Reputation: 8558
I'm working with an Oracle database. I can do this much:
import pandas as pd
import pandas.io.sql as psql
import cx_Oracle as odb
conn = odb.connect(_user +'/'+ _pass +'@'+ _dbenv)
sqlStr = "SELECT * FROM customers"
df = psql.frame_query(sqlStr, conn)
But I don't know how to handle bind variables, like so:
sqlStr = """SELECT * FROM customers
WHERE id BETWEEN :v1 AND :v2
"""
I've tried these variations:
params = (1234, 5678)
params2 = {"v1":1234, "v2":5678}
df = psql.frame_query((sqlStr,params), conn)
df = psql.frame_query((sqlStr,params2), conn)
df = psql.frame_query(sqlStr,params, conn)
df = psql.frame_query(sqlStr,params2, conn)
The following works:
curs = conn.cursor()
curs.execute(sqlStr, params)
df = pd.DataFrame(curs.fetchall())
df.columns = [rec[0] for rec in curs.description]
but this solution is just...inellegant. If I can, I'd like to do this without creating the cursor object. Is there a way to do the whole thing using just pandas?
Upvotes: 6
Views: 11728
Reputation: 278
Try using pandas.io.sql.read_sql_query
. I used pandas version 0.20.1, I used it, it worked out:
import pandas as pd
import pandas.io.sql as psql
import cx_Oracle as odb
conn = odb.connect(_user +'/'+ _pass +'@'+ _dbenv)
sqlStr = """SELECT * FROM customers
WHERE id BETWEEN :v1 AND :v2
"""
pars = {"v1":1234, "v2":5678}
df = psql.frame_query(sqlStr, conn, params=pars)
Upvotes: 1
Reputation: 68136
As far as I can tell, pandas expects that the SQL string be completely formed prior to passing it along. With that in mind, I would (and always do) use string interpolation:
params = (1234, 5678)
sqlStr = """
SELECT * FROM customers
WHERE id BETWEEN %d AND %d
""" % params
print(sqlStr)
which gives
SELECT * FROM customers
WHERE id BETWEEN 1234 AND 5678
So that should feed into psql.frame_query
just fine. (it does in my experience with postgres, mysql, and sql server).
Upvotes: 0