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Notebook","category":"Climate Change","sub_category":"Earth and Climate Modeling","monthly_downloads":9698,"total_dependent_repos":6,"total_dependent_packages":3,"readme":"Pymagicc\n========\n\n+-------------------+----------------+--------------+--------+\n| Repository health |    |CI CD|     |  |Coverage|  | |Docs| |\n+-------------------+----------------+--------------+--------+\n\n+------+------------------+----------------+------------------+\n| Pypi |  |PyPI Install|  |     |PyPI|     |  |PyPI Version|  |\n+------+------------------+----------------+------------------+\n\n+-------+-----------------+-------------------+-----------------+\n| Conda | |conda install| | |conda platforms| | |conda version| |\n+-------+-----------------+-------------------+-----------------+\n\n+-------+--------+----------+\n| Paper | |JOSS| | |Zenodo| |\n+-------+--------+----------+\n\n+--------+-----------------+\n| Binder | |Launch Binder| |\n+--------+-----------------+\n\n+-----------------+----------------+---------------+-----------+\n|   Other info    | |Contributors| | |Last Commit| | |License| |\n+-----------------+----------------+---------------+-----------+\n\n.. sec-begin-links\n\n.. |CI CD| image:: https://github.com/openscm/pymagicc/workflows/pymagicc%20CI-CD/badge.svg\n    :target: https://github.com/openscm/pymagicc/actions?query=workflow%3A%22pymagicc+CI-CD%22\n.. |Coverage| image:: https://codecov.io/gh/openscm/pymagicc/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/openscm/pymagicc\n.. |Docs| image:: https://readthedocs.org/projects/pymagicc/badge/?version=latest\n    :target: https://pymagicc.readthedocs.io/en/latest/?badge=latest\n.. |PyPI Install| image:: https://github.com/openscm/pymagicc/workflows/Test%20PyPI%20install/badge.svg\n    :target: https://github.com/openscm/pymagicc/actions?query=workflow%3A%22Test+PyPI+install%22\n.. |PyPI| image:: https://img.shields.io/pypi/pyversions/pymagicc.svg\n    :target: https://pypi.org/project/pymagicc/\n.. |PyPI Version| image:: https://img.shields.io/pypi/v/pymagicc.svg\n    :target: https://pypi.org/project/pymagicc/\n.. |conda install| image:: https://github.com/openscm/pymagicc/workflows/Test%20conda%20install/badge.svg\n    :target: https://github.com/openscm/pymagicc/actions?query=workflow%3A%22Test+conda+install%22\n.. |conda platforms| image:: https://img.shields.io/conda/pn/conda-forge/pymagicc.svg\n    :target: https://anaconda.org/conda-forge/pymagicc\n.. |conda version| image:: https://img.shields.io/conda/vn/conda-forge/pymagicc.svg\n.. |JOSS| image:: https://joss.theoj.org/papers/85eb9a9401fe968073bb429ea361924e/status.svg\n    :target: https://joss.theoj.org/papers/85eb9a9401fe968073bb429ea361924e\n.. |Zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1111815.svg\n    :target: https://zenodo.org/record/1111815\n.. |Launch Binder| image:: https://img.shields.io/badge/launch-binder-e66581.svg\n    :target: https://mybinder.org/v2/gh/openscm/pymagicc/master?filepath=notebooks/Example.ipynb\n.. |Contributors| image:: https://img.shields.io/github/contributors/openscm/pymagicc.svg\n    :target: https://github.com/openscm/pymagicc/graphs/contributors\n.. |Last Commit| image:: https://img.shields.io/github/last-commit/openscm/pymagicc.svg\n    :target: https://github.com/openscm/pymagicc/commits/master\n.. |License| image:: https://img.shields.io/github/license/openscm/pymagicc.svg\n    :target: https://github.com/openscm/pymagicc/blob/master/LICENSE\n\n.. sec-end-links\n\n.. sec-begin-index\n\n.. sec-begin-long-description\n\nPymagicc is a Python wrapper around the reduced complexity climate model\n`MAGICC6 \u003chttp://magicc.org/\u003e`_. It wraps the CC-BY-NC-SA licensed\n`MAGICC6 binary \u003chttp://www.magicc.org/download6\u003e`_. Pymagicc itself is BSD-3 licensed.\n\nMAGICC (Model for the Assessment of Greenhouse Gas Induced Climate Change)\nis widely used in the assessment of future emissions pathways in climate policy analyses,\ne.g. in the Fifth Assessment Report of the\nIntergovernmental Panel on Climate Change or to model the physical aspects of climate change in Integrated Assessment Models (IAMs).