python folium

지도 그리기
https://mkjjo.github.io/python/2019/08/18/korea_population.html

import folium
m = folium.Map(location=[37.6, 127], tiles="OpenStreetMap", zoom_start=13)

https://github.com/vuski/admdongkor
한글 주소 체계
geojson 이용

nodeData = 'C:\\Users\\~~~\\Downloads\\HangJeongDong_ver20200401.geojson'
nodeData = open(nodeData, encoding = "utf-8").read()

import json
nodes = json.loads(nodeData)

geo_json = folium.GeoJson(nodeData, tooltip=folium.GeoJsonTooltip(fields=['adm_nm']))
geo_json = folium.GeoJson(nodes, tooltip=folium.GeoJsonTooltip(fields=['adm_nm']), smooth_factor=10)

geo_json.add_to(m)

line 7-8: string이나 json으로 변환된 변수나 모두 적용가능
smooth_factor 값이 크면, performance 상승(smoothness와 trade-off) ¹⁾
GeoJsonTooltip 에 Series 를 넣으면 자동으로 tooltip 생성
GeoJsonPopUp 은 버전 때문에 안되는듯?

from tqdm import tqdm
for x in tqdm(dcd):
    for i,l in enumerate(li):
        tmp = df[df.dv_nm==l][df.admin_dcd==x]
        lat = tmp['y_codn'].mean()
        lon = tmp['x_codn'].mean()
        count = len(tmp)
        if pd.isnull(lat) or pd.isnull(lon):
            continue
        folium.CircleMarker((lat,lon), radius=count / 5, color=col[i], fill_color=col[i], popup=count).add_to(m)

folium.LayerControl(collapsed=False).add_to(m)

li,col : dv_nm 에 따라 색을 다르게 함

from tqdm import tqdm
for x in tqdm(range(len(df))):

    if df.iloc[x,:]['dv_nm'] == '@@':
        color = 'blue'
    elif df.iloc[x,:]['dv_nm'] == '##':
        color = 'red'

    location = (latitude[x], longitude[x])
    folium.Marker(location, popup=df.iloc[x,:]['nm'], icon=folium.Icon(color=color)).add_to(m)

Zoom에 따라서 Cluster 를 만들어줌

from folium.plugins import MarkerCluster
mc = MarkerCluster()

for i,row in tqdm(df_store.iterrows()):
    lat = row['y_codn']
    lon = row['x_codn']
    if math.isnan(lat) or math.isnan(lon):
        continue
    #folium.Marker((lat,lon), popup=row['pos_nm'], icon=folium.Icon(color='blue')).add_to(m)

    mc.add_child(folium.Marker(location=[lat,lon], popup=row['pos_nm']))

m.add_child(mc)
# Save to html
m.save(os.path.join('', 'map.html'))

https://medium.com/@bobhaffner/folium-markerclusters-and-fastmarkerclusters-1e03b01cb7b1
https://www.reddit.com/r/learnpython/comments/bg6w3f/hey_guys_im_struggling_to_create_a_geojson/
https://python-visualization.github.io/folium/quickstart.html#Markers

zoom 에 따라서 Cluster 를 만들어줌.
Fast는 javascript에서 직접 실행해서 더 빠름

from folium.plugins import FastMarkerCluster

callback = ("""function (row) {
                        var circle = L.circle(new L.LatLng(row[0], row[1]), {color: "blue", radius: row[2]});

                        var popup = L.popup({maxWidth: '300'});
                        const display_text = {text: row[2]};
                        var mytext = $(`<div id='mytext' class='display_text' style='width: 100.0%; height: 100.0%;'> ${display_text.text}</div>`)[0];
                        popup.setContent(mytext);
                        circle.bindPopup(popup);

                        return circle;
             };""")
m.add_child(FastMarkerCluster(df[df.dv_nm==li[1]][['y_codn', 'x_codn','count']].values.tolist(), callback=callback))

callback = ('function (row) {'
            	'var marker = L.marker(new L.LatLng(row[0], row[1]), {color: "blue"});'
            	'var icon = L.AwesomeMarkers.icon({'
                            "icon: 'info-sign',"
                            "iconColor: 'white',"
                            "markerColor: 'blue',"
                            "prefix: 'glyphicon',"
                            "extraClasses: 'fa-rotate-0'"
            	'});'
            	'marker.setIcon(icon);'
            	"var popup = L.popup({maxWidth: '300'});"
            	"const display_text = {text: row[2]};"
            	"var mytext = $(`<div id='mytext' class='display_text' style='width: 100.0%; height: 100.0%;'> ${display_text.text}</div>`)[0];"
            	"popup.setContent(mytext);"
            	"marker.bindPopup(popup);"
            	'return marker};')
m.add_child(FastMarkerCluster(df[['y_codn', 'x_codn', 'nm']].dropna().values.tolist(), callback=callback))

row[0,1,2] 를 사용
popup

m.save(os.path.join('', 'map.html'))