PVAnalytics is a collection of functions for working with data from photovoltaic power systems. The library includes functions for general data quality tests such as outlier detection, validation that data is physically plausible, filtering data for specific conditions, and labeling specific features in the data.
Documentation: https://pvanalytics.readthedocs.io
Source code: https://github.com/pvlib/pvanalytics
Metadata
Release files for pvanalytics 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pvanalytics-0.2.2.tar.gz | 2.5 MB | Without provenance | Details for pvanalytics-0.2.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pvanalytics-0.2.2-py3-none-any.whl | Python 3 | none | any | Details for pvanalytics-0.2.2-py3-none-any.whl |
Total release size: 4.9 MB
Release files / pvanalytics-0.2.2.tar.gz
| Download URL | pvanalytics-0.2.2.tar.gz |
|---|---|
| Size | 2.5 MB |
| Tags | Source |
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twine/5.1.1 CPython/3.12.7
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Release files / pvanalytics-0.2.2-py3-none-any.whl
| Download URL | pvanalytics-0.2.2-py3-none-any.whl |
|---|---|
| Size | 2.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.12.7
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