I am trying to write a pandas DataFrame to a PostgreSQL database, using a schema-qualified table.
I use the following code:
import pandas.io.sql as p
Solved, thanks to joris answer. Code was also improved thanks to joris comment, by passing around sqlalchemy engine instead of connection objects.
import pandas as pd
from sqlalchemy import create_engine, MetaData
engine = create_engine(r'postgresql://some:user@host/db')
meta = sqlalchemy.MetaData(engine, schema='a_schema')
meta.reflect(engine, schema='a_schema')
pdsql = pd.io.sql.PandasSQLAlchemy(engine, meta=meta)
df = pd.read_sql("SELECT * FROM xxx", con=engine)
pdsql.to_sql(df, 'test')