Update release/v4.0.0 base. (#2943)

* updated docstings (#2934)

deprecated unused keyword args

* Feature/get all elements (#2939)

* Hallo

* Hallo Leute

* adding first draft of simple_hl_plot a function to easily highlight buses and lines paired with a hover functionality

* added function to get a dataframe of all elements in the net

* add test
clean comments
renaming

* add test

* add docu

* add changelog entry

* ltds_fix (#2938)

* updated ltds notebooks

* updated ltds notebooks, fixed LTDS converter

* added pytest split to tutorial_test pipeline (#2935)

* added pytest split to tutorial_test pipeline

* added notebook test times

* fixed many links (#2937)

other formatting

Co-authored-by: V3 <mike.vogt@iee.fraunhofer.de>

* Fix copyright text formatting in LICENSE file (#2914)

* Fix copyright text formatting in LICENSE file

* Refactor copyright notice in LICENSE

Updated copyright notice formatting in LICENSE file following [upstream changes](licensee/licensee#950) to handle multi-line attribution.

---------

Co-authored-by: KS_HTK <2981026+KS-HTK@users.noreply.github.com>

* added PowerElectronicsConnection to the LTDS converter, updated LTDS notebooks (PowerElectronicsConnection) (#2942)

Co-authored-by: David Heck <david.heck@iee.fraunhofer.de>

---------

Co-authored-by: Jan Wiemer <32835953+jwiemer112@users.noreply.github.com>
Co-authored-by: mrifraunhofer <94368111+mrifraunhofer@users.noreply.github.com>
Co-authored-by: V3 <mike.vogt@iee.fraunhofer.de>
Co-authored-by: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Co-authored-by: David Heck <david.heck@iee.fraunhofer.de>

Author: 6 people

.github/workflows/github_test_action.yml

@@ -330,6 +330,9 @@ jobs:
   tutorial_tests:
     needs: build
     runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        group: [ 1, 2, 3 ]
     steps:
       # UV does not work for julia, do not add it here!
       - uses: actions/checkout@v6
@@ -342,7 +345,7 @@ jobs:
       - name: Test with pytest
         # Careful when copying this command. The PYTHONPATH setup is Linux specific syntax.
         run: |
-          pytest --nbmake --nbmake-timeout=900 --timeout=900 "./tutorials"
+          pytest --splits 3 --group ${{ matrix.group }} --nbmake --nbmake-timeout=900 --timeout=900 "./tutorials"
 
   tutorial_warnings_tests:
     needs: build

CHANGELOG.rst

@@ -8,6 +8,7 @@ Change Log
 - [ADDED] LTDS support
 - [FIXED] cim2pp: CimConverter backwards-compatible (default value for cin_version)
 - [FIXED] jao converter: calculation of trafo parameters is based on primary side (hv) now
+- [ADDED] toolbox: :code:`get_all_elements` returns all elements of a pp.pandapowerNet as a DataFrame
 
 [3.4.0] - 2026-02-09
 -------------------------------
@@ -803,7 +804,7 @@ Change Log
 
 [1.6.0] - 2018-09-18
 ----------------------
-- [CHANGED] Cost definition changed for optimal powerflow, see OPF documentation (http://pandapower.readthedocs.io/en/v1.6.0/powerflow/opf.html) and opf_changes-may18.ipynb
+- [CHANGED] Cost definition changed for optimal powerflow, see OPF documentation (https://pandapower.readthedocs.io/en/v1.6.0/powerflow/opf.html) and opf_changes-may18.ipynb
 - [ADDED] OPF data (controllable, max_loading, costs, min_p_kw, ...) in Power System Test Cases
 - [ADDED] case_ieee30, case5, case_illinois200
 - [FIXED] 1 additional Trafo in case39, vn_kv change in case118, sgen indices in polynomial_cost in case 1888rte, case2848rte

LICENSE

@@ -1,8 +1,11 @@
 BSD 3-Clause License
 
-Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics
-and Energy System Technology (IEE) Kassel and individual contributors (see AUTHORS file for details).
-All rights reserved.
+Copyright (c)
+    2016-2026 University of Kassel
+    2016-2026 Fraunhofer Institute for Energy Economics
+    2016-2026 Energy System Technology (IEE) Kassel
+    2016-2026 individual contributors (see AUTHORS file for details)
+    All rights reserved.
 
