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A package to access meteorological data from Environment Canada

Project description

Environment Canada (env_canada)

This package provides access to various data sources published by Environment and Climate Change Canada.

Weather Observations and Forecasts

ECWeather provides current conditions and forecasts. It automatically determines which weather station to use based on latitude/longitude provided. It is also possible to specify a specific station code of the form AB/s0000123 based on those listed in this CSV file. For example:

import asyncio

from env_canada import ECWeather

ec_en = ECWeather(coordinates=(50, -100))
ec_fr = ECWeather(station_id='ON/s0000430', language='french')

asyncio.run(ec_en.update())

# current conditions
ec_en.conditions

# daily forecasts
ec_en.daily_forecasts

# hourly forecasts
ec_en.hourly_forecasts

# alerts
ec_en.alerts

Weather Radar

ECRadar provides Environment Canada meteorological radar imagery.

import asyncio

from env_canada import ECRadar

radar_coords = ECRadar(coordinates=(50, -100))

# Conditions Available
animated_gif = asyncio.run(radar_coords.get_loop())
latest_png = asyncio.run(radar_coords.get_latest_frame())

Air Quality Health Index (AQHI)

ECAirQuality provides Environment Canada air quality data.

import asyncio

from env_canada import ECAirQuality

aqhi_coords = ECAirQuality(coordinates=(50, -100))

asyncio.run(aqhi_coords.update())

# Data available
aqhi_coords.current
aqhi_coords.forecasts

Water Level and Flow

ECHydro provides Environment Canada hydrometric data.

import asyncio

from env_canada import ECHydro

hydro_coords = ECHydro(coordinates=(50, -100))

asyncio.run(hydro_coords.update())

# Data available
hydro_coords.measurements

Historical Weather Data

ECHistorical provides historical daily weather data. The ECHistorical object is instantiated with a station ID, year, language, and format (one of xml or csv). Once updated asynchronously, historical weather data is contained with the station_data property. If xml is requested, station_data will appear in a dictionary form. If csv is requested, station_data will contain a CSV-readable buffer. For example:

import asyncio

from env_canada import ECHistorical, get_historical_stations

# search for stations, response contains station_ids
coordinates = [53.916944, -122.749444] # [lat, long]

# coordinates: [lat, long]
# radius: km
# limit: response limit, value one of [10, 25, 50, 100]
# The result contains station names and ID values.
stations = asyncio.run(get_historical_stations(coordinates, radius=200, limit=100))

ec_en_xml = ECHistorical(station_id=31688, year=2020, language="english", format="xml")
ec_fr_xml = ECHistorical(station_id=31688, year=2020, language="french", format="xml")
ec_en_csv = ECHistorical(station_id=31688, year=2020, language="english", format="csv")
ec_fr_csv = ECHistorical(station_id=31688, year=2020, language="french", format="csv")

asyncio.run(ec_en_xml.update())
asyncio.run(ec_en_csv.update())

# metadata describing the station
ec_en_xml.metadata

# historical weather data, in dictionary form
ec_en_xml.station_data

# csv-generated responses return csv-like station data
import pandas as pd
df = pd.read_csv(ec_en_csv.station_data)

License

The code is available under terms of MIT License

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