import pandas as pd
import pymysql
## 加上字符集参数,防止中文乱码
dbconn=pymysql.connect(
host="**********",
database="kimbo",
user="kimbo_test",
password="******",
port=3306,
charset='utf8'
)
#sql语句
sqlcmd="select col_name,col_type,col_desc from itf_datadic_dtl_d limit 10"
#利用pandas 模块导入mysql数据
a=pd.read_sql(sqlcmd,dbconn)
#取前5行数据
b=a.head()
print(b)
2.获取某个数据库有哪些表
import pymysql
# 打开数据库连接
conn = pymysql.connect(host='127.0.0.1', user='root', passwd='222000', db='test')
# 测试下数据库连接成功不成功
print(conn)
# 使用cursor()方法获取操作游标
cur = conn.cursor()
# SQL插入语句
sql = "show tables"
# 执行sql语句
cur.execute(sql)
# 获取所有记录列表
results = cur.fetchall()
print(results)
# 关闭数据库连接
conn.close()
3. ORM框架
from sqlalchemy import create_engine
engine = create_engine('mysql+pymysql://root:*****@129.207.298.179:3306/graylog?charset=utf8',
encoding='utf-8')
sql = "show tables"
result = engine.execute(sql)
res = result.fetchall()
print(res)
conn = create_engine('mysql+pymysql://root:222000@127.0.0.1:3306/graylog?charset=utf8', encoding='utf-8')
a = pd.read_sql_table('2017-04', conn)
# 有时上面的那条会报错,用下面这个看看可以不
firmware = pd.read_sql_query('select * from firmname', conn)
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