import geopandas
if ( program_data is not None ):
df_to_map = program_data.loc[~program_data.index.duplicated(keep='first')]
map_of_facilities = mapper(df_to_map)
if ( region_type == 'State' or region_type == 'Congressional District' ):
if ( region_type == 'Congressional District' and region_selected is not None ):
url = "https://raw.githubusercontent.com/unitedstates/districts/gh-pages/cds/2016/{}-{}/shape.geojson".format( state, str(region_selected))
map_data = geopandas.read_file(url)
w = folium.GeoJson(
map_data,
name = "EPA Regions",
).add_to(map_of_facilities) #m is the map object created to hold the facility points. we want to add this shape object to that map object
folium.GeoJsonTooltip(fields=["District"]).add_to(w)
if ( region_type == 'State' ):
url = "https://github.com/edgi-govdata-archiving/ECHO-Geo/raw/main/states.geojson"
map_data = geopandas.read_file( url )
state_data = map_data[ map_data['STUSPS'] == state ]
w = folium.GeoJson( state_data, name="State" ).add_to( map_of_facilities )
display( map_of_facilities )
else:
print( "There are no facilities in the region for this data set." )
This only works for states and congressional districts. To show zip, county, and other geographies, we could just pull from the SBU spatial database!
Currently cell 8 pulls geo data from ECHO-Geo
This only works for states and congressional districts. To show zip, county, and other geographies, we could just pull from the SBU spatial database!