I have a SQL Alchemy query running in a Jupyter notebook:
results = session.query(func.date_part("Year",CryptoCurr.timestamp_date),func.Max(CryptoCurr.close - CryptoCurr.open)).\
group_by(func.Date_Part("Year",CryptoCurr.timestamp_date)).limit(10).all()
print(results)
How can I convert the results (data) into a pandas dataframe?
