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        "description": "# Environment Canada (env_canada)\n\nThis package provides access to various data sources published by [Environment and Climate Change Canada](https://www.canada.ca/en/environment-climate-change.html).\n\n## Weather Observations and Forecasts\n\n`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](https://dd.weather.gc.ca/citypage_weather/docs/site_list_towns_en.csv). For example:\n\n```python\nimport asyncio\n\nfrom env_canada import ECWeather\n\nec_en = ECWeather(coordinates=(50, -100))\nec_fr = ECWeather(station_id='ON/s0000430', language='french')\n\nasyncio.run(ec_en.update())\n\n# current conditions\nec_en.conditions\n\n# daily forecasts\nec_en.daily_forecasts\n\n# hourly forecasts\nec_en.hourly_forecasts\n\n# alerts\nec_en.alerts\n```\n\n## Weather Radar\n\n`ECRadar` provides Environment Canada meteorological [radar imagery](https://weather.gc.ca/radar/index_e.html).\n\n```python\nimport asyncio\n\nfrom env_canada import ECRadar\n\nradar_coords = ECRadar(coordinates=(50, -100))\n\n# Conditions Available\nanimated_gif = asyncio.run(radar_coords.get_loop())\nlatest_png = asyncio.run(radar_coords.get_latest_frame())\n```\n\n## Air Quality Health Index (AQHI)\n\n`ECAirQuality` provides Environment Canada [air quality](https://weather.gc.ca/airquality/pages/index_e.html) data.\n\n```python\nimport asyncio\n\nfrom env_canada import ECAirQuality\n\naqhi_coords = ECAirQuality(coordinates=(50, -100))\n\nasyncio.run(aqhi_coords.update())\n\n# Data available\naqhi_coords.current\naqhi_coords.forecasts\n```\n\n## Water Level and Flow\n\n`ECHydro` provides Environment Canada [hydrometric](https://wateroffice.ec.gc.ca/mainmenu/real_time_data_index_e.html) data.\n\n```python\nimport asyncio\n\nfrom env_canada import ECHydro\n\nhydro_coords = ECHydro(coordinates=(50, -100))\n\nasyncio.run(hydro_coords.update())\n\n# Data available\nhydro_coords.measurements\n```\n\n## Historical Weather Data\n\n`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:\n\n```python\nimport asyncio\n\nfrom env_canada import ECHistorical, get_historical_stations\n\n# search for stations, response contains station_ids\ncoordinates = [53.916944, -122.749444] # [lat, long]\n\n# coordinates: [lat, long]\n# radius: km\n# limit: response limit, value one of [10, 25, 50, 100]\n# The result contains station names and ID values.\nstations = asyncio.run(get_historical_stations(coordinates, radius=200, limit=100))\n\nec_en_xml = ECHistorical(station_id=31688, year=2020, language=\"english\", format=\"xml\")\nec_fr_xml = ECHistorical(station_id=31688, year=2020, language=\"french\", format=\"xml\")\nec_en_csv = ECHistorical(station_id=31688, year=2020, language=\"english\", format=\"csv\")\nec_fr_csv = ECHistorical(station_id=31688, year=2020, language=\"french\", format=\"csv\")\n\nasyncio.run(ec_en_xml.update())\nasyncio.run(ec_en_csv.update())\n\n# metadata describing the station\nec_en_xml.metadata\n\n# historical weather data, in dictionary form\nec_en_xml.station_data\n\n# csv-generated responses return csv-like station data\nimport pandas as pd\ndf = pd.read_csv(ec_en_csv.station_data)\n\n```\n\n# License\n\nThe code is available under terms of [MIT License](LICENSE.md)\n\n\n",
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