data-maker/pipeline.py

#!/usr/bin/env python3
	@staticmethod
		df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
		else :

	def shuffle(self,_args):
			writer.write(_df,table=args['from'])
			for _item in schema :
		# We need to remove the continuous columns from the data-frame

		
		# base_cols = list(set(_args['data'].columns) - set(args['columns']))	#-- rebuilt the dataset (and store it)
		# cols = _dc.columns.tolist()
		# for name in cols :
		# 	_args['data'][name] = _dc[name]