Thank you for 1.2.0 release!
Could you please make it clear that matplotlib requires
python.org-Python sourceforge.net-NumPy? Telling about it during
installation would be great.
I've lost an hour trying to figure out why matplotlib installer [1]
doesn't let me choose my system HD, saying "matplotlib requires System
Python 2.7 to install".
Figuring out the correct NumPy version was also confusing. First I
made a mistake by install numpy via system `easy_install`:
$ easy_install numpy
Ooops, wrong numpy. Let's download and install official NumPy [2]:
$ /usr/local/bin/python -c "import pylab"
RuntimeError: module compiled against API version 6 but this version
of numpy is 4
...
ImportError: numpy.core.multiarray failed to import
Hmm, it still tries to use wrong numpy. Let's remove it:
/usr/local/bin/python \-c "import numpy; print numpy\.\_\_file\_\_"
/System/Library/Frameworks/Python\.framework/Versions/2\.7/Extras/lib/python/numpy/\_\_init\_\_\.py
sudo rm -rf
/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy
Hooray:
$ /usr/local/bin/python -c "import pylab"
[1]: https://github.com/downloads/matplotlib/matplotlib/matplotlib-1.2.0-py2.7-python.org-macosx10.6.dmg
[2]: Download numpy-1.6.2-py2.7-python.org-macosx10.6.dmg (Numerical Python)
···
--
Alexey
On Fri, Nov 9, 2012 at 4:57 AM, Michael Droettboom <mdroe@...86...> wrote:
After months of hard work by a veritable army of contributors, I'm pleased
to announce the release of matplotlib 1.2.0.This is the first time we've released without the assistance of John Hunter,
who is sorely missed. I hope this is at least a small way to say thanks for
all of his great work.Release tarballs and binaries are available on github. (They are no longer
being made available on SourceForge).https://github.com/matplotlib/matplotlib/downloads
This is the first release to support Python 3.x (and as a result drops
support for Pythons earlier than 2.6). There is new support for outputting
PGF/TikZ files. New plot types include 3D trisurface plots, and
streamplots. Tripcolor, boxplot, colorbars and contour plots have all grown
new features. And under the hood, numerous improvements in stability,
flexibility and robustness. For a complete list, see the "what's new" page:http://matplotlib.org/users/whats_new.html
For an even more detailed list of 698 issues (!) resolved since the last
release, see the github statistics page:http://matplotlib.org/users/github_stats.html
Enjoy! As always, there are number of good ways to get help with matplotlib
listed on the homepage at http://matplotlib.org/ and I thank everyone for
their continued support of this project.Mike
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