percentage_annotation_property
= self.ns["percentage"]
self.graph.add((percentage_annotation_property, RDF.type, OWL.AnnotationProperty))
for metadata in metadata_fields:
+
# Extract the ontology term ID mapping
+
ontology_term_id_mapping = (
+
obs[[metadata, f"{metadata}_ontology_term_id"]]
+
.drop_duplicates()
+
.set_index(metadata)
+
.to_dict()[f"{metadata}_ontology_term_id"]
+
)
+
for s, _, _ in self.graph.triples((None, RDF.type, URIRef(CLUSTER.get("iri")))):
for a_cell_type in author_cell_types:
literal = self.graph.value(subject=s, predicate=self.ns[a_cell_type])
@@ -330,19 +338,15 @@
Source code for pandasaurus_cxg.graph_generator.graph_generator
* 100
).loc[lambda x: x != 0.0]
- # Extract the ontology term ID mapping
- ontology_term_id_mapping = (
- obs[[metadata, f"{metadata}_ontology_term_id"]]
- .drop_duplicates()
- .set_index(metadata)
- .to_dict()[f"{metadata}_ontology_term_id"]
- )
-
for label, percentage in percentages.items():
- ontology_term_id = ontology_term_id_mapping.get(label).split(":")
- annotated_target = Namespace(prefixes.get(ontology_term_id[0]))[
- ontology_term_id[-1]
- ]
+ ontology_term_id = ontology_term_id_mapping.get(label)
+ if isinstance(ontology_term_id, str) and ":" in ontology_term_id:
+ ontology_term_id = ontology_term_id_mapping.get(label).split(":")
+ annotated_target = Namespace(prefixes.get(ontology_term_id[0]))[
+ ontology_term_id[-1]
+ ]
+ else:
+ annotated_target = URIRef(self.ns[str(uuid.uuid4())])
self.graph.add((annotated_target, RDFS.label, Literal(label)))
bnode_axiom = BNode()
self.graph.add((bnode_axiom, RDF.type, OWL.Axiom))