畫圖神器pyecharts-?；鶊D

Echarts是一個(gè)由百度開源的數(shù)據(jù)可視化，憑借著良好的交互性，精巧的圖表設(shè)計(jì)，得到了眾多開發(fā)者的認(rèn)可。而 Python 是一門富有表達(dá)力的語言，很適合用于數(shù)據(jù)處理。當(dāng)數(shù)據(jù)分析遇上數(shù)據(jù)可視化時(shí)，pyecharts 誕生了。

上周畫的旭日圖：畫圖神器pyecharts-旭日圖，閱讀比較多，看來比較受歡迎，今天再介紹個(gè)桑基圖，也是非常好用的圖。

桑基圖（Sankey diagram），即?；芰糠至鲌D，也叫?；芰科胶鈭D。它是一種特定類型的流程圖，圖中延伸的分支的寬度對應(yīng)數(shù)據(jù)流量的大小，通常應(yīng)用于能源、材料成分、金融等數(shù)據(jù)的可視化分析。

一、基本繪圖

from pyecharts import options as opts
from pyecharts.charts import Sankey

nodes = [
    {"name": "category1"},
    {"name": "category2"},
    {"name": "category3"},
    {"name": "category4"},
    {"name": "category5"},
    {"name": "category6"},
]

links = [
    {"source": "category1", "target": "category2", "value": 10},
    {"source": "category2", "target": "category3", "value": 15},
    {"source": "category3", "target": "category4", "value": 20},
    {"source": "category5", "target": "category6", "value": 25},
]
c = (
    Sankey()
    .add(
        "sankey",
        nodes,
        links,
        linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.5, color="source"),
        label_opts=opts.LabelOpts(position="right"),
    )
    .set_global_opts(title_opts=opts.TitleOpts(title="Sankey-基本示例"))
    .render("sankey_base.html")
)

二、復(fù)雜繪圖

import asynciofrom?aiohttp?import?TCPConnector,?ClientSessionimport pyecharts.options as optsfrom pyecharts.charts import Sankey#?獲取官方的數(shù)據(jù)，如果下載不了，直接從網(wǎng)站獲取即可https://echarts.apache.org/examples/data/asset/data/energy.jsondata = asyncio.run(    get_json_data(url="https://echarts.baidu.com/examples/data/asset/data/energy.json"))
(    Sankey(init_opts=opts.InitOpts(width="1600px", height="800px"))    .add(        series_name="",        nodes=data["nodes"],        links=data["links"],        itemstyle_opts=opts.ItemStyleOpts(border_width=1, border_color="#aaa"),        linestyle_opt=opts.LineStyleOpts(color="source", curve=0.5, opacity=0.5),        tooltip_opts=opts.TooltipOpts(trigger_on="mousemove"),    )    .set_global_opts(title_opts=opts.TitleOpts(title="Sankey Diagram"))    .render("sankey_diagram.html"))

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