An easy downloader for the AirBase air quality data.
AirBase is an air quality database provided by the European Environment Agency (EEA). The data is available for download at the portal, but the interface makes it a bit time consuming to do bulk downloads. Hence, an easy Python-based interface.
Read the full documentation at https://airbase.readthedocs.io.
To install airbase, simply run
$ pip install airbase🗺 Get info about available countries and pollutants:
>>> import airbase
>>> client = airbase.AirbaseClient()
>>> client.all_countries
['GR', 'ES', 'IS', 'CY', 'NL', 'AT', 'LV', 'BE', 'CH', 'EE', 'FR', 'DE', ...
>>> client.all_pollutants
{'CO': '10', 'NO': '38', 'NO2': '8', 'NOX as NO2': '9', 'O3': '7', ...
>>> client.pollutants_per_country
{'AD': [{'pl': 'CO', 'shortpl': '10'}, {'pl': 'NO', 'shortpl': '38'}, ...
>>> client.search_pollutant("O3")
[{'pl': 'O3', 'shortpl': '7'}, {'pl': 'NO3', 'shortpl': '46'}, ...🗂 Request download links from the server and save the resulting CSVs into a directory:
>>> r = client.request(country=["NL", "DE"], pl="NO3", year_from=2015)
>>> r.download_to_directory(dir="data", skip_existing=True)
Generating CSV download links...
100%|██████████| 2/2 [00:03<00:00, 2.03s/it]
Generated 12 CSV links ready for downloading
Downloading CSVs to data...
100%|██████████| 12/12 [00:01<00:00, 8.44it/s]💾 Or concatenate them into one big file:
>>> r = client.request(country="FR", pl=["O3", "PM10"], year_to=2014)
>>> r.download_to_file("data/raw.csv")
Generating CSV download links...
100%|██████████| 2/2 [00:12<00:00, 7.40s/it]
Generated 2,029 CSV links ready for downloading
Writing data to data/raw.csv...
100%|██████████| 2029/2029 [31:23<00:00, 1.04it/s]📦 Download the entire dataset (not for the faint of heart):
>>> r = client.request()
>>> r.download_to_directory("data")
Generating CSV download links...
100%|██████████| 40/40 [03:38<00:00, 2.29s/it]
Generated 146,993 CSV links ready for downloading
Downloading CSVs to data...
0%| | 299/146993 [01:50<17:15:06, 2.36it/s]🌡 Don't forget to get the metadata about the measurement stations:
>>> client.download_metadata("data/metadata.tsv")
Writing metadata to data/metadata.tsv...- Parallel CSV downloads (in progress)
- CLI to avoid using Python all together
- Data wrangling module for AirBase output data
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent