[Matplotlib-users] segmentation fault problems with basemap

Benjamin Root ben.v.root at gmail.com
Thu Mar 30 10:20:59 EDT 2017


Could you use the faulthandler package to help produce a stack trace?
https://pypi.python.org/pypi/faulthandler/

If you are using python 3.4 or greater, it should already be in the
standard library.

Cheers!
Ben Root


On Wed, Mar 29, 2017 at 3:51 PM, Jason Snyder <jmssnyder at ucdavis.edu> wrote:

> Whenever I run a python with basemap I get a segmentation fault error.
> For example when running:
> from mpl_toolkits.basemap import Basemap
> import matplotlib.pyplot as plt
> # setup Lambert Conformal basemap.
> # set resolution=None to skip processing of boundary datasets.
> m = Basemap(width=12000000,height=9000000,projection='lcc',
>            resolution=None,lat_1=45.,lat_2=55,lat_0=50,lon_0=-107.)
> # draw a land-sea mask for a map background.
> # lakes=True means plot inland lakes with ocean color.
> m.drawlsmask(land_color='coral',ocean_color='aqua',lakes=True)
> plt.show()
>
> I get a segmentation fault core dump error.
>
> I have done some reading online about this and they say that it could be
> because I accidently installed two versions of geos (
> http://trac.osgeo.org/geos/), which include geos.3.3.6 and geos.3.3.3
> which was already available in the basemap package.   Could this be the
> problem that is creating the segmentation fault core dump?  If so how do I
> uninstall the geos libraries that I do not need.  There is not a lot of
> specific information on how to uninstall geos libraries and I really need a
> specific guide on how to do this and get the above script working properly.
>
>
>
> --
> Jason Snyder PhD
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170330/55628c7c/attachment.html>


More information about the Matplotlib-users mailing list