eq_world_map.py

import json

from plotly.graph_objs import Scattergeo, Layout
from plotly import offline

# Explore the structure of the data.
filename = 'data/eq_data_30_day_m1.json'
with open(filename) as f:
	all_eq_data = json.load(f)

# Store the data in a dictionary
all_eq_dicts = all_eq_data['features']
# Store the name of the data
plotname = all_eq_data['metadata']['title']

# Locate magnitude data
mags, lons, lats, hover_texts = [], [], [], []
for eq_dict in all_eq_dicts:
	mags.append(eq_dict['properties']['mag'])
	lons.append(eq_dict['geometry']['coordinates'][0])
	lats.append(eq_dict['geometry']['coordinates'][1])
	hover_texts.append(eq_dict['properties']['title'])

# Map the earthquakes.
data = [{
    'type': 'scattergeo',
    'lon': lons,
    'lat': lats,
    'text': hover_texts,
    'marker': {
    	'size': [5*mag for mag in mags],
    	'color': mags,
        'colorscale': 'Inferno',
        'reversescale': True,
        'colorbar': {'title': 'Magnitude'},
    },
}]
my_layout = Layout(title=f'{plotname}')

fig = {'data': data, 'layout': my_layout}
offline.plot(fig, filename='global_earthquakes.html')