![Maven Central Adds Sigstore Signature Validation](https://cdn.sanity.io/images/cgdhsj6q/production/7da3bc8a946cfb5df15d7fcf49767faedc72b483-1024x1024.webp?w=400&fit=max&auto=format)
Security News
Maven Central Adds Sigstore Signature Validation
Maven Central now validates Sigstore signatures, making it easier for developers to verify the provenance of Java packages.
A Python wrapper around the Meteoclimatic service.
PyMeteoclimatic is a client Python wrapper library for Meteoclimatic. Meteoclimatic is a large network of non-professional automatic real-time weather stations and an important directory of weather resources. The geographical scope of Meteoclimatic comprises the Iberian Peninsula, the two Spanish archipelagos (the Balearic Islands and the Canary Islands), southern France and Africa near the Strait of Gibraltar.
PyMeteoclimatic relies on the Meteoclimatic RSS feed. More specifically, PyMeteoclimatic leverages the coded, normalized data blocks included as HTML comments in the feeds between the [[<BEGIN:identificador:DATA>]]
and [[<END:identificador:DATA>]]
tags to obtain station weather information.
With PyMeteoclimatic you can obtain weather information directly from Meteoclimatic stations identified by their code. You can find out the station code from the station profile page in the Meteoclimatic site.
When obtaining the weather information from a station, you will get a meteoclimatic.Observation
object, which represents the weather which is currently being observed from a certain station and contains the following fields.
Field | Type | Description |
---|---|---|
reception_time | datetime.datetime | Timestamp telling when the weather obervation has been received from the station |
station | meteoclimatic.Station | The Station relative to this observation |
weather | meteoclimatic.Weather | The Weather relative to this observation |
A meteoclimatic.Station
object contains the following data.
Field | Type | Description |
---|---|---|
name | str | Name of the station |
code | str | Meteoclimatic code of the station (e.g. "ESCAT4300000043206B") |
url | str | URL of the Meteoclimatic station page |
A meteoclimatic.Weather
object contains the following data. Note that not all stations have the same physical sensors and capabilities (e.g. pluviometer, barometer, ...), therefore, some of these values may be None
for some stations. Check the Meteoclimatic station page for more information on your preferred station capabilities.
Field | Type | Description |
---|---|---|
reference_time | datetime.datetime | Timestamp of weather measurement |
condition | meteoclimatic.Condition or str | Single-word weather condition (e.g. "sun", "suncloud", "rain", ...). If it's a recognized condition, it will be mapped to a value of the meteoclimatic.Condition enumerate, otherwise it will be stored as a string |
temp_current | float | Current temperature in Celsius |
temp_max | float | Maximum temperature in Celsius for the past 24 hours |
temp_min | float | Minimum temperature in Celsius for the past 24 hours |
humidity_current | float | Current humidity in percentage points |
humidity_max | float | Maximum humidity in percentage points for the past 24 hours |
humidity_min | float | Minimum humidity in percentage points for the past 24 hours |
pressure_current | float | Current atmospheric pressure in hPa units |
pressure_max | float | Maximum atmospheric pressure in hPa units for the past 24 hours |
pressure_min | float | Minimum atmospheric pressure in hPa units for the past 24 hours |
wind_current | float | Current wind speed in km/h units |
wind_max | float | Maximum wind speed in km/h units for the past 24 hours |
wind_bearing | float | Wind bearing in degree units |
rain | float | Precipitation in mm units for the past 24 hours |
Install with pip
for your ease.
$ pip install pymeteoclimatic
from meteoclimatic import MeteoclimaticClient
client = MeteoclimaticClient()
observation = client.weather_at_station("ESCAT4300000043206B")
print("Timestamp")
print("~~~~~~~~~")
print(observation.reception_time)
print()
print("Station")
print("~~~~~~~")
print(observation.station)
print()
print("Weather")
print("~~~~~~~")
print(observation.weather)
Output:
Timestamp
~~~~~~~~~
2020-06-09 13:45:55+00:00
Station
~~~~~~~
<class 'meteoclimatic.station.Station'>({'name': 'Reus - Nord (Tarragona)', 'code': 'ESCAT4300000043206B', 'url': 'http://www.meteoclimatic.net/perfil/ESCAT4300000043206B'})
Weather
~~~~~~~
<class 'meteoclimatic.weather.Weather'>({'reference_time': datetime.datetime(2020, 6, 9, 13, 45, 55, tzinfo=datetime.timezone.utc), 'condition': <Condition.sun: 'sun'>, 'temp_current': 24.0, 'temp_max': 24.2, 'temp_min': 13.7, 'humidity_current': 45.0, 'humidity_max': 80.0, 'humidity_min': 44.0, 'pressure_current': 1013.5, 'pressure_max': 1015.3, 'pressure_min': 1013.5, 'wind_current': 13.0, 'wind_max': 31.0, 'wind_bearing': 232.0, 'rain': 0.2})
Please feel free to submit issues or fork the repository and send pull requests to update the library and fix bugs, implement support for new sentence types, refactor code, etc.
FAQs
A Python wrapper around the Meteoclimatic service
We found that pymeteoclimatic demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Maven Central now validates Sigstore signatures, making it easier for developers to verify the provenance of Java packages.
Security News
CISOs are racing to adopt AI for cybersecurity, but hurdles in budgets and governance may leave some falling behind in the fight against cyber threats.
Research
Security News
Socket researchers uncovered a backdoored typosquat of BoltDB in the Go ecosystem, exploiting Go Module Proxy caching to persist undetected for years.