74 csv to points

Uncomment the following line to install geemap if needed.

In [1]:

# !pip install geemap

# !pip install geemap

In [2]:

import os
import geemap

import os import geemap

In [3]:

# geemap.update_package()

# geemap.update_package()

In [4]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

Out[4]:

Make this Notebook Trusted to load map: File -> Trust Notebook

In [5]:

in_csv = 'https://raw.githubusercontent.com/giswqs/data/main/world/world_cities.csv'

in_csv = 'https://raw.githubusercontent.com/giswqs/data/main/world/world_cities.csv'

In [6]:

df = geemap.csv_to_pandas(in_csv)
df

df = geemap.csv_to_pandas(in_csv) df

Out[6]:

	id	name	country	latitude	longitude	population
0	1	Bombo	UGA	0.58330	32.53330	75000
1	2	Fort Portal	UGA	0.67100	30.27500	42670
2	3	Potenza	ITA	40.64200	15.79900	69060
3	4	Campobasso	ITA	41.56300	14.65600	50762
4	5	Aosta	ITA	45.73700	7.31500	34062
...	...	...	...	...	...	...
1244	1245	Rio de Janeiro	BRA	-22.92502	-43.22502	11748000
1245	1246	Sao Paulo	BRA	-23.55868	-46.62502	18845000
1246	1247	Sydney	AUS	-33.92001	151.18518	4630000
1247	1248	Singapore	SGP	1.29303	103.85582	5183700
1248	1249	Hong Kong	CHN	22.30498	114.18501	7206000

1249 rows × 6 columns

In [7]:

Map.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="csv to ee", to_ee=True)

Map.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="csv to ee", to_ee=True)

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [7], in <cell line: 1>()
----> 1 Map.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="csv to ee", to_ee=True)

AttributeError: 'Map' object has no attribute 'add_xy_data'

In [8]:

fc = geemap.csv_to_ee(in_csv)

fc = geemap.csv_to_ee(in_csv)

In [9]:

Map.addLayer(fc, {}, 'csv to ee 2')

Map.addLayer(fc, {}, 'csv to ee 2')

In [10]:

out_dir = os.path.expanduser('~/Downloads')
if not os.path.exists(out_dir):
    os.makedirs(out_dir)
out_shp = os.path.join(out_dir, 'world_cities.shp')

out_dir = os.path.expanduser('~/Downloads') if not os.path.exists(out_dir): os.makedirs(out_dir) out_shp = os.path.join(out_dir, 'world_cities.shp')

In [11]:

geemap.csv_to_shp(in_csv, out_shp)

geemap.csv_to_shp(in_csv, out_shp)

In [12]:

out_geojson = os.path.join(out_dir, 'world_cities.geojson')
geemap.csv_to_geojson(in_csv, out_geojson)

out_geojson = os.path.join(out_dir, 'world_cities.geojson') geemap.csv_to_geojson(in_csv, out_geojson)

In [13]:

gdf = geemap.csv_to_geopandas(in_csv)
gdf

gdf = geemap.csv_to_geopandas(in_csv) gdf

Out[13]:

	id	name	country	latitude	longitude	population	geometry
0	1	Bombo	UGA	0.58330	32.53330	75000	POINT (32.53330 0.58330)
1	2	Fort Portal	UGA	0.67100	30.27500	42670	POINT (30.27500 0.67100)
2	3	Potenza	ITA	40.64200	15.79900	69060	POINT (15.79900 40.64200)
3	4	Campobasso	ITA	41.56300	14.65600	50762	POINT (14.65600 41.56300)
4	5	Aosta	ITA	45.73700	7.31500	34062	POINT (7.31500 45.73700)
...	...	...	...	...	...	...	...
1244	1245	Rio de Janeiro	BRA	-22.92502	-43.22502	11748000	POINT (-43.22502 -22.92502)
1245	1246	Sao Paulo	BRA	-23.55868	-46.62502	18845000	POINT (-46.62502 -23.55868)
1246	1247	Sydney	AUS	-33.92001	151.18518	4630000	POINT (151.18518 -33.92001)
1247	1248	Singapore	SGP	1.29303	103.85582	5183700	POINT (103.85582 1.29303)
1248	1249	Hong Kong	CHN	22.30498	114.18501	7206000	POINT (114.18501 22.30498)

1249 rows × 7 columns

In [14]:

Map.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="Marker cluster")
Map

Map.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="Marker cluster") Map

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [14], in <cell line: 1>()
----> 1 Map.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="Marker cluster")
      2 Map

AttributeError: 'Map' object has no attribute 'add_xy_data'

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Last update: 2022-03-14