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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pvanalytics-0.2.2.tar.gz | 2.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pvanalytics-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
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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SHA-256 checksum How to use checksums |
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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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twine/5.1.1 CPython/3.12.7
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