Mailman 3 August 2018 - Matplotlib-users

[REL] Matplotlib 3.0.0rc2
by Thomas Caswell Aug. 29, 2018

Aug. 29, 2018

Folks, Matplotlib 3.0.0RC2 is tagged and up on pypi with wheels for all 3 platforms (conda-forge is in-process). This release requires python 3.5+. You can install the rc via: pip install --upgrade pip pip install --upgrade --pre matplotlib Please test it out and report any regressions! For a preview of the release notes and API changes see https://matplotlib.org/devdocs/users/whats_new.html https://matplotlib.org/devdocs/api/api_changes.html Almost 130 people contributed code to this release, a big thank you to everyone! https://matplotlib.org/devdocs/users/github_stats.html Tom

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mplcursors 0.2 release
by Antony Lee Aug. 15, 2018

Aug. 15, 2018

Dear all, I am please to announce the release of mplcursors 0.2. # Description mplcursors provides interactive data selection cursors for Matplotlib. Features include a callback system allowing full customization of the actions when data selection is triggered, and the ability to add a data selection cursor to any preexisting program using Matplotlib by just setting the MPLCURSORS environment variable, without changes to the source code. # Changelog from mplcursors 0.1 to mplcursors 0.2 - Updated dependency to matplotlib 2.1 (2.0 gives more information about orientation of bar plots; 2.1 improves the handling of step plots). - Setting `MPLCURSORS` hooks `Figure.draw` (once per figure only) instead of `plt.show`, thus supporting figures created after the first call to `plt.show`. - Automatic positioning and alignment of annotation text. - Selections on images now have an index as well. - Selections created on `scatter` plots, `errorbar` plots, and `polar` plots can now be moved. - `PathCollection`\s not created by `plt.scatter` are now picked as paths, not as collections of points. - `Patch`\es now pick on their borders, not their interior. - Improved picking of `Container`\s. - In hover mode, annotations can still be removed by right-clicking. Enjoy, Antony Lee

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[REL] Matplotlib 2.2.3
by Thomas Caswell Aug. 11, 2018

Aug. 11, 2018

Folks, Happy to announce we have tagged and release Matplotlib 2.2.3. This is the third bug-fix release of the v2.2 LTS series. Wheels and the tarball are on pypi and conda-forge is As a reminder the v2.2 LTS series is the last feature version of Matplotlib to support python 2.7 and will get bug fixes until 2020. Future feature releases will be python 3 only. In addition to documentation and example fixes this release fixes several critical bugs: - Fix import failure on BSD systems - Fix import errors in Qt shims for PyQt5 5.11 and PyQt4 4.12 - Fix import errors if bz2 module is not in standard library - Fix overflow in _path.h - Fix infinite recursion in transform repr - Fix bug with XKCD style - Remove unsafe usage of Popen A big thank you to everyone who worked on this release! Tom -- Thomas Caswell tcaswell(a)gmail.com

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Displaying raster colormap in a colorbar
by Matthew Bradley Aug. 5, 2018

Aug. 5, 2018

All: I have a raster that I want to add a colorbar to, and I've tried playing around with a few things, both giving the axes image a name and then calling it in the colorbar function i.e: cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio) cbar = fig.colorbar(cax, orientation='horizontal') and after the image is plotted like so: cax = ax[1].get_images()[0] cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2]) In either case it produces a PCyGY colormap instead of the diverging RGBlack color scheme. How can I replicate the correct color map in the color bar? Both of these methods appear to work for 2-D array. the sorted raster is an array of shape [861, 138, 3]. Thanks in advance for any help! -- Matthew Bradley

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