pyplotsixel


Namepyplotsixel JSON
Version 0.2.1 PyPI version JSON
download
home_pagehttps://github.com/nakagami/pyplotsixel
SummaryMatplotlib sixel backend
upload_time2024-10-10 23:48:10
maintainerNone
docs_urlNone
authorHajime Nakagami
requires_pythonNone
licenseBSD
keywords matplotlib sixel
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ==================
pyplotsixel
==================

Matplotlib sixel backend.

It can draw matplotlib figures in SIXEL available terminal.


Example
-----------------

::

   import matplotlib
   import matplotlib.pyplot as plt
   import numpy as np

   matplotlib.use('module://pyplotsixel')


   x = np.linspace(0, 1)
   y = x**2
   plt.plot(x, y)
   plt.show()


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/nakagami/pyplotsixel",
    "name": "pyplotsixel",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "matplotlib, sixel",
    "author": "Hajime Nakagami",
    "author_email": "nakagami@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/30/21/49d1f4767c4bffa73b13bd75e06ad0639c31e63c935b6c8a2292811aee2e/pyplotsixel-0.2.1.tar.gz",
    "platform": null,
    "description": "==================\npyplotsixel\n==================\n\nMatplotlib sixel backend.\n\nIt can draw matplotlib figures in SIXEL available terminal.\n\n\nExample\n-----------------\n\n::\n\n   import matplotlib\n   import matplotlib.pyplot as plt\n   import numpy as np\n\n   matplotlib.use('module://pyplotsixel')\n\n\n   x = np.linspace(0, 1)\n   y = x**2\n   plt.plot(x, y)\n   plt.show()\n\n",
    "bugtrack_url": null,
    "license": "BSD",
    "summary": "Matplotlib sixel backend",
    "version": "0.2.1",
    "project_urls": {
        "Homepage": "https://github.com/nakagami/pyplotsixel"
    },
    "split_keywords": [
        "matplotlib",
        " sixel"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "302149d1f4767c4bffa73b13bd75e06ad0639c31e63c935b6c8a2292811aee2e",
                "md5": "6240e481beff3ef45a98d89c14ebd45f",
                "sha256": "df6e26b24328a7bfa9bee3ca0041783f1a254c8c0a3fc79a50335b8b96db35ef"
            },
            "downloads": -1,
            "filename": "pyplotsixel-0.2.1.tar.gz",
            "has_sig": false,
            "md5_digest": "6240e481beff3ef45a98d89c14ebd45f",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2956,
            "upload_time": "2024-10-10T23:48:10",
            "upload_time_iso_8601": "2024-10-10T23:48:10.502349Z",
            "url": "https://files.pythonhosted.org/packages/30/21/49d1f4767c4bffa73b13bd75e06ad0639c31e63c935b6c8a2292811aee2e/pyplotsixel-0.2.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-10 23:48:10",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "nakagami",
    "github_project": "pyplotsixel",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "pyplotsixel"
}
        
Elapsed time: 0.62370s