Re: [Matplotlib-users] installation problem

[jw]

I installed using version 1.3.1 windows binary
"matplotlib-1.3.1.win32-py2.7.exe" from mathplotlib download. Installation
went fine, but when using the package, it says "dateutil" and "pyparsing"
are missing, which are supposed to be bundled according to the installation
instruction. Is this a bug or expected behavior from now on? I did not have
this issue for earlier versions of matplotlib.
My base python is 2.7.8.

If anyone is having the issue, either download the binaries from pythonlibs
mentioned above, or
install from the sources, which I did as follows:
(1) Install setuptools if you don't have it. 
Download source from https://pypi.python.org/pypi/setuptools;
Unpack and run 'ez_setup.py install'; or 'python ez_setup.py install'
This will install setuptools.

(2) Install any other package by downloading the source, unpacking, and 
running 'setup.py install'
e.g., "dateutil" has been installed this way.
https://pypi.python.org/pypi/python-dateutil, same for pyparsing



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Re: [Matplotlib-users] installation problem

[jw]

Thanks for pointing it to a packaging issue, as matplotlib works very well
after installing the missing packages.
I don't know really the the issue, but I hope it gets sorted out. The
earlier binaries had everything it needed on windows, so very convenient to
users. I think problems like this could really discourage new users to try,
particularly the inexperienced.

In my case, the matplotlib install was a clean install on a new machine,
though I had used it often on other computers. It was installed after Python
2.7.8, numpy, scipy, and Vpython, so the problem had to be packaging rather
than transitional, it'd would seem.


One possibility is that with v1.3, we changed how packaging was done.
Unfortunately, this did cause some transitional issues. The best bet is to
uninstall *all* versions of matplotlib, pylab, and mpl_toolkits first, then
re-install v1.3.1. Note that waiting for the v1.4 release wouldn't
necessarily solve anything as it is the transition *from* older versions of
matplotlib that is the issue rather than transitioning *to* newer versions.

Hopefully this helps,
Ben Root





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