len(kiva_country) kiva_hdi = hdi[hdi['Country'].apply(lambda c: c in kiva_country)] kiva_hdi['Country'].apply(lambda c: c in kiva_country) # ### HDI: # In[43]: m = folium.Map(location=[0, 0], zoom_start=2) m.choropleth( geo_data=geo_world_data, data=hdi, columns=['Country', 'HDI'], key_on='feature.properties.name', name='HDI', fill_opacity=1, fill_color='GnBu', highlight=True, #threshold_scale=[100,1000,2000,4000,6000,10000], legend_name='HDI') folium.LayerControl().add_to(m) m # Human Development Index (HDI): # A composite index measuring average achievement in three basic dimensions of human development # 1. A long and healthy life: is assessed by life expectancy at birth # 2. Knowledge or Education: is mean year of schooling for adults # 3. A decent standard of living: is Gross National Income per capita # # It does not reflect on inequalities, poverty, human security, empowerment, etc.
# In[64]: # group_state m = folium.Map(location=[37, -102], zoom_start=4) folium.TileLayer('CartoDB positron', name="Light Map", control=False).add_to(m) # myscale = (state_map['Count'].quantile((0,0.2,0.4,0.6,0.8,1))).tolist() m.choropleth( geo_data=state_map, name='Choropleth', data=state_map, columns=['State', 'Count'], key_on="feature.properties.State", fill_color='YlGnBu', # threshold_scale=myscale, fill_opacity=1, line_opacity=0.2, legend_name='Count of Accidents', smooth_factor=0) style_function = lambda x: { 'fillColor': '#ffffff', 'color': '#000000', 'fillOpacity': 0.1, 'weight': 0.1 } highlight_function = lambda x: { 'fillColor': '#000000', 'color': '#000000',