Python3实现mysql连接和数据框的形成

# -*- coding:utf-8 -*-
# __author__ = "LQ"
import pymysql
import pandas as pd
import numpy as np
from sklearn import preprocessing

#返回数据库连接
def dbcconnect():
    conn = pymysql.connect(host='ip', port=3306, user='username', passwd='password',db='db')
    return conn

#接收sql返回查询结果
def selects(sql):
    conn=dbcconnect()
    cursor = conn.cursor()
    cursor.execute(sql)
    # 获取剩余结果所有数据
    results = cursor.fetchall()
    conn.commit()
    cursor.close()
    return results

#接收sql返回数据框
def selectDf(sql):
    conn=dbcconnect()
    cursor = conn.cursor()
    cursor.execute(sql)
    # 获取剩余结果所有数据
    results = cursor.fetchall()
    # 获取列名
    cols = [i[0] for i in cursor.description]
    # sql内表转换pandas的DF
    df = pd.DataFrame(np.array(results), columns=cols).astype(float)
    conn.commit()
    cursor.close()
    return df
# -*- coding:u