Read MySQL to DataFrame

Using sqlalchemy and PyMySQL

from sqlalchemy import create_engine

cnx = create_engine('mysql+pymysql://username:password@server:3306/database').connect()
sql = 'select * from mytable'
df = pd.read_sql(sql, cnx)

To read mysql to dataframe, In case of large amount of data

To fetch large data we can use generators in pandas and load data in chunks.

import pandas as pd
from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL


# sqlalchemy engine
engine = create_engine(URL(
    drivername="mysql"
    username="user",
    password="password"
    host="host"
    database="database"
))

conn = engine.connect()

generator_df = pd.read_sql(sql=query,  # mysql query
                           con=conn,
                           chunksize=chunksize)  # size you want to fetch each time

for dataframe in generator_df:
    for row in dataframe:
        pass  # whatever you want to do