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test](https://github.com/pvlib/pvanalytics/workflows/lint%20and%20test/badge.svg)](https://github.com/pvlib/pvanalytics/actions/workflows/lint-and-test.yml)\n[![Coverage Status](https://coveralls.io/repos/github/pvlib/pvanalytics/badge.svg?branch=main)](https://coveralls.io/github/pvlib/pvanalytics?branch=main)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6110569.svg)](https://doi.org/10.5281/zenodo.6110569)\n\n\n# PVAnalytics\n\nPVAnalytics is a python library that supports analytics for PV\nsystems. It provides functions for quality control, filtering, and\nfeature labeling and other tools supporting the analysis of PV\nsystem-level data.\n\nPVAnalytics is available at [PyPI](https://pypi.org/project/pvanalytics/)\nand can be installed using `pip`:\n\n    pip install pvanalytics\n\nDocumentation and example usage is available at \n[pvanalytics.readthedocs.io](https://pvanalytics.readthedocs.io).\n\n## Library Overview\n\nThe functions provided by PVAnalytics are organized in modules based\non their anticipated use.  The structure/organization below is likely\nto change as use cases are identified and refined and as package\ncontent evolves.  The functions in `quality` and\n`features` take a series of data and return a series of booleans.\nFor more detailed descriptions, see our\n[API Reference](https://pvanalytics.readthedocs.io/en/stable/api.html).\n\n* `quality` contains submodules for different kinds of data quality\n  checks.\n  * `data_shifts` contains quality checks for detecting and \n    isolating data shifts in PV time series data.\n  * `irradiance` provides quality checks for irradiance\n    measurements. \n  * `weather` has quality checks for weather data (for example tests\n    for physically plausible values of temperature, wind speed,\n    humidity, etc.)\n  * `outliers` contains different functions for identifying outliers\n    in the data.\n  * `gaps` contains functions for identifying gaps in the data\n    (i.e. missing values, stuck values, and interpolation).\n  * `time` quality checks related to time (e.g. timestamp spacing)\n  * `util` general purpose quality functions.\n\n* `features` contains submodules with different methods for\n  identifying and labeling salient features.\n  * `clipping` functions for labeling inverter clipping.\n  * `clearsky` functions for identifying periods of clear sky\n    conditions.\n  * `daytime` functions for for identifying periods of day and night.\n  * `orientation` functions for labeling data as corresponding to\n    a rotating solar tracker or a fixed tilt structure.\n  * `shading` functions for identifying shadows.\n* `system` identification of PV system characteristics from data\n  (e.g. nameplate power, orientation, azimuth)\n* `metrics` contains functions for computing PV system-level metrics\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpvlib%2Fpvanalytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpvlib%2Fpvanalytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpvlib%2Fpvanalytics/lists"}