這次帶給大家Python呼叫mysql更新資料的方法，Python呼叫mysql更新資料的注意事項有哪些，以下就是實戰案例，一起來看一下。
本文實例講述了Python透過呼叫mysql預存程序實現更新資料功能。分享給大家供大家參考，具體如下：
一、需求分析
由於管理費率配置錯誤，產生訂單的還本付息表和訂單表的各種金額，管理費之間的計算都有錯誤，需要進行資料訂正。為此，為了造個輪子，以後省很多功夫，全部用程序去修正，不接入人工。
二、帶參數mysql 預存程序建立
#1、更新訂單付款表（t_order_rapay）
#drop procedure if exists update_t_order_rapay; delimiter $$ create procedure update_t_order_rapay(IN orderNo varchar(64)) begin declare t_order_no varchar(64); set t_order_no=orderNo; UPDATE t_order_repay SET total_amount=principal+interest+round(manage_amount*0.0808/0.052,3)+breach_amount, left_amount=principal+interest+round(manage_amount*0.0808/0.052,3)+breach_amount, left_repay_manager=round(manage_amount*0.0808/0.052,3), manage_amount=round(manage_amount*0.0808/0.052,3) WHERE order_no=t_order_no; end $$ delimiter;
2、更新訂單表（t_order_info）
drop procedure if exists update_t_order_info; delimiter $$ create procedure update_t_order_info(IN orderNo varchar(64)) begin declare t_order_no varchar(64); set t_order_no=orderNo; SELECT left_amount into @m1 from t_order_repay WHERE order_no=t_order_no ORDER BY plan_time LIMIT 1; UPDATE t_order_info set manage_cost_rate=0.0808, manage_cost=round(manage_cost*0.0808/0.052,3), left_amount=borrow_amount+interest_amount+manage_cost, next_amount_need=@m1 WHERE order_no=t_order_no; end $$ delimiter;
3、python 呼叫mysql 中的預存程序
# encoding: utf-8
import time
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
time1 = time.time()
import pandas as pd
import pymysql
############################################从数据库读数据###########################################
###########线上######################
# 加上字符集参数，防止中文乱码
# conn=pymysql.connect(
# host="##########",
# database="######",
# user="####",
# password="##########",
# port=#######,
# charset='utf8'
# )
# #############测试库######################
# ## 加上字符集参数，防止中文乱码
# conn=pymysql.connect(
# host="172.16.34.32",
# database="#########",
# user="admin",
# password="##############",
# port=#########,
# charset='utf8'
# )
#sql语句(安徽）
# sqlcmd="""
# SELECT order_no from t_order_info WHERE offline_org_no in(
# 0032,0035,0036
#
#
# ) and substr(create_time,1,10)>="2017-10-31"
#
# and `status` in(105,106,107,108)
#
# and manage_cost_rate=0.052
#
#
# """
#################sql语句（江苏）
# sqlcmd2="""
# SELECT order_no from t_order_info WHERE offline_org_no in(
# 0002,0005,0006,0007,0008,0009,0010,0011,0012,0013,0014,0017,0018,0019,0025,0026,0027,0028,0030,0031,0033,0034
# ) and substr(create_time,1,10)>="2017-10-31"
# and `status` in(105,106,107,108)
# and manage_cost_rate=0.052
#
# """
#利用pandas 模块导入mysql数据
# data=pd.read_sql(sqlcmd2,conn)
# print data
#
#
# ###################更新order_rapay表
# for each in data["order_no"]:
# print each
# # 创建游标
# cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
# #有参数存储过程
# cursor.execute('call update_t_order_rapay(%s)',(each))
# conn.commit()
#
# print "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%"
# #####################更新order_info表###################
# for each in data["order_no"]:
# print each
#
# # 创建游标
# cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
# #有参数存储过程
# cursor.execute('call update_t_order_info(%s)', (each))
# conn.commit()
#
#
# cursor.close()
# print '调用存储过程完毕................'
# conn.close()
# time2=time.time()
# print u'总共耗时：' + str(time2 - time1) + 's'相信看了本文案例你已經掌握了方法，更多精彩請關注php中文網其它相關文章！
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