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Change","sub_category":"Climate Data Access and Visualization","monthly_downloads":607448,"total_dependent_repos":41,"total_dependent_packages":10,"readme":"\u003c!-- PROJECT SHIELDS --\u003e\n\u003cdiv align=\"center\"\u003e\n  \n  [![Downloads][downloads-shield]][downloads-url]\n  [![Coverage][coverage-shield]][coverage-url]\n  [![Provider Tests][provider-tests-shield]][provider-tests-url]\n  [![Issues][issues-shield]][issues-url]\n  [![MIT License][license-shield]][license-url]\n  [![Stargazers][stars-shield]][stars-url]\n  \n\u003c/div\u003e\n\n\n\u003c!-- PROJECT LOGO --\u003e\n\u003cbr /\u003e\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://github.com/meteostat/meteostat\"\u003e\n    \u003cimg src=\"https://media.meteostat.net/icon.svg\" alt=\"Meteostat Logo\" width=\"80\" height=\"80\"\u003e\n  \u003c/a\u003e\n\n  \u003ch3 align=\"center\"\u003eMeteostat Python Package\u003c/h3\u003e\n\n  \u003cp align=\"center\"\u003e\n    Access and analyze historical weather and climate data with Python.\n    \u003cp\u003e\n      \u003ca href=\"https://dev.meteostat.net/python\"\u003e\u003cstrong\u003eExplore the docs »\u003c/strong\u003e\u003c/a\u003e\n    \u003c/p\u003e\n    \u003cp\u003e\n      \u003ca href=\"https://meteostat.net\"\u003eVisit Website\u003c/a\u003e\n      \u0026middot;\n      \u003ca href=\"https://github.com/meteostat/meteostat/issues\"\u003eReport Bug\u003c/a\u003e\n      \u0026middot;\n      \u003ca href=\"https://github.com/orgs/meteostat/discussions\"\u003eRequest Feature\u003c/a\u003e\n    \u003c/p\u003e\n  \u003c/p\u003e\n\u003c/div\u003e\n\n## 📚 Installation\n\nThe Meteostat Python package is available through [PyPI](https://pypi.org/project/meteostat/):\n\n```sh\npip install meteostat\n```\n\n## 🚀 Usage\n\nLet's plot 2018 temperature data for Frankfurt, Germany:\n\n```python\nfrom datetime import date\nimport matplotlib.pyplot as plt\nimport meteostat as ms\n\n# Specify location and time range\nPOINT = ms.Point(50.1155, 8.6842, 113)  # Try with your location\nSTART = date(2018, 1, 1)\nEND = date(2018, 12, 31)\n\n# Get nearby weather stations\nstations = ms.stations.nearby(POINT, limit=4)\n\n# Get daily data \u0026 perform interpolation\nts = ms.daily(stations, START, END)\ndf = ms.interpolate(ts, POINT).fetch()\n\n# Plot line chart including average, minimum and maximum temperature\ndf.plot(y=[ms.Parameter.TEMP, ms.Parameter.TMIN, ms.Parameter.TMAX])\nplt.show()\n```\n\nTake a look at the expected output:\n\n![2018 temperature data for Frankfurt, Germany][product-screenshot]\n\n## 🤝 Contributing\n\nPlease read our [contributing guidelines](https://dev.meteostat.net/python/contributing) for details on how to contribute to the Meteostat Python library.\n\n**Top contributors**\n\n\u003ca href=\"https://github.com/meteostat/meteostat/graphs/contributors\"\u003e\n  \u003cimg src=\"https://contrib.rocks/image?repo=meteostat/meteostat\" alt=\"Meteostat Contributors\" /\u003e\n\u003c/a\u003e\n\n## 🌟 Featured In\n\nMeteostat has been featured and used by various media outlets and organizations, including:\n\n- [Towards Data Science](https://towardsdatascience.com/get-temperature-data-by-location-with-python-52ed872dd621/)\n- [ZEIT ONLINE](https://www.zeit.de/digital/internet/2022-03/desinformation-russland-ukraine-fotos-fake-news-falschinformation-echtheit)\n- [Deutsche Presse-Agentur (dpa)](https://dpa-factchecking.com/germany/230103-99-92282/)\n- [heise online](https://www.heise.de/news/Open-Source-Projekt-zu-Klimadaten-Meteostat-Python-Library-1-0-erschienen-4985015.html)\n\nJoin the growing community of users and researchers relying on Meteostat for their weather data needs.\n\n## 📄 License\n\nMeteostat is licensed under the [**MIT License**](https://github.com/meteostat/meteostat/blob/main/LICENSE). Data provided by Meteostat is generally licensed under the [**Creative Commons Attribution 4.0 International (CC BY 4.0)**](https://creativecommons.org/licenses/by/4.0) license. Please refer to the [documentation](https://dev.meteostat.net/license) for more information.\n\n\n\u003c!-- MARKDOWN LINKS \u0026 IMAGES --\u003e\n\u003c!-- https://www.markdownguide.org/basic-syntax/#reference-style-links --\u003e\n[downloads-shield]: https://img.shields.io/pypi/dm/meteostat\n[downloads-url]: https://pypi.org/project/meteostat/\n[coverage-shield]: https://codecov.io/gh/meteostat/meteostat/branch/main/graph/badge.svg\n[coverage-url]: https://codecov.io/gh/meteostat/meteostat\n[provider-tests-shield]: https://github.com/meteostat/meteostat/actions/workflows/provider-tests.yml/badge.svg\n[provider-tests-url]: https://github.com/meteostat/meteostat/actions/workflows/provider-tests.yml\n[issues-shield]: https://img.shields.io/github/issues/meteostat/meteostat.svg\n[issues-url]: https://github.com/meteostat/meteostat/issues\n[license-shield]: https://img.shields.io/github/license/meteostat/meteostat.svg\n[license-url]: https://github.com/meteostat/meteostat?tab=readme-ov-file#-license\n[product-screenshot]: https://dev.meteostat.net/assets/images/example-8b6cf2a3fe2efa285bc72d7dc72c4865.png\n[stars-shield]: https://img.shields.io/github/stars/meteostat/meteostat.svg\n[stars-url]: https://github.com/meteostat/meteostat/stargazers","funding_links":["https://github.com/sponsors/meteostat","https://patreon.com/meteostat","https://www.paypal.com/donate?hosted_button_id=MQ67WRDC8EW38"],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/859","html_url":"https://ost.ecosyste.ms/projects/859"}