Hi,
I'm trying to grid irregularly spaced data, such that the convex hull
of the data is not rectangular. Specifically, all my data lies in an
equilateral triangle inside the unit circle. I found:
http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data
and tried the suggested technique. For my grid, I made a square of
the min and max of my data. However, it had problems:
...
File
"/home/guest/.local/lib/python2.6/site-packages/matplotlib/delaunay/triangulate.py",
line 125, in _compute_convex_hull
hull.append(edges.pop(hull[-1]))
KeyError: 0
Should I expect matplotlib.mlab.griddata to work with a dataset like
this? I know that I can use hexbin, but it'd be really nice to see
contours explicitly.
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