{ "info": { "author": "kegeppa", "author_email": "", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 3" ], "description": "Search From Plot\n================\n\n\u6982\u8981\n----\n\n| \u6563\u5e03\u56f3\u307e\u305f\u306f\u7bb1\u3072\u3052\u56f3\u304b\u3089\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\n| \u95a2\u6570\u3092\u547c\u3073\u51fa\u3059\u3068\u3001tk\u30a6\u30a3\u30f3\u30c9\u30a6\u304c\u7acb\u3061\u4e0a\u304c\u308a\u307e\u3059\n| \u30a6\u30a3\u30f3\u30c9\u30a6\u306b\u8868\u793a\u3055\u308c\u305f\u56f3\u4e0a\u3092\u30c9\u30e9\u30c3\u30b0\u3059\u308b\u3053\u3068\u3067\u7bc4\u56f2\u3092\u6307\u5b9a\u3067\u304d\u3001\n| \u7bc4\u56f2\u5185\u306b\u30d7\u30ed\u30c3\u30c8\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u3092DataFrame\u3067\u53d7\u3051\u53d6\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\n\njupyter notebook\u4e0a\u3067\u4f7f\u3046\u3053\u3068\u3092\u60f3\u5b9a\u3057\u3066\u3044\u307e\u3059\n\n\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\n------------\n\n.. code:: bash\n\n $ pip install sfplot\n\n\u4f7f\u3044\u65b9\n------\n\n\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u306biris\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5229\u7528\u3057\u307e\u3059\n\n.. code:: python\n\n from sklearn.datasets import load_iris\n import seaborn as sns\n iris_dataset = sns.load_dataset('iris')\n iris_dataset.head(10)\n\n|image0|\n\n\u5bfe\u6563\u5e03\u56f3\u304b\u3089\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\n~~~~~~~~~~~~~~~~~~~~~~~~\n\n- | pandas\n DataFrame\u3068\u3001\u6563\u5e03\u56f3\u306b\u3057\u305f\u3044\u30ab\u30e9\u30e0\u540d\u3092\u5f15\u6570\u306b\u3057\u3066SearchFromPlot\u3092\u8d77\u52d5\u3057\u307e\u3059\n | \u5f15\u6570x,y\u306b\u306f\u6570\u5024(int, float)\u578b\u306e\u30ab\u30e9\u30e0\u306e\u307f\u6307\u5b9a\u53ef\u80fd\u3067\u3059\n\n .. code:: python\n\n import sfplot\n search_result_df = sfplot.scatter(iris_dataset, x='sepal_length', y='sepal_width')\n\n- | \u30a6\u30a3\u30f3\u30c9\u30a6\u304c\u8d77\u52d5\u3057\u307e\u3059\n | |image1|\n\n- | \u53d6\u5f97\u3057\u305f\u3044\u30c7\u30fc\u30bf\u306e\u7bc4\u56f2\u3092\u30c9\u30e9\u30c3\u30b0\u3057\u307e\u3059\n | |image2|\n\n- | \u300c4\u4ef6\u53d6\u5f97\u300d\u3068\u66f8\u304b\u308c\u305f\u30dc\u30bf\u30f3\u3092\u62bc\u4e0b\u3059\u308b\u3068\u3001\u30a6\u30a3\u30f3\u30c9\u30a6\u304c\u9589\u3058\u3001\n | \u9078\u629e\u7bc4\u56f2\u5185\u306e\u30ec\u30b3\u30fc\u30c9\u3092\u62bd\u51fa\u3057\u305fDataFrame\u3092\u8fd4\u5374\u3057\u307e\u3059\n\n .. code:: python\n\n search_result_df\n\n |image3|\n\n- | \u4e00\u5ea6\u306b\u8907\u6570\u56de\u7bc4\u56f2\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\n | |image4|\n | |image5|\n\n\u7bb1\u3072\u3052\u56f3\u304b\u3089\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\n~~~~~~~~~~~~~~~~~~~~~~~~\n\n- | pandas\n DataFrame\u3068\u3001\u7bb1\u3072\u3052\u56f3\u306b\u3057\u305f\u3044\u30ab\u30e9\u30e0\u540d\u3092\u5f15\u6570\u306b\u3057\u3066SearchFromPlot\u3092\u8d77\u52d5\u3057\u307e\u3059\n | \u5f15\u6570x\u306b\u306fobject\u578b\u306e\u30ab\u30e9\u30e0\u3001\u5f15\u6570y\u306b\u306f\u6570\u5024(int,\n float)\u578b\u306e\u30ab\u30e9\u30e0\u306e\u307f\u6307\u5b9a\u53ef\u80fd\u3067\u3059\n\n .. code:: python\n\n search_result_df = sfplot.boxplot(iris_dataset, x='species', y='sepal_width')\n\n- | \u30a6\u30a3\u30f3\u30c9\u30a6\u304c\u8d77\u52d5\u3057\u307e\u3059\n | |image6|\n\n- \u64cd\u4f5c\u65b9\u6cd5\u306f\u5bfe\u6563\u5e03\u56f3\u3068\u540c\u69d8\u3067\u3059\n\n.. |image0| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_01.png\n.. |image1| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_02.png\n.. |image2| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_03.png\n.. |image3| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_04.png\n.. |image4| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_05.png\n.. |image5| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_06.png\n.. |image6| image:: https://gitlab.com/kegeppa/public/raw/master/SearchFromPlot/.sample_images/image_07.png\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://gitlab.com/kegeppa", "keywords": "", "license": "MIT", "maintainer": "kegeppa", "maintainer_email": "", "name": "sfplot", "package_url": "https://pypi.org/project/sfplot/", "platform": "", "project_url": "https://pypi.org/project/sfplot/", "project_urls": { "Homepage": "https://gitlab.com/kegeppa" }, "release_url": "https://pypi.org/project/sfplot/0.0.1/", "requires_dist": [ "numpy", "pandas", "matplotlib" ], "requires_python": "", "summary": "Search records of pandas dataframe from plot.", "version": "0.0.1" }, "last_serial": 5611087, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "52438e05bd8d48ec93cc71d55c822c54", "sha256": "95a7cf8e4e986ca8a3995154357bdf2a55e2705e9ca0e079c501ec74449a2af8" }, "downloads": -1, "filename": "sfplot-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "52438e05bd8d48ec93cc71d55c822c54", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 8966, "upload_time": "2019-07-31T03:27:44", "url": "https://files.pythonhosted.org/packages/73/f0/eeeea9bebc881b5b199d75e5e6caff86529be469cb555295948fd3e3381d/sfplot-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "2cef40dc7b097bebd29345228627270d", "sha256": "53619bf2a11ea947c33414bc4fce1f7284fbbe6348a58987295693455ddecf2a" }, "downloads": -1, "filename": "sfplot-0.0.1.tar.gz", "has_sig": false, "md5_digest": "2cef40dc7b097bebd29345228627270d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7874, "upload_time": "2019-07-31T03:27:46", "url": "https://files.pythonhosted.org/packages/21/d9/7cbe63535cb7a93c87d59a2fbb471654406a5bf248b99aee31f26afe45ac/sfplot-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "52438e05bd8d48ec93cc71d55c822c54", "sha256": "95a7cf8e4e986ca8a3995154357bdf2a55e2705e9ca0e079c501ec74449a2af8" }, "downloads": -1, "filename": "sfplot-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "52438e05bd8d48ec93cc71d55c822c54", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 8966, "upload_time": "2019-07-31T03:27:44", "url": "https://files.pythonhosted.org/packages/73/f0/eeeea9bebc881b5b199d75e5e6caff86529be469cb555295948fd3e3381d/sfplot-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "2cef40dc7b097bebd29345228627270d", "sha256": "53619bf2a11ea947c33414bc4fce1f7284fbbe6348a58987295693455ddecf2a" }, "downloads": -1, "filename": "sfplot-0.0.1.tar.gz", "has_sig": false, "md5_digest": "2cef40dc7b097bebd29345228627270d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7874, "upload_time": "2019-07-31T03:27:46", "url": "https://files.pythonhosted.org/packages/21/d9/7cbe63535cb7a93c87d59a2fbb471654406a5bf248b99aee31f26afe45ac/sfplot-0.0.1.tar.gz" } ] }