# 新建数据库 存储iris数据
CREATE DATABASE `Iris_Data`;

USE `Iris_data`;

#iris 表格
CREATE TABLE `iris`(
    `sepal length` int,
    `sepal width` int,Iris_Data
    `petal length` int,
    `petal width` int,
    `target` VARCHAR(100) 
);

DROP TABLE `iris`;

CREATE TABLE `iris`(
    `sepal_length` FLOAT NULL,
    `sepal_width` FLOAT NULL,
    `petal_length` FLOAT NULL,
    `petal_width` FLOAT NULL,
    `target` VARCHAR(100) NULL
);

INSERT INTO `iris`(`sepal_length`,`sepal_width`,`petal_length`,`petal_width`,`target`) VALUE (5.1,3.5,1.4,0.2,"setosa");

python 插入数据库代码

# -- coding: utf-8 --
import MySQLdb
import pandas as pd

#将获取链接封装成calss
class MysqlSearch(object):  # 让MysqlSearch类继承object对象

    def __init__(self): # 在初始化的时候调用
        self.get_conn()


    def get_conn(self): # 数据库链接
        try:
            self.conn = MySQLdb.connect(
                host = "127.0.0.1",
                user = "root",
                passwd = "mysql123",
                db = "Iris_Data",
                port = 3306,
                charset = 'utf8'
                )
        except Exception as e:
            print("Error : %s" % e)

    def close_conn(self):   #关闭数据库
        try:
            if self.conn:
                # 关闭链接
                self.conn.close()
        except Exception as e:
            print("Error: %s" % e)

    def add_one(self,sepal_length, sepal_width, petal_length, petal_width, target):
        """事务处理"""
        try:
            # 准备SQL
            sql =(
                "INSERT INTO `iris` VALUE ( %s, %s, %s, %s, %s );"
            )
            # 出现换行的时候用一个元组扩起来。 应用双引号扩起来
            # 获取链接和cursor
            cursor = self.conn.cursor()
            # 执行SQL
            cursor.execute(sql, (sepal_length, sepal_width, petal_length, petal_width, target))
            # 错误
            # 提交数据到数据库
            """ 如果不提交的事务的话。就是 已经提交多数据库 但是没有被保存  """
            # 提交事务
            self.conn.commit()
            # 关闭cursor
            cursor.close()
        except :
            print("Error")
            # self.conn.commit() # 部分提交
            self.conn.rollback() # 回滚
        # 关闭链接
        self.close_conn()

    def add_more(self):
        try:
            sql =(
                "INSERT INTO `iris` VALUE ( %s, %s, %s, %s, %s );"
            )
            cursor = self.conn.cursor()
            df =  pd.DataFrame(pd.read_csv('iris.csv',header=None))

            for index in df.index:
                sepal_length = df.loc[index].values[0]
                sepal_width = df.loc[index].values[1]
                petal_length = df.loc[index].values[2]
                petal_width = df.loc[index].values[3]
                target = df.loc[index].values[4]
                print(sepal_length, sepal_width, petal_length, petal_width, target)
                cursor.execute(sql, (sepal_length, sepal_width, petal_length, petal_width, target))
            self.conn.commit()
            cursor.close()
            
        except :
            print("Error")
            self.conn.rollback()
        self.close_conn()
        pass    

def main():
    obj = MysqlSearch()
    obj.add_more()
    print("************************** Finish **************************")

if __name__ == '__main__':
    main()
   

存储工程学习

1.1python大文件分块下载，文件分块1024=1M

import requests
file_url = "http://aima.cs.berkeley.edu/data/iris.csv" # iris数据集下载地址
request_file =  requests.get(file_url, stream=True)
with open("iris.csv", "wb") as iris:
    for chunk in request_file.iter_content(chunk_size=1024):
        if chunk:
            iris.write(chunk)

1.2 pandas读数据

import pandas as pd
df =  pd.DataFrame(pd.read_csv('iris.csv',header=None))  # 无表头
df.info()
a = df.shape
df.head()