解决一个pandas执行模糊查询sql的坑

engine = create_engine(presto_url,encoding='utf-8')
sql_exe ="""select id,title,tags from source.base.table where tags like '%呵呵%' """
df = pd.read_sql_query(sql_exe,engine)

sql_exe ="""select id,title,tags from source.base.table where tags like '%%呵呵%%' """

sql_exe ="""select id,title,tags from source.base.table where tags like %s """
 df = pd.read_sql_query(sql_exe,engine,params=("%呵呵%",))

pandas.read_sql(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, columns=None, chunksize=None)

import pandas as pd
import sqlalchemy
from sqlalchemy import create_engine
# 用sqlalchemy构建数据库链接engine
connect_info = 'mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8'
engine = create_engine(connect_info)
# sql 命令
sql_cmd = "SELECT * FROM table"
df = pd.read_sql(sql=sql_cmd, con=engine)

import pandas as pd
import pymysql
# sql 命令
sql_cmd = "SELECT * FROM table"
# 用DBAPI构建数据库链接engine
con = pymysql.connect(host=localhost, user=username, password=password, database=dbname, charset='utf8', use_unicode=True)
df = pd.read_sql(sql_cmd, con)