\n\nPymagicc makes the MAGICC model easily installable and usable from Python and allows for the easy modification of all MAGICC model parameters and emissions scenarios directly from Python.\nIn climate research it can, for example, be used in the analysis of mitigation scenarios, in Integrated Assessment Models, complex climate model emulation, and uncertainty analyses, as well as in climate science education and communication.\n\nSee `www.magicc.org \u003chttp://www.magicc.org/\u003e`_ and `Meinshausen et al. 2011 \u003chttps://doi.org/10.5194/acp-11-1417-2011\u003e`_ for further information.\n\n.. sec-end-long-description\n\n.. sec-end-index\n\nBasic Usage\n-----------\n\n.. sec-begin-usage\n\n.. code:: python\n\n    import matplotlib.pyplot as plt\n\n    import pymagicc\n    import scmdata\n    from pymagicc import rcps\n\n    results = []\n    for scen in rcps.groupby(\"scenario\"):\n        results_scen = pymagicc.run(scen)\n        results.append(results_scen)\n\n    results = scmdata.run_append(results)\n\n    temperature_rel_to_1850_1900 = (\n        results\n        .filter(variable=\"Surface Temperature\", region=\"World\")\n        .relative_to_ref_period_mean(year=range(1850, 1900 + 1))\n    )\n\n    temperature_rel_to_1850_1900.lineplot()\n    plt.title(\"Global Mean Temperature Projection\")\n    plt.ylabel(\"°C over pre-industrial (1850-1900 mean)\");\n    # Run `plt.show()` to display the plot when running this example\n    # interactively or add `%matplotlib inline` on top when in a Jupyter Notebook.\n\n\n.. sec-begin-example-plot\n\n.. image:: scripts/example-plot.png\n    :align: center\n\n.. sec-end-example-plot\n\nFor more example usage see this `Jupyter Notebook \u003chttps://github.com/openscm/pymagicc/blob/master/notebooks/Example.ipynb\u003e`_.\nThanks to the `Binder project \u003chttps://mybinder.org\u003e`_ the `Notebook \u003chttps://mybinder.org/v2/gh/openscm/pymagicc/master?filepath=notebooks/Example.ipynb\u003e`_ can be run and modified without installing anything locally.\n\n.. sec-end-usage\n.. sec-begin-installation\n\nInstallation\n------------\n\n::\n\n    pip install pymagicc\n\nOn Linux and OS X the original compiled Windows binary available on\n`\u003chttp://www.magicc.org/\u003e`_ and included in Pymagicc\ncan run using `Wine \u003chttps://www.winehq.org/\u003e`_.\n\nOn modern 64-bit systems one needs to use the 32-bit version of Wine\n\n::\n\n    sudo dpkg --add-architecture i386\n    sudo apt-get install wine32\n\nOn 32-bit systems Debian/Ubuntu-based systems ``wine`` can be installed with\n\n::\n\n    sudo apt-get install wine\n\nOn OS X ``wine`` is available in the Homebrew package manager:\n\n::\n\n    brew install wine\n\nIt should also be available in other package managers, as well as directly from the `Wine project \u003chttps://wiki.winehq.org/Download\u003e`_.\n\nNote that after the first install the first run of Pymagicc might be slow due\nto setting up of the `wine` configuration and be accompanied by pop-ups or\ndebug output.\n\nTo run an example session using Jupyter Notebook and Python 3 you can run the\nfollowing commands to create a virtual environment ``venv`` and install an\neditable version for local development:\n\n.. code:: bash\n\n    git clone https://github.com/openscm/pymagicc.git\n\n    cd pymagicc\n    make venv\n    ./venv/bin/pip install --editable .\n    ./venv/bin/jupyter-notebook notebooks/Example.ipynb\n\n.. sec-end-installation\n.. sec-begin-development\n\nDevelopment\n-----------\n\nSetup\n*****\n\nFor local development, install dependencies and an editable version of Pymagicc from a clone or download of the Pymagicc repository with\n\n::\n\n    make venv\n    ./venv/bin/pip install --editable .\n\nRunning the tests\n*****************\n\nTo run the tests run\n\n::\n\n    ./venv/bin/pytest tests --verbose\n\nTo skip tests which run MAGICC and take longer use\n\n::\n\n    ./venv/bin/pytest tests --skip-slow\n\nTo get a test coverage report, run\n\n::\n\n    ./venv/bin/pytest --cov\n\nConventions\n***********\n\nStyle\n~~~~~\n\nTo unify coding style, allowing us to focus more on writing useful code and less time worrying about formatting, `black \u003chttps://github.com/ambv/black\u003e`_ is used.