[Numpy-discussion] First release candidate for the 1.5.0 series

[Thomas Caswell]

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)

[Matthew Brett]

Hi,

Post by Thomas Caswell
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
- 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