def create_default_groups(self):
        for group in self.groups:
            group = group.replace(" ", "_").lower()
            self[group] = NamedRequirements(group)
def dframe(cls, dataset, dimensions):
        if dimensions:
            return dataset.data[dimensions].to_pandas()
        else:
            return dataset.data.to_pandas()