In [1]:

import pandas as pd

from lets_plot.geo_data import *
from lets_plot import *

LetsPlot.setup_html()

The geodata is provided by © OpenStreetMap contributors and is made available here under the Open Database License (ODbL).

In [2]:

cities = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/cities.csv")
cities.head()

Out[2]:

	Unnamed: 0	name	link	coutry_id	latitude	longitude	text
0	0	Algiers	/wiki/Algiers	1	36.776389	3.058611	— with nearly 3 million inhabitants, Algiers ...
1	1	Annaba	/wiki/Annaba	1	36.900000	7.766667	— a town with 200,000 inhabitants in the east...
2	2	Batna	/wiki/Batna	1	35.550000	6.166667	NaN
3	3	Bechar	/wiki/Bechar	1	31.633333	-2.200000	— small city in the Sahara, not far from the ...
4	4	Constantine	/wiki/Constantine	1	36.365000	6.614722	- Algeria's 3rd largest city with a canyon go...

In [3]:

czech_cities = cities.loc[cities['coutry_id'] == 144]
czech_cities

Out[3]:

	Unnamed: 0	name	link	coutry_id	latitude	longitude	text
1044	0	Prague	/wiki/Prague	144	50.083333	14.416667	() — the capital and largest city of the Czec...
1045	1	Brno	/wiki/Brno	144	49.200000	16.616667	— the largest city in Moravia and its former ...
1046	2	České Budějovice	/wiki/%C4%8Cesk%C3%A9_Bud%C4%9Bjovice	144	48.974722	14.474722	– attractive large city in South Bohemia
1047	3	Český Krumlov	/wiki/%C4%8Cesk%C3%BD_Krumlov	144	48.816667	14.316667	— beautiful old town in South Bohemia with th...
1048	4	Karlovy Vary	/wiki/Karlovy_Vary	144	50.233333	12.866667	() — historic (and biggest Czech) spa resort,...
1049	5	Kutná Hora	/wiki/Kutn%C3%A1_Hora	144	49.950000	15.266667	— historical town with famous Saint Barbara c...
1050	6	Olomouc	/wiki/Olomouc	144	49.600000	17.250000	( or ) — riverside university town with a tho...
1051	7	Ostrava	/wiki/Ostrava	144	49.835556	18.292500	— a vibrant local subculture and long history...
1052	8	Pilsen	/wiki/Pilsen	144	49.747500	13.377500	() — home of the original Pilsner Urquell bee...

In [4]:

country_gcoder = geocode_countries(['Czech'])
country_gcoder.get_geocodes()

Out[4]:

	id	country	found name	centroid	position	limit
0	51684	Czech	Česko	[15.5282667270321, 49.8037022352219]	[12.0905895531178, 48.5518079996109, 18.859253...	[12.0905895531178, 48.5518079996109, 18.859253...

In [5]:

# Automatic word wrap:
# the value string is limited by the number of characters in it,
# and description will be split into multiple lines.

(ggplot()
 + geom_livemap(location=[15.78,49.35], zoom=6)
 + geom_polygon(aes(fill='country'), 
                data=country_gcoder.get_boundaries(), 
                alpha=.2)
 + geom_point(aes('longitude', 'latitude', color='name'),
                data=czech_cities,
                size=4, 
                tooltips=layer_tooltips()
                    .title('@name')
                    .line('Longitude|@longitude')
                    .line('Latitude|@latitude')
                    .line('Description|@text'))
 + theme(legend_position='none')
)

Out[5]: