one or more datasets in the nodes of this tree.
`DataTree.setup_flow`(args, *kwargs)	Set up a new Flow for analysis using the structure of this DataTree.