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    "info": {
        "author": "Niklas Christoffer Petersen",
        "author_email": "nikalscp@gmail.com",
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            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
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        "description": "## Installation\n\n```pip install dmiapi```\n\n## Data available\n\n- observations\n- forecasts\n\n## Usage\n\nThe wrapper supports both synchronous and asynchronous methods.\n\n### Synchronous example\n```python\nimport pandas as pd\nimport dmiapi\n\nclient = dmiapi.DmiApiClient()\n\nobs_response = client.observations(station_id = 2619856)\nobs = pd.DataFrame(obs_response['observations'])\nprint('Mean temperature (2 meters above ground):', obs['temperature2m'].mean())\n```\n\n### Asynchronous example\n```python\nimport pandas as pd\nimport dmiapi\n\nasync def max_forecast_temp():\n    client = dmiapi.DmiApiClient()\n    forecasts_response = await client.async_forecasts(station_id = 2619856)\n    forecasts = pd.DataFrame(forecasts_response['forecasts'])\n    print('Forcasted max. temperature:', forecasts['temp'].max())\n```\n\n\n",
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        "keywords": "weather,metrology,forecast,dmi",
        "license": "MIT",
        "maintainer": "",
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        "name": "dmiapi",
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        "summary": "Wrapper for access weather observations and forecasts from the Danish Metrology Institute (DMI) API",
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