On Mon, Sep 13, 2010 at 5:55 PM, Eric Firing <efir...@hawaii.edu> wrote:
> On 09/13/2010 12:08 PM, Virgil Stokes wrote:
>
>> On 2010-09-13 21:55, Benjamin Root wrote:
>>
>>> On Mon, Sep 13, 2010 at 2:38 PM, Virgil Stokes <v...@it.uu.se
>>> <mailto:v...@it.uu.se>> wrote:
>>>
>>> I have tried to produce a very simple plot with my recent
>>> installation of matplotlib (1.0.0 64-bit) and numpy (1.5.0 64-bit)
>>> using the following code (taken from the matplotlib tutorial
>>> material).
>>>
>>> *import matplotlib
>>> import numpy
>>> import matplotlib.pyplot as plt
>>>
>>> print matplotlib.__version__
>>> print numpy.__version__
>>>
>>> plt.plot([1,2,3,4])
>>> plt.ylabel('some numbers')
>>> plt.show()*
>>>
>>> If I execute this in Windows 7 (64-bit) it works correctly. If I
>>> execute this in Windows Vista (32-bit) it works correctly.
>>> If I execute this in Ubuntu 10.04 64-bit the versions are printed
>>> out correctly and thus I believe that the packages are being
>>> imported; but, /no plot is produced!/
>>>
>>> Why not?
>>>
>>>
>>> Virgil,
>>>
>>> Did you build matplotlib from source?
>>>
>> I did try this and believe that it succeeded (saw no errors displayed
>> during the build).
>>
>>> If so, then chances are that one or more backends were not built
>>> properly.
>>>
>> But, I do not understand what you mean here...
>>
>>> This typically happens if you do not have all the build dependencies.
>>>
>> And what can I do to correct this?
>>
>>>
>>> Note, the build will not necessarily fail if some dependencies are
>>> missing because the core portions of matplotlib still build successfully.
>>>
>> Sorry Ben, bu I do not understand what you mean here.
>> Would you please explain how I can use some combination of the following
>> (with Python 2.6 on Ubuntu 10.04 both 64-bit) to get a working
>> matplotlib and numpy.
>>
>> * *python-numpy_1.4.1-4_amd64.deb*
>> * *python-numpy_1.5.0-1ppa1_amd64.deb*
>> * *numpy-1.5.0.tar.gz*
>>
>> and,
>>
>> * *matplotlib_0.99.3-1ubuntu1.debian.tar.gz*
>> * *matplotlib_0.99.3.orig.tar.gz*
>> * *matplotlib-1.0.0.tar.gz*
>>
>> This has become such a frustrating task that I would settle for vers.
>> 0.99.3 of matplotlib and/or vers. 1.4.1-4 of numpy. I thought I
>> understood Python and Ubuntu 10.04 enough to accomplish this task; but,
>> obviously this was not the case. And I have looked at the FAQs and help
>> given at matplotlib's homepage.
>>
>
> If you would like up-to-date versions of both numpy and matplotlib, then
> you can either find and install the *dev packages individually, or do
> something like this:
>
> sudo apt-get build-dep python-matplotlib
> sudo apt-get remove python
>
> Now untar your numpy, go in, build and install:
>
> setup.py build
> sudo setup.py install
>
> And last, do the same for matplotlib, preferably with a checkout from svn.
> Some bugs have been fixed since the last release.
>
> Before all of this, you might do well to uninstall whatever versions or
> parts of numpy and matplotlib had been installed via your previous efforts.
>
> The point of the first apt-get is to install things like freetype and the
> gui toolkits. The only problem is that this also installs an old version of
> numpy, hence the second apt-get command.
>
> The good news is that once you get over the hump of having the dependencies
> installed, subsequent updates and compilations of numpy and matplotlib are
> easy. It is usually advisable to delete the build directory, since setup.py
> is not very smart with respect to knowing what needs to be recompiled.
> Sometimes it is also necessary to clean out the old version from its
> installation location. See attached script for an example of mpl
> uninstallation.
>
> Eric
>
>
Eric,
I keep on forgetting about that useful build-dep command. Maybe it might be
a good idea to include some of this information in the documentation as a
tip of some sort? I should also see if yum for RedHat-based systems also
have something similar. Finding all the dependencies can be a little
tedious at times and I often over-do it.
Ben Root
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