pylabianca


Namepylabianca JSON
Version 0.1 PyPI version JSON
download
home_page
SummaryPackage for analysis of single-neuron spike data.
upload_time2023-10-31 09:43:18
maintainer
docs_urlNone
author
requires_python>=3.8
licenseBSD-3-Clause
keywords neuroscience brain
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # pylabianca
Python tools for spike and LFP analysis.

## installation
Currently - just install directly from github (you will need git for that, and of course do it from your terminal/console):
```
pip install git+https://github.com/labianca/pylabianca
```

## docs
Online docs are currently under construction.  

You can get the example human data [here](https://www.dropbox.com/scl/fo/wevgovmxv8qrl52w12b6z/h?rlkey=1je64v2h1h6zyqhzmhiykpqqu&dl=0).

Below you can find jupyter notebook examples showcasing `pylabianca` features.
* [introductory notebook](doc/intro_overview.ipynb) - a general overview using human intracranial spike data (sorted with Osort).  
* [FiedTrip data example notebook](doc/fieldtrip_example.ipynb) - another broad overview using fieldtrip sample spike data from non-human primates.
* [decoding example](doc/decoding_example.ipynb) - overview of decoding with pylabianca

To better understand the data formats read natively by pylabianca (and how to read other formats) see [data formats page](doc/data_formats.md).

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "pylabianca",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "Miko\u0142aj Magnuski <mmagnuski@swps.edu.pl>",
    "keywords": "neuroscience,brain",
    "author": "",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/b2/0c/424ebfc31700f4939312570a9ae7f99bbb68306e5bb6a252d145d8b20917/pylabianca-0.1.tar.gz",
    "platform": null,
    "description": "# pylabianca\r\nPython tools for spike and LFP analysis.\r\n\r\n## installation\r\nCurrently - just install directly from github (you will need git for that, and of course do it from your terminal/console):\r\n```\r\npip install git+https://github.com/labianca/pylabianca\r\n```\r\n\r\n## docs\r\nOnline docs are currently under construction.  \r\n\r\nYou can get the example human data [here](https://www.dropbox.com/scl/fo/wevgovmxv8qrl52w12b6z/h?rlkey=1je64v2h1h6zyqhzmhiykpqqu&dl=0).\r\n\r\nBelow you can find jupyter notebook examples showcasing `pylabianca` features.\r\n* [introductory notebook](doc/intro_overview.ipynb) - a general overview using human intracranial spike data (sorted with Osort).  \r\n* [FiedTrip data example notebook](doc/fieldtrip_example.ipynb) - another broad overview using fieldtrip sample spike data from non-human primates.\r\n* [decoding example](doc/decoding_example.ipynb) - overview of decoding with pylabianca\r\n\r\nTo better understand the data formats read natively by pylabianca (and how to read other formats) see [data formats page](doc/data_formats.md).\r\n",
    "bugtrack_url": null,
    "license": "BSD-3-Clause",
    "summary": "Package for analysis of single-neuron spike data.",
    "version": "0.1",
    "project_urls": {
        "Homepage": "https://github.com/labianca/pylabianca"
    },
    "split_keywords": [
        "neuroscience",
        "brain"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b9cceff24e5616db476cafaca725d26fd932bb4b904438fe3eb220ac46e69462",
                "md5": "a9d4ec08c261c5d915e80b9971282fdc",
                "sha256": "4d0a4a90ecbf4866852a80a23a089e46066ee3c142169540c8241563f2905151"
            },
            "downloads": -1,
            "filename": "pylabianca-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "a9d4ec08c261c5d915e80b9971282fdc",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 92848,
            "upload_time": "2023-10-31T09:43:16",
            "upload_time_iso_8601": "2023-10-31T09:43:16.149905Z",
            "url": "https://files.pythonhosted.org/packages/b9/cc/eff24e5616db476cafaca725d26fd932bb4b904438fe3eb220ac46e69462/pylabianca-0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b20c424ebfc31700f4939312570a9ae7f99bbb68306e5bb6a252d145d8b20917",
                "md5": "e942e3d9e31813d8f714f7cf01ab7357",
                "sha256": "b7fc4c4f5dbefcda06723e8737a65ae6a90d276aee2428531faad5fa0b393e5d"
            },
            "downloads": -1,
            "filename": "pylabianca-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "e942e3d9e31813d8f714f7cf01ab7357",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 81100,
            "upload_time": "2023-10-31T09:43:18",
            "upload_time_iso_8601": "2023-10-31T09:43:18.180948Z",
            "url": "https://files.pythonhosted.org/packages/b2/0c/424ebfc31700f4939312570a9ae7f99bbb68306e5bb6a252d145d8b20917/pylabianca-0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-10-31 09:43:18",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "labianca",
    "github_project": "pylabianca",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "pylabianca"
}
        
Elapsed time: 2.33793s