I added a wheels build to binary build framework

Hi,

Prompted by Chris B, I just added matplotlib wheels building to the
framework here:

https://github.com/matthew-brett/mpl-osx-binaries

Instructions for build in the README.

Sorry - am In Cuba at the moment with very low internet bandwidth and
can't upload the wheels, but they should be simple to build (or I
messed up with the instructions),

Cheers,

Matthew

Hi,

Hi,

Prompted by Chris B, I just added matplotlib wheels building to the
framework here:

https://github.com/matthew-brett/mpl-osx-binaries

Instructions for build in the README.

Sorry - am In Cuba at the moment with very low internet bandwidth and
can't upload the wheels, but they should be simple to build (or I
messed up with the instructions),

Following up on this one - I have built OSX wheels for python 2.7, 3.3
and 3.4 here:

https://nipy.bic.berkeley.edu/scipy_installers/

You should now be able to do:

# upgrade to latest pip
pip install --upgrade pip
# get fully binary install of matplotlib
pip install --find-links=https://nipy.bic.berkeley.edu/scipy_installers
matplotlib

I've tested on a bare 10.6 machine for Python 2.7, will test for 3.3
and 3.4 - but - could y'all give the installation a try and see if it
works for you? It will work as well into a virtualenv. There are
also numpy wheels there so you can get the full stack with that
command.

These wheels are only for OSX I'm afraid - I'm no expert in windows builds.

Cheers,

Matthew

···

On Sat, Dec 14, 2013 at 12:28 PM, Matthew Brett <matthew.brett@...149...> wrote:

Hi,

···

On Sun, Mar 23, 2014 at 1:46 AM, Matthew Brett <matthew.brett@...149...> wrote:

Hi,

On Sat, Dec 14, 2013 at 12:28 PM, Matthew Brett <matthew.brett@...149...> wrote:

Hi,

Prompted by Chris B, I just added matplotlib wheels building to the
framework here:

https://github.com/matthew-brett/mpl-osx-binaries

Instructions for build in the README.

Sorry - am In Cuba at the moment with very low internet bandwidth and
can't upload the wheels, but they should be simple to build (or I
messed up with the instructions),

Following up on this one - I have built OSX wheels for python 2.7, 3.3
and 3.4 here:

https://nipy.bic.berkeley.edu/scipy_installers/

You should now be able to do:

# upgrade to latest pip
pip install --upgrade pip
# get fully binary install of matplotlib
pip install --find-links=https://nipy.bic.berkeley.edu/scipy_installers
matplotlib

I've tested on a bare 10.6 machine for Python 2.7, will test for 3.3
and 3.4 - but - could y'all give the installation a try and see if it
works for you? It will work as well into a virtualenv. There are
also numpy wheels there so you can get the full stack with that
command.

Yes, they seem to work on bare 10.6 on all three python versions. I
got one failure on python 3.4 but it didn't look related to the wheel:

======================================================================
FAIL: matplotlib.tests.test_basic.test_override_builtins
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/nose/case.py",
line 198, in runTest
    self.test(*self.arg)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/matplotlib/tests/test_basic.py",
line 38, in test_override_builtins
    assert not overridden
nose.proxy.AssertionError:
-------------------- >> begin captured stdout << ---------------------
'__spec__' was overridden in globals().

--------------------- >> end captured stdout << ----------------------

Cheers,

Matthew

I thought we fixed this one…

Seems like we haven’t as there is an open issue for it: https://github.com/matplotlib/matplotlib/issues/2842

···

On Sun, Mar 23, 2014 at 7:07 AM, Matthew Brett <matthew.brett@…149…> wrote:

Hi,

On Sun, Mar 23, 2014 at 1:46 AM, Matthew Brett <matthew.brett@…149…> wrote:

Hi,

On Sat, Dec 14, 2013 at 12:28 PM, Matthew Brett <matthew.brett@…149…> wrote:

Hi,

Prompted by Chris B, I just added matplotlib wheels building to the

framework here:

https://github.com/matthew-brett/mpl-osx-binaries

Instructions for build in the README.

Sorry - am In Cuba at the moment with very low internet bandwidth and

can’t upload the wheels, but they should be simple to build (or I

messed up with the instructions),

Following up on this one - I have built OSX wheels for python 2.7, 3.3

and 3.4 here:

https://nipy.bic.berkeley.edu/scipy_installers/

You should now be able to do:

upgrade to latest pip

pip install --upgrade pip

get fully binary install of matplotlib

pip install --find-links=https://nipy.bic.berkeley.edu/scipy_installers

matplotlib

I’ve tested on a bare 10.6 machine for Python 2.7, will test for 3.3

and 3.4 - but - could y’all give the installation a try and see if it

works for you? It will work as well into a virtualenv. There are

also numpy wheels there so you can get the full stack with that

command.

Yes, they seem to work on bare 10.6 on all three python versions. I

got one failure on python 3.4 but it didn’t look related to the wheel:

======================================================================

FAIL: matplotlib.tests.test_basic.test_override_builtins


Traceback (most recent call last):

File “/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/nose/case.py”,

line 198, in runTest

self.test(*self.arg)

File “/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/matplotlib/tests/test_basic.py”,

line 38, in test_override_builtins

assert not overridden

nose.proxy.AssertionError:

-------------------- >> begin captured stdout << ---------------------

spec’ was overridden in globals().

--------------------- >> end captured stdout << ----------------------

Cheers,

Matthew


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Hi,

···

On Mon, Mar 24, 2014 at 6:29 AM, Benjamin Root <ben.root@...553...> wrote:

I thought we fixed this one...

Seems like we haven't as there is an open issue for it:
https://github.com/matplotlib/matplotlib/issues/2842

Sorry - I didn't say - but the wheels are for the 1.3.1 release...

Cheers,

Matthew