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iliatimofeev / gpdvega

gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data
https://iliatimofeev.github.io/gpdvega/
BSD 3-Clause "New" or "Revised" License
52 stars 5 forks source link

wrong 'Antarctica' #1

Open iliatimofeev opened 6 years ago

iliatimofeev commented 6 years ago 
import altair as alt
import geopandas as gpd
import gpdvega 

alt.renderers.enable('notebook') # render for Jupyter Notebook

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

# GeoDataFrame could be passed as usual pd.DataFrame 
alt.Chart(world[world.continent=='Antarctica']).mark_geoshape(
    stroke='#1f77b4',  
    fill='#7f7f7f',
    fillOpacity=0.3
).project(
).encode( 
).properties( 
    width=500,
    height=300
)

visualization 39 but

world[world.continent=='Antarctica'].plot()

image

iliatimofeev commented 6 years ago

It's both sides issue. Geopandas Antarctica contains point (180.00000000000014, -90.00000000000003) which is not valid. And Vega do not interpret it as expected.

So current workaround is to cut Antarctica with correct box.

import altair as alt
import geopandas as gpd
import gpdvega 

alt.renderers.enable('notebook') # render for Jupyter Notebook

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

#workaround
world.set_geometry( world.geometry.intersection(sh.geometry.box(-180,-90,180,90)),inplace=True)

alt.Chart(world).mark_geoshape(
    stroke='#1f77b4',  
    fill='#7f7f7f',
    fillOpacity=0.3

).project(
).encode( 
).properties( 
    width=500,
    height=300
)

visualization 40