Write a program to get following data in two DataFrames :

df 1:

Roll no	Name
1	ABC
2	DEF

df2:

Roll no	Marks 1	Marks 2	Marks 3
1	70	80	75
2	60	65	70

Store these DataFrames as two separate tables in the same database.

import pandas as pd
from sqlalchemy import create_engine
import pymysql
data1 = {'Roll no': [1, 2], 'Name': ['ABC', 'DEF']}
data2 = {'Roll no': [1, 2], 'Marks1' : [70, 60], 'Marks2': [80, 65],'Marks3' : [75, 70]}
df1 = pd.DataFrame(data1)
df2 = pd.DataFrame(data2)
engine = create_engine('mysql+pymysql://root:Mypass@localhost/database')
mycon = engine.connect()
df1.to_sql('first', mycon, if_exists = 'replace', index = False)
df2.to_sql('second', mycon, if_exists = 'replace', index = False)

First table:

+---------+------+
| Roll no | Name |
+---------+------+
|       1 | ABC  |
|       2 | DEF  |
+---------+------+

Second table:

+---------+--------+--------+--------+
| Roll no | Marks1 | Marks2 | Marks3 |
+---------+--------+--------+--------+
|       1 |     70 |     80 |     75 |
|       2 |     60 |     65 |     70 |
+---------+--------+--------+--------+