Weather stuff

open-meteo-example.py

# from https://open-meteo.com/en/docs#latitude=-23.5475&longitude=-46.6361&hourly=temperature_2m,rain

import openmeteo_requests  # pip install openmeteo-requests

import requests_cache # install requests-cache
import pandas as pd   # install pandas
from retry_requests import retry  # install retry-requests

# Setup the Open-Meteo API client with cache and retry on error
cache_session = requests_cache.CachedSession('.cache', expire_after = 3600)
retry_session = retry(cache_session, retries = 5, backoff_factor = 0.2)
openmeteo = openmeteo_requests.Client(session = retry_session)

# Make sure all required weather variables are listed here
# The order of variables in hourly or daily is important to assign them correctly below
url = "https://api.open-meteo.com/v1/forecast"
params = {   # São Paulo
    "latitude": -23.5475,
    "longitude": -46.6361,
    "hourly": ["temperature_2m", "rain"]
}
responses = openmeteo.weather_api(url, params=params)

# Process first location. Add a for-loop for multiple locations or weather models
response = responses[0]
print(f"Coordinates {response.Latitude()}°N {response.Longitude()}°E")
print(f"Elevation {response.Elevation()} m asl")
print(f"Timezone {response.Timezone()} {response.TimezoneAbbreviation()}")
print(f"Timezone difference to GMT+0 {response.UtcOffsetSeconds()} s")

# Process hourly data. The order of variables needs to be the same as requested.
hourly = response.Hourly()
hourly_temperature_2m = hourly.Variables(0).ValuesAsNumpy()
hourly_rain = hourly.Variables(1).ValuesAsNumpy()

hourly_data = {"date": pd.date_range(
    start = pd.to_datetime(hourly.Time(), unit = "s", utc = True),
    end = pd.to_datetime(hourly.TimeEnd(), unit = "s", utc = True),
    freq = pd.Timedelta(seconds = hourly.Interval()),
    inclusive = "left"
)}
hourly_data["temperature_2m"] = hourly_temperature_2m
hourly_data["rain"] = hourly_rain

hourly_dataframe = pd.DataFrame(data = hourly_data)
print(hourly_dataframe)
```

openweathermap-example.py

import requests  # pip install 
import tomllib  # if on Python 3.11+ or install and `import tomli as tomlli`  

"""
with open('/home/villares/api_tokens', 'rb') as f:
    api_tokens = tomllib.load(f)
API_KEY = api_tokens['openweathermap']['api_key']
"""
API_KEY = 'your API key'  # get one at www.openweathermap.org

# Set the latitude and longitude for the location you're interested in
latitude = '23.5475'
longitude = '-46.6361'

# URL for the OpenWeather Current Weather Data API
url = 'https://api.openweathermap.org/data/2.5/weather'
url_params = f'?lat={latitude}&lon={longitude}&units=metric&appid={API_KEY}'
# Make a request to the OpenWeather API
response = requests.get(url + url_params)

# Check if the request was successful
if response.status_code == 200:
    # Convert the response to JSON
    data = response.json()
    
    # Extract and print the temperature, weather description, and more
    temperature = data['main']['temp']
    weather_description = data['weather'][0]['description']
    humidity = data['main']['humidity']
    wind_speed = data['wind']['speed']
    
    print(f'Temperature: {temperature} C')  # &units=metric for C imperial for F
    print(f'Weather Description: {weather_description}')
    print(f'Humidity: {humidity}%')
    print(f'Wind Speed: {wind_speed} meter/sec')
else:
    print(response.status_code, 'Failed to retrieve data')

Temperature: 26.35 C
Weather Description: moderate rain
Humidity: 79%
Wind Speed: 9.33 meter/sec

{'coord': {'lon': -46.6361, 'lat': 23.5475}, 'weather': [{'id': 501, 'main': 'Rain', 'description': 'moderate rain', 'icon': '10d'}], 'base': 'stations', 'main': {'temp': 26.35, 'feels_like': 26.35, 'temp_min': 26.35, 'temp_max': 26.35, 'pressure': 1012, 'humidity': 79, 'sea_level': 1012, 'grnd_level': 1012}, 'visibility': 8093, 'wind': {'speed': 9.33, 'deg': 193, 'gust': 10.73}, 'rain': {'1h': 1.14}, 'clouds': {'all': 97}, 'dt': 1730226208, 'sys': {'sunrise': 1730193040, 'sunset': 1730233777}, 'timezone': -10800, 'id': 0, 'name': '', 'cod': 200}