mastersign-datascience


Namemastersign-datascience JSON
Version 0.2.9 PyPI version JSON
download
home_pagehttps://github.com/mastersign/mastersign-datascience.git
SummaryHigh level helpers for data science in Python with Pandas.
upload_time2024-04-12 14:19:25
maintainerTobias Kiertscher
docs_urlNone
authorTobias Kiertscher
requires_pythonNone
licenseBSD-3
keywords lib datascience
VCS
bugtrack_url
requirements numpy scipy Pandas SQLAlchemy tabulate matplotlib beautifulsoup4 click fastparquet
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
#######################
Mastersign Data Science
#######################

    High level helpers for data science in Python with Pandas.

************
Installation
************

::

	pip install mastersign-datascience

or

::

	python ./setup.py install


-----------------------------
Plotting on Cartographic Maps
-----------------------------

You can use the library without further manual steps;
but if you want to use plotting functions which draw on a cartographic maps,
like ``scatter_map()``, you must install *Basemap* yourself.
PyPI does not host a version of *Basemap* which can easily be used as a dependency.
Therefore *Basemap* is not listed as a dependency in this library.

On Windows, you may install the Wheel
from https://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap .
Download the e.g. ``basemap‑1.2.0‑cp36‑cp36m‑win_amd64.whl`` and then install it
with ``pip``:

::

	pip install .\basemap‑1.2.0‑cp36‑cp36m‑win_amd64.whl

On Linux you may install *Basemap* with your distributions package manager.
E.g. on Ubuntu you can use ``apt``:

::

	sudo apt install python3-mpltoolkits.basemap


*************
Documentation
*************

https://mastersign.github.io/mastersign-datascience

*************
Demonstration
*************

Take a look at the Jupyter Notebooks ``demo-*.ipynb`` for demonstration.


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/mastersign/mastersign-datascience.git",
    "name": "mastersign-datascience",
    "maintainer": "Tobias Kiertscher",
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": "dev@mastersign.de",
    "keywords": "lib datascience",
    "author": "Tobias Kiertscher",
    "author_email": "dev@mastersign.de",
    "download_url": "https://files.pythonhosted.org/packages/5c/df/e33c34d42bc540f9eacf54cdda9fd7a5413cf34c84410baeac0eddb5a1a8/mastersign-datascience-0.2.9.tar.gz",
    "platform": null,
    "description": "\r\n#######################\r\nMastersign Data Science\r\n#######################\r\n\r\n    High level helpers for data science in Python with Pandas.\r\n\r\n************\r\nInstallation\r\n************\r\n\r\n::\r\n\r\n\tpip install mastersign-datascience\r\n\r\nor\r\n\r\n::\r\n\r\n\tpython ./setup.py install\r\n\r\n\r\n-----------------------------\r\nPlotting on Cartographic Maps\r\n-----------------------------\r\n\r\nYou can use the library without further manual steps;\r\nbut if you want to use plotting functions which draw on a cartographic maps,\r\nlike ``scatter_map()``, you must install *Basemap* yourself.\r\nPyPI does not host a version of *Basemap* which can easily be used as a dependency.\r\nTherefore *Basemap* is not listed as a dependency in this library.\r\n\r\nOn Windows, you may install the Wheel\r\nfrom https://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap .\r\nDownload the e.g. ``basemap\u00e2\u20ac\u20181.2.0\u00e2\u20ac\u2018cp36\u00e2\u20ac\u2018cp36m\u00e2\u20ac\u2018win_amd64.whl`` and then install it\r\nwith ``pip``:\r\n\r\n::\r\n\r\n\tpip install .\\basemap\u00e2\u20ac\u20181.2.0\u00e2\u20ac\u2018cp36\u00e2\u20ac\u2018cp36m\u00e2\u20ac\u2018win_amd64.whl\r\n\r\nOn Linux you may install *Basemap* with your distributions package manager.\r\nE.g. on Ubuntu you can use ``apt``:\r\n\r\n::\r\n\r\n\tsudo apt install python3-mpltoolkits.basemap\r\n\r\n\r\n*************\r\nDocumentation\r\n*************\r\n\r\nhttps://mastersign.github.io/mastersign-datascience\r\n\r\n*************\r\nDemonstration\r\n*************\r\n\r\nTake a look at the Jupyter Notebooks ``demo-*.ipynb`` for demonstration.\r\n\r\n",
    "bugtrack_url": null,
    "license": "BSD-3",
    "summary": "High level helpers for data science in Python with Pandas.",
    "version": "0.2.9",
    "project_urls": {
        "Homepage": "https://github.com/mastersign/mastersign-datascience.git"
    },
    "split_keywords": [
        "lib",
        "datascience"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "740e6103920ed2051338c4d08f49ac976381754873a35dcbe07f7abfedd41188",
                "md5": "01cc6569dfa0f25513fc22d90e3efa35",
                "sha256": "74962a0ef6929ceb4ab02931bb98c88b9e35cee4818a0a038c39b713517ae7ae"
            },
            "downloads": -1,
            "filename": "mastersign_datascience-0.2.9-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "01cc6569dfa0f25513fc22d90e3efa35",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 24172,
            "upload_time": "2024-04-12T14:18:20",
            "upload_time_iso_8601": "2024-04-12T14:18:20.729223Z",
            "url": "https://files.pythonhosted.org/packages/74/0e/6103920ed2051338c4d08f49ac976381754873a35dcbe07f7abfedd41188/mastersign_datascience-0.2.9-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "5cdfe33c34d42bc540f9eacf54cdda9fd7a5413cf34c84410baeac0eddb5a1a8",
                "md5": "8c6a6ac6617a359d8ae74ca4b27b398c",
                "sha256": "8f9db19886cd3212963c1f5279b8ff88b882bbfac23196670efa5e7a5c15243f"
            },
            "downloads": -1,
            "filename": "mastersign-datascience-0.2.9.tar.gz",
            "has_sig": false,
            "md5_digest": "8c6a6ac6617a359d8ae74ca4b27b398c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 22716,
            "upload_time": "2024-04-12T14:19:25",
            "upload_time_iso_8601": "2024-04-12T14:19:25.343029Z",
            "url": "https://files.pythonhosted.org/packages/5c/df/e33c34d42bc540f9eacf54cdda9fd7a5413cf34c84410baeac0eddb5a1a8/mastersign-datascience-0.2.9.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-12 14:19:25",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "mastersign",
    "github_project": "mastersign-datascience",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "numpy",
            "specs": []
        },
        {
            "name": "scipy",
            "specs": []
        },
        {
            "name": "Pandas",
            "specs": [
                [
                    ">=",
                    "0.23"
                ]
            ]
        },
        {
            "name": "SQLAlchemy",
            "specs": [
                [
                    ">=",
                    "1.0"
                ]
            ]
        },
        {
            "name": "tabulate",
            "specs": []
        },
        {
            "name": "matplotlib",
            "specs": []
        },
        {
            "name": "beautifulsoup4",
            "specs": []
        },
        {
            "name": "click",
            "specs": [
                [
                    ">=",
                    "7.0"
                ]
            ]
        },
        {
            "name": "fastparquet",
            "specs": [
                [
                    ">=",
                    "0.3"
                ]
            ]
        }
    ],
    "lcname": "mastersign-datascience"
}
        
Elapsed time: 0.22527s