folium Choropleth world map: default values for countries





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I am using a GeoJSON world map and folium to build a choropleth map:



the_map = folium.Map(tiles="cartodbpositron")
the_map.choropleth(
geo_data=country_shapes,
name='choropleth',
data=orders_by_country,
columns=['country', 'orders'],
key_on='feature.id',
fill_color='Blues',
fill_opacity=0.7,
line_opacity=0.2,
)
the_map


The result I am getting shows all countries that do not appear in the dataframe shaded in deep blue, which is the color of the highest values. Why? Is it possible to set a default value?



enter image description here










share|improve this question























  • Maybe try a color palette like BuGn instead of Blues

    – Bob Haffner
    Nov 17 '18 at 17:20











  • Different color, same problem.

    – clstaudt
    Nov 18 '18 at 14:42











  • Sorry, not much help on this one. It would be nice to have a default color of some kind

    – Bob Haffner
    Nov 18 '18 at 20:48


















0















I am using a GeoJSON world map and folium to build a choropleth map:



the_map = folium.Map(tiles="cartodbpositron")
the_map.choropleth(
geo_data=country_shapes,
name='choropleth',
data=orders_by_country,
columns=['country', 'orders'],
key_on='feature.id',
fill_color='Blues',
fill_opacity=0.7,
line_opacity=0.2,
)
the_map


The result I am getting shows all countries that do not appear in the dataframe shaded in deep blue, which is the color of the highest values. Why? Is it possible to set a default value?



enter image description here










share|improve this question























  • Maybe try a color palette like BuGn instead of Blues

    – Bob Haffner
    Nov 17 '18 at 17:20











  • Different color, same problem.

    – clstaudt
    Nov 18 '18 at 14:42











  • Sorry, not much help on this one. It would be nice to have a default color of some kind

    – Bob Haffner
    Nov 18 '18 at 20:48














0












0








0


2






I am using a GeoJSON world map and folium to build a choropleth map:



the_map = folium.Map(tiles="cartodbpositron")
the_map.choropleth(
geo_data=country_shapes,
name='choropleth',
data=orders_by_country,
columns=['country', 'orders'],
key_on='feature.id',
fill_color='Blues',
fill_opacity=0.7,
line_opacity=0.2,
)
the_map


The result I am getting shows all countries that do not appear in the dataframe shaded in deep blue, which is the color of the highest values. Why? Is it possible to set a default value?



enter image description here










share|improve this question














I am using a GeoJSON world map and folium to build a choropleth map:



the_map = folium.Map(tiles="cartodbpositron")
the_map.choropleth(
geo_data=country_shapes,
name='choropleth',
data=orders_by_country,
columns=['country', 'orders'],
key_on='feature.id',
fill_color='Blues',
fill_opacity=0.7,
line_opacity=0.2,
)
the_map


The result I am getting shows all countries that do not appear in the dataframe shaded in deep blue, which is the color of the highest values. Why? Is it possible to set a default value?



enter image description here







python leaflet data-visualization geography folium






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 16 '18 at 18:31









clstaudtclstaudt

6,2992395167




6,2992395167













  • Maybe try a color palette like BuGn instead of Blues

    – Bob Haffner
    Nov 17 '18 at 17:20











  • Different color, same problem.

    – clstaudt
    Nov 18 '18 at 14:42











  • Sorry, not much help on this one. It would be nice to have a default color of some kind

    – Bob Haffner
    Nov 18 '18 at 20:48



















  • Maybe try a color palette like BuGn instead of Blues

    – Bob Haffner
    Nov 17 '18 at 17:20











  • Different color, same problem.

    – clstaudt
    Nov 18 '18 at 14:42











  • Sorry, not much help on this one. It would be nice to have a default color of some kind

    – Bob Haffner
    Nov 18 '18 at 20:48

















Maybe try a color palette like BuGn instead of Blues

– Bob Haffner
Nov 17 '18 at 17:20





Maybe try a color palette like BuGn instead of Blues

– Bob Haffner
Nov 17 '18 at 17:20













Different color, same problem.

– clstaudt
Nov 18 '18 at 14:42





Different color, same problem.

– clstaudt
Nov 18 '18 at 14:42













Sorry, not much help on this one. It would be nice to have a default color of some kind

– Bob Haffner
Nov 18 '18 at 20:48





Sorry, not much help on this one. It would be nice to have a default color of some kind

– Bob Haffner
Nov 18 '18 at 20:48












1 Answer
1






active

oldest

votes


















1














Folium 0.8 has new properties for choropleth maps. Please check the documentation folium documentation.
nan_fill_color should be able to solve your problem.



the_map = folium.Map(tiles="cartodbpositron")
the_map.choropleth(
geo_data=country_shapes,
name='choropleth',
data=orders_by_country,
columns=['country', 'orders'],
key_on='feature.id',
fill_color='Blues',
nan_fill_color='white',
fill_opacity=0.7,
line_opacity=0.2,
)
the_map





share|improve this answer
























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    1 Answer
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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    Folium 0.8 has new properties for choropleth maps. Please check the documentation folium documentation.
    nan_fill_color should be able to solve your problem.



    the_map = folium.Map(tiles="cartodbpositron")
    the_map.choropleth(
    geo_data=country_shapes,
    name='choropleth',
    data=orders_by_country,
    columns=['country', 'orders'],
    key_on='feature.id',
    fill_color='Blues',
    nan_fill_color='white',
    fill_opacity=0.7,
    line_opacity=0.2,
    )
    the_map





    share|improve this answer




























      1














      Folium 0.8 has new properties for choropleth maps. Please check the documentation folium documentation.
      nan_fill_color should be able to solve your problem.



      the_map = folium.Map(tiles="cartodbpositron")
      the_map.choropleth(
      geo_data=country_shapes,
      name='choropleth',
      data=orders_by_country,
      columns=['country', 'orders'],
      key_on='feature.id',
      fill_color='Blues',
      nan_fill_color='white',
      fill_opacity=0.7,
      line_opacity=0.2,
      )
      the_map





      share|improve this answer


























        1












        1








        1







        Folium 0.8 has new properties for choropleth maps. Please check the documentation folium documentation.
        nan_fill_color should be able to solve your problem.



        the_map = folium.Map(tiles="cartodbpositron")
        the_map.choropleth(
        geo_data=country_shapes,
        name='choropleth',
        data=orders_by_country,
        columns=['country', 'orders'],
        key_on='feature.id',
        fill_color='Blues',
        nan_fill_color='white',
        fill_opacity=0.7,
        line_opacity=0.2,
        )
        the_map





        share|improve this answer













        Folium 0.8 has new properties for choropleth maps. Please check the documentation folium documentation.
        nan_fill_color should be able to solve your problem.



        the_map = folium.Map(tiles="cartodbpositron")
        the_map.choropleth(
        geo_data=country_shapes,
        name='choropleth',
        data=orders_by_country,
        columns=['country', 'orders'],
        key_on='feature.id',
        fill_color='Blues',
        nan_fill_color='white',
        fill_opacity=0.7,
        line_opacity=0.2,
        )
        the_map






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Mar 13 at 5:47









        Baris TasdelenBaris Tasdelen

        1765




        1765
































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