data-maker/pipeline.py

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


				df = reader.read(sql=args['sql'],limit=args['row_limit'])
		real_df = pd.DataFrame()
				#
		
		# cols = _dc.columns.tolist()
		# 	data_comp.to_csv(_pname,index=False)
	if 'matrix_size' in args :
		# 	jobs = []
		# jobs = []