ENVironmental data quality ASSurance
ENVironmental data quality ASSurance for generating high quality data products.
Installation
pip install envass
Usage
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])
1 maintainer
Release files for envass 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| envass-1.0.2.tar.gz | 6.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| envass-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:14.4 kB
Release files / envass-1.0.2.tar.gz
| Download URL | envass-1.0.2.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
87af8b8509a8ea0a71b0e1c58058ee141db6c3579c315ffbdc3fa4cce5462cdd
|
|
BLAKE2b-256 checksum How to use checksums |
4af6d86d830431c539d042d7f11480e68be8c2f77c82b1d709e1723e2e982988
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Release files / envass-1.0.2-py3-none-any.whl
| Download URL | envass-1.0.2-py3-none-any.whl |
|---|---|
| Size | 7.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8ea041ca7de60246a9e3f422031e433daeb012dae3cc3b461d807ddd926cc3a9
|
|
BLAKE2b-256 checksum How to use checksums |
9991f766c8f72bd863271c7e8539effc9ea0e1714661bdd2d298c76953f1bf01
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
