Python 解决Geopandas和Altair中的正图和投影问题

我正试图用英国国家统计局的一些数据绘制一张伦敦的多层 map .

import geopandas as gpd
from shapely import wkt

# Convert the 'geometry' column to shapely geometry objects
london_wards_shp['geometry'] = london_wards_shp['geometry'].apply(wkt.loads)
london_wards_gpd = gpd.GeoDataFrame(london_wards_shp, geometry='geometry')
london_wards_gpd = london_wards_gpd.set_crs(epsg=4326)
london_wards_gpd.plot()

这是一个错误:

ValueError: aspect must be finite and positive 

我找到了一个绘图的解决方案:

london_wards_gpd.plot(aspect=1)

但后来我想用牛郎星来建立图层，一个有整个图层的 map .

> london_wards_map = alt.Chart(london_wards_gpd).mark_geoshape(
>     fill=None,  # No fill
>     stroke='darkgray',  # Black stroke
>     strokeWidth=1  # Stroke width ).encode(
>     tooltip='NAME:N'  # Replace 'NAME' with the actual name of the column that contains the ward names ).properties(
>     width=800,
>     height=600 ).project(
>     type='identity' )
> 
> hackney_wards = london_wards_gpd[london_wards_gpd['DISTRICT']
> =='Hackney']
> #hackney_wards = gpd.GeoDataFrame(hackney_wards, geometry='geometry')  # Convert DataFrame to GeoDataFrame
> #hackney_wards = hackney_wards.set_crs(epsg=4326) hackney_layer = alt.Chart(hackney_wards).mark_geoshape(
>     fill='lightgray',  # No fill
>     stroke='darkgray',  # Black stroke
>     strokeWidth=1  # Stroke width ).encode(
>     tooltip='NAME:N'  # Replace 'NAME' with the actual name of the column that contains the ward names ).properties(
>     width=800,
>     height=600 ).project(
>     type='identity' )

london_wards_map + hackney_layer

为什么是颠倒的？

我不太清楚如何诊断投影问题，