Javascript 叶形图中的变化标记
我有一个脚本,通过folium在地图上绘制多个点。有没有办法改变标记的形状和颜色 它是否可以通过python代码或应用程序来完成并不重要Javascript 叶形图中的变化标记,javascript,python,leaflet,folium,Javascript,Python,Leaflet,Folium,我有一个脚本,通过folium在地图上绘制多个点。有没有办法改变标记的形状和颜色 它是否可以通过python代码或应用程序来完成并不重要 您可能会发现单独创建标记比首先构建GeoJSON对象更容易。这将很容易使您能够对其进行样式设置,如示例所示: map_1 = folium.Map(location=[45.372, -121.6972], zoom_start=12,tiles='Stamen Terrain') map_1.simple_marker([45.3288, -121.6625
您可能会发现单独创建标记比首先构建GeoJSON对象更容易。这将很容易使您能够对其进行样式设置,如示例所示:
map_1 = folium.Map(location=[45.372, -121.6972], zoom_start=12,tiles='Stamen Terrain')
map_1.simple_marker([45.3288, -121.6625], popup='Mt. Hood Meadows',marker_icon='cloud')
您可以尝试以下方法:
for i in range(0,len(data)):
folium.Marker([data['lat'][i], data['long'][i]],
#Make color/style changes here
icon = folium.Icon(color='green'),
).add_to(map_1)
下面是我如何用点绘制的。我实际上是在试着整理一份报告,尽管我仍在解决问题
import folium
import pandas as pd
#create a map
this_map = folium.Map(prefer_canvas=True)
def plotDot(point):
'''input: series that contains a numeric named latitude and a numeric named longitude
this function creates a CircleMarker and adds it to your this_map'''
folium.CircleMarker(location=[point.latitude, point.longitude],
radius=2,
weight=0).add_to(this_map)
#use df.apply(,axis=1) to "iterate" through every row in your dataframe
data.apply(plotDot, axis = 1)
#Set the zoom to the maximum possible
this_map.fit_bounds(this_map.get_bounds())
#Save the map to an HTML file
this_map.save('html_map_output/simple_dot_plot.html')
this_map
您也可以使用。我刚刚为这个问题创建了一个示例,我的实际数据包含超过两千个点。
import folium
import pandas as pd
#create a map
this_map = folium.Map(prefer_canvas=True)
def plotDot(point):
'''input: series that contains a numeric named latitude and a numeric named longitude
this function creates a CircleMarker and adds it to your this_map'''
folium.CircleMarker(location=[point.latitude, point.longitude],
radius=2,
weight=0).add_to(this_map)
#use df.apply(,axis=1) to "iterate" through every row in your dataframe
data.apply(plotDot, axis = 1)
#Set the zoom to the maximum possible
this_map.fit_bounds(this_map.get_bounds())
#Save the map to an HTML file
this_map.save('html_map_output/simple_dot_plot.html')
this_map