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Demonstrate a hack-y way to support Pint<->SQL interop
pd.to_sql can deal with Pint Pandas dataframes (provided all columns are some kind of pint[] type. But reading back the dataframe requires quite a bit of unpacking. Addresses (somewhat) https://github.com/os-climate/data-platform-demo/issues/50
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