Pvops

Latest version: v0.3.0

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0.3.0

Functionality
Updated visualize_attribute_connectivity to use bipartite graph layout (updated function).

IV related dependencies moved to an installation extra (install using `pip install pvops[iv]`).

Removed deprecated normalization parameters in ML pipeline (bug fix).

Updated code to fix deprecation/future warnings.

Testing

Added Python 3.11 to the test environment.

Documentation

Fix small typos in index.rst.

Renamed references to examples as tutorials for consistency.

Updated docs to refer to modules as modules, rather than packages.

Updated RTD config to install doc requirements using the package installation extra

Removed redundant boilerplate in development.rst

Update tested versions in documentation

Added links to tutorials where appropriate in the user guide.

Added a simplified version of the module overview table from the JOSS manuscript to the homepage of the documentation.

Added statement of need to homepage

Fixed image embed in tutorial

Added dates to what's new sections

Expanded patch notes to include recent tags.

Deleted WIP docs pages to remove "not included in any toctree" errors.

Added nbsphinx gallery view to tutorials page.

Added more content to abbreviations page.

Tutorials

Rename pvOps examples to tutorials for consistency throughout repository.

Linked to tutorials in README.

Added a description of data in timeseries tutorial.

Removed redundant plots in timeseries tutorial.

Other

Added copyright and license attributes to pvops.

Removed manifest.in (not needed).

Removed docs/init.py (not a module).

Chose more appropriate author/copyright in setup.py and conf.py.

Added version to pvops (pvops.__version__ now exists).

Removed external licenses (determined to be unnecessary by legal).

Renamed citation file and updated version number.

Added noxfile for dev task running.

Removed unused docker files

Add standard python files to gitignore

Removed redundant requirements files

Pinned documentation related requirements

0.2.0

This release incorporates new functions and addresses depreciated commands in some of the package dependencies.

0.1.9

Includes updated documentation and fixes for dependency issues

0.1.8

Includes a data-derived expected energy model trained using machine learning methods. Associated example is also within the documentation.

0.1.7

Updated functions for data processing (text and timeseries) analysis. Also includes IV curve functions

0.1.6

Updated GitHub repo.

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