Plotting geographic data on a globe

The following code uses plotly to create a heat map on a globe. The data is country GDP and the Globe generated is interactive (below is only an image so not interactive.

The code:

​metricscale1=[[0, 'rgb(102,194,165)'], [0.05, 'rgb(102,194,165)'], 
              [0.15, 'rgb(171,221,164)'], [0.2, 'rgb(230,245,152)'], 
              [0.25, 'rgb(255,255,191)'], [0.35, 'rgb(254,224,139)'], 
              [0.45, 'rgb(253,174,97)'], [0.55, 'rgb(213,62,79)'], [1.0, 'rgb(158,1,66)']]
data = [ dict(
        type = 'choropleth',
        autocolorscale = False,
        colorscale = metricscale1,
        showscale = True,
        locations = df['Country'].values,
        z = df['GDP ($ per capita)'].values,
        locationmode = 'country names',
        text = df['Country'].values,
        marker = dict(
            line = dict(color = 'rgb(250,250,225)', width = 0.5)),
            colorbar = dict(autotick = True, tickprefix = '', 
            title = 'GDP')
            )
       ]

layout = dict(
    title = 'World Map of GDP ($US per capita)',
    geo = dict(
        showframe = True,
        showocean = True,
        oceancolor = 'rgb(28,107,160)',
        #oceancolor = 'rgb(222,243,246)',
        projection = dict(
        type = 'orthographic',
            rotation = dict(
                    lon = 60,
                    lat = 10),
        ),
        lonaxis =  dict(
                showgrid = False,
                gridcolor = 'rgb(102, 102, 102)'
            ),
        lataxis = dict(
                showgrid = False,
                gridcolor = 'rgb(102, 102, 102)'
                )
            ),
        )
fig = dict(data=data, layout=layout)
py.iplot(fig, validate=False, filename='worldmapGDP')