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
Very interesting --- what do these two commands actually do? (Just a short explanation would be appreciated)
Now untar your numpy, go in, build and install:
setup.py build
sudo setup.py install
Yes, this makes good sense...
And last, do the same for matplotlib, preferably with a checkout from svn. Some bugs have been fixed since the last release.
Never, have installed from svn; but, I assume that there is a tar file there that I can download and use for a 64-bit Linux system.
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.
Yes, I have already done this; but, I will check this carefully again before I start the reinstallation process.
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.
Ok, this seems to have answered my previous question.
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.
This is exactly where I was headed --- a complete and new mpl installation with the latest matplotlib.
Thanks for all the tips and pointing me in the correct direction. I will get back to you on how it went.
--V
···
On 14-Sep-2010 00:55, Eric Firing 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 <vs@...2650... >>> <mailto:vs@…2650…>> wrote:
