Skip to main content

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

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

env_canada-0.5.22.tar.gz (21.1 kB view details)

Uploaded Source

Built Distribution

env_canada-0.5.22-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file env_canada-0.5.22.tar.gz.

File metadata

  • Download URL: env_canada-0.5.22.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for env_canada-0.5.22.tar.gz
Algorithm Hash digest
SHA256 0b144f916e7fa6bc77e0cfef16bc0255de6c7a06528f83b130cdc8e423564776
MD5 59f99ebe55842ac93e73edce8d60e096
BLAKE2b-256 4a47a96efb1965d7e81986d20a07dc9e75a98bca9627366be4712f47f8173e18

See more details on using hashes here.

File details

Details for the file env_canada-0.5.22-py3-none-any.whl.

File metadata

  • Download URL: env_canada-0.5.22-py3-none-any.whl
  • Upload date:
  • Size: 22.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for env_canada-0.5.22-py3-none-any.whl
Algorithm Hash digest
SHA256 b5702b1aae7a4050d9d38e3179044de771b9794282863d44a263a5a1eb0f3fc4
MD5 8fe0b9024cd7f0aea25a03e47b97b899
BLAKE2b-256 7d98c233826d6c80a8e84fd0ecabe9a1d781c0dd953cb0df6531e0eea0debe43

See more details on using hashes here.

Supported by

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