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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