def column(self, key, content=False):
i = key if type(key) is int else self.columnNames.index(key)
try:
return [sparql.cellContent(row[i]) if content else row[i] for row in self.rows]
except IndexError as inst:
print(str(type(inst)))
print(inst.args)
return []
def predicatesForKeyColumn(self):
"""generate a dictionary containing all predicates for each
entity in the key-column with their predicates"""
subjects = []
for subject in self.columns[self.key]:
subjCell = sparql.cellContent(subject)
subjects.append([subjCell, sparql.predicates(subjCell)])
return subjects
def predicatesForColumns(self, subColumn, objColumn, relative=True):
"""Return all predicates with subColumn's cells as subjects and objColumn's cells as objects.
Set 'relative' to True if you want relative occurances."""
subData = self.column(subColumn)
objData = self.column(objColumn)
predicates = {}
for i in range(0, len(subData)):
subContent = sparql.cellContent(subData[i])
objContent = sparql.cellContent(objData[i])
if not (objContent and sparql.isResource(subContent)):
continue
for predicate in sparql.predicates(subContent, objContent):
if predicate in predicates:
predicates[predicate] += 1
else:
predicates[predicate] = 1
if relative:
for p in predicates:
predicates[p] = round(predicates[p]/len(subData), 2)
return predicates
