plotly_globe_figure_example.py

import pandas as pd
import numpy as np
import plotly.offline as py
import plotly.graph_objs as go
import json

py.init_notebook_mode(connected=False)

izip = zip

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/globe_contours.csv')
df.head()

contours = []

scl = ['rgb(213,62,79)','rgb(244,109,67)','rgb(253,174,97)',\
       'rgb(254,224,139)','rgb(255,255,191)','rgb(230,245,152)',\
       'rgb(171,221,164)','rgb(102,194,165)','rgb(50,136,189)']

def pairwise(iterable):
    a = iter(iterable)
    return izip(a, a)

i=0
for lat, lon in pairwise(df.columns):
    contours.append( dict(
        type = 'scattergeo',
        lon = df[lon],
        lat = df[lat],
        mode = 'lines',
        line = dict(
            width = 2,
            color = scl[i]
        )
    ) )
    i = 0 if i+1 >= len(df.columns)/4 else i+1
    
layout = dict(
        margin = dict( t = 0, l = 0, r = 0, b = 0 ),
        showlegend = False,         
        geo = dict(
            showland = True,
            showlakes = True,
            showcountries = True,
            showocean = True,
            countrywidth = 0.5,
            landcolor = 'rgb(230, 145, 56)',
            lakecolor = 'rgb(0, 255, 255)',
            oceancolor = 'rgb(0, 255, 255)',
            projection = dict( 
                type = 'orthographic',
                rotation = dict(lon = 0, lat = 0, roll = 0 )            
            ),
            lonaxis = dict( 
                showgrid = True,
                gridcolor = 'rgb(102, 102, 102)',
                gridwidth = 0.5
            ),
            lataxis = dict( 
                showgrid = True,
                gridcolor = 'rgb(102, 102, 102)',
                gridwidth = 0.5
            )
        )
    )

sliders = []

lon_range = np.arange(-180, 180, 10)
lat_range = np.arange(-90, 90, 10)

sliders.append( 
    dict(
        active = len(lon_range)/2,
        currentvalue = {"prefix": "Longitude: "},
        pad = {"t": 0},
        steps = [{
                'method':'relayout', 
                'label':str(i),
                'args':['geo.projection.rotation.lon', i]} for i in lon_range]
    )      
)

sliders.append( 
    dict(
        active = len(lat_range)/2,
        currentvalue = {"prefix": "Latitude: "},
        pad = {"t": 100},
        steps = [{
                'method':'relayout', 
                'label':str(i),
                'args':['geo.projection.rotation.lat', i]} for i in lat_range]
    )      
)

projections = [ "equirectangular", "mercator", "orthographic", "natural earth","kavrayskiy7", 
               "miller", "robinson", "eckert4", "azimuthal equal area","azimuthal equidistant", 
               "conic equal area", "conic conformal", "conic equidistant", "gnomonic", "stereographic", 
               "mollweide", "hammer", "transverse mercator", "albers usa", "winkel tripel" ]

buttons = [ dict( args=['geo.projection.type', p], label=p, method='relayout' ) for p in projections ]

annot = list([ dict( x=0.1, y=0.8, text='Projection', yanchor='bottom', 
                    xref='paper', xanchor='right', showarrow=False )])

# Update Layout Object

layout[ 'updatemenus' ] = list([ dict( x=0.1, y=0.8, buttons=buttons, yanchor='top' )])

layout[ 'annotations' ] = annot

layout[ 'sliders' ] = sliders
fig = dict( data=contours, layout=layout )
py.iplot( fig)