visualize poverty levels on US map

choropleth.py

states['text'] = "Poverty Estimates 2017"+"\
    "+ states["POVALL_2017"].astype(str) + " " +"State:" +" \
    "+ states["Area_Name"]

fig = go.Figure(data=go.Choropleth(
    locations=states['State'], # Spatial coordinates
    z = states["POVALL_2017"].astype(float), # Data to be color-coded
    locationmode = 'USA-states', # set of locations match entries in `locations`
    colorscale = 'greens',
    text = states['text'],
    colorbar_title = "Poverty Estimates 2017",
    reversescale = True
))


fig.update_layout(
    title_text= "Poverty Estimates 2017",
    geo = dict(
        scope='usa',
        projection=go.layout.geo.Projection(type = 'albers usa'),
        showlakes=True, # lakes
        lakecolor='rgb(255,255,255)'),
)

fig.show()