26 kepler gl

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install leafmap

# !pip install leafmap

In [2]:

import leafmap.kepler as leafmap

import leafmap.kepler as leafmap

Create an interactive map. You can specify various parameters to initialize the map, such as center, zoom, height, and widescreen.

In [3]:

m = leafmap.Map(center=[40, -100], zoom=2, height=600, widescreen=False)
m

m = leafmap.Map(center=[40, -100], zoom=2, height=600, widescreen=False) m

Save the map to an interactive html. To hide the side panel and disable map customization. Set read_only=False

In [4]:

m.to_html(outfile="../html/kepler.html", read_only=False)

m.to_html(outfile="../html/kepler.html", read_only=False)

Display the interactive map in a notebook cell.

In [5]:

# m.static_map(width=950, height=600, read_only=True)

# m.static_map(width=950, height=600, read_only=True)

Add a CSV to the map. If you have a map config file, you can directly apply config to the map.

In [6]:

m = leafmap.Map(center=[37.7621, -122.4143], zoom=12)
in_csv = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/hex_data.csv"
config = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/hex_config.json"
m.add_csv(in_csv, layer_name="hex_data", config=config)
m

m = leafmap.Map(center=[37.7621, -122.4143], zoom=12) in_csv = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/hex_data.csv" config = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/hex_config.json" m.add_csv(in_csv, layer_name="hex_data", config=config) m

Save the map configuration as a JSON file.

In [7]:

m.save_config("cache/config.json")

m.save_config("cache/config.json")

Save the map to an interactive html.

In [8]:

m.to_html(outfile="../html/kepler_hex.html")

m.to_html(outfile="../html/kepler_hex.html")

Add a GeoJSON to the map.

In [9]:

m = leafmap.Map(center=[20, 0], zoom=1)
lines = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/cable_geo.geojson"
m.add_geojson(lines, layer_name="Cable lines")
m

m = leafmap.Map(center=[20, 0], zoom=1) lines = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/cable_geo.geojson" m.add_geojson(lines, layer_name="Cable lines") m

In [10]:

m.to_html("../html/kepler_lines.html")

m.to_html("../html/kepler_lines.html")

Add a GeoJSON with US state boundaries to the map.

In [11]:

m = leafmap.Map(center=[50, -110], zoom=2)
polygons = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/us_states.json"
m.add_geojson(polygons, layer_name="Countries")
m

m = leafmap.Map(center=[50, -110], zoom=2) polygons = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/us_states.json" m.add_geojson(polygons, layer_name="Countries") m

In [12]:

m.to_html("../html/kepler_states.html")

m.to_html("../html/kepler_states.html")

Add a shapefile to the map.

In [13]:

m = leafmap.Map(center=[20, 0], zoom=1)
in_shp = "https://github.com/opengeos/leafmap/raw/master/examples/data/countries.zip"
m.add_shp(in_shp, "Countries")
m

m = leafmap.Map(center=[20, 0], zoom=1) in_shp = "https://github.com/opengeos/leafmap/raw/master/examples/data/countries.zip" m.add_shp(in_shp, "Countries") m

In [14]:

m.to_html("../html/kepler_countries.html")

m.to_html("../html/kepler_countries.html")

Add a GeoPandas GeoDataFrame to the map.

In [15]:

import geopandas as gpd

import geopandas as gpd

In [16]:

gdf = gpd.read_file(
    "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/world_cities.geojson"
)

gdf = gpd.read_file( "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/world_cities.geojson" )

In [17]:

gdf

gdf

Out[17]:

	name	sov_a3	latitude	longitude	pop_max	geometry
0	Bombo	UGA	0.58330	32.53330	75000	POINT (32.5333 0.5833)
1	Fort Portal	UGA	0.67100	30.27500	42670	POINT (30.275 0.671)
2	Potenza	ITA	40.64200	15.79900	69060	POINT (15.799 40.642)
3	Campobasso	ITA	41.56300	14.65600	50762	POINT (14.656 41.563)
4	Aosta	ITA	45.73700	7.31500	34062	POINT (7.315 45.737)
...	...	...	...	...	...	...
1244	Rio de Janeiro	BRA	-22.92502	-43.22502	11748000	POINT (-43.22502 -22.92502)
1245	Sao Paulo	BRA	-23.55868	-46.62502	18845000	POINT (-46.62502 -23.55868)
1246	Sydney	AUS	-33.92001	151.18518	4630000	POINT (151.18518 -33.92001)
1247	Singapore	SGP	1.29303	103.85582	5183700	POINT (103.85582 1.29303)
1248	Hong Kong	CHN	22.30498	114.18501	7206000	POINT (114.18501 22.30498)

1249 rows × 6 columns

In [18]:

m = leafmap.Map(center=[20, 0], zoom=1)
m.add_gdf(gdf, "World cities")
m

m = leafmap.Map(center=[20, 0], zoom=1) m.add_gdf(gdf, "World cities") m

In [19]:

m.to_html("../html/kepler_cities.html")

m.to_html("../html/kepler_cities.html")