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Try iterating over pandas and numpy arrays and check if any adjustment is needed.
Load everything into memory and don't focus on performance... only to be used with small datasets. e.g.
python3 -m spyql.spyql "SELECT col1->IGNITION FROM [[row.to_dict()] for _, row in pd.read_csv('~/Downloads/gps_fb-ma-06-13.csv', nrows=10).iterrows()] TO json"
The text was updated successfully, but these errors were encountered:
Try iterating over pandas and numpy arrays and check if any adjustment is needed.
Load everything into memory and don't focus on performance... only to be used with small datasets. e.g.
The text was updated successfully, but these errors were encountered: