#!/usr/bin/python
# -*- coding:utf-8 -*-
# @filename: search
# @author:wwx399777 wuweiji
# @date: 2018/1/25 9:35
import pymysql
import pyecharts
from datetime import datetime
import pandas as pd
import numpy as np
import matplotlib as mpl
import re
def connect_mysql(sql, oper_type="select", data_l=None):
conn = pymysql.connect(host='localhost', user="root", password="***",
database="work", port=3306)
cur = conn.cursor()
if oper_type == "insert":
cur.executemany(sql, data_l)
conn.commit()
else:
cur.execute(sql)
result = cur.fetchall()
conn.close()
return result
def data_analysis():
sql = """
SELECT p.name, p.email, p.memo from personal_userinfo p
"""
x = connect_mysql(sql)
print(type(x), x)
x = list(x[2])
print(x)
return x
data_analysis()
def create_list(file_name):
ls = []
if not re.findall(file_name, r".txt"):
file_name += ".txt"
with open(file_name) as f:
for i in f:
name, email, memo = i.strip().split(",")
ls.append([name, email, memo, datetime.utcnow()])
return ls
def data_insert():
sql = """
INSERT INTO WORK.personal_userinfo (name, email, memo, date_time) VALUES (%s, %s, %s, %s)
"""
data_l = create_list("person_info")
connect_mysql(sql, oper_type="insert", data_l=data_l)
# data_insert()