interactive_plot_with_lat_and_long.py

import plotly.graph_objects as go

fig = go.Figure(data=go.Scattergeo(
    lat = df['latitude'],
    lon = df['longitude'],
    text = df['_id'],
    marker = dict(
            size = 8,
            opacity = 0.7,
            reversescale = True,
            autocolorscale = False,
            symbol = 'square',
            line = dict(
                width=1,
                color='rgba(226, 106, 106, 1)'
            ),
            color='rgba(207, 0, 15, 1)',
        )
))

fig.update_layout(
    geo = dict(
        scope = 'north america',
        showland = True,
        landcolor = "rgb(212, 212, 212)",
        subunitcolor = "rgb(255, 255, 255)",
        countrycolor = "rgb(255, 255, 255)",
        showlakes = True,
        lakecolor = "rgb(255, 255, 255)",
        showsubunits = True,
        showcountries = True,
        resolution = 50,
        projection = dict(
            type = 'conic conformal',
            rotation_lon = -100
        ),
        lonaxis = dict(
            showgrid = True,
            gridwidth = 0.5,
            range= [ -140.0, -50.0 ],
            dtick = 5
        ),
        lataxis = dict (
            showgrid = True,
            gridwidth = 0.5,
            range= [ 35.0, 75.0 ],
            dtick = 5
        )
    ),
    title='Tim Hortons in North America',
)
fig.show()

fig.write_image("./TimHortonsInNorthAmerica.png", width=2400, height=1600)