pypqd
Power quality disturbances dataset generator.
Installation
$ pip install pypqd
Usage
The pypqd package can be used to generate synthetic datasets of power quality disturbances, including: sag, swell, interruption, voltage fluctuation, notches, impulsive transients, oscillatory transients and harmonics.
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
pypqd was created by Rafael Angel Montoya Gutierrez. It is licensed under the terms of the GNU General Public License v3.0 license.
Credits
pypqd was created with cookiecutter and the py-pkgs-cookiecutter template.
1 maintainer
Release files for pypqd 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pypqd-0.1.2.tar.gz | 17.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pypqd-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.9 kB
Release files / pypqd-0.1.2.tar.gz
| Download URL | pypqd-0.1.2.tar.gz |
|---|---|
| Size | 17.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.8.1 CPython/3.12.2 Windows/10
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Release files / pypqd-0.1.2-py3-none-any.whl
| Download URL | pypqd-0.1.2-py3-none-any.whl |
|---|---|
| Size | 18.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.1 CPython/3.12.2 Windows/10
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