《Python數據可視化之Matplotlib與Pyecharts》之漏斗圖

11.2.2  華東地區各省市利潤額分析

爲了分析該企業的商品在華東地區各省市的利潤額情況，繪製了利潤額的漏斗圖，Python代碼如下：

#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 Funnel, Page

from impala.dbapi import connect

 

#連接Hadoop數據庫

v1 = []

v2 = []

conn = connect(host='192.168.1.7', port=10000, database='sales',auth_mechanism='NOSASL',user='root')

cursor = conn.cursor()

#讀取Hadoop數據

sql_num = "SELECT province,ROUND(SUM(profit),2) FROM orders WHERE dt=2019 and region='華東' GROUP BY province"

cursor.execute(sql_num)

sh = cursor.fetchall()

for s in sh:

    v1.append(s[0])

    v2.append(s[1])

   

#畫漏斗圖

def funnel_label() -> Funnel:

    c = (

        Funnel()

        .add("利潤額",

            [list(z) for z in zip(v1, v2)],

            sort_="descending",               #默認是sort_="descending"即從大到小，也可以設置爲ascending即反向漏斗

            label_opts=opts.LabelOpts(position="inside"),

        )

        .set_global_opts(title_opts=opts.TitleOpts(title="區域利潤額比較分析", subtitle="2019年企業經營狀況"),

                         toolbox_opts=opts.ToolboxOpts(),

                         legend_opts=opts.LegendOpts(is_show=True)

                        )

    )

    return c

 

#第一次渲染時候調用load_javasrcript文件

funnel_label().load_javascript()

#展示數據可視化圖表

funnel_label().render_notebook()

在Jupyter lab中運行上述代碼，生成如圖11-2所示的漏斗圖。

                                                                                                 圖11-2  漏斗圖