\n\nTo format the files in ``pymagicc`` and ``tests`` as well as ``setup.py`` run\n\n::\n\n    make black\n\nCsvs\n~~~~\n\nIn our miscellaneous csv's, for example the definitional csv's, we follow the following conventions to make our lives easier:\n\n- column names are all lower case, with underscores as separators (i.e. no spaces)\n\nDependencies\n~~~~~~~~~~~~\n\nA user of pymagicc should be able to pip install and run all of our notebooks.\nThis means that all of the libraries for running notebooks should be explicit dependencies, rather than being included in an extras requirement.\nWhilst this means that we have more dependencies, it makes it easier for end users and avoids extremely cryptic import errors.\n\n\nBuilding the documentation\n**************************\n\nThe docs use Sphinx and can be rebuilt locally in ``docs/builds/html/`` with\n\n::\n\n    make docs\n\n.. sec-end-development\n\nMore usage examples\n-------------------\n\n.. sec-begin-more-usage\n\nUse an included scenario\n************************\n\n.. code:: python\n\n    from pymagicc.scenarios import rcp26\n\n    rcp26.head()\n\nRead a MAGICC scenario file\n***************************\n\n.. code:: python\n\n    from pymagicc.scenarios import read_scen_file\n\n    scenario = read_scen_file(\"PATHWAY.SCEN\")\n\nRun MAGICC for a scenario\n*************************\n\n.. code:: python\n\n    import pymagicc\n    from pymagicc.scenarios import read_scen_file\n\n    scenario = read_scen_file(\"PATHWAY.SCEN\")\n\n    results = pymagicc.run(scenario)\n\n    temperature_rel_to_1850_1900 = (\n        results\n        .filter(variable=\"Surface Temperature\")\n        .relative_to_ref_period_mean(year=range(1850, 1900 + 1))\n    )\n\nUsing a different MAGICC version\n********************************\n\nA custom version of MAGICC may be used with ``pymagicc`` using the\n``MAGICC_EXECUTABLE_6`` and ``MAGICC_EXECUTABLE_7`` environment variables for MAGICC6\nand MAGICC7 respectively. These environment variables should be set to the\nlocation of the magicc executable (either ``magicc`` for linux/mac or\n``magicc.exe`` for Windows).\nFor example, a custom MAGICC7 folder located at ``/tmp/magicc`` can be used on\nunder Linux by setting ``MAGICC_EXECUTABLE_7`` to ``/tmp/magicc/run/magicc``.\n\nExample usage in Bash:\n\n.. code:: bash\n\n    MAGICC_EXECUTABLE_7=/tmp/magicc/run/magicc.exe make test\n\nOr in a script:\n\n.. code:: bash\n\n    #!/bin/bash\n    export MAGICC_EXECUTABLE_7=tmp/magicc/run/magicc.exe\n    make test\n\n.. sec-end-more-usage\n\nContributing\n------------\n\n.. sec-begin-contributing\n\nPlease report issues or discuss feature requests on Pymagicc's\n`issue tracker \u003chttps://github.com/openscm/pymagicc/issues\u003e`_.\n\nYou can also contact the `pymagicc` authors via email:\n`\u003cmailto:rob.g@web.de, zebedee.nicholls@climate-energy-college.org\u003e`_\n\n.. sec-end-contributing\n\n.. sec-begin-license\n\nLicense\n-------\n\nThe `compiled MAGICC binary \u003chttp://www.magicc.org/download6\u003e`_ by Tom Wigley,\nSarah Raper, and Malte Meinshausen included in this package is licensed under a `Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License \u003chttps://creativecommons.org/licenses/by-nc-sa/3.0/\u003e`_.\n\nSee also the `MAGICC website \u003chttp://magicc.org/\u003e`_ and\n`Wiki \u003chttp://wiki.magicc.org/index.php?title=Main_Page\u003e`_\nfor further information.\n\nThe ``pymagicc`` wrapper itself is released under a BSD-3 license. For details, see `LICENSE \u003c./LICENSE\u003e`_.\n\nCitation\n--------\n\nIf you make any use of MAGICC, its license requires citing of:\n\n    M. Meinshausen, S. C. B. Raper and T. M. L. Wigley (2011). \"Emulating coupled\n    atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6: Part I\n    \"Model Description and Calibration.\" Atmospheric Chemistry and Physics 11: 1417-1456.\n    `https://doi.org/10.5194/acp-11-1417-2011 \u003chttps://dx.doi.org/10.5194/acp-11-1417-2011\u003e`_\n\nIf you use Pymagicc in your research, please additionally cite\n\n    R. Gieseke, S. N. Willner and M. Mengel, (2018). Pymagicc: A Python wrapper\n    for the simple climate model MAGICC. Journal of Open Source Software, 3(22),\n    516, `https://doi.org/10.21105/joss.00516 \u003chttps://doi.org/10.21105/joss.00516\u003e`_\n\nFor proper reproducibility please reference the version of Pymagicc used. 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