The solution is following:
uninstall numpy using yum.
build numpy from source and install it.
Build matplotlib from source!
Best
On Mon, Feb 3, 2014 at 3:29 PM, Nemanja Savic <vlasi...@gmail.com> wrote:
> Hi all guys, I am back to the same issue again. At the moment I am not
> able to reazlize where does matplotlib configure script find that my
> version of numpy is 1.4.1?
>
>
> On Tue, Nov 12, 2013 at 4:20 PM, Nemanja Savic <vlasi...@gmail.com> wrote:
>
>> I see. But is there any other way to cope with this x server problem and
>> multiple figures plotting?
>>
>>
>> On Tue, Nov 12, 2013 at 3:21 PM, Benjamin Root <ben.r...@ou.edu> wrote:
>>
>>>
>>>
>>>
>>> On Tue, Nov 12, 2013 at 7:37 AM, Nemanja Savic <vlasi...@gmail.com>wrote:
>>>
>>>> Hi all guys,
>>>>
>>>> I am using RHEL6 and I am ploting figures throughout my project, so I
>>>> wanted some workaroung blocking show() function call. I have found few
>>>> solutions that use multiprocessing, so finally i finished with this:
>>>>
>>>> pool.map(plot_graph, c)
>>>>
>>>> and
>>>>
>>>> def plot_graph(*args):
>>>> plt.figure(args[0][2])
>>>> plt.bar(args[0][1][:-1], args[0][0], width=1)
>>>> plt.show()
>>>>
>>>> But when I have more than one figure the following error occures:
>>>>
>>>>
>>>> /usr/lib64/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621:
>>>> DeprecationWarning: Use the new widget gtk.Tooltip
>>>> self.tooltips = gtk.Tooltips()
>>>> /usr/lib64/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621:
>>>> DeprecationWarning: Use the new widget gtk.Tooltip
>>>> self.tooltips = gtk.Tooltips()
>>>> [xcb] Unknown sequence number while processing queue
>>>> [xcb] Most likely this is a multi-threaded client and XInitThreads has
>>>> not been called
>>>> [xcb] Aborting, sorry about that.
>>>> python: xcb_io.c:273: poll_for_event: Assertion
>>>> `!xcb_xlib_threads_sequence_lost' failed.
>>>> runner.py: Fatal IO error 0 (Success) on X server :0.0.
>>>>
>>>> Since my version of matplolib doesnt support blocking = false solution,
>>>> I wanted to install new version. For that I installed new version of numpy
>>>> but when i run python setup.py build in matplolib foldet i get following:
>>>>
>>>> Edit setup.cfg to change the build options
>>>>
>>>> BUILDING MATPLOTLIB
>>>> matplotlib: yes [1.3.1]
>>>> python: yes [2.6.6 (r266:84292, May 27 2013, 05:35:12)
>>>> [GCC
>>>> 4.4.7 20120313 (Red Hat 4.4.7-3)]]
>>>> platform: yes [linux2]
>>>>
>>>> REQUIRED DEPENDENCIES AND EXTENSIONS
>>>> numpy: yes [version 1.8.0]
>>>> dateutil: yes [using dateutil version 1.4.1]
>>>> tornado: yes [tornado was not found. It is required for
>>>> the
>>>> WebAgg backend. pip/easy_install may attempt to
>>>> install it after matplotlib.]
>>>> pyparsing: yes [pyparsing was not found. It is required for
>>>> mathtext support. pip/easy_install may attempt
>>>> to
>>>> install it after matplotlib.]
>>>> pycxx: yes [Couldn't import. Using local copy.]
>>>> libagg: yes [pkg-config information for 'libagg' could
>>>> not
>>>> be found. Using local copy.]
>>>> freetype: yes [version 9.22.3]
>>>> png: yes [version 1.2.49]
>>>>
>>>> OPTIONAL SUBPACKAGES
>>>> sample_data: yes [installing]
>>>> toolkits: yes [installing]
>>>> tests: yes [nose 0.11.1 or later is required to run the
>>>> matplotlib test suite]
>>>>
>>>> OPTIONAL BACKEND EXTENSIONS
>>>> macosx: no [Mac OS-X only]
>>>> qt4agg: yes [installing, Qt: 4.6.2, PyQt4: 4.6.2]
>>>> gtk3agg: no [Requires pygobject to be installed.]
>>>> gtk3cairo: no [Requires pygobject to be installed.]
>>>> gtkagg: yes [installing, Gtk: 2.18.9 pygtk: 2.16.0]
>>>> tkagg: yes [installing, version 73770]
>>>> wxagg: yes [installing, version 2.8.12.0]
>>>> gtk: yes [installing, Gtk: 2.18.9 pygtk: 2.16.0]
>>>> agg: yes [installing]
>>>> cairo: yes [installing, version 1.8.6]
>>>> windowing: no [Microsoft Windows only]
>>>>
>>>> OPTIONAL LATEX DEPENDENCIES
>>>> dvipng: yes [version 1.14]
>>>> ghostscript: yes [version 8.70]
>>>> latex: yes [version 3.1415926]
>>>> pdftops: no
>>>>
>>>> Traceback (most recent call last):
>>>> File "setup.py", line 268, in <module>
>>>> **extra_args
>>>> File "/usr/lib64/python2.6/distutils/core.py", line 113, in setup
>>>> _setup_distribution = dist = klass(attrs)
>>>> File "build/bdist.linux-x86_64/egg/setuptools/dist.py", line 221, in
>>>> __init__
>>>> File "build/bdist.linux-x86_64/egg/setuptools/dist.py", line 245, in
>>>> fetch_build_eggs
>>>> File "build/bdist.linux-x86_64/egg/pkg_resources.py", line 592, in
>>>> resolve
>>>> plugin_projects.sort() # scan project names in alphabetic order
>>>> pkg_resources.VersionConflict: (numpy 1.4.1
>>>> (/usr/lib64/python2.6/site-packages), Requirement.parse('numpy>=1.5'))
>>>>
>>>> When I run python and check numpy version it is indeed 1.8.0, but
>>>> matplotlib buils script somehow founded older one.
>>>>
>>>>
>>>> I would be really happy if somebody can help me overcome problem with
>>>> many figures.
>>>>
>>>> Best and cheers
>>>>
>>>>
>>> The issue is rather complex, and it is a very difficult one to solve on
>>> our end. What is happening is that in order to build matplotlib from
>>> source, you need to compile against the numpy headers at build-time.
>>> Unfortunately, python packaging being what it is, there is difficulty in
>>> making sure that the version of numpy that will be installed is the version
>>> used for the build. You seem to have numpy installed both at the system
>>> level and possibly at the user level. If possible, I would try removing
>>> numpy from your system level (and that likely means removing any other
>>> installed package that depends on it, and reinstalling via source).
>>>
>>> Ben Root
>>>
>>
>>
>>
>> --
>> Nemanja Savić
>>
>
>
>
> --
> Nemanja Savić
>
--
Nemanja Savić
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