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data-maker/pipeline.py

509 lines
16 KiB
Python

#!/usr/bin/env python3
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@staticmethod
df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
else :
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if 'ignore' in args and 'columns' in args['ignore'] :
else:
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#process.start()