Python绘制桑基图之可视化神器pyecharts

目录

 

桑基图

桑基图系列模板

第一个桑基图

复杂桑基图

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桑基图

桑基图（Sankey diagram），即桑基能量分流图，也叫桑基能量平衡图。它是一种特定类型的流程图，图中延伸的分支的宽度对应数据流量的大小，通常应用于能源、材料成分、金融等数据的可视化分析。因1898年Matthew Henry Phineas Riall Sankey绘制的“蒸汽机的能源效率图”而闻名，此后便以其名字命名为“桑基图”。

 

桑基图最明显的特征就是，始末端的分支宽度总和相等，即所有主支宽度的总和应与所有分出去的分支宽度的总和相等，保持能量的平衡。

 

桑基图系列模板

第一个桑基图

 

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="标题"))
    .render("桑基图.html")
)

 

 

复杂桑基图

 

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

colors = [
    "#67001f",
    "#b2182b",
    "#d6604d",
    "#f4a582",
    "#fddbc7",
    "#d1e5f0",
    "#92c5de",
    "#4393c3",
    "#2166ac",
    "#053061",
]
nodes = [
    {"name": "a"},
    {"name": "b"},
    {"name": "a1"},
    {"name": "b1"},
    {"name": "c"},
    {"name": "e"},
]
links = [
    {"source": "a", "target": "a1", "value": 5},
    {"source": "e", "target": "b", "value": 3},
    {"source": "a", "target": "b1", "value": 3},
    {"source": "b1", "target": "a1", "value": 1},
    {"source": "b1", "target": "c", "value": 2},
    {"source": "b", "target": "c", "value": 1},
]
c = (
    Sankey()
    .set_colors(colors)
    .add(
        "sankey",
        nodes=nodes,
        links=links,
        pos_bottom="10%",
        focus_node_adjacency="allEdges",
        orient="vertical",
        linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.5, color="source"),
        label_opts=opts.LabelOpts(position="top"),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="标题"),
        tooltip_opts=opts.TooltipOpts(trigger="item", trigger_on="mousemove"),
    )
    .render("复杂桑基图.html")
)

 

 

这个桑基图的案例已经可以完成你的可视化工作量了，其实一般研究桑基图的还是相对于比较少。

 

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