pymysql
python에서 mysql 사용하는 라이브러리. 크롤링과 같은 작업때문에 파이썬에서 다룰 일이 생김.
import pymysql
db = pymysql.connect(host='localhost', port=3306,
user='root', passwd='비밀번호', db='ecommerce', charset='utf8')
ecommerce = db.cursor()
sql = """
CREATE TABLE product (
PRODUCT_CODE VARCHAR(20) NOT NULL,
TITLE VARCHAR(200) NOT NULL,
ORI_PRICE INT,
DISCOUNT_PRICE INT,
DISCOUNT_PERCENT INT,
DELIVERY VARCHAR(2),
PRIMARY KEY(PRODUCT_CODE)
);
ecommerce.execute(sql)
db.commit()
db.close()
"""
import pymysql
db = pymysql.connect(host='localhost', port=3306,
user='root', passwd='비밀번호', db='ecommerce', charset='utf8')
cursor = db.cursor()
sql = "SELECT * FROM product"
cursor.execute(sql)
result = cursor.fetchmany(2)
for record in result:
print(result)
db.close()
pandas
python에서 mysql을 쉽게 읽기 위한 라이브러리. csv파일로 저장할 때에도 사용됨
import pymysql
import pandas as pd
host_name = 'localhost'
host_port = 3306
user_name = 'root'
password = '비밀번호'
database_name = 'student_mgmt'
db = pymysql.connect(
host=host_name,
port=host_port,
user=user_name,
password=password,
db=database_name,
charset='utf8'
)
SQL = 'select * from students'
df = pd.read_sql(SQL, db)
df
df.to_csv('students.csv', sep=',', index=False, encoding='utf-8')