Introduction

In [4]:

import kmaps
import ipyleaflet
import geopandas as gpd

import kmaps import ipyleaflet import geopandas as gpd

Default setting of a class Map is:

center = [37.5, 127]

zoom = 8

In [2]:

m = kmaps.Map(center = [37, 127], zoom = 7)
m

m = kmaps.Map(center = [37, 127], zoom = 7) m

Map(center=[37, 127], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_out_te…

In [3]:

m.add_shp('data/BuildingsCentroids_OSM_UTK.shp')

m.add_shp('data/BuildingsCentroids_OSM_UTK.shp')

In [5]:

df = gpd.read_file('data/BuildingsCentroids_OSM_UTK.shp')

df = gpd.read_file('data/BuildingsCentroids_OSM_UTK.shp')

In [6]:

df[0:5]

df[0:5]

Out[6]:

	osm_id	name	type	building	other_tags	AREA_GEO	geometry
0	1637098	Neyland Stadium	multipolygon	yes	"addr:city"=>"Knoxville","addr:housenumber"=>"...	32781.092686	POINT (-83.92569 35.95466)
1	12930066	Humanities and Social Sciences	multipolygon	university	NaN	2533.504774	POINT (-83.92902 35.95367)
2	15020855	McClung Tower	multipolygon	yes	"layer"=>"1"	701.942535	POINT (-83.92897 35.95408)
3	NaN	University Printing & Mail	NaN	university	NaN	4935.101437	POINT (-83.92825 35.94675)
4	NaN	UT Warehouse	NaN	university	NaN	2203.751396	POINT (-83.92908 35.94662)

In [3]:

m.add_basemap('roadmap')

m.add_basemap('roadmap')

In [4]:

m.add_draw_control()

m.add_draw_control()

In [5]:

m.add_geojson('data/sample.geojson')

m.add_geojson('data/sample.geojson')

In [7]:

m.add_layers_control()

m.add_layers_control()

In [7]:

m.add_search_control()

m.add_search_control()

In [3]:

m.add_vector('data/sample.geojson')

m.add_vector('data/sample.geojson')

In [9]:

url = 'http://mt0.google.com/vt/lyrs=y&hl=en&x={x}&y={y}&z={z}'
m.add_tile_layer(url = url, name = 'Google Satellite', attribution = 'Google')

url = 'http://mt0.google.com/vt/lyrs=y&hl=en&x={x}&y={y}&z={z}' m.add_tile_layer(url = url, name = 'Google Satellite', attribution = 'Google')

In [10]:

dist = kmaps.euclidean_dist([0, 0], [1, 1])
dist

dist = kmaps.euclidean_dist([0, 0], [1, 1]) dist

Out[10]:

1.4142135623730951

In [8]:

kmaps.generate_random_string(2)

kmaps.generate_random_string(2)

Out[8]:

'bs'

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Last update: 2023-05-12