Put landmarks on a map¶

The geopy package is useful for converting location names into spatial coordinates.

In [1]:

# Click the Green Button to transform this Jupyter Notebook into a CrossCompute Tool
target_folder = '/tmp/map-locations'
location_table_path = 'waterfalls.csv'

In [7]:

from os.path import join
from pandas import read_csv
location_table = read_csv(location_table_path)
location_table

Out[7]:

	Name	Height (meters)
0	Bridalveil Fall, California	617
1	Multnomah Falls, Oregon	189
2	Niagara Falls, New York	51

In [8]:

import geopy
geocode = geopy.GoogleV3().geocode
geocode('New York, NY')

Out[8]:

Location((40.7127837, -74.0059413, 0.0))

In [9]:

latitudes = []
longitudes = []
for name in location_table['Name']:
    print(name)
    location = geocode(name)
    latitudes.append(location.latitude)
    longitudes.append(location.longitude)

Bridalveil Fall, California
Multnomah Falls, Oregon
Niagara Falls, New York

In [10]:

location_table['Latitude'] = latitudes
location_table['Longitude'] = longitudes

In [11]:

location_table

Out[11]:

	Name	Height (meters)	Latitude	Longitude
0	Bridalveil Fall, California	617	37.716669	-119.646389
1	Multnomah Falls, Oregon	189	45.576160	-122.115776
2	Niagara Falls, New York	51	43.096214	-79.037739

In [12]:

from invisibleroads_macros.disk import make_folder
from os.path import join
target_path = join(make_folder(target_folder), 'locations.csv')
location_table.to_csv(target_path, index=False)

In [13]:

print('location_geotable_path = %s' % target_path)

location_geotable_path = /tmp/map-locations/locations.csv

Landmarks¶

{location_geotable : Landmark Map ? Try clicking a circle on the map}

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task_webim

Put landmarks on a map¶

Landmarks¶