我正试图在叶片中绘制雷达数据,我几乎就在那里.我按照这个例子(Contour plot data (lat,lon,value) within boundaries and export GeoJSON)将我的数据转换成GeoJson格式.
nb_class = 20
collec_poly = plt.contourf(lons,lats,np.array(poshdata),nb_class,alpha=0.5)
gdf = collec_to_gdf(collec_poly) # From link above
gdf.to_json()
colors = [p.get_facecolor().tolist()[0] for p in collec_poly.collections]
gdf['RGBA'] = colors
gdf
这将输出两列：几何和RGBA.
RGBA geometry
0 [0.0,0.0,0.713903743316,1.0] (POLYGON ((-71.57032079644679 42.2775236331535...
1 [0.0,0.0960784313725,1.0,1.0] (POLYGON ((-71.56719970703125 42.2721176147460...
2 [0.0,0.503921568627,1.0] (POLYGON ((-71.55678558349609 42.2721176147460...
3 [0.0,0.896078431373,0.970904490829,1.0] (POLYGON ((-71.52552795410156 42.2849182620049...
4 [0.325743200506,0.641998734978,1.0] (POLYGON ((-71.49427795410156 42.2939676156927...
5 [0.641998734978,0.325743200506,1.0] (POLYGON ((-71.47344207763672 42.3003084448852...
6 [0.970904490829,0.959331880901,1.0] (POLYGON ((-71.26508331298828 42.3200411822557...
7 [1.0,0.581699346405,1.0] (POLYGON ((-71.15048217773438 42.3333218460720...
从那里我制作了我的folium地图：
import folium
# Picked location between Sudbury and Somerville:
maploc = folium.Map(location=[42.377157,-71.236088],zoom_start=11,tiles="Stamen Toner")
folium.GeoJson(gdf).add_to(maploc)
这创建了我很好的folium地图,但多边形根本没有着色.如何让轮廓充满正确的颜色？并修复不透明度？
最佳答案
不是专家……我刚刚开始使用folium和jupyter,并且有类似的问题,但是有了线条.
你说你有GeoJson和多边形,颜色包含在我认为的json中.
你说你有GeoJson和多边形,颜色包含在我认为的json中.
style_function可能会帮助你得到你想要的东西？
以下示例使用此页面生成：http://geojson.io/
我所要做的就是使用style_function进行“映射”.
也可以使用自定义函数,请参阅：
https://github.com/python-visualization/folium/blob/master/examples/Colormaps.ipynb
import folium
geoJsonData = {
"features": [
{
"geometry": {
"coordinates": [
[
12.98583984375,56.70450561416937
],[
14.589843749999998,57.604221411628735
],[
13.590087890625,58.15331598640629
],[
11.953125,57.955674494979526
],[
11.810302734375,58.76250326278713
]
],"type": "LineString"
},"properties": {
"stroke": "#fc1717","stroke-opacity": 1,"stroke-width": 2
},"type": "Feature"
},{
"geometry": {
"coordinates": [
[
14.9468994140625,57.7569377956732
],[
15.078735351562498,58.06916140721414
],[
15.4302978515625,58.09820267068277
],[
15.281982421875002,58.318144965188246
],[
15.4852294921875,58.36427519285588
]
],"properties": {
"stroke": "#1f1a95","type": "Feature"
}
],"type": "FeatureCollection"
}
m = folium.Map(location=[ 56.7,12.9],zoom_start=6)
folium.GeoJson(geoJsonData,style_function=lambda x: {
'color' : x['properties']['stroke'],'weight' : x['properties']['stroke-width'],'opacity': 0.6,'fillColor' : x['properties']['fill'],}).add_to(m)
m
git hub上的folium源代码包括几个不错的例子：
https://github.com/python-visualization/folium/tree/master/examples
在这里您可以找到可供选择的选项：
http://leafletjs.com/reference.html#path-options
希望这能带给你前进！