Environment

import requests

from datetime import datetime, timedelta, timezone

yesterday_noon = (datetime.now(timezone.utc) - timedelta(days=1)).replace(
    hour=12, minute=0, second=0, microsecond=0
)
params = {
    "timestamp": yesterday_noon.isoformat(),   # ISO accepted; epoch also works
}

url = "https://api.mobilitytwin.brussels/environment/weather"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()

# Display current weather in Brussels
temp_c = data['main']['temp'] - 273.15
feels_like_c = data['main']['feels_like'] - 273.15
weather = data['weather'][0]['description']
print(f"Brussels: {weather}")
print(f"Temperature: {temp_c:.1f}C (feels like {feels_like_c:.1f}C)")
print(f"Humidity: {data['main']['humidity']}%, Wind: {data['wind']['speed']} m/s")
print(f"Visibility: {data['visibility'] / 1000:.1f} km")

import requests
import geopandas as gpd

from datetime import datetime, timedelta, timezone

yesterday_noon = (datetime.now(timezone.utc) - timedelta(days=1)).replace(
    hour=12, minute=0, second=0, microsecond=0
)
params = {
    "timestamp": yesterday_noon.isoformat(),   # ISO accepted; epoch also works
}

url = "https://api.mobilitytwin.brussels/environment/air-quality"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# Show air quality measurements per station
for _, station in gdf.head(10).iterrows():
    label = station.get('label', 'N/A')
    value = station.get('last_value', 'N/A')
    unit = station.get('unit', '')
    print(f"{label}: {value} {unit}")

# Plot monitoring stations
gdf.plot(figsize=(10, 8), column='last_value', legend=True, markersize=20, cmap='RdYlGn_r')