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    "info": {
        "author": "Fatih Celik",
        "author_email": "fatih.celik@b2metric.com",
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            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 3"
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        "description": "# noaa-weather-api \n\nYou can access historical weather data with NOAA Weather API.\n\n## Getting Started\n\nMethod : ```get_all_stations_in_location(): ```\n\nReturns all stations in that given country.\n```df_s``` is a data frame that contains information such as station code, latitude and longitude.\n\n```\nfrom noaa import get_all_stations_in_location as gas\n\ndf_s = get_all_stations(dataset, location, n_token)\n```\n\n```df_s``` looks like this:\n\n![alt_text](images/df_s.png)\n\n\nMethod : ```get_bulk_weather_in_station():```\n\n\nReturns one historical weather report for a given station between two dates, using one of the resulting station id's.\n\nDate: Must be in ```String``` and ```YYYY-MM-DD``` format. Example: ```'2019-06-26'```\n```\ndf_w = get_bulk_weather_in_station(dataset, location, s_date, e_date, n_token)\n```\n\n\n```df_w``` looks like this:\n![alt_text](images/df_w.png)\n\n\nFor more information about abbreviations: [click here](ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/readme.txt).\n\n\n\n\n\n\n\n\n",
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        "name": "noaa-weather",
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        "summary": "A bulk historical weather data from National Oceanic and Atmospheric Administration.",
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