GISCO Geodata is a Python package that provides access to the European Commission's GISCO geospatial data.
Project description
Can be used to download geodata from the GISCO API.
Installation
Unreleased version
git clone https://github.com/alecsandrei/gisco-geodata.git
cd gisco-geodata
python3 -m pip install .
PyPI
pip install gisco-geodata
Requirements
- httpx
- async-cache
- Python >= 3.9
- Optional: GeoPandas
Examples
Also check the examples folder.
import os
from pathlib import Path
from gisco_geodata import (
NUTS,
Countries,
set_httpx_args,
set_semaphore_value
)
if __name__ == '__main__':
out_dir = Path(
os.path.normpath(os.path.expanduser("~/Desktop"))
) # Desktop path
set_httpx_args(verify=False) # prevents SSLError in my case
set_semaphore_value(20) # the maximum number of asynchronous API calls
nuts = NUTS()
nuts.download(
file_format='shp',
year='2021',
spatial_type='BN',
scale='60M',
projection='4326',
nuts_level='LEVL_3',
out_dir=out_dir,
)
# Equivalent to the above
datasets = nuts.get_datasets()
datasets[-1].download(
file_format='shp',
spatial_type='BN',
scale='60M',
projection='4326',
nuts_level='LEVL_3',
out_dir=out_dir,
)
# Retrieve Country information as Polygons
countries = Countries()
# If you have geopandas installed, this will be a GDF.
gdf = countries.get(
countries=['RO', 'IT'],
spatial_type='RG',
)
if not isinstance(gdf, list):
print(gdf.head(5))
else:
print(gdf)
You can also use it with the eurostat python package.
"""To use this script you will need to also install the 'eurostat' and the 'mapclassify' packages."""
from gisco_geodata import (
NUTS,
set_httpx_args
)
from eurostat import (
get_data_df,
get_toc_df,
set_requests_args
)
import geopandas as gpd
import matplotlib.pyplot as plt
if __name__ == "__main__":
set_httpx_args(verify=False)
set_requests_args(verify=False)
# Get the geometries from the gisco service.
nuts = NUTS()
level_2 = nuts.get(spatial_type='RG', nuts_level='LEVL_2')
assert isinstance(level_2, gpd.GeoDataFrame)
# Get the dataset information.
eurostat_database = get_toc_df()
code = eurostat_database.loc[eurostat_database['title'] == 'Unemployment rate by NUTS 2 regions', 'code'].iloc[0]
dataset = get_data_df(code)
assert dataset is not None
# Preprocess the dataset.
dataset = dataset.loc[(dataset['isced11'] == 'TOTAL') & (dataset['sex'] == 'T')] # total unemployment rate
# Join with the geometries.
dataset = level_2.merge(dataset, left_on='FID', right_on=r'geo\TIME_PERIOD')
assert isinstance(dataset, gpd.GeoDataFrame)
# Plot.
dataset.plot(column='2023', scheme='NaturalBreaks', legend=True, edgecolor='black',
title='Unemployment rate by NUTS 2 regions, 2023')
plt.show()
Disclaimer
This plugin, Eurostat Downloader, is an independent project created by Cuvuliuc Alex-Andrei. It is not an official product of Eurostat, and Cuvuliuc Alex-Andrei is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Eurostat or any of its subsidiaries or its affiliates.
Copyright notice
Before using this package, please read the information provided by Eurostat.
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