Python学习随笔（1）--可视化工具plotly使用

把数据库某列数据取出来，然后再在本地生成html文件形成可视化视图显示

#!/usr/bin/python
# coding=utf-8

import pymysql
import plotly.plotly
from plotly.graph_objs import *
import plotly.graph_objs as abc # 必须

host = "192.168.10.111"
user = "*****"
passwd = "*****"
db = "api_test"
port = 3306
charset = "utf8"
# 新建链接
conn = pymysql.connect(
host=host,
port=port,
user=user,
passwd=passwd,
db=db,
charset=charset,
)
# 获取链接
cur = conn.cursor()
# 执行sql
re = cur.execute("SELECT * FROM api_result WHERE api_name = \"/article/list/userfeed\"")
# 返回结果
dfs = cur.fetchall()
# 存放查询结果
sss = []
# 排除异常数据
for row in dfs:
if row[7] < 1:
sss.append(row[7])
# 关闭链接
cur.close()
conn.commit()
conn.close()
# 获取结果长度
length = sss.__len__()
# 新建x轴数组
listx = []
for i in range(length):
listx.append(i)
data_1 = abc.Scatter(
x=listx,
y=sss,
name='test1', # 名称
mode='markers',
# 格式
marker=dict(
size=10, # 点的大小
color="rgba(255,47,167,.9)", # 点的颜色
line=dict( # 点外围环的属性
width=2, # 环的宽度
color='rgb(2,2,2)' # 环的颜色
)
)
)
data1 = Data([data_1])
plotly.offline.plot(data1)