Alan,

This mailing list is obsolete; please use matplotlib-us...@python.org.

Your traceback looks vaguely familiar as something that has come up before, but I don't have any more recollection than that. Suggestions:

1) Install your python environment the easy way via anaconda or miniconda: https://www.continuum.io/downloads

2) If you are *sure* you don't want to do it that way, make sure you have the most recent version of pip.

3) Likewise, install the most recent matplotlib.  See attached message.

Eric

On 2016/06/16 6:07 AM, Alan wrote:
Hi there,

I am not the admin so I have installed my own python 3.5.1 and I am
using pip3 to install all modules I need. I got all but matplotlib :-(

pip3 install -U matplotlib

                          Collecting matplotlib
  Using cached matplotlib-1.5.1.tar.gz
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-build-6eka4_fr/matplotlib/setup.py", line 167, in
<module>
        result = package.check()
      File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 980,
in check
        min_version='1.2', version=version)
      File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 459,
in _check_for_pkg_config
        if (not is_min_version(version, min_version)):
      File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 179,
in is_min_version
        return found_version >= expected_version
      File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 70,
in __ge__
        c = self._cmp(other)
      File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line
337, in _cmp
        if self.version < other.version:
    TypeError: unorderable types: str() < int()

============================================================================
    Edit setup.cfg to change the build options

    BUILDING MATPLOTLIB
                matplotlib: yes [1.5.1]
                    python: yes [3.5.1 (default, Jun 16 2016, 11:03:02)
 [GCC
                            4.4.7 20120313 (Red Hat 4.4.7-11)]]
                  platform: yes [linux]

    REQUIRED DEPENDENCIES AND EXTENSIONS
                     numpy: yes [version 1.11.0]
                  dateutil: yes [using dateutil version 2.5.3]
                      pytz: yes [using pytz version 2016.4]
                    cycler: yes [using cycler version 0.10.0]
                   tornado: yes [using tornado version 4.3]
                 pyparsing: yes [using pyparsing version 2.1.5]
                    libagg: yes [pkg-config information for 'libagg'
could not
                            be found. Using local copy.]
                  freetype: yes [version unknown]

    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in
/tmp/pip-build-6eka4_fr/matplotlib/

What am I missing here please?

Thanks,

Alan

PS. btw, with python 2.7.11 all went fine.


--- Begin Message ---
Hi,

On Thu, May 26, 2016 at 7:44 PM, Thomas Caswell <tcasw...@gmail.com> wrote:
> Hey folks,
>
> I just tagged rc2.
>
> This includes a some-what aggressive backport of the reworking of how we
> link into Tk to decouple from the exact version of tk we are compiled
> against (https://github.com/matplotlib/matplotlib/pull/6442)
>
> As such, please try to build this on your your systems and verify that mpl
> builds and works correctly with the tkagg backend.
>
> A major motivation for including this in the 1.5.2 release is that we can
> now release wheels for all of the major platforms.  Much of the credit for
> this should go to the tireless Matthew Brett.
>
> The new rc (and the old one) should be available (assuming the CI passes)
> for conda via
>
>    conda install -c conda-forge/channel/rc matplotlib

Y'all can test the new manylinux wheels with:

python -m pip install --upgrade pip  # upgrade to latest pip
pip install -f https://nipy.bic.berkeley.edu/manylinux --pre matplotlib

In particular, I'd love to know whether this works for you:

>>> import matplotlib
>>> matplotlib.use('tkagg')
>>> import matplotlib.pyplot as plt
>>> plt.plot(range(10))
>>> plt.show()

Cheers,

Matthew
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