[Matplotlib-users] Crash when using matplotlib.tri.LinearTriInterpolator

[Hartmut K. <har...@gm...>]

All,

I'm running into a crash while trying to construct a
tri.LinearTriInterpolator. Here is the short version of the code:

    import netCDF4
    import matplotlib.tri as tri

    var = netCDF4.Dataset('filename.cdf').variables
    x = var['x'][:]
    y = var['y'][:]
    data = var['attrname'][:]     
    elems = var['element'][:,:]-1

    triang = tri.Triangulation(x, y, triangles=elems)

    # this crashes the python interpreter
    interp = tri.LinearTriInterpolator(triang, data)

The data arrays (x, y, data, elems) are fairly large (>1 mio elements), all
represented as numpy arrays (as returned by netCDF4). The 'data' array is a
masked array and contains masked values.

If somebody cares, I'd be able to post a link to the netCDF data file
causing this.

All this happens when using matplotlib 1.3.1, Win32, Python 2.7.

Any help would be highly appreciated!
Regards Hartmut
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