Skip to main content

A Python wrapper for the APIs of MeasureSpace.io

Project description

Measure Space API Python Package

A Python package for accessing weather, climate, air quality, and geocoding APIs provided by MeasureSpace.io.

Features

  • Get hourly and daily weather forecasts
  • Get daily climate forecasts
  • Get hourly and daily air quality forecasts
  • Geocoding: convert city names to coordinates and vice versa
  • Unified API call interface with flexible parameters

Installation

Clone the repository and install dependencies:

pip install -e .

Or install from PyPI:

pip install measure-space-api

Usage

Get Weather, Climate and Air Quality Variables

Import the package and call the functions:

from measure_space_api import (
    get_hourly_weather, get_daily_weather, get_daily_climate,
    get_hourly_air_quality, get_daily_air_quality,
    get_lat_lon_from_city, get_city_from_lat_lon
)

# Example: Get hourly weather by coordinates
api_key = "YOUR_API_KEY"
params = {
    # Variable names and meaning can be found at https://measurespace.io/documentation#global-hourly-weather-forecast-variables
    "variables": "tp,t2m",
    "unit": "metric"
}
df = get_hourly_weather(api_key, latitude=40.2, longitude=110.2, params=params, return_json=False)
print(df.head())

# Example: Get hourly weather by city name
geocoding_api_key = "YOUR_GEOCODING_API_KEY"
df = get_hourly_weather(api_key, geocoding_api_key, location_name="Beijing", params=params, return_json=False)
print(df.head())

Get City Coordinates

from measure_space_api.main import get_lat_lon_from_city
lat, lon = get_lat_lon_from_city(geocoding_api_key, "Shanghai")
print(lat, lon)

Use Environment Variables

You may use a .env file to store your API keys and load them with python-dotenv.

HOURLY_WEATHER_API_KEY=your_hourly_weather_key
DAILY_WEATHER_API_KEY=your_daily_weather_key
DAILY_CLIMATE_API_KEY=your_daily_climate_key
AIR_QUALITY_API_KEY=your_air_quality_key
GEOCODING_API_KEY=your_geocoding_key

Call API using API keys from .env file.

from measure_space_api import (
    get_hourly_weather, get_daily_weather, get_daily_climate,
    get_hourly_air_quality, get_daily_air_quality,
    get_lat_lon_from_city, get_city_from_lat_lon
)
from dotenv import load_dotenv
import os

# Load environment variables from .env file
load_dotenv()
# Example: Get hourly weather by coordinates
params = {
    # Variable names and meaning can be found at https://measurespace.io/documentation#global-hourly-weather-forecast-variables
    "variables": "tp,t2m",
    "unit": "metric"
}
df = get_hourly_weather(HOURLY_WEATHER_API_KEY, latitude=40.2, longitude=110.2, params=params, return_json=False)
print(df.head())

API Functions

Weather and Climate

  • get_hourly_weather(api_key, geocoding_api_key=None, location_name=None, latitude=None, longitude=None, params={'variables': 'tp, t2m', 'unit': 'metric'}, return_json=True)
  • get_daily_weather(api_key, geocoding_api_key=None, location_name=None, latitude=None, longitude=None, params={'variables': 'tp, minT, maxT', 'unit': 'metric'}, return_json=True)
  • get_daily_climate(api_key, geocoding_api_key=None, location_name=None, latitude=None, longitude=None, params={'variables': 'tp, tmin, tmax', 'unit': 'metric'}, return_json=True)

Air Quality

  • get_hourly_air_quality(api_key, geocoding_api_key=None, location_name=None, latitude=None, longitude=None, params={'variables': 'AQI, DP'}, return_json=True)
  • get_daily_air_quality(api_key, geocoding_api_key=None, location_name=None, latitude=None, longitude=None, params={'variables': 'AQI'}, return_json=True)

Geocoding

  • get_lat_lon_from_city(api_key, location_name)
  • get_city_from_lat_lon(api_key, latitude, longitude)

Parameters

  • api_key: Your API key for the weather/climate/air quality service
  • geocoding_api_key: (Optional) API key for geocoding service
  • location_name: (Optional) City name (e.g., "New York", "Beijing, China")
  • latitude, longitude: (Optional) Coordinates
  • params: (Optional) Dictionary of additional API parameters (e.g., variables, units, local_flag)
  • return_json: If True, returns JSON; if False, returns a pandas DataFrame

API Documentation

Publish to PyPI

  • uv build
  • uv publish --token <your-pypi-token>

License

Apache License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

measure_space_api-0.1.3.tar.gz (12.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

measure_space_api-0.1.3-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file measure_space_api-0.1.3.tar.gz.

File metadata

  • Download URL: measure_space_api-0.1.3.tar.gz
  • Upload date:
  • Size: 12.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.10

File hashes

Hashes for measure_space_api-0.1.3.tar.gz
Algorithm Hash digest
SHA256 e07ede4371d064be7a692bdb867d552142b3b21025a9e96974c7aacf7967f930
MD5 e18fdf7d7f90e44be5dca1cf6477585e
BLAKE2b-256 e443373b51a2de29565d98081798e013e2b5c4a473c4a0944b808b0b82695e24

See more details on using hashes here.

File details

Details for the file measure_space_api-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for measure_space_api-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 be09281933feef0a49ed8292807a810800a74dbd3b0278e1283fb64e08a53412
MD5 5d1497e35e898792bd03e9737271a9ba
BLAKE2b-256 1d489a4ec3919e705678fe398d04b49e7db0c6441f3218096798d35b6cbf4255

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page