Metadata-Version: 2.4
Name: envass
Version: 1.0.2
Summary: ENVASS ENVironmental data quality ASSurance.
Home-page: https://github.com/eawag-surface-waters-research/envass
Author: James Runnalls
Author-email: <james.runnalls@eawag.ch>
License: MIT
Keywords: python,ENVASS,quality assurance,environmental data
Description-Content-Type: text/markdown
Requires-Dist: ipywidgets>=7.6.5
Requires-Dist: numpy>=1.19.5
Requires-Dist: pandas>=1.1.5
Requires-Dist: plotly>=5.6.0
Requires-Dist: scikit-learn>=0.24.2
Requires-Dist: scipy>=1.5.4
Dynamic: author
Dynamic: author-email
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

# 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)))
qa = qualityassurance(variable, time, numeric=True, bounds=[5, 21])
```
