Python利用Plotly实现对MySQL中的数据可视化

Posted 2020-11-03 生活会辜负努力的人，但不会辜负一直努力的人

Mysql表数据：

demo.sql内容

create table demo(
 id int
,product varchar(50)
,price decimal(18,2)
,quantity int
,amount decimal(18,2)
,orderdate datetime
);
insert into demo
select 1,\'AAA\',15.2,5,76,\'2017-09-09\' union all
select 2,\'BBB\',10,6,60,\'2016-05-18\' union all
select 3,\'CCC\',21,11,231,\'2014-07-11\' union all
select 4,\'DDD\',55,2,110,\'2016-12-24\' union all
select 5,\'EEE\',20,4,80,\'2017-02-08\' union all
select 6,\'FFF\',45,2,90,\'2016-08-19\' union all
select 7,\'GGG\',33,5,165,\'2017-10-11\' union all
select 8,\'HHH\',5,40,200,\'2014-08-30\' union all
select 9,\'III\',3,20,60,\'2015-02-25\' union all
select 10,\'JJJ\',10,15,150,\'2015-11-02\';

 

实现效果如下：

 

Python代码：

 1 import pymysql
 2 import pandas as pd
 3 import plotly.plotly
 4 import plotly.graph_objs as pg
 5 
 6 
 7 def bar_chart(host, port, user, passwd, dbname, charset,output_path):
 8     try:
 9         conn = pymysql.Connection(
10             host=host,
11             port=port,
12             user=user,
13             passwd=passwd,
14             db=dbname,
15             charset=charset
16         )
17         cur = conn.cursor()
18         cur.execute("select * from demo;")
19         # cursor对象使用MySQL查询字符串执行查询，返回一个包含多个元组的元组——每行对应一个元组
20         rows = cur.fetchall()
21         # print(rows)
22 
23         # 使用Pandas的DataFrame来处理每一行要比使用一个包含元组的元组方便
24         # 下面的Python代码片段将所有行转化为DataFrame实例
25         df = pd.DataFrame([[ij for ij in i] for i in rows])
26         print(df)
27         df.rename(columns={0: \'id\', 1: \'product\', 2: \'price\', 3: \'quantity\', 4: \'amount\', 5: \'orderdate\'}, inplace=True)
28         # df = df.sort([\'LifeExpectancy\'], ascending=[1])
29 
30         date_price = pg.Bar(x=df["product"], y=df["price"], name=\'价格\')
31         date_quantity = pg.Bar(x=df["product"], y=df["quantity"], name=\'数量\')
32         date_amount = pg.Bar(x=df["product"], y=df["amount"], name=\'总价\')
33         data = [date_price, date_quantity, date_amount]
34 
35         layout = pg.Layout(barmode=\'group\', title="各产品销售情况")
36         fig = pg.Figure(data=data, layout=layout)
37         plotly.offline.plot(fig, filename=output_path)
38 
39     finally:
40         if conn:
41             conn.close()
42 
43 
44 if __name__ == \'__main__\':
45     output_path = "C:/Users/fuqia/Desktop/bar.html"
46     bar_chart("localhost", 3306, "root", "123456", "test", "utf8", output_path)

 

 输出df内容如下：