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')]Copyright © 2021 Codeinu
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