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* add contributor to docs * move info to contribs * try to do install reqs * appease stickler * now print correctly * add pdf to gitignore * fill in references
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*csv | ||
*xlsx | ||
*png | ||
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# Apple file system | ||
*.DS_STORE | ||
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Contributor Guidelines | ||
====================== | ||
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Have a question? Get in touch! | ||
------------------------------ | ||
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- Report bugs, suggest features or view the source code `on GitHub`_. | ||
- For less well defined questions or ideas, use the `mailing list`_. | ||
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.. _mailing list: https://groups.google.com/forum/#!forum/pyam | ||
.. _on GitHub: http://github.com/IAMconsortium/pyam | ||
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Interested in Contributing? Welcome to the team! | ||
------------------------------------------------ | ||
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The pyam package has been developed with the explicit aim to facilitate | ||
open and collaborative analysis of integrated assessment and climate models. | ||
We appreciate contributions to the code base and development of new features. | ||
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The community mailing list for questions and discussions on new features is | ||
hosted by Googlegroups. Please join at `groups.google.com/d/forum/pyam`_ | ||
and use <[email protected]> to send an email to the *pyam* community. | ||
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Please use the GitHub *Issues* feature to raise questions concerning potential | ||
bugs or to propose new features, but search and read resolved/closed topics on | ||
similar subjects before raising a new issue. | ||
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it should be obvious and self-evident that any such contributions | ||
are made in the spirit of open collaborative development. | ||
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.. _`groups.google.com/d/forum/pyam` : https://groups.google.com/d/forum/pyam | ||
.. _`pep8`: https://www.python.org/dev/peps/pep-0008/ |
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The **pyam** Python package provides a range of diagnostic tools and functions | ||
for analyzing and visualizing data from your favorite assessment model(s). | ||
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The *community mailing* list for questions and discussions on new features is | ||
hosted by Googlegroups. Please join at `groups.google.com/d/forum/pyam`_ | ||
and use <[email protected]> to send an email to the *pyam* community. | ||
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The source code for **pyam** is available on `Github`_. | ||
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.. _`Github`: | ||
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examples/index | ||
api | ||
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Get in touch | ||
------------ | ||
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- Report bugs, suggest features or view the source code `on GitHub`_. | ||
- For less well defined questions or ideas, use the `mailing list`_. | ||
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.. _mailing list: https://groups.google.com/forum/#!forum/pyam | ||
.. _on GitHub: http://github.com/IAMconsortium/pyam | ||
.. include:: ../../CONTRIBUTING.rst | ||
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License | ||
------- | ||
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:code:`pyam` is available under the open source `Apache License`_. | ||
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.. _Apache LIcense: http://www.apache.org/licenses/LICENSE-2.0.html | ||
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.. _Apache License: http://www.apache.org/licenses/LICENSE-2.0.html |
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@Misc{numpy, | ||
author = {Travis Oliphant}, | ||
title = {{NumPy}: A guide to {NumPy}}, | ||
year = {2006--}, | ||
howpublished = {USA: Trelgol Publishing}, | ||
url = "http://www.numpy.org/" | ||
} | ||
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@Article{matplotlib, | ||
Author = {Hunter, J. D.}, | ||
Title = {Matplotlib: A 2D graphics environment}, | ||
Journal = {Computing In Science \& Engineering}, | ||
Volume = {9}, | ||
Number = {3}, | ||
Pages = {90--95}, | ||
abstract = {Matplotlib is a 2D graphics package used for Python | ||
for application development, interactive scripting, and | ||
publication-quality image generation across user | ||
interfaces and operating systems.}, | ||
publisher = {IEEE COMPUTER SOC}, | ||
doi = {10.1109/MCSE.2007.55}, | ||
year = 2007 | ||
} | ||
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@InProceedings{pandas, | ||
author = {Wes McKinney}, | ||
title = {Data Structures for Statistical Computing in Python}, | ||
booktitle = {Proceedings of the 9th Python in Science Conference}, | ||
pages = {51 - 56}, | ||
year = {2010}, | ||
editor = {Stefan van der Walt and Jarrod Millman} | ||
} |
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install_requirements = [ | ||
"argparse", | ||
"numpy", | ||
"requests", | ||
"pandas >=0.21.0", | ||
"PyYAML", | ||
"xlrd", | ||
"xlsxwriter", | ||
"matplotlib", | ||
"seaborn", | ||
"six", | ||
] | ||
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def display(): | ||
for x in install_requirements: | ||
print(x) |
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