data-maker/pipeline.py

#!/usr/bin/env python3
	@staticmethod
		df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
		else :
		if 'ignore' in args and 'columns' in args['ignore'] :
		"""
					
		else:
					writer.write(_df[cols],table=args['from'])
		# 	_pname = os.sep.join([folder,table])+'.csv'
		# 	data_comp.to_csv( _pname,index=False)
		# 	_args['data'].to_csv(_fname,index=False)
		f = [i for i in range(0,N) if PIPELINE[i]['context'] == index]
	if 'generate' in SYS_ARGS :