先上一个需求图片：用思维导图画的重卡换电站的配电系统图

图中，10-0-01表示10kV进线断路器，B01和B02代表两个变压器，4-0-01表示变压器的低压侧断路器，这个断路器会分成几段母线，分别接至各个负载的出线断路器，比如4-1-02等。如果智能箱变的物联网传过来的设备编号如下所示，如何画出上图中的配电接线呢？ 

swap_id = {'100550'}
vcb_id = {'10-1-01'}
transformer_id = {'B01'}
input_acb_id = {'4-0-01'}
output_acb_id = {'4-2-20', '4-1-01', '4-2-05', '4-2-51', '4-2-08', '4-1-06', '4-1-03', '4-2-50', '4-1-02', '4-2-04', '4-1-07'}

我找到了python可视化的包pyecharts，里面有一个树形图就是专门画这种思维导图的

第1个参数：symbol 标记的图形，根据下面的表格，我选了矩形

第2个参数：symbol_size 标记图形的大小，根据需求的样式，我设置成[50,20]

第3个参数：pos_left，标记左边的距离，为了防止标记互相重叠，我设置成50

第4个参数：edge_shape，连接线的样式，curve表示曲线，polyline表示折线，如需求图所示，我设置成polyline

第5个参数：initial_tree_depth，初始化时树的深度，因为树的层级过多，初始化时会自动收缩部分层级，为了全部显示所有层级，我设置成尽可能大的值：8

第6个参数：orient，思维导图的方向，如下图所示，我选择TB（从上到下）

最后，上代码，里面可以看到如何构建树形图的数据

from pyecharts import options as opts
from pyecharts.charts import Tree
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot
import pandas as pd

station_name = "重卡换电站"
swap_id_set = {'100550'}
vcb_id_set = {'10-1-01'}
transformer_id_set = {'B01'}
input_acb_set = {'4-0-01'}
output_acb_set = {'4-2-20', '4-1-01', '4-2-05', '4-2-51', '4-2-08', '4-1-06', '4-1-03', '4-2-50', '4-1-02', '4-2-04', '4-1-07'}
# 画出系统配置图
output_acb_dict = []
for item in list(output_acb_set):
    lv_bus = item.split('-')[1]
    output_acb_dict.append({
        'lv_bus': lv_bus,
        'load': item})
df_load = pd.DataFrame(output_acb_dict).groupby(['lv_bus'])['load'].apply(list).reset_index()
# 画出根结点：换电站编号
data = [{"name": list(swap_id_set)[0]}]
# 画出换电站编号的子结点：高压断路器编号
data[0]['children'] = [{"name": list(vcb_id_set)[0]}]
# 画出高压断路器的子结点：变压器编号
data[0]['children'][0]['children'] = [{"name": list(transformer_id_set)[0]}]
# 画出变压器的子结点：低压进线断路器编号
data[0]['children'][0]['children'][0]['children'] = [{"name": list(input_acb_set)[0]}]
# 画出低压进线断路器的子结点：低压母线
data[0]['children'][0]['children'][0]['children'][0]['children'] = []
for index, item in df_load.iterrows():
    lv_bus = item['lv_bus']
    data[0]['children'][0]['children'][0]['children'][0]['children'].append(
        {"name": f"{item['lv_bus']}段低压"}
    )
    data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'] = []
    # 在每段低压母线下画出负载
    for load in item['load']:
        load_code = int(load.split('-')[2])
        if load_code < 20:
            data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'].append(
                {
                    "name": load,
                    "children": [{"name": f"架载机{load_code}"}]
                }
            )
        elif 20 <= load_code < 30:
            data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'].append(
                {
                    "name": load,
                    "children": [{"name": "站用电"}]
                }
            )
        elif 30 <= load_code < 40:
            data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'].append(
                {
                    "name": load,
                    "children": [{"name": "SVG"}]
                }
            )
        elif 40 <= load_code < 50:
            data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'].append(
                {
                    "name": load,
                    "children": [{"name": "其它"}]
                }
            )
        elif 50 <= load_code < 60:
            data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'].append(
                {
                    "name": load,
                    "children": [{"name": "备用电"}]
                }
            )
        else:
            data[0]['children'][0]['children'][0]['children'][0]['children'][index]['children'].append(
                {
                    "name": load,
                    "children": [{"name": "充电桩"}]
                }
            )
c = (
    Tree()
    .add("", data, orient='TB', edge_shape='polyline', initial_tree_depth=8,
         symbol='rect', symbol_size=[50, 20], pos_left=50)
    .set_global_opts(title_opts=opts.TitleOpts(title=station_name))
)
make_snapshot(snapshot, c.render(), "配电系统图.png")