Python画出好看的地图基于folium

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Choropleth 等值线图

import pandas as pd #读取数据 from folium import Map,Choropleth,CircleMarker #用到的包 6 a% x) l7 {% }, k* ]) c

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#包含省的中国地图json 7 F! k' L. D- N china_geo = fhttps://geo.datav.aliyun.com/areas_v2/bound/100000_full.json #读取用到的面积数据 N2 L6 c$ v5 J; w( i datad = pd.read_csv(Desktop/square.csv,index_col=index) ) M( K# V3 y. V, o: Q- s; o$ z. b

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m=Map(tiles=Stamen Toner) #地图风格 2 @( I# V9 [8 y8 t: N 3 B( \. y# L% t$ Q' j( ~, z Choropleth(china_geo, #选择json 0 n, ?% |( C2 `( m+ m" M8 j B& J data = datad, #数据 2 X( c; W Q9 Q* j* s/ I columns = [province,square], #列，第一个为key，第二个为value key_on = feature.properties.name,#匹配到json fill_color = RdPu, #颜色 0 g6 p4 Q( J# ~ fill_opacity = 0.8, #填充透明度 line_opactity = 1, #线透明度 line_weight = 1, #线宽 * }) { \7 Z$ M7 @. @2 o, J legend_name = 面积 #图例 1 L _1 J& @! C6 Z9 w7 m% I/ @ 0 h6 c( d& K' r o& `0 }9 z ).add_to(m) ' g* X4 H# G) T$ B- X- Z# B CircleMarker(location = [39.907518, 116.397514], #坐标点 5 j1 p* Z1 t8 t# Y radius = 10, #半径 fill = True, #填充 / X8 n+ l3 u( _! h5 [# G* P popup = This is beijing, #弹窗 4 R9 ~- S F* @* f weight = 1 #circlemarker线宽 5 [2 ^: t9 V* N ).add_to(m) m.fit_bounds(m.get_bounds()) " t; }2 l) M( Y# z- L- {' R m " ?- S9 M; g6 P) W

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数据地址： square.rar - 蓝奏云

两个重要的网站

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手动绘制geojson

geojson.io​geojson.io/

目前更新的geojson

地图选择器​datav.aliyun.com/tools/atlas/index.html

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geojson格式

{ . c$ ]! }3 M& t "type": "FeatureCollection", "features": [ { # y2 h% J5 M3 |9 [% i "properties": {"name": "Alabama"}, 8 D! n' L& B% \4 j$ M2 q' p "id": "AL", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [[[-87.359296, 35.00118], ...]] * @" M8 B$ S: N$ |. Z' |- |$ B0 O } " a2 h' V* ~$ c+ b8 T6 } }, % z" w' D% |/ n1 Z9 u0 C { "properties": {"name": "Alaska"}, "id": "AK", . W/ Y _6 y8 Q- E/ N; S7 I' m "type": "Feature", "geometry": { ' E+ a2 Y8 n9 Z1 N' _0 f2 L# _ "type": "MultiPolygon", "coordinates": [[[[-131.602021, 55.117982], ... ]]] 1 ]' H. n% y& a3 O6 b7 A8 ] } + r V4 F- m- D/ X( ~ }, ... * E0 o/ w! n5 A7 I& C$ ]+ o ] 4 j, Z4 [; a. \8 f: |' n, X5 e } " M! }- x3 u3 l0 Z l

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读取本地的json文件

f = open(zhengzhou.json) t = json.load(f) ' q: B, |+ C/ G

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读取网络json

url = ( "https://raw.githubusercontent.com/python-visualization/folium/master/examples/data" 3 S$ a! g) S/ d: p ) us_states = f"{url}/us-states.json" & Q& N0 \; Y1 _/ z' x geo_json_data = json.loads(requests.get(us_states).text)

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