{
    "info": {
        "author": "Christopher Shymansky",
        "author_email": "CMShymansky@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: Apache Software License",
            "Topic :: Utilities"
        ],
        "description": "<img src=\"https://github.com/JaggedParadigm/pairplotr/blob/master/pairplot_demo.png\" width=\"500\" />\n\n# How\n## Installation\nUse:\n\npip install pairplotr\n\n## Use\nSee the [demo](https://nbviewer.jupyter.org/github/JaggedParadigm/pairplotr/blob/master/pairplotr_demo.ipynb) for use of pairplotr.\n\n# What\nPairplotr is a Python library used to graph combinations of numerical and categorical data in a pair plot,\nsimilar to Seaborn's pairplot(), given a cleaned Pandas dataframe with a mixture of categorical and numerical\nvalues.\n\nHere are the formats for Row feature|Column feature combinations in either on- or off-diagonal cells: \n\n- On-diagonal:        \n  - Categorical|Categorical:\n    - Value counts of feature values ordered by ascending value count and colored by feature values\n  - Numerical|Numerical:\n    - Histogram of feature w/ no coloring (or by desired label)\n- Off-diagonal:\n  - Categorical|Categorical:\n    - Stacked value count of row feature values colored by column feature values\n  - Categorical|Numerical:\n    - Histograms of column feature for each row feature value colored by row feature value\n  - Numerical|Numerical:\n    - Scatter plot of row feature values vs column feature values w/ no coloring (or by desired label)\n\n# Why\nThe available tools I've found don't seem to be able to combine numerical and categorical feature data\nin a quick and easy way and I wanted to customize the comparisons as the plot types I find most useful.\n\n",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://packages.python.org/pairplotr",
        "keywords": "scikit-learn pandas data visualization pairplot",
        "license": "OSI Approved :: Apache Software License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "pairplotr",
        "package_url": "https://pypi.org/project/pairplotr/",
        "platform": "",
        "project_url": "https://pypi.org/project/pairplotr/",
        "project_urls": {
            "Homepage": "http://packages.python.org/pairplotr"
        },
        "release_url": "https://pypi.org/project/pairplotr/1.3/",
        "requires_dist": [
            "matplotlib",
            "numpy",
            "pandas",
            "seaborn"
        ],
        "requires_python": "",
        "summary": "Pairplotr is a Python library used to graph combinations of numerical and categorical data in a pair plot",
        "version": "1.3"
    },
    "last_serial": 3525095,
    "releases": {
        "1.2.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "18462c0d438d133a1ce4d8ca754ad035",
                    "sha256": "3933d4ac8d6b8cf678f5859038d07f02f0b3794de9af653093a9bbb45157dad6"
                },
                "downloads": -1,
                "filename": "pairplotr-1.2.3-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "18462c0d438d133a1ce4d8ca754ad035",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 11773,
                "upload_time": "2017-07-13T03:29:36",
                "url": "https://files.pythonhosted.org/packages/f2/23/38a8ecc7723e63aea879fb73a03aa3484db07b357c0c68c0e9f786b7b904/pairplotr-1.2.3-py2-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "ec5e05e81f50c340a1b400785aa4eb07",
                    "sha256": "fe98cfd0d6a808b081668a2ffddf87a6c6b457d02f395b45e6f5a88f205fa652"
                },
                "downloads": -1,
                "filename": "pairplotr-1.2.3.tar.gz",
                "has_sig": false,
                "md5_digest": "ec5e05e81f50c340a1b400785aa4eb07",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 9705,
                "upload_time": "2017-07-13T03:29:41",
                "url": "https://files.pythonhosted.org/packages/2b/5f/44ef9c4689a24b825ec9349c977dec6d3a003ba766ef99cd96d25b332143/pairplotr-1.2.3.tar.gz"
            }
        ],
        "1.2.3.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "595f6254952e5ef0b6e60608e8c9bbe1",
                    "sha256": "dea1a98786ab9155222f2d8e128dc5fe2c3f75820abc34988536cb6465d83c86"
                },
                "downloads": -1,
                "filename": "pairplotr-1.2.3.1-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "595f6254952e5ef0b6e60608e8c9bbe1",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 11791,
                "upload_time": "2017-07-13T03:29:38",
                "url": "https://files.pythonhosted.org/packages/6b/95/d4b49bd547f34e50cec22969a70a6800e1c62382e398a5c7cd557138e408/pairplotr-1.2.3.1-py2-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "fad5f01f25eb0cfca967532275ddde51",
                    "sha256": "769c060b42704efb6484fd407191a9280598356ef5b519a1cdced0454531acd2"
                },
                "downloads": -1,
                "filename": "pairplotr-1.2.3.1.tar.gz",
                "has_sig": false,
                "md5_digest": "fad5f01f25eb0cfca967532275ddde51",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 9720,
                "upload_time": "2017-07-13T03:29:39",
                "url": "https://files.pythonhosted.org/packages/78/aa/689e90da00c72f1cd090138f9f10028e38a86ac8828ac5c6e872186ff588/pairplotr-1.2.3.1.tar.gz"
            }
        ],
        "1.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "be9e12ad5795d3617316f7e217ad3d78",
                    "sha256": "6cb89c310b3910a194372bb9feda438c1e31c05e6870cfa08c2790e72c7ce212"
                },
                "downloads": -1,
                "filename": "pairplotr-1.3-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "be9e12ad5795d3617316f7e217ad3d78",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 25132,
                "upload_time": "2018-01-26T19:40:27",
                "url": "https://files.pythonhosted.org/packages/2c/8c/2174336471de8c946afa29c89e3973123015bae3f79326b3017867b1e406/pairplotr-1.3-py2-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "be9e12ad5795d3617316f7e217ad3d78",
                "sha256": "6cb89c310b3910a194372bb9feda438c1e31c05e6870cfa08c2790e72c7ce212"
            },
            "downloads": -1,
            "filename": "pairplotr-1.3-py2-none-any.whl",
            "has_sig": false,
            "md5_digest": "be9e12ad5795d3617316f7e217ad3d78",
            "packagetype": "bdist_wheel",
            "python_version": "py2",
            "requires_python": null,
            "size": 25132,
            "upload_time": "2018-01-26T19:40:27",
            "url": "https://files.pythonhosted.org/packages/2c/8c/2174336471de8c946afa29c89e3973123015bae3f79326b3017867b1e406/pairplotr-1.3-py2-none-any.whl"
        }
    ]
}