pyecharts桑基图指定节点颜色

你可以通过设置 `visualmap` 来指定桑基图中节点的颜色，示例如下:

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

nodes = [
    {"name": "A"},
    {"name": "B"},
    {"name": "C"},
    {"name": "D"},
    {"name": "E"},
]

links = [
    {"source": "A", "target": "B", "value": 10},
    {"source": "A", "target": "C", "value": 15},
    {"source": "B", "target": "D", "value": 12},
    {"source": "C", "target": "D", "value": 8},
    {"source": "C", "target": "E", "value": 5},
]

color = ['#003366', '#006699', '#4cabce', '#e5323e', '#f29c9f']

sankey = (
    Sankey()
    .add(
        "sankey",
        nodes,
        links,
        linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.5),
        label_opts=opts.LabelOpts(position="right"),
        color=color,
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Sankey Diagram"),
        visualmap_opts=opts.VisualMapOpts(
            orient="horizontal",
            pos_left="10",
            pos_top="10",
            max_=20,
            min_=0,
            range_text=["High", "Low"],
            dimension=0,
            range_color=color,
        ),
    )
)

sankey.render_notebook()

在上述代码中，我们通过 `color` 参数设置了每个节点的颜色，然后在 `add()` 方法中通过 `color` 参数将颜色应用到节点上。此外，我们还设置了 `visualmap` 来显示节点颜色的范围，并在 `set_global_opts()` 中指定了 `visualmap_opts` 参数。