Obtaining Matplotlib version#
To find out your Matplotlib version number, import it and print the
>>> import matplotlib >>> matplotlib.__version__ '0.98.0'
matplotlib install location#
You can find what directory Matplotlib is installed in by importing it
and printing the
>>> import matplotlib >>> matplotlib.__file__ '/home/jdhunter/dev/lib64/python2.5/site-packages/matplotlib/__init__.pyc'
matplotlib configuration and cache directory locations#
>>> import matplotlib as mpl >>> mpl.get_configdir() '/home/darren/.config/matplotlib'
On Unix-like systems, this directory is generally located in your
HOME directory under the
In addition, users have a cache directory. On Unix-like systems, this is
separate from the configuration directory by default. To locate your
.cache/ directory, use
>>> import matplotlib as mpl >>> mpl.get_cachedir() '/home/darren/.cache/matplotlib'
On Windows, both the config directory and the cache directory are
the same and are in your
Documents and Settings or
directory by default:
>>> import matplotlib as mpl >>> mpl.get_configdir() 'C:\\Documents and Settings\\jdhunter\\.matplotlib' >>> mpl.get_cachedir() 'C:\\Documents and Settings\\jdhunter\\.matplotlib'
If you would like to use a different configuration directory, you can
do so by specifying the location in your
environment variable -- see
Setting environment variables in Linux and macOS. Note that
MPLCONFIGDIR sets the location of both the configuration
directory and the cache directory.
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
python -c "import matplotlib; print(matplotlib.__version__)"
Where you obtained Matplotlib (e.g., your Linux distribution's packages, GitHub, PyPI, or Anaconda).
Any customizations to your
matplotlibrcfile (see Customizing Matplotlib with style sheets and rcParams).
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.
Matplotlib provides debugging information through the
logginglibrary, and a helper function to set the logging level: one can call
plt.set_loglevel("info") # or "debug" for more info
to obtain this debugging information.
Standard functions from the
loggingmodule are also applicable; e.g. one could call
logging.basicConfig(level="DEBUG")even before importing Matplotlib (this is in particular necessary to get the logging info emitted during Matplotlib's import), or attach a custom handler to the "matplotlib" logger. This may be useful if you use a custom logging configuration.
If you compiled Matplotlib yourself, please also provide:
any changes you have made to
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 -- e.g.,
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.
Problems with recent git versions#
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 /path/to/site-packages/matplotlib* git clean -xdf git pull python -m pip install -v . > build.out python -c "from pylab import *; set_loglevel('debug'); plot(); show()" > 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.