pandastable


Namepandastable JSON
Version 0.13.1 PyPI version JSON
download
home_pagehttps://github.com/dmnfarrell/pandastable
SummaryLibrary for embedding tables in Tkinter using pandas DataFrames
upload_time2023-03-27 16:35:38
maintainer
docs_urlNone
authorDamien Farrell
requires_python
licenseGPL v3
keywords tkinter ttk spreadsheet table pandas data analysis
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            Introduction
------------

The pandastable library provides a table widget for Tkinter with
plotting and data manipulation functionality. It uses the pandas
DataFrame class to store table data. Pandas is an open source Python
library providing high-performance data structures and data analysis
tools. Tkinter is the standard GUI toolkit for python. It is intended
for the following uses:

-  for python/tkinter GUI developers who want to include a table in
   their application that can store and process large amounts of data
-  for non-programmers who are not familiar with Python or the pandas
   API and want to use the included DataExplore application to
   manipulate/view their data
-  it may also be useful for data analysts and programmers who want to
   get an initial interactive look at their tabular data without coding

The DataExplore application
---------------------------

Installing the package creates a command *dataexplore* in your path.
Just run this to open the program. This is a standalone application for
data manipulation and plotting meant for education and basic data
analysis. See the home page for this application at
http://dmnfarrell.github.io/pandastable/

Links
-----

http://openresearchsoftware.metajnl.com/articles/10.5334/jors.94/

http://dmnfarrell.github.io/pandastable/

https://youtu.be/Ss0QIFywt74




            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/dmnfarrell/pandastable",
    "name": "pandastable",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "tkinter,ttk,spreadsheet,table,pandas,data analysis",
    "author": "Damien Farrell",
    "author_email": "farrell.damien@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/22/5a/3e4057c43953c8e126a1179494c9cc0f302a5ecedb865e70b9338bc7e240/pandastable-0.13.1.tar.gz",
    "platform": null,
    "description": "Introduction\n------------\n\nThe pandastable library provides a table widget for Tkinter with\nplotting and data manipulation functionality. It uses the pandas\nDataFrame class to store table data. Pandas is an open source Python\nlibrary providing high-performance data structures and data analysis\ntools. Tkinter is the standard GUI toolkit for python. It is intended\nfor the following uses:\n\n-  for python/tkinter GUI developers who want to include a table in\n   their application that can store and process large amounts of data\n-  for non-programmers who are not familiar with Python or the pandas\n   API and want to use the included DataExplore application to\n   manipulate/view their data\n-  it may also be useful for data analysts and programmers who want to\n   get an initial interactive look at their tabular data without coding\n\nThe DataExplore application\n---------------------------\n\nInstalling the package creates a command *dataexplore* in your path.\nJust run this to open the program. This is a standalone application for\ndata manipulation and plotting meant for education and basic data\nanalysis. See the home page for this application at\nhttp://dmnfarrell.github.io/pandastable/\n\nLinks\n-----\n\nhttp://openresearchsoftware.metajnl.com/articles/10.5334/jors.94/\n\nhttp://dmnfarrell.github.io/pandastable/\n\nhttps://youtu.be/Ss0QIFywt74\n\n\n\n",
    "bugtrack_url": null,
    "license": "GPL v3",
    "summary": "Library for embedding tables in Tkinter using pandas DataFrames",
    "version": "0.13.1",
    "split_keywords": [
        "tkinter",
        "ttk",
        "spreadsheet",
        "table",
        "pandas",
        "data analysis"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "225a3e4057c43953c8e126a1179494c9cc0f302a5ecedb865e70b9338bc7e240",
                "md5": "6ace72d185bcb233bc18efc41edf18ef",
                "sha256": "c1a60b8738d1c181a9695b9e2d1299a303052dc0a8b7d1dbfb1b8e5840ecadcf"
            },
            "downloads": -1,
            "filename": "pandastable-0.13.1.tar.gz",
            "has_sig": false,
            "md5_digest": "6ace72d185bcb233bc18efc41edf18ef",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 241527,
            "upload_time": "2023-03-27T16:35:38",
            "upload_time_iso_8601": "2023-03-27T16:35:38.783245Z",
            "url": "https://files.pythonhosted.org/packages/22/5a/3e4057c43953c8e126a1179494c9cc0f302a5ecedb865e70b9338bc7e240/pandastable-0.13.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-03-27 16:35:38",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "dmnfarrell",
    "github_project": "pandastable",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "lcname": "pandastable"
}
        
Elapsed time: 0.05377s