First release candidate for the 1.5.0 series
Please give it a try! (linux64 conda builds are available on the tacaswell anaconda.org channel) https://github.com/matplotlib/matplotlib/releases/tag/v1.5.0rc1 This release contains many new features. The highlights include: - the object oriented API will now automatically re-draw the figure when working in the command line - automatic unpacking of labeled data into most plotting functions - arbitrary style cycling - four new perceptually linear color maps - mouse-over for pixel values with `imshow` - many new rcparams In addition there are significant improvements to `nbagg` and a complete overhaul of the c++ bindings to AGG. Please see the drafts of the [full whats new]( http://matplotlib.org/devdocs/users/whats_new.html#new-in-matplotlib-1-5) and [api changes]( http://matplotlib.org/devdocs/api/api_changes.html#changes-in-1-5-0)
Hi, On Mon, Sep 14, 2015 at 8:59 PM, Thomas Caswell <tcaswell@gmail.com> wrote:
Please give it a try! (linux64 conda builds are available on the tacaswell anaconda.org channel)
https://github.com/matplotlib/matplotlib/releases/tag/v1.5.0rc1
This release contains many new features. The highlights include:
- the object oriented API will now automatically re-draw the figure when working in the command line - automatic unpacking of labeled data into most plotting functions - arbitrary style cycling - four new perceptually linear color maps - mouse-over for pixel values with `imshow` - many new rcparams
In addition there are significant improvements to `nbagg` and a complete overhaul of the c++ bindings to AGG.
Please see the drafts of the [full whats new](http://matplotlib.org/devdocs/users/whats_new.html#new-in-matplotlib-1-5) and [api changes](http://matplotlib.org/devdocs/api/api_changes.html#changes-in-1-5-0)
After some struggle, RC1 wheels up at http://wheels.scipy.org/ Built via : https://travis-ci.org/MacPython/matplotlib-wheels/builds/80587383 If you're testing Python 3.5 you'll need the patched numpy 1.9.2 wheel from nipy.bic.berkeley.edu : pip install -f https://nipy.bic.berkeley.edu/scipy_installers numpy Cheers, Matthew
participants (2)
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Matthew Brett
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Thomas Caswell