[Matplotlib-users] [Numpy-discussion] [REL] matplotlib v2.0.0

Juan Nunez-Iglesias jni.soma at gmail.com
Wed Jan 18 01:44:44 EST 2017


A momentous occasion!!! =D Thank you for the years of hard work!

On 18 Jan 2017, 3:55 AM +1100, Thomas Caswell <tcaswell at gmail.com>, wrote:
> Folks,
> We are happy to announce the release of (long delayed) matplotlib 2.0! This release completely overhauls the default style of the plots.
> The source tarball and wheels for Mac, Win, and manylinux for python 2.7, 3.4-3.6 are available on pypi
> pip install --upgrade matplotlib
> and conda packages for Mac, Win, linux for python 2.7, 3.4-3.6 are available from conda-forge
> conda install matplotlib -c conda-forge
> Highlights include:
> - 'viridis' is default color map instead of jet.
> - Modernized the default color cycle.
> - Many more functions respect the color cycle.
> - Line dash patterns scale with linewidth.
> - Change default font to DejaVu, now supports most Western alphabets (including Greek, Cyrillic and Latin with diacritics), math symbols and emoji out of the box.
> - Faster text rendering.
> - Improved auto-limits.
> - Ticks out and only on the right and bottom spines by default.
> - Improved auto-ticking, particularly for log scales and dates.
> - Improved image support (imshow respects scales and eliminated a class of artifacts).
> For a full list of the default changes (along with how to revert them) please see http://matplotlib.org/users/dflt_style_changes.html and http://matplotlib.org/users/whats_new.html#new-in-matplotlib-2-0.
> There were a number of small API changes documented at
> http://matplotlib.org/api/api_changes.html#api-changes-in-2-0-0
> I would like to thank everyone who helped on this release in anyway. The people at 2015 scipy BOF where this got started, users who provided feedback and suggestions along the way, the beta-testers, Nathaniel, Stefan and Eric for the new color maps, and all of the documentation and code contributors.
> Please report any issues to matplotlib-users at python.org (mailto:matplotlib-users at python.org) (will have to join to post un-moderated) or https://github.com/matplotlib/matplotlib/issues .
> Tom _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
> https://mail.scipy.org/mailman/listinfo/numpy-discussion
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