python - Read data from pyodbc to pandas

Question

I am querying a SQL database and I want to use pandas to process the data. However, I am not sure how to move the data. Below is my input and output.

import pyodbc
import pandas
from pandas import DataFrame

cnxn = pyodbc.connect(r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=C:usersartogredesktopCorpRentalPivot1.accdb;UID="";PWD="";')
crsr = cnxn.cursor()
for table_name in crsr.tables(tableType='TABLE'):
    print(table_name)
cursor = cnxn.cursor()
sql = "Select sum(CYTM), sum(PYTM), BRAND From data Group By BRAND"
cursor.execute(sql)
for data in cursor.fetchall():
    print (data)

---

('C:\users\bartogre\desktop\CorpRentalPivot1.accdb', None, 'Data', 'TABLE', None)
('C:\users\bartogre\desktop\CorpRentalPivot1.accdb', None, 'SFDB', 'TABLE', None)
(Decimal('78071898.71'), Decimal('82192672.29'), 'A')
(Decimal('12120663.79'), Decimal('13278814.52'), 'B')

Answer 1

A shorter and more concise answer

import pyodbc
import pandas as pd

cnxn = pyodbc.connect(r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};'
                      r'DBQ=C:usersartogredesktopdata.mdb;')
sql = "Select sum(CYTM), sum(PYTM), BRAND From data Group By BRAND"
data = pd.read_sql(sql,cnxn)  # without parameters [non-prepared statement]

# with a prepared statement, use list/tuple/dictionary of parameters depending on DB
#data = pd.read_sql(sql=sql, con=cnxn, params=query_params)