Minimal example of plotly working with PyPSA - using Mapbox

pypsa_plotly.py

mapbox_access_token = 'PASTE_YOUR_TOKEN_HERE'

import plotly.offline as py
from plotly.graph_objs import *
import plotly.graph_objs as go

import pypsa

py.init_notebook_mode(connected=True)
%matplotlib inline

#data available from https://github.com/FRESNA/PyPSA
n = pypsa.Network("./pypsa/examples/scigrid-de/scigrid-with-load-gen-trafos/")


edge_trace = Scattermapbox(
    lat=[],
    lon=[],
    line=Line(width=0.5,color='#888'),
    hoverinfo='none',
    mode='lines')

for edge in n.lines.index:
    x0, y0 = n.buses.at[n.lines.at[edge,"bus0"],"x"],n.buses.at[n.lines.at[edge,"bus0"],"y"]
    x1, y1 = n.buses.at[n.lines.at[edge,"bus1"],"x"],n.buses.at[n.lines.at[edge,"bus1"],"y"]
    edge_trace['lon'] += [x0, x1, None]
    edge_trace['lat'] += [y0, y1, None]

node_trace = Scattermapbox(
    lat=[],
    lon=[],
    text=[],
    mode='markers',
    hoverinfo='text',
    marker=Marker(
        showscale=True,
        # colorscale options
        # 'Greys' | 'Greens' | 'Bluered' | 'Hot' | 'Picnic' | 'Portland' |
        # Jet' | 'RdBu' | 'Blackbody' | 'Earth' | 'Electric' | 'YIOrRd' | 'YIGnBu'
        colorscale='YIGnBu',
        reversescale=True,
        color=[],
        size=10,
        colorbar=dict(
            thickness=15,
            title='Node Connections',
            xanchor='left',
            titleside='right'
        ),
        # line=dict(width=2)
    )
)

for node in n.buses.index:
    x, y = n.buses.at[node,"x"],n.buses.at[node,"y"]
    node_trace['lon'].append(x)
    node_trace['lat'].append(y)



#for node, adjacencies in enumerate(G.adjacency_list()):
#    node_trace['marker']['color'].append(len(adjacencies))
#    node_info = '# of connections: '+str(len(adjacencies))
#    node_trace['text'].append(node_info)
    
    
layout = go.Layout(
    title='Nuclear Waste Sites on Campus',
    autosize=True,
    hovermode='closest',
    showlegend=True,
    mapbox=dict(
        accesstoken=mapbox_access_token,
        bearing=0,
        center=dict(
            lat=51,
            lon=10
        ),
        pitch=0,
        zoom=4,
        style='light'
    ),
)    

fig = Figure(data=Data([edge_trace, node_trace]),
             layout=layout
            )

py.iplot(fig)