+1 On Monday, 3 June 2019 09:51:56 UTC-7, Leonel Câmara wrote: > > Sorry to dig this thread up, but I had to take a look at this recently. > > I think the most efficient way is to use pydal to make the sql query and > then have pandas do it. As an example say you want a dataframe which has > the user's id and their first_name > > import pandas as pd > conn = db._adapter.connection > sqlquery = pd.read_sql_query(db(db.auth_user.id > 0)._select(db.auth_user. > id, db.auth_user.first_name), conn) > df = pd.DataFrame(sqlquery, columns=["id", "first_name"]) > > This uses the connection to the database already done by pydal, it uses > sql produced by pydal, however pydal does not process the result as it goes > directly to pandas. >
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