ancb


Nameancb JSON
Version 0.1.2 PyPI version JSON
download
home_pagehttps://github.com/EmDash00/ANCB
SummaryFast, efficient, and powerful NumPy compatible circular buffers.
upload_time2023-11-09 07:54:55
maintainer
docs_urlNone
authorEmber Chow
requires_python>=3.6,<4.0
licenseApache-2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            # Another NumPy Circular Buffer

[![Build Status](https://travis-ci.com/EmDash00/ANCB.svg?branch=master)](https://travis-ci.com/EmDash00/ANCB)

Another NumPy Circular Buffer (or ANCB for short) is an attempt to make a circular buffer work with NumPy ufuncs for
real-time data processing. One can think of a NumpyCircularbuffer in ANCB as being a fixed length deque with random access
functionality (unlike the deque). For users more familar with NumPy, one can think of this buffer as a way of automatically
rolling the array into the right order.

ANCB was developed by Drason "Emmy" Chow during their time as an undergraduate researcher at IU: Bloomington for use in 
making [Savitzky-Golay filters](https://en.wikipedia.org/wiki/Savitzky%E2%80%93Golay_filter), which take an array of positions in chronological or reverse-chronological order and produce
estimates of velocity, acceleration, and possibly higher order derivatives if desired.

Looking for the documentation? You can find it here:  
https://ancb-docs.readthedocs.io/en/latest/

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/EmDash00/ANCB",
    "name": "ancb",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6,<4.0",
    "maintainer_email": "",
    "keywords": "",
    "author": "Ember Chow",
    "author_email": "emberchow.business@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/b0/b4/bbfa7fd1f69d390c253c095f5e48ad77f4eceb137510d926a51897fe102b/ancb-0.1.2.tar.gz",
    "platform": null,
    "description": "# Another NumPy Circular Buffer\n\n[![Build Status](https://travis-ci.com/EmDash00/ANCB.svg?branch=master)](https://travis-ci.com/EmDash00/ANCB)\n\nAnother NumPy Circular Buffer (or ANCB for short) is an attempt to make a circular buffer work with NumPy ufuncs for\nreal-time data processing. One can think of a NumpyCircularbuffer in ANCB as being a fixed length deque with random access\nfunctionality (unlike the deque). For users more familar with NumPy, one can think of this buffer as a way of automatically\nrolling the array into the right order.\n\nANCB was developed by Drason \"Emmy\" Chow during their time as an undergraduate researcher at IU: Bloomington for use in \nmaking [Savitzky-Golay filters](https://en.wikipedia.org/wiki/Savitzky%E2%80%93Golay_filter), which take an array of positions in chronological or reverse-chronological order and produce\nestimates of velocity, acceleration, and possibly higher order derivatives if desired.\n\nLooking for the documentation? You can find it here:  \nhttps://ancb-docs.readthedocs.io/en/latest/\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "Fast, efficient, and powerful NumPy compatible circular buffers.",
    "version": "0.1.2",
    "project_urls": {
        "Documentation": "https://ancb-docs.readthedocs.io/en/latest/",
        "Homepage": "https://github.com/EmDash00/ANCB",
        "Repository": "https://github.com/EmDash00/ANCB"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "5d18137604ed45efaf3e6bd6b670b22f50906b52bfc9e92bca05a515376a1985",
                "md5": "8ffa10fb1713037ca94ad05b57b6fddb",
                "sha256": "888f637a0d4a38bde589203b5adb95be44dc453b1f4894dbf5cba689674762ca"
            },
            "downloads": -1,
            "filename": "ancb-0.1.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "8ffa10fb1713037ca94ad05b57b6fddb",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6,<4.0",
            "size": 13277,
            "upload_time": "2023-11-09T07:54:53",
            "upload_time_iso_8601": "2023-11-09T07:54:53.852643Z",
            "url": "https://files.pythonhosted.org/packages/5d/18/137604ed45efaf3e6bd6b670b22f50906b52bfc9e92bca05a515376a1985/ancb-0.1.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b0b4bbfa7fd1f69d390c253c095f5e48ad77f4eceb137510d926a51897fe102b",
                "md5": "85198eb0e711e508565dd8e8d8ffad79",
                "sha256": "4d6c5f5118efa856b336d620849ce5bcca50b0604266166b2ff0051c4e44d75a"
            },
            "downloads": -1,
            "filename": "ancb-0.1.2.tar.gz",
            "has_sig": false,
            "md5_digest": "85198eb0e711e508565dd8e8d8ffad79",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6,<4.0",
            "size": 13329,
            "upload_time": "2023-11-09T07:54:55",
            "upload_time_iso_8601": "2023-11-09T07:54:55.423566Z",
            "url": "https://files.pythonhosted.org/packages/b0/b4/bbfa7fd1f69d390c253c095f5e48ad77f4eceb137510d926a51897fe102b/ancb-0.1.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-11-09 07:54:55",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "EmDash00",
    "github_project": "ANCB",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "lcname": "ancb"
}
        
Elapsed time: 0.18592s