Alex,
Thanks for the information. I think python.org's version did this for me:
$ cat ~/.bash_profile
...
# Setting PATH for Python 2.7
# The orginal version is saved in .bash_profile.pysave
PATH="/Library/Frameworks/Python.framework/Versions/2.7/bin:${PATH}"
export PATH
...
It turns out, my problem actually was in ipython / numpy. I reinstalled
numpy to 1.8.0 and ipython was not recognizing it (similar to the
matplotlib problem). I reinstalled ipython with "sudo pip install numpy"
but it still recognized Apple's numpy. The solution was to install ipython
via "easy_install ipython"-- then it was able to recognize the correct
numpy, and correspondingly when I installed the latest version of
matplotlib, ipython recognized the version I wanted.
Thanks,
Tim
On Fri, Feb 21, 2014 at 6:12 PM, Alex Goodman <alex.good...@colostate.edu>wrote:
> Hi Tim,
>
> Whenever you have two python versions installed to one machine, it is
> generally a good practice to set your PATH environment variable to the
> directory where the python executable you want to use currently lies, and
> make it permanent by adding it to your ~/.bash_profile file (on MacOSX).
> Say your python.org version of python was installed in /something/bin.
> Then add the following line to your ~/.bash_profile:
>
> export PATH=/something/bin:$PATH
>
> Then run these commands:
> source ~/.bash_profile
> which python
> which pip
>
> If the output is /something/bin, then you are good to go; pip should then
> install matplotlib in the correct place. Hope that helps.
>
> Thanks,
> Alex
>
>
> On Fri, Feb 21, 2014 at 4:58 PM, Timothy Duly <timdu...@gmail.com> wrote:
>
>> Paul,
>>
>> Do you know how to to get pip install on python.org's version?
>>
>> Thanks,
>> Tim
>>
>>
>> On Fri, Feb 21, 2014 at 5:53 PM, Paul Hobson <pmhob...@gmail.com> wrote:
>>
>>> It appears that you have two different version of python installed
>>> (Apple's 2.7.3 and python.org's 2.7.5). You have to install all
>>> third-party packages to the correct one. It appears pip in acting on
>>> Apple's python.
>>>
>>>
>>> On Fri, Feb 21, 2014 at 2:08 PM, Timothy Duly <timdu...@gmail.com>wrote:
>>>
>>>> Hello,
>>>>
>>>> I recently upgraded matplotlib, which was relatively simple:
>>>>
>>>> sudo pip install matplotlib --upgrade
>>>>
>>>> I checked to make sure I did indeed upgrade:
>>>>
>>>> [~]$ python
>>>> Python 2.7.3 (v2.7.3:70274d53c1dd, Apr 9 2012, 20:52:43)
>>>> [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
>>>> Type "help", "copyright", "credits" or "license" for more information.
>>>> >>> import matplotlib; matplotlib.__version__
>>>> '1.3.1'
>>>>
>>>> Success. However, when I do the same in IPython, I get the old version:
>>>>
>>>> [~]$ ipython --pylab
>>>> Python 2.7.5 (default, Aug 25 2013, 00:04:04)
>>>> Type "copyright", "credits" or "license" for more information.
>>>> IPython 1.2.0 -- An enhanced Interactive Python.
>>>> ? -> Introduction and overview of IPython's features.
>>>> %quickref -> Quick reference.
>>>> help -> Python's own help system.
>>>> object? -> Details about 'object', use 'object??' for extra details.
>>>> Using matplotlib backend: MacOSX
>>>> In [1]: import matplotlib; matplotlib.__version__
>>>> Out[1]: '1.1.1'
>>>>
>>>> Anyone know why this is the case? How do I point IPython to the newest
>>>> version of matplotlib?
>>>>
>>>> I tried googling, but wasn't sure how to zero in on the answer with a
>>>> search. Also, I'm not sure if this question is best suited for IPython
>>>> people.
>>>>
>>>> Thanks,
>>>> Tim
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Managing the Performance of Cloud-Based Applications
>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
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>>>
>>
>>
>> --
>> -------------------------------------------------
>> Timothy M. Duly
>> Graduate Research Assistant
>> Remote Sensing & Space Sciences Group
>> Department of Electrical and Computer Engineering
>> University of Illinois at Urbana-Champaign
>> airglow.csl.illinois.edu
>> -------------------------------------------------
>>
>>
>> ------------------------------------------------------------------------------
>> Managing the Performance of Cloud-Based Applications
>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>> Read the Whitepaper.
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
>
> --
> Alex Goodman
> Graduate Research Assistant
> Department of Atmospheric Science
> Colorado State University
>
--
-------------------------------------------------
Timothy M. Duly
Graduate Research Assistant
Remote Sensing & Space Sciences Group
Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
airglow.csl.illinois.edu
-------------------------------------------------
------------------------------------------------------------------------------
Managing the Performance of Cloud-Based Applications
Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
Read the Whitepaper.
http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
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