Mysql 脚本示例:
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';
# -*- coding: utf-8 -*-
#import numpy
import MySQLdb
import plotly.plotly
import plotly.graph_objs as pg
host = "localhost"
port = 3306
user = "root"
passwd = "mysql"
charset = "utf8"
dbname = "test"
conn = None
try:
conn = MySQLdb.Connection(
host = host,
port = port,
user = user,
passwd = passwd,
db = dbname,
charset = charset
)
cur = conn.cursor(MySQLdb.cursors.DictCursor)
cur.execute("select * from demo;")
rows = cur.fetchall()
#rows = numpy.array(rows)
lists = [[],[],[],[]]
for row in rows:
lists[0].append(row["product"])
lists[1].append(row["price"])
lists[2].append(row["quantity"])
lists[3].append(row["amount"])
#print(lists)
#print(lists[0])
#print(([x[0] for x in lists]))
date_price = pg.Bar( x=lists[0], y=lists[1], name='价格')
date_quantity = pg.Bar( x=lists[0], y=lists[2], name='数量')
date_amount = pg.Bar( x=lists[0], y=lists[3], name='总价')
data = [date_price, date_quantity, date_amount]
#barmode = [stack,group,overlay,relative]
layout = pg.Layout( barmode='group',title="各产品销售情况" )
fig = pg.Figure(data=data, layout=layout)
plotly.offline.plot(fig, filename = "C:/Users/huangzecheng/Desktop/test.html")
finally:
if conn:
conn.close()