📘 5种高级可视化图表/桑基图 (Sankey Diagram).ipynb

# 桑基图可视化数据流，非常适合能源、材料和财务数据。
# 以 Matthew Henry Phineas Riall Sankey 命名，它显示了系统各阶段或部分之间的流量。
# 节点宽度与流量数量成比例，易于理解数据规模和方向。

import plotly.graph_objects as go

labels = ["Coal", "Solar", "Wind", "Nuclear", "Residential", "Industrial", "Commercial"]

source = [0, 1, 2, 3, 0, 1, 2, 3] 
target = [4, 4, 4, 4, 5, 5, 5, 5] 
value = [25, 10, 40, 20, 30, 15, 25, 35] 

# Create the Sankey diagram object
fig = go.Figure(data=[go.Sankey(
    node=dict(
        pad=15,  
        thickness=20, 
        line=dict(color="black", width=0.5),
        label=labels 
    ),
    link=dict(
        source=source,  
        target=target, 
        value=value  
    ))])

fig.update_layout(title_text="Energy Flow in Model City", font_size=12)
fig.show()