def load(self):
        if os.path.exists(self.path):
            with open(self.path, 'r') as f:
                self.body_labels = collections.OrderedDict(json.load(f))
def dframe(cls, dataset, dimensions):
        if dimensions:
            return dataset.data[dimensions].to_pandas()
        else:
            return dataset.data.to_pandas()