 Redistribution and use in source and binary forms, with or without modification, are permitted
 provided that the following conditions are met:

README.rst

@@ -14,7 +14,7 @@
    :alt: versions
 
 .. image:: https://readthedocs.org/projects/pandapower/badge/
-   :target: http://pandapower.readthedocs.io/
+   :target: https://pandapower.readthedocs.io/
    :alt: docs
 
 .. image:: https://codecov.io/github/e2nIEE/pandapower/coverage.svg?branch=master
@@ -42,10 +42,12 @@
 
 
 pandapower is an easy to use network calculation program aimed to automate the analysis and optimization of power
-systems. It uses the data analysis library `pandas <http://pandas.pydata.org>`_ and is compatible with the commonly
+systems. It uses the data analysis library `pandas <https://pandas.pydata.org>`_ and is compatible with the commonly
 used MATPOWER / PYPOWER case format. pandapower allows using different solvers including an improved Newton-Raphson
-power flow implementation, all `PYPOWER <https://pypi.python.org/pypi/PYPOWER>`_ solvers, the C++ library solvers for fast steady-state distribution power system analysis of `PowerGridModel <https://github.com/PowerGridModel/power-grid-model>`_, the Newton-Raphson power flow solvers in the C++ library `lightsim2grid <https://github.com/BDonnot/lightsim2grid/>`_, and the
-`PowerModels.jl <https://github.com/lanl-ansi/PowerModels.jl/>`_ library.
+power flow implementation, all `PYPOWER <https://pypi.python.org/pypi/PYPOWER>`_ solvers, the C++ library solvers for
+fast steady-state distribution power system analysis of `PowerGridModel <https://github.com/PowerGridModel/power-grid-model>`_,
+the Newton-Raphson power flow solvers in the C++ library `lightsim2grid <https://github.com/BDonnot/lightsim2grid/>`_,
+and the `PowerModels.jl <https://github.com/lanl-ansi/PowerModels.jl/>`_ library.
 
 More information about pandapower can be found on `www.pandapower.org <https://www.pandapower.org/>`_:
 
@@ -78,14 +80,15 @@ be used in pandapower, have a look at the *SimBench* `project website <https://w
    :alt: pandapipes_logo
 
 If you want to model pipe networks (heat, gas or water) as well, we recommend
-pandapower's sibling project *pandapipes* (`website <https://www.pandapipes.org>`_, `GitHub repository <https://github.com/e2nIEE/pandapipes>`_).
+pandapower's sibling project *pandapipes*. `pandapipes.org <https://www.pandapipes.org>`__,
+`GitHub repository <https://github.com/e2nIEE/pandapipes>`__.
 
 |
 
 pandapower is a joint development of the research group of the Department for Sustainable Electrical Energy Systems (e2n), University of Kassel and the Department for Distribution System
 Operation at the Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Kassel.
 
-.. image:: http://www.pandapower.org/images/contact/Logo_e2n.png
+.. image:: https://www.pandapower.org/images/contact/Logo_e2n.png
     :target: https://www.uni-kassel.de/eecs/en/sections/energiemanagement-und-betrieb-elektrischer-netze/home
     :width: 500
 
@@ -97,4 +100,5 @@ Operation at the Fraunhofer Institute for Energy Economics and Energy System Tec
 
 |
 
-We welcome contributions to pandapower of any kind - if you want to contribute, please check out the `pandapower contribution guidelines <https://github.com/e2nIEE/pandapower/blob/develop/CONTRIBUTING.rst>`_.
+We welcome contributions to pandapower of any kind - if you want to contribute, please check out the
+`contribution guidelines <https://github.com/e2nIEE/pandapower/blob/develop/CONTRIBUTING.rst>`__.

