10.4.1 涟漪散点图及其参数配置
涟漪散点图是一类特殊的散点图,只是散点图中带有涟漪特效,利用特效可以突出显示某些想要的数据。
10.4.2 不同收入等级客户价值分析
为了分析该企业不同收入等级客户的价值,绘制了不同等级客户的涟漪散点图,Python代码如下:
# -*- coding: utf-8 -*-
#声明Notebook类型,必须在引入pyecharts.charts等模块前声明
from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB
from pyecharts import options as opts
from pyecharts.charts import EffectScatter, Page
from pyecharts.globals import SymbolType
from impala.dbapi import connect
#提取Hadoop集群数据
v1 = []
v2 = []
conn = connect(host='192.168.1.7', port=10000, database='sales',auth_mechanism='NOSASL',user='root')
cur = conn.cursor()
sql_num = "SELECT income,ROUND(SUM(sales/10000),2) FROM customers,orders WHERE customers.cust_id=orders.cust_id and dt=2019 GROUP BY income"
cur.execute(sql_num)
sh = cur.fetchall()
for s in sh:
v1.append(s[0])
v2.append(s[1])
def effectscatter_splitline() -> EffectScatter:
c = (
EffectScatter()
.add_xaxis(v1)
.add_yaxis("", v2, symbol=SymbolType.ARROW)
.set_global_opts(
title_opts=opts.TitleOpts(title="不同收入等级客户的价值分析", subtitle="2019年企业经营现状"),
xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
yaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
toolbox_opts=opts.ToolboxOpts(),
legend_opts=opts.LegendOpts(is_show=True)
)
)
return c
#第一次渲染时候调用load_javasrcript文件
effectscatter_splitline().load_javascript()
#展示数据可视化图表
effectscatter_splitline().render_notebook()
在Jupyter lab中运行上述代码,生成如图10-4所示的涟漪散点图。
图10-4 客户价值分析