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Detrending is accomplishd by a coarse fitted\nspline, mean or median filters, or a fitted line.\n\nSee https://github.com/welch/seasonal/README.md for details on installation, API, theory, and examples.\n\nDependencies\n-------------\n* package: numpy, scipy\n* extras: pandas, matplotlib", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/welch/seasonal", "keywords": "timeseries,seasonality,seasonal adjustment,detrend,robust estimation,theil-sen,Holt-Winters", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "seasonal", "package_url": "https://pypi.org/project/seasonal/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/seasonal/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/welch/seasonal" }, "release_url": "https://pypi.org/project/seasonal/0.3.1/", "requires_dist": null, "requires_python": 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