doc/about.rst

@@ -2,7 +2,8 @@
 About pandapower
 ##########################
 
-pandapower combines the data analysis library `pandas <http://pandas.pydata.org>`_ and the power flow solver `PYPOWER <https:/pypi.python.org/pypi/PYPOWER>`_ to create an easy to use network calculation program
+pandapower combines the data analysis library `pandas <https://pandas.pydata.org>`_ and the power flow solver
+`PYPOWER <https://pypi.org/project/PYPOWER/>`_ to create an easy to use network calculation program
 aimed at automation of analysis and optimization in power systems.
 
 .. image:: /pics/pp.svg

doc/index.rst

@@ -2,7 +2,8 @@
 pandapower
 ############################
 
-pandapower combines the data analysis library `pandas <http://pandas.pydata.org>`_ and the power flow solver `PYPOWER <https://pypi.python.org/pypi/PYPOWER>`_ to create an easy to use network calculation program
+pandapower combines the data analysis library `pandas <https://pandas.pydata.org>`_ and the power flow solver
+`PYPOWER <https://pypi.org/project/PYPOWER/>`_ to create an easy to use network calculation program
 aimed at automation of analysis and optimization in power systems.
 
 .. image:: /pics/pp.svg

doc/networks.rst

@@ -7,11 +7,11 @@ Networks
 Besides creating your own grids using pandapower functions, pandapower provides synthetic and
 benchmark grids through the networks module.
 
-The pandapower networks module contains example grids, simple test grids, randomly generated
-grids, CIGRE test grids, IEEE case files (including 3-phase grids) and synthetic low voltage grids from Georg Kerber, Lindner et. al. and Dickert et. al.
-If you want to evaluate your algorithms on benchmark grids with corresponding full-year load, generation, and storage profiles
-or want to publish your results in a reproducible manner, we recommend the SimBench repository
-(`Homepage <https://simbench.de/en/>`_, `GitHub Repository to use SimBench with pandapower <https://github.com/e2nIEE/simbench>`_).
+The pandapower networks module contains example grids, simple test grids, randomly generated grids, CIGRE test grids,
+IEEE case files (including 3-phase grids) and synthetic low voltage grids from Georg Kerber, Lindner et. al. and Dickert
+et. al. If you want to evaluate your algorithms on benchmark grids with corresponding full-year load, generation, and
+storage profiles or want to publish your results in a reproducible manner, we recommend the SimBench repository
+(`SimBench Homepage <https://simbench.de/en/>`__, `SimBench GitHub Repository <https://github.com/e2nIEE/simbench>`__).
 
 You can find documentation for the individual network modules of pandapower here:
 

doc/networks/cigre.rst

@@ -1,4 +1,3 @@
-
 ==============
 CIGRE Networks
 ==============
@@ -11,10 +10,12 @@ integration at high voltage, medium voltage and low voltage and at the desired d
 
 .. note::
 
-    Source for this network is the final Report of Task Force C6.04.02 [1]: `"Benchmark Systems for Network Integration of Renewable and Distributed Energy Resources" <http://www.e-cigre.org/Order/select.asp?ID=729590>`_, 2014
+    Source for this network is the final Report of Task Force C6.04.02 [1]:
+    `Benchmark Systems for Network Integration of Renewable and Distributed Energy Resources - Reference: 575 - 2014. <https://www.e-cigre.org/publications/detail/575-benchmark-systems-for-network-integration-of-renewable-and-distributed-energy-resources.html>`__
 
     See also a correlating Paper with tiny changed network parameters [2]:
-    `K. Rudion, A. Orths, Z. A. Styczynski and K. Strunz, Design of benchmark of medium voltage distribution network for investigation of DG integration <http://ieeexplore.ieee.org/document/1709447/?arnumber=1709447&tag=1>`_ 2006 IEEE Power Engineering Society General Meeting, Montreal, 2006
+    `K. Rudion, A. Orths, Z. A. Styczynski and K. Strunz, Design of benchmark of medium voltage distribution network for investigation of DG integration <https://ieeexplore.ieee.org/document/1709447/?arnumber=1709447&tag=1>`__
+    2006 IEEE Power Engineering Society General Meeting, Montreal, 2006
 
