To find out your matplotlib version number, import it and print the __version__ attribute:
>>> import matplotlib >>> matplotlib.__version__ '0.98.0'
You can find what directory matplotlib is installed in by importing it and printing the __file__ attribute:
>>> import matplotlib >>> matplotlib.__file__ '/home/jdhunter/dev/lib64/python2.5/site-packages/matplotlib/__init__.pyc'
Each user has a .matplotlib/ directory which may contain a matplotlibrc file and various caches to improve matplotlib’s performance. To locate your .matplotlib/ directory, use matplotlib.get_configdir():
>>> import matplotlib as mpl >>> mpl.get_configdir() '/home/darren/.matplotlib'
On unix-like systems, this directory is generally located in your HOME directory. On windows, it is in your documents and settings directory by default:
>>> import matplotlib >>> mpl.get_configdir() 'C:\\Documents and Settings\\jdhunter\\.matplotlib'
There are a number of good resources for getting help with matplotlib. There is a good chance your question has already been asked:
If you are unable to find an answer to your question through search, please provide the following information in your e-mail to the mailing list:
your operating system; (Linux/UNIX users: post the output of uname -a)
matplotlib version:python -c `import matplotlib; print matplotlib.__version__`
where you obtained matplotlib (e.g. your Linux distribution’s packages or the matplotlib Sourceforge site, or the enthought python distribution EPD).
any customizations to your matplotlibrc file (see Customizing matplotlib).
if the problem is reproducible, please try to provide a minimal, standalone Python script that demonstrates the problem. This is the critical step. If you can’t post a piece of code that we can run and reproduce your error, the chances of getting help are significantly diminished. Very often, the mere act of trying to minimize your code to the smallest bit that produces the error will help you find a bug in your code that is causing the problem.
you can get very helpful debugging output from matlotlib by running your script with a verbose-helpful or --verbose-debug flags and posting the verbose output the lists:> python simple_plot.py --verbose-helpful > output.txt
If you compiled matplotlib yourself, please also provide
any changes you have made to setup.py or setupext.py
the output of:rm -rf build python setup.py build
The beginning of the build output contains lots of details about your platform that are useful for the matplotlib developers to diagnose your problem.
your compiler version – eg, gcc --version
Including this information in your first e-mail to the mailing list will save a lot of time.
You will likely get a faster response writing to the mailing list than filing a bug in the bug tracker. Most developers check the bug tracker only periodically. If your problem has been determined to be a bug and can not be quickly solved, you may be asked to file a bug in the tracker so the issue doesn’t get lost.
First make sure you have a clean build and install (see How to completely remove matplotlib), get the latest git update, install it and run a simple test script in debug mode:
rm -rf build rm -rf /path/to/site-packages/matplotlib* git pull python setup.py install > build.out python examples/pylab_examples/simple_plot.py --verbose-debug > run.out
Of course, you will want to clearly describe your problem, what you are expecting and what you are getting, but often a clean build and install will help. See also Getting help.