Python可视化神器pyecharts绘制桑基图
作者：王小王_123
这篇文章主要介绍了Python可视化神器pyecharts绘制桑基图，即桑基能量分流图，也叫桑基能量平衡图，更多相关介绍具有一定的参考价值，需要的朋友可以参考一下
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。
到此这篇关于Python可视化神器pyecharts绘制桑基图的文章就介绍到这了,更多相关pyecharts绘制桑基图内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家！