我使用这个网站作为指南：
https://www.districtdatalabs.com/altair-choropleth-viz/
然而，伦敦自治市使用略有不同的数据：
https://data.london.gov.uk/dataset/statistical-gis-boundary-files-london
特别是这个形状文件：/ESRI/London_Borough_Excluding_MHW.shp
但是，当我尝试获取基础层时，我得到了一个非常奇怪的输出：
当我使用教程中使用的数据时，我得到的数据与教程完全相同。那么它是伦敦自治市镇形状文件中的东西吗？
到目前为止我的代码：
map_df = gpd.read_file("/statistical-gis-boundaries-london/ESRI/London_Borough_Excluding_MHW.shp")
#Change to match Borough names in previous DFs
Bnames = {"Kingston upon Thames" : "KingstonUponThames",
"Richmond upon Thames" : "RichmondUponThames",
"Hammersmith and Fulham" : "HammersmithFulham",
"Kensington and Chelsea" : "KensingtonChelsea",
"Tower Hamlets" : "TowerHamlets",
"Barking and Dagenham" : "BarkingDagenham",
"City of London" : "CityOfLondon"
}
map_df['Borough'] = map_df['NAME'].map(Bnames)
map_df['Borough'] = map_df['Borough'].fillna(map_df['NAME'])
merged = map_df.merge(FreqMalCall[['Borough','MalCall']], how='left', on='Borough')
map_df['centroid_lon'] = map_df['geometry'].centroid.x
map_df['centroid_lat'] = map_df['geometry'].centroid.y
choro_json = json.loads(map_df.to_json())
choro_data = alt.Data(values=choro_json['features'])
def gen_base(geojson):
'''Generates baselayer of DC ANC map'''
base = alt.Chart(alt.Data(values=geojson)).mark_geoshape(
stroke='black',
strokeWidth=1
).encode(
).properties(
width=400,
height=400
)
return base
base_layer = gen_base(geojson=choro_json)
base_layer