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data = N.loadtxt(filename) | |
x = 100*data[:, xidx] | |
y = 100*data[:, yidx] | |
fl = data[:, flidx] | |
asp = 4.5/(xlim[1] - xlim[0]) | |
P.figure(figsize=(8, 8*asp)) | |
P.clf() | |
P.tricontour(x, y, fl, [0.5], colors='black') |
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Traceback (most recent call last): | |
File "./plot.py", line 116, in <module> | |
plot_planes(s) | |
File "./plot.py", line 75, in plot_planes | |
P.tricontour(x, y, fl, [0.5], colors='black') | |
File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 3090, in tricontour | |
ret = ax.tricontour(*args, **kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/axes.py", line 8922, in tricontour | |
return mtri.tricontour(self, *args, **kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/tri/tricontour.py", line 280, in tricontour | |
return TriContourSet(ax, *args, **kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/tri/tricontour.py", line 36, in __init__ | |
ContourSet.__init__(self, ax, *args, **kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/contour.py", line 780, in __init__ | |
self._process_args(*args, **kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/tri/tricontour.py", line 47, in _process_args | |
tri, z = self._contour_args(args, kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/tri/tricontour.py", line 82, in _contour_args | |
Triangulation.get_from_args_and_kwargs(*args, **kwargs) | |
File "/usr/lib/pymodules/python2.7/matplotlib/tri/triangulation.py", line 172, in get_from_args_and_kwargs | |
triangulation = Triangulation(x, y, triangles, mask) | |
File "/usr/lib/pymodules/python2.7/matplotlib/tri/triangulation.py", line 72, in __init__ | |
dt = delaunay.Triangulation(self.x, self.y) | |
File "/usr/lib/pymodules/python2.7/matplotlib/delaunay/triangulate.py", line 123, in __init__ | |
self.hull = self._compute_convex_hull() | |
File "/usr/lib/pymodules/python2.7/matplotlib/delaunay/triangulate.py", line 158, in _compute_convex_hull | |
hull.append(edges.pop(hull[-1])) | |
KeyError: 5685 |
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from scipy.spatial import Delaunay | |
from matplotlib.tri import Triangulation | |
data = N.loadtxt(filename) | |
x = 100*data[:, xidx] | |
y = 100*data[:, yidx] | |
pts = N.column_stack((x, y)) | |
tri = Delaunay(pts) | |
mtri = Triangulation(x, y, tri.simplices.copy()) | |
fl = data[:, flidx] | |
asp = 4.5/(xlim[1] - xlim[0]) | |
P.figure(figsize=(8, 8*asp)) | |
P.clf() | |
P.tricontour(mtri, fl, [0.5], colors='black') |
Thought matplotlib and scipy use the same algorithm for triangulation appears I was wrong.