On 7/13/07, Rob Hetland <[EMAIL PROTECTED]> wrote:
>
> Nope -- the same occurs in the regular terminal, so it's not
> iPython's fault.
>
> Also, although I though I remembered this happening with qt4 (as
> posted below), I do not seem to be able to reproduce this now..
>
> Also, clearing and closing the figure works fine -- only clicking it
> away triggers the bug.
> So:  Almost surely MPL, probably Tk, is my guess.

Included below are our standard segfault instructions.  The first
thing to do is to make sure you blow away your build dir and installed
mpl and get a clean build.  Secondly, make sure you are using numpy
and your rc numerix setting is numpy.  Here are the instructions::


# How to diagnose where a segfault is occurring

First thing to try is simply rm -rf the site-packages/matplotlib and
build subdirs and get a clean install.  Installing a new version over
a pretty old version has been known to cause trouble, segfault, etc.

Try importing these packages individually

  import matplotlib._image
  import matplotlib._transforms

  #one of these three depending on which numerix package you are using
  import matplotlib.backends._na_backend_agg # for numarray
  import matplotlib.backends._nc_backend_agg # for Numeric
  import matplotlib.backends._ns_backend_agg # for numpy

  import matplotlib.backends._tkagg
  import matplotlib._agg


If the last two work and the others don't, it is likely you need to
upgrade your gcc, because on some platforms (OS X for sure) old
versions of gcc cannot compile new versions of pycxx, which matplotlib
uses for building some but not all of it's extensions.  Report back
which if any work or segfault or raise tracebacks,

If that shed additional light, again flush the build and install dirs,
and try setting VERBOSE=True in setup.py before doing a clean install.
The VERBOSE setting will generate lots of extra output and may help
indicate where the segfault is occurring

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