Hey Matplotlib users,
Im trying to use the tricontourf function in matplotlib to reduce the
complexity of an unstructured dataset into contours.
The resulting contours are retrieved from the path by the to_polygon() function, but i have some trouble distinguishing inner boundaries on the
polygons, while plot.show() clearly doesn't
Using Matplotlib 1.01, and the attached code, I get one level, consisting of 2 polygons, where the first is the outer boundary, and the second should
be the inner boundary.
The figure shown by show() correctly displays a square with a inner square cut-out. However i cannot distinguish between inner and outer boundaries in
the list of polygons that to_polygon() returns.
Is there a trick how the plot functions distinguish inner boundaries? Calculating for each polygon if it is contained in other polygons will become
complicated with a large number of polygons: As far as i can tell this would be checking if the starting point of each polygon is contained in any of
the other polygons. Is there a simpler method i missed?
Thanks in advance,
Tijs de Kler
import matplotlib
import matplotlib.pyplot as plot
x_array = []
y_array = []
for i in range(1,5) :
for j in range(1,5) :
x_array.append(i)
y_array.append(j)
triang = [ [0,4,5],[0,5,1], [1,5,6],[1,6,2], [2,6,7], [2,7,3],[4,8,9], [4,9,5], [6,10,11],[6,11,7], [8,12,13], [8,13,9],[9,13,14], [9,14,10], [10,14,15],[10,15,11]]
triangle_poly =matplotlib.tri.Triangulation(x_array, y_array, triang)
data=[1]*16
level_list = [0,2]
contourplot = plot.tricontourf(triangle_poly, data, level_list)
for level in contourplot.collections:
print level.get_paths()[0].to_polygons()
plot.show()
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