如何从叶面中删除叶片中的大胆蓝色轮廓颜色。

Question

我有以下geodataframe称为结果：

​

​。

​以及我想查看库库的位置对每个区域内的km总数有哪种类型的影响力。我要比较的变量是：t*_depot_0，2_depots，3_depots和4_depots。我想在每一层中使用fill_color orrd，以区分较深的红色和较低值的高值，较轻的橙色/黄色。通过具有图层控制，它将能够单击不同的绒毛膜，并查看每个区域内的总旅行距离上不同的仓库的区别。

我的代码：

def add_depot_markers_featuregroup(depot_amount, featuregroup): 
    for i in range(len(depots_locations)):
        if i > depot_amount:
            break
        folium.Marker(
                [depots_locations[i].y, depots_locations[i].x], 
                popup="Depot_{0}".format(i+1),
                icon=folium.Icon(color='cadetblue', icon='solid fa-bicycle', prefix='fa')).add_to(featuregroup)

result_map = folium.Map(location=lat_long_groningen, zoom_start=11, tiles=None)

layer_depot_1 = folium.FeatureGroup(name="1 depot", overlay=False).add_to(result_map)
layer_depot_2 = folium.FeatureGroup(name="2 depots", overlay=False).add_to(result_map)
layer_depot_3 = folium.FeatureGroup(name="3 depots", overlay=False).add_to(result_map)
layer_depot_4 = folium.FeatureGroup(name="4 depots", overlay=False).add_to(result_map)

fs=[layer_depot_1, layer_depot_2, layer_depot_3, layer_depot_4]
for i in range(len(fs)):
    add_depot_markers_featuregroup(i, fs[i])
    depot_column_name = ""
    if i == 0:  
        depot_column_name = "T*_depot_{0}".format(i) 
    else: 
        depot_column_name = "{0}_depots".format(i+1)
    
    bins = list(results[depot_column_name].quantile([0, 0.25, 0.5, 0.75, 1]))

    choropleth = folium.Choropleth(
        results, 
        data=results, 
        key_on='feature.properties.Postcode', 
        columns=["Postcode", depot_column_name], 
        fill_color="OrRd",
        fill_opacity = 0.8,
        line_opacity = 0,
        line_weight=1,
        bins=bins,
        legend_name = "T* per postalcode area based on depot {0}".format(i+1),
        name="T* of {0} depot per Postalcode area".format(i+1)).geojson.add_to(fs[i])
    
    geojson1 = folium.GeoJson(data=results, 
        name="tooltip " + depot_column_name,
        tooltip=folium.GeoJsonTooltip(fields=['Postcode', "Deliveries", "Area (km2)", "Number of cyclists", "Beardwood approx", depot_column_name], labels=True, sticky=True)
    ).add_to(choropleth)
   
# folium.TileLayer('cartodbdark_matter',overlay=True,name="dark mode").add_to(result_map)
folium.TileLayer('cartodbpositron',overlay=True, control=False, name="T*").add_to(result_map)
folium.LayerControl(collapsed=False).add_to(result_map)
result_map.save("lastmile.html")
result_map

好消息是层正在起作用。坏消息是，我在地图上的不同多边形和多数基因之间有非常大胆的蓝线，我不知道该如何更改/删除。我已经尝试设置Choropleth的line_color =“ Black”，但这无效。

如何删除/更改/最小化每个功能组中的大胆蓝色轮廓颜色？

Answer 1

由于没有显示数据，因此我引用。多边形轮廓的线装饰由样式函数定义。样品定义了颜色，线宽度和虚线。线宽是由“重量”设置的。

import json
import requests
import folium

url = ("https://raw.githubusercontent.com/python-visualization/folium/main/examples/data")
us_states = f"{url}/us-states.json"

geo_json_data = json.loads(requests.get(us_states).text)

m = folium.Map([43, -100], zoom_start=4)

folium.GeoJson(
    geo_json_data,
    style_function=lambda feature: {
        "fillColor": "#ffff00",
        "color": "black",
        "weight": 2,
        "dashArray": "5, 5",
    },
).add_to(m)

m