 High voltage transmission network
 ---------------------------------
@@ -44,7 +45,7 @@ High voltage transmission network
 	:alt: alternate Text
 	:align: center
 
-`[Source: 1] <http://www.e-cigre.org/Order/select.asp?ID=729590>`_
+`[Source 1]`_
 
 
 
@@ -74,7 +75,7 @@ Medium voltage distribution network
 	:alt: alternate Text
 	:align: center
 
-`[Source: 1] <http://www.e-cigre.org/Order/select.asp?ID=729590>`_
+`[Source 1]`_
 
 
 ---------------------------
@@ -115,7 +116,7 @@ Although the case study mentions the High Voltage as 220 kV, we assume 110 kV ag
 	:alt: alternate Text
 	:align: center
 
-`[Source: 1] <http://www.e-cigre.org/Order/select.asp?ID=729590>`_
+`[Source 1]`_
 
 
 ---------------------------
@@ -159,7 +160,7 @@ considered. Although the case study mentions the High Voltage as 220 kV, we assu
 	:alt: alternate Text
 	:align: center
 
-`[Source: 1] <http://www.e-cigre.org/Order/select.asp?ID=729590>`_
+`[Source 1]`_
 
 
 ---------------------------
@@ -191,4 +192,8 @@ Low voltage distribution network
 	:alt: alternate Text
 	:align: center
 
-`[Source: 1] <http://www.e-cigre.org/Order/select.asp?ID=729590>`_
+`[Source 1]`_
+
+
+.. _[Source 1]: https://www.e-cigre.org/publications/detail/575-benchmark-systems-for-network-integration-of-renewable-and-distributed-energy-resources.html
+.. _[Source 2]: https://ieeexplore.ieee.org/document/1709447/?arnumber=1709447&tag=1

doc/networks/power_system_test_cases.rst

@@ -4,7 +4,8 @@ Power System Test Cases
 
 .. note::
 
-    All Power System Test Cases were converted from `PYPOWER <https:/pypi.python.org/pypi/PYPOWER>`_ or `MATPOWER <http://www.pserc.cornell.edu/matpower/>`_ case files.
+    All Power System Test Cases were converted from `PYPOWER <https://pypi.org/project/PYPOWER/>`__ or
+    `MATPOWER <https://matpower.org/>`__ case files.
 
 
 Case 4gs

doc/opf/pandamodels.rst

@@ -8,32 +8,38 @@ Optimization with PandaModels.jl
 Introduction
 --------------------
 
-`PandaModels.jl <https://github.com/e2nIEE/PandaModels.jl>`_ (pandapower + PowerModels.jl) is an interface (Julia package) enabling the connection of pandapower and PowerModels in a stable and functional way. Except for calling the implemented optimization models in PowerModels, users can create custom optimization models with PandaModels. Presently, users can solve some reactive power optimization problems with PandaModels.
+`PandaModels.jl <https://github.com/e2nIEE/PandaModels.jl>`__ (pandapower + PowerModels.jl) is an interface
+(Julia package) enabling the connection of pandapower and PowerModels in a stable and functional way. Except for calling
+the implemented optimization models in PowerModels, users can create custom optimization models with PandaModels.
+Presently, users can solve some reactive power optimization problems with PandaModels.
 
 
 Installation
 --------------
 
-If you are not yet using `Julia <https://julialang.org/downloads/>`_, install it. For the interface to work, note that you need a version that is supported by PowerModels, PyCall and pyjulia. Currently, Former julia versions are available `here <https://julialang.org/downloads/oldreleases/>`__.
+If you are not yet using `Julia <https://julialang.org/downloads/>`__, install it. For the interface to work, note that
+you need a version that is supported by PowerModels, PyCall and pyjulia. Currently, Former julia versions are available
+`here <https://julialang.org/downloads/oldreleases/>`__.
 
