FeatureGroupSubGroup: nth level subgroups

Bắt đầu với cấu trúc FeatureGroupSubGroup được cung cấp và TESTING.html được tạo trong bản tái hiện Jupyter/VS Code; xác minh xem các nhóm con lồng nhau vượt quá một cấp có được biểu diễn và chuyển đổi như mong đợi hay không. Xác định hành vi mong muốn cho cấp thứ n và xác nhận hành vi đó bằng một bản tái hiện bản đồ tối thiểu, bao gồm điều kiện hiển thị điểm đã nêu.

Describe the bug
I am using quite a few levels of recursion to generate a map that has subgroups within subgroups, and im not sure how to fix the issue, or if there is a better method.

To Reproduce
theres alot going on here... the repeated for loops are to keep the buttons ordered by hierarchy.

import folium
from folium import plugins

#####################################################################################
coord = df['Location'].apply(fetch_lat_lon)
df['Lat'] = coord.apply(lambda x: x[0] if isinstance(x, tuple) else None)
df['Long'] = coord.apply(lambda x: x[1] if isinstance(x, tuple) else None)

df['Result'] = (~df['Impounded'].isna().astype(int)).apply(lambda x: _results[x])
df['Interval'] = (datetime.now() - df.index).days
df['Weekday'] = df.index.weekday.map(lambda x: _days[x])
df['Time'] = df.index.hour

df = df[~df['ID'].isna()]                                                           
#####################################################################################
m = folium.Map(location=[0, 0], zoom_start=14)


results = {}
intervals = {}
days = {}
times = {}

_results = ['Complete', 'Canceled']
_intervals = [7, 30, 90, 365] ## days before now
_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
_times = range(24)

for result in _results:

    results[result] = folium.FeatureGroup(name = result)
    m.add_child(results[result])

for result in _results:
    for interval in _intervals: 

        intervals[f'{result}_{interval}'] = plugins.FeatureGroupSubGroup(results[result], f'{interval} Days')
        m.add_child(intervals[f'{result}_{interval}'])

for result in _results:
    for interval in _intervals: ## days before now
        for day in _days:

            days[f'{result}_{interval}_{day}'] = plugins.FeatureGroupSubGroup(intervals[f'{result}_{interval}'], day)
            m.add_child(days[f'{result}_{interval}_{day}'])

for result in _results:
    for interval in _intervals: ## days before now
        for day in _days:
            for time in _times:
                
                if time < 12:
                    if time !=0:
                        times[f'{result}_{interval}_{day}_{time}'] = plugins.FeatureGroupSubGroup(days[f'{result}_{interval}_{day}'], f'{time} AM')
                        m.add_child(times[f'{result}_{interval}_{day}_{time}'])
                    else: 
                        times[f'{result}_{interval}_{day}_{time}'] = plugins.FeatureGroupSubGroup(days[f'{result}_{interval}_{day}'], f'{time + 12} AM')
                        m.add_child(times[f'{result}_{interval}_{day}_{time}'])
                elif time > 12:
                    times[f'{result}_{interval}_{day}_{time}'] = plugins.FeatureGroupSubGroup(days[f'{result}_{interval}_{day}'], f'{time - 12} PM')
                    m.add_child(times[f'{result}_{interval}_{day}_{time}'])
                else:
                    times[f'{result}_{interval}_{day}_{time}'] = plugins.FeatureGroupSubGroup(days[f'{result}_{interval}_{day}'], f'{time} PM')
                    m.add_child(times[f'{result}_{interval}_{day}_{time}'])

for result in _results:
    for interval in _intervals: ## days before now
        for day in _days:
            for time in _times:

                group = times[f'{result}_{interval}_{day}_{time}']

                condition = ((df['Result'] == result) &
                             (df['Interval'] <= interval) &
                             (df['Weekday'] == day) &
                             (df['Time'] == time)
                )

                _df = df[condition].dropna()

                for i in range(len(_df)):
                    lat = _df['Lat'].iloc[i] - _df['Lat'].mean()
                    long = _df['Long'].iloc[i] - _df['Long'].mean()

                    folium.Marker([lat, long]).add_to(group)
            
folium.LayerControl(collapsed=True).add_to(m)

m.save('TESTING.html')

Expected behavior
When all button conditions are met, points will display,

Environment (please complete the following information):

• chrome
• jupyter notebooks
• vs code