Bidirectional Reach (BReach)
This Python Package provides an implementation of the methodology presented in Identification of temporal consistency in rating curve data: Bidirectional Reach (BReach). BReach identifies the consistency of rating curve data based on a quality analysis of model results. Results of this analysis enable the detection of changes in data consistency.
Free software: MIT license
Documentation: https://pybreach.readthedocs.io.
Features
The current scope of the package is to ensure that based on a 2-D matrix of performance measures (calculated for each data point and a given number of parameter sets), the package calculates both reaches and provides the visualisation(s) to interpret the data.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2017-04-19)
First release on PyPI.
Metadata
Release files for pybreach 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pybreach-0.3.0.tar.gz | 19.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pybreach-0.3.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 28.9 kB
Release files / pybreach-0.3.0.tar.gz
| Download URL | pybreach-0.3.0.tar.gz |
|---|---|
| Size | 19.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
Release files / pybreach-0.3.0-py2.py3-none-any.whl
| Download URL | pybreach-0.3.0-py2.py3-none-any.whl |
|---|---|
| Size | 9.3 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pybreach 0.3.0
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