Answers for "to sql pandas"

SQL to DataFrame

import pandas as pd
import pyodbc 
conn = pyodbc.connect('Driver={SQL Server};'
                      'Server=RONSQLEXPRESS;'
                      'Database=TestDB;'
                      'Trusted_Connection=yes;')

cursor = conn.cursor()

sql_query = pd.read_sql_query('SELECT * FROM TestDB.dbo.Person',conn)
print(sql_query)
print(type(sql_query))

pandas to sql index

resultDf.to_sql('table_name', engine, schema="schema_name", if_exists="append", index=False)

df to sql pandas sql achemy

from sqlalchemy import create_engine
engine = create_engine('sqlite://', echo=False)
df.to_sql('users', con=engine)
engine.execute("SELECT * FROM users").fetchall()

to_sql pandas

>>> df.to_sql('users', con=engine)
>>> engine.execute("SELECT * FROM users").fetchall()
[(0, 'User 1'), (1, 'User 2'), (2, 'User 3')]