md-plot


Namemd-plot JSON
Version 0.2.0 PyPI version JSON
download
home_page
SummaryDraws a mirrored density plot for each input column
upload_time2023-07-01 11:54:30
maintainer
docs_urlNone
authorTinoGehlert
requires_python
licenseGNU General Public License v3 (GPLv3)
keywords data_science violin density_plot
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Mirrored Density Plot
=====================

This function creates a MD-plot for each column of the dataframe. The MD-plot is a visualization
for a boxplot-like Shape of the PDF published in [Thrun/Ultsch, 2019]. It is an improvement of
violin or so-called bean plots and posses advantages in comparison to the conventional well-known
box plot [Thrun/Ultsch, 2019]. This is the Python implementation of the function MD-Plot contained 
in R package [DataVisualizations](https://cran.r-project.org/web/packages/DataVisualizations/index.html)

Basic Usage
^^^^^^^^^^^

from md_plot import MDplot, load_examples

dctExamples = load_examples()

MDplot(dctExamples["BimodalArtificial"])

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "md-plot",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "data_science violin density_plot",
    "author": "TinoGehlert",
    "author_email": "tinogehlert@aol.com",
    "download_url": "https://files.pythonhosted.org/packages/28/b5/70202062b3451d856d948c5a6a69b942bb620b361920d0ff6c1adc8b6897/md_plot-0.2.0.tar.gz",
    "platform": null,
    "description": "Mirrored Density Plot\r\n=====================\r\n\r\nThis function creates a MD-plot for each column of the dataframe. The MD-plot is a visualization\r\nfor a boxplot-like Shape of the PDF published in [Thrun/Ultsch, 2019]. It is an improvement of\r\nviolin or so-called bean plots and posses advantages in comparison to the conventional well-known\r\nbox plot [Thrun/Ultsch, 2019]. This is the Python implementation of the function MD-Plot contained \r\nin R package [DataVisualizations](https://cran.r-project.org/web/packages/DataVisualizations/index.html)\r\n\r\nBasic Usage\r\n^^^^^^^^^^^\r\n\r\nfrom md_plot import MDplot, load_examples\r\n\r\ndctExamples = load_examples()\r\n\r\nMDplot(dctExamples[\"BimodalArtificial\"])\r\n",
    "bugtrack_url": null,
    "license": "GNU General Public License v3 (GPLv3)",
    "summary": "Draws a mirrored density plot for each input column",
    "version": "0.2.0",
    "project_urls": {
        "Docs": "https://md-plot.readthedocs.io",
        "Download": "https://github.com/TinoGehlert/md_plot/archive/v0.2.0.tar.gz",
        "R-Version": "https://cran.r-project.org/web/packages/DataVisualizations/index.html",
        "Source": "https://github.com/TinoGehlert/md_plot"
    },
    "split_keywords": [
        "data_science",
        "violin",
        "density_plot"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "37025332e964459b63aa330fabc8ad10de891c48f994c749183228bb18f55de3",
                "md5": "844cd21f4deb8dcbd3e2aee3ab40065a",
                "sha256": "868d4c7d3ae54d4de3dc83b0f0adf5264f8a7a8513a31fdc36ecab9e31872de1"
            },
            "downloads": -1,
            "filename": "md_plot-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "844cd21f4deb8dcbd3e2aee3ab40065a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 1850480,
            "upload_time": "2023-07-01T11:54:22",
            "upload_time_iso_8601": "2023-07-01T11:54:22.142337Z",
            "url": "https://files.pythonhosted.org/packages/37/02/5332e964459b63aa330fabc8ad10de891c48f994c749183228bb18f55de3/md_plot-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "28b570202062b3451d856d948c5a6a69b942bb620b361920d0ff6c1adc8b6897",
                "md5": "215a9668d2aedb9b45f07012f7be5195",
                "sha256": "c014ec4c6bfe10c39e39641eca1617d557f0d8102195fe99f74a889c1db836d6"
            },
            "downloads": -1,
            "filename": "md_plot-0.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "215a9668d2aedb9b45f07012f7be5195",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3280029,
            "upload_time": "2023-07-01T11:54:30",
            "upload_time_iso_8601": "2023-07-01T11:54:30.369137Z",
            "url": "https://files.pythonhosted.org/packages/28/b5/70202062b3451d856d948c5a6a69b942bb620b361920d0ff6c1adc8b6897/md_plot-0.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-07-01 11:54:30",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "TinoGehlert",
    "github_project": "md_plot",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "md-plot"
}
        
Elapsed time: 0.21680s