I have a very badly formed csv that I want to transfer to a table. I have managed to get a basic output to work on. But the step to keep the value of 2 identifiers (file_date, id_name) if null and transpose to the next rows till they get new values, I don't know how to do.
Already solved it with a Python caller
Probably, AttributeManager transformer’s Enable Adjacent Feature Attributes capability may be of use here.
Thanks for the suggestion ranga!
I tried it and it works like a charm. Again I learned something.
What I was using with the Pytoncaller:
class FeatureProcessor(object):
def __init__(self):
self.keep_date=""
self.keep_id=""
self.keep_id_naam=""
pass
def input(self, feature):
if not feature.isAttributeNull('datum'):
self.keep_date = feature.getAttribute('datum')
else:
feature.setAttribute('datum',self.keep_date)
if not feature.isAttributeNull('id'):
self.keep_id = feature.getAttribute('id')
else:
feature.setAttribute('id',self.keep_id)
if not feature.isAttributeNull('id_naam'):
self.keep_id_naam = feature.getAttribute('id_naam')
else:
feature.setAttribute('id_naam',self.keep_id_naam)
etc.