-.. note:: You don't necessarily need a Julia IDE if you are using PandaModels through pandapower, but it might help for debugging to install an IDE such as `Juno <http://docs.junolab.org/latest/man/installation>`_. Also, PyCharm has a Julia Plugin.
+.. note:: You don't necessarily need a Julia IDE if you are using PandaModels through pandapower, but it might help for
+    debugging to install an IDE such as `Juno <https://docs.junolab.org/latest/man/installation/>`__. Also, PyCharm has
+    a Julia Plugin.
 
-1. Add the Julia binary folder (e.g. `C:\Users\username\AppData\Local\Programs\Julia-1.8.0\bin\` on Windows or `/Applications/Julia-1.5.app/Contents/Resources/julia/bin` on MacOS) to the `system variable PATH <https://www.computerhope.com/issues/ch000549.htm>`_. Providing the path is correct, you can now enter the julia prompt by executing :code:`julia` in your shell (on Windows, rebooting the system is needed to take advantage of changes to the :code:`PATH`.
+1. Add the Julia binary folder
+    (e.g. `C:\\Users\\username\\AppData\\Local\\Programs\\Julia-1.8.0\\bin\\` on Windows or
+    `/Applications/Julia-1.5.app/Contents/Resources/julia/bin` on MacOS) to the
+    `system variable PATH <https://www.computerhope.com/issues/ch000549.htm>`_. Providing the path is correct, you can
+    now enter the julia prompt by executing :code:`julia` in your shell (on Windows, rebooting the system is needed to
+    take advantage of changes to the :code:`PATH`.
 
-2. The library `PyCall <https://github.com/JuliaPy/PyCall.jl#installation>`__ allows to use Python from inside julia. By default, PyCall uses the Conda.jl package to install a Miniconda distribution private to Julia. To use an already installed Python distribution (e.g. Anaconda), set the :literal:`PYTHON` environment variable inside the Julia prompt.
-
-   On Windows:
-
-    :code:`ENV["PYTHON"]=raw"C:\\Anaconda3\\python.exe"`
-
-   On MacOS:
-
-    :code:`ENV["PYTHON"]="/Users/%Username/opt/anaconda3/bin/python"`
+2. The library `PythonCall.jl <https://github.com/JuliaPy/PythonCall.jl>`__ allows to use Python from inside julia.
+    By default, PythonCall uses the CondaPkg.jl package to create an environment private to each Julia project.
 
+.. FIXME: Anything past this point needs to be converted to PythonCall + JuliaCall
 
 3. Access the package manager by typing :code:`]`. Now install the packages: :code:`add Ipopt PowerModels PyCall`. To pass the python environment variable, running :code:`build PyCall` inside the julia package manager may be necessary.
 
-4. Inside package manager, test your `PowerModels <https://lanl-ansi.github.io/PowerModels.jl/stable/#Installation-1>`_ installation by executing :code:`test PowerModels`. Alternatively, you can call :code:`using Pkg` and then :code:`Pkg.test("PowerModels")` outside the package manager directly as julia expression. Then, test whether calling Python from Julia works, as described `here <https://github.com/JuliaPy/PyCall.jl#usage>`__.
+4. Inside package manager, test your `PowerModels <https://lanl-ansi.github.io/PowerModels.jl/stable/#Installation-1>`__ installation by executing :code:`test PowerModels`. Alternatively, you can call :code:`using Pkg` and then :code:`Pkg.test("PowerModels")` outside the package manager directly as julia expression. Then, test whether calling Python from Julia works, as described `here <https://github.com/JuliaPy/PyCall.jl#usage>`__.
 
 .. note:: If you cannot plot using PyCall and PyPlot in Julia, see the workarounds offered `here <https://github.com/JuliaPy/PyCall.jl/issues/665>`__.