11.5.2 不同區域銷售業績的比較
爲了分析該企業的商品在不同區域的銷售業績情況，繪製了銷售額的雷達圖，Python代碼如下：
# -*- coding: utf-8 -*-
#聲明Notebook類型，必須在引入pyecharts.charts等模塊前聲明
from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB
from pyecharts import options as opts
from pyecharts.charts import Page, Radar
from impala.dbapi import connect
#連接Hadoop數據庫
v1 = []
v2 = []
v3 = []
conn = connect(host='192.168.1.7', port=10000, database='sales',auth_mechanism='NOSASL',user='root')
cursor = conn.cursor()
#讀取Hadoop表數據
sql_num = "SELECT region,ROUND(SUM(sales)/10000,2),ROUND(SUM(profit)/10000,2) FROM orders WHERE dt=2019 GROUP BY region"
cursor.execute(sql_num)
sh = cursor.fetchall()
for s in sh:
v1.append(s[0])
v2.append(s[1])
v3.append(s[2])
#畫雷達圖
def radar_base() -> Radar:
c = (
Radar()
.add_schema(
schema=[
opts.RadarIndicatorItem(name="華東", max_=200),
opts.RadarIndicatorItem(name="華南", max_=200),
opts.RadarIndicatorItem(name="東北", max_=200),
opts.RadarIndicatorItem(name="中南", max_=200),
opts.RadarIndicatorItem(name="西南", max_=200),
opts.RadarIndicatorItem(name="西北", max_=200),
]
)
.add("銷售額", [v2])
.add("利潤額", [v3])
.set_global_opts(
title_opts=opts.TitleOpts(title="區域銷售額與利潤額的比較分析", subtitle="2019年企業經營狀況"),
legend_opts=opts.LegendOpts(selected_mode="single"),
toolbox_opts=opts.ToolboxOpts()
)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
)
return c
#第一次渲染時候調用load_javasrcript文件
radar_base().load_javascript()
#展示數據可視化圖表
radar_base().render_notebook()
在Jupyter lab中運行上述代碼，生成如圖11-5所示的雷達圖。
圖11-5 雷達圖