envass

Name	envass JSON
Version	0.1.0 JSON
	download
home_page	https://github.com/eawag-surface-waters-research/envass
Summary	ENVASS ENVironmental data quality ASSurance.
upload_time	2022-11-30 09:40:42
maintainer
docs_url	None
author	James Runnalls
requires_python
license	MIT
keywords	python envass quality assurance environmental data
VCS
bugtrack_url
requirements	ipywidgets numpy pandas plotly scikit-learn scipy
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # ENVironmental data quality ASSurance

ENVironmental data quality ASSurance for generating high quality data products.

## Installation

`pip install envass`

## Usage

```python

import numpy as np
from envass import qualityassurance

variable = np.array([1, "g", 16, 12.0, False, 0, 22.12, 5.77])
time = np.array(range(len(variable)))
checks={"numeric":{}, "IQR":{"factor":4}, "IQR_window":{}}

qa = qualityassurance(variable, time, **checks)
```



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/eawag-surface-waters-research/envass",
    "name": "envass",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,ENVASS,quality assurance,environmental data",
    "author": "James Runnalls",
    "author_email": "<james.runnalls@eawag.ch>",
    "download_url": "https://files.pythonhosted.org/packages/d5/de/9beab193cfba6dc34840a25ddc692ac515f9a964eda11f704c712fb57a70/envass-0.1.0.tar.gz",
    "platform": null,
    "description": "# ENVironmental data quality ASSurance\n\nENVironmental data quality ASSurance for generating high quality data products.\n\n## Installation\n\n`pip install envass`\n\n## Usage\n\n```python\n\nimport numpy as np\nfrom envass import qualityassurance\n\nvariable = np.array([1, \"g\", 16, 12.0, False, 0, 22.12, 5.77])\ntime = np.array(range(len(variable)))\nchecks={\"numeric\":{}, \"IQR\":{\"factor\":4}, \"IQR_window\":{}}\n\nqa = qualityassurance(variable, time, **checks)\n```\n\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "ENVASS ENVironmental data quality ASSurance.",
    "version": "0.1.0",
    "split_keywords": [
        "python",
        "envass",
        "quality assurance",
        "environmental data"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "2be1720cd670c5c3600d6751c1ca97e6",
                "sha256": "981713c0f193337b153d4203b3d84374aa357afebc96610bc9d40274b9b36e34"
            },
            "downloads": -1,
            "filename": "envass-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2be1720cd670c5c3600d6751c1ca97e6",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 6816,
            "upload_time": "2022-11-30T09:40:32",
            "upload_time_iso_8601": "2022-11-30T09:40:32.830940Z",
            "url": "https://files.pythonhosted.org/packages/cd/cb/7f98a7f661a303730b6667381af75841997aef027309d687d2852bdbeb8b/envass-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "ae22c51eecf1d78b81584ad782bd982e",
                "sha256": "a0c3d6643b2a104f3f32d18ac93a93f4ba564c5e1c76b09019c87af137ac004b"
            },
            "downloads": -1,
            "filename": "envass-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "ae22c51eecf1d78b81584ad782bd982e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 5776,
            "upload_time": "2022-11-30T09:40:42",
            "upload_time_iso_8601": "2022-11-30T09:40:42.825558Z",
            "url": "https://files.pythonhosted.org/packages/d5/de/9beab193cfba6dc34840a25ddc692ac515f9a964eda11f704c712fb57a70/envass-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-11-30 09:40:42",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "eawag-surface-waters-research",
    "github_project": "envass",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "ipywidgets",
            "specs": [
                [
                    ">=",
                    "7.6.5"
                ]
            ]
        },
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.19.5"
                ]
            ]
        },
        {
            "name": "pandas",
            "specs": [
                [
                    ">=",
                    "1.1.5"
                ]
            ]
        },
        {
            "name": "plotly",
            "specs": [
                [
                    ">=",
                    "5.6.0"
                ]
            ]
        },
        {
            "name": "scikit-learn",
            "specs": [
                [
                    ">=",
                    "0.24.2"
                ]
            ]
        },
        {
            "name": "scipy",
            "specs": [
                [
                    ">=",
                    "1.5.4"
                ]
            ]
        }
    ],
    "lcname": "envass"
}